
Unbiased whole transcriptome screening
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.
Extraction-free
Skip tedious RNA extraction steps and go straight to library prep.
Massive sample multiplexing
Up-to 384 samples are 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.
Pre-amplification-free protocol
Improved protocol, leading to 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.
Benefits
- Ideal for screening projects
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 RNA extraction
- An optimized lysis buffer ensures complete lysis and efficient reverse transcription to avoid time-consuming and expensive RNA extractions.
- Unbiased whole transcriptome screening
No need for prior target selection.
- Pre-amplification free protocol
No pre-amplification needed, leading to higher mapping and gene detection rates.
- One-day lab workflow
- Convenient and quick protocol, from samples to sequencing-ready libraries in one day.
- Ultra scalable and ultra low-cost
The more samples processed simultaneously, the lower the cost per sample.
- Suited to automation
- Enables seamless integration into high-throughput workflows, furter reducing hands-on time and increasing scalability, reproducibility and efficiency.
A transformative tool for next-gen drug discovery

Decoding drug responses

Gene detection overview
Enables accurate clustering and co-clustering analysis based on unbiased gene expression measurement


Detect potential synergistic/antagonistic effects of drug combinations
Enables detailed pathway analysis of biological processes

More applications
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MERCURIUS™ DRUG-seq streamlines ultra-high-content and high-throughput transcriptomic profiling, enabling the rapid and cost-effective identification of disease pathways and key regulatory genes, which can be later used as diagnostic or prognostic biomarkers.Discover biomarkers faster and with greater confidence to transform data into actionable insights!
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Drug resistance
MERCURIUS™ DRUG-seq can also be used to identify drug resistance mechanisms at the transcriptomic level.This enables researchers to pinpoint molecular adaptations, predict responses, and develop more effective therapeutic strategies. -
Toxicology and safety assessment
MERCURIUS™ DRUG-seq is a powerful tool for transcriptome-wide toxicology studies, enabling high-throughput phenotypic screening, cell response screening, and compound activity profiling.The technology captures comprehensive gene expression changes across thousands of conditions to help identify early toxicity signals, stress responses, and off-target effects. Whether used alone or in combination with CRISPR screens, MERCURIUS™ DRUG-seq provides the resolution and scalability needed to assess compound safety at every stage of drug discovery and to accelerate the development of safer, more effective therapeutics. -
AI-driven drug discovery
Artificial intelligence algorithms require vast quantities of robust, in-depth training data for pattern recognition and predictive modeling before researchers can extract meaningful insights with confidence. The unparalleled scalability and cost-effectiveness of MERCURIUS™ DRUG-seq now enables researchers to generate high-throughput transcriptome-wide data for thousands of samples or conditions. These data help to train advanced machine learning models and deep learning algorithms, streamlining screening pipelines and enabling smarter, faster compound discovery.
This integration facilitates scalable phenotypic screening and compound similarity mapping, accelerating mechanism of action identification, target deconvolution, and gene network analysis. Leveraging AI-powered pattern recognition and predictive modeling, researchers can extract meaningful gene signatures and uncover novel biomarkers with greater confidence.
Diverse readout options

3' mRNA sequencing

Targeted mRNA sequencing

Full-length mRNA sequencing
This protocol enables comprehensive analysis of transcript isoforms, alternative splicing events, and gene expression levels.
Available as kits and services
Kits for library prep
All our kits contain all the oligos and enzymes needed to go from 2D cell cultures / 3D organoids and spheroids to sequencing-ready libraries.
MERCURIUS™
DRUG-seq kit
- 3' mRNA sequencing
- Early multiplexing of up to 384 samples
- Directly from cell lysates without prior RNA isolation
- 12'000 genes detected at 1M reads/sample
- Ideal for comprehensive genome-wide gene expression profiling


MERCURIUS™
Total DRUG-seq (Early-Access)
- Full-length total RNA sequencing
- 96 and 384 samples multiplexing format
- Directly from cell/organoid lysates without prior RNA isolation
- 20'000 + genes detected at 10M reads/sample
- Full-length RNA transcript coverage: for regulatory RNAs, non-coding RNAs, and early-stage transcripts.
MERCURIUS™
Full-Length
DRUG-seq kit (Early-Access)
- Full-length mRNA sequencing
- 96 samples multiplexing format
- Directly from cell/organoid lysates without prior RNA isolation
- 22'000 genes detected at 12M reads/sample
- Full-length mRNA transcript coverage: from differential gene expression to splicing variants and isoform detection

Flexible Services
From library prep only or end-to-end service, including cell culture and treatment, Cell Painting, NGS and downstream analysis.
What do our customers say
" We would be glad to work together again"
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
"It's fast, scalable, and incredibly cost-effective"
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
Recent blogs

Alithea Genomics Blog
10-09-2025
Omics in Short-Term Toxicology Studies: Are We Ready to Replace Traditional Approaches?
Toxicology is at a turning point. For decades, decision-making relied on long-term animal studies, w...

