Allele-resolved monosome and polysome sequencing identifies functional cis-acting variants affecting mRNA translation efficiency
Laura AlunnoiD, Ilaria Massignani, Meriem Hadjer HamadouiD, Fabio MazzaiD, Daniele PeroniiD, Romina BelliiD, Erik DassiiD, Alessandro RomaneliD, Alberto IngaiD
Abstract
To prioritize germline genetic variants affecting mRNA fate at the post-transcriptional and translational levels, we leveraged sucrose-gradient-based isolation of 80S monosomes and polysomes, followed by mRNA retrieval and paired-end sequencing. Total cytoplasmic RNA was also sequenced for comparison. Experiments were performed in the non-transformed cell line RPE-1, cultured under basal conditions or upon p53 activation by Nutlin. Differential gene expression analysis confirmed a canonical p53 response. Heterozygous SNPs and SNVs were identified from the RNA-seq data, and allelic fractions (AF) were calculated for total, monosomal, and polysomal mRNAs. Variants showing reproducible AF differences across fractions beyond experimental variability were defined as tranSNPs. Among nearly 7000 heterozygous variants analyzable in polysomal or total RNA and over 5000 in monosomal mRNA, 1155 displayed a significant imbalance. Reporter assays performed in both RPE-1 and HCT116 cells validated allelic or haplotype effects for 17 selected variants in UTRs and coding regions, confirming differences in 15 cases, with evidence of cell line-specific responses. Proteomic analysis further supported allelic imbalance for selected missense variants. Overall, tranSNPs were identified in a non-transformed cell line at frequencies comparable to those in cancer cells, thereby extending their implications in human physiology. Further, monosome profiling enabled improved detection sensitivity of tranSNPs without positional bias, suggesting that 80S profiling improves detection of allele-specific translational regulation in RPE-1 cells. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=121 SRC="FIGDIR/small/723424v1_ufig1.gif" ALT="Figure 1"> View larger version (36K): org.highwire.dtl.DTLVardef@f10281org.highwire.dtl.DTLVardef@db91ccorg.highwire.dtl.DTLVardef@140ea91org.highwire.dtl.DTLVardef@e80c99_HPS_FORMAT_FIGEXP M_FIG C_FIG
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 0
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Polysomal profiling coupled to allele-specific proteomics reveals an EIF4H tranSNP allele possessing higher mRNA translation potential.
Meriem Hadjer Hamadou, Laura Alunno, … Alberto Inga·Molecular & Cellular ProteomicsPeer-reviewed·Feb 20, 2026
- Genetic variation shapes human mRNA translation and disease risk
Siqi Wang, Chuyun Chen, … Zefeng Wang·bioRxiv·Feb 12, 2026
- Ribosome profiling reveals the translational landscape and allele-specific translation efficiency in rice
Xi-Tong Zhu, Run Zhou, … Ling‐Ling Chen·Plant CommunicationsPeer-reviewed·Oct 4, 2022
- TRAP-based allelic translation efficiency imbalance analysis to identify genetic regulation of ribosome occupancy in specific cell types in vivo.
Yating Liu, Anthony D. Fischer, … Joseph D. Dougherty·bioRxiv·Aug 24, 2020
- Simultaneous quantification of mRNA and protein in single cells reveals post-transcriptional effects of genetic variation
Christian Brion, Sheila Lutz, Frank Wolfgang Albert·eLifePeer-reviewed·Nov 16, 2020
- Translational activity of 80S monosomes varies dramatically across different tissues
Albert Blandy, Tayah S. Hopes, … Julie L. Aspden·Nucleic Acids ResearchPeer-reviewed·Apr 22, 2025