Subcellular spatial and contextual transcriptomics for tissue atlasing, pathway analysis, biomarker validation and beyond

October 5th, 2022 at 12 PM EDT, Virtual

About the webinar:

The ability to analyze complex gene expression patterns has improved our understanding of functional, integrated biology with every decade providing another quantal leap. In 2020 Nature named Spatial Transcriptomics as their method of the year, an honor previously bestowed upon single-cell sequencing. 

What if you could generate exquisite, sub-cellular, spatial, multiplexed data allowing for the analysis of millions of transcripts whilst maintaining tissue integrity? Molecular Cartography is a pioneering technology based on the ‘Gold Standard’ of smFISH, which makes it possible to digitally quantify the copy number of each target transcript, regardless of species, and each transcript’s spatial location with 3-dimensional nanometer-scale resolution. This new technological paradigm is rapidly progressing into practical applications. We will present several potential applications along with supporting data for tissue atlasing, developmental biology, pathway deconvolution, biomarker identification and theoretical application for monitoring therapeutic efficacy and disease progression, in clinical and non-clinical samples.

As an associated partner of The University of North Carolina at Chapel Hill, Resolve Biosciences is offering a Spatially Resolved Transcriptomics Early Access Grant, which will award two Molecular Cartography RNA profiling grants, of 8 samples each, to scientists affiliated with The University of North Carolina Chapel Hill - who propose projects that can advance their field of study. Grant awards will be selected based on technical feasibility and the potential to accelerate a specific area of research. Join this webinar to learn how you can apply for this opportunity.

Presented by Mingjie Tong, PhD, Customer Technology Advisor at Resolve Biosciences

Hosted by Adam Bell, Market Development Manager, Eastern US at Resolve Biosciences