Evidence map›Paper›PMID 33674385›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

Complexity and graded regulation of neuronal cell-type-specific alternative splicing revealed by single-cell RNA sequencing.

Huijuan Feng, Daniel F Moakley, Shuonan Chen, Melissa G McKenzie, Vilas Menon, Chaolin Zhang

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 5% 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

56 citing papers in PubMed, 1 synthesis or guideline pooled it, 72 citations in OpenAlex.

  1. Pooled it
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  14. Beyond transcription: RNA-binding proteins steering angiogenesis.American journal of physiology. Heart and circulatory physiology · 2026
    Review
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  16. A neuron type-specific microexon inbioRxiv : the preprint server for biology · 2025
    Article
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  19. Science advances · 2025
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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

6 authors at 1 institution in 1 country.

Huijuan FengDepartment of Systems Biology, Columbia University, New York, NY 10032.
Daniel F MoakleyDepartment of Systems Biology, Columbia University, New York, NY 10032.
Shuonan ChenDepartment of Systems Biology, Columbia University, New York, NY 10032.
Melissa G McKenzieDepartment of Systems Biology, Columbia University, New York, NY 10032.ORCID 0000-0002-6265-8882
Vilas MenonDepartment of Neurology, Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University, New York, NY 10032.
Chaolin ZhangDepartment of Systems Biology, Columbia University, New York, NY 10032; cz2294@columbia.edu.ORCID 0000-0002-8310-7537
Columbia University · US

Funding

RNA Regulatory Networks in Neuronal Cell Type Diversity and FunctionR01NS125018 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Chaolin Zhang · 2022 to 2026
$3.0M
High-performance compute cluster for biomedical computingS10OD012351 · OD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CALIFANO, ANDREA · 2012 to 2012
$2.0M
Single-nucleotide resolution mapping of allelic protein-RNA interactions and splicing-regulatory variantsR01GM124486 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ZHANG, CHAOLIN · 2018 to 2021
$1.8M
RNA regulatory networks in motor neuron development and functionR01NS089676 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ZHANG, CHAOLIN · 2015 to 2019
$1.8M
Storage System for High Performance ComputingS10OD021764 · OD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CALIFANO, ANDREA · 2016 to 2016
$600k
NIGMS NIH HHS R01 GM124486NIH HHS S10 OD012351NIH HHS S10 OD021764NINDS NIH HHS R01 NS089676NINDS NIH HHS R01 NS125018
6 · The paper itself

Abstract

The enormous cellular diversity in the mammalian brain, which is highly prototypical and organized in a hierarchical manner, is dictated by cell-type-specific gene-regulatory programs at the molecular level. Although prevalent in the brain, the contribution of alternative splicing (AS) to the molecular diversity across neuronal cell types is just starting to emerge. Here, we systematically investigated AS regulation across over 100 transcriptomically defined neuronal types of the adult mouse cortex using deep single-cell RNA-sequencing data. We found distinct splicing programs between glutamatergic and GABAergic neurons and between subclasses within each neuronal class. These programs consist of overlapping sets of alternative exons showing differential splicing at multiple hierarchical levels. Using an integrative approach, our analysis suggests that RNA-binding proteins (RBPs) Celf1/2, Mbnl2, and Khdrbs3 are preferentially expressed and more active in glutamatergic neurons, while Elavl2 and Qk are preferentially expressed and more active in GABAergic neurons. Importantly, these and additional RBPs also contribute to differential splicing between neuronal subclasses at multiple hierarchical levels, and some RBPs contribute to splicing dynamics that do not conform to the hierarchical structure defined by the transcriptional profiles. Thus, our results suggest graded regulation of AS across neuronal cell types, which may provide a molecular mechanism to specify neuronal identity and function that are orthogonal to established classifications based on transcriptional regulation.

Indexed as

RNA-SeqRNA SplicingSingle-Cell AnalysisAnimalsCerebral CortexGABAergic NeuronsMiceNerve Tissue ProteinsNerve Tissue Proteinsalternative splicinggraded regulationneuronal cell type diversityRNA-binding proteinssingle-cell RNA-sequencing

Identifiers

PMID33674385
PMCPMC7958184
OpenAlexW3135803502

What OpenQuestion holds

Textmetadata
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.