2026/01/01 by Franco Poma-Soto, Brecht Soulliaert, Hanne Van Droogenbroeck +2 · 1 voice
Biochemistry, Genetics and Molecular Biology · #CRISPR and Genetic Engineering #Genomics and Phylogenetic Studies #Single-cell and spatial transcriptomics
paper · doi:10.1093/bioadv/vbag080
openalex publication_date 2026/01/01 · openalex created_date 2026/03/20 · openalex updated_date 2026/07/30
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.