Aug 12, 2023
Parse Evercode WT Mini v2.0.1 Protocol -- University of Minnesota TMCs
- Parse Biosciences1,
- Laura J Niedernhofer2,
- David A Bernlohr2
- 1Parse Biosciences, [email protected];
- 2University of Minnesota, Minneapolis, MN USA
- Cellular Senescence Network (SenNet) Method Development Community
Protocol Citation: Parse Biosciences, Laura J Niedernhofer, David A Bernlohr 2023. Parse Evercode WT Mini v2.0.1 Protocol -- University of Minnesota TMCs. protocols.io https://dx.doi.org/10.17504/protocols.io.eq2ly7kjelx9/v1
License: This is an open access protocol distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
Protocol status: Working
We use this protocol and it's working
Created: May 04, 2023
Last Modified: August 12, 2023
Protocol Integer ID: 81371
Keywords: Parse, Evercode, Fixed, scRNAseq, snRNAseq, sc/snRNAseq, UMN, UMinnesota, University of Minnesota, protocol for parse biosciences evercode, parse biosciences evercode, parse evercode wt, parse evercode, tagging 10k cell, parse, 10k cell, cell, mini wt
Funders Acknowledgements:
NIH
Grant ID: 1U54AG079754-01
NIH
Grant ID: 1U54AG07041-01
Abstract
Protocol for Parse Biosciences Evercode, MINI WT -- for trials/pilots, capable of tagging 10k cells total in up to 12 samples.
Version 2.0.1
Parse Evercode WT __MINI__ protocol (v2 (1).pdf