A molecular staging model for accurately dating the endometrial biopsy
Abstract 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 ba...
| Main Authors: | , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-10-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-023-41979-z |
| _version_ | 1827709843193987072 |
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| author | W. T. Teh J. Chung S. J. Holdsworth-Carson J. F. Donoghue M. Healey H. C. Rees S. Bittinger V. Obers C. Sloggett R. Kendarsari J. N. Fung S. Mortlock G. W. Montgomery J. E. Girling P. A. W. Rogers |
| author_facet | W. T. Teh J. Chung S. J. Holdsworth-Carson J. F. Donoghue M. Healey H. C. Rees S. Bittinger V. Obers C. Sloggett R. Kendarsari J. N. Fung S. Mortlock G. W. Montgomery J. E. Girling P. A. W. Rogers |
| author_sort | W. T. Teh |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-03-10T17:28:38Z |
| format | Article |
| id | doaj.art-a2da35840d0641fe9d041c330bd803b1 |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-03-10T17:28:38Z |
| publishDate | 2023-10-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-a2da35840d0641fe9d041c330bd803b12023-11-20T10:06:46ZengNature PortfolioNature Communications2041-17232023-10-0114111310.1038/s41467-023-41979-zA molecular staging model for accurately dating the endometrial biopsyW. T. Teh0J. Chung1S. J. Holdsworth-Carson2J. F. Donoghue3M. Healey4H. C. Rees5S. Bittinger6V. Obers7C. Sloggett8R. Kendarsari9J. N. Fung10S. Mortlock11G. W. Montgomery12J. E. Girling13P. A. W. Rogers14University of Melbourne Department of Obstetrics and GynaecologyUniversity of Melbourne Department of Obstetrics and GynaecologyUniversity of Melbourne Department of Obstetrics and GynaecologyUniversity of Melbourne Department of Obstetrics and GynaecologyUniversity of Melbourne Department of Obstetrics and GynaecologyRoyal Women’s HospitalRoyal Women’s HospitalMelbourne PathologyMelbourne Bioinformatics, University of MelbourneInstitute for Molecular Bioscience, University of QueenslandSchool of Biomedical Sciences, University of QueenslandInstitute for Molecular Bioscience, University of QueenslandInstitute for Molecular Bioscience, University of QueenslandUniversity of Melbourne Department of Obstetrics and GynaecologyUniversity of Melbourne Department of Obstetrics and GynaecologyAbstract 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.https://doi.org/10.1038/s41467-023-41979-z |
| spellingShingle | W. T. Teh J. Chung S. J. Holdsworth-Carson J. F. Donoghue M. Healey H. C. Rees S. Bittinger V. Obers C. Sloggett R. Kendarsari J. N. Fung S. Mortlock G. W. Montgomery J. E. Girling P. A. W. Rogers A molecular staging model for accurately dating the endometrial biopsy Nature Communications |
| 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 |
| url | https://doi.org/10.1038/s41467-023-41979-z |
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