PPIA Research Articles

114 Insulin-Like Growth Factor (IGF)2 and IGF2 Receptor (IGF2R) Murine Blastocyst Transcriptional Response after High Gaseous Pressure Exposure at 8-Cell Stage

Insulin-like growth factor 2 (IGF2) is a pleiotropic hormone encoded by an imprinted gene expressed in the paternal allele of mammals, and acts in physiological responses including cell proliferation, differentiation, and development. It is mediated through the IGF1R signalling pathway, whereas the IGF2R, a maternally imprinted gene, acts on lysosomal IGF2 degradation. As imprinted genes, both Igf2 and Igf2r expressions are more susceptible to dysregulation by environmental factors. This study aimed to evaluate the effect of exposure of 8-cell-stage murine embryos to 16 MPa of high gaseous pressure (HGP) on the relative Igf2 and Igf2r mRNA abundance in resulting blastocysts following in vitro culture (IVC). Day-3 embryos were recovered from superovulated Mus musculus domesticus females. Eight-cell embryos were exposed to 16 MPa HGP for either 2 h (P1 group) or 4 h (P2 group), with a Control group not exposed to HGP. Immediately after recovery or HGP exposure, embryos were in vitro-cultured for 48 h in mKSOM medium supplemented with 0.4% BSA at 37.5°C, 5% CO2, 5% O2, 90% N2, and saturated humidity. Resulting blastocysts were collected in pools of 10 and stored at –80°C, pending analysis. Following total mRNA extraction, cDNA syntesis and RT-qPCR were performed according to manufacturers. Values were normalized to the internal control Ppia gene. Relative gene expression was calculated using the 2−ΔΔ Ct approach. Blastocyst rates after IVC were compared by the Chi-squared test (P < 0.05), with relative Igf2 and Igf2r expression data and Igf:Igf2r ratio analysed by ANOVA, after log-transformation when needed, with pairwise comparisons done by the Tukey test (P < 0.05). No differences in blastocyst rates after IVC were observed among groups (Control: 94.2%; P1: 95.4%; P2: 94.1%). However, the Igf2 mRNA relative abundances in blastocysts were 6.3- and 4.2-fold lower in P1 (P < 0.01) and P2 (P = 0.07) than in the Control group, respectively. Likewise, the Igf2r relative transcription levels were 6.6- and 2.2-fold down-regulated in blastocysts from the P1 (P < 0.001) and P2 (P < 0.01) groups, respectively, when compared with controls. Although the relative expression for both genes followed a down-regulation pattern in blastocysts exposed to HGP at the 8-cell stage, the Igf2:Igf2r ratio was 1.9-fold lower in blastocysts in the P2 group (P < 0.05) than Controls, which was similar to the P1 group, indicating a potential stress adaptation response for embryo growth and development after exposure to HGP in the P1 group. It is known that cells under certain conditions of stress may halter growth and development as a response to initiate cellular events to maintain viability. Results from this study appear to translate such response process to HGP in both experimental groups. However, as embryo development and the Igf2:Igf2r ratio in embryos were similar between the Control and the P1 group, exposure to 16 MPa HGP for 2 h at the 8-cell-stage embryo does not seem to affect cell signalling to growth and proliferation up to the blastocyst stage.

Selection of suitable endogenous reference genes for qPCR in kidney and hypothalamus of rats under testosterone influence.

Real-time quantitative PCR (qPCR) is the most reliable and accurate technique for analyses of gene expression. Endogenous reference genes are being used to normalize qPCR data even though their expression may vary under different conditions and in different tissues. Nonetheless, verification of expression of reference genes in selected studied tissue is essential in order to accurately assess the level of expression of target genes of interest. Therefore, in this study, we attempted to examine six commonly used reference genes in order to identify the gene being expressed most constantly under the influence of testosterone in the kidneys and hypothalamus. The reference genes include glyceraldehyde-3-phosphate dehydrogenase (GAPDH), actin beta (ACTB), beta-2 microglobulin (B2m), hypoxanthine phosphoribosyltransferase 1 (HPRT), peptidylprolylisomerase A (Ppia) and hydroxymethylbilane synthase (Hmbs). The cycle threshold (Ct) value for each gene was determined and data obtained were analyzed using the software programs NormFinder, geNorm, BestKeeper, and rank aggregation. Results showed that Hmbs and Ppia genes were the most stably expressed in the hypothalamus. Meanwhile, in kidneys, Hmbs and GAPDH appeared to be the most constant genes. In conclusion, variations in expression levels of reference genes occur in kidneys and hypothalamus under similar conditions; thus, it is important to verify reference gene levels in these tissues prior to commencing any studies.

