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Uterine Transcriptome: Understanding Physiology and Disease Processes.
Kirschen, Gregory W; Hessami, Kamran; AlAshqar, Abdelrahman; Afrin, Sadia; Lulseged, Bethlehem; Borahay, Mostafa.
Afiliação
  • Kirschen GW; Department of Gynecology & Obstetrics, Johns Hopkins University, Baltimore, MD 21287, USA.
  • Hessami K; Maternal Fetal Care Center, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.
  • AlAshqar A; Department of Obstetrics, Gynecology and Reproductive Sciences, Yale School of Medicine, New Haven, CT 06510, USA.
  • Afrin S; Department of Gynecology & Obstetrics, Johns Hopkins University, Baltimore, MD 21287, USA.
  • Lulseged B; School of Medicine, Johns Hopkins University, Baltimore, MD 21205, USA.
  • Borahay M; Department of Gynecology & Obstetrics, Johns Hopkins University, Baltimore, MD 21287, USA.
Biology (Basel) ; 12(4)2023 Apr 21.
Article em En | MEDLINE | ID: mdl-37106834
ABSTRACT
In recent years, transcriptomics has enabled us to gain a deeper understanding of fundamental reproductive physiology, including the menstrual cycle, through a more precise molecular analysis. The endometrial mRNA transcript levels fluctuate during the normal menstrual cycle, indicating changes in the relative recruitment and abundance of inflammatory cells, as well as changes in the receptivity and remodeling of the endometrium. In addition to providing a more comprehensive understanding of the molecular underpinnings of pathological gynecological conditions such as endometriosis, leiomyomas, and adenomyosis through RNA sequencing, this has allowed researchers to create transcriptome profiles during both normal menstrual cycles and pathological gynecological conditions. Such insights could potentially lead to more targeted and personalized therapies for benign gynecological conditions. Here, we provide an overview of recent advances in transcriptome analysis of normal and pathological endometrium.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article