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000306550 1001_ $$0P:(DE-He78)8379c86250c50c0537999a6576e18aa7$$aShang, Fuwei$$b0$$eFirst author$$udkfz
000306550 245__ $$aMultipotent progenitors with distinct origins, clonal lineage fates, transcriptomes, and surface markers yield two hematopoietic trees.
000306550 260__ $$aWashington, DC$$bNational Acad. of Sciences$$c2025
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000306550 520__ $$aMultipotent progenitors (MPP) are the quantitative source of native hematopoiesis that have been thought to be replenished slowly by hematopoietic stem cells (HSC). However, recent fate mapping studies have revealed two developmentally distinct populations of MPP, HSC-derived MPP (hMPP), and HSC-independent, embryonic MPP (eMPP). These data raise fundamental questions on the distinctions and functions of these progenitors. Here, we mapped the clonal dynamics of the two independent MPP systems, using in situ barcoding, and barcode linkage (hMPP), or disconnect (eMPP), with HSC. The cumulative output of eMPP to hematopoiesis was 35%, and their output was enriched for lymphoid fates. Conversely, hMPP output was enriched for myeloid-restricted fates. Distinguishing HSC from eMPP outputs revealed that only ~15% of adult HSC clones underwent multilineage differentiation (lymphoid, myeloid, and erythroid). To prospectively identify eMPP, we developed PolySMART for joint profiling of PolyloxExpress RNA barcodes, surface markers, and transcriptomes, and we found that the plasma cell marker CD138 enriches for eMPP. CD138+ MPP are primed for self-renewal and toward lymphoid fate, and become largely but not completely replaced by CD138- MPP over time, which may contribute to the loss of lymphoid output with age. Taken together, adult hematopoiesis consists of two distinct lineage trees. The source of the 'eMPP tree' substantially contributes to hematopoiesis before it declines, while the HSC-hMPP tree supplies hematopoiesis life-long. Our molecular determinants distinguishing the two MPP systems may open avenues to further explore these unexpected layers of hematopoiesis.
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000306550 650_7 $$2Other$$abarcoding
000306550 650_7 $$2Other$$afate mapping
000306550 650_7 $$2Other$$alayers of hematopoiesis
000306550 650_7 $$2Other$$astem and progenitor cells
000306550 650_7 $$2Other$$asurface marker identification
000306550 650_7 $$2NLM Chemicals$$aBiomarkers
000306550 650_2 $$2MeSH$$aAnimals
000306550 650_2 $$2MeSH$$aHematopoietic Stem Cells: cytology
000306550 650_2 $$2MeSH$$aHematopoietic Stem Cells: metabolism
000306550 650_2 $$2MeSH$$aCell Lineage
000306550 650_2 $$2MeSH$$aMice
000306550 650_2 $$2MeSH$$aTranscriptome
000306550 650_2 $$2MeSH$$aMultipotent Stem Cells: cytology
000306550 650_2 $$2MeSH$$aMultipotent Stem Cells: metabolism
000306550 650_2 $$2MeSH$$aHematopoiesis: physiology
000306550 650_2 $$2MeSH$$aCell Differentiation
000306550 650_2 $$2MeSH$$aBiomarkers: metabolism
000306550 650_2 $$2MeSH$$aMice, Inbred C57BL
000306550 7001_ $$0P:(DE-He78)3f7fa2db8bbc27a20c1a1b404e334778$$aNizharadze, Tamar$$b1$$udkfz
000306550 7001_ $$0P:(DE-He78)bd6d637754018029a917097fd6a08ea6$$aThiele, Robin$$b2$$udkfz
000306550 7001_ $$0P:(DE-He78)b1cc9c3971aa3a67bf5a96b7ba55d3e5$$aCirovic, Branko$$b3$$udkfz
000306550 7001_ $$0P:(DE-He78)39a49c469ce7484849bd199f19bb1aae$$aFrank, Larissa Johanna$$b4$$udkfz
000306550 7001_ $$0P:(DE-He78)6695811f3270b3dbe3d06842e2ca55cd$$aBusch, Katrin$$b5$$udkfz
000306550 7001_ $$0P:(DE-HGF)0$$aPei, Weike$$b6
000306550 7001_ $$0P:(DE-He78)ec832b560b08e92bd09a1ad2bbe702dc$$aFeyerabend, Thorsten$$b7$$udkfz
000306550 7001_ $$0P:(DE-He78)9dbe272aaadbdc810ab0bb291eae428e$$aHöfer, Thomas$$b8$$udkfz
000306550 7001_ $$aWang, Xi$$b9
000306550 7001_ $$0P:(DE-He78)86fa3316b7be0d661065d02b3baec3d6$$aRodewald, Hans-Reimer$$b10$$eLast author$$udkfz
000306550 773__ $$0PERI:(DE-600)1461794-8$$a10.1073/pnas.2505510122$$gVol. 122, no. 48, p. e2505510122$$n48$$pe2505510122$$tProceedings of the National Academy of Sciences of the United States of America$$v122$$x0027-8424$$y2025
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