دورية أكاديمية

Protein interaction network topology uncoversmelanogenesis regulatory network componentswithin functional genomics datasets.

التفاصيل البيبلوغرافية
العنوان: Protein interaction network topology uncoversmelanogenesis regulatory network componentswithin functional genomics datasets.
المؤلفون: Hsiang Ho, Milenkovic, Tijana, Memiševic, Vesna, Aruri, Jayavani, Przulj, Nataša, Ganesan, Anand K.
المصدر: BMC Systems Biology; 2010, Vol. 4, p84-96, 13p
مصطلحات موضوعية: PROTEIN-protein interactions, RNA, PHENOTYPES, GENOMICS
مستخلص: Background: RNA-mediated interference (RNAi)-based functional genomics is a systems-level approach to identify novel genes that control biological phenotypes. Existing computational approaches can identify individual genes from RNAi datasets that regulate a given biological process. However, currently available methods cannot identify which RNAi screen "hits" are novel components of well-characterized biological pathways known to regulate the interrogated phenotype. In this study, we describe a method to identify genes from RNAi datasets that are novel components of known biological pathways. We experimentally validate our approach in the context of a recently completed RNAi screen to identify novel regulators of melanogenesis. Results: In this study, we utilize a PPI network topology-based approach to identify targets within our RNAi dataset that may be components of known melanogenesis regulatory pathways. Our computational approach identifies a set of screen targets that cluster topologically in a human PPI network with the known pigment regulator Endothelin receptor type B (EDNRB). Validation studies reveal that these genes impact pigment production and EDNRB signaling in pigmented melanoma cells (MNT-1) and normal melanocytes. Conclusions: We present an approach that identifies novel components of well-characterized biological pathways from functional genomics datasets that could not have been identified by existing statistical and computational approaches. [ABSTRACT FROM AUTHOR]
Copyright of BMC Systems Biology is the property of BioMed Central and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
قاعدة البيانات: Complementary Index