Bone Trans-omics: Integrating Omics to Unveil Mechanistic Molecular Networks Regulating Bone Biology and Disease

Overview

Journal Curr Osteoporos Rep

Publisher Current Science

Specialties Endocrinology
Orthopedics

Date 2023 Jul 6

PMID 37410317

Authors

Benjamin H Mullin

Amy B P Ribet

Nathan J Pavlos

Affiliations

Soon will be listed here.

Abstract

Purpose Of Review: Recent advancements in "omics" technologies and bioinformatics have afforded researchers new tools to study bone biology in an unbiased and holistic way. The purpose of this review is to highlight recent studies integrating multi-omics data gathered from multiple molecular layers (i.e.; trans-omics) to reveal new molecular mechanisms that regulate bone biology and underpin skeletal diseases.

Recent Findings: Bone biologists have traditionally relied on single-omics technologies (genomics, transcriptomics, proteomics, and metabolomics) to profile measureable differences (both qualitative and quantitative) of individual molecular layers for biological discovery and to investigate mechanisms of disease. Recently, literature has grown on the implementation of integrative multi-omics to study bone biology, which combines computational and informatics support to connect multiple layers of data derived from individual "omic" platforms. This emerging discipline termed "trans-omics" has enabled bone biologists to identify and construct detailed molecular networks, unveiling new pathways and unexpected interactions that have advanced our mechanistic understanding of bone biology and disease. While the era of trans-omics is poised to revolutionize our capacity to answer more complex and diverse questions pertinent to bone pathobiology, it also brings new challenges that are inherent when trying to connect "Big Data" sets. A concerted effort between bone biologists and interdisciplinary scientists will undoubtedly be needed to extract physiologically and clinically meaningful data from bone trans-omics in order to advance its implementation in the field.

Citing Articles

From Genomics to Metabolomics: Molecular Insights into Osteoporosis for Enhanced Diagnostic and Therapeutic Approaches.

Li Q, Wang J, Zhao C Biomedicines. 2024; 12(10).

PMID: 39457701 PMC: 11505085. DOI: 10.3390/biomedicines12102389.

Proteomic Insights into Osteoporosis: Unraveling Diagnostic Markers of and Therapeutic Targets for the Metabolic Bone Disease.

Wang J, Xue M, Hu Y, Li J, Li Z, Wang Y Biomolecules. 2024; 14(5).

PMID: 38785961 PMC: 11118602. DOI: 10.3390/biom14050554.

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