Academic Journal
[Applications and advances of single-cell omics technologies in hematopoietic stem cell research].
| Τίτλος: | [Applications and advances of single-cell omics technologies in hematopoietic stem cell research]. |
|---|---|
| Συγγραφείς: | Zhang YY; Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China.; Tianjin Institutes of Health Science, Tianjin 301600, China.; PUMC Department of Stem Cell and Regenerative Medicine, Tianjin 300020, China., Dong F; Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China.; Tianjin Institutes of Health Science, Tianjin 301600, China.; PUMC Department of Stem Cell and Regenerative Medicine, Tianjin 300020, China. |
| Πηγή: | Sheng li xue bao : [Acta physiologica Sinica] [Sheng Li Xue Bao] 2026 Aug 25; Vol. 78 (4), pp. 741-761. |
| Τύπος έκδοσης: | Journal Article; Review; English Abstract |
| Γλώσσα: | Chinese |
| Στοιχεία περιοδικού: | Publisher: Science Press Country of Publication: China NLM ID: 20730130R Publication Model: Print Cited Medium: Internet ISSN: 0371-0874 (Print) Linking ISSN: 03710874 NLM ISO Abbreviation: Sheng Li Xue Bao Subsets: MEDLINE |
| Imprint Name(s): | Publication: Beijing : Science Press Original Publication: Beiping, 1953- |
| Ιατρικοί όροι (MeSH): | Hematopoietic Stem Cells*/cytology , Hematopoietic Stem Cells*/metabolism , Single-Cell Analysis*/methods , Stem Cell Research*, Humans ; Multiomics ; Proteomics ; Metabolomics ; Epigenomics ; Animals ; Single-Cell Gene Expression Analysis ; Cell Differentiation ; Genomics |
| Περίληψη: | Stem cells, as a class of cells possessing self-renewal and multipotent differentiation potential, exhibit functional diversity influenced by both intrinsic regulatory networks and external microenvironments. Traditional population-level research methods struggle to precisely resolve cellular heterogeneity, thereby limiting in-depth understanding of stem cell biology. Recent breakthroughs in single-cell analysis technologies have opened new avenues for detailed observation at the cellular level. This review focuses on hematopoietic stem cells as a primary example, summarizing the principles and advancements of single-cell transcriptomics, epigenomics, proteomics, metabolomics, spatialomics, and multi-omics integration analysis. It explores their applications in revealing stem cell heterogeneity, differentiation pathways, and state regulation mechanisms, while also outlining future directions for single-cell technologies in stem cell research. |
| Entry Date(s): | Date Created: 20260901 Date Completed: 20260901 Latest Revision: 20260901 |
| Update Code: | 20260901 |
| DOI: | 10.13294/j.aps.2026.0061 |
| PMID: | 42677406 |
| Βάση Δεδομένων: | MEDLINE |
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