Integrating transcriptomics and proteomics to assess antisense oligonucleotide safety and efficacy: a time-resolved approach

Abstract Antisense oligonucleotides (ASOs) are promising therapeutics, but safety concerns regarding liver toxicity and off-target (OffT) effects necessitate thorough evaluation during the compound selection process. This study leverages time course global proteomics and transcriptomics to assess ASO-induced changes in vitro, comparing liver toxic versus non-liver toxic ASOs. The research confirms that ASOs perturb different cellular pathways at both RNA and protein levels, effectively discriminating between liver toxic and non-liver toxic ASOs. Contrary to expectations, protein level reduction isn’t delayed relative to ASO-induced RNA reduction, highlighting the importance of understanding RNA and protein level relationships in specific model systems. Furthermore, many OffT effects observed at the RNA level do not directly translate to corresponding protein level changes. These findings suggest that current RNA-focused OffT assessment strategies capture predicted OffTs but could benefit from protein level studies that could potentially de-risk oligonucleotide drug (OND) candidates with seemingly problematic OffT profiles at the RNA level. The study underscores the value of global proteomics as a complement to RNAseq in ASO drug development, refining safety assessment and improving candidate selection.

Authors

Institutions

Publication Details

Journal
NAR Molecular Medicine
Published
2026-03-17
DOI
https://doi.org/10.1093/narmme/ugag016
Primary Topic
DNA and Nucleic Acid Chemistry
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrating transcriptomics and proteomics to assess antisense oligonucleotide safety and efficacy: a time-resolved approach

Daniël van Leeuwen, Eric Miele, Irina Mohorianu, Ghaith M. Hamza et al.
NAR Molecular Medicine
DNA and Nucleic Acid Chemistry
article

Integrating transcriptomics and proteomics to assess antisense oligonucleotide safety and efficacy: a time-resolved approach

Daniël van Leeuwen, Eric Miele, Irina Mohorianu, Ghaith M. Hamza, J. Wang, Nicola Guzzi, Ritwick Sawarkar, Eleanor C Williams, Sebastian Prill, Anthony A. Iannetta, Jennifer Y. Tan, Patrik Urban Andersson, Britney Chu, Miriam Cipullo, Danang Crysnanto
article en

Abstract

Abstract Antisense oligonucleotides (ASOs) are promising therapeutics, but safety concerns regarding liver toxicity and off-target (OffT) effects necessitate thorough evaluation during the compound selection process. This study leverages time course global proteomics and transcriptomics to assess ASO-induced changes in vitro, comparing liver toxic versus non-liver toxic ASOs. The research confirms that ASOs perturb different cellular pathways at both RNA and protein levels, effectively discriminating between liver toxic and non-liver toxic ASOs. Contrary to expectations, protein level reduction isn’t delayed relative to ASO-induced RNA reduction, highlighting the importance of understanding RNA and protein level relationships in specific model systems. Furthermore, many OffT effects observed at the RNA level do not directly translate to corresponding protein level changes. These findings suggest that current RNA-focused OffT assessment strategies capture predicted OffTs but could benefit from protein level studies that could potentially de-risk oligonucleotide drug (OND) candidates with seemingly problematic OffT profiles at the RNA level. The study underscores the value of global proteomics as a complement to RNAseq in ASO drug development, refining safety assessment and improving candidate selection.

NAR Molecular Medicine
University of Cambridge (GB), AstraZeneca (South Korea) (KR), AstraZeneca (Australia) (AU), AstraZeneca (Japan) (JP), Stem Cell Institute (PA), AstraZeneca (Finland) (FI), AstraZeneca (United States) (US), MRC Epidemiology Unit (GB), AstraZeneca (Germany) (DE)
Reduced inequalities
Openalex Percentile: Top 19%
DNA and Nucleic Acid Chemistry
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.