Harvard T.H. Chan School of Public Health 4 articles published in JoVE Biology IR-TEx: An Open Source Data Integration Tool for Big Data Transcriptomics Designed for the Malaria Vector Anopheles gambiae Victoria A. Ingham1, Andrew Bennett2, Duo Peng3, Simon C. Wagstaff2, Hilary Ranson1 1Vector Biology, Liverpool School of Tropical Medicine, 2Research Computing Unit, Liverpool School of Tropical Medicine, 3Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health IR-TEx explores insecticide resistance-related transcriptional profiles in the species Anopheles gambiae. Provided here are full instructions for using the application, modifications for exploring multiple transcriptomic datasets, and using the framework to build an interactive database for collections of transcriptomic data from any organism, generated in any platform. Bioengineering Traction Microscopy Integrated with Microfluidics for Chemotactic Collective Migration Hwanseok Jang1, Jongseong Kim1, Jennifer H. Shin2, Jeffrey J. Fredberg3, Chan Young Park3, Yongdoo Park1 1Department of Biomedical Sciences, Korea University, 2Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, 3Department of Environmental Health, Harvard T.H. Chan School of Public Health Collective cell migration in development, wound healing, and cancer metastasis is often guided by the gradients of growth factors or signaling molecules. Described here is an experimental system combining traction microscopy with a microfluidic system and a demonstration of how to quantify the mechanics of collective migration under biochemical gradient. Immunology and Infection Methods to Increase the Sensitivity of High Resolution Melting Single Nucleotide Polymorphism Genotyping in Malaria Rachel Daniels1,2, Elizabeth J. Hamilton2, Katelyn Durfee2, Daouda Ndiaye3, Dyann F. Wirth2,5, Daniel L. Hartl1, Sarah K. Volkman2,4 1Department of Organismic and Evolutionary Biology, Harvard University, 2Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, 3Faculty of Medicine and Pharmacy, Cheikh Anta Diop University, 4School of Nursing and Health Sciences, Simmons College, 5Institute of Infectious Diseases, Broad Institute While high resolution melting analysis offers the ability to differentiate between single nucleotide polymorphisms in a heterogeneous population, mutant allele amplification bias can increase its ability to detect alleles present at relatively low percentages within a sample. This protocol describes improvements that improve the sensitivity of high resolution melting analysis. Medicine Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies Michael W. Ostler1, James H. Porter1,2, Orfeu M. Buxton1,2,3,4 1Center for Population and Development Studies, Harvard School of Public Health, 2 Biomarkers are directly-measured biological indicators of disease or health. In population and social sciences, biomarkers need to be easy to obtain, transport, and analyze. Dried Blood Spot (DBS) collection meets this need, can be collected in the field with high response rates and analyzed for a variety of biomarkers.
