bioRxivCancer BiologyPreprint
Ecological determinants of disease and immunity in myelodysplastic syndromes
Robert F. StanleyiD, Beatrice D. ZhangiD, Kimon V. ArgyropoulosiD, P ZhangiD, Maxim I. MaroniD, Brianna GipsoniD, C. Y. Park, Kenyon WeisiD, Alexander M. LewisiD, Zoe KatsamakisiD, Charlotte WishnackiD, Maria Adriana CuibusiD, Ning FaniD, Karen Zhao, Kenton WuiD, Catherine Snopkowski, Joshua T. WeinrebiD, Jeetayu BiswasiD, Matthew ZatzmaniD, Nathan AleynickiD, Leonardo BoiocchiiD, Megan S. LimiD, Roni TamariiD, Jonathan U. PelediD, Gunjan Shah, , Susan DeWolfiD
Abstract
Myelodysplastic syndromes (MDS) are clonal hematopoietic malignancies characterized by ineffective hematopoiesis, dysplastic morphology, and risk of progression to acute myeloid leukemia. While genomic alterations intrinsic to malignant MDS disease-initiating cells have been well-characterized, molecular assessment of the bone marrow in situ has been limited. Here we present single cell spatial assessment of gene expression, T cell receptors, as well as MDS-defining mutations and RNA isoforms within fixed, decalcified human bone marrow core biopsies (41 MDS, 15 controls) paired with single cell immunogenomic analysis of bone marrow aspirates (35 MDS, 6 controls). Bone marrow spatial analyses of >7.47x106 cells identified hematopoietic and non-hematopoietic populations not readily captured in dissociated tissue. We developed computational methods to compare ecological niche structures, revealing enriched hematopoietic niches and reorganization of T cell immunity in MDS patient bone marrow. In situ genotyping of mutant cells revealed increased TGF{beta} expression in malignant megakaryocytes suppressing local T cell cytotoxicity. By contrast, TGF{beta} signaling was disrupted in mutant cells due to aberrant splicing of multiple TGF{beta} signaling components. This study provides a spatially resolved landscape of human MDS bone marrow and uncovers mechanisms by which malignant cells simultaneously promote intrinsic clonal persistence while rewiring the microenvironment for immune escape.
- organism: human
- assay: spatial transcriptomics
- assay: scRNA-seq
- research focus: cell type annotation
- research focus: spatial domain detection
- research focus: cell-cell communication
- approach: deep learning
- approach: statistical model
- Citations
- 1
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