Exploring the genetic diversity and population structure of scarlet eggplant germplasm from Rwanda through iPBS-retrotransposon markers.

BACKGROUND: Scarlet eggplant (Solanum aethiopicum gr. gilo) is a part of African indigenous vegetables and acknowledged as a source of variations in the breeding of Brinjal. Since its genetic diversity is still largely unexplored, therefore genetic diversity and population structure of this plant were investigated in this study. METHODS AND RESULTS: Scarlet eggplant germplasm made of fifty-two accessions originated from two districts of Rwanda was assessed by employing the iPBS-retrotransposon markers system. Twelve most polymorphic primers were employed for molecular characterization and they yielded 329 total bands whereupon 85.03% were polymorphic. The recorded mean polymorphism information content was 0.363 and other diversity indices such as; mean the effective number of alleles, mean Shannon's information index and gene diversity with the following values; 1.298, 0.300 and 0.187 respectively. A superior level of diversity was noticed among accessions from Musanze district. The model-based structure, neighbor-joining, and principal coordinate analysis (PCoA) gathered scarlet germplasm in a divergence manner to their collection district. Analysis of molecular variance (AMOVA) displayed that the utmost variations (81%) in scarlet eggplant germplasm are resulting in differences within populations. CONCLUSIONS: The extensive diversity of scarlet eggplant in Rwanda might be used to form the base and genetic resource of an exhaustive breeding program of this economically important African indigenous vegetable. For instance, accessions MZE53 and GKE11 might be proposed as parent candidates due to their high relative genetic distance (0.6781).

Pregnancy influences the selection of appropriate reference genes in mouse tissue: Determination of appropriate reference genes for quantitative reverse transcription PCR studies in tissues from the female mouse reproductive axis.

Selecting stably expressed reference genes which are not affected by physiological or pathophysiological conditions is crucial for reliable quantification in gene expression studies. This study examined the expression stability of a panel of twelve reference genes in tissues from the female mouse reproductive axis and the uterus. Gene expression studies were carried out using reverse transcriptase quantitative polymerase chain reaction (RT-qPCR). cDNA was synthesised from RNA extracted from hypothalami, pituitaries, ovaries and uteri of female mice at ages representing weaning, puberty and adulthood as well as pregnancy (13 ± 1 days post-coitus) (n = a minimum of 3 at each age and at pregnancy). The reference genes examined included 18 s, Actb, Atp5b, B2m, Canx, Cyc1, Eif4a2, Gapdh, Rpl13a, Sdha, Ubc and Ywhaz. The RT-qPCR raw data were imported into the qBASE+ software to analyse the expression stability using GeNorm. These data were also subsequently analysed using other software packages (Delta CT, Normfinder, BestKeeper). A comprehensive ranking was conducted considering all stability rankings generated from the different software analyses. B2m and Eif4a2 deviated from the acceptable range for amplification efficiency and therefore were excluded from the further analyses. The stability of the reference genes is influenced by the software used for the analysis with BestKeeper providing markedly different results than the other analyses. GeNorm analysis of tissues taken at different ages but not including pregnant animals, indicated that the expression of the reference genes is tissue specific with the most stable genes being: in the hypothalamus, Canx and Actb; in the pituitary, Sdha and Cyc1; in the ovary, 18s, Sdha and Ubc; and in the uterus, Ywhaz, Cyc1, Atp5b, 18s and Rpl13a. The optimal number of reference genes to be used was determined to be 2 in the first three tissues while in the uterus, the V-score generated by the GeNorm analysis was higher than 0.15 suggesting that 3 or more genes should be used for normalisation. Inclusion of tissues from pregnant mice changed the reference genes identified as being the most stable: Ubc and Sdha were the most stable genes in the hypothalamus, pituitary and the ovary. The addition of pregnant tissue had no effect on the stability of the genes in uterus (Ywhaz, Cyc1, Atp5b, 18s and Rpl13a). Identification of these stable reference genes will be of use to those interested in studying female fertility and researchers should be alert to the effects of pregnancy on reference gene stability. This study also signifies the importance of re-examining reference gene stability if the experimental conditions are changed, as shown with the introduction of pregnancy as a new factor in this research.

