Summary of Study ST002983
This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR001858. The data can be accessed directly via it's Project DOI: 10.21228/M8JM83 This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.
| Study ID | ST002983 |
| Study Title | Deciphering the metabolic heterogeneity of hematopoietic stem cells with single-cell resolution |
| Study Summary | Metabolic status is crucial for stem cell functions; however, the metabolic heterogeneity of endogenous stem cells has never been directly assessed. Here, we develop a platform for high-throughput single-cell metabolomics (hi-scMet) of hematopoietic stem cells (HSCs). By combining flow cytometric isolation and nanoparticle-enhanced laser desorption/ionization mass spectrometry, we routinely detected >100 features from single cells. We mapped the single-cell metabolomes of all hematopoietic cell populations, and HSC subpopulations with different division times, detecting 33 features whose levels exhibited trending changes during HSC proliferation. We found progressive activation of oxidative pentose phosphate pathway (OxiPPP) from dormant to active HSCs. Genetic or pharmacological interference with OxiPPP increased reactive oxygen species level in HSCs, reducing HSC self-renewal upon oxidative stress. Together, our work uncovers the metabolic dynamics during HSC proliferation, reveals a role of OxiPPP for HSC activation, and illustrates the utility of hi-scMet in dissecting metabolic heterogeneity of immunophenotypically defined cell populations. |
| Institute | Shanghai Jiao Tong University |
| Last Name | CAO |
| First Name | JING |
| Address | 1954 Huashan Road, Shanghai, Shanghai, 200030, China |
| caojing1@sjtu.edu.cn | |
| Phone | +8615201957271 |
| Submit Date | 2023-11-21 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | .txt |
| Analysis Type Detail | MALDI |
| Release Date | 2023-11-28 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Factors:
Subject type: Mammal; Subject species: Mus musculus (Factor headings shown in green)
| mb_sample_id | local_sample_id | Celltype |
|---|---|---|
| SA323635 | HSCa_27 | HSCa |
| SA323636 | HSCa_28 | HSCa |
| SA323637 | HSCa_29 | HSCa |
| SA323638 | HSCa_26 | HSCa |
| SA323639 | HSCa_24 | HSCa |
| SA323640 | HSCa_22 | HSCa |
| SA323641 | HSCa_23 | HSCa |
| SA323642 | HSCa_31 | HSCa |
| SA323643 | HSCa_25 | HSCa |
| SA323644 | HSCa_33 | HSCa |
| SA323645 | HSCa_38 | HSCa |
| SA323646 | HSCa_39 | HSCa |
| SA323647 | HSCa_1 | HSCa |
| SA323648 | HSCa_37 | HSCa |
| SA323649 | HSCa_36 | HSCa |
| SA323650 | HSCa_21 | HSCa |
| SA323651 | HSCa_34 | HSCa |
| SA323652 | HSCa_35 | HSCa |
| SA323653 | HSCa_32 | HSCa |
| SA323654 | HSCa_30 | HSCa |
| SA323655 | HSCa_7 | HSCa |
| SA323656 | HSCa_8 | HSCa |
| SA323657 | HSCa_9 | HSCa |
| SA323658 | HSCa_10 | HSCa |
| SA323659 | HSCa_6 | HSCa |
| SA323660 | HSCa_5 | HSCa |
| SA323661 | HSCa_2 | HSCa |
| SA323662 | HSCa_20 | HSCa |
| SA323663 | HSCa_4 | HSCa |
| SA323664 | HSCa_11 | HSCa |
| SA323665 | HSCa_3 | HSCa |
| SA323666 | HSCa_17 | HSCa |
| SA323667 | HSCa_18 | HSCa |
| SA323668 | HSCa_12 | HSCa |
| SA323669 | HSCa_16 | HSCa |
| SA323670 | HSCa_19 | HSCa |
| SA323671 | HSCa_13 | HSCa |
| SA323672 | HSCa_14 | HSCa |
| SA323673 | HSCa_15 | HSCa |
| SA323674 | HSCb_28 | HSCb |
| SA323675 | HSCb_30 | HSCb |
| SA323676 | HSCb_23 | HSCb |
| SA323677 | HSCb_29 | HSCb |
| SA323678 | HSCb_25 | HSCb |
| SA323679 | HSCb_31 | HSCb |
| SA323680 | HSCb_24 | HSCb |
| SA323681 | HSCb_26 | HSCb |
| SA323682 | HSCb_27 | HSCb |
| SA323683 | HSCb_36 | HSCb |
| SA323684 | HSCb_39 | HSCb |
| SA323685 | HSCb_40 | HSCb |
| SA323686 | HSCb_22 | HSCb |
| SA323687 | HSCb_38 | HSCb |
| SA323688 | HSCb_37 | HSCb |
| SA323689 | HSCb_33 | HSCb |
| SA323690 | HSCb_34 | HSCb |
| SA323691 | HSCb_35 | HSCb |
| SA323692 | HSCb_32 | HSCb |
| SA323693 | HSCb_11 | HSCb |
| SA323694 | HSCb_6 | HSCb |
| SA323695 | HSCb_7 | HSCb |
| SA323696 | HSCb_8 | HSCb |
| SA323697 | HSCb_9 | HSCb |
| SA323698 | HSCb_5 | HSCb |
| SA323699 | HSCb_4 | HSCb |
| SA323700 | HSCb_1 | HSCb |
| SA323701 | HSCb_21 | HSCb |
| SA323702 | HSCb_3 | HSCb |
| SA323703 | HSCb_10 | HSCb |
| SA323704 | HSCb_2 | HSCb |
| SA323705 | HSCb_17 | HSCb |
| SA323706 | HSCb_18 | HSCb |
| SA323707 | HSCb_20 | HSCb |
| SA323708 | HSCb_16 | HSCb |
| SA323709 | HSCb_19 | HSCb |
| SA323710 | HSCb_12 | HSCb |
| SA323711 | HSCb_15 | HSCb |
| SA323712 | HSCb_13 | HSCb |
| SA323713 | HSCb_14 | HSCb |
| SA323714 | HSCc_27 | HSCc |
| SA323715 | HSCc_29 | HSCc |
| SA323716 | HSCc_26 | HSCc |
| SA323717 | HSCc_28 | HSCc |
| SA323718 | HSCc_23 | HSCc |
| SA323719 | HSCc_30 | HSCc |
| SA323720 | HSCc_22 | HSCc |
| SA323721 | HSCc_24 | HSCc |
| SA323722 | HSCc_25 | HSCc |
| SA323723 | HSCc_36 | HSCc |
| SA323724 | HSCc_37 | HSCc |
| SA323725 | HSCc_38 | HSCc |
| SA323726 | HSCc_39 | HSCc |
| SA323727 | HSCc_21 | HSCc |
| SA323728 | HSCc_35 | HSCc |
| SA323729 | HSCc_32 | HSCc |
| SA323730 | HSCc_33 | HSCc |
| SA323731 | HSCc_34 | HSCc |
| SA323732 | HSCc_31 | HSCc |
| SA323733 | HSCc_2 | HSCc |
| SA323734 | HSCc_6 | HSCc |
