Active Interaction Mapping as a tool to elucidate hierarchical functions of biological processes

Increasingly, various ‘omics data are contributing significantly to our understanding of novel biological processes, but it has not been possible to iteratively elucidate hierarchical functions in complex phenomena. We describe a general systems biology approach called Active Interaction Mapping (AI-MAP), which elucidates the hierarchy of functions for any biological process. Existing and new ‘omics data sets can be iteratively added to create and improve hierarchical models which enhance our understanding of particular biological processes. The best datatypes to further improve an AI-MAP model are predicted computationally. We applied this approach to our understanding of general and selective autophagy, which are conserved in most eukaryotes, setting the stage for the broader application to other cellular processes of interest. In the particular application to autophagy-related processes, we uncovered and validated new autophagy and autophagy-related processes, expanded known autophagy processes with new components, integrated known non-autophagic processes with autophagy and predict other unexplored connections.     

Regulation of macroautophagy in Saccharomyces cerevisiae

Macroautophagy (hereafter autophagy) is a cellular degradation process, which in yeast is induced in response to nutrient deprivation. In this process, a double-membrane vesicle, an autophagosome, surrounds part of the cytoplasm and fuses with the vacuole to allow the breakdown and subsequent recycling of the cargo. In yeast, many autophagy-related (ATG) genes have been identified that are required for selective and/or nonselective autophagy. In all autophagy-related pathways, core Atg proteins are required for the formation of the autophagosome, which is one of the most unique aspects of autophagy and is unlike other vesicle transport events. In contrast to nonselective autophagy, the selective processes are induced in response to various specific physiological conditions such as alterations in the carbon source. In this review, we provide an overview of the common aspects concerning the mechanism of autophagy-related pathways, and highlight recent advances in our understanding of the machinery that controls autophagy induction in response to nutrient starvation conditions.     

Eating the endoplasmic reticulum: quality control by autophagy

Autophagy is connected to a surprising range of cellular processes, including the stress response, developmental remodeling, organelle homeostasis and disease pathophysiology. The inducible, predominant form of autophagy, macroautophagy, involves dynamic membrane rearrangements, culminating in the formation of a double-membrane cytosolic vesicle, an autophagosome, which sequesters cytoplasm and organelles. The signal transduction mechanisms that regulate autophagy are poorly understood and have focused on extracellular nutrient sensing. Similarly, little is known about the contribution of the endomembrane organelles to autophagy-related processes. Recent studies have provided interesting links between these topics, revealing that the secretory pathway provides membrane for autophagosome formation, and that autophagy has an important role in organelle homeostasis.     

Delineating the complex mechanistic interplay between NF-κβ driven mTOR depedent autophagy and monocyte to macrophage differentiation: A functional perspective

Autophagy is an extremely essential cellular process aimed to clear redundant and damaged materials, namely organelles, protein aggregates, invading pathogens, etc. through the formation of autophagosomes which are ultimately targeted to lysosomal degradation. In this study, we demonstrated that mTOR dependent classical autophagy is ubiquitously triggered in differentiating monocytes. Moreover, autophagy plays a decisive role in sustaining the process of monocyte to macrophage differentiation. We have delved deeper into understanding the underlying mechanistic complexities that trigger autophagy during differentiation. Intrigued by the significant difference between the protein profiles of monocytes and macrophages, we investigated to learn that autophagy directs monocyte differentiation via protein degradation. Further, we delineated the complex cross-talk between autophagy and cell-cycle arrest in differentiating monocytes. This study also inspects the contribution of adhesion on various steps of autophagy and its ultimate impact on monocyte differentiation. Our study reveals new mechanistic insights into the process of autophagy associated with monocyte differentiation and would undoubtedly help to understand the intricacies of the process better for the effective design of therapeutics as autophagy and autophagy-related processes have enormous importance in human patho-physiology.     

Unravelling the complexity of lncRNAs in autophagy to improve potential cancer therapy

Autophagy is well-known as an internal catabolic process that is evolutionarily conserved and performs the key biological function in maintaining cellular homeostasis. It is tightly controlled by several autophagy-related (ATG) proteins, which are closely associated with many types of human cancers. However, what has remained controversial is the janus roles of autophagy in cancer progression. Interestingly, the biological function of long non-coding RNAs (lncRNAs) in autophagy has been gradually understood in different types of human cancers. More recently, numerous studies have demonstrated that several lncRNAs may regulate some ATG proteins and autophagy-related signaling pathways to either activate or inhibit the autophagic process in cancer. Thus, in this review, we summarize the latest advance in the knowledge of the complicated relationships between lncRNAs and autophagy in cancer. Also, the in-depth dissection of the lncRNAs-autophagy-cancers axis involved in this review would shed new light on discovery of more potential cancer biomarkers and therapeutic targets in the future.     

