Evidence map›Paper›PMID 30277459›Full record

ArticleeLife2018

Integrated systems analysis reveals conserved gene networks underlying response to spinal cord injury.

Jordan W Squair, Seth Tigchelaar, Kyung-Mee Moon, Jie Liu, Wolfram Tetzlaff, Brian K Kwon, Andrei V Krassioukov, Christopher R West, Leonard J Foster, Michael A Skinnider

Open access · goldAbstract read
In one paragraph

Article in eLife, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 11% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

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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

10 authors at 1 institution in 1 country.

Jordan W Squair *International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, Canada.
Seth TigchelaarInternational Collaboration on Repair Discoveries, University of British Columbia, Vancouver, Canada.
Kyung-Mee MoonCentre for High-Throughput Biology, University of British Columbia, Vancouver, Canada.
Jie LiuInternational Collaboration on Repair Discoveries, University of British Columbia, Vancouver, Canada.
Wolfram TetzlaffInternational Collaboration on Repair Discoveries, University of British Columbia, Vancouver, Canada.ORCID http://orcid.org/0000-0003-3462-1676
Brian K KwonInternational Collaboration on Repair Discoveries, University of British Columbia, Vancouver, Canada.
Andrei V KrassioukovInternational Collaboration on Repair Discoveries, University of British Columbia, Vancouver, Canada.
Christopher R WestInternational Collaboration on Repair Discoveries, University of British Columbia, Vancouver, Canada.
Leonard J FosterCentre for High-Throughput Biology, University of British Columbia, Vancouver, Canada.ORCID http://orcid.org/0000-0001-8551-4817
Michael A Skinnider *Centre for High-Throughput Biology, University of British Columbia, Vancouver, Canada.ORCID https://orcid.org/0000-0002-2168-1621
University of British Columbia · CA

Funding

CIHR Frederick Banting and Charles Best Canada Graduate ScholarshipCIHR MOP77688CIHR Vanier Canada Graduate ScholarshipGenome Canada/Genome British Columbia 214PROMichael Smith Foundation for Health Research Scholar awardUniversity of British Columbia Four Year FellowshipVancouver Coastal Health-CIHR-UBC MD/PhD Studentship
6 · The paper itself

Abstract

Spinal cord injury (SCI) is a devastating neurological condition for which there are currently no effective treatment options to restore function. A major obstacle to the development of new therapies is our fragmentary understanding of the coordinated pathophysiological processes triggered by damage to the human spinal cord. Here, we describe a systems biology approach to integrate decades of small-scale experiments with unbiased, genome-wide gene expression from the human spinal cord, revealing a gene regulatory network signature of the pathophysiological response to SCI. Our integrative analyses converge on an evolutionarily conserved gene subnetwork enriched for genes associated with the response to SCI by small-scale experiments, and whose expression is upregulated in a severity-dependent manner following injury and downregulated in functional recovery. We validate the severity-dependent upregulation of this subnetwork in rodents in primary transcriptomic and proteomic studies. Our analysis provides systems-level view of the coordinated molecular processes activated in response to SCI.

Indexed as

Gene Regulatory NetworksTranscriptomeAnimalsGene Expression ProfilingHumansMiceProteomicsRatsRecovery of FunctionSpecies SpecificitySpinal Cord InjuriesSystems Biologycomputational biologyhumanmouseneuroscienceratspinal cord injurysystems biologysystems geneticstranscriptome

Identifiers

PMID30277459
PMCPMC6173583
OpenAlexW2894963879

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.