Translocational attenuation mediated by the PERK-SRP14 axis is a protective mechanism of unfolded protein response.

The unfolded protein response (UPR) relieves endoplasmic reticulum (ER) stress through multiple strategies, including reducing protein synthesis, increasing protein folding capabilities, and enhancing misfolded protein degradation. After a multi-omics analysis, we find that signal recognition particle 14 (SRP14), an essential component of the SRP, is markedly reduced in cells undergoing ER stress. Further experiments indicate that SRP14 reduction requires PRKR-like ER kinase (PERK)-mediated eukaryotic translation initiation factor 2α (eIF2α) phosphorylation but is independent of ATF4 or ATF3 transcription factors. The decrease of SRP14 correlates with reduced translocation of fusion proteins and endogenous cathepsin D. Enforced expression of an SRP14 variant with elongation arrest capability prevents the reduced translocation of cathepsin D in stressed cells, whereas an SRP14 mutant without the activity does not. Finally, overexpression of SRP14 augments the UPR and aggravates ER-stress-induced cell death. These data suggest that translocational attenuation mediated by the PERK-SRP14 axis is a protective measure for the UPR to mitigate ER stress.

Mitochondrial GSNOR Alleviates Cardiac Dysfunction via ANT1 Denitrosylation.

BACKGROUND: The cardiac-protective role of GSNOR (S-nitrosoglutathione reductase) in the cytoplasm, as a denitrosylase enzyme of S-nitrosylation, has been reported in cardiac remodeling, but whether GSNOR is localized in other organelles and exerts novel effects remains unknown. We aimed to elucidate the effects of mitochondrial GSNOR, a novel subcellular localization of GSNOR, on cardiac remodeling and heart failure (HF). METHODS: GSNOR subcellular localization was observed by cellular fractionation assay, immunofluorescent staining, and colloidal gold particle staining. Overexpression of GSNOR in mitochondria was achieved by mitochondria-targeting sequence-directed adeno-associated virus 9. Cardiac-specific knockout of GSNOR mice was used to examine the role of GSNOR in HF. S-nitrosylation sites of ANT1 (adenine nucleotide translocase 1) were identified using biotin-switch and liquid chromatography-tandem mass spectrometry. RESULTS: GSNOR expression was suppressed in cardiac tissues of patients with HF. Consistently, cardiac-specific knockout mice showed aggravated pathological remodeling induced by transverse aortic constriction. We found that GSNOR is also localized in mitochondria. In the angiotensin II-induced hypertrophic cardiomyocytes, mitochondrial GSNOR levels significantly decreased along with mitochondrial functional impairment. Restoration of mitochondrial GSNOR levels in cardiac-specific knockout mice significantly improved mitochondrial function and cardiac performance in transverse aortic constriction-induced HF mice. Mechanistically, we identified ANT1 as a direct target of GSNOR. A decrease in mitochondrial GSNOR under HF leads to an elevation of S-nitrosylation ANT1 at cysteine 160 (C160). In accordance with these findings, overexpression of either mitochondrial GSNOR or ANT1 C160A, non-nitrosylated mutant, significantly improved mitochondrial function, maintained the mitochondrial membrane potential, and upregulated mitophagy. CONCLUSIONS: We identified a novel species of GSNOR localized in mitochondria and found mitochondrial GSNOR plays an essential role in maintaining mitochondrial homeostasis through ANT1 denitrosylation, which provides a potential novel therapeutic target for HF.

ATG9A protects the plasma membrane from programmed and incidental permeabilization.

The integral membrane protein ATG9A plays a key role in autophagy. It displays a broad intracellular distribution and is present in numerous compartments, including the plasma membrane (PM). The reasons for the distribution of ATG9A to the PM and its role at the PM are not understood. Here, we show that ATG9A organizes, in concert with IQGAP1, components of the ESCRT system and uncover cooperation between ATG9A, IQGAP1 and ESCRTs in protection from PM damage. ESCRTs and ATG9A phenocopied each other in protection against PM injury. ATG9A knockouts sensitized the PM to permeabilization by a broad spectrum of microbial and endogenous agents, including gasdermin, MLKL and the MLKL-like action of coronavirus ORF3a. Thus, ATG9A engages IQGAP1 and the ESCRT system to maintain PM integrity.

