scholarly journals Genome-wide synthetic lethal screen unveils novel CAIX-NFS1/xCT axis as a targetable vulnerability in hypoxic solid tumors

2021 ◽  
Vol 7 (35) ◽  
Author(s):  
Shawn C. Chafe ◽  
Frederick S. Vizeacoumar ◽  
Geetha Venkateswaran ◽  
Oksana Nemirovsky ◽  
Shannon Awrey ◽  
...  
PLoS ONE ◽  
2017 ◽  
Vol 12 (7) ◽  
pp. e0179726 ◽  
Author(s):  
Nathan O. Siemers ◽  
James L. Holloway ◽  
Han Chang ◽  
Scott D. Chasalow ◽  
Petra B. Ross-MacDonald ◽  
...  

2014 ◽  
Vol 42 (15) ◽  
pp. 9838-9853 ◽  
Author(s):  
Saeed Kaboli ◽  
Takuya Yamakawa ◽  
Keisuke Sunada ◽  
Tao Takagaki ◽  
Yu Sasano ◽  
...  

Abstract Despite systematic approaches to mapping networks of genetic interactions in Saccharomyces cerevisiae, exploration of genetic interactions on a genome-wide scale has been limited. The S. cerevisiae haploid genome has 110 regions that are longer than 10 kb but harbor only non-essential genes. Here, we attempted to delete these regions by PCR-mediated chromosomal deletion technology (PCD), which enables chromosomal segments to be deleted by a one-step transformation. Thirty-three of the 110 regions could be deleted, but the remaining 77 regions could not. To determine whether the 77 undeletable regions are essential, we successfully converted 67 of them to mini-chromosomes marked with URA3 using PCR-mediated chromosome splitting technology and conducted a mitotic loss assay of the mini-chromosomes. Fifty-six of the 67 regions were found to be essential for cell growth, and 49 of these carried co-lethal gene pair(s) that were not previously been detected by synthetic genetic array analysis. This result implies that regions harboring only non-essential genes contain unidentified synthetic lethal combinations at an unexpectedly high frequency, revealing a novel landscape of genetic interactions in the S. cerevisiae genome. Furthermore, this study indicates that segmental deletion might be exploited for not only revealing genome function but also breeding stress-tolerant strains.


2020 ◽  
Vol 1728 ◽  
pp. 146601 ◽  
Author(s):  
Noori Chai ◽  
Michael S. Haney ◽  
Julien Couthouis ◽  
David W. Morgens ◽  
Alyssa Benjamin ◽  
...  

2020 ◽  
Author(s):  
Mostapha Benhenda

AbstractChimeric antigen receptor (CAR) T cells still have limited effects in cancer, and especially in solid tumors, due to T cell dysfunction and exhaustion. CAR T cells overexpressing c-Jun (JUN CAR T cells) have been introduced to solve this problem. In this paper, we analyze JUN CAR T cells scRNA-seq data in solid tumors, by applying a genome-wide signature of T cell dysfunction, TID. This signature comes from the bulk RNA-seq signature TIDE, introduced to predict immune checkpoint inhibitor response. Our analysis confirms that on average, JUN CAR T cells are less dysfunctional than non-JUN CAR T cells. However, it also shows heterogeneity within JUN CAR T cells, which brings uncertainty about possible tumor resistance. We conclude that genome-wide dysfunction signature TID helps de-risking CAR T cell therapy for solid tumors.


