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Predicted mouse interactome and network-based interpretation of differentially expressed genes.

التفاصيل البيبلوغرافية
العنوان: Predicted mouse interactome and network-based interpretation of differentially expressed genes.
المؤلفون: Hai-Bo Zhang, Xiao-Bao Ding, Jie Jin, Wen-Ping Guo, Qiao-Lei Yang, Peng-Cheng Chen, Heng Yao, Li Ruan, Yu-Tian Tao, Xin Chen
المصدر: PLoS ONE, Vol 17, Iss 4, p e0264174 (2022)
بيانات النشر: Public Library of Science (PLoS), 2022.
سنة النشر: 2022
المجموعة: LCC:Medicine
LCC:Science
مصطلحات موضوعية: Medicine, Science
الوصف: The house mouse or Mus musculus has become a premier mammalian model for genetic research due to its genetic and physiological similarities to humans. It brought mechanistic insights into numerous human diseases and has been routinely used to assess drug efficiency and toxicity, as well as to predict patient responses. To facilitate molecular mechanism studies in mouse, we present the Mouse Interactome Database (MID, Version 1), which includes 155,887 putative functional associations between mouse protein-coding genes inferred from functional association evidence integrated from 9 public databases. These putative functional associations are expected to cover 19.32% of all mouse protein interactions, and 26.02% of these function associations may represent protein interactions. On top of MID, we developed a gene set linkage analysis (GSLA) web tool to annotate potential functional impacts from observed differentially expressed genes. Two case studies show that the MID/GSLA system provided precise and informative annotations that other widely used gene set annotation tools, such as PANTHER and DAVID, did not. Both MID and GSLA are accessible through the website http://mouse.biomedtzc.cn.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1932-6203
45238642
Relation: https://doaj.org/toc/1932-6203
DOI: 10.1371/journal.pone.0264174
URL الوصول: https://doaj.org/article/13b343e8fb3f457a8a45238642bc049a
رقم الأكسشن: edsdoj.13b343e8fb3f457a8a45238642bc049a
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:19326203
45238642
DOI:10.1371/journal.pone.0264174