Scott Carlson: Difference between revisions

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=Research Interests=
=Research Interests=


==Proteomics==
==Graduate Research==


=== MAPK Substrates in Cancer and Diabetes ===
=== MAPK Substrates in Cancer and Diabetes ===
The mitogen-activated protein kinases (MAPKs) are involved in signal transduction downstream of stress and growth factors.  Activation of JNK in a critical event in development of type II diabetes, and activation of ERK is involved in both diabetes and cancer.  I am combining mass spectrometry a chemical genetics strategy, developed by Kevan Shokat, to identify substrates of these kinases.
The mitogen-activated protein kinases (MAPKs) are involved in signal transduction downstream of stress and growth factors.  Activation of JNK in a critical event in development of type II diabetes, and activation of ERK is involved in both diabetes and cancer.  I am combining mass spectrometry a chemical genetics strategy, developed by Kevan Shokat, to identify substrates of these kinases.


==Undergraduate Research==
==Undergraduate Research==

Revision as of 20:49, 13 May 2008

<nonwikionly> Scott Carlson

</nonwikionly>

I'm a 2nd-year graduate student in Biological Engineering at the Massachusetts Institute of Technology. I work with Professor Forest White on phosphoproteomics applied to diabetes and cancer.

Research Interests

Graduate Research

MAPK Substrates in Cancer and Diabetes

The mitogen-activated protein kinases (MAPKs) are involved in signal transduction downstream of stress and growth factors. Activation of JNK in a critical event in development of type II diabetes, and activation of ERK is involved in both diabetes and cancer. I am combining mass spectrometry a chemical genetics strategy, developed by Kevan Shokat, to identify substrates of these kinases.


Undergraduate Research

Clinical Proteomics

Using the combination of informatics and high-throughput experiments to identify clinically relevant diagnostics. I worked with Dr. Harvey Cohen at Stanford to identify blood biomarkers for Kasawaki disease, monitor juvenile arthritis, and identify premature infants at risk for common disorders.

Biostatistics

High-throughput experiments in proteomics and genomics have required a range of new statistical methods. Protein measurements are often strongly correlated, and correlated variables interfere with most of the statistical analyses. I applied clustering methods as a form of data-reduction to reduce problems introduced by correlated proteins.

Computational Genetics

I worked with Dr. Leonid Kruglyak and Dr. Elaine Ostrander on study of genetic variability among pure-breed dogs. This work was published in Science (see the CV).

iGEM

I'm a graduate student adviser for MIT's undergraduate team for the International Genetically Engineered Machines competition. See the iGEM website or our team wiki for more information.

Curriculum Vitae

Download my CV here.