Research in the Alan Scott Lab involves several important areas of genomics. Our team collaborates on a study to investigate the exon and genome sequence variants that determine phenotype, with a specific focus on the genetic bases of cleft lip and palate. We are also involved in assessing and improving genomic technologies to provide next-generation sequencing and analysis of sequence data to the clinical environment. In addition, we have a longstanding interest in the problem of gene annotation and the evolutionary genomics of vertebrates, especially endangered species.
The goal of the Johns Hopkins Brain Cancer Biology and Therapy Laboratory is to locate the genetic and genomic changes that lead to brain cancer. These molecular changes are evaluated for their potential as therapeutic targets and are often mutated genes, or genes that are over-expressed during the development of a brain cancer. The brain cancers that the Riggins Laboratory studies are medulloblastomas and glioblastomas. Medulloblastomas are the most common malignant brain tumor for children and glioblastomas are the most common malignant brain tumor for adults. Both tumors are difficult to treat, and new therapies are urgently needed for these cancers.
Our laboratory uses large-scale genomic approaches to locate and analyze the genes that are mutated during brain cancer development. The technologies we now employ are capable of searching nearly all of a cancer genome for molecular alterations that can lead to cancer. The new molecular targets for cancer therapy are first located by l...arge scale gene expression analysis, whole-genome scans for altered gene copy number and high throughput sequence analysis of cancer genomes. The alterations we find are then studied in-depth to determine how they contribute to the development of cancer, whether it is promoting tumor growth, enhancing the ability for the cancer to invade into normal tissue, or preventing the various fail-safe mechanisms programmed into our cells.view more
The Mihaela Pertea Lab develops computational tools for RNA sequence analysis, gene finding, splice-site prediction and sequence-motif finding. Previous research projects led to the development of open-source software systems related to finding genes.
The Wheelan Lab focuses on DNA sequence analysis. Her team creates new techniques to mathematically analyze and biologically interpret high-throughput sequencing data and other high-dimensional biological datasets. The team examines spatial relationships across genomes and uses transposons to query genomic sequence/structure relationships.