Selection and Validation of Reference Genes for qRT-PCR Analysis in the Oil-Rich Tuber Crop Tiger Nut (Cyperus esculentus) Based on Transcriptome Data.

Tiger nut (Cyperus esculentus), a perennial C4 plant of the Cyperaceae family, is an unconventional crop that is distinguished by its oil-rich tubers, which also possesses the advantages of strong resistance, wide adaptability, short life periods, and large biomass. To facilitate studies on gene expression in this species, we identified and validated a series of reference genes (RGs) based on transcriptome data, which can be employed as internal controls for qRT-PCR analysis in tiger nut. Fourteen putative candidate RGs were identified and evaluated across nine different tissues of two cultivars, and the RGs were analyzed using three different algorithms (geNorm, NormFinder, and BestKeeper). The stability rankings of the candidate RGs were merged into consensus lists with RankAggreg. For the below-ground storage organ of tiger nut, the optimal RGs were TUB4 and UCE2 in different developmental stages of tubers. UCE2 and UBL5 were the most stably expressed RGs among all tissues, while Rubisco and PGK exhibited the lowest expression stability. UCE2, UBL5 and Rubisco were compared to normalize the expression levels of the caleosin (CLO) and diacylglycerol acyltransferase 2-2 (DGAT2-2) genes across the same tissues. Our results showed that the RGs identified in this study, which exhibit more uniform expression patterns, may be utilized for the normalization of qRT-PCR results, promoting further research on gene expression in various tissues of tiger nut.

Hypozincemia in COVID-19 Patients Correlates With Stronger Antibody Response.

Zinc ion as an enzyme cofactor exhibits antiviral and anti-inflammatory activity during infection, but circulating zinc ion level during Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection is unclear. This study aimed to evaluate serum zinc ion level in Coronavirus Disease 2019 (COVID-19) patients and healthy subjects, as well as its correlation with antibodies against SARS-CoV-2. 114 COVID-19 patients and 48 healthy subjects (38 healthy volunteers and 10 close contacts of patients with COVID-19) were included. Zinc ion concentration and levels of antibodies against SARS-CoV-2 Spike 1 + Spike 2 proteins, nucleocapsid protein, and receptor-binding domain in serum were measured. Results showed that the concentration of zinc ion in serum from COVID-19 patients [median: 6.4 nmol/mL (IQR 1.5 - 12.0 nmol/mL)] were significantly lower than that from the healthy subjects [median: 15.0 nmol/mL (IQR 11.9 - 18.8 nmol/mL)] (p < 0.001) and the difference remained significant after age stratification (p < 0.001) or when the patients were at the recovery stage (p < 0.001). Furthermore, COVID-19 patients with more severe hypozincemia showed higher levels of IgG against the receptor-binding domain of SARS-CoV-2 spike protein. Further studies to confirm the effect of zinc supplementation on improving the outcomes of COVID-19, including antibody response against SARS-CoV-2, are warranted.

Pan-Cancer Biomarkers: Changing the Landscape of Molecular Testing.

CONTEXT.­: The increasing use of large panel next-generation sequencing technologies in clinical settings has facilitated the identification of pan-cancer biomarkers, which can be diagnostic, prognostic, predictive, or most importantly, actionable. OBJECTIVE.­: To discuss recently approved and emerging pan-cancer and multihistology biomarkers as well as testing methodologies. DATA SOURCES.­: The US Food and Drug Administration approval documents, National Comprehensive Cancer Network guidelines, literature, and authors' own publications. CONCLUSIONS.­: Since 2017, the US Food and Drug Administration has approved genotype-directed therapies for pan-cancer biomarkers, including microsatellite instability, neurotrophic receptor kinases fusions, and high-tumor mutation burden. Both the importance and rarity of these biomarkers have increased the prevalence of genomic profiling across solid malignancies. As an integral part of the management team of patients with advanced cancer, pathologists need to be aware of these emerging biomarkers, the therapies for which they determine eligibility, and the strengths and pitfalls of the available clinical assays.

