Evidence map›Paper›PMID 33514943›Full record

ArticleNature protocols2021

Revealing nascent RNA processing dynamics with nano-COP.

Heather L Drexler, Karine Choquet, Hope E Merens, Paul S Tang, Jared T Simpson, L Stirling Churchman

Open access · greenAbstract read
In one paragraph

Article in Nature protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
3.3field-weighted citation impact, top 6% of its field
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

33 citing papers in PubMed, 48 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Long-read Sequencing of Nascent RNA from Budding and Fission Yeasts.bioRxiv : the preprint server for biology · 2025
    Article
  7. Improving confidence of differential transcription calls in enhancers.bioRxiv : the preprint server for biology · 2025
    Article
  8. Article
  9. Article
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  12. Review
  13. Review
  14. Article
  15. Article
  16. Co-transcriptional gene regulation in eukaryotes and prokaryotes.Nature reviews. Molecular cell biology · 2024
    Review
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Heather L Drexler *Department of Genetics, Harvard Medical School, Boston, MA, USA.
Karine Choquet *Department of Genetics, Harvard Medical School, Boston, MA, USA.
Hope E MerensDepartment of Genetics, Harvard Medical School, Boston, MA, USA.
Paul S TangOntario Institute for Cancer Research, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0001-7457-0338
Jared T SimpsonOntario Institute for Cancer Research, Toronto, Ontario, Canada.
L Stirling ChurchmanDepartment of Genetics, Harvard Medical School, Boston, MA, USA. churchman@genetics.med.harvard.edu.ORCID http://orcid.org/0000-0003-3888-2574
Harvard University · USOntario Institute for Cancer Research · CA

Funding

Mechanisms of Transcriptional Control Revealed by Nascent Transcript SequencingR01HG007173 · NHGRI · HARVARD MEDICAL SCHOOL · PI Lee Stirling Churchman · 2013 to 2026
$6.7M
Global control of co-transcriptional splicingR01GM136794 · NIGMS · HARVARD MEDICAL SCHOOL · PI Lee Stirling Churchman · 2021 to 2026
$3.2M
Direct nanopore detection of modified RNA to probe structure and dynamicsR01HG010538 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI TIMP, WINSTON GEORGE · 2019 to 2022
$3.1M
High Resolution Analysis of Transcription-Splicing CouplingR01GM117333 · NIGMS · HARVARD MEDICAL SCHOOL · PI CHURCHMAN, LEE STIRLING · 2016 to 2019
$2.1M
Global measurement of splicing kineticsR21HG009264 · NHGRI · HARVARD MEDICAL SCHOOL · PI CHURCHMAN, LEE STIRLING · 2016 to 2017
$431k
Characterizing the regulation of co-transcriptional splicing rates in human cellsF31GM122133 · NIGMS · HARVARD MEDICAL SCHOOL · PI LANDRY, HEATHER · 2017 to 2018
$69k
CIHRNHGRI NIH HHS R01 HG007173NHGRI NIH HHS R01 HG010538NHGRI NIH HHS R21 HG009264NIGMS NIH HHS F31 GM122133NIGMS NIH HHS R01 GM117333NIGMS NIH HHS R01 GM136794
6 · The paper itself

Abstract

During maturation, eukaryotic precursor RNAs undergo processing events including intron splicing, 3'-end cleavage, and polyadenylation. Here we describe nanopore analysis of co-transcriptional processing (nano-COP), a method for probing the timing and patterns of RNA processing. An extension of native elongating transcript sequencing, which quantifies transcription genome-wide through short-read sequencing of nascent RNA 3' ends, nano-COP uses long-read nascent RNA sequencing to observe global patterns of RNA processing. First, nascent RNA is stringently purified through a combination of 4-thiouridine metabolic labeling and cellular fractionation. In contrast to cDNA or short-read-based approaches relying on reverse transcription or amplification, the sample is sequenced directly through nanopores to reveal the native context of nascent RNA. nano-COP identifies both active transcription sites and splice isoforms of single RNA molecules during synthesis, providing insight into patterns of intron removal and the physical coupling between transcription and splicing. The nano-COP protocol yields data within 3 d.

Indexed as

AnimalsExonsHumansIntronsProtein Modification, TranslationalRNARNA, MessengerRNA Polymerase IIRNA PrecursorsRNA Processing, Post-TranscriptionalRNA SplicingSequence Analysis, RNATranscription, GeneticRNARNA, MessengerRNA Polymerase IIRNA Precursors

Identifiers

PMID33514943
PMCPMC8713461
OpenAlexW3122118726

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.