Comparative analysis between RNA-seq and single-molecule RNA FISH indicates that the pyrimidine nucleobase idoxuridine (IdU) globally amplifies transcriptional noise
Giuliana CaliaiD, Xinyue CheniD, Binyamin ZuckermaniD, Leor S. WeinbergeriD
Abstract
Stochastic fluctuations (noise) in transcription generate substantial cell-to-cell variability, but the physiological roles of noise have remained difficult to determine in the absence of generalized noise-modulation approaches. Previous single-cell RNA-sequencing (scRNA-seq) suggested that the pyrimidine-base analog (5-iodo-2-deoxyuridine, IdU) could generally amplify noise without substantially altering mean-expression levels but scRNA-seq technical drawbacks potentially obscured the penetrance of IdU-induced transcriptional noise amplification. Here we quantify global-vs.-partial penetrance of IdU-induced noise amplification by assessing scRNA-seq data using numerous normalization algorithms and directly quantifying noise using single-molecule RNA FISH (smFISH) for a panel of genes from across the transcriptome. Alternate scRNA-seq analyses indicate IdU-induced noise amplification for ~90% of genes, and smFISH data verified noise amplification for ~90% of tested genes. Collectively, this analysis indicates which scRNA-seq algorithms are appropriate for quantifying noise and argues that IdU is a globally penetrant noise-enhancer molecule that could enable investigations of the physiological impacts of transcriptional noise. Graphical Abstract O_FIG_DISPLAY_L [Figure 1] M_FIG_DISPLAY C_FIG_DISPLAY
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 8
- 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
- Quantitative comparison of single-cell RNA sequencing versus single-molecule RNA imaging for quantifying transcriptional noise
Neha Khetan, Binyamin Zuckerman, … Leor S. Weinberger·bioRxiv·Aug 9, 2024
- Cross-chemistry single-nucleus RNA-seq identifies gene length and CpG-island promoters as determinants of transcriptional noise.
Rafal Czapiewski, Michael Chiang, … Nick Gilbert·bioRxiv·Aug 28, 2026
- On the Analysis of Transcriptional Noise From RNA-sequencing Data
Kristoffer Vitting‐Seerup·bioRxiv·Apr 6, 2021
- Batch effects and the effective design of single-cell gene expression studies
Po-Yuan Tung, John D Blischak, … Yoav Gilad·Scientific ReportsPeer-reviewed·Jan 3, 2017
- Extrinsic biological stochasticity and technical noise normalization of single-cell RNA sequencing data
Meichen Fang, Lior S. Pachter·bioRxiv·May 11, 2025
- The impact of amplification on differential expression analyses by RNA-seq
Swati Parekh, Christoph Ziegenhain, … Ines Hellmann·Scientific ReportsPeer-reviewed·May 9, 2016