Evidence map›Paper›PMID 29036527›Full record

ArticleNucleic acids research2018

iSyTE 2.0: a database for expression-based gene discovery in the eye.

Atul Kakrana, Andrian Yang, Deepti Anand, Djordje Djordjevic, Deepti Ramachandruni, Abhyudai Singh, Hongzhan Huang, Joshua W K Ho, Salil A Lachke

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed, 2 pooled it
3.1field-weighted citation impact, top 7% 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

74 citing papers in PubMed, 2 syntheses or guidelines pooled it, 98 citations in OpenAlex.

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  11. A Single Cell Atlas of the Newt Iris During Lens Regeneration.bioRxiv : the preprint server for biology · 2025
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14 more citing papers are in PubMed but not listed here.

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 at 3 institutions in 2 countries.

Atul KakranaCenter for Bioinformatics and Computational Biology, University of Delaware, Newark, DE 19711, USA.
Andrian YangVictor Chang Cardiac Research Institute, Darlinghurst, NSW 2010, Australia.
Deepti AnandDepartment of Biological Sciences, University of Delaware, Newark, DE 19716, USA.
Djordje DjordjevicVictor Chang Cardiac Research Institute, Darlinghurst, NSW 2010, Australia.
Deepti RamachandruniDepartment of Biological Sciences, University of Delaware, Newark, DE 19716, USA.
Abhyudai SinghCenter for Bioinformatics and Computational Biology, University of Delaware, Newark, DE 19711, USA.
Hongzhan HuangCenter for Bioinformatics and Computational Biology, University of Delaware, Newark, DE 19711, USA.
Joshua W K HoVictor Chang Cardiac Research Institute, Darlinghurst, NSW 2010, Australia.
Salil A LachkeCenter for Bioinformatics and Computational Biology, University of Delaware, Newark, DE 19711, USA.
University of Delaware · USSt Vincent's Clinic · AUUNSW Sydney · AU

Funding

POST TRANSCRIPTIONAL CONTROL OF GENE EXPRESSION IN THE LENS (LENS GENE EXPRESSIONR01EY021505 · NEI · WASHINGTON UNIVERSITY · PI LACHKE, SALIL · 2011 to 2024
$5.3M
NEI NIH HHS R01 EY021505
6 · The paper itself

Abstract

Although successful in identifying new cataract-linked genes, the previous version of the database iSyTE (integrated Systems Tool for Eye gene discovery) was based on expression information on just three mouse lens stages and was functionally limited to visualization by only UCSC-Genome Browser tracks. To increase its efficacy, here we provide an enhanced iSyTE version 2.0 (URL: http://research.bioinformatics.udel.edu/iSyTE) based on well-curated, comprehensive genome-level lens expression data as a one-stop portal for the effective visualization and analysis of candidate genes in lens development and disease. iSyTE 2.0 includes all publicly available lens Affymetrix and Illumina microarray datasets representing a broad range of embryonic and postnatal stages from wild-type and specific gene-perturbation mouse mutants with eye defects. Further, we developed a new user-friendly web interface for direct access and cogent visualization of the curated expression data, which supports convenient searches and a range of downstream analyses. The utility of these new iSyTE 2.0 features is illustrated through examples of established genes associated with lens development and pathobiology, which serve as tutorials for its application by the end-user. iSyTE 2.0 will facilitate the prioritization of eye development and disease-linked candidate genes in studies involving transcriptomics or next-generation sequencing data, linkage analysis and GWAS approaches.

Indexed as

Databases, GeneticGene ExpressionAnimalsCataractDatasets as TopicDisease Models, AnimalEye ProteinsForecastingGene Expression ProfilingGene Regulatory NetworksGenetic Association StudiesGenome-Wide Association StudyHumansLens, CrystallineMiceMice, Mutant StrainsEye Proteins

Identifiers

PMID29036527
PMCPMC5753381
OpenAlexW2755065437

What OpenQuestion holds

Textmetadata
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.