Tissue Mapping Center

Multimodal Histologic Atlas of Human Bone Marrow

 

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Abstract

Bone marrow produces blood cells with functions ranging from oxygen delivery to anti-microbial defense to hemostasis, all originating from hematopoietic stem cells (HSC). To sustain and regulate these processes, bone marrow stromal cells form multiple niche microenvironments, each tailored to the needs of a particular developing blood cell population. The interdependence between bone marrow tissue structure and hematopoiesis is informative not just in blood cell maturation, but for understanding metabolism, aging, and development of cellular therapies. Using highly multiplexed imaging technologies, our proposed Bone Marrow Tissue Mapping Center (TMC) aims to systematically and quantitatively dissect the cellular composition and spatial organization of human bone marrow microenvironments. The resulting detailed maps will serve as an open and global platform for understanding which cells and interactions are critical for each branch of hematopoietic maturation and how they vary by anatomical site and across diverse patient demographics. The TMC will define cellular identities and states at the transcriptional, translational, and post-translational levels using Nanostring DSP, Multiplexed Ion Beam Imaging (MIBI), and MALDI-MSI, which generate quantitative spatial maps of RNA, protein, and N-glycans, respectively. The Data Analysis Core team has pioneered several novel data processing pipelines, including pixel-based analyses, cell-based analyses (as well as state-of-the-art cell segmentation and cell clustering and enumeration), and neighborhood analyses. These tools are broadly applicable to all highly multiplexed quantitative imaging technologies. Our cross-disciplinary team includes: the inventors of MIBI; a pioneer of MALDI-MSI; specialists in human HSCs and human hematopoiesis; and a practicing hematopathologist with expertise in histopathologic bone marrow diagnosis. To overcome the unique challenges of working with hard, mineralized bone, we will leverage parallel, robust, clinically validated bone marrow processing pipelines, which maximize and standardize sample quality and compatibility with current and future technologies. Integrating seamlessly into standard clinical workflows, our pipelines enable convenient sharing of prospectively collected materials with the tissue core. Samples will be collected from three different sources: (1) prospective, patient-matched, multiple anatomical site collection from deceased donors to examine differences between anatomical sites; (2) prospective collection of femoral head from hip arthroplasty specimens for differences between age ranges; (3) iliac crest bone in the Stanford Pathology archive for differences between races and genders. These multiple collection strategies and sites, along with different investigational foci, complement prior HuBMAP projects.

Public health relevance statement

Defining bone marrow cell identities and states using quantitative spatial maps of RNA, protein, and N- glycans, our proposed Bone Marrow Tissue Mapping Center will dissect the cellular composition and spatial structure of bone marrow niches to understand which cells and interactions are critical to each branch of hematopoietic maturation. The multi-arm sample collection strategy, leveraging of clinically validated pre-analytical pipelines, assay technologies (Nanostring DSP, Multiplexed Ion Beam Imaging, and MALDI-MSI), computational tools (pixel-based analyses, cell-based analyses, neighborhood analyses), and biological principles are broadly applicable to and complement other HuBMAP projects. Interrogating the interdependence between bone marrow tissue structure and hematopoiesis is informative not just in blood cell maturation, but for understanding metabolism, aging, and development of cellular therapies.

Fast Facts
Project title:

Multimodal Histologic Atlas of Human Bone Marrow

Organ specialty: Bone marrow
PI: Sean Bendall
Co-Investigator: Michael Robert Angelo
Project Manager: Mina Pichavant
Assay Types: MALDI, MIBI
Grant number: 1U54HL165445-01
Learn more: Visit the lab website, and follow them on Twitter.



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