Evidence map›Paper›PMID 27097852›Full record

ArticleNature communications2016

Untangling the brain's neuroinflammatory and neurodegenerative transcriptional responses.

Karpagam Srinivasan, Brad A Friedman, Jessica L Larson, Benjamin E Lauffer, Leonard D Goldstein, Laurie L Appling, Jovencio Borneo, Chungkee Poon, Terence Ho, Fang Cai and 5 more

Abstract read
In one paragraph

Article in Nature communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 208 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
208citing papers in PubMed, 6 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

208 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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148 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

15 authors.

Karpagam SrinivasanDepartment of Neuroscience, Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, USA.
Brad A FriedmanDepartment of Bioinformatics, Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, USA.
Jessica L LarsonDepartment of Bioinformatics, Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, USA.
Benjamin E LaufferDepartment of Neuroscience, Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, USA.
Leonard D GoldsteinDepartment of Bioinformatics, Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, USA.
Laurie L ApplingDepartment of Immunology, Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, USA.
Jovencio BorneoDepartment of Immunology, Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, USA.
Chungkee PoonDepartment of Immunology, Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, USA.
Terence HoDepartment of Immunology, Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, USA.
Fang CaiDepartment of Diagnostics, Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, USA.
Pascal SteinerDepartment of Neuroscience, Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, USA.
Marcel P van der BrugDepartment of Diagnostics, Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, USA.
Zora ModrusanDepartment of Molecular Biology, Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, USA.
Joshua S KaminkerDepartment of Bioinformatics, Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, USA.
David V HansenDepartment of Neuroscience, Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, USA.ORCID http://orcid.org/0000-0001-9679-7189

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A common approach to understanding neurodegenerative disease is comparing gene expression in diseased versus healthy tissues. We illustrate that expression profiles derived from whole tissue RNA highly reflect the degenerating tissues' altered cellular composition, not necessarily transcriptional regulation. To accurately understand transcriptional changes that accompany neuropathology, we acutely purify neurons, astrocytes and microglia from single adult mouse brains and analyse their transcriptomes by RNA sequencing. Using peripheral endotoxemia to establish the method, we reveal highly specific transcriptional responses and altered RNA processing in each cell type, with Tnfr1 required for the astrocytic response. Extending the method to an Alzheimer's disease model, we confirm that transcriptomic changes observed in whole tissue are driven primarily by cell type composition, not transcriptional regulation, and identify hundreds of cell type-specific changes undetected in whole tissue RNA. Applying similar methods to additional models and patient tissues will transform our understanding of aberrant gene expression in neurological disease.

Indexed as

Transcription, GeneticTranscriptomeAdultAlzheimer DiseaseAnimalsAstrocytesCerebellumDisease Models, AnimalEndotoxemiaFrontal LobeGene Expression ProfilingGene Expression RegulationHumansLipopolysaccharidesMiceMicrogliaLipopolysaccharidesNerve Tissue ProteinsReceptors, Tumor Necrosis Factor, Type ITnfrsf1a protein, mouse

Identifiers

PMID27097852
PMCPMC4844685

What OpenQuestion holds

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Registered trials

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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.