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A molecular staging model for accurately dating the endometrial biopsy
Natural variability in menstrual cycle length, coupled with rapid changes in endometrial gene expression, makes it difficult to accurately define and compare different stages of the endometrial cycle. Here we develop and validate a method for precisely determining endometrial cycle stage based on gl...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10556104/ https://www.ncbi.nlm.nih.gov/pubmed/37798294 http://dx.doi.org/10.1038/s41467-023-41979-z |
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author | Teh, W. T. Chung, J. Holdsworth-Carson, S. J. Donoghue, J. F. Healey, M. Rees, H. C. Bittinger, S. Obers, V. Sloggett, C. Kendarsari, R. Fung, J. N. Mortlock, S. Montgomery, G. W. Girling, J. E. Rogers, P. A. W. |
author_facet | Teh, W. T. Chung, J. Holdsworth-Carson, S. J. Donoghue, J. F. Healey, M. Rees, H. C. Bittinger, S. Obers, V. Sloggett, C. Kendarsari, R. Fung, J. N. Mortlock, S. Montgomery, G. W. Girling, J. E. Rogers, P. A. W. |
author_sort | Teh, W. T. |
collection | PubMed |
description | Natural variability in menstrual cycle length, coupled with rapid changes in endometrial gene expression, makes it difficult to accurately define and compare different stages of the endometrial cycle. Here we develop and validate a method for precisely determining endometrial cycle stage based on global gene expression. Our ‘molecular staging model’ reveals significant and remarkably synchronised daily changes in expression for over 3400 endometrial genes throughout the cycle, with the most dramatic changes occurring during the secretory phase. Our study significantly extends existing data on the endometrial transcriptome, and for the first time enables identification of differentially expressed endometrial genes with increasing age and different ethnicities. It also allows reinterpretation of all endometrial RNA-seq and array data that has been published to date. Our molecular staging model will significantly advance understanding of endometrial-related disorders that affect nearly all women at some stage of their lives, such as heavy menstrual bleeding, endometriosis, adenomyosis, and recurrent implantation failure. |
format | Online Article Text |
id | pubmed-10556104 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-105561042023-10-07 A molecular staging model for accurately dating the endometrial biopsy Teh, W. T. Chung, J. Holdsworth-Carson, S. J. Donoghue, J. F. Healey, M. Rees, H. C. Bittinger, S. Obers, V. Sloggett, C. Kendarsari, R. Fung, J. N. Mortlock, S. Montgomery, G. W. Girling, J. E. Rogers, P. A. W. Nat Commun Article Natural variability in menstrual cycle length, coupled with rapid changes in endometrial gene expression, makes it difficult to accurately define and compare different stages of the endometrial cycle. Here we develop and validate a method for precisely determining endometrial cycle stage based on global gene expression. Our ‘molecular staging model’ reveals significant and remarkably synchronised daily changes in expression for over 3400 endometrial genes throughout the cycle, with the most dramatic changes occurring during the secretory phase. Our study significantly extends existing data on the endometrial transcriptome, and for the first time enables identification of differentially expressed endometrial genes with increasing age and different ethnicities. It also allows reinterpretation of all endometrial RNA-seq and array data that has been published to date. Our molecular staging model will significantly advance understanding of endometrial-related disorders that affect nearly all women at some stage of their lives, such as heavy menstrual bleeding, endometriosis, adenomyosis, and recurrent implantation failure. Nature Publishing Group UK 2023-10-06 /pmc/articles/PMC10556104/ /pubmed/37798294 http://dx.doi.org/10.1038/s41467-023-41979-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Teh, W. T. Chung, J. Holdsworth-Carson, S. J. Donoghue, J. F. Healey, M. Rees, H. C. Bittinger, S. Obers, V. Sloggett, C. Kendarsari, R. Fung, J. N. Mortlock, S. Montgomery, G. W. Girling, J. E. Rogers, P. A. W. A molecular staging model for accurately dating the endometrial biopsy |
title | A molecular staging model for accurately dating the endometrial biopsy |
title_full | A molecular staging model for accurately dating the endometrial biopsy |
title_fullStr | A molecular staging model for accurately dating the endometrial biopsy |
title_full_unstemmed | A molecular staging model for accurately dating the endometrial biopsy |
title_short | A molecular staging model for accurately dating the endometrial biopsy |
title_sort | molecular staging model for accurately dating the endometrial biopsy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10556104/ https://www.ncbi.nlm.nih.gov/pubmed/37798294 http://dx.doi.org/10.1038/s41467-023-41979-z |
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