lncRNA DIRC3 regulates invasiveness and insulin-like growth factor signaling in thyroid cancer cells

Differentiated thyroid cancers (DTCs) are malignancies that demonstrate strong but largely uncharacterized heritability. Germline variants that influence the risk of DTCs localize in disrupted in renal carcinoma 3 (DIRC3), a poorly described long non-coding RNA gene. Here, we investigated the function of DIRC3 in DTCs. Using patient-matched thyroid tissue pairs and The Cancer Genome Atlas data, we established that DIRC3 is downregulated in DTCs, whereas high expression of DIRC3 in tumors may reduce the risk of cancer recurrence. DIRC3 transcripts were enriched in cell nuclei, where they upregulated insulin-like growth factor binding protein 5 (IGFBP5), a gene that modulates the cellular response to insulin-like growth factor 1 (IGF1). Silencing DIRC3 in thyroid cancer cell lines (MDA-T32 and MDA-T120) had a dichotomous phenotypic influence: augmented cell migration and invasiveness, reduced apoptosis, but abrogated the MTT reduction rate. Transcriptomic profiling and gene rescue experiments indicated the functional redundancy in the activities of DIRC3 and IGFBP5. Moreover, the reduced level of DIRC3 enhanced the susceptibility of thyroid cancer cells to IGF1 stimulation and promoted Akt signaling via downregulation of the IGFBP5 protein. In conclusion, DIRC3 expression alters the phenotype of thyroid cancer cells and regulates the activity of the IGFBP5/IGF1/Akt axis. Our findings suggest that an interplay between DIRC3 and IGF signaling may play a role in promoting thyroid carcinogenesis.

Global Increase in Circular RNA Levels in Myotonic Dystrophy

Splicing aberrations induced as a consequence of the sequestration of muscleblind-like splicing factors on the dystrophia myotonica protein kinase transcript, which contains expanded CUG repeats, present a major pathomechanism of myotonic dystrophy type 1 (DM1). As muscleblind-like factors may also be important factors involved in the biogenesis of circular RNAs (circRNAs), we hypothesized that the level of circRNAs would be decreased in DM1. To test this hypothesis, we selected 20 well-validated circRNAs and analyzed their levels in several experimental systems (e.g., cell lines, DM muscle tissues, and a mouse model of DM1) using droplet digital PCR assays. We also explored the global level of circRNAs using two RNA-Seq datasets of DM1 muscle samples. Contrary to our original hypothesis, our results consistently showed a global increase in circRNA levels in DM1, and we identified numerous circRNAs that were increased in DM1. We also identified many genes (including muscle-specific genes) giving rise to numerous (>10) circRNAs. Thus, this study is the first to show an increase in global circRNA levels in DM1. We also provided preliminary results showing the association of circRNA level with muscle weakness and alternative splicing changes that are biomarkers of DM1 severity.

qEva-CRISPR: a method for quantitative evaluation of CRISPR/Cas-mediated genome editing in target and off-target sites

Genome editing technology based on engineered nucleases has been increasingly applied for targeted modification of genes in a variety of cell types and organisms. However, the methods currently used for evaluating the editing efficiency still suffer from many limitations, including preferential detection of some mutation types, sensitivity to polymorphisms that hamper mismatch detection, lack of multiplex capability, or sensitivity to assay conditions. Here, we describe qEva-CRISPR, a new quantitative method that overcomes these limitations and allows simultaneous (multiplex) analysis of CRISPR/Cas9-induced modifications in a target and the corresponding off-targets or in several different targets. We demonstrate all of the advantages of the qEva-CRISPR method using a number of sgRNAs targeting the TP53, VEGFA, CCR5, EMX1 and HTT genes in different cell lines and under different experimental conditions. Unlike other methods, qEva-CRISPR detects all types of mutations, including point mutations and large deletions, and its sensitivity does not depend on the mutation type. Moreover, this approach allows for successful analysis of targets located in 'difficult' genomic regions. In conclusion, qEva-CRISPR may become a method of choice for unbiased sgRNA screening to evaluate experimental conditions that affect genome editing or to distinguish homology-directed repair from non-homologous end joining.

