Evidence map›Paper›PMID 23951329›Full record

ArticlePloS one2013

RNA-seq characterization of spinal cord injury transcriptome in acute/subacute phases: a resource for understanding the pathology at the systems level.

Kenian Chen, Shuyun Deng, Hezuo Lu, Yiyan Zheng, Guodong Yang, Dong Kim, Qilin Cao, Jia Qian Wu

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 14% 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

61 citing papers in PubMed, 1 synthesis or guideline pooled it, 86 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Review
  20. Article

1 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

8 authors at 1 institution in 1 country.

Kenian ChenVivian L. Smith Department of Neurosurgery, University of Texas Medical School at Houston, Houston, Texas, USA.
Shuyun Deng
Hezuo Lu
Yiyan Zheng
Guodong Yang
Dong Kim
Qilin Cao
Jia Qian Wu
Texas Medical Center · US

Funding

Combinatory strategies to functional remyelination after spinal cord injuryR01NS061975 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI CAO, QI LIN · 2008 to 2012
$1.6M
Integrated Analysis of Hematopoietic Precursor Self-renewal and DifferentiationR00HL093213 · NHLBI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI WU-HUBER, JIAQIAN · 2011 to 2013
$717k
NHLBI NIH HHS R00 HL093213NINDS NIH HHS NS061975NINDS NIH HHS R01 NS061975
6 · The paper itself

Abstract

Spinal cord injury (SCI) is a devastating neurological disease without effective treatment. To generate a comprehensive view of the mechanisms involved in SCI pathology, we applied RNA-Sequencing (RNA-Seq) technology to characterize the temporal changes in global gene expression after contusive SCI in mice. We sequenced tissue samples from acute and subacute phases (2 days and 7 days after injury) and systematically characterized the transcriptomes with the goal of identifying pathways and genes critical in SCI pathology. The top enriched functional categories include "inflammation response," "neurological disease," "cell death and survival" and "nervous system development." The top enriched pathways include LXR/RXR Activation and Atherosclerosis Signaling, etc. Furthermore, we developed a systems-based analysis framework in order to identify key determinants in the global gene networks of the acute and sub-acute phases. Some candidate genes that we identified have been shown to play important roles in SCI, which demonstrates the validity of our approach. There are also many genes whose functions in SCI have not been well studied and can be further investigated by future experiments. We have also incorporated pharmacogenomic information into our analyses. Among the genes identified, the ones with existing drug information can be readily tested in SCI animal models. Therefore, in this study we have described an example of how global gene profiling can be translated to identifying genes of interest for functional tests in the future and generating new hypotheses. Additionally, the RNA-Seq enables splicing isoform identification and the estimation of expression levels, thus providing useful information for increasing the specificity of drug design and reducing potential side effect. In summary, these results provide a valuable reference data resource for a better understanding of the SCI process in the acute and sub-acute phases.

Indexed as

Gene ExpressionGene Regulatory NetworksTranscriptomeAnimalsFemaleGene Expression ProfilingInflammationMiceMice, Inbred C57BLMolecular Sequence AnnotationOligonucleotide Array Sequence AnalysisRNA IsoformsRNA, MessengerRNA SplicingSequence Analysis, RNASpinal Cord InjuriesRNA IsoformsRNA, Messenger

Identifiers

PMID23951329
PMCPMC3739761
OpenAlexW2050637346

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.