Network modeling predicts personalized gene expression and drug responses in valve myofibroblasts cultured with patient sera
Journal Article
Overview
publication date
- February 22, 2022
has subject area
- Aortic Valve
- Aortic Valve Disease - Aortic Valve Stenosis
- Biochemical Phenomena - Signal Transduction
- Biochemical Phenomena - Transcriptome
- Biology - Computational Biology
- Biomarkers, Pharmacological
- Body Fluids - Serum
- Calcinosis
- Cell Physiological Phenomena - Signal Transduction
- Cells, Cultured
- Clinical Medicine - Precision Medicine
- Culture Techniques - Cell Culture Techniques
- Cytoskeletal Proteins - Actins
- Diagnostic Techniques and Procedures - Cell Culture Techniques
- Extracellular Matrix
- Fibroblasts - Myofibroblasts
- Fibrosis
- Fibrosis - Cicatrix
- Gene Expression
- Gene Expression - Transcriptome
- Gene Expression Profiling
- Gene Expression Regulation
- Genetic Structures - Transcriptome
- Granulation Tissue - Cicatrix
- Hemic and Immune Systems - Serum
- Humans
- Informatics - Computational Biology
- Investigative Techniques - Cell Culture Techniques
- Investigative Techniques - Cell Culture Techniques
- Macromolecular Substances - Actins
- Models, Genetic
- Muscle Proteins - Actins
- Myocytes, Smooth Muscle - Myofibroblasts
- Therapeutics - Precision Medicine
- Ventricular Outflow Obstruction - Aortic Valve Stenosis
- Wound Healing - Cicatrix
has restriction
- hybrid
Date in CU Experts
- March 1, 2022 7:41 AM
Full Author List
- Rogers JD; Aguado BA; Watts KM; Anseth KS; Richardson WJ
author count
- 5
citation count
- 10
published in
Other Profiles
International Standard Serial Number (ISSN)
- 0027-8424
Electronic International Standard Serial Number (EISSN)
- 1091-6490
Digital Object Identifier (DOI)
Additional Document Info
volume
- 119
issue
- 8
number
- ARTN e2117323119