Effect of CRISPR Knockout of AXIN1 or ARID1A on Proliferation and Migration of Porcine Hepatocellular Carcinoma.

Hepatocellular carcinoma (HCC) is an aggressive disease lacking effective treatment. Animal models of HCC are necessary for preclinical evaluation of the safety and efficacy of novel therapeutics. Large animal models of HCC allow testing image-guided locoregional therapies, which are widely used in the management of HCC. Models with precise tumor mutations mimicking human HCC provide valuable tools for testing precision medicine. AXIN1 and ARID1A are two of the most frequently mutated genes in human HCC. Here, we investigated the effects of knockout of AXIN1 and/or ARID1A on proliferation, migration, and chemotherapeutic susceptibility of porcine HCC cells and we developed subcutaneous tumors harboring these mutations in pigs. Gene knockout was achieved by CRISPR/Cas9 and was validated by Next Generation Sequencing. AXIN1 knockout increased the migration of porcine HCC cells but did not alter the cell proliferation. Knockout of ARID1A increased both the proliferation and migration of porcine HCC cells. Simultaneous knockout of AXIN1 and ARID1A increased the migration, but did not alter the proliferation of porcine HCC cells. The effect of gene knockout on the response of porcine HCC cells to two of the most commonly used systemic and locoregional HCC treatments was investigated; sorafenib and doxorubicin, respectively. Knockout of AXIN1 and/or ARID1A did not alter the susceptibility of porcine HCC cells to sorafenib or doxorubicin. Autologous injection of CRISPR edited HCC cells resulted in development of subcutaneous tumors in pigs, which harbored the anticipated edits in AXIN1 and/or ARID1A. This study elucidates the effects of CRISPR-mediated knockout of HCC-associated genes in porcine HCC cells, and lays the foundation for development and utilization of genetically-tailored porcine HCC models for in vivo testing of novel therapeutic approaches in a clinically-relevant large animal model.

Cysteine oxidation of copper transporter CTR1 drives VEGFR2 signalling and angiogenesis.

Vascular endothelial growth factor receptor type 2 (VEGFR2, also known as KDR and FLK1) signalling in endothelial cells (ECs) is essential for developmental and reparative angiogenesis. Reactive oxygen species and copper (Cu) are also involved in these processes. However, their inter-relationship is poorly understood. Evidence of the role of the endothelial Cu importer CTR1 (also known as SLC31A1) in VEGFR2 signalling and angiogenesis in vivo is lacking. Here, we show that CTR1 functions as a redox sensor to promote angiogenesis in ECs. CTR1-depleted ECs showed reduced VEGF-induced VEGFR2 signalling and angiogenic responses. Mechanistically, CTR1 was rapidly sulfenylated at Cys189 at its cytosolic C terminus after stimulation with VEGF, which induced CTR1-VEGFR2 disulfide bond formation and their co-internalization to early endosomes, driving sustained VEGFR2 signalling. In vivo, EC-specific Ctr1-deficient mice or CRISPR-Cas9-generated redox-dead Ctr1(C187A)-knockin mutant mice had impaired developmental and reparative angiogenesis. Thus, oxidation of CTR1 at Cys189 promotes VEGFR2 internalization and signalling to enhance angiogenesis. Our study uncovers an important mechanism for sensing reactive oxygen species through CTR1 to drive neovascularization.

Generation of genetically tailored porcine liver cancer cells by CRISPR/Cas9 editing.

Pigs provide a valuable large animal model for several diseases due to their similarity with humans in anatomy, physiology, genetics and drug metabolism. We recently generated a porcine model for TP53R167H and KRASG12D driven hepatocellular carcinoma (HCC) by autologous liver implantation. Here we describe a streamlined approach for developing genetically tailored porcine HCC cells by CRISPR/Cas9 gene editing and isolation of homogenous genetically validated cell clones. The combination of CRISPR/Cas9 editing of HCC cells described herein with the orthotopic HCC model enables development of various porcine HCC models, each with a specific mutational profile. This allows modeling the effect of different driver mutation combinations on tumor progression and in vivo testing of novel targeted therapeutic approaches in a clinically relevant large animal model.

Predicting success of oligomerized pool engineering (OPEN) for zinc finger target site sequences.