Regulation of the autophagy protein LC3 by phosphorylation

Macroautophagy is a major catabolic pathway that impacts cell survival, differentiation, tumorigenesis, and neurodegeneration. Although bulk degradation sustains carbon sources during starvation, autophagy contributes to shrinkage of differentiated neuronal processes. Identification of autophagy-related genes has spurred rapid advances in understanding the recruitment of microtubule-associated protein 1 light chain 3 (LC3) in autophagy induction, although braking mechanisms remain less understood. Using mass spectrometry, we identified a direct protein kinase A (PKA) phosphorylation site on LC3 that regulates its participation in autophagy. Both metabolic (rapamycin) and pathological (MPP⁺) inducers of autophagy caused dephosphorylation of endogenous LC3. The pseudophosphorylated LC3 mutant showed reduced recruitment to autophagosomes, whereas the nonphosphorylatable mutant exhibited enhanced puncta formation. Finally, autophagy-dependent neurite shortening induced by expression of a Parkinson disease–associated G2019S mutation in leucine-rich repeat kinase 2 was inhibited by dibutyryl–cyclic adenosine monophosphate, cytoplasmic expression of the PKA catalytic subunit, or the LC3 phosphorylation mimic. These data demonstrate a role for phosphorylation in regulating LC3 activity.     

Autophagy-monitoring and autophagy-deficient mice

Discovery of yeast autophagy-related (ATG) genes and subsequent identification of their homologs in other organisms have enabled researchers to investigate physiological functions of macroautophagy/autophagy using genetic techniques. Specific identification of autophagy-related structures is important to evaluate autophagic activity, and specific ablation of autophagy-related genes is a critical means to determine the requirements of autophagy. Here, we review currently available mouse models, particularly focusing on autophagy (and mitophagy) indicator models and systemic autophagy-related gene-knockout mouse models.     

PpAtg30 tags peroxisomes for turnover by selective autophagy

Autophagy, an intrinsically nonselective process, can also target selective cargo for degradation. The mechanism of selective peroxisome turnover by autophagy-related processes (pexophagy), termed micropexophagy and macropexophagy, is unknown. We show how a Pichia pastoris protein, PpAtg30, mediates peroxisome selection during pexophagy. It is necessary for pexophagy, but not for other selective and nonselective autophagy-related processes. It localizes at the peroxisome membrane via interaction with peroxins, and during pexophagy it colocalizes transiently at the preautophagosomal structure (PAS) and interacts with the autophagy machinery. PpAtg30 is required for formation of pexophagy intermediates, such as the micropexophagy apparatus (MIPA) and the pexophagosome (Ppg). During pexophagy, PpAtg30 undergoes multiple phosphorylations, at least one of which is required for pexophagy. PpAtg30 overexpression stimulates pexophagy even under peroxisome-induction conditions, impairing peroxisome biogenesis. Therefore, PpAtg30 is a key player in the selection of peroxisomes as cargo and in their delivery to the autophagy machinery for pexophagy.     

Systematic prediction of autophagy-related proteins using Arabidopsis thaliana interactome data

Autophagy is a self-degradative process that is crucial for maintaining cellular homeostasis by removing damaged cytoplasmic components and recycling nutrients. Such an evolutionary conserved proteolysis process is regulated by the autophagy-related (Atg) proteins. The incomplete understanding of plant autophagy proteome and the importance of a proteome-wide understanding of the autophagy pathway prompted us to predict Atg proteins and regulators in Arabidopsis. Here, we developed a systems-level algorithm to identify autophagy-related modules (ARMs) based on protein subcellular localization, protein–protein interactions, and known Atg proteins. This generates a detailed landscape of the autophagic modules in Arabidopsis. We found that the newly identified genes in each ARM tend to be upregulated and coexpressed during the senescence stage of Arabidopsis. We also demonstrated that the Golgi apparatus ARM, ARM13, functions in the autophagy process by module clustering and functional analysis. To verify the in silico analysis, the Atg candidates in ARM13 that are functionally similar to the core Atg proteins were selected for experimental validation. Interestingly, two of the previously uncharacterized proteins identified from the ARM analysis, AGD1 and Sec14, exhibited bona fide association with the autophagy protein complex in plant cells, which provides evidence for a cross-talk between intracellular pathways and autophagy. Thus, the computational framework has facilitated the identification and characterization of plant-specific autophagy-related proteins and novel autophagy proteins/regulators in higher eukaryotes.     

