Evidence map›Paper›PMID 31366181›Full record

ArticleMethods and protocols2019

An Effective Protocol for Proteome Analysis of Medaka (

Yeni Pérez-Gélvez, Shem Unger, Gerardo Gutiérrez-Sánchez, Robert Bridger, Olin E Rhodes, Carl Bergmann

Abstract read
In one paragraph

Article in Methods and protocols, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Yeni Pérez-GélvezComplex Carbohydrate Research Center, The University of Georgia, Athens, GA 30602, USA. nataliap@uga.edu.
Shem UngerDepartment of Biology, Wingate University, Wingate, NC 28174, USA.
Gerardo Gutiérrez-SánchezExact Sciences Laboratories, 145 E Badger Rd Suite 100, Madison, WI 53713, USA.
Robert BridgerComplex Carbohydrate Research Center, The University of Georgia, Athens, GA 30602, USA.
Olin E RhodesComplex Carbohydrate Research Center, The University of Georgia, Athens, GA 30602, USA.
Carl BergmannComplex Carbohydrate Research Center, The University of Georgia, Athens, GA 30602, USA.

Funding

U.S. Department of Energy DE-EM0004391
6 · The paper itself

Abstract

All terrestrial organisms are subject to evolutionary pressures associated with natural sources of ionizing radiation (IR). The legacy of human-induced IR associated with energy, weapons production, medicine, and research has changed the distribution and magnitude of these evolutionary pressures. To date, no study has systematically examined the effects of environmentally relevant doses of radiation exposure across an organismal proteome. This void in knowledge has been due, in part, to technological deficiencies that have hampered quantifiable environmentally relevant IR doses and sensitive detection of proteomic responses. Here, we describe a protocol that addresses both needs, combining quantifiable IR delivery with a reliable method to yield proteomic comparisons of control and irradiated Medaka fish. Exposures were conducted at the Savannah River Ecology Laboratory (SREL, in Aiken, SC), where fish were subsequently dissected into three tissue sets (carcasses, organs and intestines) and frozen until analysis. Tissue proteins were extracted, resolved by Sodium Dodecyl Sulfate-Polyacrylamide Gel Electrophoresis (SDS-PAGE), and each sample lane was divided into ten equal portions. Following in-gel tryptic digestion, peptides released from each gel portion were identified and quantified by Liquid Chromatography-Mass Spectrometry (LC-MS/MS) to obtain the most complete, comparative study to date of proteomic responses to environmentally relevant doses of IR. This method provides a simple approach for use in ongoing epidemiologic studies of chronic exposure to environmentally relevant levels of IR and should also serve well in physiological, developmental, and toxicological studies.

Indexed as

in-gel digestionionizing radiationmedakaOryzias latipesproteome

Identifiers

PMID31366181
PMCPMC6789492

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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.