MicroRNA-144-3p inhibits autophagy activation and enhances Bacillus Calmette-Guérin infection by targeting ATG4a in RAW264.7 macrophage cells

Le Guo; Linlin Zhou; Qian Gao; Aijun Zhang; Jun Wei; Dantong Hong; Yuankui Chu; Xiangguo Duan; Ying Zhang; Guangxian Xu

doi:10.1371/journal.pone.0179772

Abstract

MicroRNAs (miRNAs) are small noncoding nucleotides that play major roles in the response of host immune cells. Autophagy plays a key role in activating the antimicrobial host defense against Mycobacterium tuberculosis (M. tuberculosis). Whether miRNAs specifically influence the activation of macrophage autophagy during M. tuberculosis infection is largely unknown. In the present study, we demonstrate that Mycobacterium bovis Bacillus Calmette-Guérin (BCG) infection of macrophages leads to increased expression of miR-144-3p, which targets autophagy-related gene 4a (ATG4a), to inhibit autophagy activation and antimicrobial responses to BCG. Overexpression of miR-144-3p significantly decreased both mRNA and protein levels of ATG4a, inhibited the formation of autophagosomes in RAW264.7 cells and increased intracellular survival of BCG. However, transfection with miR-144-3p inhibitor led to an increase in ATG4a levels, accelerated the autophagic response in macrophages, and decreased BCG survival in macrophages. The experimental results of this study reveal a novel role of miR-144-3p in inhibiting autophagy activation by targeting ATG4a and enhancing BCG infection, and provide potential targets for developing improved treatment.

Citation: Guo L, Zhou L, Gao Q, Zhang A, Wei J, Hong D, et al. (2017) MicroRNA-144-3p inhibits autophagy activation and enhances Bacillus Calmette-Guérin infection by targeting ATG4a in RAW264.7 macrophage cells. PLoS ONE 12(6): e0179772. https://doi.org/10.1371/journal.pone.0179772

Editor: Vladimir Trajkovic, Univerzitet u Beogradu, SERBIA

Received: January 3, 2017; Accepted: June 2, 2017; Published: June 21, 2017

Copyright: © 2017 Guo et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Data Availability: All relevant data are within the paper and its Supporting Information files.

Funding: This work was funded by the National Natural Science Foundation of China (No. 31472168; No. 31160494) and the 2013 Clinical Laboratory Diagnosis Creative Group Open Project.

Competing interests: The authors have declared that no competing interests exist.

Introduction

Mycobacterium tuberculosis (M. tuberculosis), the causative agentof infectious tuberculosis, is a major human pathogenic bacterium that can survive within macrophages, and leads to 1.5 million people death every year in the world [1]. A coordinated cell response mediated by macrophages and T lymphocytes from the innate and adaptive immune system is required for the control of M. tuberculosis infection [2]. Interestingly, macrophages are not only primary cell types in which M. tuberculosis resides predominantly, but also the first line of defense against M. tuberculosis [3]. The recognition of M. tuberculosis is mediated by various pattern recognition receptors (PRRs). Interaction of mycobacterial ligands with PRRs leads macrophages and dendritic cells (DCs) to secrete selected cytokines which can play a protective role against M. tuberculosis [4]. However, M. tuberculosis can evade destruction by antimicrobial defense mechanisms of the innate immune system, causing survival and persistence of M. tuberculosis within host macrophages [5]. For instance, M. tuberculosis can prevent maturation of normal phagosome, block phagosome fusion with lysosomes, and produce a favorable environment for bacterial survival and replication [6, 7]. Therefore, a critical balance in the interactions between the macrophage and M. tuberculosis could be instrumental in determining the outcome of infection. During the co-existence with host, M. tuberculosis consist of a complex network within macrophages to manipulate the immune response for its survival [8].

Autophagy is an evolutionarily conserved mechanism of cellular self-digestion in which damaged organelles and misfolded proteins are degraded in order to recycle nutrients for cell survival [9, 10]. Increasing evidence has suggested that autophagy is a central element of innate immune responses against different invading pathogens [11]. Besides, autophagy is regulated primarily by numerous distinct autophagy-related (ATG) proteins. Thus far 34 ATGs in all subtypes of autophagy have been identified [12, 13], such as ATG1, ATG4, ATG5, ATG12 and ATG8. Among the ATGs, ATG4 and microtubule-associated protein light chain 3 (LC3) are essential for autophagy induction. ATG4 enzymes can cut off C-terminal last five amino acids of LC3 and expose a critical glycine residue of LC3. In addition, ATG4 proteins also contribute to the deconjugation reaction of LC3-II, as ATG4 proteins delipidates LC3-II and removes it from the autophagic vesicle surface [14, 15]. The deconjugation of LC3 regulated by ATG4a proteins was widely regarded as a very important event influencing the amplitude of the autophagic response [16].

MicroRNAs (miRNAs) are a class of evolutionarily conserved, endogenous, single stranded RNA molecules containing about 22 nucleotides and post-transcriptionally regulate cellular gene expression through partial binding to the mRNA of genes. MicroRNAs regulate gene expression by a variety of mechanisms [17]. In addition, miRNAs are known to be involved in various biological pathways, including differentiation, development, cell growth, immune regulation, apoptosis, and disease progression [18]. Recently, miRNAs have emerged to be involved in immune responses of host cells against invading pathogens [19]. They also acted as important regulators of autophagy, which is medicated by lysosome and aided in degradation of a cell’s own compoments [20–24].

The miR-144-3p belongs to the cluster miR-144/451 or miR-144 family which encodes these miRNAs (miR-144-3p, miR-144* and miR-451). Research has shown that cardiac hypertrophy and cardiac autophagy were regulated by miR-451, which can target TSC1 [25]. The formation of autophagosome was depressed by overexpression of miR-451 in vitro. Conversely, autophagosome formation was accelerated by miR-451 knockdown. Another study confirmed that the expression levels of sputum and serum miR-144-3p were significantly upregulated in the tuberculosis patients, but were found to decrease significantly after anti-tuberculosis treatment [26]. In addition, it has been reported that cisplatin-induced VEGF can suppress the expression levels of miR-144 in prostate cancer cells, which subsequently upregulates Beclin-1 to increase autophagic cell survival against cisplatin-induced cell death [27]. Chen S et al have shown that miR-144 increased autophagy in lung cancer cells by targeting TIGAR [28]. However, the regulatory function of miR-144-3p in intracellular bacterial clearance mediated by autophagy remains unclear.

In the present study, we explored the potential role of miR-144-3p in RAW264.7 macrophages in response to Bacillus Calmette-Guérin (BCG) infection. We found that miR-144-3p expression was significantly induced in macrophage RAW264.7 cells after BCG infection. Overexpression of miR-144-3p reduced the abundance of ATG4a, p62 and LC3I/II protein, thus inhibiting maturation of autophagosome in macrophages. Furthermore, we confirmed that ATG4a is a novel functional target of miR-144-3p in inhibiting autophagy activation and enhancing mycobacterial infection. These findings contribute to a better understanding of mechanisms that facilitate bacterial survival and replication in macrophages.

Materials and methods

Cells and mycobacterial culture

Murine macrophage RAW264.7 cells (ATCC; TIB-71) were purchased from the Type Culture Collection of the Chinese Academy of Sciences, Shanghai, China. The cells were cultured at 37℃ in a humidified atmosphere of 5% CO₂ and 95% oxygen. They were maintained in RPMI-1640 or DMEM medium (Gibco) supplemented with 10% Fetal Bovine Serum (FBS) and 1% pen/strep. Bacillus Calmette-Guérin (BCG) Beijing strain developed from BCG Denmark, which shows protective efficacy similar to that of BCG Denmark [29], was provided by Chinese Center for Disease Control and Prevention (CCDC). M. bovis BCG cultures were grown in Middlebrook 7H9 broth supplemented with 10% albumin dextrose catalase (ADC) for 2 weeks. The precipitates were harvested by centrifugation and and resuspended in the BCG culture medium.

Quantitative real-time PCR (qRT-PCR)

For qRT-PCR analysis, TRIzol reagent (Sigma-Aldrich, T9424) was used to isolate Total RNA. RNAiso for Small RNA kit (Takara) was utilized to purify miRNAs. The miR-144-3p levels were assessed by qRT-PCR by using TransStart Top Green qPCR SuperMix kit (TransGen Biotech) with thermal cycling conditions of 95℃ for 30 s, followed by 50 cycles of 95℃ for 5 s, 60℃ for 20 s, and 72℃ for 20 s. Small nuclear RNA (RNU6) was used to normalize for miR-144-3p. The primer sequences for miR-144-3p quantification were as follows: miR-144-3p for cDNA reverse transcription (5’-CTCAACTGGTGTCGTGGAGTCGGCAATTCAGTTGAGAGTA CATC-3’), miR-144-3p for qRT-PCR (Forward, 5’-ACACTCCAGCTGGGTAC AGTATAGATGATGTACT-3’; Reverse, 5’-CTCAACTG GTG TCGTGGA-5’).

In order to quantify the BCG burden in RAW264.7 cells following a treatment, a qRT-PCR assay was employed [30]. Briefly, the RAW264.7 cells were transfected with miR-144-3p control, miR-144-3p mimic or inhibitor for 24 h, or were treated with rapamycin or 3-MA for 2 h. After that, the RAW264.7 cells were infected with BCG for 24 h. The cells were then harvested for total DNA extraction using a commercially available genomic DNA kit (Tiangen Biotech, Beijing, China). The abundance of intracellular bacilli was determined by accessing BCG DNA using a qPCR assay; the primer set used for qPCR was based on BCG specific sequence (IS6110, Sequence ID: gi|6006564|emb|X57835.2|); the sequences of primers were F: 5’-GGACGGAAACTTGAACACG-3’ and R: 5’-TCTGACGACCTGATGATTGG-3’. Standard PCR cycle parameters were as follows: 95℃ for 30 s, followed by 40 cycles of 95℃ for 15 s, 60℃ for 30 s and 72℃ for 30 s. The BCG abundance was calculated against β-actin (5’-CAAGTCATCACTATTGGCAACGA-3’; R: 5’-CCAAGAAGGAAGGCTGGAAAA-3’), an internal control of host cells, using a comparative Ct (ΔΔCt) method.

