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Author Spotlight: Cost-Effective Transcriptomic Drug Screening - Unlocking New Targets
Published on: February 23, 2024
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High-Throughput Cellular RNA Sequencing (HiCAR-Seq): Cost-Effective, High-Throughput 3' mRNA-Seq Method Enabling
Yaligara Veeranagouda1, Jean-Luc Zachayus2, Jean-Claude Guillemot2
1Molecular Biology and Genomics, Translational Sciences, Sanofi R&D, Chilly-Mazarin, France.
Current Protocols in Molecular Biology
|August 1, 2020
Summary
High-throughput CellulAr RNA Sequencing (HiCAR-Seq) enables sample-wise quality control for transcriptome profiling in drug development. This method enhances the understanding of drug effects with fewer sequencing reads.
Area of Science:
- Genomics
- Molecular Biology
- Drug Discovery
Background:
- High-throughput screening is crucial for drug development.
- Transcriptome profiling aids in understanding drug mechanisms, off-target effects, and cytotoxicity.
- Existing high-throughput RNA-Seq (HT RNA-Seq) methods lack sample-wise library quality control.
Purpose of the Study:
- To introduce High-throughput CellulAr RNA Sequencing (HiCAR-Seq), a novel method for transcriptome profiling.
- To enable sample-wise quality control in high-throughput RNA sequencing.
- To provide a robust and efficient method for drug screening and mechanism of action studies.
Main Methods:
- HiCAR-Seq works directly on cultured cells (≥1,000 cells) or 10 ng total RNA.
- It involves oligo-dT reverse transcription, PCR amplification with sample-specific barcodes, and Bioanalyzer verification.
- Libraries are prepared for Illumina sequencing using a tagmentation kit, targeting the 3' end of mRNAs.
Main Results:
- HiCAR-Seq allows for precise cDNA amplification verification and accurate sample pooling.
- As few as 3-4 million reads/sample are sufficient for gene expression analysis in human or mouse cells.
- The method is optimized for direct use on cultured cells or total RNA.
Conclusions:
- HiCAR-Seq offers a robust and competitive alternative to existing HT RNA-Seq methods.
- The ability to perform sample-wise quality control improves data reliability.
- HiCAR-Seq facilitates deeper insights into drug effects through efficient transcriptome profiling.
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