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David H. Mack

Researcher at Affymetrix

Publications -  52
Citations -  8156

David H. Mack is an academic researcher from Affymetrix. The author has contributed to research in topics: Breast cancer & Gene. The author has an hindex of 23, co-authored 52 publications receiving 7920 citations. Previous affiliations of David H. Mack include Stanford University.

Papers
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Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays.

TL;DR: In this paper, a two-way clustering algorithm was applied to both the genes and the tissues, revealing broad coherent patterns that suggest a high degree of organization underlying gene expression in these tissues.
Journal ArticleDOI

Blimp-1, a novel zinc finger-containing protein that can drive the maturation of B lymphocytes into immunoglobulin-secreting cells

TL;DR: Stable or transient transfection of Blimp-1 into B cell lymphoma lines leads to the expression of many of the phenotypic changes associated with B cell differentiation into an early plasma cell stage, including induction of J chain message and immunoglobulin secretion, up-regulation of Syndecan-1, and increased cell size and granularity.
Journal ArticleDOI

Analysis of p53-regulated gene expression patterns using oligonucleotide arrays

TL;DR: The results of this study demonstrate that the nature of the p53 response in diverse mRNA species depends on the levels of p53 protein in a cell, the type of inducing agent or event, and the cell type employed.
Journal Article

Survival analysis of genome-wide gene expression profiles of prostate cancers identifies new prognostic targets of disease relapse.

TL;DR: The findings demonstrate that multivariable survival analysis can be applied to gene expression profiles of prostate cancers with censored follow-up data and used to identify molecular markers of prostate cancer relapse with strong predictive power and relevance to the etiology of this disease.
Patent

Methods of diagnosis of cancer compositions and methods of screening for modulators of cancer

TL;DR: In this article, genes whose expression is upregulated or downregulated in specific cancers are described and related methods and compositions that can be used for diagnosis and treatment of those cancers are disclosed.