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Single-cell multi-omics map of human fetal blood in Down syndrome.
Marderstein, Andrew R; De Zuani, Marco; Moeller, Rebecca; Bezney, Jon; Padhi, Evin M; Wong, Shuo; Coorens, Tim H H; Xie, Yilin; Xue, Haoliang; Montgomery, Stephen B; Cvejic, Ana.
  • Marderstein AR; Department of Pathology, Stanford University, Stanford, CA, USA.
  • De Zuani M; Department of Haematology, University of Cambridge, Cambridge, UK.
  • Moeller R; Cambridge Stem Cell Institute, Cambridge, UK.
  • Bezney J; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK.
  • Padhi EM; Biotech Research & Innovation Centre (BRIC), University of Copenhagen, Copenhagen, Denmark.
  • Wong S; Department of Genetics, Stanford University, Stanford, CA, USA.
  • Coorens THH; Department of Pathology, Stanford University, Stanford, CA, USA.
  • Xie Y; Department of Haematology, University of Cambridge, Cambridge, UK.
  • Xue H; Cambridge Stem Cell Institute, Cambridge, UK.
  • Montgomery SB; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK.
  • Cvejic A; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Nature ; 2024 Sep 25.
Article en En | MEDLINE | ID: mdl-39322663
ABSTRACT
Down syndrome predisposes individuals to haematological abnormalities, such as increased number of erythrocytes and leukaemia in a process that is initiated before birth and is not entirely understood1-3. Here, to understand dysregulated haematopoiesis in Down syndrome, we integrated single-cell transcriptomics of over 1.1 million cells with chromatin accessibility and spatial transcriptomics datasets using human fetal liver and bone marrow samples from 3 fetuses with disomy and 15 fetuses with trisomy. We found that differences in gene expression in Down syndrome were dependent on both cell type and environment. Furthermore, we found multiple lines of evidence that haematopoietic stem cells (HSCs) in Down syndrome are 'primed' to differentiate. We subsequently established a Down syndrome-specific map linking non-coding elements to genes in disomic and trisomic HSCs using 10X multiome data. By integrating this map with genetic variants associated with blood cell counts, we discovered that trisomy restructured regulatory interactions to dysregulate enhancer activity and gene expression critical to erythroid lineage differentiation. Furthermore, as mutations in Down syndrome display a signature of oxidative stress4,5, we validated both increased mitochondrial mass and oxidative stress in Down syndrome, and observed that these mutations preferentially fell into regulatory regions of expressed genes in HSCs. Together, our single-cell, multi-omic resource provides a high-resolution molecular map of fetal haematopoiesis in Down syndrome and indicates significant regulatory restructuring giving rise to co-occurring haematological conditions.

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2024 Tipo del documento: Article