MERIT, a cellular system coordinating lysosomal repair, removal and replacement.

Membrane integrity is essential for cellular survival and function. The spectrum of mechanisms protecting cellular and intracellular membranes is not fully known. Our recent work has uncovered a cellular system termed MERIT for lysosomal membrane repair, removal and replacement. Specifically, lysosomal membrane damage induces, in succession, ESCRT-dependent membrane repair, macroautophagy/autophagy-dominant removal of damaged lysosomes, and initiation of lysosomal biogenesis via transcriptional programs. The MERIT system is governed by galectins, a family of cytosolically synthesized lectins recognizing ß-galactoside glycans. We found in this study that LGALS3 (galectin 3) detects membrane damage by detecting exposed lumenal glycosyl groups, recruits and organizes ESCRT components PDCD6IP/ALIX, CHMP4A, and CHMPB at damaged sites on the lysosomes, and facilitates ESCRT-driven repair of lysosomal membrane. At later stages, LGALS3 cooperates with TRIM16, an autophagy receptor-regulator, to engage autophagy machinery in removal of excessively damaged lysosomes. In the absence of LGALS3, repair and autophagy are less efficient, whereas TFEB nuclear translocation increases to compensate lysosomal deficiency via de novo lysosomal biogenesis. The MERIT system protects endomembrane integrity against a broad spectrum of agents damaging the endolysosomal network including lysosomotropic drugs, Mycobacterium tuberculosis, or neurotoxic MAPT/tau. ABBREVIATIONS: AMPK: AMP-activated protein kinase; APEX2: engineered ascorbate peroxidase 2; ATG13: autophagy related 13; ATG16L1: autophagy related 16 like 1; BMMs: bone marrow-derived macrophages; ESCRT: endosomal sorting complexes required for transport; GPN: glycyl-L-phenylalanine 2-naphthylamide; LLOMe: L-leucyl-L-leucine methyl ester; MAP1LC3/LC3: microtubule associated protein 1 light chain 3; MERIT: membrane repair, removal and replacement; MTOR: mechanistic target of rapamycin kinase; TFEB: transcription factor EB; TFRC: transferrin receptor; TRIM16: tripartite motif-containing 16.

AMPK is activated during lysosomal damage via a galectin-ubiquitin signal transduction system.

Lysosomal damage activates AMPK, a regulator of macroautophagy/autophagy and metabolism, and elicits a strong ubiquitination response. Here we show that the cytosolic lectin LGALS9 detects lysosomal membrane breach by binding to lumenal glycoepitopes, and directs both the ubiquitination response and AMPK activation. Proteomic analyses have revealed increased LGALS9 association with lysosomes, and concomitant changes in LGALS9 interactions with its newly identified partners that control ubiquitination-deubiquitination processes. An LGALS9-inetractor, deubiquitinase USP9X, dissociates from damaged lysosomes upon recognition of lumenal glycans by LGALS9. USP9X's departure from lysosomes promotes K63 ubiquitination and stimulation of MAP3K7/TAK1, an upstream kinase and activator of AMPK hitherto orphaned for a precise physiological function. Ubiquitin-activated MAP3K7/TAK1 controls AMPK specifically during lysosomal injury, caused by a spectrum of membrane-damaging or -permeabilizing agents, including silica crystals, the intracellular pathogen Mycobacterium tuberculosis, TNFSF10/TRAIL signaling, and the anti-diabetes drugs metformin. The LGALS9-ubiquitin system activating AMPK represents a novel signal transduction system contributing to various physiological outputs that are under the control of AMPK, including autophagy, MTOR, lysosomal maintenance and biogenesis, immunity, defense against microbes, and metabolic reprograming. ABBREVIATIONS: AMPK: AMP-activated protein kinase; APEX2: engineered ascorbate peroxidase 2; ATG13: autophagy related 13; ATG16L1: autophagy related 16 like 1; BMMs: bone marrow-derived macrophages; CAMKK2: calcium/calmodulin dependent protein kinase kinase 2; DUB: deubiquitinase; GPN: glycyl-L-phenylalanine 2-naphthylamide; LLOMe: L-leucyl-L-leucine methyl ester; MAP1LC3/LC3: microtubule associated protein 1 light chain 3; MAP3K7/TAK1: mitogen-activated protein kinase kinase kinase 7; MERIT: membrane repair, removal and replacement; MTOR: mechanistic target of rapamycin kinase; STK11/LKB1: serine/threonine kinase 11; TNFSF10/TRAIL: TNF superfamily member 10; USP9X: ubiquitin specific peptidase 9 X-linked.

