Emerging technologies of single-cell multi-omics
The heterogeneity of the hematopoietic system was largely veiled by traditional bulk sequencing methods, which measure the averaged signals from mixed cellular populations. In contrast, single-cell sequencing has enabled the direct measurement of individual signals from each cell, significantly enh...
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| Format: | Article |
| Language: | English |
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Ferrata Storti Foundation
2025-02-01
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| Series: | Haematologica |
| Online Access: | https://haematologica.org/article/view/11928 |
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| _version_ | 1825208849809801216 |
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| author | Yi June Kim Koichi Takahashi |
| author_facet | Yi June Kim Koichi Takahashi |
| author_sort | Yi June Kim |
| collection | DOAJ |
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The heterogeneity of the hematopoietic system was largely veiled by traditional bulk sequencing methods, which measure the averaged signals from mixed cellular populations. In contrast, single-cell sequencing has enabled the direct measurement of individual signals from each cell, significantly enhancing our ability to unveil such heterogeneity. Building on these advances, numerous single-cell multi-omics techniques have been developed into high-throughput, routinely accessible platforms, delineating the precise relationships among the different layers of the central dogma in molecular biology. These technologies have uncovered the intricate landscape of genetic clonality and transcriptional heterogeneity in both normal and malignant hematopoietic systems, highlighting their roles in differentiation, disease progression, and therapy resistance. This review aims to provide a brief overview of the principles of single-cell technologies, their historical development, and a subset of ever-expanding multi-omics tools, emphasizing the specific research questions that inspired their creation. Amidst the evolving landscape of single-cell multi-omics technologies, our main objective is to guide investigators in selecting the most suitable platforms for their research needs.
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| format | Article |
| id | doaj-art-49e88afe89e744a385c1cdf01c6e5fe0 |
| institution | Kabale University |
| issn | 0390-6078 1592-8721 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Ferrata Storti Foundation |
| record_format | Article |
| series | Haematologica |
| spelling | doaj-art-49e88afe89e744a385c1cdf01c6e5fe02025-02-06T19:45:11ZengFerrata Storti FoundationHaematologica0390-60781592-87212025-02-01999110.3324/haematol.2022.282557Emerging technologies of single-cell multi-omicsYi June Kim0Koichi Takahashi1Departments of Leukemia The University of Texas MD Anderson Cancer Center Houston, TexasDepartments of Leukemia The University of Texas MD Anderson Cancer Center Houston, Texas, USA; Genomic Medicine The University of Texas MD Anderson Cancer Center Houston, Texas The heterogeneity of the hematopoietic system was largely veiled by traditional bulk sequencing methods, which measure the averaged signals from mixed cellular populations. In contrast, single-cell sequencing has enabled the direct measurement of individual signals from each cell, significantly enhancing our ability to unveil such heterogeneity. Building on these advances, numerous single-cell multi-omics techniques have been developed into high-throughput, routinely accessible platforms, delineating the precise relationships among the different layers of the central dogma in molecular biology. These technologies have uncovered the intricate landscape of genetic clonality and transcriptional heterogeneity in both normal and malignant hematopoietic systems, highlighting their roles in differentiation, disease progression, and therapy resistance. This review aims to provide a brief overview of the principles of single-cell technologies, their historical development, and a subset of ever-expanding multi-omics tools, emphasizing the specific research questions that inspired their creation. Amidst the evolving landscape of single-cell multi-omics technologies, our main objective is to guide investigators in selecting the most suitable platforms for their research needs. https://haematologica.org/article/view/11928 |
| spellingShingle | Yi June Kim Koichi Takahashi Emerging technologies of single-cell multi-omics Haematologica |
| title | Emerging technologies of single-cell multi-omics |
| title_full | Emerging technologies of single-cell multi-omics |
| title_fullStr | Emerging technologies of single-cell multi-omics |
| title_full_unstemmed | Emerging technologies of single-cell multi-omics |
| title_short | Emerging technologies of single-cell multi-omics |
| title_sort | emerging technologies of single cell multi omics |
| url | https://haematologica.org/article/view/11928 |
| work_keys_str_mv | AT yijunekim emergingtechnologiesofsinglecellmultiomics AT koichitakahashi emergingtechnologiesofsinglecellmultiomics |