Development of a siRNA and shRNA screening system based on a kinase fusion protein

RNA interference (RNAi) is one of the processes in the cell that regulates mRNA expression levels. RNAi can be exploited to experimentally knockdown the expression of one or more genes in cell lines or even in cells in vivo and also became an interesting tool to develop new therapeutic approaches. One of the major challenges of using RNAi is selecting effective shRNAs or siRNAs that sufficiently down-regulate the expression of the target gene. Here, we describe a system to select functional shRNAs or siRNAs that makes use of the leukemia cell line Ba/F3 that is dependent on the expression of a mutant form of the PDGFRα kinase for its proliferation and survival. The basis of this system is the generation of an expression construct, where part of the open reading frame of the gene of interest is linked to the mutant PDGFRα. Thus, shRNAs or siRNAs that effectively target the gene of interest also result in a reduction of the expression of the mutant PDGFRα protein, which can be detected by a reduction of the proliferation of the cells. We demonstrate that this validation system can be used for the selection of effective siRNAs as well as shRNAs. Unlike other systems, the system described here is not dependent on obtaining high-transduction efficiencies, and nonspecific effects of the siRNAs or shRNAs can be detected by comparing the effects in the presence or absence of the growth factor interleukin-3.     

Identification of DISE-inducing shRNAs by monitoring cellular responses

Off-target effects (OTE) are an undesired side effect of RNA interference (RNAi) caused by partial complementarity between the targeting siRNA and mRNAs other than the gene to be silenced. The death receptor CD95 and its ligand CD95L contain multiple sequences that when expressed as either si- or shRNAs kill cancer cells through a defined OTE that targets critical survival genes. Death induced by survival gene elimination (DISE) is characterized by specific morphological changes such as elongated cell shapes, senescence-like enlarged cells, appearance of large intracellular vesicles, release of mitochondrial ROS followed by activation of caspase-2, and induction of a necrotic form of mitotic catastrophe. Using genome-wide shRNA lethality screens with eight different cancer cell lines, we recently identified 651 genes as critical for the survival of cancer cells. To determine whether the toxic shRNAs targeting these 651 genes contained shRNAs that kill cancer cell through DISE rather than by silencing their respective target genes, we tested all shRNAs in the TRC library derived from a subset of these genes targeting tumor suppressors (TS). We now report that only by monitoring the responses of cancer cells following expression of shRNAs derived from these putative TS it was possible to identify DISE-inducing shRNAs in five of the genes. These data indicate that DISE in general is not an undefined toxic response of cells caused by a random OTE but rather a specific cellular response with shared features that points at a specific biological function involving multiple genes in the genome.     

Treatment with vector-expressed small hairpin RNAs against Ki67 RNA-induced cell growth inhibition and apoptosis in human renal carcinoma cells

Short hairpin RNAs (shRNAs) transcribed by.RNA polymerase Ⅲ promoters can triggersequence-selective gene silencing in mammalian cells.By virtue of their excellent function in knocking downexpression of cancer-associated genes,shRNAs could be used as new therapeutic agents for cancer.Asoverexpression of Ki67 in renal cancer has been correlated to a more aggressive tumor phenotype,inhibitionof Ki67 protein expression by means of shRNAs seems to be a promising approach for the therapy of renalcancer.In this study,we constructed an expression plasmid encoding shRNAs against the Ki67 gene,namedpSilencerKi67,and transfected it into human renal carcinoma cells.The pSilencerKi67 was shown to signifi-cantly knock down the expression of the Ki67 gene in human renal carcinoma cells,resulting in inhibitingproliferation and inducing apoptotic cell death that can be maintained for at least 6d.These findings offer thepromise of using vector-based shRNAs against Ki67 in renal cancer gene therapy.     

Effective adoptive therapy of tap-deficient lymphoma using diverse high avidity alloreactive T cells

High avidity for antigen and diversity of T cell receptor (TCR) repertoire are essential for effective immunity against cancer. We have previously created a transgenic mouse strain with increased TCR avidity in a diverse T cell population. In this report, we show that strong alloreactive responses of transgenic T cells against targets with low MHC class I expression can be used for effective adoptive transfer of tumor immunity in vivo. Alloreactive transgenic T cells could be an effective therapeutic approach counteracting tumor evasion of the immune system.     

