miRNA Isoform Spectrum Expansion by Overexpression May Affect Target Gene Silencing

Abstract MicroRNAs (miRNAs) regulate gene expression primarily through translational inhibition and mRNA degradation. Their functional complexity is increased by the presence of various mature isoforms (isomiRs). These isomiRs add diversity to miRNA targeting and regulation, yet their impact on cellular systems remains insufficiently understood. In this study, we systematically assessed the effects of miRNA overexpression on the isomiR repertoire of five miRNAs (mir-34a, mir-129, mir-873, mir-133b, mir-7) across four different human cell lines (HeLa, HEK293T, LUHMES, and SH-SY5Y). Our results reveal a pronounced heterogeneity of isomiR profiles, which expanded significantly under overexpression conditions, with up to 845 unique isoforms detected per miRNA. Through time-course and dose-response experiments, we observed that the isomiR diversity increased rapidly within 8 hours following transfection and was sensitive to the amount of miRNA precursor transfected. Proteomic analysis indicated that changes in the isomiR repertoire might affect the regulatory capacity of miRNAs, altering the amplitude and frequency of target repression. Our findings underscore the complexity of miRNA regulation and highlight potential pitfalls in interpreting overexpression experiments, which may artificially expand the isomiR landscape and consequently modify the targetome. This study calls for careful consideration of isomiR dynamics in miRNA research and therapeutic development.

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Publication Details

Journal
Genomics Proteomics & Bioinformatics
Published
2026-09-30
DOI
https://doi.org/10.1093/gpbjnl/qzag101
Primary Topic
MicroRNA in disease regulation
Type
article
Field-Weighted Citation Impact
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article

miRNA Isoform Spectrum Expansion by Overexpression May Affect Target Gene Silencing

Lena Krammes, Ernesto Aparicio‐Puerta, Andreas Keller, Nicole Ludwig et al.
Genomics Proteomics & Bioinformatics
MicroRNA in disease regulation
article

miRNA Isoform Spectrum Expansion by Overexpression May Affect Target Gene Silencing

Lena Krammes, Ernesto Aparicio‐Puerta, Andreas Keller, Nicole Ludwig, Bastian Fromm, Claudia Fecher‐Trost, Eckart U. Meese, Veit Flockerzi, Annika Engel, Caroline Diener, Martin Hart, Tobias Fehlmann, Fabian Kern, Pascal Hirsch
article en

Abstract

Abstract MicroRNAs (miRNAs) regulate gene expression primarily through translational inhibition and mRNA degradation. Their functional complexity is increased by the presence of various mature isoforms (isomiRs). These isomiRs add diversity to miRNA targeting and regulation, yet their impact on cellular systems remains insufficiently understood. In this study, we systematically assessed the effects of miRNA overexpression on the isomiR repertoire of five miRNAs (mir-34a, mir-129, mir-873, mir-133b, mir-7) across four different human cell lines (HeLa, HEK293T, LUHMES, and SH-SY5Y). Our results reveal a pronounced heterogeneity of isomiR profiles, which expanded significantly under overexpression conditions, with up to 845 unique isoforms detected per miRNA. Through time-course and dose-response experiments, we observed that the isomiR diversity increased rapidly within 8 hours following transfection and was sensitive to the amount of miRNA precursor transfected. Proteomic analysis indicated that changes in the isomiR repertoire might affect the regulatory capacity of miRNAs, altering the amplitude and frequency of target repression. Our findings underscore the complexity of miRNA regulation and highlight potential pitfalls in interpreting overexpression experiments, which may artificially expand the isomiR landscape and consequently modify the targetome. This study calls for careful consideration of isomiR dynamics in miRNA research and therapeutic development.

Genomics Proteomics & Bioinformatics
Arctic Nutrition (Norway) (NO), Arctic Research Centre (SE), Institute of Human Genetics (PL), Helmholtz Institute for Pharmaceutical Research Saarland (DE), UiT The Arctic University of Norway (NO), Saarland University (DE)
Openalex Percentile: Top 15%
MicroRNA in disease regulation
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