Transient transfection

To determine the potential function of miR-144-3p, RAW264.7 cells were transiently transfected with 50 nM control or miR-144-3p mimic (GenePharma, Shanghai, China); 50 nM control or miR-144-3p inhibitor (GenePharma, Shanghai, China) by using Lipofectamine 2000 (Invitrogen, USA).

Target prediction and dual-luciferase reporter assay

The targets of miR-144-3p were identificated by bioinformatic software, miRanda (http://www.microrna.org/microrna/home.do) online, DIANA-MICROT (http://diana.cslab.ece.ntua.gr) and miRDB (http://mirdb.org/miRDB/). For dual-luciferase reporter assay, the ATG4a 3' UTR segments, containing the binding elements of miR-144-3p or its mutant versions were synthesized as sense and antisense linkers. The primers used during the study were ATG4a primers and ATG4a mutant primers, as shown in S1 Table. The mutated nucleotides in the primer sequence were indicated by bold. Besides, the restriction sites of Mlu I and HindIII were respectively introduced in the forward and reverse primers and indicated by underline. The cDNA generated from RAW264.7 RNA was used as templates for amplification of the 3’UTR fragment by a PCR assay. The wild-type and mutated 3’UTR fragment were then cloned into the downstream of luciferase reporter gene of pMIR-Report vector (Promega, Madison, WI, USA), by which the ATG4a mRNA luciferase reporter constructs, pMIR-Report-WT-ATG4a (harboring wild-type 3’UTR) and pMIR-Report-Mut-ATG4a (harboring mutant 3’UTR) were generated. The specificity of miR-144-3p targeting ATG4a mRNA was ascertained by co-transfection of miR-144-3p mimic or inhibitor (Shanghai GenePharma Co.,Ltd) and pMIR-Report-ATG4a/Mut into RAW264.7 cells, and determined by relative activity of firefly luciferase unit (RLU) at 48 h post-transfection using a dual-luciferase reporter assay kit as recommended by the manufacturer (Promega, Madison, WI, USA). A Renilla luciferase expressing plasmid pRL-TK (Promega, Madison, WI, USA) was included in the transfection to normalize the efficiency of each transfection.

Immunoblotting analysis

The cellular total protein were obtained by a protein extraction kit. Besides, the Bradford protein assay kit (BESTBIO) was used to determine the protein concentration. 30 μg or 50 μg of total cell extracts were analyzed by Western blotting. The proteins were loaded onto 15% SDS-PAGE gels and transferred onto a polyvinylidene difluoride (PVDF) membrane (Millipore, USA). Membranes were incubated with 1 μg/ml Rabbit anti-ATG4a antibody (Polyclonal, ABGENT), 2 μg/ml mouse anti-SQSTM1/p62 antibody (Monoclonal, Abcam), 2 μg/ml rabbit anti-LC3 antibody (Cell Signaling Technology, Inc.), 2.5 μg/ml rabbit anti-GAPDH antibody (Monoclonal, Cell Signaling Technology, Inc.) or 2 μg/ml mouse anti-β-actin antibody (Monoclonal, Cell Signaling Technology, Inc.). After that, the membranes were incubated with 1 μg/ml HRP-conjugated goat anti-rabbit IgG secondary antibody or 1 μg/ml HRP-conjugated goat anti-mouse IgG secondary antibody (Proteintech Group, Inc.). Immunoreactive band analysis was performed by using the enhanced western bright ECL reagent (Advansta, United States). Densitometry analyses of western blots were performed with ImageJ software (version 1.46). Western blots were developed to be linear in the range used for densitometry. All results were expressed as a relative ratio to the β-actin or GAPHD. At least three or four independent western blot experiments were performed.

Immunocyto-fluorescent staining

The RAW264.7 cells were transfected with miR-144-3p control, miR-144-3p mimic or miR-144-3p inhibitor for 24 h, or treated with 50 μg/ml rapamycin (MedChemExpress) in 0.1% DMSO. After that, the RAW264.7 cells were infected with BCG for 24 h. The cells were fixed in 4% paraformaldehyde for 20 min, permeabilized with 0.2% Triton X-100 (Sigma) for 10 min, and incubated with 10 μg/ml rabbit anti-LC3 primary antibody (Cell Signaling Technology, Inc.) at 4℃ for overnight. The cells were then incubated with 2 μg/ml Alexa Fluor 488–conjugated goat anti-rabbit IgG (Abcam) at room temperature for 1 h. Nuclei were stained with Prolong Gold anti-fade reagent with 4’-6-diamidino-2-phenylindole (DAPI) (P36931, Invitrogen, Grand Island, NY, USA) for 1 min. The fluorescence images were acquired using an Olympus DSU spinning disk confocal microscope under a 100 × objective oil lens. To quantify autophagy, endogenous LC3 punctate dots were determined using ImageJ software (version 1.46). At least 15 cells were counted per condition in each experimental group and assays were repeated in triplicate for each condition.

Fluorescent dye Lyso tracker RED labeled acid compartments

RAW264.7 cells infected with BCG were transiently transfected with control, miR-144-3p mimic, miR-144-3p inhibitor, or treated with 20 μM chloroquine (CQ, Sigma) or 50 μg/ml rapamycin (MedChemExpress). Afte that, the RAW264.7 cells were incubated with a specific fluorescent dye Lyso tracker RED (50 nM) for 2 h at 37℃. The cells were then washed to remove excess label. The Lyso tracker RED labeled autophagic vacuoles were detected by confocal microscopy.

Transmission electron microscopy

The detection of autophagosomes was performed by transmission electron microscopy (TEM) according to the methods as previously reported [30, 31]. The RAW264.7 cells were transfected with miR-144-3p control, miR-144-3p inhibitor or mimics, or were treated with 50 μg/ml rapamycin (MedChemExpress) or rapamycin plus miR-144-3p mimic, and the infected with BCG for 24 h. After fixed in 2% v/v glutaraldehyde in 0.05 M sodium phosphate buffer for 24 h, the samples were subsequently postfixed in 1% w/v OsO4 for 2 h. After dehydration with ethanol, the samples were transferred to propylene oxide and embedded in Epon. The sections (80 nm) were stained with uranyl acetate and lead citrate, and examined using a Phillips CM 100 BioTWIN transmission electron microscope (magnifications: ×1000 for overviews and ×3000 for close-ups). The highresolution images of cellular cross-sections were obtained by using ITEM digital imaging software. For each experimental group, the autophagosomes of 15 cellular cross-sections were counted.

Colony-Forming Unit assay

Colony-Forming Unit (CFU) assay was performed according to the method described previously with some modifications [23, 32]. RAW264.7 cells were transfected with miR-144-3p control, miR-144-3p mimic or miR-144-3p inhibitor for 24 h, or treated with rapacmycin (50 μg/ml) or 3-MA (10 mM) for 2 h, and then infected with 1×10⁷ BCG. After incubation with BCG for 1 h at 37℃, the extracellular mycobacteria were removed by washing with PBS. The infected cells were cultured for anther 24 h, 48 h, or 72 h. After that, quantitative culturing was performed using 10-fold serial dilutions on Middlebrook 7H10 agar plates with OADC. Plates were cultured for 3 weeks, and colonies were counted.

Statistical analysis

Statistical analyses were performed using two-tailed Student’s t-test. Comparisons between groups were performed using ANOVA. Data was presented as the mean standard deviation SD). Significant differences were assigned to p values <0.05, <0.01 and <0.001, denoted by *, **and ***, respectively.

Results

MiR-144-3p is significantly increased in RAW264.7 after BCG infection

MiR-144-3p plays essential regulatory roles in the host immune response [33, 34]. However, little is known about its functional role in modulating autophagy. Recent studies have revealed that the expression levels of sputum and serum miR-144 were significantly upregulated in the tuberculosis patients, but were found to decrease significantly after anti-tuberculosis treatment [26]. These data imply a potential correlation of miR-144-3p with mycobacterial infection. In order to identify miR-144-3p expression level in vitro in response to mycobacterial infection, the expression level of miR-144-3p was detected in the RAW264.7 infected with BCG. Using a qRT-PCR assay, we found that the expression level of miR-144-3p was increased in BCG-challenged RAW264.7 cells in a dose- and time-dependent manner (Fig 1A and 1B). Our results indicate that the miR-144-3p could play a regulatory role in macrophages in response to mycobacterial infection. Besides. miRNA expression profile in dendritic cells (DCs) infected with BCG wes also identified by microarray analysis. The result showed that miR-144-3p expression was up-regulated in DCs infected with BCG, as shown in S1 Fig and S1 Text.

Download:

Fig 1. miR-144-3p expression is induced after BCG infection.

