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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Lee, Jin Woo Lee, Hwa-Yong |
| Abstract | The endometrium is a dynamic tissue that undergoes cyclic changes in response to ovarian hormones during the menstrual cycle. These changes are crucial for pregnancy establishment and maintenance. Endometrial stem cells play a pivotal role in endometrial regeneration and repair by differentiating into various cell types within the endometrium. However, their involvement in endometrial disorders such as endometriosis, infertility, and endometrial cancer is still not fully understood yet. Traditional bulk sequencing methods have limitations in capturing heterogeneity and complexity of endometrial stem cell populations. To overcome these limitations, recent single-cell analysis techniques, including single-cell RNA sequencing (scRNA-Seq), single-cell ATAC sequencing (scATAC-Seq), and spatial transcriptomics, have emerged as valuable tools for studying endometrial stem cells. In this review, although there are still many technical limitations that require improvement, we will summarize the current state-of-the-art single-cell analysis techniques for endometrial stem cells and explore their relevance to related diseases. We will discuss studies utilizing various single-cell analysis platforms to identify and characterize distinct endometrial stem cell populations and investigate their dynamic changes in gene expression and epigenetic patterns during menstrual cycle and differentiation processes. These techniques enable the identification of rare cell populations, capture heterogeneity of cell populations within the endometrium, and provide potential targets for more effective therapies. |
| Related Links | https://stemcellres.biomedcentral.com/counter/pdf/10.1186/s13287-023-03616-w.pdf |
| Ending Page | 15 |
| Page Count | 15 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 17576512 |
| DOI | 10.1186/s13287-023-03616-w |
| Journal | Stem Cell Research & Therapy |
| Issue Number | 1 |
| Volume Number | 14 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2023-12-20 |
| Access Restriction | Open |
| Subject Keyword | Stem Cells Cell Biology Regenerative Medicine Tissue Engineering Biomedical Engineering and Bioengineering Endometrial stem cells Single-cell analysis ScRNA-seq ScATAC-seq Spatial transcriptomics Regenerative Medicine/Tissue Engineering |
| Content Type | Text |
| Resource Type | Review |
| Subject | Cell Biology Medicine Biochemistry, Genetics and Molecular Biology Molecular Medicine |
| Journal Impact Factor | 7.1/2023 |
| 5-Year Journal Impact Factor | 7.9/2023 |
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