Evidence map›Paper›PMID 29204516›Full record

ArticleeNeuro

Cross-Laboratory Analysis of Brain Cell Type Transcriptomes with Applications to Interpretation of Bulk Tissue Data.

B Ogan Mancarci, Lilah Toker, Shreejoy J Tripathy, Brenna Li, Brad Rocco, Etienne Sibille, Paul Pavlidis

Abstract read
In one paragraph

Article in eNeuro. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed, 3 pooled it
–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

85 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Cardiac epigenome in heart development and disease.Nature reviews. Cardiology · 2026
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. A Transcriptomic Signature of Depressive Symptoms in Late Life.Biological psychiatry global open science · 2025
    Article
  20. Article

25 more citing papers are in PubMed but not listed here.

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

7 authors.

B Ogan MancarciGraduate Program in Bioinformatics, University of British Columbia, Vancouver V6T 1Z4, Canada.ORCID 0000-0002-1452-0889
Lilah TokerDepartment of Psychiatry, University of British Columbia, Vancouver V6T 2A1, Canada.
Shreejoy J TripathyDepartment of Psychiatry, University of British Columbia, Vancouver V6T 2A1, Canada.ORCID 0000-0002-1007-9061
Brenna LiDepartment of Psychiatry, University of British Columbia, Vancouver V6T 2A1, Canada.ORCID 0000-0003-3692-243X
Brad RoccoCampbell Family Mental Health Research Institute of CAMH.
Etienne SibilleCampbell Family Mental Health Research Institute of CAMH.
Paul PavlidisDepartment of Psychiatry, University of British Columbia, Vancouver V6T 2A1, Canada.ORCID 0000-0002-0426-5028

Funding

Neuroinformatics for gene expression: networks, function and meta-analysisR01MH111099 · NIMH · UNIVERSITY OF BRITISH COLUMBIA · PI PAVLIDIS, PAUL · 2016 to 2025
$3.6M
Transcriptome analysis in major depressionR01MH077159 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MCCLUNG, COLLEEN A, SIBILLE, ETIENNE L · 2007 to 2015
$3.2M
Neuroinformatics for gene expression: networks, function and meta-analysisR01GM076990 · NIGMS · UNIVERSITY OF BRITISH COLUMBIA · PI BIROL, INANC, PAVLIDIS, PAUL · 2005 to 2014
$2.0M
NIGMS NIH HHS R01 GM076990NIMH NIH HHS R01 MH077159NIMH NIH HHS R01 MH111099
6 · The paper itself

Abstract

Establishing the molecular diversity of cell types is crucial for the study of the nervous system. We compiled a cross-laboratory database of mouse brain cell type-specific transcriptomes from 36 major cell types from across the mammalian brain using rigorously curated published data from pooled cell type microarray and single-cell RNA-sequencing (RNA-seq) studies. We used these data to identify cell type-specific marker genes, discovering a substantial number of novel markers, many of which we validated using computational and experimental approaches. We further demonstrate that summarized expression of marker gene sets (MGSs) in bulk tissue data can be used to estimate the relative cell type abundance across samples. To facilitate use of this expanding resource, we provide a user-friendly web interface at www.neuroexpresso.org.

Indexed as

BrainDatabases, GeneticInternetTranscriptomeAnimalsMicecell typegene expressionmarker genemicroarrayRNA sequencing

Identifiers

PMID29204516
PMCPMC5707795

What OpenQuestion 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 OpenQuestion graph.