RNA-Sequencing
Unlocking True Expression:
RNA-Seq Without the Guesswork
Small RNA-Sequencing
Because RNA Is RNA, No Matter How Small
Tired of your small RNA libraries acting like divas — some hogging all the PCR cycles while others barely get amplified? This app note reveals how our AutoNorm™ technology brings the chaos to heel by monitoring each sample in real-time and stopping amplification exactly when it should, no babysitting required. We teamed up with Revvity to put iconPCR through its paces using their NEXTFLEX Small RNA-Seq kits, testing everything from microRNA-rich brain tissue to the slacker samples, and spoiler alert: the variability dropped by nearly half. Download to see how we finally got these libraries to play nice together.
FFPE RNA-Sequencing
Library Prep and RNA-Seq: Finally Living Together in Perfect Harmony
Say goodbye to overamplification and wavering data quality — iconPCR with AutoNorm brings harmony to RNA-seq library prep. Instead of spending precious time quantifying inputs and splitting samples based on quality, every well is individually optimized with real-time feedback, stopping amplification exactly where it should. That means no more under- or over-cycling, even for those tricky FFPE or degraded samples. The result? More genes detected, lower PCR artifacts and duplication rates, boosted data quality, and an effortless workflow that lets you process mixed quality samples all at once — while reducing hands-on time by up to 50%. Why settle for mediocre melodies when you can have a symphony of high-fidelity RNA-seq data?
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Single Cell RNA-Sequencing
Every Cell Counts: Single Cell RNA-Seq, Perfected
Single cell experiments demand precision, speed, and the confidence that each cell's expression truly shines. iconPCR with AutoNorm takes the stress out of single cell RNA-seq, eliminating the need to know your cell count or RNA content up front. Our platform stops each amplification reaction at the perfect point using real-time fluorescence, so you can run all your single cell libraries—regardless of input or complexity—side by side in one instrument. Fewer runs, fewer errors, zero loss of data quality, and all the flexibility you crave. Fire up your single cell explorations knowing iconPCR has your back (and your UMAP clusters).
30% Less Cost, 100% More Confidence
HudsonAlpha puts iconPCR to work on a large-scale RNA biomarker challenge
When HudsonAlpha Institute researchers needed to sequence hundreds of apple samples to find RNA biomarkers for fruit maturity, variable RNA inputs and manual normalization steps were eating their budget alive. By running library prep on icon96 with AutoNorm, they skipped two normalization steps entirely — processing 384 samples with up to 5-fold input variation without missing a beat. The outcome: 11 reproducible harvest-timing biomarkers and a 30% reduction in RNA-seq costs. Download the case study to see how it works.
