Published October 20, 2021 | Version v1
Dataset Open

Therapeutic genome screen in AsPC1

Authors/Creators

  • 1. University of Florida

Description

Pancreatic adenocarcinoma generally does not respond to our current therapeutic approaches of surgical resection, radiation and chemotherapy with an overall five-year survival of only 8%. In an effort to identify potential new therapeutic approaches for pancreatic cancer, we carried out a targeted synthetic lethal CRISPR screens in the pancreatic cell line AsPC1. A custom CRISPR knockout library, termed the Therapeutic Genome (RxG) Library, which targets genes for which a current drug already exists was utilized in the screens. We used the RxG library to identify genes and corresponding gene products which modulate the sensititive and resistance to three chemotherapeutics, Gemcitabine, 5-fluorouracil, and Niraparib in the AsPC1 cell line. This screen identified multiple gene products which potentiate sensitivity to these three chemotherapeutics, and in particular, BCL2L1 which encodes BCL-xL, was identified as a common genetic factor that when mutant, enhances sensitivity to all three drugs. A novel drug, DT2216, in Phase I clinical trials which targets BCL-xL for degradation was shown to enhance the effectiveness of Gemcitabine in additional pancreatic cancer cell lines as well as patient-derived xenograft models without enhanced systemic toxicity. This work supports a possible utility of combined Gemcitabine/DT2216 as a novel therapy for pancreatic cancer.

Notes

The data set contains the CRISPR screening data for AsPC1 exposed three chemotherapeutics, with a custom CRISPR Knockout library. The custom library targets 996 genes for which a currently identified drug was identified for the corresponding gene product. The complete description of this library is included in Methods and the data file, in .xls format, contains the corresponding sgRNAs for each gene.

The data file has separate tabs containing the therapeutic genome library sgRNAs, the primers used in the study, the raw counts for each sample, and the MaGeCK analysis for comparison of each treated sample with the T0 puro sample as described in methods.

Funding provided by: College of Medicine, University of Florida
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100008276
Award Number:

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