Biology subjects

Popitsch, N.

Publications and source records attributed to Popitsch, N..

12 recordsLinked to original sources

bioRxiv2026

Kinetic logic of uridylation-mediated RNA decay

3'-terminal uridylation marks structured non-coding RNAs for cytoplasmic decay, yet how uridylation is quantitatively coupled to exonucleolytic degradation remains unclear. Here, we dissect the kinetic logic of uridylation-mediated RNA surveillance in Drosophila melanogaster. Using biochemical reconstitution together with high-throughput enzymology and quantitative modeling, we show that the terminal uridylyl transferase Tailor generates discrete oligo(U) intermediates through product-dependent kinetic tuning, while co-substrate promiscuity suppresses sustained processivity under physiological nucleotide conditions. Massively parallel binding and decay assays further reveal how the 3'-to-5' exoribonuclease Dis3l2 selectively degrades Tailor-primed RNAs by integrating 3'-proximal uridine content and defined 3'-end accessibility--features encoded by short, kinetically tuned oligo(U) intermediates centered on four nucleotides--to enable productive threading of RNA substrates along an extended RNA-binding path to the catalytic site. Together, our findings establish a quantitative framework in which uridylation encodes decay competence through transient RNA 3'-end states that are matched to the mechanistic requirements for decay. HighlightsO_LIThe TUTase Tailor kinetically tunes uridylation to generate short, discrete oligo(U) intermediates C_LIO_LIMixed nucleotide availability suppresses sustained processive uridylation C_LIO_LIDis3l2 decodes 3'-proximal uridine content and end accessibility to commit RNAs to decay C_LIO_LIShort oligo(U) tails encode RNA decay competence through transient RNA 3'-end states C_LI

biochemistry↗

bioRxiv2025

Separable roles for Microprocessor and its cofactors ERH and SAFB1/2 during microRNA cluster assistance

While most conserved microRNA (miRNA) transcripts harbor a suite of features that mediate their efficient biogenesis into small RNAs, some loci bear suboptimal attributes that enable additional layers of processing regulation. A notable example is cluster assistance, whereby a miRNA hairpin with suboptimal nuclear biogenesis can be enhanced by an optimal neighbor. This process involves local transfer of the Microprocessor complex, composed of the RNase III enzyme Drosha and its partner DGCR8, in concert with cofactors such as ERH and SAFB1/2. However, the mechanism(s) that underlie miRNA cluster assistance remain largely unclear. Here, we gain insights into this process by integrating mutant cells of Microprocessor and its cofactors with analysis of miRNA structure-function variants, biochemical tests and genomewide profiling. We define features of suboptimal miRNAs that render them dependent on cluster assistance, and distinguish amongst a network of proposed interactions amongst Microprocessor and its cofactors, to reveal a subset that are critical for cluster assistance. Most importantly, we use epistatic tests to separate and order the functional requirements for ERH and SAFB1/2 into a pathway. Our data indicate that ERH may engage in the process of Microprocessor transfer between hairpins, while SAFB factors (especially SAFB2) mediate recognition and stable binding of a suboptimal miRNA hairpin after Microprocessor transfer. Finally, we show how cluster assistance integrates into a feedback regulatory loop on Microprocessor, via Drosha-mediated cleavage of a suboptimal miRNA hairpin in the DGCR8 transcript. Altogether, our findings reveal complex regulatory transactions during biogenesis of clustered miRNAs.

molecular biology↗

bioRxiv2025

Hierarchical assembly and functional resilience of the mammalian RNA exosome

Most eukaryotic proteins assemble into multisubunit complexes that coordinate essential cellular functions, yet the principles governing their assembly and proteostatic control remain largely undefined. Here, we systematically dissect the cellular assembly and functional organization of the RNA exosome, an essential ribonucleolytic complex, using an inducible dual-guide CRISPR/Cas9 system in mouse embryonic stem cells. We reveal a sequential assembly pathway where Exosc2, Exosc4, and Exosc7 initiate complex formation, facilitating the incorporation of barrel and cap subunits in a defined hierarchy. Unlike other structural subunits, the terminally incorporated cap subunit Exosc1 is dispensable for cell viability, revealing a modular, functionally resilient architecture. We demonstrate that orphan subunits are selectively degraded via the ubiquitin-proteasome system, enforcing stringent quality control over RNA exosome biogenesis. These findings establish a framework for decoding the assembly logic of essential macromolecular machines and uncover previously unrecognized plasticity in the composition and function of the RNA exosome.

molecular biology↗

bioRxiv2024

ERH regulates type II interferon immune signaling through post-transcriptional regulation of JAK2 mRNA

