Evidence map›Paper›PMID 29862458›Full record

ArticleMolecular neurobiology2019

Deep Sequencing Reveals Uncharted Isoform Heterogeneity of the Protein-Coding Transcriptome in Cerebral Ischemia.

Sunil Bhattarai, Ahmed Aly, Kristy Garcia, Diandra Ruiz, Fabrizio Pontarelli, Ashutosh Dharap

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular neurobiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
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

6 authors.

Sunil BhattaraiLaboratory for Stroke Research and Noncoding RNA Biology, JFK Neuroscience Institute, HackensackMeridian Health JFK Medical Center, 65 James Street, Edison, NJ, 08820, USA.
Ahmed AlyLaboratory for Stroke Research and Noncoding RNA Biology, JFK Neuroscience Institute, HackensackMeridian Health JFK Medical Center, 65 James Street, Edison, NJ, 08820, USA.
Kristy GarciaLaboratory for Stroke Research and Noncoding RNA Biology, JFK Neuroscience Institute, HackensackMeridian Health JFK Medical Center, 65 James Street, Edison, NJ, 08820, USA.
Diandra RuizLaboratory for Stroke Research and Noncoding RNA Biology, JFK Neuroscience Institute, HackensackMeridian Health JFK Medical Center, 65 James Street, Edison, NJ, 08820, USA.
Fabrizio PontarelliLaboratory for Stroke Research and Noncoding RNA Biology, JFK Neuroscience Institute, HackensackMeridian Health JFK Medical Center, 65 James Street, Edison, NJ, 08820, USA.
Ashutosh DharapLaboratory for Stroke Research and Noncoding RNA Biology, JFK Neuroscience Institute, HackensackMeridian Health JFK Medical Center, 65 James Street, Edison, NJ, 08820, USA. ashutosh.dharap@hackensackmeridian.org.ORCID http://orcid.org/0000-0001-5223-3197

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene expression in cerebral ischemia has been a subject of intense investigations for several years. Studies utilizing probe-based high-throughput methodologies such as microarrays have contributed significantly to our existing knowledge but lacked the capacity to dissect the transcriptome in detail. Genome-wide RNA-sequencing (RNA-seq) enables comprehensive examinations of transcriptomes for attributes such as strandedness, alternative splicing, alternative transcription start/stop sites, and sequence composition, thus providing a very detailed account of gene expression. Leveraging this capability, we conducted an in-depth, genome-wide evaluation of the protein-coding transcriptome of the adult mouse cortex after transient focal ischemia at 6, 12, or 24 h of reperfusion using RNA-seq. We identified a total of 1007 transcripts at 6 h, 1878 transcripts at 12 h, and 1618 transcripts at 24 h of reperfusion that were significantly altered as compared to sham controls. With isoform-level resolution, we identified 23 splice variants arising from 23 genes that were novel mRNA isoforms. For a subset of genes, we detected reperfusion time-point-dependent splice isoform switching, indicating an expression and/or functional switch for these genes. Finally, for 286 genes across all three reperfusion time-points, we discovered multiple, distinct, simultaneously expressed and differentially altered isoforms per gene that were generated via alternative transcription start/stop sites. Of these, 165 isoforms derived from 109 genes were novel mRNAs. Together, our data unravel the protein-coding transcriptome of the cerebral cortex at an unprecedented depth to provide several new insights into the flexibility and complexity of stroke-related gene transcription and transcript organization.

Indexed as

Genetic HeterogeneityAlternative SplicingAnimalsBrain IschemiaCerebral InfarctionGene Expression ProfilingHigh-Throughput Nucleotide SequencingMaleMice, Inbred C57BLProtein IsoformsSequence Analysis, RNAStrokeTranscriptomeProtein IsoformsCerebral cortexGene expressionIschemiaMouseRNA-sequencing

Identifiers

What OpenQuestion holds

Textmetadata
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.