MERCURIUS™ DRUG-Seq-kits for MGI | High-throughput RNA seq

	Cat #10941	Cat #11141
Total reactions How many library preps can be prepared in total with one kit	96	384
RNA and plate multiplexing format How many samples can be multiplexed in one single tube	96	96
Barcoded oligo-dT plates included	1	4
Fragmentation Adaptors	4	4
Documentation	Download user guide

Cat #10941
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
Download Manual

Cat #11141
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
Download Manual

An optimized lysis buffer for complete lysis and efficient reverse transcription.

Without pre-amplification, leading to higher mapping and gene detection rates.

More samples, more replicates. Robust results, significant discoveries.

Specially designed for MGI systems, no additional library conversion kit is needed.

Convenient and short protocol from samples to sequencing-ready libraries in one day.

Product Specifications

For (application)

3' mRNA sequencing

For use with (equipment)

MGI T and G series instruments

Species compatibility

All eukaryotic species

Available formats

96, 384 reactions

Shipping conditions

Dry ice

Storage conditions

-20C

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.
The recommended range of input material is in the range of 5’000-50’000 cells.
The only difference between DRUG-seq and standard RNA-seq data analysis is the demultiplexing step, which assigns sequencing reads to their origin sample based on the DRUG-seq barcode sequence.

For a thorough description of DRUG-seq data processing, please refer to the DRUG-seq kit user guide.