Human Cell Atlas

The Human Cell Atlas is a global collaboration to map and characterize all cells in a healthy human body: cell types, numbers, locations, relationships, and molecular components. Once complete, it will be a fundamental resource for scientists, allowing them to better understand how healthy cells work, and what goes wrong when disease strikes. We are proud to support the following efforts to build new technologies, best practices, and data analysis techniques for the Human Cell Atlas.

Scroll down to learn more about these investigators and their projects.

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Developing next-generation tools for viral labeling to enable more robust single cell analyses


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Brain

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Optimizing acquisition, processing, and storage of samples using multiple methods of single cell transcriptomics as a readout.


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Brain

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Consortium effort to benchmark and evaluate diverse spatial transcriptomic methods using common human and mouse brain samples.


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Brain

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Testing methods for analysis of archival human samples while developing computational comparisons to animal models, allowing for future functional analyses.


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Brain

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Combining state-of-the-art single cell transcriptomics and chromatin accessibility in situ sequencing and topological data analysis, to document cell types.


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Spinal Cord

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Optimizing brain cell isolation by measuring the impact of time on important processing steps and exploring variation on the brain regions.


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Brain

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Developing methods and benchmark data to help the Human Cell Atlas isolate and perform single cell analysis on rare cell types. These will be important for future diagnosis and treatments of blood cancers.


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Immune

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Using multiple single cell analysis methods to systematically evaluate tissue dissociation and processing to clarify steps for the study of tissue-resident immune cells.


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Immune

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Automating and scaling a sensitive analysis method for understanding how important proteins or specialized protein variants bind to the genome.


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Immune

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Developing methods to measure epigenetic states in single cells through advanced imaging techniques.


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Immune

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Continuing development and benchmarking of advanced multi-omics approaches that combine traditional antibody-based identification of cells with unsupervised single cell analysis.


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Immune

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Analyzing tissues by using multiple single cell sequencing and imaging methods.


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Immune

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Evaluating methods of blood cell sampling to facilitate greater scale and understanding of inter-individual variability.


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Immune

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Evaluating methods of blood cell sampling to facilitate greater scale and understanding of inter-individual variability.


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Immune

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Optimizing tissue processing and providing benchmark data for multiple methods of analyzing diverse anatomical locations of the human airways.


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Tissue Handling & Processing

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Comparing single cell and nuclei transcriptomics methods on native and induced cardiac cell types.


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Tissue Handling & Processing

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Developing a robust and easy-to-use device for rapid dissociation of diverse primary tissues to single cell suspensions.


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Tissue Handling & Processing

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Characterizing heart tissue by optimizing tissue dissociation and multiple downstream methods of single cell analysis, including transcriptional and spatial.


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Tissue Handling & Processing

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Analyzing primary kidney cells to compare methods of single cell transcriptomics on both fresh and frozen tissue.


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Tissue Handling & Processing

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Multimodal analysis of breast tissue that bring together diverse assays, including single cell transcriptomics, spatial genomics, epigenetics, and histology. Analysis will provide comparative benchmarks for many assays within a single tissue.


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Tissue Handling & Processing

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Developing robust tissue handling protocols to allow single cell transcriptomics and spatial techniques from multiple tissues with different properties.


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Tissue Handling & Processing

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Identifying methods of tissue processing for diverse tissue types at lower temperature and benchmarking results using single cell transcriptomics.


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Tissue Handling & Processing

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Standardizing sample processing and single cell analysis within and across laboratories and platforms to better assess technical variability.


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Tissue Handling & Processing

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Pilot project to evaluate the effects of storing tissue samples prior to their processing. This will inform the strategies that are used to acquire tissue and design experiments.


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Tissue Handling & Processing

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Integrating multiple multiplexed spatial imaging techniques with single cell sequencing to develop methods of data integration.


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Gastrointestinal

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Standardizing workflow and analyzing tissues for sequencing-based single cell epigenetic data while establishing computational methods for integrated analyses.


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Gastrointestinal

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Establishing workflows, including cryopreservation, to integrate a large volume of imaging and single cell sequencing.


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Gastrointestinal

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Comparing and benchmarking proteomic and transcriptomic analysis of the same tissue samples to explore data integration and consistency of results.


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Gastrointestinal

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Developing greater multiplexing and reproducibility of single cell sequencing experiments.


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Gastrointestinal

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Developing scalable and multiplexed protein imaging of large volumes of human tissues.


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Gastrointestinal

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Optimizing tissue dissociation, storage, and handling for single cell sequencing and establishing community best practices.


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Skin

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Optimizing the collection, isolation, and visualization of cells from healthy human skin.


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Skin

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Optimizing the collection, isolation, and visualization of cells from healthy human skin.


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Technology Development

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Developing advanced imaging tools to amplify signals from diverse biomolecules such as protein and nucleic acids, and enabling concurrent analyses of single cells.


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Technology Development

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Developing an image analysis tool to help characterize cell type variations in subcellular localizations of proteins and RNA.


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Technology Development

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Accelerating tools and technologies for imaging approaches to perform spatial genomics on intact tissues.


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Technology Development

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Developing advanced and robust antibody labeling protocols to allow multiplexing of diverse modalities of single cell analyses.


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Technology Development

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Analyzing the bioinformatics landscape of single cell sequencing analysis to support community benchmarks that will inform future improvements.


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Technology Development

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Aiding protocol development and high community standards by helping individual labs identify areas of bias or inconsistency.


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Technology Development