MERCURIUS™
BRB-seq kits
Library preparation kits for Illumina®, AVITI™ and MGI*
96, 384 RNA-seq library preps in one tube.
* For native kits' compatibility with MGI sequencers, contact us.
Catalog number | #10813 | #11013 | #10814 | #11014 |
Total preps How many library preps can be prepared in total with one kit | 96 | 384 | 384 | 1'536 |
RNA and plate multiplexing format How many samples can be multiplexed in one single tube | 96 | 96 | 384 | 384 |
Barcoded oligo-dT plates included | 1 | 4 | 1 | 4 |
UDI pairs included How many individual libraries can be sequenced together | 4 | 4 | 4 | 4 |
Documentation |
Cat ##10813 | ||||
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Total reactions How many library preps can be prepared in total with one kit | ||||
RNA multiplexing format How many library preps can be prepared in total with one kit | 96 | |||
UDI pairs included How many library preps can be prepared in total with one kit | 4 | |||
Cat ##11013 | ||||
---|---|---|---|---|
Total reactions How many library preps can be prepared in total with one kit | ||||
RNA multiplexing format How many library preps can be prepared in total with one kit | 96 | |||
UDI pairs included How many library preps can be prepared in total with one kit | 4 | |||
Cat ##10814 | ||||
---|---|---|---|---|
Total reactions How many library preps can be prepared in total with one kit | ||||
RNA multiplexing format How many library preps can be prepared in total with one kit | 384 | |||
UDI pairs included How many library preps can be prepared in total with one kit | 4 | |||
Cat ##11014 | ||||
---|---|---|---|---|
Total reactions How many library preps can be prepared in total with one kit | ||||
RNA multiplexing format How many library preps can be prepared in total with one kit | 384 | |||
UDI pairs included How many library preps can be prepared in total with one kit | 4 | |||
Add-ons
Accessories
UDI expansion
module
- Compatible with the MERCURIUS™ product line.
- 12 UDI pairs.
- Flexible dual indexing solutions.
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Benefits
The MERCURIUS™ BRB-seq library preparation kits for Illumina® and AVITI contain all the oligos and enzymes needed to go from purified RNA to sequencing-ready libraries.
Bulk RNA sequencing at scale BRB-seq as a flexible solution One-day lab workflow
Perform up-to 384 RNA-seq library preparations in one single tube.
For projects of all sizes: from 96 to 24'576 reactions in one kit. All-inclusive.
Convenient and short protocol from samples to sequencing-ready libraries in one day.
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Experimental workflow at a glance
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Performance
1. 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
2. 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.
3. 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.
4. 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.
5. 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.
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Product specifications
For (application)
3' mRNA sequencing
For use with (equipment)
Illumina and AVITI NGS instruments
Species compatibility
All eukaryotic species
Available formats
96, 384, 1'536, 6'144 and 24'576 preps
Shipping conditions
Dry ice
Storage conditions
-20C
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Citations
Please visit the dedicated page for a complete list.
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Sofa Pavlou, Stefanie Foskolou, Nikolaos Patikas, Sarah F. Field, Evangelia K. Papachristou, Clive D’ Santos, Abigail R. Edwards, Kamal Kishore, Rizwan Ansari, Sandeep S. Rajan, Hugo J. R. Fernandes, Emmanouil Metzakopian. 2023. CRISPR‑Cas9 genetic screen leads to the discovery of L‑Moses, a KAT2B inhibitor that attenuates Tunicamycin‑mediated neuronal cell death. Scientific Reports, 13:3934. https://doi.org/10.1038/s41598-023-31141-6
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Christian, W. T., Tiphaine, O.-M., Nava, E., Christian, H., Federico, A. S., Jonathan, N., Dominique, C., Cécile, G., Laurence, M., Sophia, S. W., Shehnaz, K. H., Ioannis, T., Matthias, C., Andri, R., Manuel, B., Matthias, H., Patrick, S., Enos, B., Huldrych, F. G., Pejman, M., Paul, J. M., Charles, S. R., Caroline, B., & Jacques, F. 2020. Genetic variation near CXCL12 is associated with susceptibility to HIV-related non-Hodgkin lymphoma. Haematologica, 106(8): 2233-2241. https://doi.org/10.3324/haematol.2020.247023
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Lalli, M., Yen, A., Thopte, U., Dong, F., Moudgil, A., Chen, X., Milbrandt, J., Dougherty, Joseph D., & Mitra, Robi D. 2022. Measuring transcription factor binding and gene expression using barcoded self-reporting transposon calling cards and transcriptomes. NAR Genomics and Bioinformatics, 4(3). https://doi.org/10.1093/nargab/lqac061
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Li, Y., Schwalie, P. C., Bast-Habersbrunner, A., Mocek, S., Russeil, J., Fromme, T., Deplancke, B., & Klingenspor, M. 2019. Systems-Genetics-Based Inference of a Core Regulatory Network Underlying White Fat Browning. Cell Reports, 29(12): 4099-4113.e4095. https://doi.org/10.1016/j.celrep.2019.11.053
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Litovchenko, M., Meireles-Filho, A. C. A., Frochaux, M. V., Bevers, R. P. J., Prunotto, A., Anduaga, A. M., Hollis, B., Gardeux, V., Braman, V. S., Russeil, J. M. C., Kadener, S., dal Peraro, M., & Deplancke, B. 2021. Extensive tissue-specific expression variation and novel regulators underlying circadian behavior. Science Advances, 7(5): eabc3781. https://doi.org/10.1126/sciadv.abc3781
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Sample datasets
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Human
Number of samples: 96Reads per sample in demo dataset:10'000 readsTo have access to the deep-sequenced dataset (9.5M reads per sample) contact us.Demo dataset file size:79.9 MBMouse
Number of samples: 96Reads per sample in demo dataset:10'000 readsTo have access to the deep-sequenced dataset (8.9M reads per sample) contact us.Demo dataset file size:78.6 MBCattle
Number of samples: 54Reads per sample in demo dataset:10'000 readsTo have access to the deep-sequenced dataset (5.7M reads per sample) contact us.Demo dataset file size:28.4 MBWild boar
Number of samples: 54Reads per sample in demo dataset:10'000 readsTo have access to the deep-sequenced dataset (6.3M reads per sample) contact us.Demo dataset file size:27.7 MBBat
Number of samples: 23Reads per sample in demo dataset:10'000 readsTo have access to the deep-sequenced dataset (9M reads per sample), contact us.Demo dataset file size:23.3 MB -
Arabidopsis
Number of samples: 96Reads per sample in demo dataset:10'000 readsTo have access to the deep-sequenced dataset (3M reads per sample), contact us.Demo dataset file size:47.9 MBSpinach
Number of samples: 96Reads per sample in demo dataset:10'000 readsTo have access to the deep-sequenced dataset (9M reads per sample) contact us.Demo dataset file size:83.9 MB -
Drosophila
Number of samples: 96Reads per sample in demo dataset:10'000 readsTo have access to the deep-sequenced dataset (3M reads per sample), contact us.Demo dataset file size:38.2 MB -
Zebrafish
Number of samples: 64Reads per sample in demo dataset:10'000 readsTo have access to the deep-sequenced dataset (4M reads per sample) contact us.Demo dataset file size:31.9 MBRainbow trout
Number of samples: 16Reads per sample in demo dataset:10'000 readsTo have access to the deep-sequenced dataset (5.3M reads per sample) contact us.Demo dataset file size:8.76 MBMedaka
Number of samples: 96Reads per sample in demo dataset:10'000 readsTo have access to the deep-sequenced dataset (4.7M reads per sample) contact us.Demo dataset file size:50.6 MB
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.
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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.
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The barcode set for your kit is conveniently located on the kit label. Please refer to the label for accurate identification.
For optimal compatibility, ensure that you use the appropriate plate format (e.g., for kits designed for 96 reactions, the 96 well-plate format should be used). This ensures accurate and efficient processing of your samples. If you have any further questions or concerns, please contact our support team for assistance by email or using our live chat tool.
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.