Biology subjects

Dieterich, C.

Publications and source records attributed to Dieterich, C..

At least 37 records · Page 2Linked to original sources

bioRxiv2022

Large-scale benchmarking of circRNA detection tools reveals large differences in sensitivity but not in precision

The detection of circular RNA molecules (circRNAs) is typically based on short-read RNA sequencing data processed by computational detection tools. During the last decade, a plethora of such tools have been developed, but a systematic comparison with orthogonal validation is missing. Here, we set up a circRNA detection tool benchmarking study, in which 16 tools were used and detected over 315,000 unique circRNAs in three deeply sequenced human cell types. Next, 1,516 predicted circRNAs were empirically validated using three orthogonal methods. Generally, tool-specific precision values are high and similar (median of 98.8%, 96.3%, and 95.5% for qPCR, RNase R, and amplicon sequencing, respectively) whereas the sensitivity and number of predicted circRNAs (ranging from 1,372 to 58,032) are the most significant tool differentiators. Furthermore, we demonstrate the complementarity of tools through the increase in detection sensitivity by considering the union of highly-precise tool combinations while keeping the number of false discoveries low. Finally, based on the benchmarking results, recommendations are put forward for circRNA detection and validation.

genomics↗

bioRxiv2022

Adaptive Sampling as tool for Nanopore direct RNA-sequencing

ONT long-read sequencing provides real-time monitoring and controlling of individual nanopores. Adaptive sampling enriches or depletes specific sequences in Nanopore DNA sequencing, but was not applicable to direct sequencing of RNA so far. Here, we identify essential parameter settings for direct RNA sequencing (DRS). We demonstrate the superior performance of depletion over enrichment and show that adaptive sampling efficiently depletes specific transcripts in transcriptome-wide sequencing applications. Specifically, we applied our adaptive sampling approach to polyA+ RNA samples from human cardiomyocytes and mouse whole heart tissue. Herein, we show more than 2.5-fold depletion of highly abundant mitochondrial-encoded transcripts that in normal sequencing account for up to 40% of sequenced bases in heart tissue samples.

bioinformatics↗

bioRxiv2022

Magnetique: An interactive web application to explore transcriptome signatures of heart failure

Despite a recent increase in the number of RNA-seq datasets investigating heart failure (HF), accessibility and usability remain critical issues for medical researchers. We present Magnetique (https://shiny.dieterichlab.org/app/magnetique), an interactive web application to explore the transcriptional signatures of heart failure. We reanalyzed the Myocardial Applied Genomics Network RNA-seq dataset, one of the largest publicly available datasets of left ventricular RNA-seq samples from patients with dilated (DCM) or hypertrophic (HCM) cardiomyopathy, as well as unmatched non-failing hearts from organ donors and patient characteristics that allowed us to model confounding factors. Focusing on the DCM versus HCM contrast, we identified 201 differentially expressed genes and associated pathway signatures. Moreover, we predict underlying signaling networks based on inferred transcription factor activities. To the best of our knowledge, Magnetique is the first online application to provide an interactive view of the HF transcriptome by analyzing differential transcript isoform usage. Finally, another graphical view on statistically predicted RNA-binding protein to target transcript interactions complements the Magnetique web application. The source code for both the analyses (https://github.com/dieterich-lab/magnetiqueCode2022) and the web application (https://github.com/AnnekathrinSilvia/magnetique) is available to the public. We hope that our application will help users to uncover the molecular basis of heart failure.

bioinformatics↗

bioRxiv2022

PEPseq Quantifies Transcriptome-Wide Changes in Protein Occupancy and Reveals Selective Translational Repression After Translational Stress

Post-transcriptional gene regulation is accomplished by the interplay of the transcriptome with RNA-binding proteins, which occurs in a dynamic manner in response to altered cellular conditions. Recording the combined occupancy of all proteins binding to the transcriptome offers the opportunity to interrogate if a particular treatment leads to any interaction changes, pointing to sites in RNA that undergo post-transcriptional regulation. Here, we establish a method to monitor protein occupancy in a transcriptome-wide fashion by RNA sequencing. To this end, peptide-enhanced pull-down for RNA sequencing (or PEPseq) uses metabolic RNA labelling with 4-thiouridine (4SU) for light-induced protein-RNA crosslinking, and N-hydroxysuccinimide (NHS) chemistry to isolate protein-crosslinked RNA fragments across all long RNA biotypes. We use PEPseq to investigate changes in protein occupancy during the onset of arsenite-induced translational stress in human cells and reveal evidence for ribosome stalling and depletion from stress granules for a distinct set of mRNAs, many coding for ribosomal proteins. We use quantitative proteomics to demonstrate that translation of these mRNAs remains repressed during the initial hours of recovery after arsenite stress. Thus, we present PEPseq as a discovery platform for the unbiased investigation of post-transcriptional regulation.

