Protocol for computationally evaluating the loss of stoichiometry and coordinated expression of proteins
Year: 2022
Type: article
Abstract: Dysregulation of the transcriptional or translational machinery can alter the stoichiometry of multiprotein complexes and occurs in natural processes such as aging. Loss of stoichiometry has been shown to alter protein complex functions. We provide a protocol and associated code that use omics data to quantify these stoichiometric changes via statistical dispersion utilizing the interquartile range of expression values per grouping variable. This descriptive statistical approach enables the quantification of stoichiometry changes without additional data acquisition. For complete details on the use and execution of this protocol, please refer to Hinz et al. (2021).
Source: STAR Protocols
Authors: Stefan Hinz, Michael E. Todhunter, Mark A. LaBarge
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $1,500
Funders: U.S. Department of Defense, American Cancer Society, Hope Center for Neurological Disorders, National Institutes of Health, Center For Cancer And Aging, National Institute on Aging, National Cancer Institute, National Institute of Biomedical Imaging and Bioengineering, Congressionally Directed Medical Research Programs
Awards: Studying Breast Cancer Susceptibility via In Vitro Human Tissue Models, Involution-based biomarkers of breast cancer risk, Mechanical states are emergent properties of biology underlying cancer risk, G8106056508, G8413211002, Detection of Emergent Mechanical Properties of Biologically Complex Cellular States, Geriatric Oncology Research Infrastructure to Improve Clinical Care, Understanding breast cancer progression as a defect in the mechanics of tissue self-organization
OpenAlex ID: W4220716374