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Genes, networks and variations of the immune response

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Air date: Wednesday, April 15, 2015, 4:15:00 PM
Time displayed is Eastern Time, Washington DC Local
Views: Total views: 340 (56 Live, 284 On-demand)
Category: Immunology
Runtime: 01:02:05
Description: Nir Hacohen is currently Associate Professor of Medicine at Harvard/MGH and Senior Associate Member of the Broad Institute of Harvard and MIT. He earned a Ph.D. in biochemistry from Stanford and was trained in physics, mathematics and computer science from his undergraduate studies at Harvard University. He joined Harvard/MGH as an assistant professor in 2003 after leading his own lab as an independent Whitehead Fellow at the Whitehead Institute. His honors include the NIH Director’s New Innovator Award, the Sandler Memorial first prize PhD thesis award, and a Helen Hay Whitney Fellowship with David Baltimore. Nir is an immunologist and geneticist whose lab takes a systems-wide approach to reconstruct intracellular immune circuits, explain variation in immunity across the human population and decipher genetic and non-genetic factors driving disease. He has been studying what drives spontaneous human immunity against cancer, with an eye towards developing personalized therapies based on computational genomics. For example, using RNAi, his group has identified key host pathways supporting or restricting influenza infection and developed practical approaches for gene and network discovery in mammalian cells. More recently, his group is applying systems biology methods to analyze innate immune responses in large human cohorts to determine the genetic basis for the natural variation in these responses (e.g., Lee et al., Science 2014). They are also developing a novel neoantigen tumor vaccine in patients (e.g., Rajasagi et al., Blood 2014), and by utilizing publicly available large-scale TCGA tumor data sets, they have been analyzing the genetic mechanisms underlying tumor immunity (Rooney et al., Cell 2015).

For more information go to http://sigs.nih.gov/immunology/Pages/default.aspx
NLM Title: Genes, networks, and variations of the immune response / Nir Hacohen.
Author: Hacochen, Nir.
National Institutes of Health (U.S.),
Publisher:
Abstract: (CIT): Nir Hacohen is currently Associate Professor of Medicine at Harvard/MGH and Senior Associate Member of the Broad Institute of Harvard and MIT. He earned a Ph.D. in biochemistry from Stanford and was trained in physics, mathematics and computer science from his undergraduate studies at Harvard University. He joined Harvard/MGH as an assistant professor in 2003 after leading his own lab as an independent Whitehead Fellow at the Whitehead Institute. His honors include the NIH Director"s New Innovator Award, the Sandler Memorial first prize PhD thesis award, and a Helen Hay Whitney Fellowship with David Baltimore. Nir is an immunologist and geneticist whose lab takes a systems-wide approach to reconstruct intracellular immune circuits, explain variation in immunity across the human population and decipher genetic and non-genetic factors driving disease. He has been studying what drives spontaneous human immunity against cancer, with an eye towards developing personalized therapies based on computational genomics. For example, using RNAi, his group has identified key host pathways supporting or restricting influenza infection and developed practical approaches for gene and network discovery in mammalian cells. More recently, his group is applying systems biology methods to analyze innate immune responses in large human cohorts to determine the genetic basis for the natural variation in these responses (e.g., Lee et al., Science 2014). They are also developing a novel neoantigen tumor vaccine in patients (e.g., Rajasagi et al., Blood 2014), and by utilizing publicly available large-scale TCGA tumor data sets, they have been analyzing the genetic mechanisms underlying tumor immunity (Rooney et al., Cell 2015).
Subjects: Alleles
Immunity--genetics
Publication Types: Lecture
Webcast
 
NLM Classification: QW 568
NLM ID: 101658193
CIT Live ID: 16130
Permanent link: https://videocast.nih.gov/watch=16130

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