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基于iTRAQ的蛋白质组学数据集,用于研究含高、低雌二醇水平的牛排卵前血浆和卵泡液。

iTRAQ-Based proteomic dataset for bovine pre-ovulatory plasma and follicular fluid containing high and low Estradiol.

作者信息

Afedi P A, Larimore E L, Cushman R A, Raynie D, Perry G A

机构信息

Department of Chemistry and Biochemistry, South Dakota State University, Brookings, South Dakota, USA.

Department of Animal Science, South Dakota State University, Brookings, South Dakota, USA.

出版信息

Data Brief. 2021 Mar 26;36:106998. doi: 10.1016/j.dib.2021.106998. eCollection 2021 Jun.

DOI:10.1016/j.dib.2021.106998
PMID:33869699
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8047177/
Abstract

This is isobaric tags for a relative and absolute quantification (iTRAQ)-Based Proteomic Data on bovine plasma (PL) and follicular fluid (FF) containing high and low pre-ovulatory circulating concentration of estradiol (E2). The PL and FF were collected from nine beef cows that were identified to initiate a new follicular wave on day -4 during synchronization. Follicular dynamics and ovulatory response were monitored using transrectal ultrasonography. Blood samples were collected at slaughter and FF was aspirated from dominant follicles (DF; >10 mm). Estradiol concentrations in PL and FF were measured by radioimmunoassays. Plasma and FF were labeled as containing high E2 (PL HE2 and FF HE2) or low E2 (PL LE2 and FF LE2). Abundant proteins (albumin, IgG, IgA, and alpha-1-antitrypsin) were depleted from the four PL and FF samples. Peptides were labeled with iTRAQ reagents and analyzed using 2-dimentional liquid chromatography ESI-based mass spectrometry. Proteins were identified and quantified using SEQUEST search engine embedded in Proteome Discoverer. The proteins matched with at least one unique peptide at minimum 95% confidence were considered positive identifications. Protein expression levels were determined by assigned fold change of >2.0 or <0.5 between any pair from the four sample types. The paired comparisons made were PL HE2 and PL LE2, FF HE2 and FF LE2, PL HE2 and FF HE2, and PL LE2 and FF LE2. Protein Analysis Through Evolutionary Relationships (PANTHER) and Database for Annotation, Visualization and Integrated Discovery (DAVID) were used to classify protein functions. This dataset includes the overview of workflow for identification and quantification of proteins and details on 231 proteins identified which includes 103 up- and down-regulate proteins. This dataset can be useful for further probing of the identified regulated proteins to better understand folliculogenesis and ovulation, particularly in bovine. This dataset is related to the article 'iTRAQ-Based Proteomic Analysis of Bovine Pre-ovulatory Plasma and Follicular Fluid' by P. A. Afedi, E. L. Larimore, R. A. Cushman, D. Raynie, G. A. Perry. Domestic Animal Endocrinology. https://doi.org/10.1016/j.domaniend.2021.106606.

摘要

这是基于等压标签相对和绝对定量(iTRAQ)的蛋白质组学数据,涉及含有高和低排卵前循环雌二醇(E2)浓度的牛血浆(PL)和卵泡液(FF)。PL和FF取自9头肉牛,这些牛在同步化期间的第 -4天被确定开始新的卵泡波。使用经直肠超声监测卵泡动态和排卵反应。屠宰时采集血样,并从优势卵泡(DF;>10毫米)中抽吸FF。通过放射免疫测定法测量PL和FF中的雌二醇浓度。血浆和FF被标记为含有高E2(PL HE2和FF HE2)或低E2(PL LE2和FF LE2)。从四个PL和FF样本中去除了丰富的蛋白质(白蛋白、IgG、IgA和α-1-抗胰蛋白酶)。肽段用iTRAQ试剂标记,并使用基于二维液相色谱电喷雾的质谱进行分析。使用嵌入在Proteome Discoverer中的SEQUEST搜索引擎对蛋白质进行鉴定和定量。与至少一个独特肽段匹配且置信度至少为95%的蛋白质被视为阳性鉴定。蛋白质表达水平通过四种样本类型中任意两者之间指定的>2.0或<0.5的倍数变化来确定。进行的配对比较是PL HE2和PL LE2、FF HE2和FF LE2、PL HE2和FF HE2以及PL LE2和FF LE2。通过进化关系进行蛋白质分析(PANTHER)和注释、可视化与综合发现数据库(DAVID)用于对蛋白质功能进行分类。该数据集包括蛋白质鉴定和定量的工作流程概述以及关于鉴定出的231种蛋白质的详细信息,其中包括103种上调和下调蛋白质。该数据集可用于进一步探究已鉴定的调控蛋白质,以更好地理解卵泡发生和排卵,特别是在牛中。该数据集与P. A. Afedi、E. L. Larimore、R. A. Cushman、D. Raynie、G. A. Perry撰写的文章《基于iTRAQ的牛排卵前血浆和卵泡液蛋白质组学分析》相关。《家畜内分泌学》。https://doi.org/10.1016/j.domaniend.2021.106606 。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c893/8047177/dc2db324e0a2/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c893/8047177/dc2db324e0a2/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c893/8047177/dc2db324e0a2/gr1.jpg

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本文引用的文献

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iTRAQ-based proteomic analysis of bovine pre-ovulatory plasma and follicular fluid.基于iTRAQ技术的牛排卵前血浆和卵泡液蛋白质组学分析
Domest Anim Endocrinol. 2021 Jul;76:106606. doi: 10.1016/j.domaniend.2021.106606. Epub 2021 Mar 2.
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大规模基因功能分析与 PANTHER 分类系统。
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