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Series GSE133539 Query DataSets for GSE133539
Status Public on Dec 10, 2019
Title Benchmarking Single-Cell RNA Sequencing Protocols for Cell Atlas Projects (CEL-Seq2)
Organisms Homo sapiens; Canis lupus familiaris; Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary 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 systematically evaluate techniques in terms of their power to comprehensively describe cell types and states. We performed a multi-center study comparing 13 commonly used single-cell and single-nucleus RNA-seq protocols using a highly heterogeneous reference sample resource. Comparative and integrative analysis at cell type and state level revealed marked differences in protocol performance, highlighting a series of key features for cell atlas projects. These should be considered when defining guidelines and standards for international consortia, such as the Human Cell Atlas project.
 
Overall design The samples consists of two complex tissues (human PBMC and mouse colon) and three cell lines (HEK293-RFP, NIH3T3-GFP, MDCK-Turbo650). The primary PBMC and the colon sample constitute 90% and the cell lines 10%. The sample preparation aims to be standardized for all methods to allow a comparison of library preparation performance (6% HEK293T-RFP, 3% NIH3T3-GFP, 1% MDCK-Turbo650) of the sample content.
 
Contributor(s) Heyn H, Lafzi A, Mereu E
Citation(s) 32051003, 32518403
Submission date Jun 29, 2019
Last update date Jul 29, 2020
Contact name Atefeh Lafzi
E-mail(s) lafzi.a@gmail.com
Organization name Center for Genomic Regulation
Department CNAG
Lab Single cell genomics
Street address Baldiri Reixac 4
City Barcelona
ZIP/Postal code 08028
Country Spain
 
Platforms (1)
GPL26864 Illumina HiSeq 3000 (Canis lupus familiaris; Homo sapiens; Mus musculus)
Samples (15)
GSM3911744 CELseq2_HCAP1_2
GSM3911745 CELseq2_HCAP1_3
GSM3911746 CELseq2_HCAP1_4
This SubSeries is part of SuperSeries:
GSE133549 Benchmarking Single-Cell RNA Sequencing Protocols for Cell Atlas Projects
Relations
BioProject PRJNA551749
SRA SRP212641

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE133539_CELseq2_human_exp_mat.tsv.gz 9.7 Mb (ftp)(http) TSV
GSE133539_CELseq2_human_metada.tsv.gz 229.2 Kb (ftp)(http) TSV
GSE133539_CELseq2_mouse_exp_mat.tsv.gz 4.8 Mb (ftp)(http) TSV
GSE133539_CELseq2_mouse_metada.tsv.gz 198.0 Kb (ftp)(http) TSV
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Raw data are available in SRA
Processed data are available on Series record

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