人类输尿管蛋白质组的综合数据分析

Comprehensive data analysis of human ureter proteome.

作者信息

Magdeldin Sameh, Hirao Yoshitoshi, El Guoshy Amr, Xu Bo, Zhang Ying, Fujinaka Hidehiko, Yamamoto Keiko, Yates John R, Yamamoto Tadashi

机构信息

Biofluid Biomarker Center (BB-C), Institute for Research Collaboration and Promotion, Niigata University, Niigata, Japan; Department of Physiology, Faculty of Veterinary Medicine, Suez Canal University, Ismailia 41522, Egypt; Department of Chemical Physiology, The Scripps Research Institute, 10550 North Torrey Pines Road, SR11, La Jolla, CA 92037, United States.

Biofluid Biomarker Center (BB-C), Institute for Research Collaboration and Promotion, Niigata University, Niigata, Japan.

出版信息

Data Brief. 2016 Feb 3;6:853-7. doi: 10.1016/j.dib.2016.01.050. eCollection 2016 Mar.

DOI:10.1016/j.dib.2016.01.050

PMID:26937461

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4749945/

Abstract

Comprehensive human ureter proteome dataset was generated from OFFGel fractionated ureter samples. Our result showed that among 2217 non-redundant ureter proteins, 751 protein candidates (33.8%) were detected in urine as urinary protein/polypeptide or exosomal protein. On the other hand, comparing ureter protein hits (48) that are not shown in corresponding databases to urinary bladder and prostate human protein atlas databases pinpointed 21 proteins that might be unique to ureter tissue. In conclusion, this finding offers future perspectives for possible identification of ureter disease-associated biomarkers such as ureter carcinoma. In addition, Cytoscape GO annotation was examined on the final ureter dataset to better understand proteins molecular function, biological processes, and cellular component. The ureter proteomic dataset published in this article will provide a valuable resource for researchers working in the field of urology and urine biomarker discovery.

摘要

通过对经离线凝胶分离的输尿管样本进行分析，生成了全面的人类输尿管蛋白质组数据集。我们的结果显示，在2217种非冗余输尿管蛋白中，有751种蛋白质候选物（33.8%）在尿液中被检测为尿蛋白/多肽或外泌体蛋白。另一方面，将在相应数据库中未显示的输尿管蛋白匹配项（48个）与膀胱和前列腺人类蛋白质图谱数据库进行比较，确定了21种可能是输尿管组织特有的蛋白质。总之，这一发现为未来鉴定输尿管疾病相关生物标志物（如输尿管癌）提供了前景。此外，对最终的输尿管数据集进行了Cytoscape GO注释，以更好地了解蛋白质的分子功能、生物学过程和细胞成分。本文发表的输尿管蛋白质组数据集将为从事泌尿外科和尿液生物标志物发现领域的研究人员提供宝贵的资源。