NF-kappaB activation represses tumor necrosis factor-alpha-induced autophagy

Activation of NF-kappaB and autophagy are two processes involved in the regulation of cell death, but the possible cross-talk between these two signaling pathways is largely unknown. Here, we show that NF-kappaB activation mediates repression of autophagy in tumor necrosis factor-alpha (TNFalpha)-treated Ewing sarcoma cells. This repression is associated with an NF-kappaB-dependent activation of the autophagy inhibitor mTOR. In contrast, in cells lacking NF-kappaB activation, TNFalpha treatment up-regulates the expression of the autophagy-promoting protein Beclin 1 and subsequently induces the accumulation of autophagic vacuoles. Both of these responses are dependent on reactive oxygen species (ROS) production and can be mimicked in NF-kappaB-competent cells by the addition of H2O2. Small interfering RNA-mediated knockdown of beclin 1 and atg7 expression, two autophagy-related genes, reduced TNFalpha- and reactive oxygen species-induced apoptosis in cells lacking NF-kappaB activation and in NF-kappaB-competent cells, respectively. These findings demonstrate that autophagy may amplify apoptosis when associated with a death signaling pathway. They are also evidence that inhibition of autophagy is a novel mechanism of the antiapoptotic function of NF-kappaB activation. We suggest that stimulation of autophagy may be a potential way bypassing the resistance of cancer cells to anti-cancer agents that activate NF-kappaB.     

Autophagy in pulmonary hypertension: Emerging roles and therapeutic implications

Autophagy is an important mechanism for cellular self-digestion and basal homeostasis. This gene- and modulator-regulated pathway is conserved in cells. Recently, several studies have shown that autophagic dysfunction is associated with pulmonary hypertension (PH). However, the relationship between autophagy and PH remains controversial. In this review, we mainly introduce the effects of autophagy-related genes and some regulatory molecules on PH and the relationship between autophagy and PH under the conditions of hypoxia, monocrotaline injection, thromboembolic stress, oxidative stress, and other drugs and toxins. The effects of other autophagy-related drugs, such as chloroquine, 3-methyladenine, rapamycin, and other potential therapeutic drugs and targets, in PH are also described.     

The pancreatitis-induced vacuole membrane protein 1 triggers autophagy in mammalian cells

Autophagy is a degradation process of cytoplasmic cellular constituents, which serves as a survival mechanism in starving cells, and it is characterized by sequestration of bulk cytoplasm and organelles in double-membrane vesicles called autophagosomes. Autophagy has been linked to a variety of pathological processes such as neurodegenerative diseases and tumorigenesis, which highlights its biological and medical importance. We have previously characterized the vacuole membrane protein 1 (VMP1) gene, which is highly activated in acute pancreatitis, a disease associated with morphological changes resembling autophagy. Here we show that VMP1 expression triggers autophagy in mammalian cells. VMP1 expression induces the formation of ultrastructural features of autophagy and recruitment of the microtubule-associated protein 1 light-chain 3 (LC3), which is inhibited after treatment with the autophagy inhibitor 3-methiladenine. VMP1 is induced by starvation and rapamycin treatments. Its expression is necessary for autophagy, because VMP1 small interfering RNA inhibits autophagosome formation under both autophagic stimuli. VMP1 is a transmembrane protein that co-localizes with LC3, a marker of the autophagosomes. It interacts with Beclin 1, a mammalian autophagy initiator, through the VMP1-Atg domain, which is essential for autophagosome formation. VMP1 endogenous expression co-localizes with LC3 in pancreas tissue undergoing pancreatitis-induced autophagy. Finally, VMP1 stable expression targeted to pancreas acinar cell in transgenic mice induces autophagosome formation. Our results identify VMP1 as a novel autophagy-related membrane protein involved in the initial steps of the mammalian cell autophagic process.     

