Evidence map›Paper›PMID 39699003›Full record

ArticleeLife2024

Statistical analysis supports pervasive RNA subcellular localization and alternative 3' UTR regulation.

Rob Bierman, Jui M Dave, Daniel M Greif, Julia Salzman

Abstract read
In one paragraph

Article in eLife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
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  7. Review
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  10. Review
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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

4 authors.

Rob BiermanDepartment of Biochemistry Stanford University, Stanford, United States.ORCID https://orcid.org/0000-0001-8513-7425
Jui M DaveDepartment of Biomedical Data Science Stanford University, New Haven, United States.
Daniel M GreifDepartment of Biomedical Data Science Stanford University, New Haven, United States.ORCID https://orcid.org/0000-0002-9842-3751
Julia SalzmanDepartment of Biochemistry Stanford University, Stanford, United States.ORCID https://orcid.org/0000-0001-7630-3436

Funding

Supplement to Enhance Wellness and Resiliency in the Graduate EnvironmentT32GM007276 · NIGMS · STANFORD UNIVERSITY · PI MORRISON, ASHBY J. · 1985 to 2023
$32.9M
Novel vascular smooth muscle cell progenitors in development and diseaseR35HL150766 · NHLBI · YALE UNIVERSITY · PI Daniel Greif · 2020 to 2026
$7.0M
Computational- and experimental- driven discovery of splicing regulation and circRNA functionR35GM139517 · NIGMS · STANFORD UNIVERSITY · PI Julia Salzman · 2021 to 2026
$2.9M
Pericyte angiopoietin2 and neonatal intracranial hemorrhageR21NS123469 · NINDS · YALE UNIVERSITY · PI GREIF, DANIEL · 2021 to 2021
$461k
Orthocoding for Spatial SequencingR56HG011231 · NHGRI · STANFORD UNIVERSITY · PI FORDYCE, POLLY MORRELL, ROHATGI, RAJAT · 2020 to 2020
$394k
Spatial Transcriptomics through CelltowersF31CA243170 · NCI · STANFORD UNIVERSITY · PI BIERMAN, ROBERT · 2019 to 2020
$75k
American Heart Association 19EIA34660321American Heart Association 856332NCI NIH HHS 5F31CA243170-02NCI NIH HHS F31 CA243170NHGRI NIH HHS 1R56HG011231-01NHGRI NIH HHS R56 HG011231NHLBI NIH HHS R35 HL150766NHLBI NIH HHS R35HL150766NIGMS NIH HHS 1R35GM139517-01NIGMS NIH HHS 5T32GM007276NIGMS NIH HHS R35 GM139517NIGMS NIH HHS T32 GM007276NINDS NIH HHS 1R21NS123469NINDS NIH HHS R21 NS123469
6 · The paper itself

Abstract

Targeted low-throughput studies have previously identified subcellular RNA localization as necessary for cellular functions including polarization, and translocation. Furthermore, these studies link localization to RNA isoform expression, especially 3' Untranslated Region (UTR) regulation. The recent introduction of genome-wide spatial transcriptomics techniques enables the potential to test if subcellular localization is regulated in situ pervasively. In order to do this, robust statistical measures of subcellular localization and alternative poly-adenylation (APA) at single-cell resolution are needed. Developing a new statistical framework called SPRAWL, we detect extensive cell-type specific subcellular RNA localization regulation in the mouse brain and to a lesser extent mouse liver. We integrated SPRAWL with a new approach to measure cell-type specific regulation of alternative 3' UTR processing and detected examples of significant correlations between 3' UTR length and subcellular localization. Included examples,

Indexed as

3' Untranslated RegionsBrainAnimalsGene Expression RegulationLiverMicePolyadenylationRNASingle-Cell Analysis3' Untranslated RegionsRNAcomputational biologymousespatial RNAseqstatistical methodssub-cellular patterningsystems biology

Identifiers

PMID39699003
PMCPMC11658768

What Socratic 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 Socratic graph.