DRUG-seq technology
Extraction-free and high-throughput RNA-seq technology designed to provide unbiased and high-content full transcriptome profiling across thousands of samples in parallel at low cost and short turnaround times.
Extraction-free and high-throughput RNA-seq technology designed to provide unbiased and high-content full transcriptome profiling across thousands of samples in parallel at low cost and short turnaround times.
MERCURIUS™ DRUG-seq is a powerful solution for compound screening and drug discovery, enabling ultra-high-content, unbiased, and high-throughput profiling with extraction-free transcriptomics. The method leverages rigorously optimized sample barcodes and unique molecular identifiers (UMIs) to label the 3' poly(A) tails of mRNA molecules during the first-strand cDNA synthesis. This efficient tagging approach ensures precise sample identification, robust transcript quantification, and seamless scalability for large screening campaigns.
Skip tedious RNA extraction steps and go straight to library prep.
Up-to 384 samples processed in one single tube!
Our highly optimized sets of barcoded primers uniquely "tag" individual RNA samples during the first step of library preparation so that you can pool and process all samples together in a single tube early in the workflow.
Improved protocol for higher mapping and gene detection rates
MERCURIUS™ DRUG-seq leverages a high-yield enzyme for reverse transcription. This streamlines the workflow and eliminates potential biases and duplication introduced with pre-amplification and template-switching oligos (TSO) used in the original DRUG-seq protocol while delivering superior performance.
Massively multiplexed workflow with 96 and 384-well plate formats so that you can screen thousands of samples in parallel at scale.
No need for prior target selection.
No pre-amplification needed, leading to higher mapping and gene detection rates.
The more samples processed simultaneously, the lower the cost per sample.
Enables seamless integration into high-throughput workflows, furter reducing hands-on time and increasing scalability, reproducibility and efficiency.
MERCURIUS™ DRUG-seq accelerates the journey from target discovery to validation due to its scalability, sensitivity, and depth.
It allows you to select targets with desirable transcriptomic signatures and confirm that modulating a specific target leads to the expected changes in gene expression.
MERCURIUS™ DRUG-seq provides detailed gene expression profiles in response to different compounds. These profiles help researchers understand a drug’s mechanism of action and can identify potential on- / off-target effects.
MERCURIUS™ DRUG-seq provides cost-effective deep transcriptomic insights that help identify the most promising compounds in screening pipelines with greater confidence.
Hit-to-lead optimization is streamlined by rapid and scalable assessment of gene expression changes across thousands of compounds or conditions simultaneously.
MERCURIUS™ DRUG-seq's ability to detect novel transcripts and mechanisms of action enhances the understanding of drug interactions at a molecular level. This makes it an invaluable tool for optimizing leads and advancing the development of effective and safe therapeutics.
MERCURIUS™ DRUG-seq rapidly allows researchers to detect on- and off-target effects, uncover toxicity markers, and track transcriptional changes across thousands of compounds or conditions. This knowledge speeds up the drug development process, enhances decision-making, and increases the likelihood of therapeutic success in drug development.
All our kits contain all the oligos and enzymes needed to go from 2D cell cultures to sequencing-ready libraries.
MERCURIUS™
Choose from library prep only or complete end-to-end services, including cell culture and treatment, Cell Painting, NGS, and downstream analysis.
The DRUG-seq platform enabled us to systematically profile compound-induced transcriptional responses at scale, generating a rich dataset that helped prioritize testable hypotheses. The team at Alithea provided outstanding technical guidance throughout, including support in developing a customized analysis pipeline tailored to our needs. The turnaround time was fast, the process seamless, and the collaboration highly productive. We would be glad to work together again.
