Identifying therapeutic targets by combining transcriptional data with ordinal clinical measurements

Leila Pirhaji; Pamela Milani; Simona Dalin; Brook T. Wassie; Denise E. Dunn; Robert J. Fenster; Julian Avila-Pacheco; Paul Greengard; Clary B. Clish; Myriam Heiman; Donald C. Lo; Ernest Fraenkel

doi:10.1038/s41467-017-00353-6

Nature Communications (Sep 2017)

Identifying therapeutic targets by combining transcriptional data with ordinal clinical measurements

Leila Pirhaji,
Pamela Milani,
Simona Dalin,
Brook T. Wassie,
Denise E. Dunn,
Robert J. Fenster,
Julian Avila-Pacheco,
Paul Greengard,
Clary B. Clish,
Myriam Heiman,
Donald C. Lo,
Ernest Fraenkel

Affiliations

Leila Pirhaji: Department of Biological Engineering, Massachusetts Institute of Technology
Pamela Milani: Department of Biological Engineering, Massachusetts Institute of Technology
Simona Dalin: Department of Biological Engineering, Massachusetts Institute of Technology
Brook T. Wassie: Department of Biological Engineering, Massachusetts Institute of Technology
Denise E. Dunn: Center for Drug Discovery, Department of Neurobiology, Duke University Medical Center
Robert J. Fenster: Picower Institute for Learning and Memory
Julian Avila-Pacheco: Broad Institute
Paul Greengard: Laboratory of Cellular and Molecular Neuroscience, The Rockefeller University
Clary B. Clish: Broad Institute
Myriam Heiman: Picower Institute for Learning and Memory
Donald C. Lo: Center for Drug Discovery, Department of Neurobiology, Duke University Medical Center
Ernest Fraenkel: Department of Biological Engineering, Massachusetts Institute of Technology

DOI: https://doi.org/10.1038/s41467-017-00353-6
Journal volume & issue: Vol. 8, no. 1
pp. 1 – 13

Abstract

Read online

Identifying gene subsets affecting disease phenotypes from transcriptome data is challenge. Here, the authors develop a method that combines transcriptional data with disease ordinal clinical measurements to discover a sphingolipid metabolism regulator involving in Huntington’s disease progression.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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