molecular biology↗

bioRxiv2022

circRAB3IP modulates cell proliferation by reorganizing gene expression and mRNA processing in a paracrine manner

Circular RNAs are endogenous long-lived and abundant non-coding species. Despite their prevalence, only few circRNAs have been dissected mechanistically to date. Here, we catalogued nascent RNA-enriched circRNAs from primary human cells and functionally assign a role to circRAB3IP in sustaining cellular homeostasis. We combined "omics" and functional experiments to show how circRAB3IP depletion deregulates hundreds of genes, suppresses cell cycle progression, and induces senescence-associated gene expression changes. Conversely, excess circRAB3IP delivered to endothelial cells via extracellular vesicles suffices for accelerating their division. We attribute these effects to the interplay between circRAB3IP and the general splicing factor SF3B1, which impacts transcript usage of cell cycle-related genes. Together, our findings link the maintenance of cell homeostasis to the tightly regulated titers of a single circRNA.

genomics↗

bioRxiv2022

MePMe-seq: Antibody-free simultaneous m6A and m5C mapping in mRNA by metabolic propargyl labeling and sequencing

Internal modifications of mRNA have emerged as widespread and versatile regulatory mechanism to control gene expression at the post-transcriptional level. Current insights rely on the ability to make a modified nucleoside amenable to sequencing. Most of the modifications are methylations involving the co-factor S-adenosyl-L-methionine (SAM), however, simultaneous detection of different methylation sites in the same sample has remained elusive. We present metabolic labeling with propargyl-selenohomocysteine (PSH) in combination with click chemistry to detect N6- methyladenosine (m6A) and 5-methylcytidine (m5C) sites in mRNA with single nucleotide precision in the same sequencing run (MePMe-seq). Intracellular formation of the corresponding SAM analogue leads to detectable levels of N6-propargyl-A (prop6A) and 5-propargyl-C (prop5C). MePMe-seq overcomes the problems of antibodies for enrichment and sequence-motifs for evaluation, limiting previous methodologies. The joint evaluation of m6A and m5C sites opens the door to study their interconnectivity and improve our understanding of mechanisms and functions of the RNA methylome.

biochemistry↗

bioRxiv2021

Defective linear and circular RNAs biogenesis in Huntington's disease: CAG repeat expansion hijacks neuronal splicing

Alternative splicing (AS) appears to be altered in Huntingtons disease (HD), but its significance for early, pre-symptomatic disease stages has not been inspected. Here, taking advantage of Htt CAG knock-in mouse in vitro and in vivo models, we demonstrate a strong correlation between Htt CAG repeat length and increased aberrant linear AS, specifically affecting neural progenitors and, in vivo, the striatum prior to overt behavioral phenotypes stages. Remarkably, expanded Htt CAG repeats reflect on a previously neglected, global impairment of back-splicing, leading to decreased circular RNAs production in neural progenitors. Though the mechanisms of this dysregulation remain uncertain, our study unveils network of transcriptionally altered micro-RNAs and RNA-binding proteins (CELF, hnRNPS, PTBP, SRSF) which, in turn, might influence the AS machinery, primarily in neural cells. We suggest that this unbalanced expression of linear and circular RNAs might result in altered neural fitness, contributing to HD striatal vulnerability.