(A) RAW264.7 cells were infected with BCG at different MOI for 24 h, and the expression levels of miR-144-3p were measured by qRT-PCR. The normalized miR-144-3p expression for control (MOI = 0) was set as 1. Data are shown as the mean ± SD of at least three independent experiments. **, p<0.01; ***, p <0.001. (B) miR-144-3p expression levels were examined after infected with BCG at an MOI of 10 for the indicated times, and the expression levels of miR-144-3p were measured by qRT-PCR. The normalized miR-144-3p expression for control (the infection time = 0) was set as 1. Data are shown as the mean ± SD of at least three independent experiments. *, p <0.05; **, p<0.01; ***, p <0.001.

https://doi.org/10.1371/journal.pone.0179772.g001

MiR-144-3p suppresses ATG4a by interacting with its 3'UTR

Autophagy is a defense mechanism suppressing intracellular bacteria survival in macrophages [35]. Based on bioinformatic analysis by miRanda, DIANA-MICROT and miRDB, the relevant targets of miR-144-3p which regulates autophagy were identified, and then its interaction network was drawn (data not shown). We found that ATG4a, which was known as an important protein which can influence autophagic response, displayed a potential target sequence matching with miR-144-3p in its 3'UTR (Fig 2A). Real-time PCR data displayed that miR-144-3p mimic could increase the miR-144-3p expression level. However, miR-144-3p inhibitor could markedly reduce the expression level of miR-144-3p in RAW264.7 cells (Fig 2B). The dual luciferase data showed that miR-144-3p over-expression could inhibit luciferase activity in the RAW264.7 cells containing the WT-ATG4a 3'UTR reporter. However, miR-144-3p overexpression did not have a significant inhibition effect on luciferase activity in the RAW264.7 cells containing Mut-ATG4a 3'UTR reporter (Fig 2C). The quantitative densitometric data analysis from the proteins on the Western blot showed that transfection with an miR-144-3p mimic resulted in a significant decrease in ATG4a protein expression in RAW264.7 cells. In contrast, ATG4a protein levels were significantly increased in RAW264.7 cells, after endogenous miR-144-3p was blocked by the transfection of an miR-144-3p inhibitor (Fig 2D). Besides, the expression level of ATG4a mRNA was suppressed by miR-144-3p mimics (Fig 2E). However, miR-144-3p inhibitors had an inducing effect on the levels of ATG4a mRNA expression. Taken together, these results indicate that miR-144-3p inhibits ATG4a expression by targeting its 3'UTR binding site.

Download:

Fig 2. miR-144-3p represses ATG4a expression by targeting its 3' UTR.

(A) Bioinformatic analysis was used to predict the mouse miR-144-3p seed sequences and the 3'UTR sequences of wild type (WT) and mutant ATG4a. (B) The expression level of miR-144-3p in RAW264.7 cells transfected with miR-144-3p control, miR-144-3p mimic or its inhibitor was determined by a qRT-PCR assay. qRT-PCR data were normalized with U6 small nucleolus RNA data. Data represent the mean ± SD from three independent experiments. **p<0.01. (C) RAW264.7 cells were cotransfected with pMIR-REPORT Luciferase vector carrying wild-type ATG4a or mutant ATG4a, along with miR-144-3p control or miR-144-3p mimics, and a luciferase assay was performed. Data are shown as mean ± SD of four independent experiments. **p<0.01. (D) RAW264.7 cells were transfected with miR-144-3p control, miR-144-3p mimic or miR-144-3p inhibitor. 50 μg of total cell extracts were analyzed by Western blotting with a rabbit anti-ATG4a antibody. Representative Western blot image for ATG4a expression and quantitative analysis of ATG4a protein levels, normalized to GAPDH expression, are shown. Data are shown as mean ± SD of four independent experiments. *, p <0.05; **, p<0.01. (E) RAW264.7 cells were transfected with miR-144-3p control, miR-144-3p mimic or miR-144-3p inhibitor. The expression levels of ATG4a mRNA were detected by qRT-PCR. Data represent the mean ± SD from three independent experiments. **p<0.01, ***p<0.001.

https://doi.org/10.1371/journal.pone.0179772.g002

MiR-144-3p inhibits autophagy in macrophages

ATG4a and LC3 play essential roles in the initiation of autophagy [36]. Because ATG4a is a target protein of miR-144-3p, we determine whether miR-144-3p regulated the activation of autophagy in macrophages during BCG infection. To test the hypothesis that miR-144-3p inhibits autophagy in macrophages to arrest the maturation of mycobacterial phagosomes, we evaluated the autophagic activity in RAW264.7 cells using Western blotting and confocal microscopy to test the processing of LC3 (conversion from LC3-I to LC3-II) and the number of LC3-II puncta, respectively. Results showed that miR-144-3p mimics inhibited the formation of LC3 puncta. However, miR-144-3p inhibitors promoted the formation of LC3 puncta (Fig 3A and 3B). Western-blot results showed that the expression level of LC3-II was decreased in uninfected or BCG-infected RAW264.7 cells after transfection with miR-144-3p mimics, but LC3-II expression level was increased in BCG-infected RAW264.7 cells after transfection with miR-144-3p inhibitors (Fig 3C). These results indicated miR-144-3p had an inhibitory effect on autophagy in RAW264.7 cells.

Download:

Fig 3. miR-144-3p inhibits autophagy in RAW264.7 cells.

(A and B) RAW264.7 cells were transfected with miR-144-3p control, miR-144-3p mimic or inhibitor, and then infected with BCG for 24 h. The cells were incubated with a rabbit anti-LC3 Ab, followed by detection using Alexa Fluor 488–conjugated goat anti-rabbit IgG and DAPI. The formation of LC3 puncta was then detected by confocal microscopy. Scale bar = 5 μm. The control cells are BCG-infected cells without transfection with any types of miRNAs. LC3 puncta were determined using ImageJ software (miR-144-3p control, n = 15 cells; miR-144-3p mimic, n = 15 cells; miR-144-3p inhibitor, n = 15 cells). Data represent the means ± SD from three independent experiments. *p < 0.05, **p < 0.01. (C) RAW264.7 cells were transfected with an miR-144-3p mimic or inhibitor and then infected with BCG for 24 h. 30 μg of total cell extracts were analyzed by Western blotting with a rabbit anti-LC3 antibody. The conversion of LC3-I to LC3-II was determined by Western blot analysis (upper). The quantitative analysis of LC3-II protein levels, normalized to β-actin expression, are shown (lower). Data are shown as mean ± SD of three independent experiments. *, p <0.05; **, p<0.01. (D) RAW264.7 cells transfected with miR-144-3p control or miR-144-3p mimic in full medium with or without 50μg/ml rapamycin or 0.1% DMSO. 50 μg of total cell extracts were analyzed by Western blotting with a mouse anti-SQSTM1/p62 antibody. The p62 levels were detected by Western-blot (upper). Quantitative analysis of the p62 band normalized to β-actin is shown (lower). Data are shown as mean ± SD of four independent experiments. *, p <0.05. (E) RAW264.7 cells were transfected with miR-144-3p control, miR-144-3p mimic or inhibitor and then infected with BCG. 50 μg of total cell extracts were analyzed by Western blotting with a rabbit anti-ATG4a antibody. Representative Western blot image for ATG4a expression (upper) and quantitative analysis of ATG4a protein levels, normalized to β-actin expression (lower), are shown. Data are shown as mean ± SD of three independent experiments. *, p <0.05; **, p<0.01. (F) miR-144-3p inhibited autolysosome formation. RAW264.7 cells were transiently transfected with miR-144-3p control, miR-144-3p mimic or inhibitor, or were treated with rapamycin, chloroquine, or rapamycin plus miR-144-3p mimic. Then RAW264.7 cells were infected with BCG for 24 h. After that the RAW264.7 cells were incubated with a specific fluorescent dye Lyso tracker RED (50 nM). The control cells are BCG-infected cells without transfection with any types of miRNAs. The positive acid compartments were detected by confocal microscopy. Scale bar = 5 μm.

https://doi.org/10.1371/journal.pone.0179772.g003

In order to further determine the inhibitory effect of miR-144-3p on autophagy, the expression level of p62 protein, which is a molecular carrier of cargo to be degraded by autophagy [37], was measured by Western blotting. When autophagy is induced, the p62 protein level is decreased, and the p62 protein level is increased when autophagy is inhibited. Thus, the p62 is a relatively ideal marker to explore autophagic flux. We found that miR-144-3p overexpression could increase the expression level of p62 in RAW264.7 cells transfected with or without rapamycin (Rapa) which is an autophagy inducer, indicating that miR-144-3p had an inhibition of autophagy. Furthermore, the inhibitory effects of miR-144-3p on autophagy in RAW264.7 cells were partly reversed by treatment with Rapa, as indicated by Western-blot (Fig 3D), revealing that miR-144-3p had antagonistic action on the induction of autophagy by Rapa. To establish the specificity of miR-144-3p, we further examined whether overexpression of miR-144-3p can decrease ATG4a protein expression in uninfected and BCG–infected RAW264.7 cells. The results showed that transfection with an miR-144-3p mimic resulted in a significant decrease in ATG4a protein expression in uninfected and BCG–infected RAW264.7 cells. In contrast, transfection with an miR-144-3p inhibitor increased ATG4a protein expression in uninfected and BCG–infected RAW264.7 cells (Fig 3E).

To further confirm that miR-144-3p can inhibit autophagy, we labeled and tracked acidic organelles by using LysoTracker Red. Lysotracker Red can label acid compartments including degradative autophagic vacuoles (autolysosomes) and lysosomes. Compared with BCG-infected RAW264.7 cells transfected with miR-144-3p control, there were less red spots in BCG-infected RAW264.7 cells after transfection with miR-144-3p mimics or chloroquine (CQ) which is an autophagy inhibitor, indicating that overexpression of miR-144-3p could inhibit the formation of acid compartments just as CQ could (Fig 3F). Besides, the miR-144-3p inhibitors just like rapamycin which is an autophagy inducer could promote the formation of acid compartments. Furthermore, the inhibitory effects of rapamycin on the formation of acid compartments were partly reversed by miR-144-3p mimic, revealing that miR-144-3p had antagonistic action on the induction of autophagy by rapamycin. In a few words, these results implied that miR-144-3p could suppress autophagic response.

