Evidence map›Paper›PMID 28912564›Full record

ArticleScientific reports2017

Transcriptome analysis of developing lens reveals abundance of novel transcripts and extensive splicing alterations.

Rajneesh Srivastava, Gungor Budak, Soma Dash, Salil A Lachke, Sarath Chandra Janga

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

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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

22 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

5 authors.

Rajneesh SrivastavaDepartment of Biohealth Informatics, School of Informatics and Computing, Indiana University Purdue University, 719 Indiana Ave Ste 319, Walker Plaza Building, Indianapolis, Indiana, 46202, USA.
Gungor BudakDepartment of Biohealth Informatics, School of Informatics and Computing, Indiana University Purdue University, 719 Indiana Ave Ste 319, Walker Plaza Building, Indianapolis, Indiana, 46202, USA.
Soma DashDepartment of Biological Sciences, University of Delaware, Newark, DE, 19716, USA.
Salil A LachkeDepartment of Biological Sciences, University of Delaware, Newark, DE, 19716, USA.
Sarath Chandra JangaDepartment of Biohealth Informatics, School of Informatics and Computing, Indiana University Purdue University, 719 Indiana Ave Ste 319, Walker Plaza Building, Indianapolis, Indiana, 46202, USA. scjanga@iupui.edu.

Funding

POST TRANSCRIPTIONAL CONTROL OF GENE EXPRESSION IN THE LENS (LENS GENE EXPRESSIONR01EY021505 · NEI · WASHINGTON UNIVERSITY · PI LACHKE, SALIL · 2011 to 2024
$5.3M
Mapping RNA protein interaction networks in the human genomeR01GM123314 · NIGMS · INDIANA UNIVERSITY INDIANAPOLIS · PI JANGA, SARATH CHANDRA · 2017 to 2021
$1.7M
NEI NIH HHS R01 EY021505NIGMS NIH HHS R01 GM123314
6 · The paper itself

Abstract

Lens development involves a complex and highly orchestrated regulatory program. Here, we investigate the transcriptomic alterations and splicing events during mouse lens formation using RNA-seq data from multiple developmental stages, and construct a molecular portrait of known and novel transcripts. We show that the extent of novelty of expressed transcripts decreases significantly in post-natal lens compared to embryonic stages. Characterization of novel transcripts into partially novel transcripts (PNTs) and completely novel transcripts (CNTs) (novelty score ≥ 70%) revealed that the PNTs are both highly conserved across vertebrates and highly expressed across multiple stages. Functional analysis of PNTs revealed their widespread role in lens developmental processes while hundreds of CNTs were found to be widely expressed and predicted to encode for proteins. We verified the expression of four CNTs across stages. Examination of splice isoforms revealed skipped exon and retained intron to be the most abundant alternative splicing events during lens development. We validated by RT-PCR and Sanger sequencing, the predicted splice isoforms of several genes Banf1, Cdk4, Cryaa, Eif4g2, Pax6, and Rbm5. Finally, we present a splicing browser Eye Splicer ( http://www.iupui.edu/~sysbio/eye-splicer/ ), to facilitate exploration of developmentally altered splicing events and to improve understanding of post-transcriptional regulatory networks during mouse lens development.

Indexed as

Alternative SplicingGene Expression ProfilingTranscriptomeAnimalsComputational BiologyExonsGene Expression Regulation, DevelopmentalHigh-Throughput Nucleotide SequencingLens, CrystallineMiceMolecular Sequence AnnotationPhylogenyRNA IsoformsRNA Isoforms

Identifiers

PMID28912564
PMCPMC5599659

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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.