A Multiplex PCR Melting-Curve-Analysis-Based Detection Method for the Discrimination of Five Aspergillus Species.

Aspergillus mold is a ubiquitously found, airborne pathogen that can cause a variety of diseases from mild to life-threatening in severity. Limitations in diagnostic methods combined with anti-fungal resistance render Aspergillus a global emerging pathogen. In industry, Aspergilli produce toxins, such as aflatoxins, which can cause food spoilage and pose public health risk issues. Here, we report a multiplex qPCR method for the detection and identification of the five most common pathogenic Aspergillus species, Aspergillus fumigatus, Aspergillus flavus, Aspergillus niger, Aspergillus terreus, and Aspergillus nidulans. Our approach exploits species-specific nucleotide polymorphisms within their ITS genomic regions. This novel assay combines multiplex single-color real time qPCR and melting curve analysis and provides a straight-forward, rapid, and cost-effective detection method that can identify five Aspergillus species simultaneously in a single reaction using only six unlabeled primers. Due to their unique fragment lengths, the resulting amplicons are directly linked to certain Aspergillus species like fingerprints, following either electrophoresis or melting curve analysis. Our method is characterized by high analytical sensitivity and specificity, so it may serve as a useful and inexpensive tool for Aspergillus diagnostic applications both in health care and the food industry.

Expression and purification of human interferon alpha 2a (IFNα2a) in the methylotrophic yeast Pichia pastoris.

Human interferon alpha 2a (IFNα2a) is a secreted glycoprotein that exerts a wide spectrum of biological effects, such as triggering of antiviral, antitumor and immunosuppressive responses. IFNα2a is used as pharmaceutical polypeptide in chronic hepatitis C virus (HCV) infection, chronic myelogenous leukemia, advanced renal cell carcinoma, and metastatic malignant melanoma. So far, the pharmaceutical polypeptide of this cytokine is produced in prokaryotic expression systems (E. coli). Here we report the expression and purification of recombinant human IFNα2a in the methylotrophic yeast Pichia pastoris. The cDNA encoding for human IFNα2a, modified to bear the P. pastoris codon bias, was cloned into the pPinkα-HC vector in order to be expressed as a secreted protein upon induction. Proper expression and secretion of recombinant human IFNα2a (approximately 19 kDa) was confirmed by PCR-sequencing, SDS-PAGE and Western blot analysis following methanol-induced expression in a number of individual transformed strains. Purification of the recombinant protein was performed by affinity chromatography, achieving a robust yield of purified active form. The purified recombinant protein showed an impressive stability to thermal denaturation as observed by Differential Scanning Fluorimetry. The biological activity of the P. pastoris-produced IFNα2a was confirmed in A549 and HT29 cells by monitoring transcriptional up-regulation of a panel of known interferon-stimulated genes (ISGs). Our results document that the P. pastoris expression system is a suitable system for producing biologically functional IFNα2a in a secreted form.

High-Resolution Melting (HRM) Analysis for Rapid Molecular Identification of Sparidae Species in the Greek Fish Market.

The red porgy (Pagrus pagrus) and the common dentex (Dentex dentex) are Sparidae species of high commercial value, traded in the Greek market. In some cases, fish species identification from Greek fisheries is difficult for the consumer due to the strong morphological similarities with their imported counterparts or closely related species such as Pagrus major, Pagrus caeroleustictus, Dentex gibbosus and Pagellus erythrinus, especially when specimens are frozen, filleted or cooked. Techniques based on DNA sequencing, such as COI barcoding, accurately identify species substitution incidents; however, they are time consuming and expensive. In this study, regions of mtDNA were analyzed with RFLPs, multiplex PCR and HRM in order to develop a rapid method for species identification within the Sparidae family. HRM analysis of a 113 bp region of cytb and/or a 156 bp region of 16s could discriminate raw or cooked samples of P. pagrus and D. dentex from the aforementioned closely related species and P. pagrus specimens sampled in the Mediterranean Sea when compared to those fished in the eastern Atlantic. HRM analysis exhibited high accuracy and repeatability, revealing incidents of mislabeling. Multiple samples can be analyzed within three hours, rendering this method a useful tool in fish fraud monitoring.

Development of Multiplex PCR and Melt-Curve Analysis for the Molecular Identification of Four Species of the Mullidae Family, Available in the Market.

