91 results match your criteria: "Klaus Tschira Institute for Integrative Computational Cardiology[Affiliation]"

m6A sites in the coding region trigger translation-dependent mRNA decay.

Mol Cell

December 2024

Theodor Boveri Institute, Biocenter, University of Würzburg, Am Hubland, 97074 Würzburg, Germany; Institute of Molecular Biology (IMB), 55128 Mainz, Germany. Electronic address:

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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SRSF2 safeguards efficient transcription of DNA damage and repair genes.

Cell Rep

November 2024

Division of Mechanisms Regulating Gene Expression, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany. Electronic address:

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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NMDtxDB: data-driven identification and annotation of human NMD target transcripts.

RNA

September 2024

Section of Bioinformatics and Systems Cardiology, Department of Internal Medicine III and Klaus Tschira Institute for Integrative Computational Cardiology, Heidelberg University Hospital, 69120 Heidelberg, Germany

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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Transverse aortic constriction multi-omics analysis uncovers pathophysiological cardiac molecular mechanisms.

Database (Oxford)

July 2024

Section of Bioinformatics and Systems Cardiology, Klaus Tschira Institute for Integrative Computational Cardiology, University Hospital Heidelberg, INF 669, Heidelberg 69120, Germany.

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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Article Synopsis
  • 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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Article Synopsis
  • 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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Protein evolution is constrained by structure and function, creating patterns in residue conservation that are routinely exploited to predict structure and other features. Similar constraints should affect variation across individuals, but it is only with the growth of human population sequencing that this has been tested at scale. Now, human population constraint has established applications in pathogenicity prediction, but it has not yet been explored for structural inference.

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Targeted Sequencing of Circular RNAs for Illumina-Based Counting and Nanopore Structure Determination.

Methods Mol Biol

February 2024

Klaus Tschira Institute for Integrative Computational Cardiology, University Heidelberg, Heidelberg, Germany.

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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MePMe-seq: antibody-free simultaneous mA and mC mapping in mRNA by metabolic propargyl labeling and sequencing.

Nat Commun

November 2023

Institute of Biochemistry, Faculty of Chemistry and Pharmacy, University of Münster, Corrensstraße 36, 48149, Münster, Germany.

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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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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Adaptive sampling for nanopore direct RNA-sequencing.

RNA

December 2023

Klaus Tschira Institute for Integrative Computational Cardiology, University Hospital Heidelberg, 69120 Heidelberg, Germany

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
  • 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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Characterizing alternative splicing effects on protein interaction networks with LINDA.

Bioinformatics

June 2023

Section of Bioinformatics and Systems Cardiology, Klaus Tschira Institute for Integrative Computational Cardiology, University Hospital Heidelberg, Heidelberg 69120, Germany.

Article Synopsis
  • 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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Striated muscle-specific base editing enables correction of mutations causing dilated cardiomyopathy.

Nat Commun

June 2023

European Molecular Biology Laboratory (EMBL), Genome Biology Unit, Heidelberg, Germany.

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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We present CARDIO:DE, the first freely available and distributable large German clinical corpus from the cardiovascular domain. CARDIO:DE encompasses 500 clinical routine German doctor's letters from Heidelberg University Hospital, which were manually annotated. Our prospective study design complies well with current data protection regulations and allows us to keep the original structure of clinical documents consistent.

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Mapping of RNA Modifications by Direct Nanopore Sequencing and JACUSA2.

Methods Mol Biol

February 2023

Klaus Tschira Institute for Integrative Computational Cardiology, University Heidelberg, Heidelberg, Germany.

RNA modifications exist in all kingdom of life. Several different types of base or ribose modifications are now summarized under the term "epitranscriptome." With the advent of high-throughput sequencing technologies, much progress has been made in understanding RNA modification biology and how these modifications can influence many aspects of RNA life.

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Background: 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 address the need for an intuitive and interactive web application to explore the transcriptional signatures of heart failure with this work.

Methods: We reanalysed 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 (NFD) from organ donors and patient characteristics that allowed us to model confounding factors.

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We introduce Single-cell Nanopore Spatial Transcriptomics (scNaST), a software suite to facilitate the analysis of spatial gene expression from second- and third-generation sequencing, allowing to generate a full-length near-single-cell transcriptional landscape of the tissue microenvironment. Taking advantage of the Visium Spatial platform, we adapted a strategy recently developed to assign barcodes to long-read single-cell sequencing data for spatial capture technology. Here, we demonstrate our workflow using four short axis sections of the mouse heart following myocardial infarction.

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Targeted Analysis of circRNA Expression in Patient Samples by Lexo-circSeq.

Front Mol Biosci

June 2022

Department of Internal Medicine III, Klaus Tschira Institute for Integrative Computational Cardiology, University Hospital Heidelberg, Heidelberg, Germany.

Recently, circular RNAs (circRNAs) have been extensively studied in animals and plants. circRNAs are generated by backsplicing from the same linear transcripts that are canonically spliced to produce, for example, mature mRNAs. circRNAs exhibit tissue-specific expression and are potentially involved in many diseases, among them cardiovascular diseases.

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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 and nonsense-mediated mRNA decay (NMD) via various interacting proteins. The peripheral EJC-binding protein RNPS1 was reported to serve two insufficiently characterized functions: suppressing mis-splicing of cryptic splice sites and activating NMD in the cytoplasm.

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