Identification of phosphoenolpyruvate carboxykinase 1 as a potential therapeutic target for pancreatic cancer

Pancreatic cancer is the third leading cause of cancer-related mortalities and is characterized by rapid disease progression. Identification of novel therapeutic targets for this devastating disease is important. Phosphoenolpyruvate carboxykinase 1 (PCK1) is the rate-limiting enzyme of gluconeogenesis. The current study tested the expression and potential functions of PCK1 in pancreatic cancer. We show that PCK1 mRNA and protein levels are significantly elevated in human pancreatic cancer tissues and cells. In established and primary pancreatic cancer cells, PCK1 silencing (by shRNA) or CRISPR/Cas9-induced PCK1 knockout potently inhibited cell growth, proliferation, migration and invasion, and induced robust apoptosis activation. Conversely, ectopic overexpression of PCK1 in pancreatic cancer cells accelerated cell proliferation and migration. RNA-seq analyzing of differentially expressed genes (DEGs) in PCK1-silenced pancreatic cancer cells implied that DEGs were enriched in the PI3K-Akt-mTOR cascade. In pancreatic cancer cells, Akt-mTOR activation was largely inhibited by PCK1 shRNA, but was augmented after ectopic PCK1 overexpression. In vivo, the growth of PCK1 shRNA-bearing PANC-1 xenografts was largely inhibited in nude mice. Akt-mTOR activation was suppressed in PCK1 shRNA-expressing PANC-1 xenograft tissues. Collectively, PCK1 is a potential therapeutic target for pancreatic cancer.Subject terms: Pancreatic cancer, Oncogenes     

Lethality of PAK3 and SGK2 shRNAs to Human Papillomavirus Positive Cervical Cancer Cells Is Independent of PAK3 and SGK2 Knockdown

The p21-activated kinase 3 (PAK3) and the serum and glucocorticoid-induced kinase 2 (SGK2) have been previously proposed as essential kinases for human papillomavirus positive (HPV+) cervical cancer cell survival. This was established using a shRNA knockdown approach. To validate PAK3 and SGK2 as potential targets for HPV+ cervical cancer therapy, the relationship between shRNA-induced phenotypes in HPV+ cervical cancer cells and PAK3 or SGK2 knockdown was carefully examined. We observed that the phenotypes of HPV+ cervical cancer cells induced by various PAK3 and SGK2 shRNAs could not be rescued by complement expression of respective cDNA constructs. A knockdown-deficient PAK3 shRNA with a single mismatch was sufficient to inhibit HeLa cell growth to a similar extent as wild-type PAK3 shRNA. The HPV+ cervical cancer cells were also susceptible to several non-human target shRNAs. The discrepancy between PAK3 and SGK2 shRNA-induced apoptosis and gene expression knockdown, as well as cell death stimulation, suggested that these shRNAs killed HeLa cells through different pathways that may not be target-specific. These data demonstrated that HPV+ cervical cancer cell death was not associated with RNAi-induced PAK3 and SGK2 knockdown but likely through off-target effects.     

Inhibition of mTOR pathway attenuates migration and invasion of gallbladder cancer via EMT inhibition

Gallbladder cancer (GBC) is an aggressive disease in which epithelial-mesenchymal transition (EMT) plays a critical role. Whether inhibition of mTOR effects via EMT reversal in GBC remains unclear. Using genetic and pharmacologic inhibitions of mTOR, we investigated the changes of EMT levels in GBC cells. Expressions of EMT related genes were also studied. Migration and invasion assays were carried out and in vivo tumour metastasis mouse models were established. Circulating tumour DNA was quantified. We used EMT index (ratio of Vimentin/Ecadherin expression) to profile EMT levels. We found that inhibition of mTOR using shRNAs and rapamycin inhibited EMT in GBC-SD gallbladder cancer cells. Inhibition of mTOR inhibited EMT in GBC-SD cells in TGF-β-dependent manner, which was contributed majorly by mTORC2 inhibition. Rapamycin decreased invasiveness and migration of GBC-SD cells in vitro and in vivo. We have in the current study shown that rapamycin diminishes the ability of invasion and migration of GBC via inhibition of TGF-β-dependent EMT. Our findings contribute to the understanding of the carcinogenesis of GBC.     

