New techniques for single-cell analysis have led to insights into hematopoiesis and the immune system, but the ability of these techniques to cross-validate and reproducibly identify the biological variation in diverse human samples is currently unproven. We therefore performed a comprehensive assessment of human bone marrow cells using both single-cell RNA sequencing and multiparameter flow cytometry from 20 healthy adult human donors across a broad age range. These data characterize variation between healthy donors as well as age-associated changes in cell population frequencies. Direct comparison of techniques revealed discrepancy in the quantification of T lymphocyte and natural killer cell populations. Orthogonal validation of immunophenotyping using mass cytometry demonstrated a strong correlation with flow cytometry. Technical replicates using single-cell RNA sequencing matched robustly, while biological replicates showed variation. Given the increasing use of single-cell technologies in translational research, this resource serves as an important reference data set and highlights opportunities for further refinement.
Human bone marrow assessment by single-cell RNA sequencing, mass cytometry, and flow cytometry.
利用单细胞 RNA 测序、质谱流式细胞术和流式细胞术对人类骨髓进行评估
阅读:3
作者:Oetjen Karolyn A, Lindblad Katherine E, Goswami Meghali, Gui Gege, Dagur Pradeep K, Lai Catherine, Dillon Laura W, McCoy J Philip, Hourigan Christopher S
| 期刊: | JCI Insight | 影响因子: | 6.100 |
| 时间: | 2018 | 起止号: | 2018 Dec 6; 3(23):e124928 |
| doi: | 10.1172/jci.insight.124928 | 种属: | Human |
| 方法学: | FCM | 研究方向: | 细胞生物学 |
特别声明
1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。
2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。
3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。
4、投稿及合作请联系:info@biocloudy.com。
