Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Genome-wide quantification of RNA flow across subcellular compartments reveals determinants of the mammalian transcript life cycle

ABSTRACT: Dissecting the myriad regulatory mechanisms controlling eukaryotic transcripts from production to degradation requires quantitative measurements of mRNA flow across the cell. We developed subcellular TimeLapse-seq to measure the rates at which RNAs are released from chromatin, exported from the nucleus, loaded onto polysomes, and degraded within the nucleus and cytoplasm. These rates varied substantially, yet transcripts from genes with related functions or targeted by the same transcription factors and RNA binding proteins flowed across subcellular compartments with similar kinetics. Verifying these associations uncovered roles for DDX3X and PABPC4 in nuclear export. For hundreds of genes, most transcripts were degraded within the nucleus, while the remaining molecules were exported and persisted with stable lifespans. Transcripts residing on chromatin for longer had extended poly(A) tails, whereas the reverse was observed for cytoplasmic mRNAs. Finally, a machine learning model identified additional molecular features that underlie the diverse life cycles of mammalian mRNAs.

ORGANISM(S): Homo sapiens

PROVIDER: GSE230018 | GEO | 2024/07/03

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Genome-wide quantification of RNA flow across subcellular compartments reveals determinants of the mammalian transcript life cycle [RNAseq]

Project description:Dissecting the myriad regulatory mechanisms controlling eukaryotic transcripts from production to degradation requires quantitative measurements of mRNA flow across the cell. We developed subcellular TimeLapse-seq to measure the rates at which RNAs are released from chromatin, exported from the nucleus, loaded onto polysomes, and degraded within the nucleus and cytoplasm. These rates varied substantially, yet transcripts from genes with related functions or targeted by the same transcription factors and RNA binding proteins flowed across subcellular compartments with similar kinetics. Verifying these associations uncovered roles for DDX3X and PABPC4 in nuclear export. For hundreds of genes, most transcripts were degraded within the nucleus, while the remaining molecules were exported and persisted with stable lifespans. Transcripts residing on chromatin for longer had extended poly(A) tails, whereas the reverse was observed for cytoplasmic mRNAs. Finally, a machine learning model identified additional molecular features that underlie the diverse life cycles of mammalian mRNAs.

2024-07-03 | GSE231290 | GEO

Genome-wide quantification of RNA flow across subcellular compartments reveals determinants of the mammalian transcript life cycle.

2024-07-03 | GSE230029 | GEO

Genome-wide quantification of RNA flow across subcellular compartments reveals determinants of the mammalian transcript life cycle

Project description:Dissecting the regulatory mechanisms controlling mammalian transcripts from production to degradation requires quantitative measurements of mRNA flow across the cell. We developed subcellular TimeLapse-seq to measure the rates at which RNAs are released from chromatin, exported from the nucleus, loaded onto polysomes, and degraded within the nucleus and cytoplasm in human and mouse cells. These rates varied substantially, yet transcripts from genes with related functions or targeted by the same transcription factors and RNA-binding proteins flowed across subcellular compartments with similar kinetics. Verifying these associations uncovered a link between DDX3X and nuclear export. For hundreds of RNA metabolism genes, most transcripts with retained introns were degraded by the nuclear exosome, while the remaining molecules were exported with stable cytoplasmic lifespans. Transcripts residing on chromatin for longer had extended poly(A) tails, whereas the reverse was observed for cytoplasmic mRNAs. Finally, machine learning identified molecular features that predicted the diverse life cycles of mRNAs.

2023-06-22 | GSE208225 | GEO

Genome-wide quantification of RNA flow across subcellular compartments reveals determinants of the transcript life cycle

Project description:Series of regulatory mechanisms control eukaryotic mRNAs, from their production on chromatin to their eventual degradation. Dissecting these pathways requires quantitative measurements of mRNA flow across the cell. We developed subcellular TimeLapse-seq to measure the rates at which RNAs are released from chromatin, exported from the nucleus, loaded onto polysomes, and degraded within the nucleus and the cytoplasm. All rates displayed substantial variability genome-wide, and transcripts from genes with related functions flowed across subcellular compartments with similar kinetics. For some genes, most transcripts were rapidly degraded within the nucleus, while the remaining molecules were exported and persisted with stable lifespans. With compartment-specific measurements of poly(A) tail lengths, we found that relationships between tail length and stability differ across the cell. The targets of RNA binding proteins experience distinct RNA flow kinetics, and we found that two, DDX3X and PABPC4, act by controlling the nuclear export of their targets. Finally, we developed a machine learning model to propose additional molecular features that underlie the diverse life cycle of mammalian mRNAs.

