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1.
Cardiovasc Interv Ther ; 30(4): 382-4, 2015 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-25547257

RESUMO

Pulmonary artery catheter entrapment is a reported complication after cardiac surgery from inadvertent suturing of the catheter to the vena-caval wall during surgery. This article reports a simple percutaneous technique to retrieve the trapped catheter.


Assuntos
Procedimentos Cirúrgicos Cardíacos/métodos , Cateterismo de Swan-Ganz/efeitos adversos , Remoção de Dispositivo/métodos , Corpos Estranhos/cirurgia , Artéria Pulmonar , Idoso de 80 Anos ou mais , Angiografia , Corpos Estranhos/diagnóstico por imagem , Corpos Estranhos/etiologia , Humanos , Masculino
2.
J Biomol Tech ; 22(2): 74-84, 2011 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-21738440

RESUMO

Multi-sample pooling and Illumina Genome Analyzer (GA) sequencing allows high throughput sequencing of multiple samples to determine population sequence variation. A preliminary experiment, using the RET proto-oncogene as a model, predicted ≤ 30 samples could be pooled to reliably detect singleton variants without requiring additional confirmation testing. This report used 30 and 50 sample pools to test the hypothesized pooling limit and also to test recent protocol improvements, Illumina GAIIx upgrades, and longer read chemistry. The SequalPrep(TM) method was used to normalize amplicons before pooling. For comparison, a single 'control' sample was run in a different flow cell lane. Data was evaluated by variant read percentages and the subtractive correction method which utilizes the control sample. In total, 59 variants were detected within the pooled samples, which included all 47 known true variants. The 15 known singleton variants due to Sanger sequencing had an average of 1.62 ± 0.26% variant reads for the 30 pool (expected 1.67% for a singleton variant [unique variant within the pool]) and 1.01 ± 0.19% for the 50 pool (expected 1%). The 76 base read lengths had higher error rates than shorter read lengths (33 and 50 base reads), which eliminated the distinction of true singleton variants from background error. This report demonstrated pooling limits from 30 up to 50 samples (depending on error rates and coverage), for reliable singleton variant detection. The presented pooling protocols and analysis methods can be used for variant discovery in other genes, facilitating molecular diagnostic test design and interpretation.


Assuntos
Análise de Sequência de DNA/instrumentação , Interpretação Estatística de Dados , Variação Genética , Humanos , Proto-Oncogene Mas , Proteínas Proto-Oncogênicas c-ret/genética , Valores de Referência , Reprodutibilidade dos Testes , Análise de Sequência de DNA/métodos
3.
J Biomol Tech ; 21(3): 126-40, 2010 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-20808642

RESUMO

Determination of sequence variation within a genetic locus to develop clinically relevant databases is critical for molecular assay design and clinical test interpretation, so multisample pooling for Illumina genome analyzer (GA) sequencing was investigated using the RET proto-oncogene as a model. Samples were Sanger-sequenced for RET exons 10, 11, and 13-16. Ten samples with 13 known unique variants ("singleton variants" within the pool) and seven common changes were amplified and then equimolar-pooled before sequencing on a single flow cell lane, generating 36 base reads. For comparison, a single "control" sample was run in a different lane. After alignment, a 24-base quality score-screening threshold and 3; read end trimming of three bases yielded low background error rates with a 27% decrease in aligned read coverage. Sequencing data were evaluated using an established variant detection method (percent variant reads), by the presented subtractive correction method, and with SNPSeeker software. In total, 41 variants (of which 23 were singleton variants) were detected in the 10 pool data, which included all Sanger-identified variants. The 23 singleton variants were detected near the expected 5% allele frequency (average 5.17%+/-0.90% variant reads), well above the highest background error (1.25%). Based on background error rates, read coverage, simulated 30, 40, and 50 sample pool data, expected singleton allele frequencies within pools, and variant detection methods; >or=30 samples (which demonstrated a minimum 1% variant reads for singletons) could be pooled to reliably detect singleton variants by GA sequencing.


Assuntos
Bases de Dados Genéticas , Variação Genética , Genoma , Sequência de Bases , Primers do DNA , Éxons , Íntrons , Reação em Cadeia da Polimerase , Polimorfismo de Nucleotídeo Único
4.
J Biomol Tech ; 21(2): 73-80, 2010 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-20592870

RESUMO

Next-generation sequencing (NGS) is widely used in biomedical research, but its adoption has been limited in molecular diagnostics. One application of NGS is the targeted resequencing of genes whose mutations lead to an overlapping clinical phenotype. This study evaluated the comparative performance of the Illumina Genome Analyzer and Roche 454 GS FLX for the resequencing of 16 genes associated with hypertrophic cardiomyopathy (HCM). Using a single human genomic DNA sample enriched by long-range PCR (LR-PCR), 40 GS FLX and 31 Genome Analyzer exon variants were identified using >or=30-fold read-coverage and >or=20% read-percentage selection criteria. Twenty-seven platform concordant variants were Sanger-confirmed. The discordant variants segregated into two categories: variants with read coverages >or=30 on one platform but <30-fold on the alternate platform and variants with read percentages >or=20% on one platform but <20% on the alternate platform. All variants with <30-fold coverage were Sanger-confirmed, suggesting that the coverage criterion of >or=30-fold is too stringent for variant discovery. The variants with <20% read percentage were identified as reference sequence based on Sanger sequencing. These variants were found in homopolymer tracts and short-read misalignments, specifically in genes with high identity. The results of the current study demonstrate the feasibility of combining LR-PCR with the Genome Analyzer or GS FLX for targeted resequencing of HCM-associated genes.


Assuntos
Cardiomiopatia Hipertrófica/genética , Genoma Humano/genética , Análise de Sequência de DNA/instrumentação , Análise de Sequência de DNA/métodos , Éxons/genética , Humanos , Íntrons/genética , Mutação/genética , Padrões de Referência
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