Biology subjects

Schärfen, L.

Publications and source records attributed to Schärfen, L..

5 recordsLinked to original sources

bioRxiv2026

TIAR-dependent coordination of alternative splicing and lipid peroxidation is required for CML cell resistance to imatinib in the bone marrow stroma

Chronic myeloid leukemia (CML) is treated with Abl1 tyrosine kinase inhibitors (TKIs). Quiescent cancer cells residing in the bone marrow (BM) can survive the treatment and cause CML relapse. We previously found that a subset of alternative splicing (AS) changes detected in CML cells surviving months of therapy are initiated within hours of treatment onset. Here, we investigated how AS in CML cells is modulated by the human BM microenvironment. By incorporating humanized BM niche models in vivo, we uncovered stroma-induced transcriptome adaptation that influences transcriptional regulation, transmembrane transport, lipid metabolism, the tricarboxylic acid cycle, and respiratory electron transport. We identified RNA-binding protein TIAR (T-cell intracellular antigen-related protein) as a key mediator of CML survival under TKI imatinib treatment. Our data show TIAR-dependent coordination of RNA processing with the metabolic program induced by stromal interaction. Quantitative nascent proteome analysis revealed that TIAR silencing affects the synthesis of metabolic enzymes and proteins involved in imatinib-induced erythroid differentiation. Besides, TIAR knockdown increased lipid peroxidation in untreated cells and decreased reduction potential in cells upon imatinib treatment. Taken together, TIAR deficiency reduces CML survival, possibly by inducing ferroptosis. These findings identify TIAR-dependent RNA processing within the BM niche as a previously unrecognized mechanism of CML therapy resistance and a potential therapeutic vulnerability.

cancer biology↗

bioRxiv2025

Control of gene output by intron RNA structure

During mRNA biogenesis, RNA folding can promote or antagonize transcript processing. The effects of intron structure on mRNA and protein levels remain largely unexplored, although introns account for the bulk of nascent RNA. Here we systematically probe the effect of intron structure using massively parallel reporter assays. We show that base pairing modulates gene expression across orders of magnitude through inhibitory RNA structures at splice sites and at newly identified regions. Conversely, poor splicing of human {beta}-globin pre-mRNA could be improved by sequence alterations that reduce base pairing. For large libraries of RNA structures differing in stability, machine learning models could nearly fully explain observed gene output. Structure destabilizing mutations emerge rapidly under selective pressure. Thus, formation of RNA structures as dictated by intron sequence provides a simple, powerful means to adjust gene expression.

biochemistry↗

bioRxiv2025

Long-read Sequencing of Nascent RNA from Budding and Fission Yeasts

Gene expression requires DNA transcription and simultaneous RNA processing steps that transform the precursor RNA into fully mature RNA. In eukaryotes, the processing of protein-encoding messenger RNAs (mRNAs) includes 5 end capping, editing, splicing, RNA modification, poly-adenylation cleavage, and polyadenylation. Short-read sequencing of total or messenger RNA largely reveals the final output of transcription and processing because it utilizes 1) steady-state, mature RNA that is mostly processed and 2) sequencing reads that are too short to detect adjacent processing events (e.g. two adjacent introns). In contrast, long-read sequencing of nascent RNA allows the detection of rarer, full-length transcripts that are in the process of being transcribed and processed. The 3 end of each nascent RNA establishes the position of RNA polymerase II (Pol II) along the gene at the time of cell lysis, providing a timeline for RNA processing events. In addition, the density of 3 ends along genes or at gene landmarks reflects Pol II density, which is related to changes in transcription elongation rate. In organisms with complex gene architectures, information about splicing across multiple introns within the same transcript can be extracted, as well as the location of transcription start sites (TSSs) and polyA cleavage sites. Here, we describe the isolation of nascent RNA from the yeasts Saccharomyces cerevisiae and Schizosaccharomyces pombe, preparation of a cDNA library for long-read sequencing on Oxford Nanopore Technologies or Pacific Biosciences platforms, and initial data analysis steps. These methods comprise versatile and powerful tools for the investigation of coupled RNA synthesis and processing.

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

Extensible benchmarking of methods that identify and quantify polyadenylation sites from RNA-seq data

The tremendous rate with which data is generated and analysis methods emerge makes it increasingly difficult to keep track of their domain of applicability, assumptions, and limitations and consequently, of the efficacy and precision with which they solve specific tasks. Therefore, there is an increasing need for benchmarks, and for the provision of infrastructure for continuous method evaluation. APAeval is an international community effort, organized by the RNA Society in 2021, to benchmark tools for the identification and quantification of the usage of alternative polyadenylation (APA) sites from short-read, bulk RNA-sequencing (RNA-seq) data. Here, we reviewed 17 tools and benchmarked eight on their ability to perform APA identification and quantification, using a comprehensive set of RNA-seq experiments comprising real, synthetic, and matched 3'-end sequencing data. To support continuous benchmarking, we have incorporated the results into the OpenEBench online platform, which allows for seamless extension of the set of methods, metrics, and challenges. We envisage that our analyses will assist researchers in selecting the appropriate tools for their studies. Furthermore, the containers and reproducible workflows generated in the course of this project can be seamlessly deployed and extended in the future to evaluate new methods or datasets.

bioinformatics↗