The authentication of food products and the verification of their identity are of major importance for consumers. Food fraud through mislabeling is an illegal practice consisting of the substitution of an expensive food product by a relatively cheaper one, misleading false labelling of their origin and adulteration in processed or frozen products. This issue is particularly of high importance concerning fish and seafood, which are easily adulterated primarily due to difficult morphological identification. Fish species of the Mullidae family are considered among the most high-valued seafood products traded in Greece and Eastern Mediterranean in general, in terms of the price and demand. Specifically, the red mullet (Mullus barbatus) and the striped red mullet (Mullus surmuletus) are both indigenous in the Aegean (FAO Division 37.3.1) and the Ionian (FAO Division 37.2.2) Seas, with high levels of consumers' preferences. However, they could be easily adulterated or misidentified by the invasive Aegean Sea Lessepsian migrator goldband goatfish (Upeneus moluccensis) as well as by the imported West African goatfish (Pseudupeneus prayensis). Keeping this in mind, we designed two novel, time-saving and easy-to-apply multiplex PCR assays and one multiple Melt-Curve analysis real-time PCR for the identification of these four species. These methodologies are based on species-specific primers targeting single nucleotide polymorphisms (SNPs) detected via sequencing analysis of the mitochondrial cytochrome C oxidase subunit I (CO1) and of the cytochrome b (CYTB) genes in newly collected individuals, with additional comparison with congeneric and conspecific haplotypes obtained from the GenBank database. Both methodologies, targeting CO1 or CYTB, utilize one common and four diagnostic primers, producing amplicons of different length that are easily and reliably separated on agarose gel electrophoresis, yielding a single clear band of diagnostic size for each species or a certain Melt-Curve profile. The applicability of this cost-effective and fast methodology was tested in 328 collected specimens, including 10 cooked samples obtained from restaurants. In the vast majority (327 out of the 328) of the specimens tested, one single band was produced, in agreement with the expected products with a single exception a M. barbatus sample that was identified as M. surmuletus, the identity of which was confirmed using sequencing, indicating erroneous morphological identification. The developed methodologies are expected to contribute to the detection of commercial fraud in fish authentication.

The homeodomain transcription factor MEIS1 triggers chemokine expression and is involved in CD8+ T-lymphocyte infiltration in early stage ovarian cancer.

CD8+ T-lymphocytes infiltration is a favorable prognostic marker in ovarian cancer. Recently we identified MEIS1 as a gene overexpressed in early stage ovarian tumors enriched for CD8+ T-cells. Here, we report the molecular mechanism of the homeodomain transcription factor MEIS1 in lymphocyte recruitment. We validated that MEIS1 expression is a positive predictor of CD8+ T cells in early stage ovarian cancer. We showed that MEIS1 induces the expression of CCL18, CCL4, CXCL7, CCL5, CXCL1, and IL8 chemokines in cancer cells followed by their secretion in the culture medium ultimately triggering CD8+ T-lymphocyte recruitment in vitro. Knock down of MEIS1 expression by siRNA resulted in downregulation of these chemokines. We verified that MEIS1 binds to the promoters of chemokine genes, both in vitro and in vivo. We also showed that the expression levels of MEIS1 correlated tightly with the mRNA levels of chemokines CCL4 and CCL18 in early stage ovarian cancer patient samples and served as a positive prognostic marker, as shown by Kaplan-Meyer survival analysis. In conclusion, we propose that MEIS1 plays a pivotal role in the regulatory circuitry governing T-cell chemo-attraction during the early stages of ovarian cancer.

Roles of NF-κB Signaling in the Regulation of miRNAs Impacting on Inflammation in Cancer.

The NF-κB family of transcription factors regulate the expression of genes encoding proteins and microRNAs (miRNA, miR) precursors that may either positively or negatively regulate a variety of biological processes such as cell cycle progression, cell survival, and cell differentiation. The NF-κB-miRNA transcriptional regulatory network has been implicated in the regulation of proinflammatory, immune, and stress-like responses. Gene regulation by miRNAs has emerged as an additional epigenetic mechanism at the post-transcriptional level. The expression of miRNAs can be regulated by specific transcription factors (TFs), including the NF-κB TF family, and vice versa. The interplay between TFs and miRNAs creates positive or negative feedback loops and also regulatory networks, which can control cell fate. In the current review, we discuss the impact of NF-κB-miRNA interplay and feedback loops and networks impacting on inflammation in cancer. We provide several paradigms of specific NF-κB-miRNA networks that can regulate inflammation linked to cancer. For example, the NF-κB-miR-146 and NF-κB-miR-155 networks fine-tune the activity, intensity, and duration of inflammation, while the NF-κB-miR-21 and NF-κB-miR-181b-1 amplifying loops link inflammation to cancer; and p53- or NF-κB-regulated miRNAs interconnect these pathways and may shift the balance to cancer development or tumor suppression. The availability of genomic data may be useful to verify and find novel interactions, and provide a catalogue of 162 miRNAs targeting and 40 miRNAs possibly regulated by NF-κB. We propose that studying active TF-miRNA transcriptional regulatory networks such as NF-κB-miRNA networks in specific cancer types can contribute to our further understanding of the regulatory interplay between inflammation and cancer, and also perhaps lead to the development of pharmacologically novel therapeutic approaches to combat cancer.

