z-logo
open-access-imgOpen Access
In silico phenotype projection of endothelial ERK1/2 signaling
Author(s) -
Michael Simons,
Jeffrey R. Gulcher,
Thomas W. Chittenden
Publication year - 2020
Publication title -
aging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 90
ISSN - 1945-4589
DOI - 10.18632/aging.103529
Subject(s) - in silico , phenotype , computational biology , projection (relational algebra) , biology , microbiology and biotechnology , genetics , computer science , gene , algorithm
and cost-effective functional evaluation of novel (or poorly understood) genes. Typically, in vitro approaches are first used to alter gene expression using various RNAi and/or transfection approaches. This is followed by an array of cell physiology assays and signaling studies that can examine cell proliferation, migration, adhesion, cytoskeletal organization, responses to specific agonists or metabolic perturbations, among others. Frequently, the data generated are not sufficient to have a clear idea about molecular pathways involved and potential physiological impacts. Therefore, these studies are then followed by in vivo evaluations using organisms such as mice and zebrafish. The process of creating genetically engineered animals with altered gene expression followed by phenotype evaluation is both timeand resource-consuming and functional alterations may be hard to pinpoint. Thus, there is a strong need for an alternative strategy that would predict functional outcomes based on in silico gene expression profiling.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom