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Total reactions
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96 | 384 | 384 | 1'536 | 6'144 | 36'864 |
RNA multiplexing format
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96 | 96 | 384 | 384 | 384 | 384 |
UDI pairs included
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4 | 4 | 4 | 4 | 4 | 4 |
Data analysis | ||||||
Manual |
Benefits
The MERCURIUS™ BRB-seq library preparation kits for Illumina® contain all the oligos and enzymes needed to go from purified RNA to sequencing-ready DNA libraries.
Bulk RNA sequencing at scale
Perform up-to 384 RNA-seq library preparations in one single tube.
Streamlined data pre-processing
Demultiplex and align your BRB-seq data with our easy-to-use cloud-based platform.
BRB-seq as a flexible solution
For projects of all sizes:
from 96 to 36'864 reactions in one kit.
All-inclusive.
One-day lab workflow
Convenient and short protocol from samples to sequencing-ready libraries in one day.
Experimental workflow at a glance

Performance
Uniform detection of 12'000+ genes at 1 million reads per sample across 384 samples

Distribution of the number of detected genes across...
Comparison of library complexity between BRB-seq and TruSeq at a comparable sequencing depth

Detected genes (left) and differentially expressed...
Benchmarking the performance of BRB-seq for DE genes at 3M reads/sample with other commercial platforms

Number of detected genes for the non-differentiated...
Benchmarking the performance for library prep between BRB-seq and two other commercial kits

Genome-wide Pearson correlation of mapped reads for...
4000+ DE genes with 3M reads/sample at FDR 0.5

Number of differentially expressed genes across three...
Uniform detection of 12'000+ genes at 1 million reads per sample across 384 samples

Distribution of the number of detected genes across 384 samples prepared with the MERCURIUS™ BRB-seq library preparation kit. The library was sequenced at an average of 1 million reads
Comparison of library complexity between BRB-seq and TruSeq at a comparable sequencing depth

Detected genes (left) and differentially expressed genes (right) obtained on the same samples with BRB-seq and TruSeq. At comparable sequencing depth, the performance of BRB-seq data is comparable with TruSeq libraries.
Benchmarking the performance of BRB-seq for DE genes at 3M reads/sample with other commercial platforms

Number of detected genes for the non-differentiated (ND) and differentiated (D) Adipose Stromal Population Cells between BRB-seq and two other commercial kits. The expressed genes are split into three categories: Lowly Expressed (left, 0 < CPM < 10), Mid expressed (middle, 10 < CPM < 100), and Highly expressed (right, CPM > 100). To note: all replicates were prepared from the same RNA sample and the sequencing depth was 3M reads/sample.
Benchmarking the performance for library prep between BRB-seq and two other commercial kits

Genome-wide Pearson correlation of mapped reads for the non-differentiated (ND) and differentiated (D) Adipose Stromal Population Cells between BRB-seq and two other commercial kits. A high correlation was observed both within technical replicates and across different library prep kits.
4000+ DE genes with 3M reads/sample at FDR 0.5

Number of differentially expressed genes across three commercial platforms, including BRB-seq, at different FDR cutoff values. To note: all replicates were prepared from the same RNA sample and the sequencing depth was 3M reads/sample.
Product Specifications
FAQs
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Each BRB-seq kit contains reagents (including four pairs of Unique Dual Indexing adapters) sufficient for the complete library preparation process for four different BRB-seq pools.
To note, the total number of RNA samples that can be processed with one kit does not exceed the kit specifications; for instance, a 96-samples kit can be used to prepare up-to 96 samples distributed across up-to four different libraries.
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The recommended range of RNA amount for each sample is of 50ng-1μg, normally the more RNA, the better.
The minimum recommended RIN number is 6 and the A260/230 ratio (Nanodrop) should be in the 1.5-2.2 range.
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The only difference between BRB-seq and standard RNA-seq data analysis is the demultiplexing step, which is used to assign sequencing reads to their sample of origin based on the BRB-seq barcode sequence.
For a thorough description of BRB-seq data processing, please refer to the BRB-seq kit user guide. In order to facilate as much as possible BRB-seq data analysis, we have also created a dedicate pipeline which can be found in our “SOFTWARE” page.
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One of the key advantages of BRB-seq is that it does not only save reagents and cost in the library preparation stage, but also in the sequencing one.
As opposed to standard RNA-seq, where 20M-30M reads per sample are required, we normally recommend to sequence BRB-seq libraries at a depth of 4M-5M reads per sample, which is normally enough to detect the vast majority of expressed genes.
Speak with our RNA sequencing experts
Book a one-on-one call with one of our RNA experts to discover how we can assist your next project.