Reproductomics: Exploring the Applications and Advancements of Computational Tools.
Over recent decades, advancements in omics technologies, such as proteomics, genomics, epigenomics, metabolomics, transcriptomics, and microbiomics, have significantly enhanced our understanding of the molecular mechanisms underlying various physiological and pathological processes. Nonetheless, the...
| Publicado en: | Physiological Research Vol. 73; no. 5; pp. 687 - 703 |
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| Autores principales: | , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Institute of Physiology, Academy of Sciences of the Czech Republic
Oct2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=181081952&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 181081952 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08628408 1CVW jtl: Physiological Research issn: 08628408 maglogo: N pubinfo: dt: Oct2024 vid: 73 iid: 5 pid: 24634 pub: Institute of Physiology, Academy of Sciences of the Czech Republic artinfo: ui: 181081952 10.33549/physiolres.935389 181081952 ppf: 687 ppct: 16 formats: fmt: @attributes: type: P tig: atl: Reproductomics: Exploring the Applications and Advancements of Computational Tools. aug: au: SENGUPTA, Pallav DUTTA, Sulagna Fong Fong LIEW SAMROT, Antony V. DASGUPTA, Sujoy RAJPUT, Muhammad Ali SLAMA, Petr KOLESAROVA, Adriana ROYCHOUDHURY, Shubhadeep affil: Department of Biomedical Sciences, College of Medicine, Gulf Medical University, Ajman, UAE sug: ab: Over recent decades, advancements in omics technologies, such as proteomics, genomics, epigenomics, metabolomics, transcriptomics, and microbiomics, have significantly enhanced our understanding of the molecular mechanisms underlying various physiological and pathological processes. Nonetheless, the analysis and interpretation of vast omics data concerning reproductive diseases are complicated by the cyclic regulation of hormones and multiple other factors, which, in conjunction with a genetic makeup of an individual, lead to diverse biological responses. Reproductomics investigates the interplay between a hormonal regulation of an individual, environmental factors, genetic predisposition (DNA composition and epigenome), health effects, and resulting biological outcomes. It is a rapidly emerging field that utilizes computational tools to analyze and interpret reproductive data, with the aim of improving reproductive health outcomes. It is time to explore the applications of reproductomics in understanding the molecular mechanisms underlying infertility, identification of potential biomarkers for diagnosis and treatment, and in improving assisted reproductive technologies (ARTs). Reproductomics tools include machine learning algorithms for predicting fertility outcomes, gene editing technologies for correcting genetic abnormalities, and single cell sequencing techniques for analyzing gene expression patterns at the individual cell level. However, there are several challenges, limitations and ethical issues involved with the use of reproductomics, such as the applications of gene editing technologies and their potential impact on future generations are discussed. The review comprehensively covers the applications and advancements of reproductomics, highlighting its potential to improve reproductive health outcomes and deepen our understanding of reproductive molecular mechanisms. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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