Mapping the cellular biogeography of human bone marrow niches using single-cell transcriptomics and proteomic imaging

Shovik Bandyopadhyay(University of Pennsylvania), Michael P. Duffy(University of Pennsylvania), Kyung Jin Ahn(Children's Hospital of Philadelphia), Jonathan Sussman(University of Pennsylvania), Minxing Pang(Applied Mathematics (United States)), David W. Smith(Children's Hospital of Philadelphia), G S Duncan(University of Pennsylvania), Iris Zhang(University of Pennsylvania), Jeffrey Huang(University of Pennsylvania), Yulieh Lin(University of Pennsylvania), Barbara Xiong(University of Pennsylvania), Tamjid Imtiaz(University of Pennsylvania), Chia-Hui Chen(Children's Hospital of Philadelphia), Anusha Thadi(Children's Hospital of Philadelphia), Changya Chen(Children's Hospital of Philadelphia), Jason Xu(University of Pennsylvania), Mélissa Reichart(University of Pennsylvania), Zachary Martinez(Children's Hospital of Philadelphia), Caroline Diorio(Children's Hospital of Philadelphia), Chider Chen(Children's Hospital of Philadelphia), Vinodh Pillai(University of Pennsylvania), Oraine Snaith(University of Pennsylvania), Derek A. Oldridge(University of Pennsylvania), Siddharth Bhattacharyya(University of Pennsylvania), Ivan Maillard(University of Pennsylvania), Martin Carroll(University of Pennsylvania), Charles L. Nelson(University of Pennsylvania), Ling Qin(University of Pennsylvania), Kai Tan(Children's Hospital of Philadelphia)
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Abstract

Non-hematopoietic cells are essential contributors to hematopoiesis. However, heterogeneity and spatial organization of these cells in human bone marrow remain largely uncharacterized. We used single-cell RNA sequencing (scRNA-seq) to profile 29,325 non-hematopoietic cells and discovered nine transcriptionally distinct subtypes. We simultaneously profiled 53,417 hematopoietic cells and predicted their interactions with non-hematopoietic subsets. We employed co-detection by indexing (CODEX) to spatially profile over 1.2 million cells. We integrated scRNA-seq and CODEX data to link predicted cellular signaling with spatial proximity. Our analysis revealed a hyperoxygenated arterio-endosteal neighborhood for early myelopoiesis, and an adipocytic localization for early hematopoietic stem and progenitor cells (HSPCs). We used our CODEX atlas to annotate new images and uncovered mesenchymal stromal cell (MSC) expansion and spatial neighborhoods co-enriched for leukemic blasts and MSCs in acute myeloid leukemia (AML) patient samples. This spatially resolved, multiomic atlas of human bone marrow provides a reference for investigation of cellular interactions that drive hematopoiesis.


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