The goal of the Yale Center for Genome Analysis (YCGA) is to rapidly and cost-effectively bring state-of the- art genomic technologies within reach of largest possible number of cancer investigators. YCGA occupies 7,000 ft^ of newly constructed, custom-designed laboratory space and is well equipped with several microarray (Affymetrix, lllumina, Sequenom and NimbleGen) and high throughput sequencing (10 lllumina hiiSeqs, one each of PacBio RS, MiSeq and Ion Torrent) platforms. Sequencing operation is supported by 1000 CPU/core cluster and 2 PB data storage. All aspects of sequence data generation, including sample collection, library preparation, sequence data and billing are tracked using WikiLIMS system which is an online, flexible, scalable and password-protected database. YCGA staff from microarray, sequencing and bioinformatics sections will provide an extremely expert and highly dedicated team that will ensure the success of research goals of cancer investigators. The YCGA provides >30 genomic services including: 1) gene expression and whole transcriptome analysis, 2) SNP genotyping and copy number variation, 3) whole-exome and whole-genome sequence analysis, 4) analysis of formalin-fixed paraffin embedded tissue, 5) methylation analysis, 6) miRNA analysis and discovery and 7) chromatin immunoprecipitation to study protein-DNA interactions. Together, the microarray and HT sequencing technologies of YCGA offer comprehensive support to study genetic events in cancer, which has the potential to aid in identification of genetic and biochemical causes of the disease, develop better diagnostic methods, and improve therapeutic outcomes and patient care. Strengths of this application include the extensive expertise, infrastructure, and instrumentation in the YCGA;the experience of PI in overseeing the recent U54-suported Yale Centre for Mendelian Disorder;a strong publication record and the experience of YCGA at providing state-of-the-art microarray, HT sequencing, biostatistical/bioinformatics and other technologies on a service charge basis to several Yale and non-Yale investigators. In addition to providing genomic services, the YCGA staff will consult as needed on experimental design, data interpretation, manuscript preparation, and grant application preparation, and will provide training for primary data analysis to YCC members. During FY 2012, 72 YCC investigators using YCGA Resource services accounted for 49% of the 20,148 provided services.
The Yale Center for Genome Analysis provides cancer investigators a state-of-the-art centralized facility required for carrying out large-scale genomic analyses that would not otherwise be possible in their own laboratories. The genomic data generated at the YCGA is helping cancer scientists to better understand the genetic basis of cancer that will ultimately lead to new approaches for cancer treatment and prevention.
|Gupta, Swati; Mani, Navin R; Carvajal-Hausdorf, Daniel E et al. (2018) Macrodissection prior to closed system RT-qPCR is not necessary for estrogen receptor and HER2 concordance with IHC/FISH in breast cancer. Lab Invest 98:1076-1083|
|Bellone, Stefania; Buza, Natalia; Choi, Jungmin et al. (2018) Exceptional Response to Pembrolizumab in a Metastatic, Chemotherapy/Radiation-Resistant Ovarian Cancer Patient Harboring a PD-L1-Genetic Rearrangement. Clin Cancer Res 24:3282-3291|
|Altan, Mehmet; Kidwell, Kelley M; Pelekanou, Vasiliki et al. (2018) Association of B7-H4, PD-L1, and tumor infiltrating lymphocytes with outcomes in breast cancer. NPJ Breast Cancer 4:40|
|Kim, Tae Kon; Herbst, Roy S; Chen, Lieping (2018) Defining and Understanding Adaptive Resistance in Cancer Immunotherapy. Trends Immunol 39:624-631|
|Goldberg, Sarah B; Patel, Abhijit A (2018) Monitoring immunotherapy outcomes with circulating tumor DNA. Immunotherapy 10:1023-1025|
|Wang, Shi-Yi; Long, Jessica B; Killelea, Brigid K et al. (2018) Associations of preoperative breast magnetic resonance imaging with subsequent mastectomy and breast cancer mortality. Breast Cancer Res Treat 172:453-461|
|Bonazzoli, Elena; Predolini, Federica; Cocco, Emiliano et al. (2018) Inhibition of BET Bromodomain Proteins with GS-5829 and GS-626510 in Uterine Serous Carcinoma, a Biologically Aggressive Variant of Endometrial Cancer. Clin Cancer Res 24:4845-4853|
|Villarroel-Espindola, Franz; Yu, Xiaoqing; Datar, Ila et al. (2018) Spatially Resolved and Quantitative Analysis of VISTA/PD-1H as a Novel Immunotherapy Target in Human Non-Small Cell Lung Cancer. Clin Cancer Res 24:1562-1573|
|Wadia, Roxanne J; Stolar, Marilyn; Grens, Clarice et al. (2018) The prevention of chemotherapy induced peripheral neuropathy by concurrent treatment with drugs used for bipolar disease: a retrospective chart analysis in human cancer patients. Oncotarget 9:7322-7331|
|De Feyter, Henk M; Behar, Kevin L; Corbin, Zachary A et al. (2018) Deuterium metabolic imaging (DMI) for MRI-based 3D mapping of metabolism in vivo. Sci Adv 4:eaat7314|
Showing the most recent 10 out of 675 publications