The role of the genomics core is to support the research projects carried out by the center by providing stateof- the-art transcription profiling capabilities over a wide range of sample types. The center will have access to a facility that has been in continuous operation for the past 8 years. It has benefited from a continuous investment on the part ofthe Baylor Health Care System and has at its disposal state ofthe art genomic analysis instruments and IT infrastructure. Data will be generated on the high-through and cost-effective lllumina BeadArray platform in a strictly controlled laboratory environment to insure the highest data quality and reproducibility. Other transcriptional profiling technologies are also available through this core, such as the NanoString nCounter platform and an ABI SOLID high throughput sequencer. A team of bioinformaticians has been integrated to the core in order to develop and maintain the data management infrastructure that constitutes the backbone of its operation. Bioinformatics and biostatistics support will also be made available to individual investigators through our data mining core. The genomics core at BUR has carried out projects at the interface between the fields of genomics and immunology, and gained significant expertise in profiling: a) blood of patients with a wide range of diseases;b) small cell numbers isolated from tissues or cell cultures;c) blood exposed in vitro to a wide range of innate stimuli. Cutting-edge molecular profiling assays for measurement of microRNA abundance or RNA-sequencing will also be available. The genomics core will work closely with the administrative, clinical sample and data mining cores. Support will be provided to all the projects. More specifically, ex-vivo blood profiles and in vitro immune responsiveness assays will be generated in the context of project 1, 3, 4 and 5. Transcriptional profiles will be generated from isolated cell populations for projects 1 and 2. RNA-seq and microRNA profiling assays will be carried out in the context of project 1.
Systems scale transcriptional profiling has become a mainstay for the study of the human immune system. The expertise involved in the preparation of samples, data acquisition and analysis is considerable and well beyond the capabilities of individual laboratories. Centralization is also driven by: a) the high cost of instrumentation and associated IT infrastructure, and b) higher reproducibility/comparability of the data.
|Hogstad, Brandon; Berres, Marie-Luise; Chakraborty, Rikhia et al. (2018) RAF/MEK/extracellular signal-related kinase pathway suppresses dendritic cell migration and traps dendritic cells in Langerhans cell histiocytosis lesions. J Exp Med 215:319-336|
|Cepika, Alma-Martina; Banchereau, Romain; Segura, Elodie et al. (2017) A multidimensional blood stimulation assay reveals immune alterations underlying systemic juvenile idiopathic arthritis. J Exp Med 214:3449-3466|
|Athale, Shruti; Banchereau, Romain; Thompson-Snipes, LuAnn et al. (2017) Influenza vaccines differentially regulate the interferon response in human dendritic cell subsets. Sci Transl Med 9:|
|Banchereau, Romain; Cepika, Alma-Martina; Banchereau, Jacques et al. (2017) Understanding Human Autoimmunity and Autoinflammation Through Transcriptomics. Annu Rev Immunol 35:337-370|
|Silvin, Aymeric; Yu, Chun I; Lahaye, Xavier et al. (2017) Constitutive resistance to viral infection in human CD141+ dendritic cells. Sci Immunol 2:|
|Schotsaert, Michael; García-Sastre, Adolfo (2017) Inactivated influenza virus vaccines: the future of TIV and QIV. Curr Opin Virol 23:102-106|
|HIPC-CHI Signatures Project Team; HIPC-I Consortium (2017) Multicohort analysis reveals baseline transcriptional predictors of influenza vaccination responses. Sci Immunol 2:|
|Bentebibel, Salah-Eddine; Khurana, Surender; Schmitt, Nathalie et al. (2016) ICOS(+)PD-1(+)CXCR3(+) T follicular helper cells contribute to the generation of high-avidity antibodies following influenza vaccination. Sci Rep 6:26494|
|Heinonen, Santtu; Jartti, Tuomas; Garcia, Carla et al. (2016) Rhinovirus Detection in Symptomatic and Asymptomatic Children: Value of Host Transcriptome Analysis. Am J Respir Crit Care Med 193:772-82|
|Sandoval, Carmen; Barrera, Aldo; Ferrés, Marcela et al. (2016) Infection in Health Personnel with High and Low Levels of Exposure in a Hospital Setting during the H1N1 2009 Influenza A Pandemic. PLoS One 11:e0147271|
Showing the most recent 10 out of 60 publications