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Zarnack, K.

Publications and source records attributed to Zarnack, K..

At least 19 recordsLinked to original sources

Granule microenvironment regulates the dual functions of FMR1

Fragile X Messenger Ribonucleoprotein 1 (FMR1) is an evolutionarily conserved RNA binding protein with important functions in cognition and female reproduction, and its disruption is associated with neurodevelopmental and reproductive disorders including the Fragile X syndrome. FMR1 is best known for its role as a translation repressor. However, several recent studies also suggest a role of FMR1 as a translation enhancer raising fundamental questions about the molecular regulation of these opposing functions. In this study, we identify FMR1 as part of the oskar mRNA-protein complex in the Drosophila oocyte and study the role of FMR1 as a translational enhancer of oskar. We provide the molecular mechanism for the dual functions of FMR1 and show that the two major RNA-binding domains of FMR1, the KH domains and the RGG box, play distinct separable roles in regulating translation. The KH domains enhance translation of mRNAs while the RGG box containing C-terminal domain (CTD) is required to repress translation. We further show that the condensation propensity of FMR1 containing granules regulates the two antagonistic functions, such that phase separation by FMR1-CTD creates the molecular microenvironment necessary for the repressive activity, whereas reduction in phase separation is associated with increased translation. Our findings highlight the importance of biomolecular condensates not just as a means of molecular compartmentalization but as a fundamental regulatory principle that dictates the functional output of modular protein domains.

molecular biology↗

RepliCNN: High-resolution inference of the DNA replication program from strand-specific 3' DNA end sequencing

During S phase, the genome is replicated in a tightly regulated spatiotemporal order described as DNA replication timing (RT). Discontinuous lagging-strand synthesis produces Okazaki fragments whose strand-specific distribution reflects replication dynamics. Here, we present RepliCNN, a deep learning framework based on one-dimensional convolutional neural networks to predict RT from Okazaki fragment distributions obtained from strand-specific 3' DNA end sequencing methods such as GLOE-Seq, TrAEL-seq, or OK-Seq. RepliCNN also automatically annotates replication origins, termination zones, replication fork directionality, and origin efficiency genome-wide from a single dataset. Benchmarking on public and in-house human and yeast datasets using leave-one-chromosome-out cross-validation demonstrates high predictive accuracy in both wild-type and perturbation experiments, enabling comprehensive analyses of replication dynamics from strand-specific DNA 3' end sequencing data. HighlightsO_LIRepliCNN enables integrated analysis of replication timing, fork directionality and replication features from strand-specific 3' DNA end sequencing data. C_LIO_LIHigh-resolution replication dynamics can be inferred from a single experiment, bypassing complex multi-fraction labelling approaches. C_LIO_LIThe framework generalizes across experimental protocols, datasets, and species. C_LIO_LIThis enables cost-effective comparative analysis of replication programs across biological conditions. C_LI

bioinformatics↗

iCLIP3: A streamlined, non-radioactive protocol for mapping protein-RNA interactions in cellular transcripts at single-nucleotide resolution

UV-C crosslinking and immunoprecipitation (CLIP)-based methods are the gold standard for identifying direct RNA binding protein (RBP) interaction sites on cellular RNA in vivo. Here, we describe individual-nucleotide resolution CLIP version 3 (iCLIP3), an optimized protocol for generating transcriptome-wide maps of RBP-RNA interaction sites at single-nucleotide resolution from low-input material. iCLIP3 introduces several key improvements over previous iCLIP variants, including rapid and safe infrared-based visualization of RBP-RNA complexes, silica column-based RNA isolation, and the incorporation of TruSeq adapter sequences with unique dual indexing. These modifications streamline library preparation, facilitate multiplexing, and enable concurrent sequencing of iCLIP3 libraries alongside unrelated RNA-seq libraries. In addition, we provide a detailed bioinformatics workflow for identifying crosslinking events and defining RBP binding sites. The complete protocol can be performed within 4-5 days, offering a robust and efficient approach for high-resolution mapping of RBP-RNA interactions. HighlightsO_LI3' RNA labeling with pCp-IR750 enables rapid infrared visualization of RBP-RNA complexes C_LIO_LISilica column-based RNA isolation improves efficiency and reproducibility C_LIO_LITruSeq adapters with unique dual indexing enable flexible and scalable multiplexing C_LIO_LIiCLIP3 generates high-quality libraries from ultra-low amounts of cellular material C_LI

genomics↗

RNA G-quadruplexes mediate cooperativity in HNRNPH binding and splicing regulation