Mikołaj Słabicki, Ph.D. Principal Investigator at the MGH Krantz Family Center for Cancer Research. Assistant Professor of Medicine at Harvard Medical School. Affiliate Faculty Member at the Broad Institute of MIT and Harvard
DRUG-seq has completely transformed how I approach and think about transcriptomic screening. It's fast, scalable, and incredibly cost-effective—perfect for profiling hundreds of compounds in parallel. In my experience, it’s one of the most powerful tools for uncovering mechanisms of action and capturing transcriptional signatures at scale. I've used DRUG-seq to profile different cells treated under time points, dose responses, combination treatments, and a variety of complex cellular models, from cardiomyocytes to organoids—and it consistently delivers high-quality, actionable data. The ability to pool samples early without compromising data quality truly makes it a game-changer.
Andrea Hadjikyriacou, Ph.D. Principal Scientist I, Novartis Biomedical Research
Alithea Genomics Blog
9-05-2025
Alithea Genomics Blog
2-05-2025
3’ mRNA-seq technologies are gradually revolutionizing high-throughput bulk transcriptomics.
Alithea Genomics Blog
24-04-2025
High-throughput screening and high-content screening are foundational to the early stages of drug di...
16 Apr 2025
Rodrigues Sousa, E., de Brot, S., Zoni, E. et al. CRIPTO’s multifaceted role in driving aggressive prostate cancer unveiled by in vivo, organoid, and patient data. Oncogene 44, 462–475 (2025).
Oncology
01 Apr 2025
Austeja Butkute, Marius Baltramonaitis, Simona Malmige, Adas Darinskas, Vita Pasukoniene, Agata Mlynska. Targeting stemness pathways modulates macrophage polarization and reprograms the tumor microenvironment. Front Immunol. 2025 Mar 14.
Immunology
21 Jan 2025
Anstett, V.; Heinzelmann, E.; Piraino, F.; Roch, A.; Chrisnandy, A.; Norkin, M.; Garnier, V.; Homicsko, K.; Hoehnel-Ka, S.; Brandenberg, N. In Vitro Evaluation of the Safety and Efficacy of Cibisatamab Using Adult Stem Cell-Derived Organoids and Colorectal Cancer Spheroids. Cancers 2025.
Oncology
MERCURIUS™ DRUG-seq is a transformative tool for compound screening and drug discovery, combining unbiased, ultra-high-content, and high-throughput compound screening with massively parallel and extraction-free transcriptomics. This metho d uses highly optimized and rigorously evaluated sample barcodes and unique molecular identifiers to tag the 3’ poly(A) tail of all mRNA molecules in a sample-specific manner during the first-strand synthesis step of cDNA library preparation.
The DRUG-seq protocol is designed to work with frozen cells and bypass RNA extraction. Thanks to the highly optimized lysis buffers for cell lysis of 2D cell cultures and organoid models, it efficiently generates library preps without prior RNA isolation.
MERCURIUS™ DRUG-seq stands out from traditional RNA-seq methods by offering a high-throughput, cost-efficient, and streamlined workflow specifically designed for large-scale screening applications. One of the key differences lies in its sample multiplexing strategy: DRUG-seq allows multiple RNA samples to be barcoded and pooled at the earliest step of the protocol—right after cell lysis—so that the entire library preparation can proceed in a single tube. This significantly reduces both hands-on time and reagent costs.
In contrast, standard RNA-seq workflows typically require individual RNA extraction and processing for each sample, followed by separate library preparations. This makes them more labor-intensive, costly, and less scalable, especially when working with large numbers of conditions, compounds, or replicates—common in drug discovery pipelines.
MERCURIUS™ DRUG-seq is used for:
Drug discovery: Identifying new drug candidates and understanding how existing drugs work at a molecular level.
Mechanism of action studies: Understanding how drugs affect cellular pathways and gene regulation.
Drug repurposing: Identifying new uses for existing drugs based on gene expression changes.
Personalized medicine: Tailoring treatments based on individual genetic responses to drugs.
MERCURIUS™ DRUG-seq can be performed on various sample types, including: Cell lines, Primary cells, Organoids or Spheroids.
Check the entire list of validated cells here.
We require the cells/organoids to be washed in PBS to avoid interference with our proprietary lysis and reverse transcription.
The recommended range of input material is in the range of 5’000-50’000 cells.