GSE133548

syn77085476

Created By Aditya Nath aditya.nath

doi: 10.1038/s41587-020-0469-4
title: Benchmarking Single-Cell RNA Sequencing Protocols for Cell Atlas Projects (inDrop)
funder: NIH-NCI
series:
authors: Heyn Holger Lafzi Atefeh Mereu Elisabetta
creator: Heyn Holger Lafzi Atefeh Mereu Elisabetta
license: CC-BY 4.0
species: Homo sapiens
studyId: syn9773338
subject:
ageGroup:
citation: Mereu E et al. (2020). Benchmarking single-cell RNA-sequencing protocols for cell atlas projects. Nat Biotechnol. 38(6):747-755. doi: 10.1038/s41587-020-0469-4
dataType: gene expression
keywords: human PBMC (60%) and mouse colon (30%), HEK293T (6%), NIH3T3 (3%), MDCK (1%)
accessType: Open Access
contributor:
description: Single-cell RNA sequencing (scRNA-seq) is the leading technique for charting the molecular properties of individual cells. The latest methods are scalable to thousands of cells, enabling in- depth characterization of sample composition without prior knowledge. However, there are important differences between scRNA-seq techniques, and it remains unclear which are the most suitable protocols for drawing cell atlases of tissues, organs and organisms. We have generated benchmark datasets to syste...
grantNumber: CA217377
diseaseFocus:
downloadType: Synapse Hosted
alternateName: GSE133548
manifestation:
specimenCount: 1
yearProcessed: 2019
countryOfOrigin:
individualCount: 1
visualizeDataOn:
dataUseModifiers:
conditionsOfAccess: No restriction
measurementTechnique: RNA-seq single-cell RNA-seq
externalRepositoryUri: geo:GSE133548
includedInDataCatalog:

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