Alternative splicing, regulated by RNA-binding proteins (RBPs), enables the generation of diverse transcript isoforms critical for cellular function. However, how RNA secondary structure impacts RBP binding and function remains poorly understood. Here, we unravel how RNA G-quadruplexes (rG4s) facilitate cooperativity in splicing regulation by the RBP heterogeneous nuclear ribonucleoprotein H (HNRNPH). Through high-throughput in vivo and in vitro studies combined with theoretical modeling, we dissect how rG4s mediate cooperative HNRNPH binding to RNA, ultimately modulating the splicing of hundreds of exons. rG4 unfolding by HNRNPH exposes multiple G-rich binding sites, thereby establishing indirect cooperativity, which is further amplified to achieve switch-like splicing regulation. HNRNPH-mediated regulation is evident in breast cancer patients, with tumors showing rG4-disrupting variants and global HNRNPH alterations, driving distinct splicing patterns that distinguish tumor subtypes. Overall, our findings offer valuable insights into the mechanistic role of RNA secondary structures in cooperative RBP binding and splicing regulation and highlight the clinical relevance of HNRNPH-dependent splicing in cancer. HighlightsO_LIHundreds of cassette exons are cooperatively regulated by HNRNPH. C_LIO_LIUnfolding of RNA G-quadruplexes (rG4s) at HNRNPH binding sites facilitates indirect cooperativity in RNA binding. C_LIO_LIMulti-step splicing amplifies the response into highly switch-like regulation. C_LIO_LIrG4-disrupting variants and changing HNRNPH expression are associated with breast cancer phenotypes. C_LI

molecular biology↗

TRIM28 regulates pre-mRNA splicing via phosphorylation and SUMOylation networks

Pre-mRNA splicing is a highly regulated process orchestrated by splicing factors, cis-acting elements, and interconnected cellular processes such as transcription and chromatin remodeling. Here, we identify a novel regulatory axis involving phosphorylation and SUMOylation that governs the function of Tripartite motif-containing 28 protein (TRIM28) and its role in pre-mRNA splicing. We demonstrate that TRIM28 interacts with the spliceosomal protein USP39 in a phosphorylation-dependent manner, with non-phosphorylated TRIM28 promoting USP39 SUMOylation at defined lysine residues. This post-translational modification enhances USP39s role within the U4/U6.U5 tri-snRNP complex. Functionally, TRIM28 knockdown induces widespread alterations in alternative splicing patterns, underscoring its importance in splicing regulation. Together, our findings uncover a mechanistic link between TRIM28-mediated post-translational modifications and the modulation of spliceosomal activity, offering new insights into how splicing decisions are integrated with cellular signaling pathways.

cell biology↗

Context-dependent effects of mutations on complex splicing decisions

Alternative pre-mRNA splicing is an essential step in human gene regulation, and mutation-induced aberrant splicing is frequently found in diseases and therapy resistance. Splicing regulation is highly dependent on sequence and cellular context, posing a challenge to predict outcomes of splicing-related disease mutations. Here, we use kinetic modeling to derive the underlying quantitative principles, describing splice site competition and downstream effects on a wide spectrum of splice isoforms. Employing statistical learning on a large-scale mutagenesis dataset for CD19 mRNA splicing, our model quantitatively describes the generation of 93 RNA isoforms. It takes into account various splicing events such as cassette exon skipping, intron retention, and extensive alternative 3 and 5 splice site usage, which are implicated in CART therapy resistance in leukemia. Beyond CD19, by analyzing genome-wide RNA sequencing data and large-scale screening of synthetic splicing decisions, we find that splice site distance is an important parameter controlling the switch from canonical to alternative/cryptic splice site usage, as mutations located in between two nearby splice sites show a pronounced directionality, regulating up- and downstream effectors in opposite direction. Taken together, our work demonstrates that a quantitative description of splice site competition provides insights into context-dependent, complex isoform changes and cryptic splice site activation in health and disease.

