ArticleMolecular & cellular proteomics : MCP2019
Sensitive Quantitative Proteomics of Human Hematopoietic Stem and Progenitor Cells by Data-independent Acquisition Mass Spectrometry.
Article in Molecular & cellular proteomics : MCP, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.
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Who cites it
32 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The proteomic architecture of clonal hematopoiesis: a systematic review of niche remodeling and multi-compartment predictors of malignant transformation.Frontiers in medicine · 2026Pooled it
- The pursuit of ultrasensitive phosphoproteomics to unravel signalling in rare cells.Communications biology · 2025Review
- Trimodal Single-Cell Gene Regulatory Networks Reveal Principles of Stemness Loss and Cell Fate Acquisition in Human Hematopoiesis.bioRxiv : the preprint server for biology · 2025Article
- Multiplexed phosphoproteomics of low cell numbers using SPARCE.Communications biology · 2025Article
- Proteomics reveals dynamic metabolic changes in human hematopoietic stem progenitor cells from fetal to adulthood.Stem cell research & therapy · 2024Article
- Review
- Droplet-based proteomics reveals CD36 as a marker for progenitors in mammary basal epithelium.Cell reports methods · 2024Article
- SMYD3: a new regulator of adipocyte precursor proliferation at the early steps of differentiation.International journal of obesity (2005) · 2024Article
- Serum proteomics identifies novel diagnostic biomarkers for asthma in preschool children.Journal of thoracic disease · 2024Article
- Proteomics to study cancer immunity and improve treatment.Seminars in immunopathology · 2023Review
- Article
- Characterization of naked mole-rat hematopoiesis reveals unique stem and progenitor cell patterns and neotenic traits.The EMBO journal · 2022Article
- Proteomic identification of proliferation and progression markers in human polycythemia vera stem and progenitor cells.Blood advances · 2022Article
- Stress vulnerability shapes disruption of motor cortical neuroplasticity.Translational psychiatry · 2022Article
- Calibr improves spectral library search for spectrum-centric analysis of data independent acquisition proteomics.Scientific reports · 2022Article
- The Opportunity of Proteomics to Advance the Understanding of Intra- and Extracellular Regulation of Malignant Hematopoiesis.Frontiers in cell and developmental biology · 2022Review
- Sca1Stem cell reviews and reports · 2021Article
- Multi-omics reveals clinically relevant proliferative drive associated with mTOR-MYC-OXPHOS activity in chronic lymphocytic leukemia.Nature cancer · 2021Article
- Article
- A Universal and High-Throughput Proteomics Sample Preparation Platform.Analytical chemistry · 2021Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Physiological processes in multicellular organisms depend on the function and interactions of specialized cell types operating in context. Some of these cell types are rare and thus obtainable only in minute quantities. For example, tissue-specific stem and progenitor cells are numerically scarce, but functionally highly relevant, and fulfill critical roles in development, tissue maintenance, and disease. Whereas low numbers of cells are routinely analyzed by genomics and transcriptomics, corresponding proteomic analyses have so far not been possible due to methodological limitations. Here we describe a sensitive and robust quantitative technique based on data-independent acquisition mass spectrometry. We quantified the proteome of sets of 25,000 human hematopoietic stem/multipotent progenitor cells (HSC/MPP) and three committed progenitor cell subpopulations of the myeloid differentiation pathway (common myeloid progenitors, megakaryocyte-erythrocyte progenitors, and granulocyte-macrophage progenitors), isolated by fluorescence-activated cell sorting from five healthy donors. On average, 5,851 protein groups were identified per sample. A subset of 4,131 stringently filtered protein groups was quantitatively compared across the 20 samples, defining unique signatures for each subpopulation. A comparison of proteomic and transcriptomic profiles indicated HSC/MPP-specific divergent regulation of biochemical functions such as telomerase maintenance and quiescence-inducing enzymes, including isocitrate dehydrogenases. These are essential for maintaining stemness and were detected at proteome, but not transcriptome, level. The method is equally applicable to almost any rare cell type, including healthy and cancer stem cells or physiologically and pathologically infiltrating cell populations. It thus provides essential new information toward the detailed biochemical understanding of cell development and functionality in health and disease.
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