Pathway perturbations in signaling networks: Linking genotype to phenotype

Yongsheng Li; Daniel J McGrail; Natasha Latysheva; Song Yi; M Madan Babu; Nidhi Sahni

doi:10.1016/j.semcdb.2018.05.001

Pathway perturbations in signaling networks: Linking genotype to phenotype

Semin Cell Dev Biol. 2020 Mar:99:3-11. doi: 10.1016/j.semcdb.2018.05.001. Epub 2018 May 10.

Authors

Yongsheng Li¹, Daniel J McGrail¹, Natasha Latysheva², Song Yi³, M Madan Babu⁴, Nidhi Sahni⁵

Affiliations

¹ Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
² Medical Research Council Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge, CB2 0QH, UK.
³ Department of Oncology, Dell Medical School, The University of Texas at Austin, Austin, TX, 78712, USA. Electronic address: [email protected].
⁴ Medical Research Council Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge, CB2 0QH, UK. Electronic address: [email protected].
⁵ Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA; Program in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX, 77030, USA; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA. Electronic address: [email protected].

Abstract

Genes and gene products interact with each other to form signal transduction networks in the cell. The interactome networks are under intricate regulation in physiological conditions, but could go awry upon genome instability caused by genetic mutations. In the past decade with next-generation sequencing technologies, an increasing number of genomic mutations have been identified in a variety of disease patients and healthy individuals. As functional and systematic studies on these mutations leap forward, they begin to reveal insights into cellular homeostasis and disease mechanisms. In this review, we discuss recent advances in the field of network biology and signaling pathway perturbations upon genomic changes, and highlight the success of various omics datasets in unraveling genotype-to-phenotype relationships.

Keywords: Genetic mutations; Interactome and regulome; Network perturbations; Protein interactions; Signaling pathways.

Publication types

Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Review

MeSH terms

Animals
Gene Regulatory Networks
Genotype*
Humans
Phenotype*
Signal Transduction / genetics*

Abstract

Publication types

MeSH terms

Grants and funding