Genentech, Inc.

Merck Sharp + Dohme Corp.

Oklahoma Medical Research Foundation

Laboratory Corporation of America Holdings

Crescendo Bioscience

Guy L Cavet

Peter S Linsley

Julja Burchard

Steven Bartz

Michael Centola

Lukas C Amler

Aimee L Jackson

Mark Lackner

Nicholas Knowlton

Carol O'Brien

Ajay Pandita

Yijing Shen

Ge Wei

Wei Ge

Steven R Bartz

Biomarkers useful for diagnosing and assessing inflammatory disease are provided, along with kits for measuring their expression. The invention also provides predictive models, based on the biomarkers, as well as computer systems, and software embodiments of the models for scoring and optionally classifying samples. The biomarkers include at least two biomarkers selected from the DAIMRK group and the score is a disease activity index (DAI).

Biomarkers and methods for measuring and monitoring inflammatory disease activity

Methods and compositions are provided to determine if a cancer is resistant to treatment with anti-mitotic agents, including treatment with T-DM1. The methods relate to determining if the ABCC3 gene is amplified and/or overexpressed in the cancer.

Genetic variations associated with drug resistance

The present invention provides a method for identifying siRNA target motifs in a transcript using a position-specific score matrix approach. The invention also provides a method for identifying off-target genes of an siRNA using a position-specific score matrix approach. The invention further provides a method for designing siRNAs with higher silencing efficacy and specificity. The invention also provides a library of siRNAs comprising siRNAs with high silencing efficacy and specificity.

Method for selecting SIRNAs from a plurality of SIRNAs for gene silencing

Method of designing siRNAs for gene silencing

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Burlingame, CA, United States of America

Guy L Cavet