It is clear that the next generation of experimental biologists studying cell signaling must be equipped to work productively and in teams with mathematical, computational and physical scientists. It is also clear that current problems in cell signaling represent rich opportunity for the development of entirely new mathematics, statistics and computer science. The STMC Training Core will integrate training in the biomedical sciences, physical sciences, mathematics, and engineering in order to produce a new generation of researchers equipped with the biological and computational knowledge to answer critical biological questions in the 21*'century. Through a variety of funding sources the STMC will maintain a cohort of 10-12 graduate students. The Training Core budget will provide stipends to two STMC Fellows per year in the Biomedical Sciences graduate program (BMSGP) or in the graduate programs of the Departments of Mathematics and Statistics, Physics and Astronomy, Computer Science, Chemical and Nuclear Engineering and Electrical and Computer Engineering. Additional stipends for STMC Fellows will come from the Office of the Vice President for Research and Development and from the CRTC (see letters attached). STMC Fellows may also receive support from the School of Medicine (through the MD/PhD program that recruits 1-2 students per year), the SOE (every student accepted to the two IGERT nanobiology training grants receives two years of NSF support) and the National labs (every student who selects a primary mentor at SNL or LANL is eligible for lab fellowships). Finally, Drs. Oliver, Wilson, D. Lidke, Prossnitz and Edwards are all members of the NIAID-funded Infectious Disease and Inflammation (IDIP) T32 grant, which has a
| Tasnim, Humayra; Fricke, G Matthew; Byrum, Janie R et al. (2018) Quantitative Measurement of Naïve T Cell Association With Dendritic Cells, FRCs, and Blood Vessels in Lymph Nodes. Front Immunol 9:1571 |
| Travers, Timothy; López, Cesar A; Van, Que N et al. (2018) Molecular recognition of RAS/RAF complex at the membrane: Role of RAF cysteine-rich domain. Sci Rep 8:8461 |
| Suderman, Ryan; Mitra, Eshan D; Lin, Yen Ting et al. (2018) Generalizing Gillespie's Direct Method to Enable Network-Free Simulations. Bull Math Biol : |
| Pallikkuth, Sandeep; Martin, Cheyenne; Farzam, Farzin et al. (2018) Sequential super-resolution imaging using DNA strand displacement. PLoS One 13:e0203291 |
| López, Cesar A; Unkefer, Clifford J; Swanson, Basil I et al. (2018) Membrane perturbing properties of toxin mycolactone from Mycobacterium ulcerans. PLoS Comput Biol 14:e1005972 |
| Peretti, Amanda S; Dominguez, Dayna; Grimes, Martha M et al. (2018) The R-Enantiomer of Ketorolac Delays Mammary Tumor Development in Mouse Mammary Tumor Virus-Polyoma Middle T Antigen (MMTV-PyMT) Mice. Am J Pathol 188:515-524 |
| Brandsma, Arianne M; Schwartz, Samantha L; Wester, Michael J et al. (2018) Mechanisms of inside-out signaling of the high-affinity IgG receptor Fc?RI. Sci Signal 11: |
| Hudson, Laurie G; Gillette, Jennifer M; Kang, Huining et al. (2018) Ovarian Tumor Microenvironment Signaling: Convergence on the Rac1 GTPase. Cancers (Basel) 10: |
| Palsuledesai, Charuta C; Surviladze, Zurab; Waller, Anna et al. (2018) Activation of Rho Family GTPases by Small Molecules. ACS Chem Biol 13:1514-1524 |
| Kumar, Suresh; Jain, Ashish; Farzam, Farzin et al. (2018) Mechanism of Stx17 recruitment to autophagosomes via IRGM and mammalian Atg8 proteins. J Cell Biol 217:997-1013 |
Showing the most recent 10 out of 144 publications