systems biology↗

Dissecting the RNA binding capacity of the multi-RRM protein Rrm4 essential for endosomal mRNA transport

RNA-binding proteins (RBPs) utilize multiple RNA-binding domains (RBDs) to engage with extensive mRNA networks. Understanding the intricate interplay of modular RBDs is essential for uncovering RBP function. Yet, how individual RBDs shape transcriptome-wide interactions remains poorly understood. Here, we dissect the roles of the three RNA recognition motifs (RRMs) in the endosomal mRNA transporter Rrm4 during polar growth of Ustilago maydis. Using a comparative mutant-based iCLIP2 approach, we disclose an extensive inventory of RRM-specific binding sites. Most binding sites are prominently governed by RRM3, however, they are not critical for function. Conversely, functionally essential binding sites are recognized by a more complex RBD interplay, involving RRM1 and/or RRM2 with partial support from RRM3. By integrating transcriptome-wide RNA binding data with transcriptomics, we pinpoint their function as regulatory RNA elements affecting mRNA abundance, linking endosomal transport to stability. The modular RNA binding of Rrm4 defines distinct RNA regulons controlling mitochondrial activity, polarity factors, and cell wall remodeling - processes critical for polar growth. These findings disclose the intricate binding modes of an RBP in vivo, emphasizing how multiple RBDs differentiate functional binding sites from accessory ones to determine mRNA fate. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=149 SRC="FIGDIR/small/636894v1_ufig1.gif" ALT="Figure 1"> View larger version (46K): org.highwire.dtl.DTLVardef@1af77b6org.highwire.dtl.DTLVardef@dc7178org.highwire.dtl.DTLVardef@9d7ebforg.highwire.dtl.DTLVardef@1ec5a05_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOFigure 1.C_FLOATNO C_FIG

molecular biology↗

Regulation of early-stage tomato fruit growth by the splicing factor RS2Z36

Fruit growth is mediated by cell division and expansion. In tomato, the model for fleshy fruit development, both processes are tightly linked to changes in gene expression, including transcriptional regulation and RNA processing. While several transcription factors are implicated in fruit developmental programs, the role of splicing regulators remains largely unexplored. Expression profiling of splicing-related genes revealed expression patterns. The serine/arginine-rich splicing factor RS2Z36 is expressed in ovaries and during early fruit development. Loss-of-function mutations in RS2Z36 result in ovaries with altered patterning and in smaller, ellipsoid fruits. rs2z36 mutants display elongated pericarp cells along the longitudinal axis of pre-anthesis ovaries, indicating that RS2Z36-dependent expansion patterns are established before anthesis. RNA-seq uncovered widespread alternative splicing of genes across diverse biological processes, while proteome analysis revealed altered protein abundance and peptides derived from novel splice variants. In addition, rs2z36-1 pericarps show increased deposition of LM6-recognized arabinan and AGP epitopes. Together, these findings identify RS2Z36 as a regulator of ovary and fruit development and highlight a previously underappreciated role for splicing control in shaping early fruit morphology.

developmental biology↗

Coordinated alternative splicing decisions via stepwise exon definition

Alternative splicing of pre-mRNA is a fundamental step in human gene regulation and aberrant slic-ing is tightly linked to diseases including cancer. Various splicing events, such as alternative exon (AE) choice and intron retention (IR), are controlled by a common molecular machinery, the spliceo-some. However, it remains elusive how the regulation of spliceosome activity coordinately affects these splicing decisions. Here, we analyze a large-scale mutagenesis screen and genome-wide RNA sequencing data to show that IR and AE choice are tightly coupled, as IR products primarily accu-mulate in alternative exons showing intermediate inclusion levels. Using data-driven mathematical modeling, we reveal that multistep exon recognition by the spliceosome explains the observed AE-IR dependency for cis-acting sequence mutations and upon knockdown of trans-acting RNA-binding proteins. Furthermore, we show that multistep exon definition is frequently perturbed in cancer cells, which leads to the coordinated deregulation of intron retention and AE choice. In conclusion, we showed that the spliceosome coordinates complex splicing decisions via stepwise exon definition, which potentially facilitates the search for common molecular mechanisms for mis-splicing in cancer.