2024-07-03 | GSE264556 | GEO

Genome-wide quantification of RNA flow across subcellular compartments reveals determinants of the transcript life cycle [Nanostring]

2024-07-03 | GSE207925 | GEO

Genome-wide quantification of RNA flow across subcellular compartments reveals determinants of the transcript life cycle [RNA-seq]

2024-07-03 | GSE207924 | GEO

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.

2022-06-01 | GSE182856 | GEO

Cue-specific remodeling of the neuronal transcriptome through intron retention programs

Project description:We provide a comprehensive map of the subcellular localization of mRNAs in mature neurons and reveal that transcripts stably retaining introns are broadly targeted for nuclear retention. We systematically probed the fate of nuclear transcripts upon neuronal stimulation and found that sub-populations of transcripts are bi-directionally regulated in response to neuronal cues: some are targeted for degradation while others undergo splicing completion to generate fully mature mRNAs which are exported to the cytosol.

2022-08-31 | GSE210071 | GEO

Deep Sequencing of Human Nuclear and Cytoplasmic Small RNAs Reveals an Unexpectedly Complex Subcellular Distribution of miRNAs and tRNA 3' Trailers

Project description:Background: MicroRNAs (miRNAs) are 22-nt small non-coding regulatory RNAs that have generally been considered to regulate gene expression at the post-transcriptional level in the cytoplasm. However, recent studies have reported that some miRNAs localize to and function in the nucleus. Methodology/Principal Findings: To determine the number of miRNAs localized to the nucleus, we systematically investigated the subcellular distribution of small RNAs (sRNAs) by independent deep sequencing the nuclear and cytoplasmic pools of 18- to 30-nucleotide sRNAs from human cells. We identified 339 nuclear and 324 cytoplasmic known miRNAs, 300 of which overlap, suggesting that the majority of miRNAs are imported into the nucleus. With the exception of a few miRNAs evidently enriched in the nuclear pool, such as the mir-29b, the ratio of miRNA abundances in the nuclear fraction versus in the cytoplasmic fraction vary to some extent. Moreover, our results revealed that a large number of tRNA 3' trailers are exported from the nucleus and accumulate in the cytoplasm. These tRNA 3' trailers accumulate in a variety of cell types, implying that the biogenesis of tRNA 3' trailers is conserved and that they have a potential functional role in vertebrate cells. Conclusion/Significance: Our results provide the first comprehensive view of the subcellular distribution of diverse sRNAs and new insights into the roles of miRNAs and tRNA 3' trailers in the cell Discovery and characterization of small RNA species through deep sequencing of nuclear and cytoplasmic small RNA fractions from 5-8F cells, a nasopharyngeal carcinoma cell line.

2010-07-14 | E-GEOD-22918 | biostudies-arrayexpress

Altered nucleocytoplasmic export of adenosine (A)-rich circRNAs by PABPC1 contributes to neuronal function [FB_KD_circRTN4_RNAseq]

Project description:Circular RNAs (circRNAs) are upregulated during neurogenesis. Where and how circRNAs are localized, and what roles they play during this process have remained elusive. By comparing the nuclear and cytoplasmic circRNAs between H9 cells and H9-derived forebrain neurons (FB), we found a subset of adenosine (A)-rich circRNAs are restricted in H9 nuclei but exported to cytosols upon forebrain neuron differentiation. This differentiation-coupled circRNA subcellular relocation is modulated by the poly(A)-binding protein PABPC1. In the nucleus, newly produced (A)-rich circRNAs are bound by PABPC1 and the nuclear basket protein TPR to prevent their nucleocytoplasmic export. Modulation of (A)-rich motifs in circRNAs remarkably alters their subcellular localization. Enforced (A)-rich circRNAs in cytosols result in mRNA translation suppression. Furthermore, decreased nuclear PABPC1 upon neuronal differentiation enables the export of (A)-rich circRNAs including circRTN4(2,3), which is required for neurite outgrowth. These findings uncover subcellular localization features of circRNAs, linking their processing and function during neurogenesis.

2024-04-30 | GSE265930 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data