Project description:<p>The Tumor Sequencing Project (TSP) Consortium is a collaboration among participants at the Baylor College of Medicine Human Genome
Sequencing Center, the Broad Institute Genome Sequencing Platform, the Dana Farber Cancer Institute, the Memorial Sloan-Kettering Cancer
Center, the Genome Sequencing Center and Siteman Cancer Center at Washington University, the M.D. Anderson Cancer Center and the
University of Michigan Medical Center. The TSP Part A will pilot approaches to large-scale identification of genomic changes in tumors
by sequencing the exonic regions of 623 genes in 188 specimens of adenocarcinoma of the lung, as well as using high density SNP
genotyping arrays for high resolution identification of changes in chromosomal copy number.</p>
<p>The TSP Part B will pilot approaches to tumor characterization of lung adenocarcinoma samples using next-generation sequencing
technologies and benchmark those results against Part A data generated with ABI3730 instruments.</p>
Project description:<p>The Tumor Sequencing Project (TSP) Consortium is a collaboration among participants at the Baylor College of Medicine Human Genome
Sequencing Center, the Broad Institute Genome Sequencing Platform, the Dana Farber Cancer Institute, the Memorial Sloan-Kettering Cancer
Center, the Genome Sequencing Center and Siteman Cancer Center at Washington University, the M.D. Anderson Cancer Center and the
University of Michigan Medical Center. The TSP Part A will pilot approaches to large-scale identification of genomic changes in tumors
by sequencing the exonic regions of 623 genes in 188 specimens of adenocarcinoma of the lung, as well as using high density SNP
genotyping arrays for high resolution identification of changes in chromosomal copy number.</p>
<p>The TSP Part B will pilot approaches to tumor characterization of lung adenocarcinoma samples using next-generation sequencing
technologies and benchmark those results against Part A data generated with ABI3730 instruments.</p>
Project description:Human T-lymphotropic virus type 1 (HTLV-1)-associated myelopathy/tropical spastic paraparesis (HAM/TSP) is an inflammatory neurodegenerative disease that affects motor, urinary, intestinal, and sensory functions. Typically, HAM/TSP is slowly progressive, but it may vary from limited motor disability after decades (very slow progression) to loss of motor function in a few years from disease onset (rapid). In this study, we aimed to identify prognostic biomarkers for HAM/TSP to support patient management. Thus, proteomic analysis of the cerebrospinal fluid (CSF) was performed with samples from HTLV-1 asymptomatic carriers (AC) (n=13) and HAM/TSP patients (n=21) with rapid, typical, and very slow progression using quantitative label-free liquid chromatography/tandem mass spectrometry. Enrichment analyses were also carried out to identify key biological processes associated with distinct neurological conditions in HTLV-1 infection. Candidate biomarkers were validated by ELISA in paired CSF and serum samples, and samples from HTLV-1-seronegative individuals (n=9) were used as controls. CSF analysis identified 602 proteins. Leukocyte/cell activation, immune response processes and neurodegeneration pathways were enriched in rapid progressors. Conversely, HTLV-1 AC and HAM/TSP patients with typical and very slow progression had enriched processes for nervous system development. Differential expression analysis showed that soluble vascular cell adhesion molecule 1 (sVCAM-1), chitotriosidase 1 (CHIT1), and cathepsin C (CTSC) were upregulated in HAM/TSP. However, only CHIT1 was significantly elevated after validation, particularly in HAM/TSP rapid progressors. In contrast, none of these biomarkers were altered in serum. Additionally, CSF CHIT1 levels in HAM/TSP patients positively correlated with the speed of HAM/TSP progression, defined as points in the IPEC-2 HAM/TSP disability scale per year of disease, and with CSF levels of phosphorylated neurofilament heavy chain, neopterin, CXCL5, CXCL10, and CXCL11. In conclusion, higher CSF levels of CHIT1 were associated with HAM/TSP rapid progression and correlated with other biomarkers of neuroinflammation and neurodegeneration. Therefore, we propose CHIT1 as a surrogate CSF biomarker to identify HAM/TSP patients with a worse prognosis.
Project description:We examined the gene expression profiles of CD4+ T-cells isolated from 7 ATL, 12 HAM/TSP and 11 AC (asymptomatic carriers) to identify gene signatures that may be characteristic for these particular diseases. Using gene expression arrays, we identified ~ 1039 immune-related genes that were differentially expressed in CD4+ T cells; using stringent exclusion criteria, a 122 gene signature could be divided into 3 groups: I) ATL-specific; II) common; and III) HAM/TSP-specific markers To better understand the genetic differences between HTLV-1-associated diseases, we examined the gene expression profile of T lymphocytes from patients either suffering from ATL, HAM/TSP or carrying the HTLV-1 virus without any symptoms. Microarray experiments were performed using the human ImmuneArray cDNA array (UHN Microarray Center, University of Toronto). We used the Stratagene Universal Control, labelled Cy5 for all samples in a competitive hybridization.
Project description:We examined the gene expression profiles of CD4+ T-cells isolated from 7 ATL, 12 HAM/TSP and 11 AC (asymptomatic carriers) to identify gene signatures that may be characteristic for these particular diseases. Using gene expression arrays, we identified ~ 1039 immune-related genes that were differentially expressed in CD4+ T cells; using stringent exclusion criteria, a 122 gene signature could be divided into 3 groups: I) ATL-specific; II) common; and III) HAM/TSP-specific markers
Project description:This is a continuation of the Chordoma Sequencing Project. All cancers arise due to somatically acquired abnormalities in DNA sequence. Systematic sequencing of cancer genomes allows acquisition of complete catalogues of all classes of somatic mutation present in cancer. These mutation catalogues will allow identification of the somatically mutated cancer genes that are operative and characterise patterns of somatic mutation that may reflect previous exogenous and endogenous mutagenic exposures. In this application, we aim to perform whole genome sequencing on 10 chordoma matched genome pairs. RNA Sequencing/Methylation and SNP6 and an additional sequencing of three cancer cell lines will be added to this work.