systems biology↗

Microbial iCLIP2: Enhanced mapping of RNA-Protein interaction by promoting protein and RNA stability

The entire RNA lifecycle, spanning from transcription to decay, is intricately regulated by RNA-binding proteins (RBPs). To understand their precise functions, it is crucial to identify direct targets, pinpoint their exact binding sites, and unravel the underlying specificity in vivo. Individual-nucleotide resolution UV crosslinking and immunoprecipitation 2 (iCLIP2) is a state-of-the-art technique that enables the identification of RBP binding sites at single-nucleotide resolution. However, in the field of microbiology, optimized iCLIP protocols compared to mammalian systems are lacking. Here, we present the first microbial iCLIP2 approach using the multi-RRM domain protein Rrm4 from the fungus Ustilago maydis as an example. Key challenges such as inherently high RNase and protease activity in fungi were addressed by improving mechanical cell disruption and lysis buffer composition. Our modifications increased the yield of crosslink events and improved the identification of Rrm4 binding sites. Thus, we were able to pinpoint that Rrm4 binds the stop codons of nuclear-encoded mRNAs of mitochondrial respiratory complex I, III and V - revealing an intimate link between endosomal mRNA transport and mitochondrial physiology. Thus, our study serves as a paradigm for optimizing iCLIP2 procedures in challenging organisms or tissues under high RNase/ protease conditions.

molecular biology↗

An atlas of RNA-dependent proteins in cell division reveals the riboregulation of mitotic protein-protein interactions

Ribonucleoprotein complexes are dynamic assemblies of RNA with RNA-binding proteins (RBPs), which can modulate the fate of the RNA molecules from transcription to degradation. Vice versa, RNA can regulate the interactions and functions of the associated proteins. Dysregulation of RBPs is linked to diseases such as cancer and neurological disorders. RNA and RBPs are present in mitotic structures like the centrosomes and spindle microtubules, but their influence on mitotic spindle integrity remains unknown. Thus, we applied the R-DeeP strategy for the proteome-wide identification of RNA-dependent proteins and complexes to cells synchronized in mitosis versus interphase. The resulting atlas of RNA-dependent proteins in cell division can be accessed through the R-DeeP 3.0 database (R-DeeP3.dkfz.de). It revealed key mitotic factors as RNA-dependent such as AURKA, KIFC1 and TPX2 that were linked to RNA despite their lack of canonical RNA-binding domains. KIFC1 was identified as a new interaction partner and phosphorylation substrate of AURKA at S349 and T359. In addition, KIFC1 interacted with both, AURKA and TPX2, in an RNA-dependent manner. Our data suggest a riboregulation of mitotic protein-protein interactions during spindle assembly, offering new perspectives on the control of cell division processes by RNA-protein complexes. HighlightsO_LIDifferential R-DeeP screens in mitosis and interphase are provided as a resource in a user-friendly database at R-DeeP3.dkfz.de C_LIO_LIAn atlas of RNA-dependent proteins in cell division identifies a substantial number of unconventional RNA-binding proteins among mitotic factors C_LIO_LIInvestigation of protein-protein interactions reveals KIFC1 as a new AURKA and TPX2 interaction partner during spindle assembly C_LIO_LIKIFC1, AURKA and TPX2 interact with each other in an RNA-dependent manner and directly bind to RNA C_LIO_LIAURKA phosphorylates KIFC1 at residues S349 and T359 C_LI

cell biology↗

Rapid depletion and super-resolution microscopy reveal an unexpected role of the nuclear-speckle protein SRSF5 in paraspeckle assembly and dynamics during cellular stress

