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Series GSE164378 Query DataSets for GSE164378
Status Public on Jan 15, 2021
Title Integrated analysis of multimodal single-cell data
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Other
Summary The simultaneous measurement of multiple modalities, known as multimodal analysis, represents an exciting frontier for single-cell genomics and necessitates new computational methods that can define cellular states based on multiple data types. Here, we introduce ‘weighted-nearest neighbor’ analysis, an unsupervised framework to learn the relative utility of each data type in each cell, enabling an integrative analysis of multiple modalities. We apply our procedure to a CITE-seq dataset of hundreds of thousands of human white blood cells alongside a panel of 228 antibodies to construct a multimodal reference atlas of the circulating immune system. We demonstrate that integrative analysis substantially improves our ability to resolve cell states and validate the presence of previously unreported lymphoid subpopulations. Moreover, we demonstrate how to leverage this reference to rapidly map new datasets, and to interpret immune responses to vaccination and COVID-19. Our approach represents a broadly applicable strategy to analyze single-cell multimodal datasets, including paired measurements of RNA and chromatin state, and to look beyond the transcriptome towards a unified and multimodal definition of cellular identity.
 
Overall design Human PBMCs were profiled using CITE-seq and cell hashing

*** Raw data will be deposited in dbGaP due to patient privacy concerns ***

Web link https://www.biorxiv.org/content/10.1101/2020.10.12.335331v1
 
Contributor(s) Hao Y
Citation(s) 34062119
Submission date Jan 07, 2021
Last update date Jul 08, 2021
Contact name Yuhan Hao
E-mail(s) yhao@nygenome.org
Organization name New York Genome Center
Street address 101 6th Ave
City New York
ZIP/Postal code 10013
Country USA
 
Platforms (1)
GPL24676 Illumina NovaSeq 6000 (Homo sapiens)
Samples (9)
GSM5008737 PBMC CITE-seq RNA_3P
GSM5008738 PBMC CITE-seq ADT_3P
GSM5008739 PBMC CITE-seq HTO_3P
Relations
BioProject PRJNA690251

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
GSE164378_Antibody_HTO_info.xlsx 30.7 Kb (ftp)(http) XLSX
GSE164378_RAW.tar 1.4 Gb (http)(custom) TAR (of CSV, MTX, TSV)
GSE164378_sc.meta.data_3P.csv.gz 3.0 Mb (ftp)(http) CSV
GSE164378_sc.meta.data_5P.csv.gz 842.2 Kb (ftp)(http) CSV
Raw data are available in SRA
Processed data provided as supplementary file

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