genetics↗

bioRxiv2021

Baltica: integrated splice junction usage analysis

Alternative splicing is a tightly regulated co- and post-transcriptional process contributing to the transcriptome diversity observed in eukaryotes. Several methods for detecting differential junction usage (DJU) from RNA sequencing (RNA-seq) datasets exist. Yet, efforts to integrate the results from DJU methods are lacking. Here, we present Baltica, a framework that provides workflows for quality control, de novo transcriptome assembly with StringTie2, and currently 4 DJU methods: rMATS, JunctionSeq, Majiq, and LeafCutter. Baltica puts the results from different DJU methods into context by integrating the results at the junction level. We present Baltica using 2 datasets, one containing known artificial transcripts (SIRVs) and the second dataset of paired Illumina and Oxford Nanopore Technologies RNA-seq. The data integration allows the user to compare the performance of the tools and reveals that JunctionSeq outperforms the other methods, in terms of F1 score, for both datasets. Finally, we demonstrate for the first time that meta-classifiers trained on scores of multiple methods outperform classifiers trained on scores of a single method, emphasizing the application of our data integration approach for differential splicing identification. Baltica is available at https://github.com/dieterich-lab/Baltica under MIT license.

bioinformatics↗

bioRxiv2021

Deep assessment of human disease-associated ribosomal RNA modifications using Nanopore direct RNA sequencing

The catalytically active component of ribosomes, rRNA, is long studied and heavily modified. However, little is known about functional and pathological consequences of changes in human rRNA modification status. Direct RNA sequencing on the Nanopore platform enables the direct assessment of rRNA modifications. We established a targeted Nanopore direct rRNA sequencing approach and applied it to CRISPR-Cas9 engineered HCT116 cells, lacking specific enzymatic activities required to establish defined rRNA base modifications. We analyzed these sequencing data along with wild type samples and in vitro transcribed reference sequences to specifically detect changes in modification status. We show for the first time that direct RNA-sequencing is feasible on smaller, i.e. Flongle, flow cells. Our targeted approach reduces RNA input requirements, making it accessible to the analysis of limited samples such as patient derived material. The analysis of rRNA modifications during cardiomyocyte differentiation of human induced pluripotent stem cells, and of heart biopsies from cardiomyopathy patients revealed altered modifications of specific sites, among them pseudouridines, 2-O-methylation of riboses and acetylation of cytidines. Targeted direct rRNA-seq analysis with JACUSA2 opens up the possibility to analyze dynamic changes in rRNA modifications in a wide range of biological and clinical samples.

molecular biology↗

bioRxiv2021

Exon junction complex-associated multi-adapter RNPS1 nucleates splicing regulatory complexes to maintain transcriptome surveillance

The exon junction complex (EJC) is an RNA-binding multi-protein complex with critical functions in post-transcriptional gene regulation. It is deposited on the mRNA during splicing and regulates diverse processes including pre-mRNA splicing, mRNA export, mRNA translation, and nonsense-mediated mRNA decay (NMD) via various interacting peripheral proteins. The EJC-binding protein RNPS1 might serve two functions: it suppresses mis-splicing of cryptic splice sites and activates NMD in the cytoplasm. When analyzing the transcriptome-wide effects of EJC and RNPS1 knockdowns in different human cell lines, we find no evidence for RNPS1 being a globally essential NMD factor. However, various aberrant splicing events strongly suggest that the main function of RNPS1 is splicing regulation. Rescue analyses revealed that about half of these RNPS1-dependent splicing events was fully or partially rescued by the expression of the isolated RRM domain of RNPS1, whereas other splicing events are regulated by its C-terminal domain. We identified many splicing-regulatory factors, including SR proteins and U1 snRNP components, that specifically interact with the C-terminus or with the RRM of RNPS1. Thus, RNPS1 emerges as a multifunctional splicing regulator that promotes correct and efficient splicing of different vulnerable splicing events via the formation of diverse splicing-promoting complexes.

molecular biology↗

bioRxiv2021

UPF3A and UPF3B are redundant and modular activators of nonsense-mediated mRNA decay in human cells

The paralogous human proteins UPF3A and UPF3B are involved in recognizing mRNAs targeted by nonsense-mediated mRNA decay (NMD). While UPF3B has been demonstrated to support NMD, contradicting reports describe UPF3A either as an NMD activator or inhibitor. Here, we present a comprehensive functional analysis of UPF3A and UPF3B in human cells using combinatory experimental approaches. Overexpression or knockout of UPF3A as well as knockout of UPF3B did not detectably change global NMD activity. In contrast, the co-depletion of UPF3A and UPF3B resulted in a marked NMD inhibition and a transcriptome-wide upregulation of NMD substrates, demonstrating a functional redundancy between both NMD factors. Although current models assume that UPF3 bridges NMD-activating exon-junction complexes (EJC) to the NMD factor UPF2, UPF3B exhibited only slightly impaired NMD activity in rescue experiments when UPF2 or EJC binding was impaired. Further rescue experiments revealed partially redundant functions of UPF3B domains in supporting NMD, involving both UPF2 and EJC interaction sites and the central region of UPF3. Collectively, UPF3A and UPF3B serve as fault-tolerant NMD activators in human cells.