MiR-144-3p inhibits autophagosome formation

For better determination of the inhibitory effect of miR-144-3p on autophagy, TEM was utilized to detect autophagosomes. We found that there were less autophagosomes in RAW264.7 cells transfected with miR-144-3p mimics than cells transfected with miR-144-3p control. In addition, the RAW264.7 cells transfected with miR-144-3p inhibitors contained more autophagosomes than those cells transfected with miR-144-3p control (Fig 4A and 4B). Furthermore, the rapamycin-treated cells transfected with miR-144-3p mimics displayed less autophagosomes than those cells treated only with rapamycin (Fig 4C and 4D). These results indicated that overexpression of miR-144-3p could inhibit autophagic response in macrophages and down-regulation of miR-144-3p could promote autophagic response. Besides, miR-144-3p could attenuate induction of autophagy by rapamycin.

Download:

Fig 4. miR-144-3p inhibited autophagosome formation.

(A and B) Transmission electron microscopy confirms repression of autophagy by miR-144-3p overexpression or knockdown. RAW264.7 cells were transfected with miR-144-3p control, miR-144-3p mimic or miR-144-3p inhibitor for 24 h, and then infected with BCG for 24 h. M, mitochondrion. Autophagosomes (denoted by red arrows). The number of autophagosomes per cross-sectioned cell was counted (15 cells per group counted by TEM). *p<0.05, **p<0.01. (C and D) Overexpression of miR-144-3p could attenuate induction of autophagy by rapamycin. The BCG-challenged RAW264.7 cells were transfected with miR-144-3p mimics, and then treated with 50 μg/ml rapamycin for 2 h. Meanwhile the BCG-challenged RAW264.7 cells were treated with rapamycin or 0.1% DMSO as controls. BCG bacteria (denoted by black arrows). M, mitochondrion. Autophagosomes (denoted by red arrows). The number of autophagosomes per cross-sectioned cell was counted (15 cells per group counted by TEM). **p<0.01, ***p<0.001.

https://doi.org/10.1371/journal.pone.0179772.g004

MiR-144-3p enhances intracellular BCG survival in macrophages

In order to further determine whether miR-144-3p can enhance BCG survival in macrophages, the abundance of intracellular bacilli was determined by qPCR assay and Colony-Forming Unit (CFU) assay. With this in mind, the RAW264.7 cells were transiently transfected with miR-144-3p control, miR-144-3p mimic or inhibitor for 24 h before they were infected with BCG. Meanwhile the RAW264.7 cells were treated with rapamycin or 3-MA as controls, respectively. The qPCR assay showed that the abundance of the IS6110 DNA sequence in RAW264.7 cells transfected with miR-144-3p mimic or 3-MA was greater than that in RAW264.7 cells transfected with miR-144-3p control. Additionally, transfection with miR-144-3p inhibitor reduced the abundance of the IS6110 DNA sequence in RAW264.7 cells compared with transfection with miR-144-3p control (Fig 5A). Beside, the BCG viability in macrophages was also tested by CFU assay. Transfection of RAW264.7 cells with miR-144-3p mimic promoted intracellular BCG growth. However, transfection with miR-144-3p inhibitor inhibited BCG growth in macrophages (Fig 5B). Together, these results showed that miR-144-3p enhanced BCG survival in macrophages by inhibiting autophagy.

Download:

Fig 5. Intracellular BCG survival analyzed by qPCR and CFU assay.

(A) The RAW264.7 cells were transfected with miR-144-3p control, miR-144-3p mimic or inhibitor, or were treated with rapamycin or 3-MA, and then infected with BCG for 24 h. The DNA of intracellular BCG was determined by using a qPCR assay. Cells trated with rapamycin or 3-MA were used as a positive or negtive control of autophagy. *p<0.05, **p<0.01, ***p<0.001. (B) The RAW264.7 cells were transfected with miR-144-3p control, miR-144-3p mimic or miR-144-3p inhibitor, or were treated with rapamycin or 3-MA. After that, the RAW264.7 cells were infected with BCG for 24 h, 48 h and 72 h. Intracellular BCG survival was evaluated by CFU assay. *p<0.05, **p<0.01, ***p<0.001.

https://doi.org/10.1371/journal.pone.0179772.g005

Discussion

Autophagy has been demonstrated to play an essential role in activating the antimicrobial host defense against mycobacterial infection. However, the molecular mechanism involved in the autophagy-mediated control of mycobacteria remains largely unclear and is a focus of current studies. Increasing numbers of miRNAs have been shown as regulators of autophagy pathways [38]. Recent studies have shown that several miRNAs, such as miR-20a [30], miR-155 [23] and miR-125a-3p [32], can regulate host autophagic response against mycobacteria. However, the precise mechanism of miRNA-regulated autophagy during M. tuberculosis infection is far from clear. Here we demonstrate that miR-144-3p can regulate the expression of ATG4a, thereby modulating activation of the autophagic pathway and affecting antimycobacterial immunity. We found that miR-144-3p modulated the induction of autophagy and the maturation of autophagosomes during BCG infection by inhibiting ATG4a protein expression (Fig 6) and this effect is mediated through the miR-144-3p complementary sequences contained in the 3’ UTR of ATG4a. In our study, BCG infection could up-regulate miR-144-3p (Fig 1), and miR-144-3p could down-regulate ATG4a (Fig 2D and 2E). However, BCG infection significantly increased ATG4a at protein level (Fig 3E). We speculated that the up-regulated miR-144-3p could inhibit the expression of ATG4a in BCG-infected macrophages, this adjusting process may lag behind autophagy induced by BCG. Moreover, the part of downregulated ATG4a by miR-144-3p may be not sufficient to counteract the upregulated ATG4a induced by BCG. Therefore, despite overexpression of miR-144-3p in BCG-infected macrophages, autophagy still increased. As one of the factors, overexpression of miR-144-3p may slightly continue to suppress ATG4a expression for a long time, leading to inhibiting autophagic responses and increasing intracellular survival of BCG.

Download:

Fig 6. Schematic representation of miR-144-3p inhibiting autophagy activation during mycobacterial infection by targeting ATG4a.

MiR-144-3p overexpression in macrophages directly represses ATG4a by binding to its 3’UTR, which in turn inhibits the formation of autophagosomes in macrophages and increases the survival rate of intracellular mycobacteria.

https://doi.org/10.1371/journal.pone.0179772.g006

We examined BCG-challenged macrophage-like RAW264.7 cells, and found that miR-144-3p expression was gradually increased by the stimulation of BCG in a time- and dose-dependent manner (Fig 1A and 1B). In addition, recent studies have revealed that the expression levels of sputum and serum miR-144 in the tuberculosis patients were both higher than those of the healthy controls [26]. Many studies have confirmed that miR-144-3p plays important roles in many different biological pathways involving inflammatory responses [39], oncogenicity [40] and cell proliferation [41], and mitochondrial function [42]. Autophagy is widely considered as a crucial element of the innate immune response against various invading pathogens, including mycobacteria [43]. However, the exact role of miR-144-3p in elimination of intracellular bacterial pathogens mediated by autophagy needs to be further revealed. Our data provide evidence for an important role for miR-144-3p in regulating ATG4a expression (Fig 2). We found that the overexpression of miR-144-3p suppressed ATG4a protein expression, whereas transfection of cells with mir-144-3p inhibitors resulted in an increase in ATG4a expression in BCG–infected macrophages. Two ubiquitination-like pathways play very important roles in the formation of autophagic vesicle and membrane elongation [44]. The covalent conjugation of the yeast autophagy protein ATG8 [45], or its mammalian homologs MAP1LC3 (or simply LC3) is the end point of these reactions. ATG4 enzymes can cut off the C-terminal last five amino acids of LC3 and expose a critical glycine residue of LC3 [46, 47]. The cyclic utilization of LC3 is critical for the sustained operation of antophagy. Furthermore, ATG4a enzymes play key roles in the deconjugation of LC3 proteins from lipids on the autophagic vesicle surface [48]. It had been reported that autophagy could be bloked by knockdown of ATG4 gene in many different experimental systems [49]. Our data suggest that miR-144-3p is involved in targeting ATG4a to modulate its unique function in autophagy induction during BCG infection.

Whether miR-144-3p influences the activation of autophagy was further analyzed by various experimental methods. In the present study, we demonstrated that miR-144-3p inhibited the processing of LC3 and the accumulation of LC3-II puncta in both BCG-challenged and unchallenged RAW264.7 cells (Fig 3A, 3B and 3C), indicating that miR-144-3p inhibited the autophagic response in macrophages and contributed to intracellular bacterial survival. Moreover, transmission electron microscopy confirms repression of autophagy by miR-144-3p overexpression. LysoTracker Red is a deep red-fluorescent dye for labeling and tracking acid compartments in live cells. The acid compartments tracked by Lysotracker RED contain lysosomes and autolysosomes. Therefore, the number of red spots produced by Lysotracker RED can reflect the intensity of autophagy to some extent. Compared with BCG-infected RAW264.7 cells transfected with miR-144-3p control, there were less red spots in BCG-infected RAW264.7 cells transfection with miR-144-3p mimics or CQ, indicating that overexpression of miR-144-3p could inhibit the formation of lysosome or autolysosome just as CQ could (Fig 3F). Beside, the miR-144-3p inhibitors just like rapamycin which was an autophagy inducer could promote the formation of lysosomes and autolysosomes. Moreover, detection of autophagosomes in cellular cross-section revealed a significant reduction upon miR-144-3p overexpression, relative to the control (Fig 4A, 4B, 4C and 4D). In addition, we found that miR-144-3p significantly promoted the survival of intracellular BCG in RAW264.7 cells. However, miR-144-3p inhibitor reduced bacterial survival of BCG in RAW264.7 cells (Fig 5A and 5B). Therefore, upregulation of miR-144-3p following BCG infection might limit the amplitude of autophagic and autolysosome maturation so that BCG could survive in macrophages. During M. tuberculosis infection, M. tuberculosis is able to arrest processes of phagosomal maturation and acidification in macrophages [50]. Many of current studies focus on promoting the elimination of intracellular mycobacteria by clarifying the molecular mechanisms of the antibacterial autophagy that overcomes phagosome maturation block induced by M. tuberculosis [51]. Our finding that BCG infection caused miR-144-3p induction which in turn suppressed phagosomal maturation and antimycobacterial responses in macrophages by targeting ATG4a suggests that inhibition of autophagy by miR-144-3p is very likely involved in promoting mycobacterial survival.