Type II interferon (IFN{gamma}) signaling is essential for innate immunity and critical for effective immunological checkpoint blockade in cancer immunotherapy. Genetic screen identification of post-transcriptional regulators of this pathway has been challenging since such factors are often essential for cell viability. Here, we utilize our inducible CRISPR/Cas9 approach to screen for key post-transcriptional regulators of IFN{gamma} signaling, and in this way identify ERH and the ERH-associated splicing and RNA export factors MAGOH, SRSF1, and ALYREF. Loss of these factors impairs post-transcriptional mRNA maturation of JAK2, a crucial kinase for IFN{gamma} signaling, resulting in abrogated JAK2 protein levels and diminished IFN{gamma} signaling. Further analysis highlights a critical role for ERH in preventing intron retention in AU-rich regions in specific transcripts, such as JAK2. This regulation is markedly different from previously described retention of GC-rich introns. Overall, these findings reveal that post-transcriptional JAK2 processing is a critical rate-limiting step for the IFN{gamma}-driven innate immune response.

cell biology↗

bioRxiv2023

Mime-seq 2.0: a method to sequence microRNAs from specific mouse cell types

Many microRNAs (miRNAs) are expressed with high spatiotemporal specificity during organismal development, with some being limited to rare cell types, often embedded in complex tissues. Yet most miRNA profiling efforts remain at the tissue and organ levels. To overcome challenges in accessing the microRNomes from tissue-embedded cells, we had previously developed mime-seq (miRNome by methylation dependent sequencing), a technique in which cell-specific miRNA methylation in C. elegans and Drosophila enabled chemo-selective sequencing without the need for cell sorting or biochemical purification. Here, we present mime-seq 2.0 for profiling miRNAs from specific mouse cell types. We engineered a chimeric RNA methyltransferase that is tethered to Argonaute and efficiently methylates miRNAs at their 3-terminal 2OH in mouse and human cell lines. We also generated a transgenic mouse for conditional expression of this methyltransferase, which can be used to direct methylation of miRNAs in a cell-type of choice. We validated the use of this mouse by profiling miRNAs from B cells and bone marrow plasma cells.

molecular biology↗

bioRxiv2020

Nanopanel2 calls phased low-frequency variants in Nanopore panel sequencing data

Clinical decision making is increasingly guided by accurate and recurrent determination of presence and frequency of (somatic) variants and their haplotype through panel sequencing of disease-relevant genomic regions. Haplotype calling (phasing), however, is difficult and error prone unless variants are located on the same read which limits the ability of short-read sequencing to detect, e.g., co-occurrence of drug-resistance variants. Long-read panel sequencing enables direct phasing of amplicon variants besides having multiple other benefits, however, high error rates of current technologies prevented their applicability in the past. We have developed nanopanel2 (np2), a variant caller for Nanopore panel sequencing data. Np2 works directly on base-called FAST5 files and uses allele probability distributions and several other filters to robustly separate true from false positive calls. It effectively calls SNVs and INDELs with variant allele frequencies (VAF) as low as 1% and 5% respectively and produces only few low-frequency false-positive calls. Haplotype compositions are then determined by direct phasing. Np2 is the first somatic variant caller for Nanopore data, enabling accurate, fast (turnaround <48h) and cheap (sequencing costs ~10$/sample) diagnostic workflows.

bioinformatics↗

bioRxiv2020

GREEN-DB: a framework for the annotation and prioritization of non-coding regulatory variants in whole-genome sequencing

Non-coding variants have emerged as important contributors to the pathogenesis of human diseases, not only as common susceptibility alleles but also as rare high-impact variants. Despite recent advances in the study of regulatory elements and the availability of specialized data collections, the systematic annotation of non-coding variants from genome sequencing remains challenging. Here, we propose a new framework for the prioritization of non-coding regulatory variants that integrates information about regulatory regions with prediction scores and HPO-based prioritization. Firstly, we created a comprehensive collection of annotations for regulatory regions including a curated database of 2.4 million regulatory elements (GREEN-DB) annotated with controlled gene(s), tissue(s) and associated phenotype(s) where available. Secondly, we calculated a variation constraint metric and showed that constrained regulatory regions associate with disease-associated genes and essential genes from mouse knock-out screens. Thirdly, we compared 19 non-coding impact prediction scores providing suggestions for variant prioritization. Finally, we developed a VCF annotation tool (GREEN-VARAN) that can integrate all these elements to annotate variants for their potential regulatory impact. In our evaluation, we show that GREEN-DB can capture previously published disease-associated non-coding variants as well as identify additional candidate disease genes in WGS trio analyses.

