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Mapping the Cellular Biogeography of Human Bone Marrow Niches Using Single-Cell Transcriptomics and Proteomic Imaging

2024 6 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 55 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Shovik Bandyopadhyay, Michael Duffy, Kyung Jin Ahn, Minxing Pang, David W. Smith, G S Duncan, Jonathan Sussman, Iris Zhang, Jeffrey Huang, Yulieh Lin, Barbara Xiong, Tamjid Imtiaz, Chia‐Hui Chen, Anusha Thadi, Changya Chen, Jason Xu, Mélissa Reichart, Vinodh Pillai, Oraine Snaith, Derek A. Oldridge, Siddharth Bhattacharyya, Ivan Maillard, Martin Carroll, Charles L. Nelson, Ling Qin, Kai Tan

Summary

Researchers used advanced single-cell techniques to map the different cell types and their spatial arrangement within human bone marrow. The study identified nine distinct non-blood-cell subtypes and revealed how they are organized in specific neighborhoods, providing new insights into how the bone marrow microenvironment supports blood cell production.

Body Systems
Models

Abstract The bone marrow is the organ responsible for blood production. Diverse non-hematopoietic cells contribute essentially to hematopoiesis. However, these cells and their spatial organization remain largely uncharacterized as they have been technically challenging to study in humans. Here, we used fresh femoral head samples and performed single-cell RNA sequencing (scRNA-Seq) to profile 29,325 enriched non-hematopoietic bone marrow cells and discover nine transcriptionally distinct subtypes. We next employed CO-detection by inDEXing (CODEX) multiplexed imaging of 18 individuals, including both healthy and acute myeloid leukemia (AML) samples, to spatially profile over one million single cells with a novel 53-antibody panel. We discovered a relatively hyperoxygenated arterio-endosteal niche for early myelopoiesis, and an adipocytic, but not endosteal or perivascular, niche for early hematopoietic stem and progenitor cells. We used our atlas to predict cell type labels in new bone marrow images and used these predictions to uncover mesenchymal stromal cell (MSC) expansion and leukemic blast/MSC-enriched spatial neighborhoods in AML patient samples. Our work represents the first comprehensive, spatially-resolved multiomic atlas of human bone marrow and will serve as a reference for future investigation of cellular interactions that drive hematopoiesis.

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