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Data from: Comparative proteomics dataset of skimmed milk samples from Holstein and Jersey dairy cattle

dataset
posted on 2024-02-08, 22:09 authored by Rinske Tacoma, Julia G. Fields, David B. Ebenstein, Yingwai Lam, Sabrina Louise Greenwood

Milk samples were collected from Holstein and Jersey breeds of dairy cattle maintained under the same management practices and environmental conditions over a seven-day period. Milk samples were collected twice daily from six cows of each breed as described in Tacoma et al., 2016. Samples were composited within individual cow over the experimental period and skimmed to remove the fat layer. Skimmed milk samples were fractionated using CaCl2 precipitation, ultracentrifugation and ProteoMiner treatment to remove the high abundance milk proteins. Separation of the low abundance proteins was achieved using SDS-PAGE. Differential protein abundances were analyzed by mass spectrometry-based proteomic approaches followed by statistical analyses of the peptide count data. The complete list of low-abundance proteins identified in both breeds is provided in this dataset as well as the total number of distinct sequenced peptides and gene ontology functions for each protein. The relative abundance of a select few proteins is depicted using the SIEVE software. Data are presented in Excel format (zipped for download): Supplemental Table 1: Identification of gene ontology functions of the full protein profile between different breeds; Supplemental Table 2: The complete list of the low-abundance proteins identified as well as peptide count data from both breeds.


Resources in this dataset:

  • Resource Title: Comparative proteomics dataset of skimmed milk samples from Holstein and Jersey dairy cattle.

    File Name: Web Page, url: https://www.sciencedirect.com/science/article/pii/S2352340916000445

    Data in Brief article presenting the complete list of low-abundance proteins identified in both breeds as well as the total number of distinct sequenced peptides and gene ontology functions for each protein. Data are presented in Excel format (zipped for download): Supplemental Table 1: Identification of gene ontology functions of the full protein profile between different breeds; Supplemental Table 2: The complete list of the low-abundance proteins identified as well as peptide count data from both breeds.

Funding

USDA-NIFA: HATCH Grant number 13-3110006050

History

Data contact name

Greenwood, Sabrina Louise

Data contact email

Sabrina.Greenwood@uvm.edu

Publisher

Data in Brief

Intended use

The dataset compares the diversity of the bovine milk proteome from two prominent North American dairy breeds maintained under the same diet, environment and management conditions in order to better assess true breed differences. It also allows for more direct comparison between research being performed using different breeds of dairy cattle, and can allow for general extrapolation and application of results seen in one breed to another. The results thus expand the bovine milk proteome and provide a platform for future research investigating milk proteomics.

Theme

  • Not specified

ISO Topic Category

  • biota

National Agricultural Library Thesaurus terms

Holstein; Jersey; dairy cattle; environmental factors; cows; skim milk; calcium chloride; ultracentrifugation; milk proteins; proteins; polyacrylamide gel electrophoresis; mass spectrometry; proteomics; statistical analysis; data collection; peptides; gene ontology; computer software; proteome; diet; breed differences; whey; bioactive compounds

Primary article PubAg Handle

Pending citation

  • No

Public Access Level

  • Public

Preferred dataset citation

Tacoma, R., Fields, J., Ebenstein, D. B., Lam, Y., & Greenwood, S. L. (2016). Comparative proteomics dataset of skimmed milk samples from Holstein and Jersey dairy cattle. Data in Brief, 6:843-846. https://doi.org/10.1016/j.dib.2016.01.038.

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