Taken together, our data reveal a novel role of miR-144-3p in modulating host immunity after BCG infection by controlling ATG4a production. Besides, the findings open a new avenue of research on the molecular mechanism of miRNAs to regulating autophagy by targeting key autophagy-related genes such as ATG4a. Understanding the details of specific miRNAs regulation of autophagy may provide insight into the pathogenesis of various infectious diseases through regulating autophagy process. Furthermore, these studies may shed light on anti-tuberculosis therapeutics, because a range of targeted drugs used to increase antimycobacterial effect by activating autophagy are closely related with host defenses against M. tuberculosis.

Supporting information

S1 Table. Primers used in this study.

https://doi.org/10.1371/journal.pone.0179772.s001

(DOC)

S1 Fig. miRNA expression profile in dendritic cell (DC) infected with BCG.

A heat-map (partial results) of the up-regulated and down-regulated miRNAs in DC by microarray analysis. MiRNAs that Foreground-Background intensities are smaller than 50 in all samples have been excluded. MiR-144-3p expression is up-regulated in DC infected with BCG (DC3) compared with normal control DC (DC1).

https://doi.org/10.1371/journal.pone.0179772.s002

(TIF)

S1 Text. Supplemental materials and methods.

https://doi.org/10.1371/journal.pone.0179772.s003

(DOC)

Acknowledgments

We thank Yuliang Qu and Dan Jiang for insightful discussions.

Author Contributions

Conceptualization: GX LG.
Data curation: LZ QG.
Formal analysis: YC DH XD.
Funding acquisition: GX.
Investigation: JW AZ.
Methodology: YZ.
Project administration: GX.
Resources: YZ GX.
Software: LZ QG.
Supervision: GX.
Validation: GX.
Visualization: GX LZ.
Writing – original draft: LG LZ.
Writing – review & editing: LG LZ GX.

