Evidence map›Paper›PMID 33436550›Full record

ArticleNature communications2021

Differential contribution of transcriptomic regulatory layers in the definition of neuronal identity.

Kevin C H Ha, Timothy Sterne-Weiler, Quaid Morris, Robert J Weatheritt, Benjamin J Blencowe

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Translatome analysis in acute ischemic stroke: Astrocytes and microglia exhibit differences in poststroke alternative splicing of expressed transcripts.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2024
    Article
  6. Article
  7. Review
  8. Review
  9. The physiology of alternative splicing.Nature reviews. Molecular cell biology · 2023
    Review
  10. Article
  11. Editorial: RNA machines.Frontiers in genetics · 2023
    Article
  12. Publicly availableFrontiers in neuroscience · 2023
    Review
  13. Article
  14. Article
  15. Two-Color Fluorescent Reporters for Analysis of Alternative Splicing.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  16. Article
  17. Review
  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

5 authors.

Kevin C H HaDonnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON, M5S 3E1, Canada.
Timothy Sterne-WeilerDonnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON, M5S 3E1, Canada.
Quaid MorrisDonnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON, M5S 3E1, Canada.
Robert J WeatherittDonnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON, M5S 3E1, Canada. r.weatheritt@garvan.org.au.ORCID 0000-0003-3716-1783
Benjamin J BlencoweDonnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON, M5S 3E1, Canada. b.blencowe@utoronto.ca.ORCID 0000-0002-4461-0340

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
CIHRNCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Previous transcriptomic profiling studies have typically focused on separately analyzing mRNA expression, alternative splicing and alternative polyadenylation differences between cell and tissue types. However, the relative contribution of these three transcriptomic regulatory layers to cell type specification is poorly understood. This question is particularly relevant to neurons, given their extensive heterogeneity associated with brain location, morphology and function. In the present study, we generated profiles for the three regulatory layers from developmentally and regionally distinct subpopulations of neurons from the mouse hippocampus and broader nervous system. Multi-omics factor analyses revealed differing contributions of each transcriptomic layer in the discrimination of neurons based on their stage of development, region, and function. Importantly, profiles of differential alternative splicing and polyadenylation better discriminated specific neuronal subtype populations than gene expression patterns. These results provide evidence for differential relative contributions of coordinated gene regulatory layers in the specification of neuronal subtypes.

Indexed as

Gene Expression Regulation3' Untranslated RegionsAlternative SplicingAnimalsDown-RegulationHippocampusMiceNeuronsPolyadenylationRibosomal ProteinsTranscription, GeneticTranscriptomeUp-Regulation3' Untranslated RegionsRibosomal Proteins

Identifiers

PMID33436550
PMCPMC7804943

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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.