Nuclear speckles (NS) and paraspeckles (PS) are adjacent condensates with distinct protein composition, with serine-arginine-rich splicing factors (SRSFs) concentrated in NS. Surprisingly, we find that SRSF5 is present in both. Combining super-resolution imaging, proximity proteomics and iCLIP, we show that SRSF5 binds with PS core proteins to the PS-scaffold RNA NEAT1 and locates between PS spheres. Acute SRSF5 depletion results in reduced PS with differently packaged NEAT1. Under stress, SRSF5s association with PS increases, and without SRSF5, PS cluster assembly is impaired. Interfering with binding to purine-rich RNAs even causes PS-NS fusion. In an intriguing over-compensation, longer SRSF5 depletion reduces TDP-43 levels via premature polyadenylation, leading to NEAT1 isoform switching and more PS. We propose that SRSF5 forms a stress-specific PS shell and acts as a glue for PS clusters. Additionally, we uncover SRSF5 as a novel regulator of TDP-43 and demonstrate how acute depletion distinguishes direct from compensatory effects. HighlightsO_LINS protein SRSF5 associates with PS shells and enriches between PS spheres C_LIO_LISRSF5 binds the PS-scaffold RNA NEAT1 and ensures proper NEAT1 packaging C_LIO_LISRSF5 association with PS increases under stress and promotes cluster formation C_LIO_LIInterfering with binding to purine-rich RNAs causes the fusion of PS and NS C_LIO_LIAcute SRSF5 depletion reveals compensatory effects on PS assembly and dynamics C_LIO_LISRSF5 regulates TDP-43 levels via premature polyadenylation C_LI

cell biology↗

How to choose the optimal RNA-Seq library characteristics for alternative splicing analysis

Alternative splicing (AS) is a key layer of regulation in eukaryotic gene expression that is investigated in all areas of life sciences. Differences in AS between conditions can be quantified from transcriptome-wide short-read RNA sequencing (RNA-Seq) data with designated computational tools. However, not all short-read RNA-Seq data are equally suited for AS analysis. Here, we perform an exemplary AS analysis to showcase the impact of the RNA-Seq library characteristics on the obtained results. Using three standard ENCODE datasets with widespread AS changes, we modulate read length, read depth and the number of replicates and compare their influence on the detection, quantification and classification of AS events with the state-of-the-art AS algorithm MAJIQ. We find that longer reads and a higher read depth are the most effective measures to improve the sensitivity and precision of the analysis. From our results, we provide a recommendation on how to best choose the short-read RNA-Seq library specifications for an AS analysis.

genomics↗

A plant-specific clade of serine/arginine-rich proteins regulates RNA splicing homeostasis and thermotolerance in tomato

High temperatures cause heat stress (HS), which has negative effects on plant growth and development and affects many cellular processes including pre-mRNA splicing. In tomato plants the splicing profile of many of genes is altered under HS, including that of HSFA2, a central transcriptional regulator of thermotolerance. To identify the core splicing regulators of HS-sensitive alternative splicing, we used HSFA2 as bait and identified two plant-specific members of the serine/arginine-rich family of splicing factors, namely RS2Z35 and RS2Z36, that inhibit HSFA2 intron splicing. Single and double CRISPR mutants of these proteins show dysregulated splicing of many genes and exhibit lower basal and acquired thermotolerance. Individual-nucleotide resolution UV cross-linking and immunoprecipitation (iCLIP) of tomato leaves revealed that the majority of HS-sensitive alternatively spliced RNAs are bound by RS2Z35 and RS2Z36 and this interaction occurs at purine-rich RNA motifs. Phenotypic and transcriptome analyses revealed that RS2Z35 and RS2Z36 are important players in the stress response and thermotolerance in plants that mitigate the negative effects of HS on RNA splicing homeostasis.

plant biology↗

Intrinsically disordered RNA-binding motifs cooperate to catalyze RNA folding and drive phase separation

RNA-binding proteins are essential for gene regulation and the spatial organization of cells. Here, we report that the yeast ribosome biogenesis factor Loc1p is an intrinsically disordered RNA-binding protein with eight repeating positively charged, unstructured nucleic acid binding (PUN) motifs. While a single of these previously undefined motifs stabilizes folded RNAs, multiple copies strongly cooperate to catalyze RNA folding. In the presence of RNA, these multivalent PUN motifs drive phase separation. Proteome-wide searches in pro-and eukaryotes for proteins with similar arrays of PUN motifs reveal a strong enrichment in RNA-mediated processes and DNA remodeling. Thus, PUN motifs are potentially involved in a large variety of RNA-and DNA-related processes by concentrating them in membrane-less organelles. The general function and wide distribution of PUN motifs across species suggests that in an ancient "RNA world" PUN-like motifs may have supported the correct folding of early ribozymes.