Predicting postmortem interval based on microbial community sequences and machine learning algorithms.

Microbes play an essential role in the decomposition process but were poorly understood in their succession and behaviour. Previous researches have shown that microbes show predictable behaviour that starts at death and changes during the decomposition process. Research of such behaviour enhances the understanding of decomposition and benefits estimating the postmortem interval (PMI) in forensic investigations, which is critical but faces multiple challenges. In this study, we combined microbial community characterization, microbiome sequencing from different organs (i.e. brain, heart and cecum) and machine learning algorithms [random forest (RF), support vector machine (SVM) and artificial neural network (ANN)] to investigate microbial succession pattern during corpse decomposition and estimate PMI in a mouse corpse system. Microbial communities exhibited significant differences between the death point and advanced decay stages. Enterococcus faecalis, Anaerosalibacter bizertensis, Lactobacillus reuteri, and so forth were identified as the most informative species in the decomposition process. Furthermore, the ANN model combined with the postmortem microbial data set from the cecum, which was the best combination among all candidates, yielded a mean absolute error of 1.5 ± 0.8 h within 24-h decomposition and 14.5 ± 4.4 h within 15-day decomposition. This integrated model can serve as a reliable and accurate technology in PMI estimation.

AMPK, a Regulator of Metabolism and Autophagy, Is Activated by Lysosomal Damage via a Novel Galectin-Directed Ubiquitin Signal Transduction System.

AMPK is a central regulator of metabolism and autophagy. Here we show how lysosomal damage activates AMPK. This occurs via a hitherto unrecognized signal transduction system whereby cytoplasmic sentinel lectins detect membrane damage leading to ubiquitination responses. Absence of Galectin 9 (Gal9) or loss of its capacity to recognize lumenal glycans exposed during lysosomal membrane damage abrogate such ubiquitination responses. Proteomic analyses with APEX2-Gal9 have revealed global changes within the Gal9 interactome during lysosomal damage. Gal9 association with lysosomal glycoproteins increases whereas interactions with a newly identified Gal9 partner, deubiquitinase USP9X, diminishes upon lysosomal injury. In response to damage, Gal9 displaces USP9X from complexes with TAK1 and promotes K63 ubiquitination of TAK1 thus activating AMPK on damaged lysosomes. This triggers autophagy and contributes to autophagic control of membrane-damaging microbe Mycobacterium tuberculosis. Thus, galectin and ubiquitin systems converge to activate AMPK and autophagy during endomembrane homeostasis.

Galectin-3 Coordinates a Cellular System for Lysosomal Repair and Removal.

Endomembrane damage elicits homeostatic responses including ESCRT-dependent membrane repair and autophagic removal of damaged organelles. Previous studies have suggested that these systems may act separately. Here, we show that galectin-3 (Gal3), a ß-galactoside-binding cytosolic lectin, unifies and coordinates ESCRT and autophagy responses to lysosomal damage. Gal3 and its capacity to recognize damage-exposed glycans were required for efficient recruitment of the ESCRT component ALIX during lysosomal damage. Both Gal3 and ALIX were required for restoration of lysosomal function. Gal3 promoted interactions between ALIX and the downstream ESCRT-III effector CHMP4 during lysosomal repair. At later time points following lysosomal injury, Gal3 controlled autophagic responses. When this failed, as in Gal3 knockout cells, lysosomal replacement program took over through TFEB. Manifestations of this staged response, which includes membrane repair, removal, and replacement, were detected in model systems of lysosomal damage inflicted by proteopathic tau and during phagosome parasitism by Mycobacterium tuberculosis.

