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

Loading...
Thumbnail Image
Penn collection
School of Dental Medicine::Departmental Papers (Dental)
Degree type
Discipline
Dentistry
Subject
bone marrow
CODEX
hematopoiesis
leukemia
mesenchymal
microenvironment
neighborhood
signaling
single-cell
spatial omics
Funder
Grant number
Copyright date
2024-06-06
Distributor
Related resources
Author
Bandyopadhyay, Shovik
Duffy, Michael P.
Ahn, Kyung Jin
Sussman, Jonathan H.
Pang, Minxing
Smith, David
Duncan, Gwendolyn
Zhang, Iris
Huang, Jeffrey
Lin, Yulieh
Contributor
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. © 2024 The Author(s)

Advisor
Date Range for Data Collection (Start Date)
Date Range for Data Collection (End Date)
Digital Object Identifier
Series name and number
Publication date
2024-06-06
Journal title
Cell
Volume number
Issue number
Publisher
Elsevier
Publisher DOI
10.1016/j.cell.2024.04.013
Journal Issue
Comments
Recommended citation
Collection