Evidence map›Paper›PMID 24307554›Full record

ArticleGenome research2014

Endothelial, epithelial, and fibroblast cells exhibit specific splicing programs independently of their tissue of origin.

Pierre Mallinjoud, Jean-Philippe Villemin, Hussein Mortada, Micaela Polay Espinoza, François-Olivier Desmet, Samaan Samaan, Emilie Chautard, Léon-Charles Tranchevent, Didier Auboeuf

Abstract read
In one paragraph

Article in Genome research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

46 citing papers in PubMed.

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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

9 authors.

Pierre MallinjoudInserm UMR-S1052, Centre de Recherche en Cancérologie de Lyon, 69008 Lyon, France;
Jean-Philippe Villemin
Hussein Mortada
Micaela Polay Espinoza
François-Olivier Desmet
Samaan Samaan
Emilie Chautard
Léon-Charles Tranchevent
Didier Auboeuf

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alternative splicing is the main mechanism of increasing the proteome diversity coded by a limited number of genes. It is well established that different tissues or organs express different splicing variants. However, organs are composed of common major cell types, including fibroblasts, epithelial, and endothelial cells. By analyzing large-scale data sets generated by The ENCODE Project Consortium and after extensive RT-PCR validation, we demonstrate that each of the three major cell types expresses a specific splicing program independently of its organ origin. Furthermore, by analyzing splicing factor expression across samples, publicly available splicing factor binding site data sets (CLIP-seq), and exon array data sets after splicing factor depletion, we identified several splicing factors, including ESRP1 and 2, MBNL1, NOVA1, PTBP1, and RBFOX2, that contribute to establishing these cell type-specific splicing programs. All of the analyzed data sets are freely available in a user-friendly web interface named FasterDB, which describes all known splicing variants of human and mouse genes and their splicing patterns across several dozens of normal and cancer cells as well as across tissues. Information regarding splicing factors that potentially contribute to individual exon regulation is also provided via a dedicated CLIP-seq and exon array data visualization interface. To the best of our knowledge, FasterDB is the first database integrating such a variety of large-scale data sets to enable functional genomics analyses at exon-level resolution.

Indexed as

Alternative SplicingAnimalsCell Line, TumorEpithelial CellsExonsFibroblastsGene Expression ProfilingHumansHuman Umbilical Vein Endothelial CellsMCF-7 CellsMiceOligonucleotide Array Sequence AnalysisRNA-Binding ProteinsSoftwareUser-Computer InterfaceRNA-Binding Proteins

Identifiers

PMID24307554
PMCPMC3941115

What OpenQuestion holds

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LicenceCC BY-NC
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.