molecular biology↗

bioRxiv2021

RNA modification mapping with JACUSA2

A whole series of high-throughput antibody-free methods for RNA modification detection from sequencing data emerged lately. We present JACUSA2 as a versatile software solution and comprehensive analysis framework for RNA modification detection assays that are based on either the Illumina or Nanopore platform. Importantly, JACUSA2 can integrate information from multiple experiments (e.g. replicates and different conditions) and different library types (e.g. first- or secondstrand libraries). We demonstrate its utility by example, showing three analysis workflows for m6A detection on published data sets: 1) MazF m6a-sensitive RNA digestion (FTO+ vs FTO-), 2) DART-seq (YTHwt vs YTHmut) and 3) Nanopore profiling (METTL3 +/+ vs -/-). All assays have been conducted in HEK293 cells and complement one another.

bioinformatics↗

bioRxiv2021

microRNA-138 controls hippocampal interneuron function and short-term memory

The proper development and function of neuronal circuits relies on a tightly regulated balance between excitatory and inhibitory (E/I) synaptic transmission, and disrupting this balance can cause neurodevelopmental disorders, e.g. schizophrenia. microRNA-dependent gene regulation in pyramidal neurons is important for excitatory synaptic function and cognition, but its role in inhibitory interneurons is poorly understood. Here, we identify miR-138-5p as a regulator of short-term memory and inhibitory synaptic transmission in the hippocampus. Sponge-mediated miR-138-5p inactivation specifically in parvalbumin (PV)-expressing interneurons impairs spatial recognition memory and enhances GABAergic synaptic input onto pyramidal neurons. Cellular and behavioural phenotypes associated with miR-138-5p inactivation are paralleled by an upregulation of the schizophrenia-associated Erbb4, which we validated as a direct miR-138-5p target gene. Our findings suggest that miR-138-5p is a critical regulator of PV interneuron function, with implications for cognition and schizophrenia. More generally, they provide evidence that microRNAs orchestrate neural circuit development by fine-tuning both excitatory and inhibitory synaptic transmission.

neuroscience↗

bioRxiv2021

Single-cell transcriptomics defines heterogeneity of epicardial cells and fibroblasts within the infarcted heart

In the adult heart, the epicardium becomes activated after injury, contributing to cardiac healing by secretion of paracrine factors. Here we analyzed by single-cell RNA sequencing combined with RNA in situ hybridization and lineage tracing of WT1+ cells the cellular composition, location, and hierarchy of epicardial stromal cells (EpiSC) in comparison to activated myocardial fibroblasts/stromal cells in infarcted mouse hearts. We identified 11 transcriptionally distinct EpiSC populations, that can be classified in three groups each containing a cluster of proliferating cells. Two groups expressed cardiac specification makers and sarcomeric proteins suggestive of cardiomyogenic potential. Transcripts of HIF-1 and HIF-responsive genes were enriched in EpiSC consistent with an epicardial hypoxic niche. Expression of paracrine factors was not limited to WT1+ cells but was a general feature of activated cardiac stromal cells. Our findings provide the cellular framework by which myocardial ischemia may trigger in EpiSC the formation of cardioprotective/regenerative responses.

cell biology↗

bioRxiv2020

Deep and accurate detection of m6A RNA modifications using miCLIP2 and m6Aboost machine learning

