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

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.

Dataset Info

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FieldValue
Authors
Tacoma, Rinske
Fields, Julia G.
Ebenstein, David B.
Lam, Yingwai
Greenwood, Sabrina Louise
Product Type
Dataset
Equipment or Software Used
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.
Publisher
Data in Brief
Contact Name
Greenwood, Sabrina Louise
Contact Email
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. <em>Data in Brief</em>, 6:843-846. https://doi.org/10.1016/j.dib.2016.01.038.
Primary Article

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.

Related Article

Tacoma, R., Fields, J., Ebenstein, D. B., Lam, Y., & Greenwood, S. L. (2016). Characterization of the bovine milk proteome in early-lactation Holstein and Jersey breeds of dairy cows. Journal of Proteomics, 130:200-210.

Methods 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.

License
Funding Source(s)
National Institute of Food and Agriculture
HATCH Grant number 13-3110006050
Dataset DOI (digital object identifier)
10.1016/j.dib.2016.01.038
Modified Date
2018-05-20
Release Date
2018-02-02
Ag Data Commons Keywords: 
  • Agricultural Products
  • Animals
  • Dairy
  • Cattle
  • Agricultural Products
  • Animals
  • Dairy
  • Agricultural Products
  • Animals
  • Agricultural Products
  • Genomics & Genetics
  • Proteomes
  • Genomics & Genetics
  • Genome
ISO Topic(s):