PeakPrime: a peak-guided primer design pipeline for target enrichment in 3′-end RNA-seq

Abstract

Abstract Motivation Targeted enrichment can offset the bias and depth requirements of random-primed second-strand synthesis in 3’-end RNA-seq by reallocating reads to transcripts of interest. We present PeakPrime, a reproducible Nextflow pipeline that (i) identifies high-coverage 3 ′ RNA-seq regions via MACS2, (ii) selects exonic windows around significant peaks, (iii) designs strand-appropriate cDNA primers via Primer3, and (iv) screens specificity with Bowtie2, producing publication-ready plots and quality control (QC) summaries.

Results We demonstrate coverage-informed primer design using a custom 3 ′ protocol that employs a barcoded oligo(dT)-VN primer, optimize parameters on IMR-32 neuroblastoma and Universal Human Reference RNA data, and validate primers by quantitative PCR (qPCR) and targeted 3 ′ RNA-seq. Targeted libraries preserve gene-level expression correlations with random-primed 3 ′ RNA-seq (Pearson r≈0.88 across conditions), while boosting the fraction of reads assigned to target genes from <1% to ∼25%–42% and increasing detection of the lowest-abundance transcripts. While empirically tested in bulk RNA-seq, PeakPrime enables extensions to single-cell and spatial workflows where oligo(dT) capture is followed by in situ reverse transcription and second-strand synthesis.

Availability and implementation PeakPrime source code, example configs, and documentation are available at https://github.com/OncoRNALab/PeakPrime.

Publication
Bioinformatics Advances
Franco Poma Soto
Franco Poma Soto
Doctoral Fellow

Bioinformatics and Oncology!

Brecht Soulliaert
Brecht Soulliaert
Doctoral Fellow
Hanne Van Droogenbroeck
Hanne Van Droogenbroeck
Doctoral Fellow
Pieter Mestdagh
Pieter Mestdagh
Professor

Studying non-coding RNAs in cancer.

Jo Vandesompele
Jo Vandesompele
Professor

RNA addict trying to connect all the dots