English

The objectives of this study were to evaluate the relative expression stability of five candidate reference genes in the semimembranosus (SM) and longissimus thoracis (LT) of beef steers, heifers and young bulls. The mRNA levels of Beta-Actin, eukaryotic initiation factor-2B Subunit 2, glyceraldehyde-3-phosphate dehydrogenase, peptidylprolyl isomerase-A and succinate dehydrogenase complex-subunit A were quantified using real-time polymerase chain reaction (qPCR). The combined analysis using the geNorm algorithm revealed that glyceraldehyde-3-phosphate dehydrogenase (GAPDH) and eukaryotic initiation factor-2B subunit 2 (EIF2B2) were the most stable gene pairs. However, individual experimental conditions showed that succinate dehydrogenase complex-subunit A was most stably expressed in bulls and heifers SM, and in bulls and steers LT. Glyceraldehyde-3-phosphate dehydrogenase was most stably expressed in bull SM, steer SM, bull LT and heifer LT. The expression stability ranking order differed between experimental conditions, but all genes had low expression variability. Therefore, using the two most stable reference genes, namely GAPDH and EIF2B2, would result in more accurate normalizations for quantitative real-time PCR studies in the SM and LT muscles of beef cattle. The need for prior evaluation of candidate reference genes in different muscles and sex groups of beef cattle is thus emphasized by the present results. Key words: Bovine, gene expression, longissimus thoracis, normalization, reference genes, semimembranosus, geNorm.

Effect of storage time on gene expression data acquired from unfrozen archived newborn blood spots.

Unfrozen archived newborn blood spots (NBS) have been shown to retain sufficient messenger RNA (mRNA) for gene expression profiling. However, the effect of storage time at ambient temperature for NBS samples in relation to the quality of gene expression data is relatively unknown. Here, we evaluated mRNA expression from quantitative real-time PCR (qRT-PCR) and microarray data obtained from NBS samples stored at ambient temperature to determine the effect of storage time on the quality of gene expression. These data were generated in a previous case-control study examining NBS in 53 children with cerebral palsy (CP) and 53 matched controls. NBS sample storage period ranged from 3 to 16years at ambient temperature. We found persistently low RNA integrity numbers (RIN=2.3±0.71) and 28S/18S rRNA ratios (~0) across NBS samples for all storage periods. In both qRT-PCR and microarray data, the expression of three common housekeeping genes-beta cytoskeletal actin (ACTB), glyceraldehyde 3-phosphate dehydrogenase (GAPDH), and peptidylprolyl isomerase A (PPIA)-decreased with increased storage time. Median values of each microarray probe intensity at log2 scale also decreased over time. After eight years of storage, probe intensity values were largely reduced to background intensity levels. Of 21,500 genes tested, 89% significantly decreased in signal intensity, with 13,551, 10,730, and 9925 genes detected within 5years, > 5 to <10years, and >10years of storage, respectively. We also examined the expression of two gender-specific genes (X inactivation-specific transcript, XIST and lysine-specific demethylase 5D, KDM5D) and seven gene sets representing the inflammatory, hypoxic, coagulative, and thyroidal pathways hypothesized to be related to CP risk to determine the effect of storage time on the detection of these biologically relevant genes. We found the gender-specific genes and CP-related gene sets detectable in all storage periods, but exhibited differential expression (between male vs. female or CP vs. control) only within the first six years of storage. We concluded that gene expression data quality deteriorates in unfrozen archived NBS over time and that differential gene expression profiling and analysis is recommended for those NBS samples collected and stored within six years at ambient temperature.