biochemistry↗

A consensus motif in ASH1 and further transcripts unifies several RNA motifs required for interaction with the She2p/She3p transport machinery and mRNA localization in yeast

Asymmetric localization of the ASH1 transcript is a central step in the regulation of mating type switching in Saccharomyces cerevisae and a paradigm for localized mRNAs specifically recognized by the She2p/3p transport machinery. Four RNA elements in ASH1 are known to mediate bud localization, but it remained unclear what a consensus motif of all four She2p/3p recognition sites (SRS) might look like. In this study, we derive the SRS consensus motif, which is characterized by an L-shaped, double-stranded RNA conformation with two cytosine-containing sequence motifs at conserved positions and a central asymmetric bulge. It is noteworthy that the spatial arrangement of these features can be retained, despite their altered order within the nucleotide sequence. We termed these variations "configurations" and confirmed in biochemical studies that SRS function in ASH1 elements is preserved when changing configurations. We tested other known and predicted SRS elements in target transcripts of She2p/3p by biochemical and biophysical studies and confirmed the conserved SRS function even in switched configuration. Consistently, we present the SRS instance collection, which includes further predictions of SRS instances of transcript targets of the She2p/3p translocation pathway.

cell biology↗

Arid5a uses disordered extensions of its core ARID domain for distinct DNA- and RNA-recognition and gene regulation

AT-rich interacting domain (ARID)-containing proteins, Arids, are a heterogeneous DNA-binding protein family involved in transcription regulation and chromatin processing. For the member Arid5a, no exact DNA-binding preference has been experimentally defined so far. Additionally, the protein binds to mRNA motifs for transcript stabilization, supposedly through the DNA-binding ARID domain. To date, however, no unbiased RNA motif definition and clear dissection of nucleic acid-binding through the ARID domain have been undertaken. Using NMR-centered biochemistry, we here define the Arid5a DNA preference. Further, high-throughput in vitro binding (RBNS) reveals a consensus RNA-binding motif engaged by the core ARID domain. Finally, transcriptome-wide binding (iCLIP2) reveals that Arid5a has a weak preference for (A)U-rich regions in pre-mRNA transcripts of factors related to RNA processing. We find that the intrinsically disordered regions (IDR) flanking the ARID domain modulate the specificity and affinity of DNA-binding, while they appear crucial for RNA interactions. Ultimately, our data suggest that Arid5a uses its extended ARID domain for bi-functional gene regulation and that the involvement of IDR extensions is a more general feature of Arids in interacting with different nucleic acids at the chromatin-mRNA interface.

biochemistry↗

racoon_clip - a complete pipeline for single-nucleotide analyses of iCLIP and eCLIP data

SummaryHere, we introduce racoon_clip, a sustainable and fully automated pipeline for the complete processing of iCLIP and eCLIP data to extract RNA binding signal at single-nucleotide resolution. racoon_clip is easy to install and execute, with multiple pre-settings and fully customizable parameters, and outputs a conclusive summary report with visualizations and statistics for all analysis steps. Availability and Implementationracoon_clip is implemented as a snakemake-powered command line tool (snakemake version [≥] 7.22, Python version [≥] 3.9). The latest release can be downloaded from GitHub (https://github.com/ZarnackGroup/racoon_clip/tree/main) and installed via pip. A detailed documentation, including installation, usage and customization, can be found at https://racoon-clip.readthedocs.io/en/latest/. The example datasets can be downloaded from the Short Read Archive (SRA; iCLIP: SRR5646576, SRR5646577, SRR5646578) or the ENCODE Project (eCLIP: ENCSR202BFN). ContactKathi Zarnack, kathi.zarnack@bmls.de Issue SectionGenome analysis

bioinformatics↗