Benefits
Bulk RNA sequencing at scale
Massively multiplexed RNA-seq offers unparalleled cost and throughput scalability.
Ideal for projects of all sizes
You can trust us. We have ran projects from as low as 6 samples to as many as 100'000.
Fast turnaround times
From samples to data in as fast as 1.5 months.
No prior RNA extraction needed
An optimized lysis buffer for complete lysis.
What we do
MERCURIUS ™
DRUG-seq service
The MERCURIUS™ DRUG-seq service offers the most comprehensive, high-throughput and cost-efficient solution for gene expression analysis projects starting from 2D cell cultures and organoids.
As part of the DRUG-seq service, we send our clients a proprietary Cell Lysis Buffer which is optimized for both cell lysis and downstream enzymatic reactions, without having to perform RNA extraction in between.
After mixing the Lysis Buffer with their cells, the client can send back to us their cell lysates, which are then ready to be processed in the DRUG-seq workflow.
By leveraging on the advantages the DRUG-seq system, such as cost-efficiency and high-throughput, we are able to offer the most competitive price and turnaround time on the market.
As a result of our service, our clients receive raw sequencing data (fastq files), gene count matrices and analysis reports files.
Optional downstream differential gene expression analysis are also available upon request.
How does it work
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Client transfers the lysates to the provided well plate
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2 days
MERCURIUS™ DRUG-seq for Illumina®
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1 week
Library QC - Client Checkpoint
(Qubit, Fragment analyzer, shallow sequencing) -
1.5 weeks
Deep sequencing - Illumina
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1 week
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Data
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Optional: Alithea performs Differential Gene Expression analysis
Sample datasets
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Hap1
Number of samples:24Reads per sample in demo dataset:10'000 readsTo have access to the deep-sequenced dataset (7.3 M reads per sample) contact us.Demo dataset file size:13.3 MBHepG2
Number of samples:65Reads per sample in demo dataset:10'000 readsTo have access to the deep-sequenced dataset (3.9 M reads per sample) contact us.Demo dataset file size:4.76 MBHeLa
Number of samples:24Reads per sample in demo dataset:10'000 readsTo have access to the deep-sequenced dataset (7.1 M reads per sample) contact us.Demo dataset file size:13.6 MB
Validated cell lines
Cell line | Specie | Tissue | Culture type |
A375 | h.sapiens | Skin, malignant melanoma | adherent |
GM12878 | h.sapiens | PBMC, lymphoblastoid | suspension |
H295R | h.sapiens | Adrenal gland, carcinoma | adherent |
HAP1 | h.sapiens | KBM-7 derived, chronic myelogenous leukemia | adherent |
hASC | h.sapiens | Patient-derived adipose stromal cells | adherent |
hASC-Adipocytes | h.sapiens | Differentiated hASC | adherent |
HEK293 | h.sapiens | Kidney embryonic | adherent |
HeLa | h.sapiens | Cervix, adenocarcinoma | adherent |
HepG2 | h.sapiens | Liver, carcinoma | adherent |
Huh7 | h.sapiens | Liver, carcinoma | adherent |
iNeurons | h.sapiens | Differentiated iPSC | adherent |
MCF-7 | h.sapiens | Breast, adenocarcinoma | adherent |
PANC-1 | h.sapiens | Pancreas, carcinoma | adherent |
U2OS | h.sapiens | Bone, osteosarcoma | adherent |
FAQs
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To guarantee high quality data, we normally request that each sample contains at least 200ng of total RNA in at least 10μl.
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In addition to total RNA amount, it is important that the samples contain RNA of high integrity (RIN > 6) and are devoid of contaminants (Nanodrop A260/A230 between 1.8 and 2.2).
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BRB-seq is 3’-end RNA sequencing method and, as such, requires significantly less sequencing as compared to standard full-length RNA-seq in order to reach accurate gene quantification. We therefore normally recommend to sequence 4 to 5 million reads for each sample, which enables the reliable and unbiased detection of over 18’000 genes.
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As part of our standard service pipeline, we align the generated data to the genome of choice, provide a detailed report on the alignment and gene counting statistics and, finally, provide ready-to-use gene count matrices for downstream analysis.
Dr. Nuno Miguel Luis, CNRS Researcher
Dr. Hirokazu Okada, ETH Zurich
Prof. Dr. Marc Robinson-Rechavi, University of Lausanne
Prof. Dr. Martin Klingenspor, TUM Munich
Speak with our RNA sequencing experts
Need guidance or have questions about DRUG-seq and our service?
Easily book a call with our RNA-seq experts.