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Quantitative proteomic dataset of whole protein in three melanoma samples of 92.1, 92.1-A and 92.1-B
Distant metastasis is common in ocular uveal melanoma (uveal melanoma, UM) [1], with possible identification of relevant protein markers in peripheral blood [2], [3]. Proteomics analyses serve as a basis for the screening of new target proteins. However, it is difficult to determine whether the rele...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9508510/ https://www.ncbi.nlm.nih.gov/pubmed/36164296 http://dx.doi.org/10.1016/j.dib.2022.108592 |
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author | Fei, Xifeng Xie, Xiangtong Ji, Xiaoyan Tian, Haiyan Sun, Fei Jiang, Dongyi Wang, Zhimin Huang, Qiang |
author_facet | Fei, Xifeng Xie, Xiangtong Ji, Xiaoyan Tian, Haiyan Sun, Fei Jiang, Dongyi Wang, Zhimin Huang, Qiang |
author_sort | Fei, Xifeng |
collection | PubMed |
description | Distant metastasis is common in ocular uveal melanoma (uveal melanoma, UM) [1], with possible identification of relevant protein markers in peripheral blood [2], [3]. Proteomics analyses serve as a basis for the screening of new target proteins. However, it is difficult to determine whether the relevant proteins in peripheral blood are the same kinesins as those in primary lesions and metastases. Specially in this study, human UM cells (92.1) [4] were inoculated into the back of the eyeball and the brain of inbred line nude mice transplanted with enhanced green fluorescent protein (EGFP) [5], respectively, to simulate the growth of UM in situ and in brain metastases. A database was established as follows: Firstly, the xenograft was taken for monoclonal re-culture and amplification. Then, the cells after amplification (92.1-A in the back of the eyeball and 92.1-B in the brain) and their parent cells (92.1) were subjected to Tandem Mass Tag (TMT)-labeling proteomic analysis and liquid chromatography-mass spectrometry (LC-MS). Covering differential proteomes of three cell lines in a pairwise model, the data could be used to further screen the kinesins that play a vital role in regulating the growth of UM. |
format | Online Article Text |
id | pubmed-9508510 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-95085102022-09-25 Quantitative proteomic dataset of whole protein in three melanoma samples of 92.1, 92.1-A and 92.1-B Fei, Xifeng Xie, Xiangtong Ji, Xiaoyan Tian, Haiyan Sun, Fei Jiang, Dongyi Wang, Zhimin Huang, Qiang Data Brief Data Article Distant metastasis is common in ocular uveal melanoma (uveal melanoma, UM) [1], with possible identification of relevant protein markers in peripheral blood [2], [3]. Proteomics analyses serve as a basis for the screening of new target proteins. However, it is difficult to determine whether the relevant proteins in peripheral blood are the same kinesins as those in primary lesions and metastases. Specially in this study, human UM cells (92.1) [4] were inoculated into the back of the eyeball and the brain of inbred line nude mice transplanted with enhanced green fluorescent protein (EGFP) [5], respectively, to simulate the growth of UM in situ and in brain metastases. A database was established as follows: Firstly, the xenograft was taken for monoclonal re-culture and amplification. Then, the cells after amplification (92.1-A in the back of the eyeball and 92.1-B in the brain) and their parent cells (92.1) were subjected to Tandem Mass Tag (TMT)-labeling proteomic analysis and liquid chromatography-mass spectrometry (LC-MS). Covering differential proteomes of three cell lines in a pairwise model, the data could be used to further screen the kinesins that play a vital role in regulating the growth of UM. Elsevier 2022-09-11 /pmc/articles/PMC9508510/ /pubmed/36164296 http://dx.doi.org/10.1016/j.dib.2022.108592 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Data Article Fei, Xifeng Xie, Xiangtong Ji, Xiaoyan Tian, Haiyan Sun, Fei Jiang, Dongyi Wang, Zhimin Huang, Qiang Quantitative proteomic dataset of whole protein in three melanoma samples of 92.1, 92.1-A and 92.1-B |
title | Quantitative proteomic dataset of whole protein in three melanoma samples of 92.1, 92.1-A and 92.1-B |
title_full | Quantitative proteomic dataset of whole protein in three melanoma samples of 92.1, 92.1-A and 92.1-B |
title_fullStr | Quantitative proteomic dataset of whole protein in three melanoma samples of 92.1, 92.1-A and 92.1-B |
title_full_unstemmed | Quantitative proteomic dataset of whole protein in three melanoma samples of 92.1, 92.1-A and 92.1-B |
title_short | Quantitative proteomic dataset of whole protein in three melanoma samples of 92.1, 92.1-A and 92.1-B |
title_sort | quantitative proteomic dataset of whole protein in three melanoma samples of 92.1, 92.1-a and 92.1-b |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9508510/ https://www.ncbi.nlm.nih.gov/pubmed/36164296 http://dx.doi.org/10.1016/j.dib.2022.108592 |
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