Mammalian Atg8 proteins regulate lysosome and autolysosome biogenesis through SNAREs.

Mammalian homologs of yeast Atg8 protein (mAtg8s) are important in autophagy, but their exact mode of action remains ill-defined. Syntaxin 17 (Stx17), a SNARE with major roles in autophagy, was recently shown to bind mAtg8s. Here, we identified LC3-interacting regions (LIRs) in several SNAREs that broaden the landscape of the mAtg8-SNARE interactions. We found that Syntaxin 16 (Stx16) and its cognate SNARE partners all have LIR motifs and bind mAtg8s. Knockout of Stx16 caused defects in lysosome biogenesis, whereas a Stx16 and Stx17 double knockout completely blocked autophagic flux and decreased mitophagy, pexophagy, xenophagy, and ribophagy. Mechanistic analyses revealed that mAtg8s and Stx16 control several properties of lysosomal compartments including their function as platforms for active mTOR. These findings reveal a broad direct interaction of mAtg8s with SNAREs with impact on membrane remodeling in eukaryotic cells and expand the roles of mAtg8s to lysosome biogenesis.

A novel evolutionary model for constructing gene coexpression networks with comprehensive features.

BACKGROUND: Uncovering the evolutionary principles of gene coexpression network is important for our understanding of the network topological property of new genes. However, most existing evolutionary models only considered the evolution of duplication genes and only based on the degree of genes, ignoring the other key topological properties. The evolutionary mechanism by which how are new genes integrated into the ancestral networks are not yet to be comprehensively characterized. Herein, based on the human ribonucleic acid-sequencing (RNA-seq) data, we develop a new evolutionary model of gene coexpression network which considers the evolutionary process of both duplication genes and de novo genes. RESULTS: Based on the human RNA-seq data, we construct a gene coexpression network consisting of 8061 genes and 638624 links. We find that there are 1394 duplication genes and 126 de novo genes in the network. Then based on human gene age data, we reproduce the evolutionary process of this gene coexpression network and develop a new evolutionary model. We find that the generation rates of duplication genes and de novo genes are approximately 3.58/Myr (Myr=Million year) and 0.31/Myr, respectively. Based on the average degree and coreness of parent genes, we find that the gene duplication is a random process. Eventually duplication genes only inherit 12.89% connections from their parent genes and the retained connections have a smaller edge betweenness. Moreover, we find that both duplication genes and de novo genes prefer to develop new interactions with genes which have a large degree and a large coreness. Our proposed model can generate an evolutionary network when the number of newly added genes or the length of evolutionary time is known. CONCLUSIONS: Gene duplication and de novo genes are two dominant evolutionary forces in shaping the coexpression network. Both duplication genes and de novo genes develop new interactions through a "rich-gets-richer" mechanism in terms of degree and coreness. This mechanism leads to the scale-free property and hierarchical architecture of biomolecular network. The proposed model is able to construct a gene coexpression network with comprehensive biological characteristics.

Phosphorylation of Syntaxin 17 by TBK1 Controls Autophagy Initiation.

Syntaxin 17 (Stx17) has been implicated in autophagosome-lysosome fusion. Here, we report that Stx17 functions in assembly of protein complexes during autophagy initiation. Stx17 is phosphorylated by TBK1 whereby phospho-Stx17 controls the formation of the ATG13+FIP200+ mammalian pre-autophagosomal structure (mPAS) in response to induction of autophagy. TBK1 phosphorylates Stx17 at S202. During autophagy induction, Stx17pS202 transfers from the Golgi, where its steady-state pools localize, to the ATG13+FIP200+ mPAS. Stx17pS202 was in complexes with ATG13 and FIP200, whereas its non-phosphorylatable mutant Stx17S202A was not. Stx17 or TBK1 knockouts blocked ATG13 and FIP200 puncta formation. Stx17 or TBK1 knockouts reduced the formation of ATG13 protein complexes with FIP200 and ULK1. Endogenous Stx17pS202 colocalized with LC3B following induction of autophagy. Stx17 knockout diminished LC3 response and reduced sequestration of the prototypical bulk autophagy cargo lactate dehydrogenase. We conclude that Stx17 is a TBK1 substrate and that together they orchestrate assembly of mPAS.

