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  - biology
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- Source:
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- Sanjay R. Srivatsan *et al.*, "Massively multiplex chemical transcriptomics at single-cell resolution", *Science*, **367**, 45–51 (2020). [DOI:10.1126/science.aax6234](https://doi.org/10.1126/science.aax6234)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ## Dataset Description
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+ **A549 Chemical Perturbation Dataset (SciPlex2)**
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+ This dataset captures transcriptional responses of **A549**, a human lung adenocarcinoma cell line, to drug perturbations. Cells were treated with one of four small molecules:
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+ - **Dexamethasone**, corticosteroid receptor agonist
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+ - **Nutlin-3a**, p53-MDM2 interaction antagonist
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+ - **BMS-345541**, inhibitor of NF-κB–dependent transcription
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+ - **Vorinostat (SAHA)**, histone deacetylase (HDAC) inhibitor
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+ Each compound was applied for **24 hours** across **seven doses**, in **triplicate**, resulting in **84 compound–dose–replicate conditions**, along with additional vehicle controls. Single-cell transcriptional profiles were generated using **sci-RNA-seq**.
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+ ## Citation
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+ > Srivatsan, S. R., McFaline-Figueroa, J. L., Ramani, V. *et al.*
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+ > **Massively multiplex chemical transcriptomics at single-cell resolution**
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+ > *Science*, **367**, 45–51 (2020).
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+ > [https://doi.org/10.1126/science.aax6234](https://doi.org/10.1126/science.aax6234)