Evidence map›Paper›PMID 26228476›Full record

ArticleDong wu xue yan jiu = Zoological research2015

Extraction and identification of membrane proteins from black widow spider eggs.

Si-Ling Fu, Jiang-Lin Li, Jia Chen, Qiu-Ting Wang, Jian-Jun Li, Xian-Chun Wang

Open access · greenAbstract read
In one paragraph

Article in Dong wu xue yan jiu = Zoological research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 38% of its field
1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 2 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Si-Ling FuKey Laboratory of Protein Chemistry and Developmental Biology of Ministry of Education of China, Hunan Normal University, Changsha 410081, China.
Jiang-Lin LiMolecular Sciences and Biomedicine Laboratory, State Key Laboratory for Chemo/Biosensing and Chemometrics, College of Biology, Collaborative Innovation Center for Chemistry and Molecular Medicine, Hunan University, Changsha 410082, China.
Jia ChenKey Laboratory of Protein Chemistry and Developmental Biology of Ministry of Education of China, Hunan Normal University, Changsha 410081, China.
Qiu-Ting WangKey Laboratory of Protein Chemistry and Developmental Biology of Ministry of Education of China, Hunan Normal University, Changsha 410081, China.
Jian-Jun LiKey Laboratory of Protein Chemistry and Developmental Biology of Ministry of Education of China, Hunan Normal University, Changsha 410081, China.
Xian-Chun WangKey Laboratory of Protein Chemistry and Developmental Biology of Ministry of Education of China, Hunan Normal University, Changsha 410081, China.wang_xianchun@263.net.
Hunan Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The eggs of oviparous animals are storehouses of maternal proteins required for embryonic development. Identification and molecular characterization of such proteins will provide much insight into the regulation of embryonic development. We previously analyzed soluble proteins in the eggs of the black widow spider (Latrodectus tredecimguttatus), and report here on the extraction and mass spectrometric identification of the egg membrane proteins. Comparison of different lysis solutions indicated that the highest extraction of the membrane proteins was achieved with 3%-4% sodium laurate in 40 mmol/L Tris-HCl buffer containing 4% CHAPS and 2% DTT (pH 7.4). SDS-PAGE combined with nLC-MS/MS identified 39 proteins with membrane-localization annotation, including those with structural, catalytic, and regulatory activities. Nearly half of the identified membrane proteins were metabolic enzymes involved in various cellular processes, particularly energy metabolism and biosynthesis, suggesting that relevant metabolic processes were active during the embryonic development of the eggs. Several identified cell membrane proteins were involved in the special structure formation and function of the egg cell membranes. The present proteomic analysis of the egg membrane proteins provides new insight into the molecular mechanisms of spider embryonic development.

Indexed as

AnimalsBlack Widow SpiderMembrane ProteinsOvumProteomicsMembrane ProteinsEggExtractionIdentificationLatrodectus tredecimguttatusMembrane protein

Identifiers

PMID26228476
PMCPMC4790261
OpenAlexW2416012225

What OpenQuestion holds

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Registered trials

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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.