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1.
Pathol Res Pract ; 215(11): 152595, 2019 Nov.
Article in English | MEDLINE | ID: mdl-31570282

ABSTRACT

INTRODUCTION: The detection of BRCA1/2 mutations is important because PARP1 inhibitors are approved for germline and/or somatic BRCA-mutated advanced ovarian cancer. Next-generation sequencing (NGS) is increasingly used in clinical practice for BRCA1/2 mutations. The purpose of this study was to consider several conditions of NGS BRCA1/2 assay applicable to clinical laboratory tests, in particular for using formalin fixed paraffin embedded (FFPE) ovarian tissues. MATERIALS AND METHODS: We selected 64 ovarian cancer patients and performed Oncomine™ BRCA assay using FFPE tissue. Effect of FFPE sample quality was analyzed by NGS quality parameters including deamination metric. Somatic variants were selected by removing germline variants of peripheral blood and interpreted as pathogenic, variants of unknown significance, and false positive. RESULTS: We found a positive relationship between the number of variants over the deamination metric and FFPE age (P < 0.001) with a cutoff values of approximately 0.7 and 60 months, respectively. When comparing NGS results with Sanger sequencing, NGS misreported 3 of 15 variants using default parameters which were corrected after changing parameters. We detected somatic variants in eight patients and classified them into pathogenic (n = 3), VUS (n = 3) and false positive (n = 2). CONCLUSIONS: This study is important for improving BRCA1/2 mutation detection capabilities of NGS analytical pipelines and strategy to overcome their limitations using FFPE tissue in ovarian cancer patients.


Subject(s)
BRCA1 Protein/genetics , BRCA2 Protein/genetics , DNA Mutational Analysis/methods , High-Throughput Nucleotide Sequencing/methods , Ovarian Neoplasms/genetics , Adolescent , Adult , Aged , Biomarkers, Tumor/analysis , Biomarkers, Tumor/genetics , Female , Formaldehyde , Humans , Middle Aged , Mutation , Paraffin Embedding , Republic of Korea , Tissue Fixation , Young Adult
2.
J Biol Eng ; 4: 6, 2010 May 25.
Article in English | MEDLINE | ID: mdl-20500847

ABSTRACT

BACKGROUND: Membrane proteins are an important class of proteins, playing a key role in many biological processes, and are a promising target in pharmaceutical development. However, membrane proteins are often difficult to produce in large quantities for the purpose of crystallographic or biochemical analyses. RESULTS: In this paper, we demonstrate that synthetic gene circuits designed specifically to overexpress certain genes can be applied to manipulate the expression kinetics of a model membrane protein, cytochrome bd quinol oxidase in E. coli, resulting in increased expression rates. The synthetic circuit involved is an engineered, autoinducer-independent variant of the lux operon activator LuxR from V. fischeri in an autoregulatory, positive feedback configuration. CONCLUSIONS: Our proof-of-concept experiments indicate a statistically significant increase in the rate of production of the bd oxidase membrane protein. Synthetic gene networks provide a feasible solution for the problem of membrane protein production.

3.
J Biol Eng ; 4: 4, 2010 Feb 26.
Article in English | MEDLINE | ID: mdl-20187959

ABSTRACT

BACKGROUND: Positive feedback is a common mechanism used in the regulation of many gene circuits as it can amplify the response to inducers and also generate binary outputs and hysteresis. In the context of electrical circuit design, positive feedback is often considered in the design of amplifiers. Similar approaches, therefore, may be used for the design of amplifiers in synthetic gene circuits with applications, for example, in cell-based sensors. RESULTS: We developed a modular positive feedback circuit that can function as a genetic signal amplifier, heightening the sensitivity to inducer signals as well as increasing maximum expression levels without the need for an external cofactor. The design utilizes a constitutively active, autoinducer-independent variant of the quorum-sensing regulator LuxR. We experimentally tested the ability of the positive feedback module to separately amplify the output of a one-component tetracycline sensor and a two-component aspartate sensor. In each case, the positive feedback module amplified the response to the respective inducers, both with regards to the dynamic range and sensitivity. CONCLUSIONS: The advantage of our design is that the actual feedback mechanism depends only on a single gene and does not require any other modulation. Furthermore, this circuit can amplify any transcriptional signal, not just one encoded within the circuit or tuned by an external inducer. As our design is modular, it can potentially be used as a component in the design of more complex synthetic gene circuits.

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