Evidence map›Paper›PMID 40527319›Full record

ArticleDevelopmental cell2025

Molecular profiling of adult C. elegans glia across sexes by single-nuclear RNA-seq.

Maria D Purice, Elgene J A Quitevis, R Sean Manning, Liza J Severs, Nina-Tuyen Tran, Violet Sorrentino, Connor Finkbeiner, Feinan Wu, Michael Zager, Manu Setty and 1 more

Abstract read
In one paragraph

Article in Developmental cell, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Glial overexpression of carbonic anhydrasemicroPublication biology · 2026
    Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Dendrite glia interactions: lessons from theFrontiers in cell and developmental biology · 2025
    Review
  10. Review
  11. Review
  12. A neurotransmitter atlas ofbioRxiv : the preprint server for biology · 2024
    Article
  13. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Maria D PuriceDivision of Basic Sciences, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA.
Elgene J A QuitevisDivision of Basic Sciences, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA; Herbold Computational Biology Program, Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA.
R Sean ManningDivision of Basic Sciences, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA.
Liza J SeversDivision of Basic Sciences, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA.
Nina-Tuyen TranDivision of Basic Sciences, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA.
Violet SorrentinoDivision of Basic Sciences, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA; Molecular and Cell Biology Graduate Program, Fred Hutchinson Cancer Center and University of Washington, Seattle, WA 98109, USA.
Connor FinkbeinerDivision of Basic Sciences, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA; Herbold Computational Biology Program, Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA; Department of Genome Sciences, University of Washington, Seattle, WA 98109, USA.
Feinan WuGenomics and Bioinformatics Shared Resource, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA.
Michael ZagerData Visualization Core, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA.
Manu SettyDivision of Basic Sciences, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA; Herbold Computational Biology Program, Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA; Translational Data Science IRC, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. Electronic address: msetty@fredhutch.org.
Aakanksha SinghviDivision of Basic Sciences, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA; Department of Neurobiology and Biophysics, University of Washington School of Medicine, Seattle, WA 98195, USA. Electronic address: asinghvi@fredhutch.org.

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Eric Collisson · 1985 to 2026
$296.4M
Wormbase SupplementP41HG002223 · NHGRI · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI STERNBERG, PAUL WARREN · 2000 to 2012
$32.0M
TRAINING IN MOLECULAR AND CELLULAR BIOLOGYT32GM007270 · NIGMS · UNIVERSITY OF WASHINGTON · PI RAIBLE, DAVID W · 1985 to 2020
$21.0M
WormBase: a core data resource for C. elegans and other nematodesU24HG002223 · NHGRI · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI TIM SCHEDL, PAUL Warren STERNBERG · 2018 to 2026
$18.9M
Interdisciplinary Tranining in Cancer ResearchT32CA080416 · NCI · UNIVERSITY OF WASHINGTON · PI STODDARD, BARRY L. · 1998 to 2023
$9.7M
Enhancing and expanding the CGC Strain CollectionP40OD010440 · OD · UNIVERSITY OF MINNESOTA · PI Aric L Daul, Ann E. Rougvie · 2012 to 2026
$7.5M
Biological Mechanisms of Healthy Aging Training GrantT32AG066574 · NIA · UNIVERSITY OF WASHINGTON · PI David J. Marcinek, Jessica E Young · 2020 to 2026
$5.3M
Molecular dissection of glia-neuron interactionsR01NS114222 · NINDS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI SINGHVI, AAKANKSHA · 2020 to 2024
$2.2M
Computational Modeling of Lineage Decisions using Single-cell DataR35GM147125 · NIGMS · FRED HUTCHINSON CANCER CENTER · PI Manu N Setty · 2022 to 2026
$2.1M
NCI NIH HHS P30 CA015704NCI NIH HHS T32 CA080416NHGRI NIH HHS P41 HG002223NHGRI NIH HHS U24 HG002223NIA NIH HHS T32 AG066574NIGMS NIH HHS R35 GM147125NIGMS NIH HHS T32 GM007270NIH HHS P40 OD010440NINDS NIH HHS R01 NS114222
6 · The paper itself

Abstract

A comprehensive understanding of nervous system function requires molecular insight into the diversity and sex dimorphism of both its component cell types, glia and neurons. Here, we present a single-nuclear RNA sequencing (RNA-seq) census of all neuroectoderm-derived glia in the adult C. elegans nervous system, across sexes. By iteratively coupling computational modeling and custom analytics with in vivo validations, we uncovered molecular markers for all glia, as well as class-specific and pan-glial molecular signatures. These identified that each glia is functionally heterogeneous across the nervous system and variably sex dimorphic between sexes. Thus, this glial transcriptome (wormglia.org) offers deep mechanistic insights into glial biology brain wide. Complementing the existing C. elegans neuronal transcriptome and mapped connectome, it also enables single-cell and molecular resolution insight into the entire nervous system of an adult metazoan.

Indexed as

Caenorhabditis elegansNeurogliaTranscriptomeAnimalsFemaleMaleNeuronsRNA-SeqSequence Analysis, RNASex CharacteristicsSingle-Cell AnalysisC. elegans gliacell-type classificationcellular heterogeneitydense core vesiclesgliaglial transcriptomesexual dimorphismsnRNA-seq

Identifiers

PMID40527319
PMCPMC12354267

What OpenQuestion holds

Textmetadata
LicenceTDM
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.