Evidence map›Paper›PMID 31797049›Full record

ArticleHuman genetics2020

MS/MS in silico subtraction-based proteomic profiling as an approach to facilitate disease gene discovery: application to lens development and cataract.

Sandeep Aryal, Deepti Anand, Francisco G Hernandez, Bailey A T Weatherbee, Hongzhan Huang, Ashok P Reddy, Phillip A Wilmarth, Larry L David, Salil A Lachke

Open access · greenAbstract read
In one paragraph

Article in Human genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 26% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
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  16. Modeling ocular lens disease in Xenopus.Developmental dynamics : an official publication of the American Association of Anatomists · 2020
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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 at 2 institutions in 1 country.

Sandeep AryalDepartment of Biological Sciences, University of Delaware, 105 The Green, Delaware Avenue, 236 Wolf Hall, Newark, DE, USA.
Deepti AnandDepartment of Biological Sciences, University of Delaware, 105 The Green, Delaware Avenue, 236 Wolf Hall, Newark, DE, USA.
Francisco G HernandezDepartment of Biological Sciences, University of Delaware, 105 The Green, Delaware Avenue, 236 Wolf Hall, Newark, DE, USA.
Bailey A T WeatherbeeDepartment of Biological Sciences, University of Delaware, 105 The Green, Delaware Avenue, 236 Wolf Hall, Newark, DE, USA.
Hongzhan HuangCenter for Bioinformatics and Computational Biology, University of Delaware, Newark, DE, 19716, USA.
Ashok P ReddyProteomics Shared Resource, Oregon Health and Science University, Portland, OR, 97239, USA.
Phillip A WilmarthProteomics Shared Resource, Oregon Health and Science University, Portland, OR, 97239, USA.
Larry L DavidProteomics Shared Resource, Oregon Health and Science University, Portland, OR, 97239, USA.
Salil A LachkeDepartment of Biological Sciences, University of Delaware, 105 The Green, Delaware Avenue, 236 Wolf Hall, Newark, DE, USA. salil@udel.edu.ORCID http://orcid.org/0000-0001-8845-010X
University of Delaware · USOregon Health & Science University · US

Funding

Predictive Modeling & Optimal Control Framework for Model-Based Epidemic Response in DelawareP20GM103446 · NIGMS · UNIVERSITY OF DELAWARE · PI MELINDA K DUNCAN · 2012 to 2026
$67.2M
Understanding the origins of rapid recurrence of pancreatic cancer after resectionP30CA069533 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Michael Tworoger · 1997 to 2026
$60.5M
Proteomics CoreP30EY010572 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI TED S ACOTT · 1995 to 2026
$19.4M
POST TRANSCRIPTIONAL CONTROL OF GENE EXPRESSION IN THE LENS (LENS GENE EXPRESSIONR01EY021505 · NEI · WASHINGTON UNIVERSITY · PI LACHKE, SALIL · 2011 to 2024
$5.3M
RNA-binding proteins in early eye development.R01EY029770 · NEI · UNIVERSITY OF DELAWARE · PI LACHKE, SALIL · 2019 to 2023
$1.7M
LTQ Orbitrap VelosS10OD012246 · OD · OREGON HEALTH & SCIENCE UNIVERSITY · PI DAVID, LARRY L · 2012 to 2012
$854k
Acquisition of a Zeiss LSM710 Confocal MicroscopeS10RR027273 · NCRR · UNIVERSITY OF DELAWARE · PI DUNCAN, MELINDA K · 2010 to 2010
$494k
NCI NIH HHS P30 CA069533NCRR NIH HHS S10 RR027273NEI NIH HHS P30 EY010572NEI NIH HHS R01 EY021505NEI NIH HHS R01 EY029770NIGMS NIH HHS P20 GM103446NIH HHS P30 CA069533NIH HHS S10 OD012246NIH HHS S10OD-012246
6 · The paper itself

Abstract

While the bioinformatics resource-tool iSyTE (integrated Systems Tool for Eye gene discovery) effectively identifies human cataract-associated genes, it is currently based on just transcriptome data, and thus, it is necessary to include protein-level information to gain greater confidence in gene prioritization. Here, we expand iSyTE through development of a novel proteome-based resource on the lens and demonstrate its utility in cataract gene discovery. We applied high-throughput tandem mass spectrometry (MS/MS) to generate a global protein expression profile of mouse lens at embryonic day (E)14.5, which identified 2371 lens-expressed proteins. A major challenge of high-throughput expression profiling is identification of high-priority candidates among the thousands of expressed proteins. To address this problem, we generated new MS/MS proteome data on mouse whole embryonic body (WB). WB proteome was then used as a reference dataset for performing "in silico WB-subtraction" comparative analysis with the lens proteome, which effectively identified 422 proteins with lens-enriched expression at ≥ 2.5 average spectral counts, ≥ 2.0 fold enrichment (FDR < 0.01) cut-off. These top 20% candidates represent a rich pool of high-priority proteins in the lens including known human cataract-linked genes and many new potential regulators of lens development and homeostasis. This rich information is made publicly accessible through iSyTE (https://research.bioinformatics.udel.edu/iSyTE/), which enables user-friendly visualization of promising candidates, thus making iSyTE a comprehensive tool for cataract gene discovery.

Indexed as

Computer SimulationAnimalsBiomarkersCataractComputational BiologyEye ProteinsGene Expression ProfilingHumansLens, CrystallineMiceMice, Inbred C57BLProteomeTandem Mass SpectrometryTranscriptomeBiomarkersEye ProteinsProteome

Identifiers

PMID31797049
PMCPMC6983357
OpenAlexW2992784601

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.