Detection of ac4C in human mRNA is preserved upon data reassessment

Hamid Beiki, David Sturgill, Daniel Arango, Sebastien Relier, Sarah Schiffers, Shalini Oberdoerffer*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

We recently reported the distribution of N4-acetylcytidine (ac4C) in HeLa mRNA at base resolution through chemical reduction and the induction of C:T mismatches in sequencing (RedaC:T-seq). Our results contradicted an earlier report from Schwartz and colleagues utilizing a similar method termed ac4C-seq. Here, we revisit both datasets and reaffirm our findings. Through RedaC:T-seq reanalysis, we establish a low basal error rate at unmodified nucleotides that is not skewed to any specific mismatch type and a prominent increase in C:T substitutions as the dominant mismatch type in both treated wild-type replicates, with a high degree of reproducibility across replicates. In contrast, through ac4C-seq reanalysis, we uncover significant data quality issues including insufficient depth, with one wild-type replicate yielding 2.7 million reads, inconsistencies in reduction efficiencies between replicates, and an overall increase in mismatches involving thymine that could obscure ac4C detection. These analyses bolster the detection of ac4C in HeLa mRNA through RedaC:T-seq.

Original languageEnglish (US)
Pages (from-to)1611-1625.e3
JournalMolecular cell
Volume84
Issue number8
DOIs
StatePublished - Apr 18 2024

Funding

This study utilized the Biowulf Linux cluster at the National Institutes of Health, Bethesda, MD ( http://biowulf.nih.gov ). This work is supported by the Intramural Research Program of NIH , Center for Cancer Research . National Cancer Institute . D.A. was supported by NCI K99/R00 grant R00CA245035 .

Keywords

  • ac4C
  • acetylcytidine
  • epitranscriptome
  • NAT10

ASJC Scopus subject areas

  • Molecular Biology
  • Cell Biology

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