Functional Genomics Identifies Metabolic Vulnerabilities in Pancreatic Cancer [CRISPR Screen]
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ABSTRACT:
PROVIDER: PRJNA666653 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR12748038.fastq.gz | Fastqsanger.gz | |||
| SRR12748039.fastq.gz | Fastqsanger.gz | |||
| SRR12748040.fastq.gz | Fastqsanger.gz | |||
| SRR12748041.fastq.gz | Fastqsanger.gz | |||
| SRR12748042.fastq.gz | Fastqsanger.gz |
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Project description:Purpose: Modeling microenvironmental influences in cell culture has been challenging, and technical limitations have hampered the comprehensive study of tumor-specific metabolism in vivo. To systematically interrogate metabolic vulnerabilities in PDA, we employed parallel CRISPR-Cas9 genetic screens using both in vivo and in vitro model systems. Methods: A custom library of lentiviral vectors encoding ~18,000 sgRNAs targeting ~3,000 mouse metabolic genes and performed CRISPR-Cas9 screens using a C/57BL6 (B6) mouse pancreatic cancer cell line derived from a KrasG12D-driven autochthonous PDA model. After transduction and selection, parallel screens were performed by in vitro passage or tumor implantation subcutaneously into the flanks of syngeneic hosts. Genomic DNA was then harvaested in vitro after 7 passages (21 days in culture) and in vivo 21 days after implantation. Results: This work revealed striking overlap of in vivo metabolic dependencies with those in vitro, validating that standard 2D culture conditions are a reliable system for studying cancer metabolism. Moreover, we identified that intercellular nutrient sharing can mask cancer dependencies in pooled screening experiments, highlighting an important limitation of this approach to study tumor metabolism Conclusions:Our work demonstrates the power of genetic screening approaches to define the compendium of in vivo metabolic dependencies in PDA and highlights critical metabolic pathways that may have therapeutic utility.
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Project description:Pancreatic ductal adenocarcinoma (PDA) is a deadly cancer characterized by complex metabolic adaptations that promote survival in a severely hypoxic and nutrient-limited tumor microenvironment (TME). Modeling microenvironmental influences in cell culture has been challenging, and technical limitations have hampered the comprehensive study of tumor-specific metabolism in vivo. To systematically interrogate metabolic vulnerabilities in PDA, we employed parallel CRISPR-Cas9 screens using in vivo and in vitro systems. This work revealed striking overlap of in vivo metabolic dependencies with those in vitro. Moreover, we identified that intercellular nutrient sharing can mask dependencies in pooled screens, highlighting a limitation of this approach to study tumor metabolism. Furthermore, metabolic dependencies were similar between 2D and 3D culture, although 3D culture may better model vulnerabilities that influence certain oncogenic signaling pathways. Lastly, our work demonstrates the power of genetic screening approaches to define in vivo metabolic dependencies and pathways that may have therapeutic utility.
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Project description:Functional Genomics Identifies Metabolic Vulnerabilities in Pancreatic Cancer
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Project description:Purpose: Modeling microenvironmental influences in cell culture has been challenging, and technical limitations have hampered the comprehensive study of tumor-specific metabolism in vivo. To systematically interrogate metabolic vulnerabilities in PDA, we employed parallel CRISPR-Cas9 genetic screens using both in vivo and in vitro model systems. Methods: 2D culture collected 3 days after plating grown in DMEM, 10%fbs, 1%p/s. 3D culture collected 3 days after plating grown in DMEM, 10%fbs, 1% p/s, 5% matrigel. Tumors were collected from orthotopic injections collected at endpoint of experiment. Results: This work revealed striking overlap of in vivo metabolic dependencies with those in vitro, validating that standard 2D culture conditions are a reliable system for studying cancer metabolism. Moreover, we identified that intercellular nutrient sharing can mask cancer dependencies in pooled screening experiments, highlighting an important limitation of this approach to study tumor metabolism Conclusions: Our work demonstrates the power of genetic screening approaches to define the compendium of in vivo metabolic dependencies in PDA and highlights critical metabolic pathways that may have therapeutic utility.
