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bioinformaticscell biologylife sciencessingle-cell transcriptomicstranscriptomics
CZ CELLxGENE Discover (cellxgene.cziscience.com) is a free-to-use platform for the exploration, analysis, and retrieval of single-cell data. CZ CELLxGENE Discover hosts the largest aggregation of standardized single-cell data from the major human and mouse tissues, with modalities that include gene expression, chromatin accessibility, DNA methylation, and spatial transcriptomics. This year, CZ CELLxGENE Discover has made available all of its human and mouse RNA single-cell data through Census (https://chanzuckerberg.github.io/cellxgene-census/) – a free-to-use service with an API and data that...
bioinformaticsbiologygeneticgenomicinfrastructurelife sciencessingle-cell transcriptomicstranscriptomicswhole genome sequencing
Pre-built refgenie reference genome data assets used for aligning and analyzing DNA sequence data.
biologycell biologycell imagingepigenomicsgene expressionhistopathologyHomo sapiensimaginglife sciencesmedicinemicroscopyneurobiologyneurosciencesingle-cell transcriptomicstranscriptomics
The Seattle Alzheimer's Disease Brain Cell Atlas (SEA-AD) consortium strives to gain a deep molecular and cellular understanding of the early pathogenesis of Alzheimer's disease and is funded by the National Institutes on Aging (NIA U19AG060909). The SEA-AD datasets available here comprise single cell profiling (transcriptomics and epigenomics) and quantitative neuropathology. To explore gene expression and chromatin accessibility information, the single-cell profiling data includes: snRNAseq and snATAC-seq data from the SEA-AD donor cohort (aged brains which span the spectrum of Alzhe...
proteinsingle-cell transcriptomics
Comprehensive, large-scale single-cell profiling of healthy human blood at different ages is one of the critical pending tasks required to establish a framework for systematic understanding of human aging. Here, using single-cell RNA/TCR/BCR-seq with protein feature barcoding (20 antibodies), we profiled 317 samples from 166 healthy individuals aged 25 to 85 years old drawn over 3-year period. Dataset spanning ~2 million cells describes 50 subpopulations of blood immune cells, with 14 subpopulations changing with age, including a novel NKG2C+ CD8 Tcm population that decreases with age. We desc...
biologyencyclopedicgenomichealthlife sciencesmedicinesingle-cell transcriptomics
Tabula Muris Senis is a comprehensive compendium of single cell transcriptomic data from the model organism Mus musculus comprising more than 500,000 cells from 18 organs and tissues across the mouse lifespan. We discovered cell-specific changes occurring across multiple cell types and organs, as well as age related changes in the cellular composition of different organs. Using single-cell transcriptomic data we were able to assess cell type specific manifestations of different hallmarks of aging, such as senescence, changes in the activity of metabolic pathways, depletion of stem-cell populat...
biologyencyclopedicgeneticgenomichealthlife sciencesmedicinesingle-cell transcriptomics
Tabula Sapiens will be a benchmark, first-draft human cell atlas of two million cells from 25 organs of eight normal human subjects. Taking the organs from the same individual controls for genetic background, age, environment, and epigenetic effects, and allows detailed analysis and comparison of cell types that are shared between tissues. Our work creates a detailed portrait of cell types as well as their distribution and variation in gene expression across tissues and within the endothelial, epithelial, stromal and immune compartments. A critical factor in the Tabula projects is our large collaborative network of PI’s with deep expertise at preparation of diverse organs, enabling all organs from a subject to be successfully processed within a single day. Tabula Sapiens leverages our network of human tissue experts and a close collaboration with a Donor Network West, a not-for-profit organ procurement organization. We use their experience to balance and assign cell types from each tissue compartment and optimally mix high-quality plate-seq data and high-volume droplet-based data to provide a broad and deep benchmark atlas. Our goal is to make sequence data rapidly and broadly available to the scientific community as a community resource. Before you use our data, please take note of our Data Release Policy below.Data Release PolicyOur goal is to make sequence data rapidly and broadly available to the scientific community as a community resource. It is our intention to publish the work of this project in a timely fashion, and we welcome collaborative interaction on the project and analyses. However, considerable investment was made in generating these data and we ask that you respect rights of first publication and acknowledgment as outlined in the Toronto agreement. By accessing these data, you agree not to publish any articles containing analyses of genes, cell types or transcriptomic data on a who...