Plasma Proteomics: The Next Frontier of Biomarker Discovery in the Precision Medicine Era

The potential of gene editing as a therapeutic has come to fruition in the past several years, as clinical data from various studies has shown very positive results.

After watching this webinar, participants will be able to: understand the role of MMI in assessing the severity of aortic stenosis and myocardial damage; and learn the role of MMI to identify the best timing and the best option (surgical vs. transcatheter) for treatment of aortic stenosis.

The retina is the light-sensing part of the visual system and is composed of six neuron types and several non-neuronal cell types, with an estimated over 100 subtypes exist based on cell morphology, function, and molecular markers. Recent single-cell transcriptomic studies show that most cell subtypes in the mouse retina can be identified based on their transcriptome. Furthermore, cell subtypes defined by their transcriptome correlated well to results obtained from morphology and function. However, a major drawback of current single-cell transcriptome technologies is that they require the isolation of single cells, resulting in the loss of spatial information. Unfortunately, spatial information is critical for studying of many biological processes, such as characterizing neuron circuit, development, and degeneration.

Optimizing platforms for surgical specimen collection and deep human phenotyping was used to enhance protein biomarker identification using proteomic tools.