Evidence map›Paper›PMID 38744866›Full record

ArticleNature communications2024

Quantifying 3'UTR length from scRNA-seq data reveals changes independent of gene expression.

Mervin M Fansler, Sibylle Mitschka, Christine Mayr

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

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  12. Intronic polyadenylation-derived long noncoding RNA modulates nucleolar integrity and function.Proceedings of the National Academy of Sciences of the United States of America · 2026
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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

3 authors.

Mervin M Fansler *Tri-Institutional Training Program in Computational Biology and Medicine, Weill Cornell Graduate College, New York, NY, 10021, USA.
Sibylle Mitschka *Cancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.ORCID http://orcid.org/0000-0003-2169-8957
Christine MayrTri-Institutional Training Program in Computational Biology and Medicine, Weill Cornell Graduate College, New York, NY, 10021, USA. mayrc@mskcc.org.ORCID http://orcid.org/0000-0002-7084-7608

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
3'UTR-mediated protein-protein interactions determine protein functionsDP1GM123454 · NIGMS · SLOAN-KETTERING INST CAN RESEARCH · PI MAYR, CHRISTINE · 2016 to 2020
$6.1M
Regulation of protein multi-functionality by 3 UTRsR35GM144046 · NIGMS · SLOAN-KETTERING INST CAN RESEARCH · PI Christine Mayr · 2022 to 2026
$3.5M
Tri-Institutional Training Program in Computational Biology & MedicineT32GM083937 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI CHRISTINI, DAVID J. · 2009 to 2018
$3.1M
NCI NIH HHS P30 CA008748NIGMS NIH HHS DP1 GM123454NIGMS NIH HHS R35 GM144046NIGMS NIH HHS T32 GM083937U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) R35GM144046U.S. Department of Health & Human Services | NIH | NIH Office of the Director (OD) DP1-GM123454
6 · The paper itself

Abstract

Although more than half of all genes generate transcripts that differ in 3'UTR length, current analysis pipelines only quantify the amount but not the length of mRNA transcripts. 3'UTR length is determined by 3' end cleavage sites (CS). We map CS in more than 200 primary human and mouse cell types and increase CS annotations relative to the GENCODE database by 40%. Approximately half of all CS are used in few cell types, revealing that most genes only have one or two major 3' ends. We incorporate the CS annotations into a computational pipeline, called scUTRquant, for rapid, accurate, and simultaneous quantification of gene and 3'UTR isoform expression from single-cell RNA sequencing (scRNA-seq) data. When applying scUTRquant to data from 474 cell types and 2134 perturbations, we discover extensive 3'UTR length changes across cell types that are as widespread and coordinately regulated as gene expression changes but affect mostly different genes. Our data indicate that mRNA abundance and mRNA length are two largely independent axes of gene regulation that together determine the amount and spatial organization of protein synthesis.

Indexed as

3' Untranslated RegionsRNA, MessengerAnimalsComputational BiologyGene Expression ProfilingGene Expression RegulationHumansMiceRNA-SeqSequence Analysis, RNASingle-Cell Gene Expression Analysis3' Untranslated RegionsRNA, Messenger

Identifiers

PMID38744866
PMCPMC11094166

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Registered trials

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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.