Downregulation of Peptidylprolyl isomerase A promotes cell death and enhances doxorubicin-induced apoptosis in hepatocellular carcinoma

Peptidylprolyl isomerase A (PPIA) is a peptidyl-prolyl cis-trans isomerase that is known to play a critical role in the development of many human cancers. However, the precise biological function of PPIA in hepatocellular carcinoma (HCC) remains largely unclear. In this study, lentiviral overexpression vectors and small interfering RNA knockdown methods were employed to investigate the biological effects of PPIA in HCC. PPIA levels in HCC tissues and peritumoral tissues were detected by real-time Polymerase Chain Reaction (RT-PCR), Western blotting, and immunohistochemistry. Our results indicate that PPIA levels were significantly higher in the HCC tissues compared to the matched peritumoral tissues. Moreover, PPIA expression was significantly associated with tumor size in these tissues. Interestingly, serum PPIA (sPPIA) levels were significantly higher in healthy controls compared to the HCC patients. Knockdown or overexpression of PPIA was shown to downregulate and upregulate cell growth, respectively. Moreover, PPIA siRNA knockdown appears to promote doxorubicin-induced apoptosis in HCC cells, altering the expression of downstream apoptotic factors. In summary, our results indicate that PPIA may play a pivotal role in HCC by regulating cell growth and could serve as a novel marker and therapeutic molecular target for HCC patients.

Identification and Validation of Housekeeping Genes for Gene Expression Analysis of Cancer Stem Cells.

The characterization of cancer stem cell (CSC) subpopulation, through the comparison of the gene expression signature in respect to the native cancer cells, is particularly important for the identification of novel and more effective anticancer strategies. However, CSC have peculiar characteristics in terms of adhesion, growth, and metabolism that possibly implies a different modulation of the expression of the most commonly used housekeeping genes (HKG), like b-actin (ACTB). Although it is crucial to identify which are the most stable HKG genes to normalize the data derived from quantitative Real-Time PCR analysis to obtain robust and consistent results, an exhaustive validation of reference genes in CSC is still missing. Here, we isolated CSC spheres from different musculoskeletal sarcomas and carcinomas as a model to investigate on the stability of the mRNA expression of 15 commonly used HKG, in respect to the native cells. The selected genes were analysed for the variation coefficient and compared using the popular algorithms NormFinder and geNorm to evaluate stability ranking. As a result, we found that: 1) Tata Binding Protein (TBP), Tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein zeta polypeptide (YWHAZ), Peptidylprolyl isomerase A (PPIA), and Hydroxymethylbilane synthase (HMBS) are the most stable HKG for the comparison between CSC and native cells; 2) at least four reference genes should be considered for robust results; 3) the use of ACTB should not be recommended, 4) specific HKG should be considered for studies that are focused only on a specific tumor type, like sarcoma or carcinoma. Our results should be taken in consideration for all the studies of gene expression analysis of CSC, and will substantially contribute for future investigations aimed to identify novel anticancer therapy based on CSC targeting.

Selection and validation of reference house-keeping genes in the J774A1 macrophage cell line for quantitative real-time PCR.

Macrophages are essential components of the innate and adaptive immune responses, playing a decisive role in atherosclerosis, asthma, obesity, and cancer. The differential gene expression resulting from adhesion of macrophages to the extra-cellular matrix (ECM) has been studied in the J774A1 murine macrophage cell line using quantitative polymerase chain reaction (qPCR). The goal of this study was to identify housekeeping genes (HKGs) that remain stable and unaltered under normal culture conditions and in the presence of laminin after a time lapse of 6 and 24 h. The expression stabilities of eight commonly used reference genes were analyzed by determining the comparative threshold cycle ((ΔΔ)Ct) values, and using the BestKeeper, NormFinder, and geNorm algorithms. BestKeeper analysis revealed that the glyceraldehyde-3-phosphate dehydrogenase (GAPDH), peptidylprolyl isomerase A (PPIA), and ribosomal protein L13a (RPL13A) genes were highly stable, confirming the results of the (ΔΔ)Ct analysis. On the other hand, NormFinder proposed RPL13A and beta-glucuronidase (GUSB) to be the most suitable combination, and geNorm adjudged RPL13A, PPIA, and GUSB to be the most stable across all culture conditions. All programs discarded the use of actin beta and beta-2-microglobulin for normalization. The collected data indicated that RPL13A, PPIA, GAPDH, and GUSB as highly suitable as reference genes for qPCR analysis of murine macrophages under normal and ECM-simulated culture conditions. This study also emphasizes the importance of evaluating HKGs used for normalization to ensure the accuracy of qPCR data.