Topological evolution of coexpression networks by new gene integration maintains the hierarchical and modular structures in human ancestors.

We analyze the global structure and evolution of human gene coexpression networks driven by new gene integration. When the Pearson correlation coefficient is greater than or equal to 0.5, we find that the coexpression network consists of 334 small components and one "giant" connected subnet comprising of 6317 interacting genes. This network shows the properties of power-law degree distribution and small-world. The average clustering coefficient of younger genes is larger than that of the elderly genes (0.6685 vs. 0.5762). Particularly, we find that the younger genes with a larger degree also show a property of hierarchical architecture. The younger genes play an important role in the overall pivotability of the network and this network contains few redundant duplicate genes. Moreover, we find that gene duplication and orphan genes are two dominant evolutionary forces in shaping this network. Both the duplicate genes and orphan genes develop new links through a "rich-gets-richer" mechanism. With the gradual integration of new genes into the ancestral network, most of the topological structure features of the network would gradually increase. However, the exponent of degree distribution and modularity coefficient of the whole network do not change significantly, which implies that the evolution of coexpression networks maintains the hierarchical and modular structures in human ancestors.

Galectins control MTOR and AMPK in response to lysosomal damage to induce autophagy.

The Ser/Thr protein kinase MTOR (mechanistic target of rapamycin kinase) regulates cellular metabolism and controls macroautophagy/autophagy. Autophagy has both metabolic and quality control functions, including recycling nutrients at times of starvation and removing dysfunctional intracellular organelles. Lysosomal damage is one of the strongest inducers of autophagy, and yet mechanisms of its activation in response to lysosomal membrane damage are not fully understood. Our recent study has uncovered a new signal transduction system based on cytosolic galectins that elicits autophagy by controlling master regulators of metabolism and autophagy, MTOR and AMPK, in response to lysosomal damage. Thus, intracellular galectins are not, as previously thought, passive tags recognizing damage to guide selective autophagy receptors, but control the activation state of AMPK and MTOR in response to endomembrane damage. Abbreviations: MTOR: mechanistic target of rapamycin kinase; AMPK: AMP-activated protein kinase / Protein Kinase AMP-Activated; SLC38A9: Solute Carrier Family 38 Member 9; APEX2: engineered ascorbate peroxidase 2; RRAGA/B: Ras Related GTP Binding A or B; LAMTOR1: Late Endosomal/Lysosomal Adaptor, MAPK and MTOR Activator 1; LGALS8: Lectin, Galactoside-Binding, Soluble, 8 / Galectin 8; LGALS9: Lectin, Galactoside-Binding, Soluble, 9 / Galectin 9; TAK1: TGF-Beta Activated Kinase 1 / Mitogen-Activated Protein Kinase Kinase Kinase 7 (MAP3K7); STK11/LKB1: Serine/Threonine Kinase 11 / Liver Kinase B1; ULK1: Unc-51 Like Autophagy Activating Kinase 1.

Ambroxol Induces Autophagy and Potentiates Rifampin Antimycobacterial Activity.

Host-directed therapy in tuberculosis is a potential adjunct to antibiotic chemotherapy directed at Mycobacterium tuberculosis Ambroxol, a lead compound, emerged from a screen for autophagy-inducing drugs. At clinically relevant doses, ambroxol induced autophagy in vitro and in vivo and promoted mycobacterial killing in macrophages. Ambroxol also potentiated rifampin activity in a murine tuberculosis model.

Galectins Control mTOR in Response to Endomembrane Damage.