Quantitative Methods to Monitor RNA Biomarkers in Myotonic Dystrophy

Myotonic dystrophy type 1 (DM1) and type 2 (DM2) are human neuromuscular disorders associated with mutations of simple repetitive sequences in affected genes. The abnormal expansion of CTG repeats in the 3'-UTR of the DMPK gene elicits DM1, whereas elongated CCTG repeats in intron 1 of ZNF9/CNBP triggers DM2. Pathogenesis of both disorders is manifested by nuclear retention of expanded repeat-containing RNAs and aberrant alternative splicing. The precise determination of absolute numbers of mutant RNA molecules is important for a better understanding of disease complexity and for accurate evaluation of the efficacy of therapeutic drugs. We present two quantitative methods, Multiplex Ligation-Dependent Probe Amplification and droplet digital PCR, for studying the mutant DMPK transcript (DMPK^expRNA) and the aberrant alternative splicing in DM1 and DM2 human tissues and cells. We demonstrate that in DM1, the DMPK^expRNA is detected in higher copy number than its normal counterpart. Moreover, the absolute number of the mutant transcript indicates its low abundance with only a few copies per cell in DM1 fibroblasts. Most importantly, in conjunction with fluorescence in-situ hybridization experiments, our results suggest that in DM1 fibroblasts, the vast majority of nuclear RNA foci consist of a few molecules of DMPK^expRNA.

The 30 kb deletion in the APOBEC3 cluster decreases APOBEC3A and APOBEC3B expression and creates a transcriptionally active hybrid gene but does not associate with breast cancer in the European population

APOBEC3B, in addition to other members of the APOBEC3 gene family, has recently been intensively studied due to its identification as a gene whose activation in cancer is responsible for a specific pattern of massively occurring somatic mutations. It was recently shown that a common large deletion in the APOBEC3 cluster (the APOBEC3B deletion) may increase the risk of breast cancer. However, conflicting evidence regarding this association was also reported. In the first step of our study, using different approaches, including an in-house designed multiplex ligation-dependent probe amplification assay, we analyzed the structure of the deletion and showed that although the breakpoints are located in highly homologous regions, which may generate recurrent occurrence of similar but not identical deletions, there is no sign of deletion heterogeneity. This knowledge allowed us to distinguish transcripts of all affected genes, including the highly homologous canonical APOBEC3A and APOBEC3B, and the hybrid APOBEC3A/APOBEC3B gene. We unambiguously confirmed the presence of the hybrid transcript and showed that the APOBEC3B deletion negatively correlates with APOBEC3A and APOBEC3B expression and positively correlates with APOBEC3A/APOBEC3B expression, whose mRNA level is >10-fold and >1500-fold lower than the level of APOBEC3A and APOBEC3B, respectively. In the next step, we performed a large-scale association study in three different cohorts (2972 cases and 3682 controls) and showed no association of the deletion with breast cancer, familial breast cancer or ovarian cancer. Further, we conducted a meta-analysis that confirmed the lack of the association of the deletion with breast cancer in non-Asian populations.

Oncogenomic portals for the visualization and analysis of genome-wide cancer data

Somatically acquired genomic alterations that drive oncogenic cellular processes are of great scientific and clinical interest. Since the initiation of large-scale cancer genomic projects (e.g., the Cancer Genome Project, The Cancer Genome Atlas, and the International Cancer Genome Consortium cancer genome projects), a number of web-based portals have been created to facilitate access to multidimensional oncogenomic data and assist with the interpretation of the data. The portals provide the visualization of small-size mutations, copy number variations, methylation, and gene/protein expression data that can be correlated with the available clinical, epidemiological, and molecular features. Additionally, the portals enable to analyze the gathered data with the use of various user-friendly statistical tools. Herein, we present a highly illustrated review of seven portals, i.e., Tumorscape, UCSC Cancer Genomics Browser, ICGC Data Portal, COSMIC, cBioPortal, IntOGen, and BioProfiling.de. All of the selected portals are user-friendly and can be exploited by scientists from different cancer-associated fields, including those without bioinformatics background. It is expected that the use of the portals will contribute to a better understanding of cancer molecular etiology and will ultimately accelerate the translation of genomic knowledge into clinical practice.