Maximizing low-input, low-quality samples for RNA-seq – from single-cell to high-throughput targeted sequencing
Elucidating molecular mechanisms and understanding genetic heterogeneity in drug discovery and complex biology can be achieved through high-throughput gene expression analysis and pathway assignment. Recent advances in RNA-seq methodologies have enabled accurate gene expression profiling from low-input and low-quality RNA samples, but analyzing hundreds or thousands of samples is an arduous exercise in library prep. QIAGEN’s QIAseq 3’ UPX technology provides a high-throughput RNA-seq library prep methodology where reverse transcription may be performed directly on lysed cells, while simultaneously assigning a unique ‘molecular index’ and ‘cell index’ to all cDNA synthesized from a sample. All subsequent full transcriptome or targeted panel library steps that follow occur in a single pooled tube. This technique allows ultra-plexing of thousands of samples per sequencing lane for a smart and resource-efficient workflow that enables the identification and characterization of gene signatures.
About the speaker
Sujash Chatterjee, Ph.D., Senior Field Application Specialist, Genomics
QIAGEN
Categories
Academic Basic Research
Next Generation Sequencing
Sequencing
Molecular Biology