Systemic approaches using single cell transcriptome reveal that C/EBPγ regulates autophagy under amino acid starved condition.
Dongha KimJunil KimYoung Suk YuYong Ryoul KimSung Hee BaekKyoung Jae WonPublished in: Nucleic acids research (2022)
Autophagy, a catabolic process to remove unnecessary or dysfunctional organelles, is triggered by various signals including nutrient starvation. Depending on the types of the nutrient deficiency, diverse sensing mechanisms and signaling pathways orchestrate for transcriptional and epigenetic regulation of autophagy. However, our knowledge about nutrient type-specific transcriptional regulation during autophagy is limited. To understand nutrient type-dependent transcriptional mechanisms during autophagy, we performed single cell RNA sequencing (scRNAseq) in the mouse embryonic fibroblasts (MEFs) with or without glucose starvation (GS) as well as amino acid starvation (AAS). Trajectory analysis using scRNAseq identified sequential induction of potential transcriptional regulators for each condition. Gene regulatory rules inferred using TENET newly identified CCAAT/enhancer binding protein γ (C/EBPγ) as a regulator of autophagy in AAS, but not GS, condition, and knockdown experiment confirmed the TENET result. Cell biological and biochemical studies validated that activating transcription factor 4 (ATF4) is responsible for conferring specificity to C/EBPγ for the activation of autophagy genes under AAS, but not under GS condition. Together, our data identified C/EBPγ as a previously unidentified key regulator under AAS-induced autophagy.
Keyphrases
- transcription factor
- single cell
- signaling pathway
- endoplasmic reticulum stress
- cell death
- oxidative stress
- rna seq
- amino acid
- gene expression
- induced apoptosis
- binding protein
- healthcare
- genome wide
- high throughput
- type diabetes
- metabolic syndrome
- adipose tissue
- stem cells
- blood pressure
- epithelial mesenchymal transition
- heat shock
- genome wide identification
- skeletal muscle
- cell proliferation
- big data
- electronic health record
- endothelial cells
- heat stress