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Multiomics Analysis Reveals Novel Genetic Determinants for Lens Differentiation, Structure, and Transparency

Recent advances in next-generation sequencing and data analysis have provided new gateways for identification of novel genome-wide genetic determinants governing tissue development and disease. These advances have revolutionized our understanding of cellular differentiation, homeostasis, and special...

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Autores principales: Disatham, Joshua, Brennan, Lisa, Cvekl, Ales, Kantorow, Marc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10136076/
https://www.ncbi.nlm.nih.gov/pubmed/37189439
http://dx.doi.org/10.3390/biom13040693
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author Disatham, Joshua
Brennan, Lisa
Cvekl, Ales
Kantorow, Marc
author_facet Disatham, Joshua
Brennan, Lisa
Cvekl, Ales
Kantorow, Marc
author_sort Disatham, Joshua
collection PubMed
description Recent advances in next-generation sequencing and data analysis have provided new gateways for identification of novel genome-wide genetic determinants governing tissue development and disease. These advances have revolutionized our understanding of cellular differentiation, homeostasis, and specialized function in multiple tissues. Bioinformatic and functional analysis of these genetic determinants and the pathways they regulate have provided a novel basis for the design of functional experiments to answer a wide range of long-sought biological questions. A well-characterized model for the application of these emerging technologies is the development and differentiation of the ocular lens and how individual pathways regulate lens morphogenesis, gene expression, transparency, and refraction. Recent applications of next-generation sequencing analysis on well-characterized chicken and mouse lens differentiation models using a variety of omics techniques including RNA-seq, ATAC-seq, whole-genome bisulfite sequencing (WGBS), chip-seq, and CUT&RUN have revealed a wide range of essential biological pathways and chromatin features governing lens structure and function. Multiomics integration of these data has established new gene functions and cellular processes essential for lens formation, homeostasis, and transparency including the identification of novel transcription control pathways, autophagy remodeling pathways, and signal transduction pathways, among others. This review summarizes recent omics technologies applied to the lens, methods for integrating multiomics data, and how these recent technologies have advanced our understanding ocular biology and function. The approach and analysis are relevant to identifying the features and functional requirements of more complex tissues and disease states.
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spelling pubmed-101360762023-04-28 Multiomics Analysis Reveals Novel Genetic Determinants for Lens Differentiation, Structure, and Transparency Disatham, Joshua Brennan, Lisa Cvekl, Ales Kantorow, Marc Biomolecules Review Recent advances in next-generation sequencing and data analysis have provided new gateways for identification of novel genome-wide genetic determinants governing tissue development and disease. These advances have revolutionized our understanding of cellular differentiation, homeostasis, and specialized function in multiple tissues. Bioinformatic and functional analysis of these genetic determinants and the pathways they regulate have provided a novel basis for the design of functional experiments to answer a wide range of long-sought biological questions. A well-characterized model for the application of these emerging technologies is the development and differentiation of the ocular lens and how individual pathways regulate lens morphogenesis, gene expression, transparency, and refraction. Recent applications of next-generation sequencing analysis on well-characterized chicken and mouse lens differentiation models using a variety of omics techniques including RNA-seq, ATAC-seq, whole-genome bisulfite sequencing (WGBS), chip-seq, and CUT&RUN have revealed a wide range of essential biological pathways and chromatin features governing lens structure and function. Multiomics integration of these data has established new gene functions and cellular processes essential for lens formation, homeostasis, and transparency including the identification of novel transcription control pathways, autophagy remodeling pathways, and signal transduction pathways, among others. This review summarizes recent omics technologies applied to the lens, methods for integrating multiomics data, and how these recent technologies have advanced our understanding ocular biology and function. The approach and analysis are relevant to identifying the features and functional requirements of more complex tissues and disease states. MDPI 2023-04-19 /pmc/articles/PMC10136076/ /pubmed/37189439 http://dx.doi.org/10.3390/biom13040693 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Disatham, Joshua
Brennan, Lisa
Cvekl, Ales
Kantorow, Marc
Multiomics Analysis Reveals Novel Genetic Determinants for Lens Differentiation, Structure, and Transparency
title Multiomics Analysis Reveals Novel Genetic Determinants for Lens Differentiation, Structure, and Transparency
title_full Multiomics Analysis Reveals Novel Genetic Determinants for Lens Differentiation, Structure, and Transparency
title_fullStr Multiomics Analysis Reveals Novel Genetic Determinants for Lens Differentiation, Structure, and Transparency
title_full_unstemmed Multiomics Analysis Reveals Novel Genetic Determinants for Lens Differentiation, Structure, and Transparency
title_short Multiomics Analysis Reveals Novel Genetic Determinants for Lens Differentiation, Structure, and Transparency
title_sort multiomics analysis reveals novel genetic determinants for lens differentiation, structure, and transparency
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10136076/
https://www.ncbi.nlm.nih.gov/pubmed/37189439
http://dx.doi.org/10.3390/biom13040693
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