Significados de serial analysis of gene expression em inglês

Methods: The method of serial analysis of gene expression provides short diagnostic cDNA tags without bias towards known genes.

Conclusions: The microassay for serial analysis of gene expression makes possible large-scale quantitative measurements of mRNA levels in nephron segments.

Methods: The transcriptional response to hypoxia in human glioblastoma cells was quantified with the use of serial analysis of gene expression.

In an initial study, we compared quantitative transcriptome data across mouse brain territories using the serial analysis of gene expression method.

A microassay was set-up to perform serial analysis of gene expression in minute samples such as those obtained by microdissecting nephron segments.

We used the serial analysis of gene expression (SAGE) method to systematically analyze transcripts present in non-small cell lung cancer.

We employed robust-long serial analysis of gene expression, massively parallel signature sequencing, and sequencing by synthesis to examine transcriptome profiles of infected rice leaves.

The serial analysis of gene expression (SAGE) method is used to study global gene expression in cells or tissues in various experimental conditions.

Recently, we applied microarray and serial analysis of gene expression (SAGE) techniques to the study of gammadelta T-cell function in humans and cattle.

We used serial analysis of gene expression (SAGE) to characterize the transcriptomes of C. neoformans strains that represent two varieties with different polysaccharide capsule serotypes.

Objective: To validate and supplement the libraries of serial analysis of gene expression (SAGE) by the application of the real-time quantitative polymerase chain reaction PCR).

Serial analysis of gene expression was applied to obtain a transcription library of the primary epithelial cell culture.

Serial analysis of gene expression (SAGE), has given researchers both qualitative and quantitative information pertaining to biological processes.

In parallel genes differentially expressed in human prostate cancer were identified by Digital Differential Display and the Serial Analysis of Gene Expression.

It produces output that is similar to Serial Analysis of Gene Expression (SAGE) and is ideal for building complex relational databases for gene expression.