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Biomedical subjects

Winston P Kuo

Publications and source records attributed to Winston P Kuo.

3 recordsLinked to original sources

MicroSAGE is highly representative and reproducible but reveals major differences in gene expression among samples obtained from similar tissues.

BACKGROUND: Serial analysis of gene expression using small amounts of starting material (microSAGE) has not yet been conclusively shown to be representative, reproducible or accurate. RESULTS: We show that microSAGE is highly representative, reproducible and accurate, but that pronounced differences in gene expression are seen between tissue samples taken from different individuals. CONCLUSIONS: MicroSAGE is a reliable method of comprehensively profiling differences in gene expression among samples, but care should be taken in generalizing results obtained from libraries constructed from tissue obtained from different individuals and/or processed or stored differently.

3T3 Cells↗

Analysis of repeatability in spotted cDNA microarrays.

We report a strategy for analysis of data quality in cDNA microarrays based on the repeatability of repeatedly spotted clones. We describe how repeatability can be used to control data quality by developing adaptive filtering criteria for microarray data containing clones spotted in multiple spots. We have applied the method on five publicly available cDNA microarray data sets and one previously unpublished data set from our own laboratory. The results demonstrate the feasibility of the approach as a foundation for data filtering, and indicate a high degree of variation in data quality, both across the data sets and between arrays within data sets.

Oligonucleotide Array Sequence Analysis↗

Gene expression profiling using laser capture microdissection.

Human disease is governed by a complex array of cellular populations and sub-population. Gene expression profiling is proving an important means of understanding and classifying pathophysiologic processes by identifying genes, gene pathways and pathway networks not previously known to be associated with particular diseases. However, disease-associated gene expression can be obscured by surrounding 'normal' tissue. Laser capture microdissection allows gene expression analysis of pooled single cells, cell subpopulations and cell populations. Analysis of laser capture microdissection-procured cells will allow a better understanding of the cellular components of disease.

DNA, Complementary↗