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Series GSE175413 Query DataSets for GSE175413
Status Public on Nov 09, 2021
Title High-throughput Microwell-seq 2.0 reveals massively multiplexed chemical perturbation
Organisms Homo sapiens; Mus musculus
Experiment type Expression profiling by high throughput sequencing
Genome binding/occupancy profiling by high throughput sequencing
Summary Combining in-cell RT and Microwell-seq 1.0, we established Microwell-seq 2.0 for cost-effective HTS with scRNA-seq-based phenotyping. To assess the fidelity of the Microwell-seq 2.0, we performed a species-mixing experiment with cultured human (293T) and mouse (3T3) cells. Moreover, we assessed the platform on tissue cells with more heterogeneous cell types. By harnessing the power of Microwell-seq 2.0, we analyzed massively multiplexed chemical perturbation of human embryonic stem cells (hESCs) at the single-cell resolution.
 
Overall design To assess the fidelity of the Microwell-seq 2.0, we performed a species-mixing experiment with cultured human (293T) and mouse (3T3) cells. Moreover, we assessed the platform on tissue cells with more heterogeneous cell types. By harnessing the power of Microwell-seq 2.0, we analyzed massively multiplexed chemical perturbation of human embryonic stem cells (hESCs) at the single-cell resolution.
 
Contributor(s) Guo G, Chen H, Liao Y, Sun Z
Citation(s) 34750394
Submission date May 24, 2021
Last update date Feb 08, 2022
Contact name Guoji Guo
Organization name Center for Stem Cell and Regenerative Medicine
Department Zhejiang University School of Medicine
Street address Yuhangtang street 866
City Hanzhou
ZIP/Postal code 310058
Country China
 
Platforms (4)
GPL21273 HiSeq X Ten (Mus musculus)
GPL26363 HiSeq X Ten (Homo sapiens; Mus musculus)
GPL29480 DNBSEQ-T7 (Homo sapiens)
Samples (22)
GSM5333087 Mix3T3-293T
GSM5333088 Mouse testis
GSM5395016 Lysis_1
Relations
BioProject PRJNA732361
SRA SRP321102

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
GSE175413_RAW.tar 613.8 Mb (http)(custom) TAR (of BW, NARROWPEAK, TXT)
GSE175413_chemical_annotation.xlsx 4.1 Mb (ftp)(http) XLSX
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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