Publications by authors named "K Hajo"

Chromosomal rearrangements are important drivers in cancer, and their robust detection is essential for diagnosis, prognosis, and treatment selection, particularly for bone and soft tissue tumors. Current diagnostic methods are hindered by limitations, including difficulties with multiplexing targets and poor quality of RNA. A novel targeted DNA-based next-generation sequencing method, formalin-fixed, paraffin-embedded-targeted locus capture (FFPE-TLC), has shown advantages over current diagnostic methods when applied on FFPE lymphomas, including the ability to detect novel rearrangements.

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Background: Cystic fibrosis (CF) disease severity can be highly variable, even between people with CF (pwCF) with similar genotypes. Here we use patient-derived intestinal organoids to study the influence of genetic variation within the cystic fibrosis transmembrane conductance regulator (CFTR) gene on CFTR function.

Methods: Organoids of F508del/class I, F508del/S1251N and pwCF with only one detected CF-causing mutation were cultured.

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Targeted locus amplification (TLA) allows for the detection of all genetic variation (including structural variation) in a genomic region of interest. As TLA is based on proximity ligation, variants can be linked to each other, thereby enabling allelic phasing and the generation of haplotypes. This allows for the study of genetic variants in an allele-specific manner.

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Article Synopsis
  • In routine pathology, cancer biopsies are preserved using formalin-fixed, paraffin-embedding (FFPE) techniques, but this process causes DNA fragmentation, making it difficult to analyze chromosomal rearrangements crucial for cancer diagnosis and treatment.
  • The new method presented, FFPE-targeted locus capture (FFPE-TLC), targets sequencing of specific rearrangements in FFPE samples, allowing for deeper insights into previously unknown rearrangements.
  • FFPE-TLC has proven to be more sensitive and specific than traditional methods like fluorescence in situ hybridization (FISH) and standard capture-NGS, making it a significant advancement for accurate cancer diagnostics in preserved tissue samples.
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We present TaxPhlAn, a new method and bioinformatics pipeline for design and analysis of single-locus sequence typing (SLST) markers to type and profile bacteria beyond the species-level in a complex microbial community background. TaxPhlAn can be applied to any group of phylogenetically-related bacteria, provided reference genomes are available. As TaxPhlAn requires the SLST targets identified to fit the phylogenetic pattern as determined through comprehensive evolutionary reconstruction of input genomes, TaxPhlAn allows for the identification and phylogenetic inference of new biodiversity.

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