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| Status |
Public on May 19, 2023 |
| Title |
PHDs-seq: A Large-scale Phenotypic Screening Method for Drug Discovery through Parallel Multi-readout Quantification [Targeted RNA-seq: KF-b2_0118] |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by high throughput sequencing
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| Summary |
High-throughput phenotypic screening is a cornerstone of drug development and the main technical approach for stem cell research. However, simultaneous detection of activated core factors responsible for cell fate determination and accurate assessment of directional cell transition are difficult using conventional screening methods that focus on changes in only a few biomarkers. The PHDs-seq (Probe Hybridization based Drug screening by sequencing) platform was developed to evaluate compound function based on their transcriptional effects in a wide range of signature biomarkers. In this proof-of-concept demonstration, several sets of markers related to cell fate determination were profiled in adipocyte reprogramming from dermal fibroblasts. After validating the accuracy, sensitivity and reproducibility of PHDs-seq data in molecular and cellular assays, a panel of 128 signalling-related compounds was screened for the ability to induce reprogramming of keloid fibroblasts (KF) into adipocytes. Notably, the potent ATP-competitive VEGFR/PDGFR inhibitor compound, ABT869, was found to promote the transition from fibroblasts to adipocytes. This study highlights the power and accuracy of the PHDs-seq platform for high-throughput drug screening in stem cell research, and supports its use in basic explorations of the molecular mechanisms underlying disease development.
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| Overall design |
Targeted Gene expression profiling analysis of PHDs-seq data for human skin cells (KF) treated with AD medium (DMEM/high glucose, 1% ITS, 0.5mM isobutylmethylxanthine, 1 μM dexamethasone) or KF medium.
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| Web link |
https://cellregeneration.springeropen.com/articles/10.1186/s13619-023-00164-9
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| Contributor(s) |
Li J, Chi J, Yang Y, Song Z, Yong Y, Zhou X, Liu Y, Zhao Y |
| Citation(s) |
37264282 |
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| Submission date |
Mar 15, 2023 |
| Last update date |
Aug 21, 2023 |
| Contact name |
Jun Li |
| E-mail(s) |
junny@pku.org.cn
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| Organization name |
Peking University
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| Street address |
北京市海淀区颐和园路5号北京大学王克桢楼207
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| City |
海淀区 |
| State/province |
北京市 |
| ZIP/Postal code |
100871 |
| Country |
China |
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| Platforms (1) |
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| Samples (8)
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| GSM7099743 |
KFs, AD medium 4 days then AM 4 days, rep1 |
| GSM7099744 |
KFs, AD medium 4 days then AM 4 days, rep2 |
| GSM7099745 |
KFs, AD medium 4 days then AM 4 days, rep3 |
| GSM7099746 |
KFs, AD medium 4 days then AM 4 days, rep4 |
| GSM7099747 |
KFs, KF medium, 8 days, rep1 |
| GSM7099748 |
KFs, KF medium, 8 days, rep2 |
| GSM7099749 |
KFs, KF medium, 8 days, rep3 |
| GSM7099750 |
KFs, KF medium, 8 days, rep4 |
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| This SubSeries is part of SuperSeries: |
| GSE227392 |
PHDs-seq: A Large-scale Phenotypic Screening Method for Drug Discovery through Parallel Multi-readout Quantification |
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| Relations |
| BioProject |
PRJNA944947 |
| Supplementary file |
Size |
Download |
File type/resource |
| GSE227388_KF-b2_0118-CPM.xlsx |
19.1 Kb |
(ftp)(http) |
XLSX |
SRA Run Selector |
| Raw data are available in SRA |
| Processed data are available on Series record |
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