A step-by-step microRNA guide to cancer development and metastasis.

BACKGROUND: Cancer is one of the leading causes of mortality. The neoplastic transformation of normal cells to cancer cells is caused by a progressive accumulation of genetic and epigenetic alterations in oncogenes, tumor suppressor genes and epigenetic regulators, providing cells with new properties, collectively known as the hallmarks of cancer. During the process of neoplastic transformation cells progressively acquire novel characteristics such as unlimited growth potential, increased motility and the ability to migrate and invade adjacent tissues, the ability to spread from the tumor of origin to distant sites, and increased resistance to various types of stresses, mostly attributed to the activation of genetic stress-response programs. Accumulating evidence indicates a crucial role of microRNAs (miRNAs or miRs) in the initiation and progression of cancer, acting either as oncogenes (oncomirs) or as tumor suppressors via several molecular mechanisms. MiRNAs comprise a class of small ~22 bp long noncoding RNAs that play a key role in the regulation of gene expression at the post-transcriptional level, acting as negative regulators of mRNA translation and/or stability. MiRNAs are involved in the regulation of a variety of biological processes including cell cycle progression, DNA damage responses and apoptosis, epithelial-to-mesenchymal cell transitions, cell motility and stemness through complex and interactive transcription factor-miRNA regulatory networks. CONCLUSIONS: The impact and the dynamic potential of miRNAs with oncogenic or tumor suppressor properties in each stage of the multistep process of tumorigenesis, and in the adaptation of cancer cells to stress, are discussed. We propose that the balance between oncogenic versus tumor suppressive miRNAs acting within transcription factor-miRNA regulatory networks, influences both the multistage process of neoplastic transformation, whereby normal cells become cancerous, and their stress responses. The role of specific tumor-derived exosomes containing miRNAs and their use as biomarkers in diagnosis and prognosis, and as therapeutic targets, are also discussed.

Senescence-associated microRNAs target cell cycle regulatory genes in normal human lung fibroblasts.

Senescence recapitulates the ageing process at the cell level. A senescent cell stops dividing and exits the cell cycle. MicroRNAs (miRNAs) acting as master regulators of transcription, have been implicated in senescence. In the current study we investigated and compared the expression of miRNAs in young versus senescent human fibroblasts (HDFs), and analysed the role of mRNAs expressed in replicative senescent HFL-1 HDFs. Cell cycle analysis confirmed that HDFs accumulated in G1/S cell cycle phase. Nanostring analysis of isolated miRNAs from young and senescent HFL-1 showed that a distinct set of 15 miRNAs were significantly up-regulated in senescent cells including hsa-let-7d-5p, hsa-let-7e-5p, hsa-miR-23a-3p, hsa-miR-34a-5p, hsa-miR-122-5p, hsa-miR-125a-3p, hsa-miR-125a-5p, hsa-miR-125b-5p, hsa-miR-181a-5p, hsa-miR-221-3p, hsa-miR-222-3p, hsa-miR-503-5p, hsa-miR-574-3p, hsa-miR-574-5p and hsa-miR-4454. Importantly, pathway analysis of miRNA target genes down-regulated during replicative senescence in a public RNA-seq data set revealed a significant high number of genes regulating cell cycle progression, both G1/S and G2/M cell cycle phase transitions and telomere maintenance. The reduced expression of selected miRNA targets, upon replicative and oxidative-stress induced senescence, such as the cell cycle effectors E2F1, CcnE, Cdc6, CcnB1 and Cdc25C was verified at the protein and/or RNA levels. Induction of G1/S cell cycle phase arrest and down-regulation of cell cycle effectors correlated with the up-regulation of miR-221 upon both replicative and oxidative stress-induced senescence. Transient expression of miR-221/222 in HDFs promoted the accumulation of HDFs in G1/S cell cycle phase. We propose that miRNAs up-regulated during replicative senescence may act in concert to induce cell cycle phase arrest and telomere erosion, establishing a senescent phenotype.