References

1. Korbel DS, Schneider BE, Schaible UE. Innate immunity in tuberculosis: myths and truth. Microbes Infect. 2008;10(9):995–1004. pmid:18762264.
- View Article
- PubMed/NCBI
- Google Scholar
2. Quesniaux V, Fremond C, Jacobs M, Parida S, Nicolle D, Yeremeev V, et al. Toll-like receptor pathways in the immune responses to mycobacteria. Microbes Infect. 2004;6(10):946–59. pmid:15310472.
- View Article
- PubMed/NCBI
- Google Scholar
3. Fenton MJ. Macrophages and tuberculosis. Current opinion in hematology. 1998;5(1):72–8. pmid:9515206.
- View Article
- PubMed/NCBI
- Google Scholar
4. Hossain MM, Norazmi MN. Pattern recognition receptors and cytokines in Mycobacterium tuberculosis infection—the double-edged sword? Biomed Res Int. 2013;2013:179174. pmid:24350246.
- View Article
- PubMed/NCBI
- Google Scholar
5. Hernandez-Pando R, Orozco H, Aguilar D. Factors that deregulate the protective immune response in tuberculosis. Arch Immunol Ther Exp (Warsz). 2009;57(5):355–67. Epub 2009/08/27. pmid:19707720.
- View Article
- PubMed/NCBI
- Google Scholar
6. Bhatt K, Salgame P. Host innate immune response to Mycobacterium tuberculosis. J Clin Immunol. 2007;27(4):347–62. Epub 2007/03/17. pmid:17364232.
- View Article
- PubMed/NCBI
- Google Scholar
7. Baena A, Porcelli SA. Evasion and subversion of antigen presentation by Mycobacterium tuberculosis. Tissue Antigens. 2009;74(3):189–204. Epub 2009/07/01. pmid:19563525.
- View Article
- PubMed/NCBI
- Google Scholar
8. Pieters J. Mycobacterium tuberculosis and the macrophage: maintaining a balance. Cell Host Microbe. 2008;3(6):399–407. Epub 2008/06/11. pmid:18541216.
- View Article
- PubMed/NCBI
- Google Scholar
9. Araya J, Hara H, Kuwano K. Autophagy in the pathogenesis of pulmonary disease. Intern Med. 2013;52(20):2295–303. Epub 2013/10/16. DN/JST.JSTAGE/internalmedicine/52.1118. pmid:24126389.
- View Article
- PubMed/NCBI
- Google Scholar
10. Mizushima N, Levine B, Cuervo AM, Klionsky DJ. Autophagy fights disease through cellular self-digestion. Nature. 2008;451(7182):1069–75. Epub 2008/02/29. pmid:18305538.
- View Article
- PubMed/NCBI
- Google Scholar
11. Cemma M, Brumell JH. Interactions of pathogenic bacteria with autophagy systems. Curr Biol. 2012;22(13):R540–5. pmid:22790007.
- View Article
- PubMed/NCBI
- Google Scholar
12. He C, Klionsky DJ. Regulation mechanisms and signaling pathways of autophagy. Annu Rev Genet. 2009;43:67–93. Epub 2009/08/06. pmid:19653858.
- View Article
- PubMed/NCBI
- Google Scholar
13. Mehrpour M, Esclatine A, Beau I, Codogno P. Overview of macroautophagy regulation in mammalian cells. Cell Res. 2010;20(7):748–62. Epub 2010/06/16. pmid:20548331.
- View Article
- PubMed/NCBI
- Google Scholar
14. Li M, Hou Y, Wang J, Chen X, Shao ZM, Yin XM. Kinetics comparisons of mammalian Atg4 homologues indicate selective preferences toward diverse Atg8 substrates. J Biol Chem. 2011;286(9):7327–38. Epub 2010/12/24. pmid:21177865.
- View Article
- PubMed/NCBI
- Google Scholar
15. Juenemann K, Reits EA. Alternative macroautophagic pathways. International journal of cell biology. 2012;2012:189794. pmid:22536246.
- View Article
- PubMed/NCBI
- Google Scholar
16. Betin VM, Singleton BK, Parsons SF, Anstee DJ, Lane JD. Autophagy facilitates organelle clearance during differentiation of human erythroblasts: evidence for a role for ATG4 paralogs during autophagosome maturation. Autophagy. 2013;9(6):881–93. pmid:23508006.
- View Article
- PubMed/NCBI
- Google Scholar
17. Felekkis K, Touvana E, Stefanou C, Deltas C. microRNAs: a newly described class of encoded molecules that play a role in health and disease. Hippokratia. 2010;14(4):236–40. Epub 2011/02/12. pmid:21311629.
- View Article
- PubMed/NCBI
- Google Scholar
18. Ha TY. MicroRNAs in Human Diseases: From Cancer to Cardiovascular Disease. Immune Netw. 2011;11(3):135–54. pmid:21860607.
- View Article
- PubMed/NCBI
- Google Scholar
19. Chen CZ, Schaffert S, Fragoso R, Loh C. Regulation of immune responses and tolerance: the microRNA perspective. Immunol Rev. 2013;253(1):112–28. pmid:23550642.
- View Article
- PubMed/NCBI
- Google Scholar
20. Chatterjee A, Chattopadhyay D, Chakrabarti G. miR-17-5p downregulation contributes to paclitaxel resistance of lung cancer cells through altering beclin1 expression. PLoS One. 2014;9(4):e95716. Epub 2014/04/24. pmid:24755562.
- View Article
- PubMed/NCBI
- Google Scholar
21. Gwak HS, Kim TH, Jo GH, Kim YJ, Kwak HJ, Kim JH, et al. Silencing of microRNA-21 confers radio-sensitivity through inhibition of the PI3K/AKT pathway and enhancing autophagy in malignant glioma cell lines. PLoS One. 2012;7(10):e47449. Epub 2012/10/19. pmid:23077620.
- View Article
- PubMed/NCBI
- Google Scholar
22. Tekirdag KA, Korkmaz G, Ozturk DG, Agami R, Gozuacik D. MIR181A regulates starvation- and rapamycin-induced autophagy through targeting of ATG5. Autophagy. 2013;9(3):374–85. Epub 2013/01/17. pmid:23322078.
- View Article
- PubMed/NCBI
- Google Scholar
23. Wang J, Yang K, Zhou L, Minhaowu , Wu Y, Zhu M, et al. MicroRNA-155 promotes autophagy to eliminate intracellular mycobacteria by targeting Rheb. PLoS Pathog. 2013;9(10):e1003697. pmid:24130493.
- View Article
- PubMed/NCBI
- Google Scholar
24. Singh Y, Kaul V, Mehra A, Chatterjee S, Tousif S, Dwivedi VP, et al. Mycobacterium tuberculosis controls microRNA-99b (miR-99b) expression in infected murine dendritic cells to modulate host immunity. J Biol Chem. 2013;288(7):5056–61. pmid:23233675.
- View Article
- PubMed/NCBI
- Google Scholar
25. Song L, Su M, Wang S, Zou Y, Wang X, Wang Y, et al. MiR-451 is decreased in hypertrophic cardiomyopathy and regulates autophagy by targeting TSC1. J Cell Mol Med. 2014;18(11):2266–74. Epub 2014/09/12. pmid:25209900.
- View Article
- PubMed/NCBI
- Google Scholar
26. Lv Y, Guo S, Li XG, Chi JY, Qu YQ, Zhong HL. Sputum and serum microRNA-144 levels in patients with tuberculosis before and after treatment. Int J Infect Dis. 2016;43:68–73. pmid:26724775.
- View Article
- PubMed/NCBI
- Google Scholar
27. Liu F, Wang J, Fu Q, Zhang X, Wang Y, Liu J, et al. VEGF-activated miR-144 regulates autophagic survival of prostate cancer cells against Cisplatin. Tumour Biol. 2015. pmid:26566625.
- View Article
- PubMed/NCBI
- Google Scholar
28. Chen S, Li P, Li J, Wang Y, Du Y, Chen X, et al. MiR-144 inhibits proliferation and induces apoptosis and autophagy in lung cancer cells by targeting TIGAR. Cell Physiol Biochem. 2015;35(3):997–1007. Epub 2015/02/11. pmid:25660220.
- View Article
- PubMed/NCBI
- Google Scholar
29. Garcia Pelayo MC, Uplekar S, Keniry A, Mendoza Lopez P, Garnier T, Nunez Garcia J, et al. A comprehensive survey of single nucleotide polymorphisms (SNPs) across Mycobacterium bovis strains and M. bovis BCG vaccine strains refines the genealogy and defines a minimal set of SNPs that separate virulent M. bovis strains and M. bovis BCG strains. Infect Immun. 2009;77(5):2230–8. pmid:19289514.
- View Article
- PubMed/NCBI
- Google Scholar
30. Guo L, Zhao J, Qu Y, Yin R, Gao Q, Ding S, et al. microRNA-20a Inhibits Autophagic Process by Targeting ATG7 and ATG16L1 and Favors Mycobacterial Survival in Macrophage Cells. Frontiers in cellular and infection microbiology. 2016;6:134. pmid:27803889.
- View Article
- PubMed/NCBI
- Google Scholar
31. Frankel LB, Wen J, Lees M, Hoyer-Hansen M, Farkas T, Krogh A, et al. microRNA-101 is a potent inhibitor of autophagy. EMBO J. 2011;30(22):4628–41. pmid:21915098.
- View Article
- PubMed/NCBI
- Google Scholar
32. Kim JK, Yuk JM, Kim SY, Kim TS, Jin HS, Yang CS, et al. MicroRNA-125a Inhibits Autophagy Activation and Antimicrobial Responses during Mycobacterial Infection. J Immunol. 2015;194(11):5355–65. pmid:25917095.
- View Article
- PubMed/NCBI
- Google Scholar
33. Liu HY. Down-regulation of miR-144 after Mycobacterium tuberculosis infection promotes inflammatory factor secretion from macrophages through the Tpl2/ERK pathway. Cell Mol Biol (Noisy-le-grand). 2016;62(2):87–93. pmid:26950457.
- View Article
- PubMed/NCBI
- Google Scholar
34. Rosenberger CM, Podyminogin RL, Diercks AH, Treuting PM, Peschon JJ, Rodriguez D, et al. miR-144 attenuates the host response to influenza virus by targeting the TRAF6-IRF7 signaling axis. PLoS Pathog. 2017;13(4):e1006305. pmid:28380049.
- View Article
- PubMed/NCBI
- Google Scholar
35. Gutierrez MG, Master SS, Singh SB, Taylor GA, Colombo MI, Deretic V. Autophagy is a defense mechanism inhibiting BCG and Mycobacterium tuberculosis survival in infected macrophages. Cell. 2004;119(6):753–66. pmid:15607973.
- View Article
- PubMed/NCBI
- Google Scholar
36. Kanayama M, Shinohara ML. Roles of Autophagy and Autophagy-Related Proteins in Antifungal Immunity. Front Immunol. 2016;7:47. pmid:26925060.
- View Article
- PubMed/NCBI
- Google Scholar
37. Bjorkoy G, Lamark T, Pankiv S, Overvatn A, Brech A, Johansen T. Monitoring autophagic degradation of p62/SQSTM1. Methods Enzymol. 2009;452:181–97. Epub 2009/02/10. pmid:19200883.
- View Article
- PubMed/NCBI
- Google Scholar
38. Frankel LB, Lund AH. MicroRNA regulation of autophagy. Carcinogenesis. 2012;33(11):2018–25. pmid:22902544.
- View Article
- PubMed/NCBI
- Google Scholar
39. Hu YW, Hu YR, Zhao JY, Li SF, Ma X, Wu SG, et al. An agomir of miR-144-3p accelerates plaque formation through impairing reverse cholesterol transport and promoting pro-inflammatory cytokine production. PLoS One. 2014;9(4):e94997. pmid:24733347.
- View Article
- PubMed/NCBI
- Google Scholar
40. Zhang SY, Lu ZM, Lin YF, Chen LS, Luo XN, Song XH, et al. miR-144-3p, a tumor suppressive microRNA targeting ETS-1 in laryngeal squamous cell carcinoma. Oncotarget. 2016;7(10):11637–50. pmid:26826553.
- View Article
- PubMed/NCBI
- Google Scholar
41. Huang C, Geng J, Wei X, Zhang R, Jiang S. MiR-144-3p regulates osteogenic differentiation and proliferation of murine mesenchymal stem cells by specifically targeting Smad4. FEBS Lett. 2016;590(6):795–807. pmid:26918315.
- View Article
- PubMed/NCBI
- Google Scholar
42. Li K, Zhang J, Ji C, Wang L. MiR-144-3p and Its Target Gene beta-Amyloid Precursor Protein Regulate 1-Methyl-4-Phenyl-1,2–3,6-Tetrahydropyridine-Induced Mitochondrial Dysfunction. Molecules and cells. 2016. pmid:27329039.
- View Article
- PubMed/NCBI
- Google Scholar
43. Levine B, Deretic V. Unveiling the roles of autophagy in innate and adaptive immunity. Nat Rev Immunol. 2007;7(10):767–77. Epub 2007/09/04. pmid:17767194.
- View Article
- PubMed/NCBI
- Google Scholar
44. Ohsumi Y, Mizushima N. Two ubiquitin-like conjugation systems essential for autophagy. Semin Cell Dev Biol. 2004;15(2):231–6. Epub 2004/06/24. pmid:15209383.
- View Article
- PubMed/NCBI
- Google Scholar
45. Ichimura Y, Kirisako T, Takao T, Satomi Y, Shimonishi Y, Ishihara N, et al. A ubiquitin-like system mediates protein lipidation. Nature. 2000;408(6811):488–92. pmid:11100732.
- View Article
- PubMed/NCBI
- Google Scholar
46. Marino G, Uria JA, Puente XS, Quesada V, Bordallo J, Lopez-Otin C. Human autophagins, a family of cysteine proteinases potentially implicated in cell degradation by autophagy. J Biol Chem. 2003;278(6):3671–8. pmid:12446702.
- View Article
- PubMed/NCBI
- Google Scholar
47. Tanida I, Ueno T, Kominami E. Human light chain 3/MAP1LC3B is cleaved at its carboxyl-terminal Met121 to expose Gly120 for lipidation and targeting to autophagosomal membranes. J Biol Chem. 2004;279(46):47704–10. Epub 2004/09/10. pmid:15355958.
- View Article
- PubMed/NCBI
- Google Scholar
48. Scherz-Shouval R, Shvets E, Fass E, Shorer H, Gil L, Elazar Z. Reactive oxygen species are essential for autophagy and specifically regulate the activity of Atg4. EMBO J. 2007;26(7):1749–60. Epub 2007/03/10. pmid:17347651.
- View Article
- PubMed/NCBI
- Google Scholar
49. Gozuacik D, Bialik S, Raveh T, Mitou G, Shohat G, Sabanay H, et al. DAP-kinase is a mediator of endoplasmic reticulum stress-induced caspase activation and autophagic cell death. Cell Death Differ. 2008;15(12):1875–86. Epub 2008/09/23. pmid:18806755.
- View Article
- PubMed/NCBI
- Google Scholar
50. Rohde K, Yates RM, Purdy GE, Russell DG. Mycobacterium tuberculosis and the environment within the phagosome. Immunol Rev. 2007;219:37–54. pmid:17850480.
- View Article
- PubMed/NCBI
- Google Scholar
51. Jo EK, Yuk JM, Shin DM, Sasakawa C. Roles of autophagy in elimination of intracellular bacterial pathogens. Front Immunol. 2013;4:97. pmid:23653625.
- View Article
- PubMed/NCBI
- Google Scholar

[ref1] 1. Korbel DS, Schneider BE, Schaible UE. Innate immunity in tuberculosis: myths and truth. Microbes Infect. 2008;10(9):995–1004. pmid:18762264.
View Article
PubMed/NCBI
Google Scholar

[2] View Article

[3] PubMed/NCBI

[4] Google Scholar

[ref2] 2. Quesniaux V, Fremond C, Jacobs M, Parida S, Nicolle D, Yeremeev V, et al. Toll-like receptor pathways in the immune responses to mycobacteria. Microbes Infect. 2004;6(10):946–59. pmid:15310472.
View Article
PubMed/NCBI
Google Scholar

[6] View Article

[7] PubMed/NCBI

[8] Google Scholar

[ref3] 3. Fenton MJ. Macrophages and tuberculosis. Current opinion in hematology. 1998;5(1):72–8. pmid:9515206.
View Article
PubMed/NCBI
Google Scholar

[10] View Article

[11] PubMed/NCBI

[12] Google Scholar

[ref4] 4. Hossain MM, Norazmi MN. Pattern recognition receptors and cytokines in Mycobacterium tuberculosis infection—the double-edged sword? Biomed Res Int. 2013;2013:179174. pmid:24350246.
View Article
PubMed/NCBI
Google Scholar

