Biology subjects

Vock, I. W.

Publications and source records attributed to Vock, I. W..

7 recordsLinked to original sources

bioRxiv2025

Investigation of TRMT61B methyltransferase activity on mRNA and its effects on translation

Despite recent advances in technology to map RNA chemical modifications transcriptome-wide, the distribution of N{superscript 1}-methyladenosine (m{superscript 1}A) in mRNA remains contested, hindering a clear understanding of its function. Additionally, the enzyme(s) that installs the majority of reported mRNA m1A sites has yet to be identified. In this study, we characterized TRMT61B, an m1A methyltransferase known to methylate mitochondrial RNAs, but whose sequence preferences have been underexplored. By integrating cellular overexpression of TRMT61B and in vitro methylation of a synthetic pool of diverse human RNA sequences, we identified a preference for a YMRA consensus motif in single stranded RNA regions. In these experiments, TRMT61B methylated thousands of novel human mRNA sites, revealing activity on cytosolic mRNAs. We used these novel m1A-modifiable sequences to test the effects of m1A on translation of luciferase reporters and on ribosome recruitment to modified transcripts in the pool. We found that m1A addition can significantly affect translation and ribosome recruitment, but that these effects are vary by transcript. Taken together, our results can inform future studies of TRMT61B and mRNA, and emphasize that studies of m1A regulation of mRNA must be carried out and interpreted in a highly context-aware manner.

biochemistry↗

bioRxiv2025

RNADecayCafe, a uniformly processed atlas of RNA half-life estimates across multiple human cell lines

RNA expression levels are partially determined by RNA stabilities. Long-lived RNAs accumulate to higher levels than rapidly degraded RNAs when transcribed at the same rate. The extent to which RNA decay contributes to differences in gene expression between genes in the same cell or between different cell types has not been extensively examined. This is in part because reproducible RNA half-life estimates from different biological contexts have not been broadly collected and curated. To address this, we have developed RNAdecayCafe, a database of high-quality RNA half-life estimates in multiple human cell lines. RNAdecayCafe makes use of pulse-label nucleotide recoding RNA-seq data (namely SLAM-seq and TimeLapse-seq), which we found to provide consistent and orthogonally validated half-life estimates. In total, RNAdecayCafe provides half-life estimates from 11 different human cell lines across 15 datasets and a total of 64 samples that were uniformly processed with a set of optimized bioinformatic tools we recently developed (the EZbakR suite). We showcase how this resource reveals the previously underappreciated role of RNA stability in shaping gene expression. RNAdecayCafe will provide a robust database for future studies of RNA decay.

bioinformatics↗

bioRxiv2025

Uncovering the isoform-resolution kinetic landscape of nonsense-mediated mRNA decay with EZbakR

Cellular RNA levels are a product of synthesis and degradation kinetics, which can differ among transcripts of the same gene. An important cause of isoform-specific decay is the nonsense-mediated mRNA decay (NMD) pathway, which degrades transcripts with premature termination codons (PTCs) and other features. Understanding NMD functions requires strategies to quantify isoform kinetics; however, current approaches remain limited. Methods like nucleotide-recoding RNA-seq (NR-seq) enable insights into RNA kinetics, but existing bioinformatic tools do not provide robust, isoform-specific degradation rate constant estimates. We extend the EZbakR-suite by implementing a strategy to infer isoform-level kinetics from short-read NR-seq data. This approach uncovers unexpected variability in NMD efficiency among transcripts with conserved PTC-containing exons and rapid decay of a subset of mRNAs lacking PTCs. Our findings highlight the effects of competition between NMD and other decay pathways, provide mechanistic insights into established NMD efficiency correlates, and identify transcript features promoting efficient decay.