bioinformatics↗

bioRxiv2019

A novel inhibitor of complement C5 provides structural insights into activation

The complement system is a crucial part of innate immune defences against invading pathogens. The blood-meal of the tick Rhipicephalus pulchellus lasts for days, and the tick must therefore rely on inhibitors to counter complement activation. We have identified a novel class of inhibitors from tick saliva, the CirpT family, and generated detailed structural data revealing their mechanism of action. We show direct binding of a CirpT to complement C5 and have determined the structure of the C5-CirpT complex by cryo-electron microscopy. This reveals an interaction with the peripheral macro globulin domain 4 (C5_MG4) of C5. To achieve higher resolution detail, the structure of the C5_MG4-CirpT complex was solved by X-ray crystallography (at 2.7 [A]). We thus present the novel fold of the CirpT protein family, and provide detailed mechanistic insights into its inhibitory function. Analysis of the binding interface reveals a novel mechanism of C5 inhibition, and provides information to expand our biological understanding of the activation of C5, and thus the terminal complement pathway.

immunology↗

bioRxiv2019

Differential genomic and transcriptomic events associated with high-grade transformation of Chronic Lymphocytic Leukemia

The transformation of chronic lymphocytic leukemia (CLL) to high-grade diffuse large B-cell lymphoma (DLBCL), also called Richters Syndrome (RS), is a rare cancer with dismal prognosis. Drug discovery for RS is hampered by the lack of suitable experimental models, and effective therapies remain elusive rendering RS an area of high unmet clinical need. We performed whole genome sequencing (WGS) to interrogate paired CLL and RS samples from 17 patients enrolled in a prospective multicenter Phase 2 clinical trial (CHOP-OR) and we found that subclones affected by mutations in MAPK and PI3K pathways show a high expansion probability during transformation. We also demonstrate for the first time that non-coding mutation clusters in a PAX5 enhancer, situated 330kb upstream from the transcription initiation site, correlate with transformation. Finally, we confirm our findings by employing targeted DNA sequencing (TGS) and RNA expression profiling on an extended cohort of 38 patients.\n\nStatement of significanceThrough integrated analysis of WGS, TGS and RNA expression data, we identified drivers of transformation not previously implicated in RS, which can be targeted therapeutically and tested in the clinic. Our results have informed the design of a new clinical platform study, which is now open to recruitment in the UK.

genomics↗

bioRxiv2018

Deep SNP: An End-to-end Deep Neural Network with Attention-based Localization for Break-point Detection in SNP Array Genomic data

Diagnosis and risk stratification of cancer and many other diseases require the detection of genomic breakpoints as a prerequisite of calling copy number alterations (CNA). This, however, is still challenging and requires time-consuming manual curation. As deep-learning methods outperformed classical state-of-the-art algorithms in various domains and have also been successfully applied to life science problems including medicine and biology, we here propose Deep SNP, a novel Deep Neural Network to learn from genomic data. Specifically, we used a manually curated dataset from 12 genomic single nucleotide polymorphism array (SNPa) profiles as truth-set and aimed at predicting the presence or absence of genomic breakpoints, an indicator of structural chromosomal variations, in windows of 40,000 probes. We compare our results with well-known neural network models as well as Rawcopy though this tool is designed to predict breakpoints and in addition genomic segments with high sensitivity. We show, that Deep SNP is capable of successfully predicting the presence or absence of a breakpoint in large genomic windows and outperforms state-of-the-art neural network models. Qualitative examples suggest that integration of a localization unit may enable breakpoint detection and prediction of genomic segments, even if the breakpoint coordinates were not provided for network training. These results warrant further evaluation of DeepSNP for breakpoint localization and subsequent calling of genomic segments.

genomics↗

bioRxiv2018

VARAN-GIE: Curation of Genomic Interval Sets

Genomic interval sets are fundamental elements of genome annotation and are the output of countless bioinformatics applications. Nevertheless, tool support for the manual curation of these data is currently limited. We developed VARAN-GIE, an extension of the popular Integrative Genomics Viewer (IGV) that adds functionality to edit, annotate and merge genomic interval sets. Data can easily be shared with other users and imported/exported from/to multiple common data formats. VARAN-GIE binary releases, source-code, user guides and tutorials are available at https://github.com/popitsch/varan-gie/

bioinformatics↗

bioRxiv2017

A-to-I RNA editing uncovers hidden signals of adaptive genome evolution in animals

In animals, the most common type of RNA editing is the deamination of adenosines (A) into inosines (I). Because inosines base-pair with cytosines (C), they are interpreted as guanosines (G) by the cellular machinery and genomically encoded G alleles at edited sites mimic the function of edited RNAs. The contribution of this hardwiring effect on genome evolution remains obscure. We looked for population genomics signatures of adaptive evolution associated with A-to-I RNA edited sites in humans and Drosophila melanogaster. We found that single nucleotide polymorphisms at edited sites occur 3 (humans) to 15 times (Drosophila) more often than at unedited sites, the nucleotide G is virtually the unique alternative allele at edited sites and G alleles segregate at higher frequency at edited sites than at unedited sites. Our study reveals that coding synonymous and nonsynonymous as well as silent and intergenic A-to-I RNA editing sites are likely adaptive in the distantly related human and Drosophila lineages.

evolutionary biology↗