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Bartos, P.

Publications and source records attributed to Bartos, P..

2 recordsLinked to original sources

Determinants of transcription initiation efficiency and start site selection by RNA polymerase I

RNA polymerase I (Pol I) synthesizes pre-ribosomal RNA, which is essential for ribosome biogenesis. Increased Pol I activity supports rapid cell growth, a key characteristic of cancer cells. Consequently, drugs targeting Pol I in cancer are being actively investigated. The first step in pre-rRNA synthesis involves the assembly of the Pol I transcription initiation complex on the rRNA gene promoter, yet the quantitative and dynamic parameters of this process remain inadequately defined. We combined biochemical, biophysical, and molecular dynamics simulation analyses to enhance molecular models illustrating how Pol I apparatus isolated Saccharomyces cerevisiae recognizes the promoter and the transcription start site (TSS). Time-resolved binding data shows that CF relies on a two-step mechanism, consisting of the binding and isomerization steps, to recognize its binding site on the promoter. The next step, CF-mediated recruitment of the Pol I- Rrn3 complex to the promoter, was inefficient, leading to the rapid dissociation of Pol I. The selection of the TSS by Pol I is influenced by the distance to CF and the properties of downstream DNA, such as bendability. The dynamics revealed in the Pol I transcription apparatus establish a framework for comparing the functions and mechanisms of Pol I activators and inhibitors.

biochemistry↗

The critical role of isomiRs in accurate differential expression analysis of miRNA-seq data

MicroRNAs (miRNAs) are crucial for the regulation of gene expression and are promising biomarkers and therapeutic targets. miRNA isoforms (isomiRs) differ in their start/end offsets, which can impact the target gene selection and non-canonical function of the miRNA species. In addition, isomiRs frequently differ in their expression patterns from their parent miRNAs, yet their roles and tissue-specific responses are currently understudied, leading to their typical omission in miRNA research. Here, we evaluate the expression differences of isomiRs across conditions and their impact on standard miRNA-seq quantification results. We analyze 28 public miRNA-seq datasets, showing significant expression pattern differences between the isomiRs and their corresponding reference miRNAs, leading to misinterpretation of differential expression signals for both. As a case study, we generate a new dataset assessing isomiR abundance under hypoxia in human endothelial cells between the nuclear and cytosolic compartments. The results suggest that isomiRs are dramatically altered in their nuclear localization in response to hypoxia, indicating a potential non-canonical effect of the species, which would be missed without isomiR-aware analysis. Our results call for a comprehensive re-evaluation of the miRNA-seq analysis practices.

bioinformatics↗