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      Human haematopoietic stem cell lineage commitment is a continuous process

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          Abstract

          Blood formation is believed to occur through step-wise progression of haematopoietic stem cells (HSCs) following a tree-like hierarchy of oligo-, bi- and unipotent progenitors. However, this model is based on the analysis of predefined flow-sorted cell populations. Here we integrated flow cytometric, transcriptomic and functional data at single-cell resolution to quantitatively map early differentiation of human HSCs towards lineage commitment. During homeostasis, individual HSCs gradually acquire lineage biases along multiple directions without passing through discrete hierarchically organized progenitor populations. Instead, unilineage-restricted cells emerge directly from a “Continuum of LOw primed UnDifferentiated hematopoietic stem- and progenitor cells” (CLOUD-HSPCs). Distinct gene expression modules operate in a combinatorial manner to control stemness, early lineage priming and the subsequent progression into all major branches of haematopoiesis. These data reveal a continuous landscape of human steady state haematopoiesis downstream of HSCs and provide a basis for the understanding of hematopoietic malignancies.

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          Most cited references29

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          IFNalpha activates dormant haematopoietic stem cells in vivo.

          Maintenance of the blood system is dependent on dormant haematopoietic stem cells (HSCs) with long-term self-renewal capacity. After injury these cells are induced to proliferate to quickly re-establish homeostasis. The signalling molecules promoting the exit of HSCs out of the dormant stage remain largely unknown. Here we show that in response to treatment of mice with interferon-alpha (IFNalpha), HSCs efficiently exit G(0) and enter an active cell cycle. HSCs respond to IFNalpha treatment by the increased phosphorylation of STAT1 and PKB/Akt (also known as AKT1), the expression of IFNalpha target genes, and the upregulation of stem cell antigen-1 (Sca-1, also known as LY6A). HSCs lacking the IFNalpha/beta receptor (IFNAR), STAT1 (ref. 3) or Sca-1 (ref. 4) are insensitive to IFNalpha stimulation, demonstrating that STAT1 and Sca-1 mediate IFNalpha-induced HSC proliferation. Although dormant HSCs are resistant to the anti-proliferative chemotherapeutic agent 5-fluoro-uracil, HSCs pre-treated (primed) with IFNalpha and thus induced to proliferate are efficiently eliminated by 5-fluoro-uracil exposure in vivo. Conversely, HSCs chronically activated by IFNalpha are functionally compromised and are rapidly out-competed by non-activatable Ifnar(-/-) cells in competitive repopulation assays. Whereas chronic activation of the IFNalpha pathway in HSCs impairs their function, acute IFNalpha treatment promotes the proliferation of dormant HSCs in vivo. These data may help to clarify the so far unexplained clinical effects of IFNalpha on leukaemic cells, and raise the possibility for new applications of type I interferons to target cancer stem cells.
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            Identification of clonogenic common lymphoid progenitors in mouse bone marrow.

            The existence of a common lymphoid progenitor that can only give rise to T cells, B cells, and natural killer (NK) cells remains controversial and constitutes an important gap in the hematopoietic lineage maps. Here, we report that the Lin(-)IL-7R(+)Thy-1(-)Sca-1loc-Kit(lo) population from adult mouse bone marrow possessed a rapid lymphoid-restricted (T, B, and NK) reconstitution capacity in vivo but completely lacked myeloid differentiation potential either in vivo or in vitro. A single Lin(-)IL-7R(+)Thy-1(-)Sca-1loc-Kit(lo) cell could generate at least both T and B cells. These data provide direct evidence for the existence of common lymphoid progenitors in sites of early hematopoiesis.
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              Single-Cell RNA-Seq with Waterfall Reveals Molecular Cascades underlying Adult Neurogenesis.

              Somatic stem cells contribute to tissue ontogenesis, homeostasis, and regeneration through sequential processes. Systematic molecular analysis of stem cell behavior is challenging because classic approaches cannot resolve cellular heterogeneity or capture developmental dynamics. Here we provide a comprehensive resource of single-cell transcriptomes of adult hippocampal quiescent neural stem cells (qNSCs) and their immediate progeny. We further developed Waterfall, a bioinformatic pipeline, to statistically quantify singe-cell gene expression along a de novo reconstructed continuous developmental trajectory. Our study reveals molecular signatures of adult qNSCs, characterized by active niche signaling integration and low protein translation capacity. Our analyses further delineate molecular cascades underlying qNSC activation and neurogenesis initiation, exemplified by decreased extrinsic signaling capacity, primed translational machinery, and regulatory switches in transcription factors, metabolism, and energy sources. Our study reveals the molecular continuum underlying adult neurogenesis and illustrates how Waterfall can be used for single-cell omics analyses of various continuous biological processes.
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                Author and article information

                Journal
                100890575
                21417
                Nat Cell Biol
                Nat. Cell Biol.
                Nature cell biology
                1465-7392
                1476-4679
                5 May 2017
                20 March 2017
                April 2017
                20 September 2017
                : 19
                : 4
                : 271-281
                Affiliations
                [1 ]European Molecular Biology Laboratory (EMBL), Genome Biology Unit, 69117 Heidelberg, Germany
                [2 ]Heidelberg Institute for Stem Cell Technology and Experimental Medicine (HI-STEM gGmbH), 69120 Heidelberg, Germany
                [3 ]Division of Stem Cells and Cancer, Haematopoietic Stem Cells and Stress Group, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
                [4 ]Division of Stem Cells and Cancer, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
                [5 ]Department of Internal Medicine V, University of Heidelberg, 69120 Heidelberg, Germany
                [6 ]Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA
                [7 ]Department of Hematology and Oncology, Medical Faculty Mannheim, University of Heidelberg, 68167 Mannheim, Germany
                [8 ]German Cancer Consortium (DKTK)
                [9 ]Stanford Genome Technology Center, Palo Alto, California 94304, USA
                Author notes
                [* ]Correspondence should be addressed to AT ( a.trumpp@ 123456dkfz-heidelberg.de ), MAGE ( m.essers@ 123456dkfz-heidelberg.de ) or LMS ( larsms@ 123456embl.de )
                [10]

                Co-senior author

                [#]

                These authors contributed equally to this work

                Article
                NIHMS854264
                10.1038/ncb3493
                5496982
                28319093
                aecb1cd0-bc5f-4f2c-996c-871e0d76f1f2

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                Cell biology
                Cell biology

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