Quantification of the mRNA expression of G protein-coupled receptors in human adipose tissue.

G protein-coupled receptors (GPCRs) are important regulators of human physiology and therefore the targets of a large number of modern therapeutics. Although GPCRs are important regulators of adipose tissue endocrine and energy storage functions, the expression and function of a majority of GPCRs in adipose tissue is poorly characterized. A first step in the functional characterization of adipose tissue GPCRs is to accurately quantify the expression of GPCRs in adipose tissue. In this methods chapter, a detailed, step-by-step protocol is presented for the isolation of adipose tissue total RNA, its conversion into cDNA and the real-time PCR quantification of human GPCR mRNA expression relative to the mRNA expression of the stable adipose tissue housekeeping gene peptidylprolyl isomerase A (PPIA). A comprehensive list of 377 manually validated, commercially available GPCR qPCR primers allows facilitated swift quantification of either the entire human GPCRome or individual GPCRs, thus providing a sensitive, flexible, and cost-effective means of determining the mRNA expression of GPCRs in adipose tissue.

PPIA rs6850: A &gt; G single-nucleotide polymorphism is associated with raised plasma cyclophilin A levels in patients with coronary artery disease

Plasma level of cyclophilin A is a promising marker of vascular disease in patients with type 2 diabetes. Genetic variants in the peptidylprolyl isomerase A gene, encoding human cyclophilin may alter protein synthesis thus affecting its activity, function, and circulating plasma levels. We examined the effect of single-nucleotide polymorphisms (SNPs) within the PPIA gene on plasma levels of cyclophilin A and coupled this with status of vascular disease in patients with and without type 2 diabetes in 212 South Indian subjects. The regulatory region of PPIA gene was sequenced for SNPs. The association of SNPs with known blood markers of type 2 diabetes and coronary artery disease such as HbA1c, low- and high-density lipoproteins, triglycerides, fasting and postprandial blood sugar levels, and cyclophilin A were probed. We identified three SNPs namely, rs6850: A>G; (AG/-) c.*227_*228delAG and (-/T) c.*318_*319insT. Welchs two-sample t test indicated an association of SNP rs6850: A>G, located at the 5' UTR region with increased plasma levels of cyclophilin A in patients with coronary artery disease and with coronary artery disease associated with diabetes. The presence of rs6850: A>G variant was significantly associated with coronary artery disease irrespective of whether the patients had diabetes or not. In silico analysis of the sequence using different tools and matrix libraries did not predict any significant differential binding sites for rs6850: A>G, c.*227_*228delAG and c.*318_*319insT. Our results indicate that the SNP rs6850: A>G is associated with increased risk for elevated plasma levels of cyclophilin A and coronary artery disease in patients with and without type 2 diabetes.

Investigation of reference gene expression during human herpesvirus 6B infection indicates peptidylprolyl isomerase A as a stable reference gene and TATA box binding protein as a gene up-regulated by this virus

When using relative gene expression for quantification of RNA it is crucial that the reference genes used for normalization do not change with the experimental condition. We aimed at investigating the expressional stability of commonly used reference genes during Human herpesvirus 6B (HHV-6B) infection. Expression of eight commonly used reference genes were investigated with quantitative PCR in a T-cell line infected with HHV-6B. The stability of genes was investigated using the 2−ΔΔCT method and the algorithms BestKeeper, GeNorm and NormFinder. Our results indicate that peptidylprolyl isomerase A (PPIA) is the most stably expressed gene while TATA box binding protein (TBP) is the least stably expressed gene during HHV-6B infection. In a confirmatory experiment, TBP was demonstrated to be dose and time dependently upregulated by HHV-6B. The stability of PPIA is in line with other studies investigating different herpesvirus infections whereas the finding that HHV-6B significantly upregulates TBP is novel and most likely specific to HHV-6B.

