Retinoblastoma is a pediatric eye tumor in which bi-allelic inactivation of the Retinoblastoma 1 (RB1) gene is the initiating genetic lesion. Although recently curative rates of retinoblastoma have increased, there are at this time no molecular targeted therapies available. This is, in part, due to the lack of highly penetrant and rapid retinoblastoma animal models that facilitate rapid identification of targets that allow therapeutic intervention. Different mouse models are available, all based on genetic deactivation of both Rb1 and Retinoblastoma-like 1 (Rbl1), and each showing different kinetics of retinoblastoma development. Here, we show by CRISPR/Cas9 techniques that similar to the mouse, neither rb1 nor rbl1 single mosaic mutant Xenopus tropicalis develop tumors, whereas rb1/rbl1 double mosaic mutant tadpoles rapidly develop retinoblastoma. Moreover, occasionally presence of pinealoblastoma (trilateral retinoblastoma) was detected. We thus present the first CRISPR/Cas9 mediated cancer model in Xenopus tropicalis and the first genuine genetic non-mammalian retinoblastoma model. The rapid kinetics of our model paves the way for use as a pre-clinical model. Additionally, this retinoblastoma model provides unique possibilities for fast elucidation of novel drug targets by triple multiplex CRISPR/Cas9 gRNA injections (rb1 + rbl1 + modifier gene) in order to address the clinically unmet need of targeted retinoblastoma therapy.
Truncating mutations in the tumor suppressor gene adenomatous polyposis coli (APC) are the initiating step in the vast majority of sporadic colorectal cancers, and they underlie familial adenomatous polyposis (FAP) syndromes. Modeling of APC- driven tumor formation in the mouse has contributed substantially to our mechanistic understanding of the associated disease, but additional models are needed to explore therapeutic opportunities and overcome current limitations of mouse models. We report on a novel and penetrant genetic cancer model in Xenopus tropicalis, an aquatic tetrapod vertebrate with external development, diploid genome and short life cycle. Tadpoles and froglets derived from embryos injected with TAL effector nucleases targeting the apc gene rapidly developed intestinal hyperplasia and other neoplasms observed in FAP patients, including desmoid tumors and medulloblastomas. Bi-allelic apc mutations causing frame shifts were detected in the tumors, which displayed activation of the Wnt/β-catenin pathway and showed increased cellular proliferation. We further demonstrate that simultaneous double bi-allelic mutation of apc and a non-relevant gene is possible in the neoplasias, opening the door for identification and characterization of effector or modifier genes in tumors expressing truncated apc. Our results demonstrate the power of modeling human cancer in Xenopus tropicalis using mosaic TALEN-mediated bi-allelic gene disruption.
The targeted nuclease revolution (TALENs, CRISPR/Cas9) now allows Xenopus researchers to rapidly generate custom on-demand genetic knockout models. These novel methods to perform reverse genetics are unprecedented and are fueling a wide array of human disease models within the aquatic diploid model organism Xenopus tropicalis (X. tropicalis). This emerging technology review focuses on the tools to rapidly generate genetically engineered X. tropicalis models (GEXM), with a focus on establishment of genuine genetic and clinically relevant cancer models. We believe that due to particular advantageous characteristics, outlined within this review, GEXM will become a valuable alternative animal model for modeling human cancer. Furthermore, we provide perspectives of how GEXM will be used as a platform for elucidation of novel therapeutic targets and for preclinical drug validation. Finally, we also discuss some future prospects on how the recent expansions and adaptations of the CRISPR/Cas9 toolbox might influence and push forward X. tropicalis cancer research.
We demonstrate that excessive iNOS-derived NO in circulation is not necessarily linked to concomitant cardiovascular collapse, morbidity, or mortality. As such, our data indicate that the central role of iNOS-derived NO in inflammation-associated cardiovascular failure may be overestimated.
Cancer precision medicine implies identification of tumor-specific vulnerabilities associated with defined oncogenic pathways. Desmoid tumors are soft-tissue neoplasms strictly driven by Wnt signaling network hyperactivation. Despite this clearly defined genetic etiology and the strict and unique implication of the Wnt/β-catenin pathway, no specific molecular targets for these tumors have been identified. To address this caveat, we developed fast, efficient, and penetrant genetic Xenopus tropicalis desmoid tumor models to identify and characterize drug targets. We used multiplexed CRISPR/Cas9 genome editing in these models to simultaneously target a tumor suppressor gene (apc) and candidate dependency genes. Our methodology CRISPR/Cas9 selection–mediated identification of dependencies (CRISPR-SID) uses calculated deviations between experimentally observed gene editing outcomes and deep-learning–predicted double-strand break repair patterns to identify genes under negative selection during tumorigenesis. This revealed EZH2 and SUZ12, both encoding polycomb repressive complex 2 components, and the transcription factor CREB3L1 as genetic dependencies for desmoid tumors. In vivo EZH2 inhibition by Tazemetostat induced partial regression of established autochthonous tumors. In vitro models of patient desmoid tumor cells revealed a direct effect of Tazemetostat on Wnt pathway activity. CRISPR-SID represents a potent approach for in vivo mapping of tumor vulnerabilities and drug target identification.
Identification of true dependencies in cancer is pivotal to the elucidation of novel therapeutic strategies to increase prospects for cancer patients. Unfortunately, in vivo identification of genetic dependencies has long relied on expensive and time-consuming breeding of genetically engineered animal models.Recently, in vitro CRISPR/Cas9 screens provided a new method for rapid and genome-wide identification of genetic dependencies. Nevertheless, genetic dependencies would ideally be identified using in vivo cancer models initiated by clinically relevant oncogenic driver or tumor suppressor insults. Here, we report a new methodology called CRISPR/Cas9-mediated Negative Selection Identification of genetic Dependencies (CRISPR-NSID) that allows in vivo elucidation of cancer cell vulnerabilities in genetic cancer models. The methodology hinges on the fact that for a genetic dependency there is an incapability for recovering tumors carrying biallelic frameshift mutations in this gene. We demonstrate how integrating experimentally determined, or in silico predicted, probabilities of frameshift editing for any given gRNA can be employed to ascertain negative selection pressure on inactivation of a genetic dependency during tumorigenesis. As a proof-of-principle, we use CRISPR-NSID to identify ezh2 and creb3l1 as genetic dependencies in desmoid tumors (desmoid-type fibromatosis) occurring in a Xenopus tropicalis cancer model driven by apc mutations. Bridging CRISPR-NSID to a clinically unmet need, we further demonstrate the promise for EZH2 inhibition as a new therapeutic strategy for desmoid tumors.This study establishes a new methodology for rapid identification of genetic dependencies in monoclonal disorders with wide adaptability to other model systems and organisms.
Targeted genome engineering technologies are revolutionizing the field of functional genomics and have been extensively used in a variety of model organisms, including X. tropicalis and X. laevis. The original methods based on Zn-finger proteins coupled to endonuclease domains were initially replaced by the more efficient and straightforward transcription activator-like effector nucleases (TALENs), adapted from plant pathogenic Xanthomonas species. Although functional genomics are more recently dominated by the even faster and more convenient CRISPR/Cas9 technology, the use of TALENs may still be preferred in a number of cases. We have successfully implemented this technology in Xenopus and in this chapter we describe our working protocol for targeted genome editing in X. tropicalis using TALENs.
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