Opioid precursor protein isoform is targeted to the cell nuclei in the human brain

Background: Neuropeptide precursors are traditionally viewed as proteins giving rise to small neuropeptide molecules. Prodynorphin (PDYN) is the precursor protein to dynorphins, endogenous ligands for the kappa-opioid receptor. Alternative mRNA splicing of neuropeptide genes may regulate cell- and tissue-specific neuropeptide expression and produce novel protein isoforms. We here searched for novel PDYN mRNA and their protein product in the human brain. Methods: Novel PDYN transcripts were identified using nested PCR amplification of oligo(dT) selected full-length capped mRNA. Gene expression was analyzed by qRT-PCR, PDYN protein by western blotting and confocal imaging, dynorphin peptides by radioimmunoassay. Neuronal nuclei were isolated using fluorescence activated nuclei sorting (FANS) from postmortem human striatal tissue. lmmunofluorescence staining and con focal microscopy was performed for human caudate nucleus. Results: Two novel human PDYN mRNA splicing variants were identified. Expression of one of them was confined to the striatum where its levels constituted up to 30% of total PDYN mRNA. This transcript may be translated into ASP-PDYN protein lacking 13 N-terminal amino acids, a fragment of signal peptide (SP). Delta SP-PDYN was not processed to mature dynorphins and surprisingly, was targeted to the cell nuclei in a model cellular system. The endogenous PDYN protein was identified in the cell nuclei in human striatum by western blotting of isolated neuronal nuclei, and by confocal imaging. Conclusions and general significance: High levels of alternatively spliced Delta SP-PDYN mRNA and nuclear localization of PDYN protein suggests a nuclear function for this isoform of the opioid peptide precursor in human striatum. (C) 2016 Elsevier B.V. All rights reserved

Tumor suppressor function of the SEMA3B gene in human lung and renal cancers

The SEMA3B gene is located in the 3p21.3 LUCA region, which is frequently affected in different types of cancer. The objective of our study was to expand our knowledge of the SEMA3B gene as a tumor suppressor and the mechanisms of its inactivation. In this study, several experimental approaches were used: tumor growth analyses and apoptosis assays in vitro and in SCID mice, expression and methylation assays and other. With the use of the small cell lung cancer cell line U2020 we confirmed the function of SEMA3B as a tumor suppressor, and showed that the suppression can be realized through the induction of apoptosis and, possibly, associated with the inhibition of angiogenesis. In addition, for the first time, high methylation frequencies have been observed in both intronic (32-39%) and promoter (44-52%) CpG-islands in 38 non-small cell lung carcinomas, including 16 squamous cell carcinomas (SCC) and 22 adenocarcinomas (ADC), and in 83 clear cell renal cell carcinomas (ccRCC). Correlations between the methylation frequencies of the promoter and the intronic CpG-islands of SEMA3B with tumor stage and grade have been revealed for SCC, ADC and ccRCC. The association between the decrease of the SEMA3B mRNA level and hypermethylation of the promoter and the intronic CpG-islands has been estimated in renal primary tumors (P < 0.01). Using qPCR, we observed on the average 10- and 14-fold decrease of the SEMA3B mRNA level in SCC and ADC, respectively, and a 4-fold decrease in ccRCC. The frequency of this effect was high in both lung (92-95%) and renal (84%) tumor samples. Moreover, we showed a clear difference (P < 0.05) of the SEMA3B relative mRNA levels in ADC with and without lymph node metastases. We conclude that aberrant expression and methylation of SEMA3B could be suggested as markers of lung and renal cancer progression

Identification of Novel Epigenetic Markers of Prostate Cancer by NotI-Microarray Analysis

A significant need for reliable and accurate cancer diagnostics and prognosis compels the search for novel biomarkers that would be able to discriminate between indolent and aggressive tumors at the early stages of disease. The aim of this work was identification of potential diagnostic biomarkers for characterization of different types of prostate tumors. NotI-microarrays with 180 clones associated with chromosome 3 genes/loci were applied to determine genetic and epigenetic alterations in 33 prostate tumors. For 88 clones, aberrations were detected in more than 10% of tumors. The major types of alterations were DNA methylation and/or deletions. Frequent methylation of the discovered loci was confirmed by bisulfite sequencing on selective sampling of genes: FGF12, GATA2, and LMCD1. Three genes (BHLHE40, BCL6, and ITGA9) were tested for expression level alterations using qPCR, and downregulation associated with hypermethylation was shown in the majority of tumors. Based on these data, we proposed the set of potential biomarkers for detection of prostate cancer and discrimination between prostate tumors with different malignancy and aggressiveness: BHLHE40, FOXP1, LOC285205, ITGA9, CTDSPL, FGF12, LOC440944/SETD5, VHL, CLCN2, OSBPL10/ZNF860, LMCD1, FAM19A4, CAND2, MAP4, KY, and LRRC58. Moreover, we probabilistically estimated putative functional relations between the genes within each set using the network enrichment analysis

Relative mRNA level of the <i>SEMA3B</i> gene in NSCLC (A) and ccRCC (B).

<p>QPCR data, additional samplings. Light grey columns—samples without metastases, dark grey columns—samples with lymph node or distant metastases. The numbers of primary tumors correspond to those in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0123369#pone.0123369.s001" target="_blank">S1 Table</a>. Mean values ± standard deviations for 3 replicates are represented.</p

<i>SEMA3B</i> gene expression level (A), copy number (C) and methylation status of its two CpG-islands (B) in the same ccRCC samples.

<p>Semi-quantitative PCR (A, C) and MSP (B) data. Numbers of primary tumors correspond to those in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0123369#pone.0123369.s001" target="_blank">S1 Table</a> and <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0123369#pone.0123369.g005" target="_blank">Fig 5B</a>. (A) Light grey columns—samples without metastases, dark grey columns—samples with lymph node or distant metastases. (B) 1-st CpG—promoter CpG-island, 2-nd CpG—intronic CpG-island. Grey squares show methylated CpG-islands, white squares—unmethylated. (C) Grey squares show hemi- or homozygous deletions of the 5’Sema5 marker, black—amplification, white squares—retention. Assessed mean values ± error bars are represented in the “A” part.</p

Inhibition of tumor growth by <i>SEMA3B</i> re-expression.

<p>The growth rate of U2020 cells (U7111 clone) in SCID mice: blue line—U2020 cells without <i>SEMA3B</i> expression (+ doxycycline, 4 mice), red and yellow line—U2020 cells with <i>SEMA3B</i> expression (- doxycycline, 4 mice and 1 mouse respectively). *—no expression of <i>SEMA3B</i> gene according to the Northern blot (data not shown). One +dox and one—dox mice were withdrawn from the study after one month.</p

Methylation profile of the promoter CpG-island of the <i>SEMA3B</i> gene in lung (A) and renal (B) cancer cell lines and primary tumors.

<p>Bisulfite sequencing data, 16 CpG-dinucleotides (2–17) of the CpG-island are given. Grey squares show methylated CpG-dinucleotides, white squares—unmethylated. Numbers of primary tumors correspond to those in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0123369#pone.0123369.s001" target="_blank">S1 Table</a>. The bold numbers of CpG-dinucleotides (3–4 and 9–12) indicate the location of the primers that were used for MSP method.</p