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ARS Home » Plains Area » Clay Center, Nebraska » U.S. Meat Animal Research Center » Livestock Bio-Systems » Research » Publications at this Location » Publication #381029

Research Project: Improving Livestock Production by Developing Reproductive and Precision Management Technologies

Location: Livestock Bio-Systems

Title: iTRAQ-based proteomic dataset for bovine pre-ovulatory plasma and follicular fluid containing high and low Estradiol

item AFEDI, PATIENCE - South Dakota State University
item LARIMORE, ERIN - South Dakota State University
item Cushman, Robert - Bob
item RAYNIE, DOUGLAS - South Dakota State University
item PERRY, GEORGE - South Dakota State University

Submitted to: Data in Brief
Publication Type: Database / Dataset
Publication Acceptance Date: 3/22/2021
Publication Date: 3/26/2021
Citation: Afedi, P.A., Larimore, E.L., Cushman, R.A., Raynie, D., Perry, G.A. 2021. iTRAQ-based proteomic dataset for bovine pre-ovulatory plasma and follicular fluid containing high and low Estradiol. Data in Brief. 36:Article 106998.

Interpretive Summary: A global evaluation of proteins in the ovarian follicular fluid of cows differing in estrogen production and fertility was performed to identify proteins that may contribute to improved reproductive function in beef cows. Access to the identity of these proteins is provided to the global scientific community to enhance the value of the data and contribute to hypothesis driven studies that will dissect the biological roles of these proteins in oocyte quality and reproductive function, thereby allowing us to improve reproductive management in beef cows.

Technical 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 SEQUESTTM 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.