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Characterisation of the temporal hepatic transcriptome at subcellular level

ABSTRACT: Characterisation of the temporal hepatic transcriptome at subcellular level

PROVIDER: PRJNA758070 | ENA |

REPOSITORIES: ENA

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Characterisation of the temporal hepatic transcriptome at subcellular level

Project description:In eukaryotes, RNA is synthesized in the nucleus, spliced, and exported to the cytoplasm where it is translated and finally degraded. Any of these steps could be subject to temporal regulation during the circadian cycle, generating daily fluctuations of RNA accumulation and impacting the distribution of transcripts in different subcellular compartments. Here, we performed a comprehensive analysis of nuclear and cytoplasmic, polyA and total, transcriptomes of mouse livers sampled along the daily cycle. These data provide a genome-wide temporal inventory of RNA subcellular enrichments, and revealed specific signatures of splicing, nuclear export and cytoplasmic mRNA stability related to transcript and gene lengths. Combined with a mathematical model describing rhythmic RNA profiles , we could test the rhyhtmicity of export rates and cytoplasmic degradation rates of ~1400 genes. While nuclear export times are usually much shorter than cytoplasmic half-lives, we found that that nuclear export contributes to the modulation and generation of rhythmic profiles of ~10% of the cycling nuclear mRNAs. This study provides an estimation of the nuclear and cytoplasmic life times in the liver and contributes to a better understanding of the dynamic regulation of the transcriptome during the feeding-fasting cycle.

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Comprehensive characterisation of HNF4A and HNF1A genomic targets in pancreatic beta cells and hepatic cells reveals common and tissue-specific pathways and genes

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Simultaneous characterisation of RNA and protein subcellular dynamics

Project description:Existing methods to analyse RNA localisation are constrained to specific RNAs or subcellular niches, precluding the cell-wide mapping of RNA. We present Localisation of RNA (LoRNA), which maps, at once, RNAs to membranous (nucleus, ER and mitochondria) and membraneless compartments (cytosol, nucleolus and phase-separated granules). Simultaneous interrogation of all RNA locations allows the system-wide quantification of RNA proportional distribution and the comprehensive analysis of RNA subcellular dynamics. Moreover, we have re-engineered the LOPIT (Localisation Of Proteins by Isotope Tagging) method, enabling integration with LoRNA, to jointly map RNA and protein subcellular localisation. Applying this framework, we obtain a global re-localisation map for 31839 transcripts and 5314 proteins during the unfolded protein response, uncovering that ER-localised transcripts are more efficiently recruited to stress granules than cytosolic RNAs, and revealing eIF3d is key to sustain cytoskeletal function. Overall, we provide the most exhaustive map to date of RNA and protein subcellular dynamics.

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