The human body at cellular resolution: the NIH Human Biomolecular Atlas Program

By Michael Snyder, Shin Lin, A. Posgai, Mark Atkinson, Aviv Regev, Jennifer E. Rood, O. Rozenblatt-Rosen, L. Gaffney, A. Hupalowska, Rahul Satija and 114 more. Nature, 2019

537 citations recorded by the source corpus.

Transformative technologies are enabling the construction of three-dimensional maps of tissues with unprecedented spatial and molecular resolution. Over the next seven years, the NIH Common Fund Human Biomolecular Atlas Program (HuBMAP) intends to develop a widely accessible framework for comprehensively mapping the human body at single-cell resolution by supporting technology development, data acquisition, and detailed spatial mapping. HuBMAP will integrate its efforts with other funding agencies, programs, consortia, and the biomedical research community at large towards the shared vision of a comprehensive, accessible three-dimensional molecular and cellular atlas of the human body, in health and under various disease conditions. HuBMAP supports technology development, data acquisition, and spatial analyses to generate comprehensive molecular and cellular three-dimensional tissue maps.

Subfields: Biomedical Engineering, Biophysics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/d8e96b8c02d4fea2a34b72023743f5c7f28b26cc

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Citations in the corpus

• An atlas of the protein-coding genes in the human, pig, and mouse brain (2020, methodology): “The Functional Annotation of Mammalian Genomes 5 (FANTOM5) project (19) provides transcriptomic profiles and functional annotation of mammalian cell types using cap analysis of gene expression (CAGE) (53), a method developed at RIKEN that is based on several full-length cDNA technologies.”
• The Human Tumor Atlas Network: Charting Tumor Transitions across Space and Time at Single-Cell Resolution (2020, unknown): “HTAN members are actively engaged with other complementary initiatives both at the NIH—including HuBMAP (HuBMAP Consortium, 2019), the Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative (Ecker et al., 2017), the NCI Information Technologies for Cancer Research (ITCR),…”