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Translational Bioinformatics for Human Reproductive Biology Research: Examples, Opportunities and Challenges for a Future Reproductive Medicine

Since 1978, with the first IVF (in vitro fertilization) baby birth in Manchester (England), more than eight million IVF babies have been born throughout the world, and many new techniques and discoveries have emerged in reproductive medicine. To summarize the modern technology and progress in reprod...

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Detalles Bibliográficos
Autores principales: Liu, Kun, Zhang, Yingbo, Martin, César, Ma, Xiaoling, Shen, Bairong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9819745/
https://www.ncbi.nlm.nih.gov/pubmed/36613446
http://dx.doi.org/10.3390/ijms24010004
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author Liu, Kun
Zhang, Yingbo
Martin, César
Ma, Xiaoling
Shen, Bairong
author_facet Liu, Kun
Zhang, Yingbo
Martin, César
Ma, Xiaoling
Shen, Bairong
author_sort Liu, Kun
collection PubMed
description Since 1978, with the first IVF (in vitro fertilization) baby birth in Manchester (England), more than eight million IVF babies have been born throughout the world, and many new techniques and discoveries have emerged in reproductive medicine. To summarize the modern technology and progress in reproductive medicine, all scientific papers related to reproductive medicine, especially papers related to reproductive translational medicine, were fully searched, manually curated and reviewed. Results indicated whether male reproductive medicine or female reproductive medicine all have made significant progress, and their markers have experienced the progress from karyotype analysis to single-cell omics. However, due to the lack of comprehensive databases, especially databases collecting risk exposures, disease markers and models, prevention drugs and effective treatment methods, the application of the latest precision medicine technologies and methods in reproductive medicine is limited.
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spelling pubmed-98197452023-01-07 Translational Bioinformatics for Human Reproductive Biology Research: Examples, Opportunities and Challenges for a Future Reproductive Medicine Liu, Kun Zhang, Yingbo Martin, César Ma, Xiaoling Shen, Bairong Int J Mol Sci Review Since 1978, with the first IVF (in vitro fertilization) baby birth in Manchester (England), more than eight million IVF babies have been born throughout the world, and many new techniques and discoveries have emerged in reproductive medicine. To summarize the modern technology and progress in reproductive medicine, all scientific papers related to reproductive medicine, especially papers related to reproductive translational medicine, were fully searched, manually curated and reviewed. Results indicated whether male reproductive medicine or female reproductive medicine all have made significant progress, and their markers have experienced the progress from karyotype analysis to single-cell omics. However, due to the lack of comprehensive databases, especially databases collecting risk exposures, disease markers and models, prevention drugs and effective treatment methods, the application of the latest precision medicine technologies and methods in reproductive medicine is limited. MDPI 2022-12-20 /pmc/articles/PMC9819745/ /pubmed/36613446 http://dx.doi.org/10.3390/ijms24010004 Text en © 2022 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
Liu, Kun
Zhang, Yingbo
Martin, César
Ma, Xiaoling
Shen, Bairong
Translational Bioinformatics for Human Reproductive Biology Research: Examples, Opportunities and Challenges for a Future Reproductive Medicine
title Translational Bioinformatics for Human Reproductive Biology Research: Examples, Opportunities and Challenges for a Future Reproductive Medicine
title_full Translational Bioinformatics for Human Reproductive Biology Research: Examples, Opportunities and Challenges for a Future Reproductive Medicine
title_fullStr Translational Bioinformatics for Human Reproductive Biology Research: Examples, Opportunities and Challenges for a Future Reproductive Medicine
title_full_unstemmed Translational Bioinformatics for Human Reproductive Biology Research: Examples, Opportunities and Challenges for a Future Reproductive Medicine
title_short Translational Bioinformatics for Human Reproductive Biology Research: Examples, Opportunities and Challenges for a Future Reproductive Medicine
title_sort translational bioinformatics for human reproductive biology research: examples, opportunities and challenges for a future reproductive medicine
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9819745/
https://www.ncbi.nlm.nih.gov/pubmed/36613446
http://dx.doi.org/10.3390/ijms24010004
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