[14] View Article

[15] PubMed/NCBI

[16] Google Scholar

[ref5] 5. Hernandez-Pando R, Orozco H, Aguilar D. Factors that deregulate the protective immune response in tuberculosis. Arch Immunol Ther Exp (Warsz). 2009;57(5):355–67. Epub 2009/08/27. pmid:19707720.
View Article
PubMed/NCBI
Google Scholar

[18] View Article

[19] PubMed/NCBI

[20] Google Scholar

[ref6] 6. Bhatt K, Salgame P. Host innate immune response to Mycobacterium tuberculosis. J Clin Immunol. 2007;27(4):347–62. Epub 2007/03/17. pmid:17364232.
View Article
PubMed/NCBI
Google Scholar

[22] View Article

[23] PubMed/NCBI

[24] Google Scholar

[ref7] 7. Baena A, Porcelli SA. Evasion and subversion of antigen presentation by Mycobacterium tuberculosis. Tissue Antigens. 2009;74(3):189–204. Epub 2009/07/01. pmid:19563525.
View Article
PubMed/NCBI
Google Scholar

[26] View Article

[27] PubMed/NCBI

[28] Google Scholar

[ref8] 8. Pieters J. Mycobacterium tuberculosis and the macrophage: maintaining a balance. Cell Host Microbe. 2008;3(6):399–407. Epub 2008/06/11. pmid:18541216.
View Article
PubMed/NCBI
Google Scholar

[30] View Article

[31] PubMed/NCBI

[32] Google Scholar

[ref9] 9. Araya J, Hara H, Kuwano K. Autophagy in the pathogenesis of pulmonary disease. Intern Med. 2013;52(20):2295–303. Epub 2013/10/16. DN/JST.JSTAGE/internalmedicine/52.1118. pmid:24126389.
View Article
PubMed/NCBI
Google Scholar

[34] View Article

[35] PubMed/NCBI

[36] Google Scholar

[ref10] 10. Mizushima N, Levine B, Cuervo AM, Klionsky DJ. Autophagy fights disease through cellular self-digestion. Nature. 2008;451(7182):1069–75. Epub 2008/02/29. pmid:18305538.
View Article
PubMed/NCBI
Google Scholar

[38] View Article

[39] PubMed/NCBI

[40] Google Scholar

[ref11] 11. Cemma M, Brumell JH. Interactions of pathogenic bacteria with autophagy systems. Curr Biol. 2012;22(13):R540–5. pmid:22790007.
View Article
PubMed/NCBI
Google Scholar

[42] View Article

[43] PubMed/NCBI

[44] Google Scholar

[ref12] 12. He C, Klionsky DJ. Regulation mechanisms and signaling pathways of autophagy. Annu Rev Genet. 2009;43:67–93. Epub 2009/08/06. pmid:19653858.
View Article
PubMed/NCBI
Google Scholar

[46] View Article

[47] PubMed/NCBI

[48] Google Scholar

[ref13] 13. Mehrpour M, Esclatine A, Beau I, Codogno P. Overview of macroautophagy regulation in mammalian cells. Cell Res. 2010;20(7):748–62. Epub 2010/06/16. pmid:20548331.
View Article
PubMed/NCBI
Google Scholar

[50] View Article

[51] PubMed/NCBI

[52] Google Scholar

[ref14] 14. Li M, Hou Y, Wang J, Chen X, Shao ZM, Yin XM. Kinetics comparisons of mammalian Atg4 homologues indicate selective preferences toward diverse Atg8 substrates. J Biol Chem. 2011;286(9):7327–38. Epub 2010/12/24. pmid:21177865.
View Article
PubMed/NCBI
Google Scholar

[54] View Article

[55] PubMed/NCBI

[56] Google Scholar

[ref15] 15. Juenemann K, Reits EA. Alternative macroautophagic pathways. International journal of cell biology. 2012;2012:189794. pmid:22536246.
View Article
PubMed/NCBI
Google Scholar

[58] View Article

[59] PubMed/NCBI

[60] Google Scholar

[ref16] 16. Betin VM, Singleton BK, Parsons SF, Anstee DJ, Lane JD. Autophagy facilitates organelle clearance during differentiation of human erythroblasts: evidence for a role for ATG4 paralogs during autophagosome maturation. Autophagy. 2013;9(6):881–93. pmid:23508006.
View Article
PubMed/NCBI
Google Scholar

[62] View Article

[63] PubMed/NCBI

[64] Google Scholar

[ref17] 17. Felekkis K, Touvana E, Stefanou C, Deltas C. microRNAs: a newly described class of encoded molecules that play a role in health and disease. Hippokratia. 2010;14(4):236–40. Epub 2011/02/12. pmid:21311629.
View Article
PubMed/NCBI
Google Scholar

[66] View Article

[67] PubMed/NCBI

[68] Google Scholar

[ref18] 18. Ha TY. MicroRNAs in Human Diseases: From Cancer to Cardiovascular Disease. Immune Netw. 2011;11(3):135–54. pmid:21860607.
View Article
PubMed/NCBI
Google Scholar

[70] View Article

[71] PubMed/NCBI

[72] Google Scholar

[ref19] 19. Chen CZ, Schaffert S, Fragoso R, Loh C. Regulation of immune responses and tolerance: the microRNA perspective. Immunol Rev. 2013;253(1):112–28. pmid:23550642.
View Article
PubMed/NCBI
Google Scholar

[74] View Article

[75] PubMed/NCBI

[76] Google Scholar

[ref20] 20. Chatterjee A, Chattopadhyay D, Chakrabarti G. miR-17-5p downregulation contributes to paclitaxel resistance of lung cancer cells through altering beclin1 expression. PLoS One. 2014;9(4):e95716. Epub 2014/04/24. pmid:24755562.
View Article
PubMed/NCBI
Google Scholar

[78] View Article

[79] PubMed/NCBI

[80] Google Scholar

[ref21] 21. Gwak HS, Kim TH, Jo GH, Kim YJ, Kwak HJ, Kim JH, et al. Silencing of microRNA-21 confers radio-sensitivity through inhibition of the PI3K/AKT pathway and enhancing autophagy in malignant glioma cell lines. PLoS One. 2012;7(10):e47449. Epub 2012/10/19. pmid:23077620.
View Article
PubMed/NCBI
Google Scholar

[82] View Article

[83] PubMed/NCBI

[84] Google Scholar

[ref22] 22. Tekirdag KA, Korkmaz G, Ozturk DG, Agami R, Gozuacik D. MIR181A regulates starvation- and rapamycin-induced autophagy through targeting of ATG5. Autophagy. 2013;9(3):374–85. Epub 2013/01/17. pmid:23322078.
View Article
PubMed/NCBI
Google Scholar

[86] View Article

[87] PubMed/NCBI

[88] Google Scholar

[ref23] 23. Wang J, Yang K, Zhou L, Minhaowu , Wu Y, Zhu M, et al. MicroRNA-155 promotes autophagy to eliminate intracellular mycobacteria by targeting Rheb. PLoS Pathog. 2013;9(10):e1003697. pmid:24130493.
View Article
PubMed/NCBI
Google Scholar

[90] View Article

[91] PubMed/NCBI

[92] Google Scholar

[ref24] 24. Singh Y, Kaul V, Mehra A, Chatterjee S, Tousif S, Dwivedi VP, et al. Mycobacterium tuberculosis controls microRNA-99b (miR-99b) expression in infected murine dendritic cells to modulate host immunity. J Biol Chem. 2013;288(7):5056–61. pmid:23233675.
View Article
PubMed/NCBI
Google Scholar

[94] View Article

[95] PubMed/NCBI

[96] Google Scholar

[ref25] 25. Song L, Su M, Wang S, Zou Y, Wang X, Wang Y, et al. MiR-451 is decreased in hypertrophic cardiomyopathy and regulates autophagy by targeting TSC1. J Cell Mol Med. 2014;18(11):2266–74. Epub 2014/09/12. pmid:25209900.
View Article
PubMed/NCBI
Google Scholar

[98] View Article

[99] PubMed/NCBI

[100] Google Scholar

[ref26] 26. Lv Y, Guo S, Li XG, Chi JY, Qu YQ, Zhong HL. Sputum and serum microRNA-144 levels in patients with tuberculosis before and after treatment. Int J Infect Dis. 2016;43:68–73. pmid:26724775.
View Article
PubMed/NCBI
Google Scholar

[102] View Article

[103] PubMed/NCBI

[104] Google Scholar

[ref27] 27. Liu F, Wang J, Fu Q, Zhang X, Wang Y, Liu J, et al. VEGF-activated miR-144 regulates autophagic survival of prostate cancer cells against Cisplatin. Tumour Biol. 2015. pmid:26566625.
View Article
PubMed/NCBI
Google Scholar

[106] View Article

[107] PubMed/NCBI

[108] Google Scholar

[ref28] 28. Chen S, Li P, Li J, Wang Y, Du Y, Chen X, et al. MiR-144 inhibits proliferation and induces apoptosis and autophagy in lung cancer cells by targeting TIGAR. Cell Physiol Biochem. 2015;35(3):997–1007. Epub 2015/02/11. pmid:25660220.
View Article
PubMed/NCBI
Google Scholar

[110] View Article

[111] PubMed/NCBI

[112] Google Scholar

[ref29] 29. Garcia Pelayo MC, Uplekar S, Keniry A, Mendoza Lopez P, Garnier T, Nunez Garcia J, et al. A comprehensive survey of single nucleotide polymorphisms (SNPs) across Mycobacterium bovis strains and M. bovis BCG vaccine strains refines the genealogy and defines a minimal set of SNPs that separate virulent M. bovis strains and M. bovis BCG strains. Infect Immun. 2009;77(5):2230–8. pmid:19289514.
View Article
PubMed/NCBI
Google Scholar

