ArticleOncotarget2018
Systematic characterization of autophagy-related genes during the adipocyte differentiation using public-access data.
Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 14 citations in OpenAlex.
- Arsenic Toxicity on Metabolism and Autophagy in Adipose and Muscle Tissues.Antioxidants (Basel, Switzerland) · 2022Review
- The Emerging Roles of Autophagy in Human Diseases.Biomedicines · 2021Review
- Role of microRNA-129 in cancer and non-cancerous diseases (Review).Experimental and therapeutic medicine · 2021Review
- Article
- Arsenite exposure suppresses adipogenesis, mitochondrial biogenesis and thermogenesis via autophagy inhibition in brown adipose tissue.Scientific reports · 2019Article
- Review
- Identification of hub genes in chronically hypoxic myocardium using bioinformatics analysis.Molecular medicine reports · 2019Article
- miR-129-5p Inhibits Adipogenesis through Autophagy and May Be a Potential Biomarker for Obesity.International journal of endocrinology · 2019Article
- Autophagy in Adipocyte Browning: Emerging Drug Target for Intervention in Obesity.Frontiers in physiology · 2019Review
- Co-Expression Network Analysis of AMPK and Autophagy Gene Products during Adipocyte Differentiation.International journal of molecular sciences · 2018Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Autophagy contributes to reorganizing intracellular components and forming fat droplets during the adipocyte differentiation. Here, we systematically describe the role of autophagy-related genes and gene sets during the differentiation of adipocytes. We used a public dataset from the European Nucleotide Archive from an RNA-seq experiment in which 3T3-L1 cells were induced by a differentiation induction medium, total RNA was extracted and sequenced at four different time points. Raw reads were aligned to the UCSC mouse reference genome (mm10) using HISAT2, and aligned reads were summarized at the gene or exon level using HTSeq. DESeq2 and DEXSeq were used to model the gene and exon counts and test for differential expression and relative exon usage, respectively. After applying the appropriate transformation, gene counts were used to perform the gene set and pathway enrichment analysis. Data were obtained, processed and annotated using R and Bioconductor. Several autophagy-related genes and autophagy gene sets, as defined in the Gene Ontology, were actively regulated during the course of the adipocyte differentiation. We further characterized these gene sets by clustering their members to a few distinct temporal profiles. Other potential functionally related genes were identified using a machine learning procedure. In summary, we characterized the autophagy gene sets and their members to biologically meaningful groups and elected a number of genes to be functionally related based on their expression patterns, suggesting that autophagy plays a critical role in removal of some intracellular components and supply of energy sources for lipid biogenesis during adipogenesis.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.