molecular biology↗

bioRxiv2024

Rapid folding of nascent RNA regulates eukaryotic RNA biogenesis

An RNAs catalytic, regulatory, or coding potential depends on RNA structure formation. Because base pairing occurs during transcription, early structural states can govern RNA processing events and dictate the formation of functional conformations. These co-transcriptional states remain unknown. Here, we develop CoSTseq, which detects nascent RNA base pairing within and upon exit from RNA polymerases (Pols) transcriptome-wide in living yeast cells. By monitoring each nucleotides base pairing activity during transcription, we identify distinct classes of behaviors. While 47% of rRNA nucleotides remain unpaired, rapid and delayed base pairing - with rates of 48.5 and 13.2 kb-1 of transcribed rDNA, respectively - typically completes when Pol I is only 25 bp downstream. We show that helicases act immediately to remodel structures across the rDNA locus and facilitate ribosome biogenesis. In contrast, nascent pre-mRNAs attain local structures indistinguishable from mature mRNAs, suggesting that refolding behind elongating ribosomes resembles co-transcriptional folding behind Pol II.

biochemistry↗

bioRxiv2023

Improving the study of RNA dynamics through advances in RNA-seq with metabolic labeling and nucleotide-recoding chemistry

RNA metabolic labeling using 4-thiouridine (s4U) captures the dynamics of RNA synthesis and decay. The power of this approach is dependent on appropriate quantification of labeled and unlabeled sequencing reads, which can be compromised by the apparent loss of s4U-labeled reads in a process we refer to as dropout. Here we show that s4U-containing transcripts can be selectively lost when RNA samples are handled under sub-optimal conditions, but that this loss can be minimized using an optimized protocol. We demonstrate a second cause of dropout in nucleotide recoding and RNA sequencing (NR-seq) experiments that is computational and downstream of library preparation. NR-seq experiments involve chemically converting s4U from a uridine analog to a cytidine analog and using the apparent T-to-C mutations to identify the populations of newly synthesized RNA. We show that high levels of T-to-C mutations can prevent read alignment with some computational pipelines, but that this bias can be overcome using improved alignment pipelines. Importantly, kinetic parameter estimates are affected by dropout independent of the NR chemistry employed, and all chemistries are practically indistinguishable in bulk, short-read RNA-seq experiments. Dropout is an avoidable problem that can be identified by including unlabeled controls, and mitigated through improved sample handing and read alignment that together improve the robustness and reproducibility of NR-seq experiments.

biochemistry↗

bioRxiv2022

Differential kinetic analysis using nucleotide recoding RNA-seq and bakR

Conventional RNA sequencing (RNA-seq) provides limited information about the kinetic mechanisms underlying changes in RNA levels. Nucleotide recoding RNA-seq methods (NR-seq; e.g., TimeLapse-seq, SLAM-seq, etc.) are widely used approaches to identify changes in RNA synthesis and degradation kinetics, yet no software exists to rigorously compare the parameters of RNA kinetics between experimental conditions. We developed bakR to address this need. bakR relies on Bayesian hierarchical modeling of NR-seq data to increase statistical power by sharing information across transcripts. Using simulated and real data, we validate bakR and demonstrate how it provides new insights into the kinetics of RNA metabolism.

bioinformatics↗

bioRxiv2021

A Dual-Site Inhibitor of CBP/p300 KIX is a Selective and Effective Modulator of Myb

The protein-protein interaction between the KIX motif of the transcriptional coactivator CBP/p300 and the transcriptional activator Myb is a high value target due to its established role in certain acute myeloid leukemias (AML) and potential contributions to other cancers. However, the CBP/p300 KIX domain has multiple binding sites, several structural homologues, many binding partners, and substantial conformational plasticity, making it challenging to specifically target using small molecule inhibitors. Here, we report a picomolar dual-site inhibitor (MybLL-tide) of the Myb-CBP/p300 KIX interaction. MybLL-tide has higher affinity for CBP/p300 KIX than any previously reported compounds while also possessing 16,000-fold selectivity for the CBP/p300 KIX domain over other coactivator domains. MybLL-tide blocks the association of CBP and p300 with Myb in the context of the proteome leading to inhibition of key Myb*KIX-dependent genes in AML cells. These results show that MybLL-tide is an effective, modifiable tool to selectively target the KIX domain and assess transcriptional effects in AML cells and potentially other cancers featuring aberrant Myb behavior. Additionally, the dual-site design has applicability to the other challenging coactivators that bear multiple binding surfaces

biochemistry↗