Evidence map›Paper›PMID 24586954›Full record

ArticlePloS one2014

SnapShot-Seq: a method for extracting genome-wide, in vivo mRNA dynamics from a single total RNA sample.

Jesse M Gray, David A Harmin, Sarah A Boswell, Nicole Cloonan, Thomas E Mullen, Joseph J Ling, Nimrod Miller, Scott Kuersten, Yong-Chao Ma, Steven A McCarroll and 2 more

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
–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

36 citing papers in PubMed.

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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

12 authors.

Jesse M GrayDepartment of Genetics, Harvard Medical School, Boston, Massachusetts, United States of America.
David A HarminDepartment of Neurobiology, Harvard Medical School, Boston, Massachusetts, United States of America.
Sarah A BoswellDepartment of Systems Biology, Harvard Medical School, Boston, Massachusetts, United States of America.
Nicole CloonanGenomic Biology Laboratory, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia.
Thomas E MullenDepartment of Genetics, Harvard Medical School, Boston, Massachusetts, United States of America.
Joseph J LingDepartment of Genetics, Harvard Medical School, Boston, Massachusetts, United States of America.
Nimrod MillerDepartments of Pediatrics, Neurology, and Physiology, Northwestern University Feinberg School of Medicine and Lurie Children's Hospital of Chicago Research Center, Chicago, Illinois, United States of America.
Scott KuerstenEpicentre, Madison, Wisconsin, United States of America.
Yong-Chao MaDepartments of Pediatrics, Neurology, and Physiology, Northwestern University Feinberg School of Medicine and Lurie Children's Hospital of Chicago Research Center, Chicago, Illinois, United States of America.
Steven A McCarrollDepartment of Genetics, Harvard Medical School, Boston, Massachusetts, United States of America.
Sean M GrimmondInstitute for Cancer Sciences, University of Glasgow, Glasgow, Scotland, United Kingdom.
Michael SpringerDepartment of Systems Biology, Harvard Medical School, Boston, Massachusetts, United States of America.

Funding

The algorithms used by the genome to interpret neural activityR01MH101528 · NIMH · HARVARD MEDICAL SCHOOL · PI GRAY, JESSE MICHAEL · 2013 to 2017
$2.7M
NIMH NIH HHS 1 R01 MH101528-01NIMH NIH HHS R01 MH101528
6 · The paper itself

Abstract

mRNA synthesis, processing, and destruction involve a complex series of molecular steps that are incompletely understood. Because the RNA intermediates in each of these steps have finite lifetimes, extensive mechanistic and dynamical information is encoded in total cellular RNA. Here we report the development of SnapShot-Seq, a set of computational methods that allow the determination of in vivo rates of pre-mRNA synthesis, splicing, intron degradation, and mRNA decay from a single RNA-Seq snapshot of total cellular RNA. SnapShot-Seq can detect in vivo changes in the rates of specific steps of splicing, and it provides genome-wide estimates of pre-mRNA synthesis rates comparable to those obtained via labeling of newly synthesized RNA. We used SnapShot-Seq to investigate the origins of the intrinsic bimodality of metazoan gene expression levels, and our results suggest that this bimodality is partly due to spillover of transcriptional activation from highly expressed genes to their poorly expressed neighbors. SnapShot-Seq dramatically expands the information obtainable from a standard RNA-Seq experiment.

Indexed as

Alternative SplicingBiflavonoidsHeLa CellsHigh-Throughput Nucleotide SequencingHumansIntronsModels, TheoreticalMonte Carlo MethodRNARNA, MessengerRNA PrecursorsRNA SplicingRNA StabilitySequence Analysis, RNATranscription, GeneticBiflavonoidsisoginkgetinRNARNA, MessengerRNA Precursors

Identifiers

PMID24586954
PMCPMC3935918

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.