Published May 25, 2018 | Version v1
Dataset Open

Optimizing methodology for the detection of H3K27me3 levels using flow cytometry

Creators

  • 1. Structural Genomics Consortium, Princess Margaret Cancer Centre, University Health Network
  • 2. Structural Genomics Consortium, University of Toronto
  • 3. Princess Margaret Cancer Centre, University Health Network, University of Toronto
  • 4. Structural Genomics Consortium, Princess Margaret Cancer Centre, University Health Network, University of Toronto

Description

Optimizing methods to detect H3K27m3 levels using flow cytometry in patient AML cells.

Notes

The SGC is a registered charity (number 1097737) that receives funds from AbbVie, Bayer Pharma AG, Boehringer Ingelheim, Canada Foundation for Innovation, Eshelman Institute for Innovation, Genome Canada through Ontario Genomics Institute [OGI-055], Innovative Medicines Initiative (EU/EFPIA) [ULTRA-DD grant no. 115766], Janssen, Merck KGaA, Darmstadt, Germany, MSD, Novartis Pharma AG, Ontario Ministry of Research, Innovation and Science (MRIS), Pfizer, São Paulo Research Foundation-FAPESP, Takeda, and Wellcome [106169/ZZ14/Z]. This project receives funding from the Leukemia and Lymphoma Society of Canada.

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5-17-18_H3K27me3_flow_optimization.pdf

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