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1.
Fam Cancer ; 19(1): 1-10, 2020 01.
Artículo en Inglés | MEDLINE | ID: mdl-31555933

RESUMEN

In 20-30% of patients suspected of a familial colorectal cancer (CRC) syndrome, no underlying genetic cause is detected. Recent advances in whole exome sequencing have generated evidence for new CRC-susceptibility genes including POLE, POLD1 and NTHL1¸ but many patients remain unexplained. Whole exome sequencing was performed on DNA from nine patients from five different families with familial clusters of CRC in which traditional genetic testing failed to yield a diagnosis. Variants were filtered by minor allele frequencies, followed by prioritization based on in silico prediction tools, and the presence in cancer susceptibility genes or genes in cancer-associated pathways. Effects of frameshift variants on protein structure were modeled using I-Tasser. One known pathogenic variant in POLD1 was detected (p.S478N), together with variants in 17 candidate genes not previously associated with CRC. Additional in silico analysis using SIFT, PROVEAN and PolyPhen on the 14 missense variants indicated a possible damaging effect in nine of 14 variants. Modeling of the insertions/deletions showed a damaging effect of two variants in NOTCH2 and CYP1B1. One family was explained by a mutation in a known familial CRC gene. In the remaining four families, the most promising candidates found are a frameshift NOTCH2 and a missense RAB25 variant. This study provides potential novel candidate variants in unexplained familial CRC patients, however, functional validation is imperative to confirm the role of these variants in CRC tumorigenesis. Additionally, while whole exome sequencing enables detection of variants throughout the exome, other causes explaining the familial phenotype such as multiple single nucleotide polymorphisms accumulating to a polygenic risk or epigenetic events, might be missed with this approach.


Asunto(s)
Neoplasias Colorrectales/genética , Secuenciación del Exoma , Genes Relacionados con las Neoplasias/genética , Predisposición Genética a la Enfermedad , Adolescente , Adulto , Anciano , Citocromo P-450 CYP1B1/genética , ADN Polimerasa III/genética , Femenino , Mutación del Sistema de Lectura , Humanos , Masculino , Proteínas de Microfilamentos/genética , Persona de Mediana Edad , Mutación Missense , Linaje , Receptor Notch2/genética , Síndrome , Adulto Joven , Proteínas de Unión al GTP rab/genética
2.
FEMS Yeast Res ; 14(4): 586-600, 2014 Jun.
Artículo en Inglés | MEDLINE | ID: mdl-24533625

RESUMEN

Zygosaccharomyces rouxii complex comprises three yeasts clusters sourced from sugar- and salt-rich environments: haploid Zygosaccharomyces rouxii, diploid Zygosaccharomyces sapae and allodiploid/aneuploid strains of uncertain taxonomic affiliations. These yeasts have been characterized with respect to gene copy number variation, karyotype variability and change in ploidy, but functional diversity in stress responses has not been explored yet. Here, we quantitatively analysed the stress response variation in seven strains of the Z. rouxii complex by modelling growth variables via model and model-free fitting methods. Based on the spline fit as most reliable modelling method, we resolved different interstrain responses to 15 environmental perturbations. Compared with Z. rouxii CBS 732(T) and Z. sapae strains ABT301(T) and ABT601, allodiploid strain ATCC 42981 and aneuploid strains CBS 4837 and CBS 4838 displayed higher multistress resistance and better performance in glycerol respiration even in the presence of copper. µ-based logarithmic phenotypic index highlighted that ABT601 is a slow-growing strain insensitive to stress, whereas ABT301(T) grows fast on rich medium and is sensitive to suboptimal conditions. Overall, the differences in stress response could imply different adaptation mechanisms to sugar- and salt-rich niches. The obtained phenotypic profiling contributes to provide quantitative insights for elucidating the adaptive mechanisms to stress in halo- and osmo-tolerant Zygosaccharomyces yeasts.


Asunto(s)
Fenotipo , Estrés Fisiológico , Zygosaccharomyces/fisiología , Cobre/metabolismo , Glicerol/metabolismo , Modelos Teóricos , Zygosaccharomyces/efectos de los fármacos , Zygosaccharomyces/crecimiento & desarrollo , Zygosaccharomyces/metabolismo
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