Evidence map›Paper›PMID 21516085›Full record

ArticleNature biotechnology2011

Metabolic labeling of RNA uncovers principles of RNA production and degradation dynamics in mammalian cells.

Michal Rabani, Joshua Z Levin, Lin Fan, Xian Adiconis, Raktima Raychowdhury, Manuel Garber, Andreas Gnirke, Chad Nusbaum, Nir Hacohen, Nir Friedman and 2 more

Abstract read
In one paragraph

Article in Nature biotechnology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 351 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
351citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

351 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
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  5. A nucleic acid labeling chemistry reveals surface DNA on exosomes.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  6. Ribosome biogenesis bottlenecks reveal vulnerabilities in cancer.bioRxiv : the preprint server for biology · 2026
    Article
  7. Article
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  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. piRNAs safeguard splicing and RNA fidelity during heat shock.bioRxiv : the preprint server for biology · 2025
    Article
  16. Article
  17. A nucleic acid labeling chemistry reveals surface DNA on exosomes.bioRxiv : the preprint server for biology · 2025
    Article
  18. Review
  19. Article
  20. Article

291 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Michal RabaniBroad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Joshua Z Levin
Lin Fan
Xian Adiconis
Raktima Raychowdhury
Manuel Garber
Andreas Gnirke
Chad Nusbaum
Nir Hacohen
Nir Friedman
Ido Amit
Aviv Regev

Funding

Treatments for Nipah Virus InfectionU54AI057159 · NIAID · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI HARRISON, STEPHEN COPLAN · 2003 to 2013
$113.7M
The temporal reconfiguration of regulatory networks: From yeast to cancerDP1OD003958 · OD · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI REGEV, AVIV · 2008 to 2011
$3.3M
Revealing pathogen-sensing pathways using RNAi librariesDP2OD002230 · OD · MASSACHUSETTS GENERAL HOSPITAL · PI HACOHEN, NIR · 2007 to 2007
$2.6M
nCounter Analysis SystemS10RR026688 · NCRR · BROAD INSTITUTE, INC. · PI HACOHEN, NIR · 2010 to 2010
$254k
Howard Hughes Medical InstituteNCCDPHP CDC HHS DP1-00003958-01NCRR NIH HHS S10 RR026688NIAID NIH HHS U54 AI057159NIH HHS DP1 OD003958NIH HHS DP2 OD002230
6 · The paper itself

Abstract

Cellular RNA levels are determined by the interplay of RNA production, processing and degradation. However, because most studies of RNA regulation do not distinguish the separate contributions of these processes, little is known about how they are temporally integrated. Here we combine metabolic labeling of RNA at high temporal resolution with advanced RNA quantification and computational modeling to estimate RNA transcription and degradation rates during the response of mouse dendritic cells to lipopolysaccharide. We find that changes in transcription rates determine the majority of temporal changes in RNA levels, but that changes in degradation rates are important for shaping sharp 'peaked' responses. We used sequencing of the newly transcribed RNA population to estimate temporally constant RNA processing and degradation rates genome wide. Degradation rates vary significantly between genes and contribute to the observed differences in the dynamic response. Certain transcripts, including those encoding cytokines and transcription factors, mature faster. Our study provides a quantitative approach to study the integrative process of RNA regulation.

Indexed as

Transcription, GeneticAnimalsBiotinylationCells, CulturedComputational BiologyDendritic CellsDown-RegulationFemaleGenetic Association StudiesLipopolysaccharidesMiceMice, Inbred C57BLModels, MolecularRNARNA, MessengerRNA Polymerase IILipopolysaccharidesRNARNA, MessengerRNA Polymerase IITranscription Factors

Identifiers

PMID21516085
PMCPMC3114636

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.