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Schimmel, J.

Publications and source records attributed to Schimmel, J..

2 recordsLinked to original sources

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↗

SIQ: easy quantitative measurement of mutation profiles in sequencing data

Establishing mutational outcomes after genome editing is of increasing importance with the advent of highly efficient genome-targeting tools. Next-generation sequencing (NGS) has become a vital method to investigate the extent of mutagenesis at specific target sites. Thus, robust and simple-to-use software that enables researchers to retrieve mutation profiles from NGS data is needed. Here, we present Sequence Interrogation and Quantification (SIQ), a tool that can analyse sequence data of any targeted experiment (e.g. CRISPR, I-SceI, TALENs) with a focus on event classification such as deletions, single-nucleotide variations, (templated) insertions and tandem duplications. SIQ results can be directly analysed and visualized via SIQPlotteR, an interactive web tool that we made freely available. Using novel and insightful tornado plot visualizations as outputs we illustrate that SIQ readily identifies differences in mutational signatures obtained from various DNA-repair deficient genetic backgrounds. SIQ greatly facilitates the interpretation of complex sequence data by establishing mutational profiles at specific loci and is, to our knowledge, the first tool that can analyse Sanger sequence data as well as short and long-read NGS data (e.g. Illumina and PacBio).

bioinformatics↗