The Ser/Thr protein kinase mTOR controls metabolic pathways, including the catabolic process of autophagy. Autophagy plays additional, catabolism-independent roles in homeostasis of cytoplasmic endomembranes and whole organelles. How signals from endomembrane damage are transmitted to mTOR to orchestrate autophagic responses is not known. Here we show that mTOR is inhibited by lysosomal damage. Lysosomal damage, recognized by galectins, leads to association of galectin-8 (Gal8) with the mTOR apparatus on the lysosome. Gal8 inhibits mTOR activity through its Ragulator-Rag signaling machinery, whereas galectin-9 activates AMPK in response to lysosomal injury. Both systems converge upon downstream effectors including autophagy and defense against Mycobacterium tuberculosis. Thus, a novel galectin-based signal-transduction system, termed here GALTOR, intersects with the known regulators of mTOR on the lysosome and controls them in response to lysosomal damage. VIDEO ABSTRACT.

Role of autophagy in IL-1ß export and release from cells.

The autophagy pathway known also as macroautophagy (herein referred to as autophagy) is characterized by the formation of double-membrane organelles that capture cytosolic material. Based on pathway termination alternatives, autophagy has been divided into degradative and secretory. During degradative autophagy, autophagosomes typically fuse with lysosomes upon which the sequestered material is degraded. During secretory autophagy, instead of degradation the sequestered cargo is subjected to active secretion or passive release. In this review, we focus on the mechanisms of secretion/passive release of the potent pro-inflammatory cytokine IL-1ß, as a prototypical leaderless cytosolic protein cargo studied in the context of secretory autophagy.

Mechanism of Stx17 recruitment to autophagosomes via IRGM and mammalian Atg8 proteins.

Autophagy is a conserved eukaryotic process with metabolic, immune, and general homeostatic functions in mammalian cells. Mammalian autophagosomes fuse with lysosomes in a SNARE-driven process that includes syntaxin 17 (Stx17). How Stx17 translocates to autophagosomes is unknown. In this study, we show that the mechanism of Stx17 recruitment to autophagosomes in human cells entails the small guanosine triphosphatase IRGM. Stx17 directly interacts with IRGM, and efficient Stx17 recruitment to autophagosomes requires IRGM. Both IRGM and Stx17 directly interact with mammalian Atg8 proteins, thus being guided to autophagosomes. We also show that Stx17 is significant in defense against infectious agents and that Stx17-IRGM interaction is targeted by an HIV virulence factor Nef.

Cellular and molecular mechanism for secretory autophagy.

Macroautophagy/autophagy plays a role in unconventional secretion of leaderless cytosolic proteins. Whether and how secretory autophagy diverges from conventional degradative autophagy is unclear. We have shown that the prototypical secretory autophagy cargo IL1B/IL-1ß (interleukin 1 ß) is recognized by TRIM16, and that this first to be identified secretory autophagy receptor interacts with the R-SNARE SEC22B to jointly deliver cargo to the MAP1LC3B-II-positive sequestration membranes. Cargo secretion is unaffected by knockdowns of STX17, a SNARE catalyzing autophagosome-lysosome fusion as a prelude to cargo degradation. Instead, SEC22B in combination with plasma membrane syntaxins completes cargo secretion. Thus, secretory autophagy diverges from degradative autophagy by using specialized receptors and a dedicated SNARE machinery to bypass fusion with lysosomes.

Dedicated SNAREs and specialized TRIM cargo receptors mediate secretory autophagy.

Autophagy is a process delivering cytoplasmic components to lysosomes for degradation. Autophagy may, however, play a role in unconventional secretion of leaderless cytosolic proteins. How secretory autophagy diverges from degradative autophagy remains unclear. Here we show that in response to lysosomal damage, the prototypical cytosolic secretory autophagy cargo IL-1ß is recognized by specialized secretory autophagy cargo receptor TRIM16 and that this receptor interacts with the R-SNARE Sec22b to recruit cargo to the LC3-II+ sequestration membranes. Cargo secretion is unaffected by downregulation of syntaxin 17, a SNARE promoting autophagosome-lysosome fusion and cargo degradation. Instead, Sec22b in combination with plasma membrane syntaxin 3 and syntaxin 4 as well as SNAP-23 and SNAP-29 completes cargo secretion. Thus, secretory autophagy utilizes a specialized cytosolic cargo receptor and a dedicated SNARE system. Other unconventionally secreted cargo, such as ferritin, is secreted via the same pathway.