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Data from proteomic characterization and comparison of mammalian milk fat globule proteomes by iTRAQ analysis
Milk fat globules memebrane (MFGM)-enriched proteomes from Holstein, Jersey, yak, buffalo, goat, camel, horse, and human were extracted and identified by an iTRAQ quantification proteomic approach. Proteomes data were analyzed by bioinformatic and multivariate statistical analysis and used to presen...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4509926/ https://www.ncbi.nlm.nih.gov/pubmed/26217709 http://dx.doi.org/10.1016/j.dib.2014.12.004 |
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author | Yang, Yongxin Zheng, Nan Zhao, Xiaowei Zhang, Yangdong Han, Rongwei Ma, Lu Zhao, Shengguo Li, Songli Guo, Tongjun Wang, Jiaqi |
author_facet | Yang, Yongxin Zheng, Nan Zhao, Xiaowei Zhang, Yangdong Han, Rongwei Ma, Lu Zhao, Shengguo Li, Songli Guo, Tongjun Wang, Jiaqi |
author_sort | Yang, Yongxin |
collection | PubMed |
description | Milk fat globules memebrane (MFGM)-enriched proteomes from Holstein, Jersey, yak, buffalo, goat, camel, horse, and human were extracted and identified by an iTRAQ quantification proteomic approach. Proteomes data were analyzed by bioinformatic and multivariate statistical analysis and used to present the characteristic traits of the MFGM proteins among the studied mammals. The data of this study are also related to the research article “Proteomic characterization and comparison of mammalian milk fat globule proteomes by iTRAQ analysis” in the Journal of Proteomics [1]. |
format | Online Article Text |
id | pubmed-4509926 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-45099262015-07-27 Data from proteomic characterization and comparison of mammalian milk fat globule proteomes by iTRAQ analysis Yang, Yongxin Zheng, Nan Zhao, Xiaowei Zhang, Yangdong Han, Rongwei Ma, Lu Zhao, Shengguo Li, Songli Guo, Tongjun Wang, Jiaqi Data Brief Data Article Milk fat globules memebrane (MFGM)-enriched proteomes from Holstein, Jersey, yak, buffalo, goat, camel, horse, and human were extracted and identified by an iTRAQ quantification proteomic approach. Proteomes data were analyzed by bioinformatic and multivariate statistical analysis and used to present the characteristic traits of the MFGM proteins among the studied mammals. The data of this study are also related to the research article “Proteomic characterization and comparison of mammalian milk fat globule proteomes by iTRAQ analysis” in the Journal of Proteomics [1]. Elsevier 2015-01-13 /pmc/articles/PMC4509926/ /pubmed/26217709 http://dx.doi.org/10.1016/j.dib.2014.12.004 Text en © 2015 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Yang, Yongxin Zheng, Nan Zhao, Xiaowei Zhang, Yangdong Han, Rongwei Ma, Lu Zhao, Shengguo Li, Songli Guo, Tongjun Wang, Jiaqi Data from proteomic characterization and comparison of mammalian milk fat globule proteomes by iTRAQ analysis |
title | Data from proteomic characterization and comparison of mammalian milk fat globule proteomes by iTRAQ analysis |
title_full | Data from proteomic characterization and comparison of mammalian milk fat globule proteomes by iTRAQ analysis |
title_fullStr | Data from proteomic characterization and comparison of mammalian milk fat globule proteomes by iTRAQ analysis |
title_full_unstemmed | Data from proteomic characterization and comparison of mammalian milk fat globule proteomes by iTRAQ analysis |
title_short | Data from proteomic characterization and comparison of mammalian milk fat globule proteomes by iTRAQ analysis |
title_sort | data from proteomic characterization and comparison of mammalian milk fat globule proteomes by itraq analysis |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4509926/ https://www.ncbi.nlm.nih.gov/pubmed/26217709 http://dx.doi.org/10.1016/j.dib.2014.12.004 |
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