Evidence map›Paper›PMID 27861625›Full record

ArticlePloS one2016

Computational Identification of Tissue-Specific Splicing Regulatory Elements in Human Genes from RNA-Seq Data.

Eman Badr, Mahmoud ElHefnawi, Lenwood S Heath

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.9field-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

18 citing papers in PubMed, 30 citations in OpenAlex.

  1. mRNA Isoforms and Variants in Health and Disease.International journal of molecular sciences · 2025
    Review
  2. mRNA Transcript Variants Expressed in Mammalian Cells.International journal of molecular sciences · 2025
    Review
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  16. Transcriptional Profiling of Host Cell Responses to VirulentInternational journal of molecular sciences · 2018
    Article
  17. The determinants of alternative RNA splicing in human cells.Molecular genetics and genomics : MGG · 2017
    Review
  18. Article
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

3 authors at 3 institutions in 2 countries.

Eman BadrDepartment of Information Technology, Faculty of Computers and Information, Cairo University, Giza, Egypt.
Mahmoud ElHefnawiCenter of Excellence for Advanced Sciences, Informatics and Systems Department, National Research Center, Cairo, Egypt.
Lenwood S HeathDepartment of Computer Science, Virginia Tech, Blacksburg, Virginia, United States of America.
Cairo University · EGNational Water Research Center · EGVirginia Tech · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alternative splicing is a vital process for regulating gene expression and promoting proteomic diversity. It plays a key role in tissue-specific expressed genes. This specificity is mainly regulated by splicing factors that bind to specific sequences called splicing regulatory elements (SREs). Here, we report a genome-wide analysis to study alternative splicing on multiple tissues, including brain, heart, liver, and muscle. We propose a pipeline to identify differential exons across tissues and hence tissue-specific SREs. In our pipeline, we utilize the DEXSeq package along with our previously reported algorithms. Utilizing the publicly available RNA-Seq data set from the Human BodyMap project, we identified 28,100 differentially used exons across the four tissues. We identified tissue-specific exonic splicing enhancers that overlap with various previously published experimental and computational databases. A complicated exonic enhancer regulatory network was revealed, where multiple exonic enhancers were found across multiple tissues while some were found only in specific tissues. Putative combinatorial exonic enhancers and silencers were discovered as well, which may be responsible for exon inclusion or exclusion across tissues. Some of the exonic enhancers are found to be co-occurring with multiple exonic silencers and vice versa, which demonstrates a complicated relationship between tissue-specific exonic enhancers and silencers.

Indexed as

Computational BiologyRegulatory Sequences, Nucleic AcidRNA SplicingSequence Analysis, RNAAlgorithmsAlternative SplicingDatabases, Nucleic AcidEnhancer Elements, GeneticExonsGene OntologyGene Regulatory NetworksHigh-Throughput Nucleotide SequencingHumansIntronsOrgan Specificity

Identifiers

PMID27861625
PMCPMC5115852
OpenAlexW2552612868

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.