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A large-scale analysis of autophagy-related gene expression identifies new regulators of autophagy.

ABSTRACT: Autophagy is a pathway mediating vacuolar degradation and recycling of proteins and organelles, which plays crucial roles in cellular physiology. To ensure its proper cytoprotective function, the induction and amplitude of autophagy are tightly regulated, and defects in its regulation are associated with various diseases. Transcriptional control of autophagy is a critical aspect of autophagy regulation, which remains largely unexplored. In particular, very few transcription factors involved in the activation or repression of autophagy-related gene expression have been characterized. To identify such regulators, we analyzed the expression of representative ATG genes in a large collection of DNA-binding mutant deletion strains in growing conditions as well as after nitrogen or glucose starvation. This analysis identified several proteins involved in the transcriptional control of ATG genes. Further analyses showed a correlation between variations in expression and autophagy magnitude, thus identifying new positive and negative regulators of the autophagy pathway. By providing a detailed analysis of the regulatory network of the ATG genes our study paves the way for future research on autophagy regulation and signaling.

SUBMITTER: Bernard A

PROVIDER: S-EPMC4824583 | biostudies-literature | 2015 Nov

REPOSITORIES: biostudies-literature

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A large-scale analysis of autophagy-related gene expression identifies new regulators of autophagy.

Bernard Amélie A Jin Meiyan M Xu Ziheng Z Klionsky Daniel J DJ

Autophagy 20151101 11

Autophagy is a pathway mediating vacuolar degradation and recycling of proteins and organelles, which plays crucial roles in cellular physiology. To ensure its proper cytoprotective function, the induction and amplitude of autophagy are tightly regulated, and defects in its regulation are associated with various diseases. Transcriptional control of autophagy is a critical aspect of autophagy regulation, which remains largely unexplored. In particular, very few transcription factors involved in t ...[more]

PMID: 26649943

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Project description:Coronary artery disease (CAD) has a significant genetic contribution that is incompletely characterized. To complement genome-wide association (GWA) studies, we conducted a large and systematic candidate gene study of CAD susceptibility, including analysis of many uncommon and functional variants. We examined 49,094 genetic variants in ∼2,100 genes of cardiovascular relevance, using a customised gene array in 15,596 CAD cases and 34,992 controls (11,202 cases and 30,733 controls of European descent; 4,394 cases and 4,259 controls of South Asian origin). We attempted to replicate putative novel associations in an additional 17,121 CAD cases and 40,473 controls. Potential mechanisms through which the novel variants could affect CAD risk were explored through association tests with vascular risk factors and gene expression. We confirmed associations of several previously known CAD susceptibility loci (eg, 9p21.3:p<10(-33); LPA:p<10(-19); 1p13.3:p<10(-17)) as well as three recently discovered loci (COL4A1/COL4A2, ZC3HC1, CYP17A1:p<5×10(-7)). However, we found essentially null results for most previously suggested CAD candidate genes. In our replication study of 24 promising common variants, we identified novel associations of variants in or near LIPA, IL5, TRIB1, and ABCG5/ABCG8, with per-allele odds ratios for CAD risk with each of the novel variants ranging from 1.06-1.09. Associations with variants at LIPA, TRIB1, and ABCG5/ABCG8 were supported by gene expression data or effects on lipid levels. Apart from the previously reported variants in LPA, none of the other ∼4,500 low frequency and functional variants showed a strong effect. Associations in South Asians did not differ appreciably from those in Europeans, except for 9p21.3 (per-allele odds ratio: 1.14 versus 1.27 respectively; P for heterogeneity = 0.003). This large-scale gene-centric analysis has identified several novel genes for CAD that relate to diverse biochemical and cellular functions and clarified the literature with regard to many previously suggested genes.

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A large-scale analysis of autophagy-related gene expression identifies new regulators of autophagy.

Publications

A large-scale analysis of autophagy-related gene expression identifies new regulators of autophagy.

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