Alithea Genomics Blog
27-08-2025
MERCURIUS™ FLASH-seq vs 10x Genomics Chromium: Which Single-Cell RNA-seq Approach is Right for You?
Single-cell RNA sequencing (scRNA-seq) has revolutionized our ability to examine the cellular hetero...
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Alithea Genomics Blog
28-07-2025
What is the difference between Smart-seq2, Smart-seq3, and FLASH-seq for full-length single-cell RNA-seq?
The Smart-seq2 protocol was the gold standard for full-length plate-based single-cell RNA-seq, offer...
Recent publications
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01 Sep 2025
Tarek Elmzzahi, Chun-Hsi Su, Mehrnoush Hadaddzadeh Shakiba, Doaa Hamada, DaryaMalko, Maren Koehne, Aleksej Frolov, Teisha Mason, Yuanfang Li, Rebekka Scholz, Collins Osei-Sarpong, Leonie Heyden, Jonas Schulte-Schrepping, Lorenzo Bonaguro, Kristian Haendler, Vassiliki Boussiotis, Annett Halle, Elena De Domenico, Daniel HDGray, Martin Fuhrmann, Zeinab Abdullah, Axel Kallies, Kevin Man, Marc D. Beyer. Molecular determinants of brain-resident CD8+ T cell formation and function. bioRxiv 2025.08.26.672425
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Immunology
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28 Aug 2025
Akisawa Satomi, Riho Saito, Tadahaya Mizuno, Hiroki Sugishita, Hideki Ukai, Shigeyuki Shichino, Masashi Yanagisawa, Kouji Matsushima, Yukiko Gotoh, Tomohiko Okazaki. Local niche-derived immunosuppressive CXCR2+ cells impair antiviral immunity. bioRxiv 2025.08.24.671975
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Infectious Diseases
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27 Jun 2025
Hahaut, V., Pavlinic, D., Carbone, W et al., Fast and highly sensitive full-length single-cell RNA sequencing using FLASH-seq. Nat Biotechnol 40, 1447–1451 (2022).
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Biotechnology
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FAQ
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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. -
Unlike the original DRUG-seq protocol, which relies on the use of template-switching oligos (TSO) and pre-amplification for the second-strand cDNA synthesis, the MERCURIUS™ DRUG-seq streamlines the workflow by performing the reverse transcription with a high-yield enzyme, thus eliminating the potential biases and duplication introduced with pre-amplification.
This optimized workflow not only simplifies the protocol but also delivers superior performance: higher mapping and gene detection rates.
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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.
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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.
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MERCURIUS™ DRUG-seq can be performed on various sample types, including: Cell lines, Primary cells, Organoids or Spheroids.
Validated cells lines
Cell line/Tissue Organism HT1080 SMARCA4 KO Human hTEC Human iPSC microglia Human MCF7 Human HepG2_IGF1RKO Human Beas-2B Human dTHP-1 Human iPSC derived cardiomyocytes Human Endothelial Human Hepatocyte Human HEPG2 Human Hepatocyte Human SF9 Spodoptera A549 Human Breast Cancer (MCF7) Human B lymphoblast MM.1s. Human Hek293 Human HeLa Cells Human U2-OS Human Hek293 Human dTHP-1 Human AsPC-1 Human PBMC (TCD4) Human Skeletal muscle (LHCN-M2) Human HepaRG Human Macrophage (MV-4-11) Human PBMCs (Blood) Human Microglia Human Fibroblast Like Synoviocyte donor 1502 Human Fibroblast Human iPSC-derived neuron Human Human lung carcinoma epithelial cell line Human Human breast epithelial adenocarcinoma cell line Human Human liver hepatocellular carcinoma cell line Human Human cardiomyocytes derived from induced pluripotent stem cells (iPSCs) Human -
We require the cells/organoids to be washed in PBS to avoid interference with our proprietary lysis and reverse transcription.
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The recommended range of input material is in the range of 5’000-50’000 cells.