[114] View Article

[115] PubMed/NCBI

[116] Google Scholar

[ref30] 30. Guo L, Zhao J, Qu Y, Yin R, Gao Q, Ding S, et al. microRNA-20a Inhibits Autophagic Process by Targeting ATG7 and ATG16L1 and Favors Mycobacterial Survival in Macrophage Cells. Frontiers in cellular and infection microbiology. 2016;6:134. pmid:27803889.
View Article
PubMed/NCBI
Google Scholar

[118] View Article

[119] PubMed/NCBI

[120] Google Scholar

[ref31] 31. Frankel LB, Wen J, Lees M, Hoyer-Hansen M, Farkas T, Krogh A, et al. microRNA-101 is a potent inhibitor of autophagy. EMBO J. 2011;30(22):4628–41. pmid:21915098.
View Article
PubMed/NCBI
Google Scholar

[122] View Article

[123] PubMed/NCBI

[124] Google Scholar

[ref32] 32. Kim JK, Yuk JM, Kim SY, Kim TS, Jin HS, Yang CS, et al. MicroRNA-125a Inhibits Autophagy Activation and Antimicrobial Responses during Mycobacterial Infection. J Immunol. 2015;194(11):5355–65. pmid:25917095.
View Article
PubMed/NCBI
Google Scholar

[126] View Article

[127] PubMed/NCBI

[128] Google Scholar

[ref33] 33. Liu HY. Down-regulation of miR-144 after Mycobacterium tuberculosis infection promotes inflammatory factor secretion from macrophages through the Tpl2/ERK pathway. Cell Mol Biol (Noisy-le-grand). 2016;62(2):87–93. pmid:26950457.
View Article
PubMed/NCBI
Google Scholar

[130] View Article

[131] PubMed/NCBI

[132] Google Scholar

[ref34] 34. Rosenberger CM, Podyminogin RL, Diercks AH, Treuting PM, Peschon JJ, Rodriguez D, et al. miR-144 attenuates the host response to influenza virus by targeting the TRAF6-IRF7 signaling axis. PLoS Pathog. 2017;13(4):e1006305. pmid:28380049.
View Article
PubMed/NCBI
Google Scholar

[134] View Article

[135] PubMed/NCBI

[136] Google Scholar

[ref35] 35. Gutierrez MG, Master SS, Singh SB, Taylor GA, Colombo MI, Deretic V. Autophagy is a defense mechanism inhibiting BCG and Mycobacterium tuberculosis survival in infected macrophages. Cell. 2004;119(6):753–66. pmid:15607973.
View Article
PubMed/NCBI
Google Scholar

[138] View Article

[139] PubMed/NCBI

[140] Google Scholar

[ref36] 36. Kanayama M, Shinohara ML. Roles of Autophagy and Autophagy-Related Proteins in Antifungal Immunity. Front Immunol. 2016;7:47. pmid:26925060.
View Article
PubMed/NCBI
Google Scholar

[142] View Article

[143] PubMed/NCBI

[144] Google Scholar

[ref37] 37. Bjorkoy G, Lamark T, Pankiv S, Overvatn A, Brech A, Johansen T. Monitoring autophagic degradation of p62/SQSTM1. Methods Enzymol. 2009;452:181–97. Epub 2009/02/10. pmid:19200883.
View Article
PubMed/NCBI
Google Scholar

[146] View Article

[147] PubMed/NCBI

[148] Google Scholar

[ref38] 38. Frankel LB, Lund AH. MicroRNA regulation of autophagy. Carcinogenesis. 2012;33(11):2018–25. pmid:22902544.
View Article
PubMed/NCBI
Google Scholar

[150] View Article

[151] PubMed/NCBI

[152] Google Scholar

[ref39] 39. Hu YW, Hu YR, Zhao JY, Li SF, Ma X, Wu SG, et al. An agomir of miR-144-3p accelerates plaque formation through impairing reverse cholesterol transport and promoting pro-inflammatory cytokine production. PLoS One. 2014;9(4):e94997. pmid:24733347.
View Article
PubMed/NCBI
Google Scholar

[154] View Article

[155] PubMed/NCBI

[156] Google Scholar

[ref40] 40. Zhang SY, Lu ZM, Lin YF, Chen LS, Luo XN, Song XH, et al. miR-144-3p, a tumor suppressive microRNA targeting ETS-1 in laryngeal squamous cell carcinoma. Oncotarget. 2016;7(10):11637–50. pmid:26826553.
View Article
PubMed/NCBI
Google Scholar

[158] View Article

[159] PubMed/NCBI

[160] Google Scholar

[ref41] 41. Huang C, Geng J, Wei X, Zhang R, Jiang S. MiR-144-3p regulates osteogenic differentiation and proliferation of murine mesenchymal stem cells by specifically targeting Smad4. FEBS Lett. 2016;590(6):795–807. pmid:26918315.
View Article
PubMed/NCBI
Google Scholar

[162] View Article

[163] PubMed/NCBI

[164] Google Scholar

[ref42] 42. Li K, Zhang J, Ji C, Wang L. MiR-144-3p and Its Target Gene beta-Amyloid Precursor Protein Regulate 1-Methyl-4-Phenyl-1,2–3,6-Tetrahydropyridine-Induced Mitochondrial Dysfunction. Molecules and cells. 2016. pmid:27329039.
View Article
PubMed/NCBI
Google Scholar

[166] View Article

[167] PubMed/NCBI

[168] Google Scholar

[ref43] 43. Levine B, Deretic V. Unveiling the roles of autophagy in innate and adaptive immunity. Nat Rev Immunol. 2007;7(10):767–77. Epub 2007/09/04. pmid:17767194.
View Article
PubMed/NCBI
Google Scholar

[170] View Article

[171] PubMed/NCBI

[172] Google Scholar

[ref44] 44. Ohsumi Y, Mizushima N. Two ubiquitin-like conjugation systems essential for autophagy. Semin Cell Dev Biol. 2004;15(2):231–6. Epub 2004/06/24. pmid:15209383.
View Article
PubMed/NCBI
Google Scholar

[174] View Article

[175] PubMed/NCBI

[176] Google Scholar

[ref45] 45. Ichimura Y, Kirisako T, Takao T, Satomi Y, Shimonishi Y, Ishihara N, et al. A ubiquitin-like system mediates protein lipidation. Nature. 2000;408(6811):488–92. pmid:11100732.
View Article
PubMed/NCBI
Google Scholar

[178] View Article

[179] PubMed/NCBI

[180] Google Scholar

[ref46] 46. Marino G, Uria JA, Puente XS, Quesada V, Bordallo J, Lopez-Otin C. Human autophagins, a family of cysteine proteinases potentially implicated in cell degradation by autophagy. J Biol Chem. 2003;278(6):3671–8. pmid:12446702.
View Article
PubMed/NCBI
Google Scholar

[182] View Article

[183] PubMed/NCBI

[184] Google Scholar

[ref47] 47. Tanida I, Ueno T, Kominami E. Human light chain 3/MAP1LC3B is cleaved at its carboxyl-terminal Met121 to expose Gly120 for lipidation and targeting to autophagosomal membranes. J Biol Chem. 2004;279(46):47704–10. Epub 2004/09/10. pmid:15355958.
View Article
PubMed/NCBI
Google Scholar

[186] View Article

[187] PubMed/NCBI

[188] Google Scholar

[ref48] 48. Scherz-Shouval R, Shvets E, Fass E, Shorer H, Gil L, Elazar Z. Reactive oxygen species are essential for autophagy and specifically regulate the activity of Atg4. EMBO J. 2007;26(7):1749–60. Epub 2007/03/10. pmid:17347651.
View Article
PubMed/NCBI
Google Scholar

[190] View Article

[191] PubMed/NCBI

[192] Google Scholar

[ref49] 49. Gozuacik D, Bialik S, Raveh T, Mitou G, Shohat G, Sabanay H, et al. DAP-kinase is a mediator of endoplasmic reticulum stress-induced caspase activation and autophagic cell death. Cell Death Differ. 2008;15(12):1875–86. Epub 2008/09/23. pmid:18806755.
View Article
PubMed/NCBI
Google Scholar

[194] View Article

[195] PubMed/NCBI

[196] Google Scholar

[ref50] 50. Rohde K, Yates RM, Purdy GE, Russell DG. Mycobacterium tuberculosis and the environment within the phagosome. Immunol Rev. 2007;219:37–54. pmid:17850480.
View Article
PubMed/NCBI
Google Scholar

[198] View Article

[199] PubMed/NCBI

[200] Google Scholar

[ref51] 51. Jo EK, Yuk JM, Shin DM, Sasakawa C. Roles of autophagy in elimination of intracellular bacterial pathogens. Front Immunol. 2013;4:97. pmid:23653625.
View Article
PubMed/NCBI
Google Scholar

[202] View Article

[203] PubMed/NCBI

[204] Google Scholar

Figures

Abstract

Introduction

Materials and methods

Cells and mycobacterial culture

Quantitative real-time PCR (qRT-PCR)

Transient transfection

Target prediction and dual-luciferase reporter assay

Immunoblotting analysis

Immunocyto-fluorescent staining

Fluorescent dye Lyso tracker RED labeled acid compartments

Transmission electron microscopy

Colony-Forming Unit assay

Statistical analysis

Results

MiR-144-3p is significantly increased in RAW264.7 after BCG infection

MiR-144-3p suppresses ATG4a by interacting with its 3'UTR

MiR-144-3p inhibits autophagy in macrophages

MiR-144-3p inhibits autophagosome formation

MiR-144-3p enhances intracellular BCG survival in macrophages

Discussion

Supporting information

S1 Table. Primers used in this study.

S1 Fig. miRNA expression profile in dendritic cell (DC) infected with BCG.

S1 Text. Supplemental materials and methods.

Acknowledgments

Author Contributions

References