Evidence map›Paper›PMID 25478318›Full record

ArticleGenomics data2014

Development of novel filtering criteria to analyze RNA-sequencing data obtained from the murine ocular lens during embryogenesis.

Abby L Manthey, Anne M Terrell, Salil A Lachke, Shawn W Polson, Melinda K Duncan

Open access · goldAbstract read
In one paragraph

Article in Genomics data, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

21 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
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  9. The aging mouse lens transcriptome.Experimental eye research · 2021
    Article
  10. Article
  11. Fibronectin has multifunctional roles in posterior capsular opacification (PCO).Matrix biology : journal of the International Society for Matrix Biology · 2020
    Article
  12. Article
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  17. Review
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  19. Deficiency of the RNA binding protein caprin2 causes lens defects and features of Peters anomaly.Developmental dynamics : an official publication of the American Association of Anatomists · 2015
    Article
  20. 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

5 authors at 1 institution in 1 country.

Abby L MantheyDepartment of Biological Sciences, University of Delaware, Newark, DE, USA.
Anne M TerrellDepartment of Biological Sciences, University of Delaware, Newark, DE, USA.
Salil A LachkeDepartment of Biological Sciences, University of Delaware, Newark, DE, USA.
Shawn W PolsonCenter for Bioinformatics and Computational Biology, University of Delaware, Newark, DE, USA.
Melinda K DuncanDepartment of Biological Sciences, University of Delaware, Newark, DE, USA.
University of Delaware · US

Funding

Predictive Modeling & Optimal Control Framework for Model-Based Epidemic Response in DelawareP20GM103446 · NIGMS · UNIVERSITY OF DELAWARE · PI Anjana Narayan Bhat · 2012 to 2026
$67.2M
POST TRANSCRIPTIONAL CONTROL OF GENE EXPRESSION IN THE LENS (LENS GENE EXPRESSIONR01EY021505 · NEI · WASHINGTON UNIVERSITY · PI LACHKE, SALIL · 2011 to 2024
$5.3M
CHEMISTRY-BIOLOGY INTERFACE PREDOCTORAL TRAININGT32GM008550 · NIGMS · UNIVERSITY OF DELAWARE · PI BAHNSON, BRIAN J · 1994 to 2018
$5.0M
The Regulation of Lens Fiber Cell DifferentiationR01EY012221 · NEI · UNIVERSITY OF DELAWARE · PI DUNCAN, MELINDA K · 1998 to 2012
$3.7M
NEI NIH HHS R01 EY012221NEI NIH HHS R01 EY021505NIGMS NIH HHS P20 GM103446NIGMS NIH HHS T32 GM008550
6 · The paper itself

Abstract

Next-generation sequencing of the transcriptome (RNA-Seq) is a powerful method that allows for the quantitative determination of absolute gene expression, and can be used to investigate how these levels change in response to an experimental manipulation or disease condition. The sensitivity of this method allows one to analyze transcript levels of all expressed genes, including low abundance transcripts that encode important regulatory molecules, providing valuable insights into the global effects of experimental manipulations. However, this increased sensitivity can also make it challenging to ascertain which expression changes are biologically significant. Here, we describe a novel set of filtering criteria - based on biological insights and computational approaches - that were applied to prioritize genes for further study from an extensive number of differentially expressed transcripts in lenses lacking Smad interacting protein 1 (Sip1) obtained via RNA-Seq by Manthey and colleagues in

Identifiers

PMID25478318
PMCPMC4248573
OpenAlexW2084652964

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.