Dataset Information

G2Φnet: Relating genotype and biomechanical phenotype of tissues with deep learning.

ABSTRACT: Many genetic mutations adversely affect the structure and function of load-bearing soft tissues, with clinical sequelae often responsible for disability or death. Parallel advances in genetics and histomechanical characterization provide significant insight into these conditions, but there remains a pressing need to integrate such information. We present a novel genotype-to-biomechanical phenotype neural network (G2Φnet) for characterizing and classifying biomechanical properties of soft tissues, which serve as important functional readouts of tissue health or disease. We illustrate the utility of our approach by inferring the nonlinear, genotype-dependent constitutive behavior of the aorta for four mouse models involving defects or deficiencies in extracellular constituents. We show that G2Φnet can infer the biomechanical response while simultaneously ascribing the associated genotype by utilizing limited, noisy, and unstructured experimental data. More broadly, G2Φnet provides a powerful method and a paradigm shift for correlating genotype and biomechanical phenotype quantitatively, promising a better understanding of their interplay in biological tissues.

SUBMITTER: Zhang E

PROVIDER: S-EPMC9668200 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature

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G2Φnet: Relating genotype and biomechanical phenotype of tissues with deep learning.

Zhang Enrui E Spronck Bart B Humphrey Jay D JD Karniadakis George Em GE

PLoS computational biology 20221031 10

Many genetic mutations adversely affect the structure and function of load-bearing soft tissues, with clinical sequelae often responsible for disability or death. Parallel advances in genetics and histomechanical characterization provide significant insight into these conditions, but there remains a pressing need to integrate such information. We present a novel genotype-to-biomechanical phenotype neural network (G2Φnet) for characterizing and classifying biomechanical properties of soft tissues ...[more]

PMID: 36315608

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Dataset Information

G2Φnet: Relating genotype and biomechanical phenotype of tissues with deep learning.

Publications

G2Φnet: Relating genotype and biomechanical phenotype of tissues with deep learning.

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