David Otaegui

This study identifies a critical technical limitation in SP-IRIS/IF platforms where non-vesicular artifacts persist after detergent treatment, highlighting the need for detergent lysis controls to ensure accurate single-EV phenotyping.

The paper analyzes eccDNA length distributions and breakpoint organization across multiple datasets to show that eccDNA formation is influenced by nucleosome positioning and DNA helix orientation.

MBIOME provides an open-source workflow for amplicon-based microbiome analysis, validated across sequencing platforms and showing improved flexibility and taxonomic resolution.

The paper compares circQTLs with splicing and expression QTLs, finding stronger genomic overlap with splicing-QTLs and distinct genomic distribution patterns.

The paper identifies genetic variants that regulate circRNA expression and splicing in multiple sclerosis, highlighting a dual-function variant on chromosome 17.

The paper evaluates circular nucleic acid detection tools, finding that combining at least three tools improves accuracy.

The paper proposes a workflow to analyze bacterial transcripts in RNAseq data from blood extracellular vesicles of people with Multiple Sclerosis to improve taxonomic profiling accuracy.