Expressing short hairpin RNAs in vivo

Promoter-based expression of short hairpin RNAs (shRNAs) may in principle provide stable silencing of genes in any tissue. As for all approaches that require transgene expression, safe delivery is the biggest obstacle, but toxicity can also occur via expression of the sequence itself. Innate immunity mechanisms can be triggered by expressed hairpin RNAs, critical cellular factors can be saturated, and genes other than the intended target can be silenced. Nevertheless, shRNAs constitute a valuable tool for in vivo research and have great therapeutic potential if the challenges with delivery and side effects are appropriately addressed.     

Bringing Down Cancer Aircraft: Searching for Essential Hypomutated Proteins in Skin Melanoma

We propose an approach to detection of essential genes/proteins required for cancer cell survival. A gene is considered essential if a mutation with high impact upon the function of encoded protein causes death of the cancer cell. We draw an analogy between essential cancer proteins and well-known Abraham Wald’s work on estimating the plane critical areas using data on survivability of aircraft encountering enemy fire. Wald reasoned that parts with no bullet holes on the airplanes returned to the airbase from a combat flight are the most crucial ones for the airplane functioning: a hit in one of these parts downs an airplane, so it does not return back for the survey. We have envisaged that the airplane surface is a cancer genome and the bullets are somatic mutations with high impact upon protein function. Similarly we propose that genes specifically essential for tumor cell survival should carry less high-impact mutations in cancer cells compared to polymorphisms found in normal cells. We used data on mutations from the Cancer Genome Atlas and polymorphisms found in healthy humans (from 1000 Genomes Project) to predict 91 protein-coding genes essential for melanoma. These genes were selected according to several criteria, including negative selection, expression in melanocytes and decrease in the proportion of high-impact mutations in cancer compared with normal cells. The Gene Ontology analysis revealed enrichment of essential proteins related to membrane and cell periphery. We speculate that this could be a sign of immune system-driven negative selection of cancer neo-antigens. Another finding is the overrepresentation of semaphorin receptors, which can mediate distinctive signaling cascades and are involved in various aspects of tumor development. Cytokine receptors CCR5 and CXCR1 were also identified as cancer essential proteins and this is confirmed by other studies. Overall, our goal was to illustrate the idea of detecting proteins whose sequence integrity and functioning is important for cancer cell survival. Hopefully, this prediction of essential cancer proteins may point to new targets for anti-tumor therapies.     

Polymorphisms in the large subunit of human RNA polymerase II as target for allele-specific inhibition

The lack of specificity of cancer treatment causes damage to normal cells as well, which limits the therapeutic range. To circumvent this problem one would need to use an absolute difference between normal cells and cancer cells as therapeutic target. Such a difference exists in the genome of all individuals suffering from a tumor that is characterized by loss of genetic material [loss of heterozygosity (LOH)]. Due to LOH, the tumor is hemizygous for a number of genes, whereas the normal cells of the individual are heterozygous for these genes. Theoretically, polymorphic sites in these genes can be utilized to selectively target the cancer cells with an antisense oligonucleotide, provided that it can discriminate the alleles and inhibit gene expression. Furthermore, the targeted gene should be essential for cell survival, and 50% gene expression sufficient for the cell to survive. This will allow selective killing of cancer cells without concomitant toxicity to normal cells. As an initial step in the experimental test of this putative selective cancer cell therapy, we have developed a set of antisense phosphorothioate oligonucleotides which can discriminate the two alleles of a polymorphic site in the gene encoding the large subunit of RNA polymerase II. Our data show that the exact position of the antisense oligonucleotide on the mRNA is of essential importance for the oligonucleotide to be an effective inhibitor of gene expression. Shifting the oligonucleotide position only a few bases along the mRNA sequence will completely abolish the inhibitory activity of the antisense oligonucleotide. Reducing the length of the oligonucleotides to 16 bases increases the allele specificity. This study shows that it is possible to design oligonucleotides that selectively target the matched allele, whereas the expression level of the mismatched allele, that differs by one nucleotide, is only slightly affected.     

