Christoph Dieterich

Baltica integrates results from multiple differential junction usage methods to improve splicing analysis, showing JunctionSeq performs best and meta-classifiers outperform single-method classifiers.

The paper develops a targeted Nanopore direct rRNA sequencing approach to assess disease-associated rRNA modifications in human cells and tissues.

This study identifies compartment-specific gene expression changes during synaptic scaling in rat hippocampal neurons, revealing distinct regulatory mechanisms in somatic and process compartments.

The paper reveals that SMG5-SMG7 and SMG6 work in a coordinated, hierarchical manner in NMD, with SMG5-SMG7 enabling SMG6 activity through UPF1 phosphorylation and heterodimer formation.

The paper improves m6A RNA modification detection using miCLIP2 and m6Aboost, identifying thousands of high-confidence sites in human and mouse cells without requiring Mettl3 depletion.

ScNapBar enables accurate cell barcode assignment for Nanopore single cell RNA sequencing by combining UMI and Naive Bayes approaches, distinguishing cell populations with active or silenced nonsense-mediated decay.

The paper identifies brain-region specific splicing patterns at single-cell and spatial resolution in postnatal mice, revealing cell-type specific and region-specific isoform expression.

The paper identifies Cand2 as an mTORC1-regulated gene that promotes adverse cardiac remodeling when overexpressed, and shows its deletion protects the myocardium.

The paper compares transcriptome and translatome networks in cardiac remodeling to identify differences in gene regulation and functional modules.

This study identifies APOBEC2 as a transcriptional repressor that represses non-myogenesis pathway genes to facilitate proper myoblast differentiation.

This study shows that CASC3 enhances NMD by linking the EJC to the NMD machinery, leading to increased degradation of NMD-targeted mRNAs.

This study shows that the m6A reader Ythdf limits axonal growth in Drosophila by modulating Fmr1 target selection.

This paper provides optimal design guidelines for metabolic RNA labeling experiments using asymptotic theory, showing optimal labeling times and when biochemical separation is preferable.

The paper presents a comprehensive analysis of AATF's RNA interactions, revealing its role in ribosome biogenesis through binding to pre-rRNA and mRNAs of ribosome factors.

This study identifies and characterizes circRNAs in the ageing African turquoise killifish across multiple tissues and time points, providing a resource for circRNA and ageing research.