Lunch and Learn: Scalable, Accessible Single Cell with Parse Biosciences’ Evercode

See how Evercode is being used to investigate autoimmune hemolytic anemia in a canine model

Single-cell RNA sequencing has become an essential tool in today’s genomics research. Parse Biosciences’ Evercode technology offers a scalable combinatorial barcoding approach without the need for specialized instrumentation. Combined with Trailmaker, Parse’s cloud-based data analysis platform, researchers can move from sample preparation through downstream analysis in an accessible end-to-end workflow.

Please join Parse for a lunchtime seminar featuring Steven Friedenberg from the College of Veterinary Medicine, who will share his experience using Evercode in a pilot study of autoimmune hemolytic anemia in dogs as a model for the disease in humans. The presentation will highlight findings from the pilot and plans for future studies, including increasing cohort size and profiling more cells per animal to better capture rare lymphocyte populations.

Agenda:

Overview of Parse technology, kit configurations, and applications, including Whole Transcriptome, TCR/BCR profiling, CRISPR Detect, and FFPE
Brief overview of Trailmaker
Researcher presentation
Questions and discussion

Date: Friday, October 9
Time: 12:00 – 1:00 PM
Location: Nils Hasselmo Hall (NHH), Room 2-101
Presenters: Chuck Dokken, Parse Technical Sales Manager, and Steven Friedenberg, Associate Professor, Emergency and Critical Care, Veterinary Clinical Sciences

Registration is required to ensure an accurate lunch count. Hosted by the UMGC and the UMN Parse rep, Chuck Dokken ([email protected]).