- Metagenomics reveals sediment microbial community response to Deepwater Horizon oil spill.
- MIxS-BE: a MIxS extension defining a minimum information standard for sequence data from the built environment.
- Toward effective probiotics for autism and other neurodevelopmental disorders.
- Distinct microbial communities associated with buried soils in the Siberian tundra.
- Microbial terroir for wine grapes.
- Reconstructing the microbial diversity and function of pre-agricultural tallgrass prairie soils in the United States.
- Specification of type 2 innate lymphocytes by the transcriptional determinant Gfi1
- A Nondegenerate Code of Deleterious Variants in Mendelian Loci Contributes to Complex Disease Risk
IGSB/CBC Postdoctoral Fellow Aly Khan co-authored a study on a previously unknown interaction between gut bacteria and gender bias in autoimmune diseases. The study proposes a novel two-signal model, in which hormones and microbes together influence the incidence and severity of autoimmune diseases. The results were published in Cell Immunity and are highlighted in a featured article in the issue.
Congratulations to Ernst Lengyel, Hillary Kenny, Christopher Gomez, Marsha Rosner and Kay MacLeod, who have been awarded grants from the Chicago Biomedical Consortium in support of high throughput screening projects. They will be working with the Cellular Screening Center to develop their small molecule screens for drug discovery.
The 10-week Chicago Center for Systems Biology summer REU program kicked off this past Tuesday. Students will work in the labs of Kevin White, Michael Rust, Richard Carthew, Rick Morimoto and Ilya Ruvinsky, on projects ranging from circadian rhythms in cyanobacteria to Drosophila development.
Bionimbus, an advanced cloud-based computing environment, helped Megan McNerney discover tumor suppressor gene, CUX1, is frequently inactivated in acute myeloid leukemia. The principal investigator for Bionimbus is Robert Grossman.
Two major gifts will build momentum behind the University of Chicago’s leadership in biomedical computation by assembling experts in the field and furnishing them with the tools to use “big data” to understand and treat disease. Kevin White and Robert Grossman will lead the Pancreatic Cancer Genomic Medicine Initiative, which aims to improve care for patients with this disease using genomic and physiological data.
Barbara Stranger and colleagues take a systems approach, integrating GWAS, eQTL and protein interaction data, to demonstrate that loci associated with inflammatory disease susceptibility are enriched for genomic signatures of recent evolutionary selection. Their analyses suggest that natural selection for pathogen-defense mechanisms through human evolution may underlie modern susceptibility to inflammatory diseases.