PSeq Technology

PSeq — A New Category of Sequencing Technology

1986
Sanger Sequencing
Sanger
right-arrow
2005
Next Generation Sequencing
(NGS)
NGS
right-arrow
2011
3rd Generation Sequencing
3rd Gen
right-arrow
2025
Phased Sequencing
Phased Sequencing
PSeq™
▪ NGS ▪ chemistry ▪ applied info theory ▪ software

How PSeq Technology Works

Single-molecule tagging

Each RNA molecule is reverse-transcribed using one of 4.3 trillion multifunctional tagging reagents, uniquely labeling individual molecules.

Intramolecular library construction

Tagged molecules are converted into sequencing-ready DNA libraries using reactions confined to intramolecular rearrangements.

Automated data processing

Standard FASTA files from the sequencer are processed end-to-end by the automated PSeq data pipeline.

PSeq long-read sequencing runs on unmodified NGS sequencers now widely in service, eliminating the need to purchase specialized Third Generation instruments and robotics, or hire highly specialized staff training.

PSeq Workflow

Phaeno PSeq phased long-read technology is easy to use and easily fits into existing workflows.


collect
RNA
Sample
rna sample
next step
apply
PSeq
Chemistry
beakers and test tubes
next step
sequence
NGS
System
NGS sequencing instrument
next step
execute
PSeq
Software
Stack
Computer
next step
deliver
Isoform
Resolved
Insights
Data table

apply: PSEQ Chemistry

Our sample preparation protocol consists of five steps.

  • step 1 Molecular tagging: reverse transcription molecular tagging with individual barcodes and strand discriminators.
  • step 3 Isothermal amplification: PCR-free amplification.
  • step 4 Intermolecular UMI (tag) redistribution: SMIDs are relocated intramolecularly to the start of Read 1 in standard paired-end NGS libraries.
  • step 5 Companion tools: retrieval of individual, barcode identified molecules, discovered by sequencing.

execute: PSeq Software Stack

Phaeno's fully-automated pipeline enables direct, rapid data assembly.

  • bullet point Fully automated compute; data polishing unnecessary.
  • bullet point No use of priors or statistical algorithms.
  • bullet point Includes in silico tools for generating AI/ML training sets.

deliver: Isoform Resolved Insights

Detailed data at the individual molecule level. How you want it.

  • bullet point Data consolidation for low-cost transmission, and optimized for ML.
  • bullet point ORF-constitutive and alternative protein-coding exons
  • bullet point Alternative translation initiation sites
  • bullet point Alternative polyadenylation (chain termination) sites
  • bullet point RNA trafficking “zip” codes
  • bullet point And much more...