Cell population characterization and discovery using single-cell technologies in endocrine systems
| Autor: | Karine Rizzoti, Leonard Y.M. Cheung |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0301 basic medicine
Rare cell Population Cell Endocrine System 030209 endocrinology & metabolism Computational biology Biology Transcriptome 03 medical and health sciences 0302 clinical medicine Endocrinology Morphogenesis medicine Animals Humans Endocrine system education Molecular Biology education.field_of_study Reproduction Disease mechanisms Epigenome Sex Determination Processes Cell identity 030104 developmental biology medicine.anatomical_structure Single-Cell Analysis |
| Zdroj: | Journal of Molecular Endocrinology. 65:R35-R51 |
| ISSN: | 1479-6813 0952-5041 |
| DOI: | 10.1530/jme-19-0276 |
| Popis: | In the last 15 years, single-cell technologies have become robust and indispensable tools to investigate cell heterogeneity. Beyond transcriptomic, genomic and epigenome analyses, technologies are constantly evolving, in particular toward multi-omics, where analyses of different source materials from a single cell are combined, and spatial transcriptomics, where resolution of cellular heterogeneity can be detected in situ. While some of these techniques are still being optimized, single-cell RNAseq has commonly been used because the examination of transcriptomes allows characterization of cell identity and, therefore, unravel previously uncharacterized diversity within cell populations. Most endocrine organs have now been investigated using this technique, and this has given new insights into organ embryonic development, characterization of rare cell types, and disease mechanisms. Here, we highlight recent studies, particularly on the hypothalamus and pituitary, and examine recent findings on the pancreas and reproductive organs where many single-cell experiments have been performed. |
| Databáze: | OpenAIRE |
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