BACKGROUND: Precise and efficient methods for gene targeting are critical for detailed functional analysis of genomes and regulatory networks and for potentially improving the efficacy and safety of gene therapies. Oligomerized Pool ENgineering (OPEN) is a recently developed method for engineering C2H2 zinc finger proteins (ZFPs) designed to bind specific DNA sequences with high affinity and specificity in vivo. Because generation of ZFPs using OPEN requires considerable effort, a computational method for identifying the sites in any given gene that are most likely to be successfully targeted by this method is desirable. RESULTS: Analysis of the base composition of experimentally validated ZFP target sites identified important constraints on the DNA sequence space that can be effectively targeted using OPEN. Using alternate encodings to represent ZFP target sites, we implemented Naïve Bayes and Support Vector Machine classifiers capable of distinguishing "active" targets, i.e., ZFP binding sites that can be targeted with a high rate of success, from those that are "inactive" or poor targets for ZFPs generated using current OPEN technologies. When evaluated using leave-one-out cross-validation on a dataset of 135 experimentally validated ZFP target sites, the best Naïve Bayes classifier, designated ZiFOpT, achieved overall accuracy of 87% and specificity+ of 90%, with an ROC AUC of 0.89. When challenged with a completely independent test set of 140 newly validated ZFP target sites, ZiFOpT performance was comparable in terms of overall accuracy (88%) and specificity+ (92%), but with reduced ROC AUC (0.77). Users can rank potentially active ZFP target sites using a confidence score derived from the posterior probability returned by ZiFOpT. CONCLUSION: ZiFOpT, a machine learning classifier trained to identify DNA sequences amenable for targeting by OPEN-generated zinc finger arrays, can guide users to target sites that are most likely to function successfully in vivo, substantially reducing the experimental effort required. ZiFOpT is freely available and incorporated in the Zinc Finger Targeter web server (http://bindr.gdcb.iastate.edu/ZiFiT).

Implication of DNA repair genes in Lynch-like syndrome.

Many colorectal cancers (CRCs) that exhibit microsatellite instability (MSI) are not explained by MLH1 promoter methylation or germline mutations in mismatch repair (MMR) genes, which cause Lynch syndrome (LS). Instead, these Lynch-like syndrome (LLS) patients have somatic mutations in MMR genes. However, many of these patients are young and have relatives with cancer, suggesting a hereditary entity. We performed germline sequence analysis in LLS patients and determined their tumor's mutational profiles using FFPE DNA. Six hundred and fifty-four consecutive CRC patients were screened for suspected LS using MSI and absence of MLH1 methylation. Suspected LS cases were exome sequenced to identify germline and somatic mutations. Single nucleotide variants were used to characterize mutational signatures. We identified 23 suspected LS cases. Germline sequence analysis of 16 available samples identified five cases with LS mutations and 11 cases without LS mutations, LLS. Most LLS tumors had a combination of somatic MMR gene mutation and loss of heterozygosity. LLS patients were relatively young and had excess first-degree relatives with cancer. Four of the 11 LLS patients had rare likely pathogenic variants in genes that maintain genome integrity. Moreover, tumors from this group had a distinct mutational signature compared to tumors from LLS patients lacking germline mutations in these genes. In summary, more than a third of the LLS patients studied had germline mutations in genes that maintain genome integrity and their tumors had a distinct mutational signature. The possibility of hereditary factors in LLS warrants further studies so counseling can be properly informed.

Amino acid catalyzed biomimetic preparation of tin oxide-germania nanocomposites and their characterization.

The efficiency of growth of nanocrystalline tin oxide-germania nanocomposites at room temperature was investigated in the presence of the amino acids arginine, histidine, and lysine under varying conditions. The preparation of tin oxide nanoparticles under similar conditions was also examined. It was observed that of the three amino acids, arginine was the most efficient and formed higher yields of the products. Calcination of the products led to crystalline materials. The growth was carried out using a biological approach under mild conditions at room temperature. The morphology and the crystallinity of the products were examined by transmission electron microscopy and atomic force microscopy. The optical properties of the nanocomposites were characterized by fluorescence, and ultraviolet-visible spectroscopy. The nitrogen adsorption studies indicate that the nanocomposites obtained were mesoporous in nature. The nanocomposites exhibited high BET surface area. Such materials could be potentially useful for the development of improved gas sensor devices and optical devices.

Engineering designer transcription activator-like effector nucleases (TALENs) by REAL or REAL-Fast assembly.

Engineered transcription activator-like effector nucleases (TALENs) are broadly useful tools for performing targeted genome editing in a wide variety of organisms and cell types including plants, zebrafish, C. elegans, rat, human somatic cells, and human pluripotent stem cells. Here we describe detailed protocols for the serial, hierarchical assembly of TALENs that require neither PCR nor specialized multi-fragment ligations and that can be implemented by any laboratory. These restriction enzyme and ligation (REAL)-based protocols can be practiced using plasmid libraries and user-friendly, Web-based software that both identifies target sites in sequences of interest and generates printable graphical guides that facilitate assembly of TALENs. With the described platform of reagents, protocols, and software, researchers can easily engineer multiple TALENs within 2 weeks using standard cloning techniques.