Author(s):  
Merve Dede ◽  
Megan McLaughlin ◽  
Eiru Kim ◽  
Traver Hart

AbstractMajor efforts on pooled library CRISPR knockout screening across hundreds of cell lines have identified genes whose disruption leads to fitness defects, a critical step in identifying candidate cancer targets. However, the number of essential genes detected from these monogenic knockout screens are very low compared to the number of constitutively expressed genes in a cell, raising the question of why there are so few essential genes. Through a systematic analysis of screen data in cancer cell lines generated by the Cancer Dependency Map, we observed that half of all constitutively-expressed genes are never hits in any CRISPR screen, and that these never-essentials are highly enriched for paralogs. We investigated paralog buffering through systematic dual-gene CRISPR knockout screening by testing algorithmically defined ~400 candidate paralog pairs with the enCas12a multiplex knockout system in three cell lines. We observed 24 synthetic lethal paralog pairs which have escaped detection by monogenic knockout screens at stringent thresholds. Nineteen of 24 (79%) synthetic lethal interactions were present in at least two out of three cell lines and 14 of 24 (58%) were present in all three cell lines tested, including alternate subunits of stable protein complexes as well as functionally redundant enzymes. Together these observations strongly suggest that paralogs represent a targetable set of genetic dependencies that are systematically under-represented among cell-essential genes due to genetic buffering in monogenic CRISPR-based mammalian functional genomics approaches.


Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 2758-2758
Author(s):  
Abdelrahman H Elsayed ◽  
Huiyun Wu ◽  
Xueyuan Cao ◽  
Soheil Meshinchi ◽  
Raul Ribeiro ◽  
...  

Abstract Acute myeloid leukemia (AML) treatment response remains poorly understood. Although multiple studies have focused on understanding the transcriptomic and epigenetic landscape of AML, a genome-wide analysis of SNPs in pediatric AML has not yet been investigated in depth. Thus, we sought to identify genetic variants predictive of AML response, relapse, and survival in pediatric AML patients. For this study, we generated genome-wide SNP data patients (n=160) treated on the multicenter AML02 clinical trial (ClinicalTrials.gov Identifier: NCT00136084) using Infinium Omni 2.5M Exome Beadchip. Standard GWAS QC procedure was followed in order to remove SNPs with call rate < 95%, monomorphic SNPs, SNPs with MAF<5% and samples with call rate<95%. Following QC, a risk-adjusted multi-outcome integrative GWAS was performed to identify SNPs associated with minimal residual disease (MRD) following induction I, relapse-free survival (RFS) and overall survival (OS). We performed a risk-adjusted analysis to identify 21 SNPs mapping to 14 genes at an endpoint-integrative p value <2x10-5. Table 1 provides list of genes with SNPs significantly associated with MRD, RFS, OS as well as in the integrated analysis at <2x10-5. Of interest multiple SNPs in DICER1, which is a key enzyme required for the biogenesis of microRNAs and small interfering RNAs were significantly associated with clinical outcome with promise integrated analysis at p = 0.000011, supported by associations with MRD, RFS and OS at p <0.002 (Figure 1A). DICER1 is over-expressed in AML with its expression under the influence of hematopoietic transcript factor, GATA1. RAI14, a retinoic acid induced 14 is a prognostic marker of poor response in solid tumors and has been associated with development of drug resistance. Multiple SNPs in RAI14 were significantly associated with clinical endpoints. Figure 1B shows RAI14 SNP rs336474 with C allele significantly associated with better RFS (p= 0.027) and OS (p=0.007), with an integrated p= 0.000004. SNP in upstream of RBFOX1, a RNA binding fox-1 homolog 1 and within intron of GRIN2A, glutamate ionotropic receptor NMDA type subunit 2A were significantly associated with MRD, RFS and OS (all p<0.005) and integrated p =0.00001 (Figure 1C). SNPs within genes involved in pyrimidine metabolism such as UPP2, a uridine phosphorylase; tumor suppressor genes such as JPH3, which codes for junctophilin; LILRB4 which encodes for a Leukocyte Immunoglobulin Like Receptor B4, that regulates inflammatory responses and cytotoxicity; HACE1 a potential tumor suppressor involved in the solid tumors pathophysiology; ANK2, an ankyrin family protein with role in cell proliferation and motility; BIRC8, which is implicated in CML disease progression etc. In conclusion, our results demonstrate significance of genome-wide investigation of SNPs to identify novel and clinically relevant SNPs of prognostic significance in childhood AML. We will present the in depth results of our integrated GWAS analysis as well as validation in independent patient cohorts. In summary, our results constitute one of the first integrated GWAS analyses to identify SNPs of prognostic significance in pediatric AML. Acknowledgments: We are thankful for funding from NIH R01-CA139246 and ALSAC. Disclosures No relevant conflicts of interest to declare.


