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1.
Blood ; 127(24): 3004-14, 2016 06 16.
Artículo en Inglés | MEDLINE | ID: mdl-26966091

RESUMEN

The spectrum of somatic alterations in hematologic malignancies includes substitutions, insertions/deletions (indels), copy number alterations (CNAs), and a wide range of gene fusions; no current clinically available single assay captures the different types of alterations. We developed a novel next-generation sequencing-based assay to identify all classes of genomic alterations using archived formalin-fixed paraffin-embedded blood and bone marrow samples with high accuracy in a clinically relevant time frame, which is performed in our Clinical Laboratory Improvement Amendments-certified College of American Pathologists-accredited laboratory. Targeted capture of DNA/RNA and next-generation sequencing reliably identifies substitutions, indels, CNAs, and gene fusions, with similar accuracy to lower-throughput assays that focus on specific genes and types of genomic alterations. Profiling of 3696 samples identified recurrent somatic alterations that impact diagnosis, prognosis, and therapy selection. This comprehensive genomic profiling approach has proved effective in detecting all types of genomic alterations, including fusion transcripts, which increases the ability to identify clinically relevant genomic alterations with therapeutic relevance.


Asunto(s)
Dermatoglifia del ADN/métodos , Perfilación de la Expresión Génica/métodos , Genómica/métodos , Neoplasias Hematológicas/genética , Neoplasias Hematológicas/metabolismo , Aberraciones Cromosómicas , Técnicas de Laboratorio Clínico/métodos , Análisis Mutacional de ADN/métodos , ADN de Neoplasias/análisis , Regulación Neoplásica de la Expresión Génica , Neoplasias Hematológicas/patología , Secuenciación de Nucleótidos de Alto Rendimiento , Humanos , Mutación , Polimorfismo Genético , ARN Neoplásico/análisis , Sensibilidad y Especificidad , Integración de Sistemas
2.
Proc Natl Acad Sci U S A ; 105(8): 3100-5, 2008 Feb 26.
Artículo en Inglés | MEDLINE | ID: mdl-18287045

RESUMEN

One of the hallmarks of the Gram-negative bacterium Pseudomonas aeruginosa is its ability to thrive in diverse environments that includes humans with a variety of debilitating diseases or immune deficiencies. Here we report the complete sequence and comparative analysis of the genomes of two representative P. aeruginosa strains isolated from cystic fibrosis (CF) patients whose genetic disorder predisposes them to infections by this pathogen. The comparison of the genomes of the two CF strains with those of other P. aeruginosa presents a picture of a mosaic genome, consisting of a conserved core component, interrupted in each strain by combinations of specific blocks of genes. These strain-specific segments of the genome are found in limited chromosomal locations, referred to as regions of genomic plasticity. The ability of P. aeruginosa to shape its genomic composition to favor survival in the widest range of environmental reservoirs, with corresponding enhancement of its metabolic capacity is supported by the identification of a genomic island in one of the sequenced CF isolates, encoding enzymes capable of degrading terpenoids produced by trees. This work suggests that niche adaptation is a major evolutionary force influencing the composition of bacterial genomes. Unlike genome reduction seen in host-adapted bacterial pathogens, the genetic capacity of P. aeruginosa is determined by the ability of individual strains to acquire or discard genomic segments, giving rise to strains with customized genomic repertoires. Consequently, this organism can survive in a wide range of environmental reservoirs that can serve as sources of the infecting organisms.


Asunto(s)
Fibrosis Quística/complicaciones , Ambiente , Evolución Molecular , Genoma Bacteriano , Filogenia , Infecciones por Pseudomonas/microbiología , Pseudomonas aeruginosa/genética , Secuencia de Bases , Genómica , Humanos , Datos de Secuencia Molecular , Infecciones por Pseudomonas/etiología , Alineación de Secuencia , Análisis de Secuencia de ADN
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