MERCURIUS™

High Sensitivity BRB-seq Service
for cost-effective bulk RNA-seq

Massively multiplexed low-input RNA-seq, compatible with low-input RNA samples from 1ng.

Discover Sample Datasets

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High sensitivity for low-input RNA

Bulk RNA sequencing at scale

Unbiased 3’ mRNA profiling

Broad species compatibility

About the service

The MERCURIUS™ High sensitivity BRB-seq service offers a convenient and scalable solution for transcriptomics projects with a limited input amount of RNA (starting from 100pg per sample).

As part of the service, users simply deliver their 96- or 384-well plates containing frozen cells to us in Switzerland or the United States.

Upon receipt of the plates, our team prepares the libraries, then sequences to your desired read depth per sample, and then performs data pre-processing.

We return results, including raw fastq files, sequencing and alignment reports, and gene count matrices suitable for downstream differential expression analyses, once the data meet our rigorous quality control criteria.

During the process, we always keep clients informed at defined checkpoints so we can decide together how best to proceed to the next steps.

per sample
From 0 ng
detected genes at
5M reads/sample
0 +
preps in a single tube
Up to 0
1

1. Client prepares the samples

2

2. Client sends submission form

3

3. Client ships samples to Alithea

4

4. Incoming QC - Client Checkpoint

(Nanodrop and Fragment analyzer)

1 week

5

5. MERCURIUS™ HS BRB-seq library preparation

2 days

6

6. Library QC - Client Checkpoint

(Qubit, Fragment analyzer, shallow sequencing)

1 week

7

7. Deep Sequencing on AVITI or Illumina, depending on the request by the client

1 week

8

8. Data analysis and reporting - Client Checkpoint

9

9. Data Delivery

Raw FASTQ files, sample report file, QC files, and gene count tables

1. MERCURIUS™ BRB-seq and HS BRB-seq Enable Flexible, Scalable Pooling Across a Wide Range of RNA Inputs and Sample Numbers

Total RNA input requirements for MERCURIUS™ BRB-seq and High Sensitivity BRB-seq (HS BRB-seq) across pool sizes of 24, 96, and 384 samples, and per-well RNA inputs of 1–1,000 ng. Standard BRB-seq supports per-well inputs from 10–1,000 ng, while HS BRB-seq extends compatibility down to 1 ng per well, enabling profiling of low-input samples such as rare cell populations or limited clinical material. Together, the two protocols cover total pool inputs ranging from 96 ng to 384,000 ng, providing a flexible and scalable solution for experiments of any size.

2. MERCURIUS™ HS BRB-seq has Superior Gene Detection at Low RNA Inputs Where Standard BRB-seq Sensitivity Declines

Number of detected genes between MERCURIUS™ BRB-seq and MERCURIUS™ High Sensitivity BRB-seq at different RNA inputs per sample. 96 samples were pooled together and sequenced at 2M reads/sample, and all replicates were prepared from the same RNA sample. These results demonstrate that MERCURIUS™ HS BRB-seq is the protocol of choice for low-input applications, preserving sensitivity where standard BRB-seq is compromised.

Sample Datasets

Human

Number of samples:
96
Reads per sample in demo dataset:
10'000 reads

To have access to the deep-sequenced dataset (9.5 M reads per sample) contact us.

Demo dataset file size:
79.9 MB

Mouse

Number of samples:
96
Reads per sample in demo dataset:
10'000 reads

To have access to the deep-sequenced dataset (8.9 M reads per sample) contact us.

Demo dataset file size:
78.6 MB

Cattle

Number of samples:
54
Reads per sample in demo dataset:
10'000 reads

To have access to the deep-sequenced dataset (5.7 M reads per sample) contact us.

Demo dataset file size:
28.4 MB

Wild Boar

Number of samples:
54
Reads per sample in demo dataset:
10'000 reads

To have access to the deep-sequenced dataset (6.3 M reads per sample) contact us.

Demo dataset file size:
27.7 MB

Bat

Number of samples:
23
Reads per sample in demo dataset:
10'000 reads

To have access to the deep-sequenced dataset (9 M reads per sample) contact us.

Demo dataset file size:
23.3 MB

Arabidopsis

Number of samples:
96
Reads per sample in demo dataset:
10'000 reads

To have access to the deep-sequenced dataset (3 M reads per sample) contact us.

Demo dataset file size:
47.9 MB

Spinach

Number of samples:
96
Reads per sample in demo dataset:
10'000 reads

To have access to the deep-sequenced dataset (9 M reads per sample) contact us.

Demo dataset file size:
83.9 MB

Drosophila

Number of samples:
96
Reads per sample in demo dataset:
10'000 reads

To have access to the deep-sequenced dataset (3 M reads per sample) contact us.

Demo dataset file size:
38.2 MB

Zebrafish

Number of samples:
64
Reads per sample in demo dataset:
10'000 reads

To have access to the deep-sequenced dataset (4 M reads per sample) contact us.

Demo dataset file size:
31.9 MB

Rainbow trout

Number of samples:
16
Reads per sample in demo dataset:
10'000 reads

To have access to the deep-sequenced dataset (5.3 M reads per sample) contact us.

Demo dataset file size:
8.76 MB

Medaka

Number of samples:
96
Reads per sample in demo dataset:
10'000 reads

To have access to the deep-sequenced dataset (4.7 M reads per sample) contact us.

Demo dataset file size:
50.6 MB

Publications

2024
Stéphanie Boder‐Pasche, Mustafa Demir, Sarah Heub, Manon Garzuel, Réal Ischer, Daniel Migliozzi,  Siegfried Graf, Noa Schmid, H. Baris Atakan, Daria Gudkova, Daniel Alpern,  Riccardo Dainese, Bart Deplancke, Gilles Weder
2025
Pham, C.N., Castelli, F., Finet, F., Leroy, C., Chollet, C., Chirayath, T.W., Moitra, S., Zarka, M., Ostertag, A., Brial, F., Combes, C., Latourte, A., Bardin, T., Fenaille, F., Richette, P. and Ea, H.K.

To guarantee high-quality data, we normally request that each sample contains at least 2ng/μl of total RNA in at least 15μl.

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).

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.

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.

Ask your question:

Getting started with our MERCURIUS™ High Sensitivity BRB-seq services is simple

You can either book a call with our experts to discuss your project or submit your experimental details via our contact form so we can review your design and requirements.

Based on the goals, sample types, and scale of your study, we may recommend starting with a pilot project to optimise conditions and de-risk a larger screen.

If you’re interested in implementing the technology in your own lab instead, you can explore our MERCURIUS™ High Sensitivity BRB-seq on the dedicated kits page.

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