Identification of Valid Housekeeping Genes for Real-Time Quantitative PCR Analysis of Collapsed Lung Tissues of Neonatal Somatic Cell Nuclear Transfer-Derived Cattle.

Cloned calves produced by somatic cell nuclear transfer frequently suffer alveolar collapse as newborns. To study the underlying pathophysiological mechanisms responsible for this phenomenon, the expression profiles of numerous genes involved in lung development need to be investigated. Quantitative real-time PCR is commonly adopted in gene expression analysis. However, selection of an appropriate reference gene for normalization is critical for obtaining reliable and accurate results. Seven housekeeping genes-β-glucuronidase (GUSB), phosphoglycerate kinase 1 (PGK1), β-2-microglobolin (B2M), peptidylprolyl isomerase A (PPIA), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), TATA-box binding protein (TBP), and 5.8S ribosomal RNA (5.8S rRNA)-were selected and evaluated as candidates. Their gene expression levels in the collapsed lungs of deceased neonate cloned calves and normal lung derived from normal calves were assessed. The ranking of gene expression stability was estimated by the geNorm, NormFinder, and BestKeeper programs. 5.8S rRNA and PPIA were determined to be the most stable reference genes by geNorm and BestKeeper, whereas the combination of GAPDH and TBP was suggested as reference genes by NormFinder. Taking these results into account, we conclude that 5.8S rRNA and PPIA could be the most reliable reference genes for studying the genes involved in alveolar collapse. Moreover, 5.8S rRNA could be represented as a uniform reference gene in similar cases.

Selection of reference genes for quantitative real-time polymerase chain reaction in porcine embryos.

To study gene expression and to determine distinctive characteristics of embryos produced by different methods, normalisation of the gene(s) of interest against reference gene(s) has commonly been employed. Therefore, the present study aimed to assess which reference genes tend to express more stably in single porcine blastocysts produced in vivo (IVO) or by parthenogenetic activation (PA), in vitro fertilisation (IVF) and somatic cell nuclear transfer (SCNT) using different analysis programs, namely geNorm, Normfinder and Bestkeeper. Commonly used reference genes including 18S rRNA (18S), H2A histone family, member Z (H2A), hypoxanthine phosphoribosyltransferase1 (HPRT1), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), ribosomal protein 4 (RPL4), peptidylprolyl isomerase A (PPIA), beta actin (ACTB), succinate dehydrogenase complex, subunit A (SDHA) and hydroxymethylbilane synthase (HMBS2) were analysed; most of them resulted in significantly (P<0.05) different cycle threshold (CT) values in porcine embryos except for SDHA and H2A. In evaluation of stable reference genes across in vivo and in vitro porcine blastocysts, three kinds of programs showed slightly different results; however, there were similar patterns about the rankings of more or less stability overall. In conclusion, SDHA and H2A were determined as the most appropriate reference genes for reliable normalisation in order to find the comparative gene expression in porcine blastocysts produced by different methods, whereas 18S was regarded as a less-stable reference gene. The present study has evaluated the stability of commonly used reference genes for accurate normalisation in porcine embryos to obtain reliable results.

Peptidylprolyl isomerase A governs TARDBP function and assembly in heterogeneous nuclear ribonucleoprotein complexes.

Peptidylprolyl isomerase A (PPIA), also known as cyclophilin A, is a multifunctional protein with peptidyl-prolyl cis-trans isomerase activity. PPIA is also a translational biomarker for amyotrophic lateral sclerosis, and is enriched in aggregates isolated from amyotrophic lateral sclerosis and frontotemporal lobar degeneration patients. Its normal function in the central nervous system is unknown. Here we show that PPIA is a functional interacting partner of TARDBP (also known as TDP-43). PPIA regulates expression of known TARDBP RNA targets and is necessary for the assembly of TARDBP in heterogeneous nuclear ribonucleoprotein complexes. Our data suggest that perturbation of PPIA/TARDBP interaction causes 'TDP-43' pathology. Consistent with this model, we show that the PPIA/TARDBP interaction is impaired in several pathological conditions. Moreover, PPIA depletion induces TARDBP aggregation, downregulates HDAC6, ATG7 and VCP, and accelerates disease progression in the SOD1(G93A) mouse model of amyotrophic lateral sclerosis. Targeting the PPIA/TARDBP interaction may represent a novel therapeutic avenue for conditions involving TARDBP/TDP-43 pathology, such as amyotrophic lateral sclerosis and frontotemporal lobar degeneration.

