Evidence map›Paper›PMID 27577089›Full record

ArticleScientific reports2016

Cell types differ in global coordination of splicing and proportion of highly expressed genes.

Ephraim F Trakhtenberg, Nam Pho, Kristina M Holton, Thomas W Chittenden, Jeffrey L Goldberg, Lingsheng Dong

Open access · goldAbstract readComparative Study
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

20 citing papers in PubMed, 22 citations in OpenAlex.

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  14. Co-Expression Network Analysis of Spleen Transcriptome in Rock Bream (International journal of molecular sciences · 2020
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  18. Superheat: An R package for creating beautiful and extendable heatmaps for visualizing complex data.Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2018
    Article
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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

6 authors at 3 institutions in 1 country.

Ephraim F TrakhtenbergDepartment of Neurosurgery, F.M. Kirby Neurobiology Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
Nam PhoResearch Computing Group, Harvard Medical School, Boston, MA, USA.
Kristina M HoltonResearch Computing Group, Harvard Medical School, Boston, MA, USA.
Thomas W ChittendenResearch Computing Group, Harvard Medical School, Boston, MA, USA.
Jeffrey L GoldbergByers Eye Institute, Stanford University, Palo Alto, CA, USA.
Lingsheng DongResearch Computing Group, Harvard Medical School, Boston, MA, USA.
Harvard University · USBoston University · USSmith-Kettlewell Eye Research Institute · US

Funding

Orchestra: A high performance biomedical supercomputing collaborativeS10RR028832 · NCRR · HARVARD MEDICAL SCHOOL · PI DANUSER, GAUDENZ · 2010 to 2010
$3.7M
Function of MEF2 in Neuroprotection and Neuro-regeneration Following StrokeR01EY026766 · NEI · STANFORD UNIVERSITY · PI GOLDBERG, JEFFREY L, KAPILOFF, MICHAEL SETH · 2016 to 2020
$2.4M
NCRR NIH HHS S10 RR028832NEI NIH HHS R01 EY026766
6 · The paper itself

Abstract

Balance in the transcriptome is regulated by coordinated synthesis and degradation of RNA molecules. Here we investigated whether mammalian cell types intrinsically differ in global coordination of gene splicing and expression levels. We analyzed RNA-seq transcriptome profiles of 8 different purified mouse cell types. We found that different cell types vary in proportion of highly expressed genes and the number of alternatively spliced transcripts expressed per gene, and that the cell types that express more variants of alternatively spliced transcripts per gene are those that have higher proportion of highly expressed genes. Cell types segregated into two clusters based on high or low proportion of highly expressed genes. Biological functions involved in negative regulation of gene expression were enriched in the group of cell types with low proportion of highly expressed genes, and biological functions involved in regulation of transcription and RNA splicing were enriched in the group of cell types with high proportion of highly expressed genes. Our findings show that cell types differ in proportion of highly expressed genes and the number of alternatively spliced transcripts expressed per gene, which represent distinct properties of the transcriptome and may reflect intrinsic differences in global coordination of synthesis, splicing, and degradation of RNA molecules.

Indexed as

Alternative SplicingTranscriptomeAnimalsCells, CulturedEndothelial CellsGene Expression RegulationMice, TransgenicNeurogliaNeuronsSequence Analysis, RNA

Identifiers

PMID27577089
PMCPMC5006053
OpenAlexW2513916811

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.