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Review
. 2021 Nov;23(11):1117-1128.
doi: 10.1038/s41556-021-00788-6. Epub 2021 Nov 8.

Anatomical structures, cell types and biomarkers of the Human Reference Atlas

Affiliations
Review

Anatomical structures, cell types and biomarkers of the Human Reference Atlas

Katy Börner et al. Nat Cell Biol. 2021 Nov.

Abstract

The Human Reference Atlas (HRA) aims to map all of the cells of the human body to advance biomedical research and clinical practice. This Perspective presents collaborative work by members of 16 international consortia on two essential and interlinked parts of the HRA: (1) three-dimensional representations of anatomy that are linked to (2) tables that name and interlink major anatomical structures, cell types, plus biomarkers (ASCT+B). We discuss four examples that demonstrate the practical utility of the HRA.

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Figures

Fig. 1.
Fig. 1.
a, Alphabetical listing of 16 human reference atlas construction efforts (left) linked to 30 human organs they study (right). See legend for color and size coding. The lung is studied by 10 consortia; see orange links. This review focuses on 10 organs (bolded) plus vasculature. b, 3D reference objects for major anatomical structures were jointly developed for 11 organs. c, Exemplary ASCT+B table showing all AS and CT and some B for the glomerulus in kidney; annotated with names of the three entity types (AS, CT, B) and four relationship types (in italics).
Fig. 2.
Fig. 2.
a, Registration and semantic annotation of tissue data (blue block) in 3D via collision detection in the Registration User Interface (RUI): A user sizes, positions, and rotates tissue blocks and saves results in JSON format. b, Semantically and spatially explicit search, browsing, and filtering of tissue data (white blocks in spleen and kidney) in the Exploration User Interface (EUI): RUI-registered tissue data can be explored semantically using the AS partonomy on left and spatially using the anatomy browser in middle; a filter in top left supports subsetting by sex, age, tissue provider, etc. Clicking on a tissue sample on the right links to the Vitessce image viewer.
Fig. 3.
Fig. 3.
a, HSCs migrate from liver to the thymus during embryonic and fetal development. The transcriptomic identity of these HSCs changes between the first and second trimester pregnancy, as shown by the maroon versus blue shading of the HSCs in the left (embryo) and right (fetal) part of the figure. The scRNAseq data in the UMAP plots are from; the top plot shows liver cells (blue) and thymus cells (orange) overlapping, labelled “lymphoid progenitor” in bottom plot. b, The nature of HSC subsets in adult blood shifts in health versus COVID-19. HSCs in the blood of COVID-19 patients (top-left) shows a megakaryocyte priming bias when compared to healthy (top-right). This is quantified in the histogram from of relative HSPC contributions for different donor/patient cohorts.
Fig. 4.
Fig. 4.
Kidney ASCT+B table linked to processes, disease, clinicopathologic information, and ontology data.

References

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