Identification of suitable reference genes for gene expression studies using quantitative polymerase chain reaction in lung cancer in vitro.

The present study aimed to examine 10 housekeeping genes (HKGs), including 18s ribosomal RNA (18S), glyceraldehyde‑3‑phosphate dehydrogenase (GAPDH), ribosomal protein large P0 (RPLP0), β‑actin (ACTB), peptidylprolyl isomerase A (PPIA), phosphoglycerate kinase‑1 (PGK1), β‑2‑microglobulin (B2M), ribosomal protein LI3a (RPL13A), hypoxanthine phosphoribosyl transferase‑1 (HPRT1) and TATA box binding protein (TBP) in order to identify the most stable and suitable reference genes for use in expression studies in non‑small cell lung cancer. The mRNA expression encoding the panel of the 10 HKGs was determined using reverse transcription‑quantitative PCR (RT‑qPCR) in human lung cancer cell lines. Three software programs, BestKeeper, NormFinder and geNorm, were used to ascertain the most suitable reference genes to normalize the RNA input. The present study examined three lung cancer cell lines (A549, NCI‑H446 and NCI‑H460). The analysis of the experimental data using BestKeeper software revealed that all 10 HKGs were stable, with GADPH, followed by 18S being the most stable genes and PPIA and HPRT1 being the least stable genes. The NormFinder software results demonstrated that PPIA followed by ACTB were the most stable and B2M and RPLP0 were the least stable. The geNorm software results revealed that ACTB and PGK1, followed by PPIA were the most stable genes and B2M and RPLP0 were identified as the least stable genes. Due to discrepancies in the ranking orders of the reference genes obtained by different analyzing software programs, it was not possible to determine a single universal reference gene. The suitability of selected reference genes requires unconditional validation prior to each study. Based on the three analyzing programs, ACTB, PPIA and PGK1 were the most stable reference genes in lung cancer cell lines.

Stability of Reference Genes during Tri-Lineage Differentiation of Human Adipose-Derived Stromal Cells.

Quantitative real-time PCR can detect variations in gene expression. The identification of the stable reference genes (RGs) is necessary to evaluate the expression of specific genes of interest under various conditions in many cell types, including human adipose-derived stromal cells (hASCs). In this study, we used the algorithms BestKeeper, NormFinder, geNorm, and RefFinder to investigate the stability of 15 potential RGs (B2M, eEF1A1, GAPDH, H2AFZ, HMBS, HPRT1, PGK1, PPIA, RPL5, SDHA, TBP, TKT, TRFC, TUBB, and UBC) in hASCs during control, adipo-, chondro-, and osteogenic differentiation for 28 days. RPL5, GAPDH, H2AFZ, and HPRT1 were the most stable RGs, while B2M and UBC were the least stable RGs for the majority of group analyses (tri-lineage differentiation and control analyzed combined or individually; each lineage combined with the control). These RGs were used to normalize adipo- (FABP4, LPL, and PPARG), chondro- (COMP and SOX9), and osteogenic gene expression markers (BMP4, COL1A1, and RUNX2). Each marker showed a similar expression when normalized by H2AFZ, HPRT1, or RPL5, confirming that these RGs exhibit stable expression. However, GAPDH, B2M, and UBC exhibited high standard deviation (SD), down-regulated and/or up-regulated differentiation gene expression markers when compared with stable RGs, demonstrating that these RGs are unstable.

