Latest Videos

This lecture will use our experiences at The University of Chicago Medicine to highlight some of the common analytical, technical, and regulatory challenges that bioinformatics groups face when helping to set up oncology genomics clinical diagnostics practices.

Ping Tang, B.Med., Ph.D., University of Rochester Medical Center, discusses her work on tackling breast cancer.

Learn more about the AllinOneCycler.

This webinar presents a comparison of loss-of-function genetic screens performed with CRISPR versus RNAi technology.

In this webinar, we will present experimental approaches and real-life examples for creating transgenic animal models using CRISPR.

With the increasing use of nanotechnology in food and consumer products, there is a need for reliable detection and characterization methods for nanoparticles (NPs) in complex matrices. NPs often interact with each other or with their surroundings leading to aggregation, adhesion to surfaces or dissolution in dispersion solvents. Accurate and precise characterization of metrics such as size, shape, particle mass and number concentration therefore remains a challenging analytical task. Asymmetric flow field flow fractionation (AF4) hyphenated with inductively coupled plasma mass spectrometry (ICP-MS) is a powerful technique for the detection and characterization of inorganic NPs in complex matrices. In order to acquire accurate data the AF4 separation method and settings must be optimized for each new sample matrix and analyte NP combination. Furthermore, additional information obtained by single particle (sp) ICP-MS analysis of collected fractions or an imaging method such as transmission electron microscopy (TEM) are necessary for trouble shooting and for independent verification of results. spICP-MS as stand-alone technique is a powerful screening method for many inorganic NPs. A number of examples where AF4-ICP-MS and single particle ICP-MS were applied for the detection and characterization of NPs in food and biological matrices will be presented including: • Silver NPs in chicken meat • Silicon dioxide NPs in tomato soup • Aluminum-containing NPs in noodles • Gold NPs in cells

The proteome is the most functional component encoded for in the genome. Advances in proteomic technologies allow comprehensive profiling of of signaling pathways, precise expression of therapeutic targets in tissues and cellular subcompartments, and of metabolomic features that determine likelihood of therapeutic response. Moreover the current paradigm shift in cancer therapy with dramatic and durable responses to antibody and checkpoint therapeutics that trascend tumor genomic profiles further emphasize opportunities to identify novel targets and tailor treatment based on their expression patterns. The potential for personalizing cancer treatment based on proteomic and metabolomic profiles will be presented for epithelial type tumors including lung and pancreatic cancer.