Cost-efficient gene expression analysis method
for screening projects
Early pooling and batch processing save time effortlessly
Easily scalable from a few to 36,864 samples
QuantSeq-Pool is the optimal solution for gene expression profiling for large screening projects using sample barcoding, early pooling, and batch processing of up to 96 samples in one reaction providing a workflow that is easily scalable for multiplexing up to 36,864 samples.
High Strand-Specificity
QuantSeq-Pool maintains exceptional strand-specificity of >99.9 % and allows to map reads to their corresponding strand on the genome, enabling the discovery and quantification of antisense transcripts and overlapping genes.
Direct Counting for Gene Expression Quantification
Just one fragment per transcript is produced; therefore, no length normalization is required. This allows more accurate determination of gene expression values and renders QuantSeq the best alternative to microarrays and conventional RNA-Seq in gene expression studies.
Simple Bioinformatics Analysis
Read mapping is simplified by skipping the junction detection. Reads are generated at the transcripts’ most 3′ end where nearly no junctions are located. Data processing can hence be accelerated by using e.g., Bowtie2 instead of TopHat2.
Unique Molecular Identifiers
UMIs are built-in for QuantSeq-Pool and are introduced in the very first step of the protocol. UMIs are 10 nucleotides long and read out at the start of Read 2. Use the UMI information to identify PCR duplicates and eliminate amplification bias.