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使用S-trap和iTRAQ技术对斑马鱼（Danio rerio）进行饲养策略和蛋白质组学分析的方案。

Protocol for feeding strategy and proteomics analysis of zebrafish Danio rerio using S-trap and iTRAQ techniques.

作者信息

Purushothaman Kathiresan, Kaul Daanish, Rwei Qing Saraphina Dianne Tneo, Rocha Sérgio D C, Göksu Aleksandar B, Morales Lange Byron, Mydland Liv Torunn, Vij Shubha, Qingsong Lin, Øverland Margareth, Press Charles McL

机构信息

Department of Preclinical Sciences and Pathology, Faculty of Veterinary Medicine, Norwegian University of Life Sciences, Ås, Norway; Tropical Futures Institute, James Cook University Singapore, 149 Sims Drive, Singapore 387380, Singapore; School of Applied Science, Republic Polytechnic, 9 Woodlands Avenue 9, Singapore 738964, Singapore.

Ramjas College, University of Delhi, University Enclave, Delhi 110007, India; Department of Biological Sciences, National University of Singapore, 14 Science Drive 4, Singapore 117543, Singapore.

出版信息

STAR Protoc. 2024 Dec 20;5(4):103513. doi: 10.1016/j.xpro.2024.103513. Epub 2024 Dec 10.

DOI:10.1016/j.xpro.2024.103513
PMID:39661508
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11697601/
Abstract

Yeast serves as a functional alternative and sustainable protein source in aquaculture. This protocol outlines feeding strategy and intestinal proteome analysis of zebrafish (Danio rerio), using S-trap for digestion, iTRAQ, and mass spectrometry for protein quantification. Additionally, it details the analysis of chemical components in feed and functional assessments via Kyoto Encyclopedia of Genes and Genomes (KEGG), Eukaryotic Orthologous Group (KOG), and Gene Ontology (GO). For complete details on the use and execution of this protocol, please refer to Purushothaman et al..

摘要

酵母可作为水产养殖中一种功能性的替代可持续蛋白质来源。本方案概述了斑马鱼（Danio rerio）的喂养策略和肠道蛋白质组分析，使用S-trap进行消化、iTRAQ以及用质谱法进行蛋白质定量。此外，还详细介绍了饲料化学成分分析以及通过京都基因与基因组百科全书（KEGG）、真核直系同源组（KOG）和基因本体论（GO）进行功能评估。有关本方案使用和执行的完整详细信息，请参考Purushothaman等人的研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7a94/11697601/571dd3155e00/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7a94/11697601/571dd3155e00/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7a94/11697601/571dd3155e00/fx1.jpg

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Poult Sci. 2023 Dec;102(12):103127. doi: 10.1016/j.psj.2023.103127. Epub 2023 Sep 18.
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