2019 ◽  
Author(s):  
Noori Chai ◽  
Michael S. Haney ◽  
Julien Couthouis ◽  
David W. Morgens ◽  
Alyssa Benjamin ◽  
...  

AbstractMutations in the C9ORF72 gene are the most common cause of amyotrophic lateral sclerosis (ALS). Both toxic gain of function and loss of function pathogenic mechanisms have been proposed. Accruing evidence from mouse knockout studies point to a role for C9ORF72 as a regulator of immune function. To provide further insight into its cellular function, we performed a genome-wide synthetic lethal CRISPR screen in human myeloid cells lacking C9ORF72. We discovered a strong synthetic lethal genetic interaction between C9ORF72 and FIS1, which encodes a mitochondrial membrane protein involved in mitochondrial fission and mitophagy. Mass spectrometry experiments revealed that in C9ORF72 knockout cells, FIS1 strongly bound to a class of immune regulators that activate the receptor for advanced glycation end (RAGE) products and trigger inflammatory cascades. These findings present a novel genetic interactor for C9ORF72 and suggest a compensatory role for FIS1 in suppressing inflammatory signaling in the absence of C9ORF72.


Cancers ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3143
Author(s):  
Chaitra Rao ◽  
Dianna H. Huisman ◽  
Heidi M. Vieira ◽  
Danielle E. Frodyma ◽  
Beth K. Neilsen ◽  
...  

Genome-wide, loss-of-function screening can be used to identify novel vulnerabilities upon which specific tumor cells depend for survival. Functional Signature Ontology (FUSION) is a gene expression-based high-throughput screening (GE-HTS) method that allows researchers to identify functionally similar proteins, small molecules, and microRNA mimics, revealing novel therapeutic targets. FUSION uses cell-based high-throughput screening and computational analysis to match gene expression signatures produced by natural products to those produced by small interfering RNA (siRNA) and synthetic microRNA libraries to identify putative protein targets and mechanisms of action (MoA) for several previously undescribed natural products. We have used FUSION to screen for functional analogues to Kinase suppressor of Ras 1 (KSR1), a scaffold protein downstream of Ras in the Raf-MEK-ERK kinase cascade, and biologically validated several proteins with functional similarity to KSR1. FUSION incorporates bioinformatics analysis that may offer higher resolution of the endpoint readout than other screens which utilize Boolean outputs regarding a single pathway activation (i.e., synthetic lethal and cell proliferation). Challenges associated with FUSION and other high-content genome-wide screens include variation, batch effects, and controlling for potential off-target effects. In this review, we discuss the efficacy of FUSION to identify novel inhibitors and oncogene-induced changes that may be cancer cell-specific as well as several potential pitfalls within FUSION and best practices to avoid them.


2020 ◽  
Vol 11 (7) ◽  
Author(s):  
Jing Zhang ◽  
Li Jing ◽  
Subee Tan ◽  
Er-Ming Zeng ◽  
Yingbo Lin ◽  
...  

Abstract Glioblastoma multiforme (GBM) is the most malignant primary brain tumor and has the highest mortality rate among cancers and high resistance to radiation and cytotoxic chemotherapy. Although some targeted therapies can partially inhibit oncogenic mutation-driven proliferation of GBM cells, therapies harnessing synthetic lethality are ‘coincidental’ treatments with high effectiveness in cancers with gene mutations, such as GBM, which frequently exhibits DNA-PKcs mutation. By implementing a highly efficient high-throughput screening (HTS) platform using an in-house-constructed genome-wide human microRNA inhibitor library, we demonstrated that miR-1193 inhibition sensitized GBM tumor cells with DNA-PKcs deficiency. Furthermore, we found that miR-1193 directly targets YY1AP1, leading to subsequent inhibition of FEN1, an important factor in DNA damage repair. Inhibition of miR-1193 resulted in accumulation of DNA double-strand breaks and thus increased genomic instability. RPA-coated ssDNA structures enhanced ATR checkpoint kinase activity, subsequently activating the CHK1/p53/apoptosis axis. These data provide a preclinical theory for the application of miR-1193 inhibition as a potential synthetic lethal approach targeting GBM cancer cells with DNA-PKcs deficiency.


Sign in / Sign up

Export Citation Format

Share Document