Office: Life Sciences Building 289
Dr. Kam Dahlquist is an Associate Professor of Biology at Loyola Marymount University. Dr. Dahlquist earned a B.A. in Biology from Pomona College and a Ph.D. in Molecular, Cellular, and Developmental Biology from the University of California, Santa Cruz. Dr. Dahlquist performed postdoctoral research at the Gladstone Institute of Cardiovascular Disease at the University of California, San Francisco, and taught for two years at Vassar College before joining the LMU faculty in 2005.
In her research, Dr. Dahlquist follows an interdisciplinary approach to understanding gene regulatory networks that involves cutting-edge techniques in genomics, mathematical, and computational biology. This research crosses over into her teaching in such courses as Molecular Biology of the Genome, Biological Databases, Biomathematical Modeling and Bioinformatics Laboratory. She believes that her research and teaching must be informed by and contribute to a broader social context.
University of California at Santa Cruz: Ph.D., Molecular, Cellular, and Developmental Biology 2000
Pomona College: B.A., Biology 1993
University College: Study Abroad Program, Philosophy of Science 1991
Areas of Expertise (12)
Industry Expertise (2)
Awarded the ASBMB Thematic Best Poster Award in Systems Biology, for poster presented at the American Society for Biochemistry and Molecular Biology Annual Meeting, San Diego, California.
- American Society for Biochemistry and Molecular Biology
- Open Bioinformatics Foundation
- American Society for Cell Biology
- International Society for Computational Biology
- Association for Women in Science (AWIS)
- American Association for the Advancement of Science
Media Appearances (2)
Seaver Biologist Helps Solve Computational Data-Sharing Riddle
LMU Newsroom online
Want a glimpse of a key problem for biology researchers in the 21st century? Imagine the United Nations with no earphones and no translators. How would diplomats communicate?
Open Access in action at LMU: Professor Kam Dahlquist
LMU Library News online
We are highlighting members of the LMU community, who share why open access matters to them and how they've incorporated open access into their research, instruction, and publications.
Event Appearances (4)
Panelist: In the Open: the Future of Open Access Publishing and Libraries; Talk: Open Access Publishing: A PUI Faculty Perspective
SCELC (Statewide California Electronic Library Consortium) Colloquium Los Angeles, CA
GRNmap and GRNsight: Open Source Software for Dynamical Systems Modeling and Visualization of Medium-Scale Gene Regulatory Networks
Fifth Annual Southern California Systems Biology Conference Irvine, CA
Brrrr--How Do Yeast Cope When It's Cold Outside? Using DNA Microarrays and Mathematical Modeling to Understand Gene Regulatory Networks in Saccharomyces cerevisiae
Chapman University Orange, CA
Regulatory Dynamics of the Transcriptional Network Controlling the Cold Shock Response in Saccharomyces cerevisiae
American Society for Biochemistry and Molecular Biology Annual Meeting San Diego, CA
Research Grants (2)
ASBMB and NSF Travel Grant
American Society for Biochemistry and Molecular Biology $2,250
Received $2,250 to present at the American Society for Biochemistry and Molecular Biology Annual Meeting, April 20-24, 2012 in San Diego, California.
NSF-DMS Mathematical Biology, MCB Genes and Genome Systems $246,123
Collaborative Research and RUI: Stochastic Dynamic Network Models of Gene Regulation under Environmental Stress
Biological Pathway Exchange (BioPAX) is a standard language to represent biological pathways at the molecular and cellular level and to facilitate the exchange of pathway data. The rapid growth of the volume of pathway data has spurred the development of databases and computational tools to aid interpretation; however, use of these data is hampered by the current fragmentation of pathway information across many databases with incompatible formats.
Background: Microarray technologies have evolved rapidly, enabling biologists to quantify genome-wide levels of gene expression, alternative splicing, and sequence variations for a variety of species. Analyzing and displaying these data present a significant challenge. Pathway-based approaches for analyzing microarray data have proven useful for presenting data and for generating testable hypotheses.
MAPPFinder is a tool that creates a global gene-expression profile across all areas of biology by integrating the annotations of the Gene Ontology (GO) Project with the free software package GenMAPP. The results are displayed in a searchable browser, allowing the user to rapidly identify GO terms with over-represented numbers of gene-expression changes.
DNA microarrays are used to measure simultaneously the expression levels of thousands of genes. New tools are needed to relate the large amounts of microarray data generated to known models of cell biology and biochemistry. We have developed a free stand-alone computer program called GenMAPP (Gene Microarray Pathway Profiler), designed for viewing and analyzing gene expression data in the context of biological pathways.
The codon-anticodon interaction on the ribosome occurs in the A site of the 30 S subunit. Aminoglycoside antibiotics, which bind to ribosomal RNA in the A site, cause misreading of the genetic code and inhibit translocation. Biochemical studies and nuclear magnetic resonance spectroscopy were used to characterize the interaction between the aminoglycoside antibiotic paromomycin and a small model oligonucle- otide that mimics the A site of Escherichia coli 16 S ribosomal RNA.