English

Protamines are short and highly basic sperm-specific nuclear proteins. Though the expression profile of protamines 1 and 2 is well known, but there is little knowledge of protamine 3 expression in bovine semen. In this study, Frieswal (HF x Sahiwal) crossbred bulls were categorized into two groups (good and poor quality) based on the initial progressive motility of semen and other seminal parameters. The mRNA expression of PRM3 gene among two groups was evaluated by real time quantitative polymerase chain reaction (PCR) using TaqMan chemistry, where peptidylprolyl isomerase A (PPIA) was used as an internal control. Our finding revealed that expression of PRM3 was down regulated in poor quality semen producers as compared to good quality semen producing group, but unfortunately no significant difference of transcript abundance was observed between the groups. To shed light on present findings, it can thus assume that PRM3 may not be a prognostic marker to differentiate good and poor quality bull semen in Frieswal cattle. Keywords: Protamine 3, Frieswal, semen, expression African Journal of Bioitechnoloy , Vol 13(19), 1999-2003

Proteomics Analysis of Normal and Senescent NG108-15 Cells: GRP78 Plays a Negative Role in Cisplatin-Induced Senescence in the NG108-15 Cell Line

Accelerated senescence (ACS) leading to proliferative arrest is a physiological mechanism of the DNA damage response that occurs during tumor therapy. Our experiment was designed to detect unknown genes that may play important roles in cisplatin-induced senescence and to illustrate the related senescence mechanism. Using 2-dimension electrophoresis (2-DE), we identified 5 protein spots with different expression levels in the normal and senescent NG108-15 cells. According to MALDI-TOF MS analysis, the 5 proteins were determined to be peptidylprolyl isomerase A (PPIA), peroxiredoxin 1 (PRX1), glutathione S-transferase mu 1 (GSTM1), vimentin (VIM) and glucose-regulated protein 78 (GRP78). Then, we investigated how cisplatin-induced senescence was mediated by GRP78 in the NG108-15 cells. Knockdown of GRP78 significantly increased P53 expression in NG108-15 cells. Additionally, 2-deoxy-D-glucose (2DG)-induced GRP78 overexpression protected the NG108-15 cells from cisplatin-induced senescence, which was accompanied by the obvious suppression of P53 and p-CDC2 expression. Inhibition of Ca2+ release from endoplasmic reticulum (ER) stores was also found to be associated with the anti-senescence effect of 2DG-induced GRP78 overexpression. In conclusion, we found 5 proteins that were differentially expressed in normal NG108-15 cells and senescent NG108-15 cells. GRP78 plays an important role in cisplatin-induced senescence in NG108-15 cells, mainly through its regulation of P53 expression and ER calcium efflux.

Exploration of genetically determined resistance against hepatitis C infection in high‐risk injecting drug users

Genetic resistance to specific infections is well recognized. In hepatitis C virus (HCV) infection, genetic polymorphisms in IL-28B and the killer cell immunoglobulin-like receptors (KIR) and their HLA class I ligands have been shown to affect clearance of the virus following infection. There are limited data regarding resistance to established HCV infection. Reliable quantification of repeated exposure in high-risk populations, such as injecting drug users (IDU), is a key limitation of previous studies of resistance. Behavioural data and DNA from IDU (n = 210) in the Hepatitis C Incidence and Transmission Study in prisons (HITS-p) cohort were genotyped for polymorphisms in: IL-28B, peptidyl-prolyl isomerase A (PPIA), HLA-C and KIR2. To quantify risk, a composite risk index based on factors predictive of incident HCV infection was derived. Logistic regression analysis revealed the risk index was strongly associated with incident HCV infection (P < 0.0001). The upper tertile of the uninfected individuals had risk indices comparable to the incident cases, but remained uninfected. There were no significant differences in the frequencies of IL-28B or PPIA polymorphisms between these exposed-uninfected cases, or in the frequencies of KIR2-DL3, HLA-C1, or their combination. A framework for the investigation of genetic determinants of resistance to HCV infection has been developed. Several candidate gene associations were investigated and excluded. Further investigation of genetic determinants of resistance to HCV infection is warranted.

