Abstract

The Bioinformatics & Computational Modeling Resource has three primary goals: (i) to support the development and dissemination of tools required for numerical modeling of different types; (ii) to provide a means to organize heterogenous experimental data together within the context of formal informatic processes to produce self-consistent 'systematic data sets'; and (iii) to link systematic data-sets to numerical models for the purpose of developing an effective flow between modeling and experimentation. In addition the resource will provide bioinformatics support to the individual projects.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
5U54CA112967-05
Application #
7694420
Study Section
Special Emphasis Panel (ZCA1)
Project Start
Project End
Budget Start
2008-09-01
Budget End
2009-08-31
Support Year
5
Fiscal Year
2008
Total Cost
$353,371
Indirect Cost

  Institution

Name
Massachusetts Institute of Technology
Department
Type
DUNS #
001425594
City
Cambridge
State
MA
Country
United States
Zip Code
02139

  Publications

Kulkarni, Madhura; Tan, Tuan Zea; Syed Sulaiman, Nurfarhanah Bte et al. (2018) RUNX1 and RUNX3 protect against YAP-mediated EMT, stem-ness and shorter survival outcomes in breast cancer. Oncotarget 9:14175-14192
Oudin, Madeleine J; Barbier, Lucie; Schäfer, Claudia et al. (2017) MENA Confers Resistance to Paclitaxel in Triple-Negative Breast Cancer. Mol Cancer Ther 16:143-155
Bruno, Peter M; Liu, Yunpeng; Park, Ga Young et al. (2017) A subset of platinum-containing chemotherapeutic agents kills cells by inducing ribosome biogenesis stress. Nat Med 23:461-471
Werbin, Jeffrey L; Avendaño, Maier S; Becker, Verena et al. (2017) Multiplexed Exchange-PAINT imaging reveals ligand-dependent EGFR and Met interactions in the plasma membrane. Sci Rep 7:12150
Miller, Miles A; Sullivan, Ryan J; Lauffenburger, Douglas A (2017) Molecular Pathways: Receptor Ectodomain Shedding in Treatment, Resistance, and Monitoring of Cancer. Clin Cancer Res 23:623-629
Nagel, Zachary D; Kitange, Gaspar J; Gupta, Shiv K et al. (2017) DNA Repair Capacity in Multiple Pathways Predicts Chemoresistance in Glioblastoma Multiforme. Cancer Res 77:198-206
Oudin, Madeleine J; Hughes, Shannon K; Rohani, Nazanin et al. (2016) Characterization of the expression of the pro-metastatic Mena(INV) isoform during breast tumor progression. Clin Exp Metastasis 33:249-61
Sun, Daphne; Dalin, Simona; Hemann, Michael T et al. (2016) Differential selective pressure alters rate of drug resistance acquisition in heterogeneous tumor populations. Sci Rep 6:36198
Oudin, Madeleine J; Jonas, Oliver; Kosciuk, Tatsiana et al. (2016) Tumor Cell-Driven Extracellular Matrix Remodeling Drives Haptotaxis during Metastatic Progression. Cancer Discov 6:516-31
White, Forest M; Wolf-Yadlin, Alejandro (2016) Methods for the Analysis of Protein Phosphorylation-Mediated Cellular Signaling Networks. Annu Rev Anal Chem (Palo Alto Calif) 9:295-315

Showing the most recent 10 out of 222 publications