Evidence map›Paper›PMID 30975897›Full record

ArticleMolecular & cellular proteomics : MCP2019

Sensitive Quantitative Proteomics of Human Hematopoietic Stem and Progenitor Cells by Data-independent Acquisition Mass Spectrometry.

Sabine Amon, Fabienne Meier-Abt, Ludovic C Gillet, Slavica Dimitrieva, Alexandre P A Theocharides, Markus G Manz, Ruedi Aebersold

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  17. Sca1Stem cell reviews and reports · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Sabine AmonFrom the ‡Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, 8093 Zurich, Switzerland.
Fabienne Meier-AbtFrom the ‡Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, 8093 Zurich, Switzerland;; §Hematology, University and University Hospital Zurich, 8091 Zurich, Switzerland.
Ludovic C GilletFrom the ‡Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, 8093 Zurich, Switzerland.
Slavica Dimitrieva¶Functional Genomics Center Zurich, ETH Zurich and University of Zurich, 8057 Zurich, Switzerland.
Alexandre P A Theocharides§Hematology, University and University Hospital Zurich, 8091 Zurich, Switzerland.
Markus G Manz§Hematology, University and University Hospital Zurich, 8091 Zurich, Switzerland.
Ruedi AebersoldFrom the ‡Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, 8093 Zurich, Switzerland;; ‖Faculty of Science, University of Zurich, 8057 Zurich, Switzerland. Electronic address: aebersold@imsb.biol.ethz.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

ProteomicsGene OntologyHEK293 CellsHematopoietic Stem CellsHumansMass SpectrometryProteomeTranscriptomeTrypsinProteomeTrypsinCell SortingClinical ProteomicsData-Independent Acquisition Mass SpectrometryDifferentiation*Fluorescence-Activated Cell SortingHematopoietic Stem and Progenitor CellsLow Cell NumberMass SpectrometryProteomicsQuantification

Identifiers

PMID30975897
PMCPMC6601215

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.