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Series GSE231967 Query DataSets for GSE231967
Status Public on May 09, 2023
Title PC3T: a signature-driven predictor of chemical compounds for cellular transition
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary Cellular transitions hold great promise in translational medicine research. However, therapeutic applications are limited by the low efficiency and safety concerns of using transcription factors. Small molecules provide a temporal and highly tuneable approach to overcome these issues. Here, we present PC3T, a computational framework to identify enrich molecules that induce desired cellular transitions, and PC3T was able to consistently identify enrich small molecules that had been experimentally validated in both bulk and single cell datasets. We then predicted and experimentally validated small molecules reprogramming of fibroblasts into hepatocyte-like cells and found that the fibroblasts exhibited epithelial cell morphology and hepatocyte-like specific gene expression pattern after treatment.
 
Overall design Examine RNA expression profile of MEFs, and MEFs treated by 3 molecules: Carbidopa, CHIR-99021 and LY-364747.
 
Contributor(s) Cui X, Han L, Zhou W, Zhang P
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Submission date May 08, 2023
Last update date May 09, 2023
Contact name Xiuliang Cui
E-mail(s) cuixl_bio@126.com
Phone 18321673089
Organization name Second Military Medicine University
Street address Changhai Road 225
City Shanghai
State/province Shanghai
ZIP/Postal code 200438
Country China
 
Platforms (1)
GPL24247 Illumina NovaSeq 6000 (Mus musculus)
Samples (8)
GSM7306538 MEF 1
GSM7306539 MEF 2
GSM7306540 Carbidopa 1
Relations
BioProject PRJNA970319

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
GSE231967_gene_counts_mat.txt.gz 629.5 Kb (ftp)(http) TXT
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Raw data are available in SRA
Processed data are available on Series record

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