Association of cannabinoid receptor expression with anandamide concentrations in endometrial cancer

BackgroundThe incidence of endometrial cancer is increasing worldwide. Despite improved overall survival rates, its aetiopathogenesis remains complicated, although oestrogens are known causal factors. Among other factors thought to be implicated are the endocannabinoids. Anandamide (AEA), the prototypical endocannabinoid, has emerged as a possible factor in the pathogenesis of endometrial cancer because oestrogen regulates AEA concentrations and the expression of the cannabinoid receptors in other tissues. Furthermore, the endocannabinoid system is protective against the growth and spread of different malignancies. We aimed to investigate and quantify anandamide and its receptors in endometrial cancer. MethodsIn this single-centre study conducted at a UK teaching hospital, 31 patients with endometrial carcinomas (27 type 1, four type 2) and seven healthy age-matched controls with atrophic endometria were recruited. Biopsy samples were taken and divided into two—one for this study and the other for histological confirmation of diagnosis (graded according to the FIGO system). The biopsy sample for this study was further divided into two—one for AEA measurement and the other for quantitative RT-PCR. CB1 and CB2 transcript levels were measured in triplicate and normalised against the housekeeping genes PPIA, MRPL19, and IPO8. 15 of 31 cancer patients (12 type 1, three type 2) and all seven of the control group, volunteered blood for plasma collection. At hysterectomy, 31 endometrial cancer samples (27 type 1, four type 2) and seven age-matched atrophic control endometrial biopsy samples were obtained for tissue AEA measurement. Extracts from the plasma and endometrial homogenates were assessed for the presence of AEA with UHPLC-tandem mass spectrometry. FindingsIn the endometrial cancer tissues, both CB1 and CB2 transcript levels were significantly decreased by 90% (p<0·0004) and 80% (p< 0·0001), respectively, compared with atrophic tissues. Plasma AEA concentrations were significantly higher in patients with endometrial cancer than in the control group (mean 1·95 nM [SE 0·59] vs 1·06 [0·08], p=0·037). Plasma AEA concentrations in patients with type 1 disease were significantly higher than in control patients (2·17 [0·72] vs 1·06 [0·08], p<0·05), but in patients with type 2 disease there was no difference (1·08 [0·05]). Similarly, tissue AEA in patients with endometrial cancer was significantly higher than in the control group (5·45 nmol/g [SE 0·91] vs 1·77 [0·66], p=0·046). Tissue AEA was significantly higher in type 1 endometrial cancer than in atrophic samples (6·12 [0·98] vs 1·77 [0·66], p<0·05), but type 2 samples did not differ (0·90 [0·16]). Furthermore, in samples available for comparison (15 endometrial cancer, seven atrophic) there was a statistically significant correlation between plasma and tissue AEA concentrations (r=0·55, p=0·008). InterpretationThe results from this study suggest that downregulation of CB1 and CB2 receptor transcript levels and raised tissue and plasma AEA concentrations are linked in some way. We speculate that the endocannabinoid system is implicated in the aetiopathogenesis of endometrial cancer, but further work is warranted. The correlation between plasma and tissue AEA concentrations suggests that plasma AEA could be used as a biomarker for some forms of endometrial malignant disease, especially type 1 endometrioid adenocarcinoma. The endocannabinoid system thus presents an attractive novel target for pharmacological intervention in some endometrial malignancies. FundingUniversity Hospitals of Leicester NHS Trust.

Analysis of reference gene stability after Israeli acute paralysis virus infection in bumblebees Bombus terrestris

To date, there are no validated internal reference genes for the normalization of RT-qPCR data from virus infection experiments with pollinating insects. In this study we evaluated the stability of five candidate internal reference genes: elongation factor-1-alpha (ELF1α), peptidylprolyl isomerase A (PPIA), 60S ribosomal protein L23 (RPL23), TATA-binding protein (TBP) and polyubiquitin (UBI), in relation to Israeli acute paralysis virus (IAPV) infection of Bombus terrestris. We investigated the stability of these genes: in whole bodies and individual body parts, as well as in whole bodies collected at different time intervals after infection with IAPV. Our data identified PPIA as the single, most-optimal internal reference gene and the combination of PPAI-RPL23-UBI as a fully-sufficient multiple internal reference genes set for IAPV infection experiments in B. terrestris.