Research Abstracts Online
2008 - March 2009
University of Minnesota Twin Cities
Department of Laboratory Medicine and Pathology
PI: Donald P. Connelly
The Detection and Measurement of Bone Marrow Biopsy Diagnostic Discordance; Genomic Analysis of Oscillating Genes; Regional Blood Utilization Collaborative; Cancer Center Research
These researchers are using the CGL for various projects. One project is a study of bone marrow diagnostic testing by cytogenetics, flow cytometry, and hematopathology laboratories. It is expected that diagnoses determined by these laboratories on aliquots of the same bone marrow would be from the same World Health Organization diagnostic category even though they use different testing methods. The first phase of the project found statistically significant diagnostic discordance rates of these laboratories on the bone marrow specimens. The second phase entails categorizing discordant cases by patient impact or clinical significance, the number of discordant diagnoses, the cause or etiology of discordance, and the difference in the classification levels.
A new project begun during this period involves taking time-series microarray expression data and analyzing it to extract the gene sets from the genomic data that are oscillating in their expression. The gene sets will be used in the analysis of single nucleotide polymorphisms and copy number variations in the human genome.
A project completed during this period created a database to allow community hospitals in Minnesota to compare blood-use practices among institutions and to allow medical practitioners to more accurately determine how much blood should be used during surgery.
These researchers also provide computational and analytic support to the Cancer Center using numerous Supercomputing Institute resources.
Anne Lamblin, Research Associate
Andrea Pitkus, Graduate Student
Aaron Sarver, Research Associate
Kevin A. T. Silverstein, Research Associate
Rodney Staggs, Staff
Amar Subramanian, Collaborator
HoJung Yoon, Research Associate