Volume 10 Supplement 2

Proceedings of the 2012 Sino-American Symposium on Clinical and Translational Medicine (SAS-CTM)

Open Access

A quaternary equation for interdisciplinary medical research (IMR)

  • Marc Shuman1Email author,
  • Jim Wells2,
  • K Shokat3,
  • S Bernales4,
  • P Walter4,
  • Leonard Shultz5 and
  • Neal Goodwin5
Journal of Translational Medicine201210(Suppl 2):A49

https://doi.org/10.1186/1479-5876-10-S2-A49

Published: 17 October 2012

A popular model for developmental therapeutics is one in which drugs are developed by biotechnology and pharma. Candidate molecules are then handed off to academia and Clinical Research Organizations (CRO’s) for clinical testing. We have embarked on a different approach whereby 1. Potential targets are identified in a candidate pathway, 2. Gene expression/genomics are interrogated in normal and diseased human tissues for their relevance, 3. Highly specific chemical reagents against putative targets are developed to determine their importance, 4. Model compounds are tested in pre-clinical cell and mouse models, 5. Collaborations are established with biotechnology/pharma for drug development. We have taken this approach with the goal of stimulating drug development in an as yet relatively unexplored important survival pathway, the Unfolded Protein Response. Interest in this complex pathway, expressed in all eukaryotic organisms, has recently surfaced, and particularly in cancer and neurodegenerative diseases. Our team includes faculty with expertise in high throughput drug screening, kinase chemistry, cell biology, and clinical research. Specific compounds have been identified, further modified and tested against all 3 branches of the UPR: Ire1, PERK and ATF6 using chemical and cell – based assays. In addition, novel transgenic animals have been established in which there is the exciting potential for recreating the orphan disease, Multiple Myeloma. Using primary bone marrow from patients with this disease, we hope to be able to screen drugs, in vivo, that will predict individual patients’ response to treatment.

Authors’ Affiliations

(1)
Departments of Medicine, Univ. of California Schools of Medicine & Pharmacy
(2)
Departments of Pharmaceutical Chemistry, Univ. of California Schools of Medicine & Pharmacy
(3)
Department of Cellular and Molecular Pharmacology, Univ. of California Schools of Medicine & Pharmacy
(4)
Departments of Biochemistry & Biophysics, Univ. of California Schools of Medicine & Pharmacy
(5)
The Jackson Laboratory

Copyright

© Shuman et al; licensee BioMed Central Ltd. 2012

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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