Molecular targets and early response biomarkers for the prediction of developmental toxicity in vitro

There is an urgent need for new in vitro methods to predict the potential developmental toxicity of candidate drugs in the early lead identification and optimisation process. This would lead to a reduction in the total number of animals required in full-scale developmental toxicology studies, and would improve the efficiency of drug development. However, suitable in vitro systems permitting robust high-throughput screening for this purpose, for the most part, remain to be designed. An understanding of the mechanisms involved in developmental toxicity may be essential for the validation of in vitro tests. Early response biomarkers - even a single one - could contribute to reducing assay time and facilitating automation. The use of toxicogenomics approaches to study in vitro and in vivo models in parallel may be a powerful tool in defining such mechanisms of action and the molecular targets of toxicity, and also for use in finding possible biomarkers of early response. Using valproic acid as a model substance, the use of DNA microarrays to identify teratogen-responsive genes in cell models is discussed. It is concluded that gene expression in P19 mouse embryocarcinoma cells represents a potentially suitable assay system, which could be readily used in a tiered testing system for developmental toxicity testing.     

Minimizing variables among hairpin-based RNAi vectors reveals the potency of shRNAs

RNA interference (RNAi) is a cellular process regulating gene expression and participating in innate defense in many organisms. RNAi has also been utilized as a tool to query gene function and is being developed as a therapeutic strategy for several diseases. Synthetic small interfering (siRNAs) or expressed stem–loop RNAs (short-hairpin RNAs [shRNAs] or artificial microRNAs [miRNAs]) have been delivered to cultured cells and organisms to inhibit expression of a variety of genes. A persistent question in the field, however, is which RNAi expression system is most suitable for distinct applications. To date, shRNA- and artificial miRNA-based strategies have been compared with conflicting results. In prior comparisons, sequences required for efficient RNAi processing and loading of the intended antisense strand into the RNAi-induced silencing complex (RISC) were not considered. We therefore revisited the shRNA–miRNA comparison question. Initially, we developed an improved artificial miRNA vector and confirmed the optimal shRNA configuration by altering structural features of these RNAi substrates. Subsequently, we engineered and compared shRNA- and miRNA-based RNAi expression vectors that would be processed to yield similar siRNAs that exhibit comparable strand biasing. Our results demonstrate that when comparison variables are minimized, the shRNAs tested were more potent than the artificial miRNAs in mediating gene silencing independent of target sequence and experimental setting (in vitro and in vivo). In addition, we show that shRNAs are expressed at considerably higher levels relative to artificial miRNAs, thus providing mechanistic insight to explain their increased potency.     

Potential Therapeutic Targets for Oral Cancer: ADM,TP53, EGFR,LYN, CTLA4, SKIL,CTGF, CD70

In India, oral cancer has consistently ranked among top three causes of cancer-related deaths, and it has emerged as a top cause for the cancer-related deaths among men. Lack of effective therapeutic options is one of the main challenges in clinical management of oral cancer patients. We interrogated large pool of samples from oral cancer gene expression studies to identify potential therapeutic targets that are involved in multiple cancer hallmark events. Therapeutic strategies directed towards such targets can be expected to effectively control cancer cells. Datasets from different gene expression studies were integrated by removing batch-effects and was used for downstream analyses, including differential expression analysis. Dependency network analysis was done to identify genes that undergo marked topological changes in oral cancer samples when compared with control samples. Causal reasoning analysis was carried out to identify significant hypotheses, which can explain gene expression profiles observed in oral cancer samples. Text-mining based approach was used to detect cancer hallmarks associated with genes significantly expressed in oral cancer. In all, 2365 genes were detected to be differentially expressed genes, which includes some of the highly differentially expressed genes like matrix metalloproteinases (MMP-1/3/10/13), chemokine (C-X-C motif) ligands (IL8, CXCL-10/-11), PTHLH, SERPINE1, NELL2, S100A7A, MAL, CRNN, TGM3, CLCA4, keratins (KRT-3/4/13/76/78), SERPINB11 and serine peptidase inhibitors (SPINK-5/7). XIST, TCEAL2, NRAS and FGFR2 are some of the important genes detected by dependency and causal network analysis. Literature mining analysis annotated 1014 genes, out of which 841 genes were statistically significantly annotated. The integration of output of various analyses, resulted in the list of potential therapeutic targets for oral cancer, which included targets such as ADM, TP53, EGFR, LYN, CTLA4, SKIL, CTGF and CD70.