Evidence map›Paper›PMID 18849986›Full record

ArticleNature neuroscience2008

Functional organization of the transcriptome in human brain.

Michael C Oldham, Genevieve Konopka, Kazuya Iwamoto, Peter Langfelder, Tadafumi Kato, Steve Horvath, Daniel H Geschwind

Open access · greenAbstract read
In one paragraph

Article in Nature neuroscience, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 470 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
470citing papers in PubMed, 5 pooled it
13.9field-weighted citation impact, top 1% 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

470 citing papers in PubMed, 5 syntheses or guidelines pooled it, 798 citations in OpenAlex.

  1. Pooled it
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  16. Identification ofFrontiers in aging neuroscience · 2026
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410 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 2 countries.

Michael C OldhamInterdepartmental Program for Neuroscience, University of California Los Angeles, Los Angeles, California 90095, USA. oldham@ucla.edu
Genevieve Konopka
Kazuya Iwamoto
Peter Langfelder
Tadafumi Kato
Steve Horvath
Daniel H Geschwind
University of California, Los Angeles · USRIKEN Center for Brain Science · JP

Funding

Identification and Characterization of Asymmetrically-Expressed GenesR37MH060233 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GESCHWIND, DANIEL H · 2006 to 2014
$5.3M
NIMH NIH HHS 5R37MH060233NIMH NIH HHS R37 MH060233
6 · The paper itself

Abstract

The enormous complexity of the human brain ultimately derives from a finite set of molecular instructions encoded in the human genome. These instructions can be directly studied by exploring the organization of the brain's transcriptome through systematic analysis of gene coexpression relationships. We analyzed gene coexpression relationships in microarray data generated from specific human brain regions and identified modules of coexpressed genes that correspond to neurons, oligodendrocytes, astrocytes and microglia. These modules provide an initial description of the transcriptional programs that distinguish the major cell classes of the human brain and indicate that cell type-specific information can be obtained from whole brain tissue without isolating homogeneous populations of cells. Other modules corresponded to additional cell types, organelles, synaptic function, gender differences and the subventricular neurogenic niche. We found that subventricular zone astrocytes, which are thought to function as neural stem cells in adults, have a distinct gene expression pattern relative to protoplasmic astrocytes. Our findings provide a new foundation for neurogenetic inquiries by revealing a robust and previously unrecognized organization to the human brain transcriptome.

Indexed as

BrainCaudate NucleusCerebellumCerebral CortexDatabases, GeneticGene ExpressionGene Expression ProfilingGene Regulatory NetworksHumansMicroarray AnalysisNeurogliaNeurons

Identifiers

PMID18849986
PMCPMC2756411
OpenAlexW2081837126

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.