N6-methyladenosine (m6A) is the most abundant internal RNA modification in eukaryotic mRNAs and influences many aspects of RNA processing. miCLIP (m6A individual-nucleotide resolution UV crosslinking and immunoprecipitation) is an antibody-based approach to map m6A sites with single-nucleotide resolution. However, due to broad antibody reactivity, reliable identification of m6A sites from miCLIP data remains challenging. Here, we present miCLIP2 in combination with machine learning to significantly improve m6A detection. The optimised miCLIP2 results in high-complexity libraries from less input material. Importantly, we established a robust computational pipeline to tackle the inherent issue of false positives in antibody-based m6A detection. The analyses are calibrated with Mettl3 knockout cells to learn the characteristics of m6A deposition, including m6A sites outside of DRACH motifs. To make our results universally applicable, we trained a machine learning model, m6Aboost, based on the experimental and RNA sequence features. Importantly, m6Aboost allows prediction of genuine m6A sites in miCLIP2 data without filtering for DRACH motifs or the need for Mettl3 depletion. Using m6Aboost, we identify thousands of high-confidence m6A sites in different murine and human cell lines, which provide a rich resource for future analysis. Collectively, our combined experimental and computational methodology greatly improves m6A identification. HighlightsO_LImiCLIP2 produces complex libraries to map m6A RNA modifications C_LIO_LIMettl3 KO miCLIP2 allows to identify Mettl3-dependent RNA modification sites C_LIO_LIMachine learning predicts genuine m6A sites from human and mouse miCLIP2 data without Mettl3 KO C_LIO_LIm6A modifications occur outside of DRACH motifs and associate with alternative splicing C_LI

genomics↗

bioRxiv2020

Muscle specific translational control of Cand2 by mTORC1 regulates adverse cardiac remodeling

The mechanistic target of rapamycin (mTOR) is a key regulator of pathological remodeling in the heart by activating ribosomal biogenesis and mRNA translation. Inhibition of mTOR in cardiomyocytes is protective, however, a detailed role of mTOR in translational regulation of specific mRNA networks in the diseased heart is largely unknown. A cardiomyocyte genome-wide sequencing approach was used to define mTOR-dependent post-transcriptional gene expression control at the level of mRNA translation. This approach identified the muscle-specific protein Cullin-associated NEDD8-dissociated protein 2 (Cand2) as a translationally upregulated gene, dependent on the activity of mTOR. Deletion of Cand2 protects the myocardium against pathological remodeling. Mechanistically, we found that Cand2 links mTOR signaling to pathological cell growth by increasing Grk5 protein expression. Our data suggest that cell-type-specific targeting of mTOR might have therapeutic value for adverse pathological cardiac remodeling.

molecular biology↗

bioRxiv2020

Single cell transcriptome sequencing on the Nanopore platform with ScNapBar

The current ecosystem of single cell RNA-seq platforms is rapidly expanding, but robust solutions for single cell and single molecule full-length RNA sequencing are virtually absent. A high-throughput solution that covers all aspects is necessary to study the complex life of mRNA on the single cell level. The Nanopore platform offers long read sequencing and can be integrated with the popular single cell sequencing method on the 10x Chromium platform. However, the high error-rate of Nanopore reads poses a challenge in downstream processing (e.g. for cell barcode assignment). We propose a solution to this particular problem by using a hybrid sequencing approach on Nanopore and Illumina platforms. Our software ScNapBar enables cell barcode assignment with high accuracy, especially if sequencing saturation is low. ScNapBar uses unique molecular identifier (UMI) or Naive Bayes probabilistic approaches in the barcode assignment, depending on the available Illumina sequencing depth. We have benchmarked the two approaches on simulated and real Nanopore datasets. We further applied ScNapBar to pools of cells with an active or a silenced non-sense mediated RNA decay pathway. Our Nanopore read assignment distinguishes the respective cell populations and reveals characteristic nonsense-mediated mRNA decay events depending on cell status.

bioinformatics↗

bioRxiv2020

Pervasive compartment-specific regulation of gene expression during homeostatic synaptic scaling

Synaptic scaling is a form of homeostatic plasticity which allows neurons to adjust their action potential firing rate in response to chronic alterations in neural activity. Synaptic scaling requires profound changes in gene expression, but the relative contribution of local and cell-wide mechanisms is controversial. Here we performed a comprehensive multi-omics characterization of the somatic and process compartments of primary rat hippocampal neurons during synaptic scaling. Thereby, we uncovered both highly compartment-specific and correlated changes in the neuronal transcriptome and proteome. Whereas downregulation of crucial regulators of neuronal excitability occurred primarily in the somatic compartment, structural components of excitatory postsynapses were mostly downregulated in processes. Motif analysis further suggests an important role for trans-acting post-transcriptional regulators, including RNA-binding proteins and microRNAs, in the local regulation of the corresponding mRNAs. Altogether, our study indicates that compartmentalized gene expression changes are widespread in synaptic scaling and might co-exist with neuron-wide mechanisms to allow synaptic computation and homeostasis.

neuroscience↗