Publications by authors named "Christoph Dieterich"

N-Methyladenosine (m6A) is the predominant internal RNA modification in eukaryotic messenger RNAs (mRNAs) and plays a crucial role in mRNA stability. Here, using human cells, we reveal that m6A sites in the coding sequence (CDS) trigger CDS-m6A decay (CMD), a pathway that is distinct from previously reported m6A-dependent degradation mechanisms. Importantly, CDS m6A sites act considerably faster and more efficiently than those in the 3' untranslated region, which to date have been considered the main effectors.

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We present Sci-ModoM, the first next-generation RNome database offering a holistic view of the epitranscriptomic landscape. Sci-ModoM has a simple yet powerful interface, underpinned by FAIR data principles, a standardized nomenclature, and interoperable formats, fostering the use of common standards within the epitranscriptomics community. Sci-ModoM provides quantitative measurements per site and dataset, enabling users to assess confidence levels based on score, coverage, and stoichiometry.

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The serine-/arginine-rich splicing factor 2 (SRSF2) plays pivotal roles in pre-mRNA processing and gene transcription. Recurrent mutations, particularly a proline-to-histidine substitution at position 95 (P95H), are common in neoplastic diseases. Here, we assess SRSF2's diverse functions in squamous cell carcinoma.

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The nonsense-mediated RNA decay (NMD) pathway is a crucial mechanism of mRNA quality control. Current annotations of NMD substrate RNAs are rarely data-driven, but use generally established rules. We present a data set with four cell lines and combinations for , , and knockdowns or knockout.

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Time-course multi-omics data of a murine model of progressive heart failure (HF) induced by transverse aortic constriction (TAC) provide insights into the molecular mechanisms that are causatively involved in contractile failure and structural cardiac remodelling. We employ Illumina-based transcriptomics, Nanopore sequencing and mass spectrometry-based proteomics on samples from the left ventricle (LV) and right ventricle (RV, RNA only) of the heart at 1, 7, 21 and 56 days following TAC and Sham surgery. Here, we present Transverse Aortic COnstriction Multi-omics Analysis (TACOMA), as an interactive web application that integrates and visualizes transcriptomics and proteomics data collected in a TAC time-course experiment.

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Article Synopsis
  • The human transcriptome is mainly made up of noncoding RNAs (ncRNAs), which are important for various disease processes and can serve as future biomarkers.
  • Researchers are using "multiomic" strategies that combine clinical data with omic technologies, utilizing AI and machine learning to analyze these complex transcripts for potential clinical applications.
  • The article discusses the opportunities and challenges of applying AI/ML in ncRNA research, including methodological issues and ethical considerations, aiming to give a thorough overview of this evolving field and its impact on healthcare.
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  • Circular RNA (circRNA) is important for brain development and disorders, especially in Huntington's disease (HD).
  • Researchers found a specific circRNA from the HD gene, which is most common in the brain and changes with the size of a DNA repeat in people and mice with HD.
  • Although this circRNA doesn’t seem to make proteins in adult mouse brains, it might help regulate protein production and improve some problems caused by HD in brain cells.
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  • Direct RNA sequencing allows for the simultaneous identification of standard RNA bases and their modifications at the molecular level.
  • The development of a new algorithm, mAFiA, enables the accurate detection of specific mA modifications in both synthetic and natural RNA.
  • This new method reveals unique modification patterns in individual RNA molecules that might seem the same when looked at as a whole, and it also offers better accuracy in measuring mA levels in biological samples compared to older techniques.
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  • The APOBEC family includes enzymes that help change RNA and DNA, but scientists discovered that one member, APOBEC2, does not work like the others.
  • When studying muscle cells, they found that APOBEC2 doesn’t change RNA or DNA like expected, but instead helps control gene activity by sticking to specific DNA regions.
  • APOBEC2 seems to work with another protein complex to keep certain genes from being active during muscle cell development, which helps the cells stay on track to become muscle.
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Regulated exocytosis is initiated by increased Ca2+ concentrations in close spatial proximity to secretory granules, which is effectively prevented when the cell is at rest. Here we showed that exocytosis of zymogen granules in acinar cells was driven by Ca2+ directly released from acidic Ca2+ stores including secretory granules through NAADP-activated two-pore channels (TPCs). We identified OCaR1 (encoded by Tmem63a) as an organellar Ca2+ regulator protein integral to the membrane of secretory granules that controlled Ca2+ release via inhibition of TPC1 and TPC2 currents.

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In the past years, circular RNAs (circRNAs) became a major focus of many studies in animals and plants. circRNAs are generated by backsplicing from the same linear transcripts that are canonically spliced to produce, for example, mature mRNAs. They exhibit tissue-specific expression pattern and are potentially involved in many diseases, among them cardiovascular diseases.

