Regulation of nuclear transcription by mitochondrial RNA in endothelial cells.
Kiran SriramZhijie QiDongqiang YuanNaseeb Kaur MalhiXuejing LiuRiccardo CalandrelliYingjun LuoAlonso TapiaShengyan JinJi ShiMartha SalasRunrui DangBrian ArmstrongSaul J PricemanPing H WangJiayu LiaoRama NatarajanSheng ZhongZhen Bouman ChenPublished in: eLife (2024)
Chromatin-associated RNAs (caRNAs) form a relatively poorly recognized layer of the epigenome. The caRNAs reported to date are transcribed from the nuclear genome. Here, leveraging a recently developed assay for detection of caRNAs and their genomic association, we report that mitochondrial RNAs (mtRNAs) are attached to the nuclear genome and constitute a subset of caRNA, thus termed mt-caRNA. In four human cell types analyzed, mt-caRNAs preferentially attach to promoter regions. In human endothelial cells (ECs), the level of mt-caRNA-promoter attachment changes in response to environmental stress that mimics diabetes. Suppression of a non-coding mt-caRNA in ECs attenuates stress-induced nascent RNA transcription from the nuclear genome, including that of critical genes regulating cell adhesion, and abolishes stress-induced monocyte adhesion, a hallmark of dysfunctional ECs. Finally, we report increased nuclear localization of multiple mtRNAs in the ECs of human diabetic donors, suggesting many mtRNA translocate to the nucleus in a cell stress and disease-dependent manner. These data nominate mt-caRNAs as messenger molecules responsible for mitochondrial-nuclear communication and connect the immediate product of mitochondrial transcription with the transcriptional regulation of the nuclear genome.
Keyphrases
- endothelial cells
- stress induced
- transcription factor
- genome wide
- oxidative stress
- dna methylation
- type diabetes
- high glucose
- gene expression
- single cell
- induced pluripotent stem cells
- cell adhesion
- vascular endothelial growth factor
- stem cells
- dendritic cells
- pseudomonas aeruginosa
- dna damage
- adipose tissue
- high throughput
- bone marrow
- metabolic syndrome
- immune response
- insulin resistance
- artificial intelligence
- copy number
- deep learning
- sensitive detection
- real time pcr
- label free