Screening and identification of autophagy-related biomarkers for oral squamous cell carcinoma (OSCC) via integrated bioinformatics analysis

Increasing evidences have showed that autophagy played a significant role in oral squamous cell carcinoma (OSCC). Purpose of our study was to explore the prognostic value of autophagy-related genes (ATGs) and screen autophagy-related biomarkers for OSCC. RNA-seq and clinical data were downloaded from The Cancer Genome Atlas (TCGA) database following extracting ATG expression profiles. Then, differentially expressed analysis was performed in R software and a risk score model according to ATGs was established. Moreover, comprehensive bioinformatics analyses were used to screen autophagy-related biomarkers which were later verified in OSCC tissues and cell lines. A total of 232 ATGs were extracted, and 37 genes were differentially expressed in OSCC. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis demonstrated that these genes were mainly located in autophagosome membrane and associated with autophagy. Furthermore, the risk score on basis of ATGs was identified as potential independent prognostic biomarker. Moreover, ATG12 and BID were identified as potential autophagy-related biomarkers of OSCC. This study successfully constructed a risk model, and the risk score could predict the prognosis of OSCC patients accurately. Moreover, ATG12 and BID were identified as two potential independent prognostic autophagy-related biomarkers and might provide new OSCC therapeutic targets.     

基于转录组测序探究ATP7B基因缺陷小鼠铜累积诱导肝细胞自噬的相关机制*

目的：分析ATP7B基因缺陷(Wilson's disease,WD)小鼠肝脏组织中自噬相关基因的表达和自噬相关蛋白的相互作用方式,探讨铜累积诱导肝内自噬活化的可能机制。方法：对4周龄和12周龄WD小鼠肝组织进行铜含量检测和转录组测序,对差异基因进行GO和KEGG富集分析,筛选自噬相关差异基因做qRT-PCR和Western blot验证,采用GeneMANIA数据库构建自噬相关差异蛋白的互作网络(PPI)并进行功能注释分析,抑制自噬相关蛋白的表达分析其对自噬的影响。结果：与野生型小鼠相比,WD小鼠肝铜含量显著升高,铜累积导致基因表达模式改变;基于GO数据库统计自噬相关差异基因数目,4周龄和12周龄分别有8个、51个,基于KEGG数据库统计,4周龄和12周龄分别有5个、19个;筛选Ulk1、Ddit4、Plk3等9个基因进行qRT-PCR,定量结果与测序结果表达趋势基本一致;其编码的蛋白质通过共表达、共定位等方式互相作用;Western blot结果显示铜累积导致Ulk1、Plk3、Park2蛋白表达显著增加和细胞自噬发生,抑制Ulk1、Plk3、Park2的蛋白质表达可显著下调细胞自噬水平。结论：WD不同阶段的铜累积可调节肝脏多个自噬相关基因的表达,通过其编码的自噬相关蛋白的互相作用共同诱导肝脏自噬活化以缓解肝损伤。     

植物病原真菌的自噬

作为真核生物中普遍存在的现象,自噬不但实现了对细胞内物质的降解和回收利用,而且与植物病原真菌早期侵染阶段的附着胞发育、膨压升高、菌丝体形成、完成侵染等一系列过程密切相关,并且发挥了重要的作用。本文归纳了植物病原真菌自噬的相关基因和自噬过程;总结了自噬对病原真菌生长发育、致病力的调控和影响;概括了病原真菌自噬所涉及的信号通路;阐明了自噬影响植物病原真菌侵染过程的主要分子机制。为今后以自噬相关基因或蛋白作为靶点来筛选抑制病原真菌侵染的新型药物提供新的策略和思路。     

Core signaling pathways of survival/death in autophagy-related cancer networks

Autophagy (macroautophagy), an evolutionarily conserved lysosomal degradation process, is implicated in a wide variety of pathological processes including cancer. Autophagy plays the Janus role in regulating several survival or death signaling pathways that may decide the fate of cancer cell. Accumulating evidence has revealed the core molecular machinery of autophagy in tumor initiation and progression; however, the intricate relationships between autophagy and cancer are still in its infancy. In this review, we summarize several key survival/death pathways such as mTOR subnetwork, Beclin 1 interactome, and p53 signaling that may play the crucial roles for the regulation of the autophagy-related cancer networks. Therefore, a better understanding of the relationships between autophagy and cancer may ultimately allow cancer biologists and clinicians to harness core autophagic pathways for the discovery of potential novel drug targets.