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To understand and handle the COVID-19 pandemic, digital tools and infrastructures were built in very short timeframes, resulting in stand-alone and non-interoperable solutions. To shape an interoperable, sustainable, and extensible ecosystem to advance biomedical research and healthcare during the pandemic and beyond, a short-term project called "Collaborative Data Exchange and Usage" (CODEX+) was initiated to integrate and connect multiple COVID-19 projects into a common organizational and technical framework. In this paper, we present the conceptual design, provide an overview of the results, and discuss the impact of such a project for the trade-off between innovation and sustainable infrastructures.

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Internal modifications of mRNA have emerged as widespread and versatile regulatory mechanism to control gene expression at the post-transcriptional level. Most of these modifications are methyl groups, making S-adenosyl-L-methionine (SAM) a central metabolic hub. Here we show that metabolic labeling with a clickable metabolic precursor of SAM, propargyl-selenohomocysteine (PSH), enables detection and identification of various methylation sites.

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Alternative splicing (AS) appears to be altered in Huntington's 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 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, a significant proportion (36%) of the aberrantly spliced isoforms are not-functional and meant to non-sense mediated decay (NMD).

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Queuosine (Q) is a complex tRNA modification found in bacteria and eukaryotes at position 34 of four tRNAs with a GUN anticodon, and it regulates the translational efficiency and fidelity of the respective codons that differ at the Wobble position. In bacteria, the biosynthesis of Q involves two precursors, preQ0 and preQ1, whereas eukaryotes directly obtain Q from bacterial sources. The study of queuosine has been challenging due to the limited availability of high-throughput methods for its detection and analysis.

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Nanopore long-read sequencing enables real-time monitoring and controlling of individual nanopores. This allows us to enrich or deplete specific sequences in DNA sequencing in a process called "adaptive sampling." So far, adaptive sampling (AS) was not applicable to the direct sequencing of RNA.

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Article Synopsis
  • Ribosomal RNAs undergo various post-transcriptional modifications, and their roles in processes like ribosome biogenesis and human diseases are still not fully understood.
  • A new targeted direct rRNA sequencing method, paired with JACUSA2 software, effectively identifies and analyzes differential modification sites, outperforming other existing tools in detecting modifications like methylation and acetylation.
  • This method was successfully applied to CRISPR-Cas9 engineered colon carcinoma cells, demonstrating its ability to detect important rRNA modifications using smaller nanopore flow cells, making it practical for clinical samples with limited RNA.
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  • A study was conducted to compare 16 computational tools for detecting circular RNA (circRNA) using RNA sequencing data, identifying over 315,000 unique circRNAs across three human cell types.
  • The validation of 1,516 predicted circRNAs showed high precision across different methods (around 95-98%), but sensitivity varied significantly (1,372 to 58,032 predicted circRNAs).
  • The research emphasizes the importance of using multiple tools together for better detection sensitivity and provides suggestions for improving future circRNA detection methods.
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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.

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Takotsubo syndrome (TTS) is an acute heart failure syndrome that mimics the symptoms of acute myocardial infarction and is often preceded by emotional and/or physical stress. There is currently no treatment for TTS. Here we show that injection of 2.

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  • Alternative RNA splicing helps decide how proteins work in our bodies, but we don't have enough tools to study how it affects protein interactions.
  • To solve this, scientists created a new method called LINDA that combines different data to understand how splicing changes protein networks and cellular processes.
  • Using LINDA, researchers tested it on specific cell experiments and found it worked better than other methods in discovering how splicing affects biological pathways, and they confirmed some of these findings through experiments.
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Dilated cardiomyopathy is the second most common cause for heart failure with no cure except a high-risk heart transplantation. Approximately 30% of patients harbor heritable mutations which are amenable to CRISPR-based gene therapy. However, challenges related to delivery of the editing complex and off-target concerns hamper the broad applicability of CRISPR agents in the heart.

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To classify sentences in cardiovascular German doctor's letters into eleven section categories, we used pattern-exploiting training, a prompt-based method for text classification in few-shot learning scenarios (20, 50 and 100 instances per class) using language models with various pre-training approaches evaluated on CARDIO:DE, a freely available German clinical routine corpus. Prompting improves results by 5-28% accuracy compared to traditional methods, reducing manual annotation efforts and computational costs in a clinical setting.

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Article Synopsis
  • * In 2022, CODEX was enhanced with new features focused on FAIR principles, which help research networks assess their adherence to standards for open and reproducible science.
  • * An online survey was conducted within NUM to increase transparency and provide guidance to scientists on improving data and software reusability, with the report detailing the outcomes and insights gained from this initiative.
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