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Project description:Functional Genomics Identifies Metabolic Vulnerabilities in Pancreatic Cancer [RNA-Seq]
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Project description:Cancer treatments targeting DNA repair deficiencies often encounter drug resistance, possibly due to alternative metabolic pathways that counteract the most damaging effects. To identify such alternative pathways, we screened for metabolic pathways exhibiting synthetic lethality with inhibition of the DNA damage response kinase Ataxia-telangiectasia-mutated (ATM) using a metabolism-centered Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)/Cas9 library. Our data revealed Kelch-like ECH-associated protein 1 (KEAP1) as a key factor involved in desensitizing cancer cells to ATM inhibition both in vitro and in vivo. Cells depleted of KEAP1 exhibited an aberrant overexpression of the cystine transporter SLC7A11, robustly accumulated cystine inducing disulfide stress, and became hypersensitive to ATM inhibition. These hallmarks were reversed in a reducing cellular environment indicating that disulfide stress was a crucial factor. In The Cancer Genome Atlas (TCGA) pan-cancer datasets, we found that ATM levels negatively correlated with KEAP1 levels across multiple solid malignancies. Together, our results unveil ATM and KEAP1 as new targetable vulnerabilities in solid tumors.
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Project description:In vivo genome-wide loss-of-function CRISPR screen identifies critical genes required for individual steps of the metastatic cascade in human CTC-derived xenografts, suggesting novel drivers and vulnerabilities of breast cancer metastasis.
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Project description:BackgroundPhosphatase and tensin homolog (PTEN) is one of the most frequently inactivated tumor suppressors in breast cancer. While PTEN itself is not considered a druggable target, PTEN synthetic-sick or synthetic-lethal (PTEN-SSL) genes are potential drug targets in PTEN-deficient breast cancers. Therefore, with the aim of identifying potential targets for precision breast cancer therapy, we sought to discover PTEN-SSL genes present in a broad spectrum of breast cancers.MethodsTo discover broad-spectrum PTEN-SSL genes in breast cancer, we used a multi-step approach that started with (1) a genome-wide short interfering RNA (siRNA) screen of ~ 21,000 genes in a pair of isogenic human mammary epithelial cell lines, followed by (2) a short hairpin RNA (shRNA) screen of ~ 1200 genes focused on hits from the first screen in a panel of 11 breast cancer cell lines; we then determined reproducibility of hits by (3) identification of overlaps between our results and reanalyzed data from 3 independent gene-essentiality screens, and finally, for selected candidate PTEN-SSL genes we (4) confirmed PTEN-SSL activity using either drug sensitivity experiments in a panel of 19 cell lines or mutual exclusivity analysis of publicly available pan-cancer somatic mutation data.ResultsThe screens (steps 1 and 2) and the reproducibility analysis (step 3) identified six candidate broad-spectrum PTEN-SSL genes (PIK3CB, ADAMTS20, AP1M2, HMMR, STK11, and NUAK1). PIK3CB was previously identified as PTEN-SSL, while the other five genes represent novel PTEN-SSL candidates. Confirmation studies (step 4) provided additional evidence that NUAK1 and STK11 have PTEN-SSL patterns of activity. Consistent with PTEN-SSL status, inhibition of the NUAK1 protein kinase by the small molecule drug HTH-01-015 selectively impaired viability in multiple PTEN-deficient breast cancer cell lines, while mutations affecting STK11 and PTEN were largely mutually exclusive across large pan-cancer data sets.ConclusionsSix genes showed PTEN-SSL patterns of activity in a large proportion of PTEN-deficient breast cancer cell lines and are potential specific vulnerabilities in PTEN-deficient breast cancer. Furthermore, the NUAK1 PTEN-SSL vulnerability identified by RNA interference techniques can be recapitulated and exploited using the small molecule kinase inhibitor HTH-01-015. Thus, NUAK1 inhibition may be an effective strategy for precision treatment of PTEN-deficient breast tumors.
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Project description:Acute myeloid leukemia (AML) is an aggressive cancer with a poor prognosis, for which mainstream treatments have not changed for decades. To identify additional therapeutic targets in AML, we optimize a genome-wide clustered regularly interspaced short palindromic repeats (CRISPR) screening platform and use it to identify genetic vulnerabilities in AML cells. We identify 492 AML-specific cell-essential genes, including several established therapeutic targets such as DOT1L, BCL2, and MEN1, and many other genes including clinically actionable candidates. We validate selected genes using genetic and pharmacological inhibition, and chose KAT2A as a candidate for downstream study. KAT2A inhibition demonstrated anti-AML activity by inducing myeloid differentiation and apoptosis, and suppressed the growth of primary human AMLs of diverse genotypes while sparing normal hemopoietic stem-progenitor cells. Our results propose that KAT2A inhibition should be investigated as a therapeutic strategy in AML and provide a large number of genetic vulnerabilities of this leukemia that can be pursued in downstream studies.
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