Strand-specific detection of overlapping transcripts via purification involving denaturation of biotinylated cDNA.

Reverse transcription-PCR (RT-PCR) is the most widely employed technique for gene expression analysis owing to its high sensitivity, easy reproducibility and fast output. It has been conceived that priming RT reactions with gene-specific primers generates cDNA only from the specific RNA. However, several reports have revealed that cDNA is synthesized even without addition of exogenous primers in RT reactions. Owing to such self-priming activity, the signals from specific strands cannot be accurately detected and can confound the expression analysis, especially in context of overlapping bidirectional transcripts. Here, we demonstrate that purification of biotin-tagged cDNA in conjunction with alkaline denaturation can obviate the problem of background priming and enable accurate strand-specific detection of overlapping transcripts.

Dynamics of clusterin protein expression in the brain and plasma following experimental traumatic brain injury.

Progress in the preclinical and clinical development of neuroprotective and antiepileptogenic treatments for traumatic brain injury (TBI) necessitates the discovery of prognostic biomarkers for post-injury outcome. Our previous mRNA-seq data revealed a 1.8-2.5 fold increase in clusterin mRNA expression in lesioned brain areas in rats with lateral fluid-percussion injury (FPI)-induced TBI. On this basis, we hypothesized that TBI leads to increases in the brain levels of clusterin protein, and consequently, increased plasma clusterin levels. For evaluation, we induced TBI in adult male Sprague-Dawley rats (n = 80) by lateral FPI. We validated our mRNA-seq findings with RT-qPCR, confirming increased clusterin mRNA levels in the perilesional cortex (FC 3.3, p < 0.01) and ipsilateral thalamus (FC 2.4, p < 0.05) at 3 months post-TBI. Immunohistochemistry revealed a marked increase in extracellular clusterin protein expression in the perilesional cortex and ipsilateral hippocampus (7d to 1 month post-TBI), and ipsilateral thalamus (14d to 12 months post-TBI). In the thalamus, punctate immunoreactivity was most intense around activated microglia and mitochondria. Enzyme-linked immunoassays indicated that an acute 15% reduction, rather than an increase in plasma clusterin levels differentiated animals with TBI from sham-operated controls (AUC 0.851, p < 0.05). Our findings suggest that plasma clusterin is a candidate biomarker for acute TBI diagnosis.

Removing DNA Contamination from RNA Samples by Treatment with RNase-Free DNase I.

RNA samples prepared using monophasic lysis reagents may contain small amounts of contaminating genomic DNA, which must be removed if the RNA will be used in subsequent analyses such as reverse transcriptase-polymerase chain reaction (RT-PCR) or quantitative real-time RT-PCR. In addition, the presence of contaminating DNA can render the quantitative determination of RNA in a sample inaccurate. The most common and effective method for removing trace to moderate amounts of DNA contamination from RNA samples is digestion with DNase I, as described here.

Influenza A (H3) Outbreak at a Hurricane Harvey Megashelter in Harris County, Texas: Successes and Challenges in Disease Identification and Control Measure Implementation.

ABSTRACTWhen Hurricane Harvey landed along the Texas coast on August 25, 2017, it caused massive flooding and damage and displaced tens of thousands of residents of Harris County, Texas. Between August 29 and September 23, Harris County, along with community partners, operated a megashelter at NRG Center, which housed 3365 residents at its peak. Harris County Public Health conducted comprehensive public health surveillance and response at NRG, which comprised disease identification through daily medical record reviews, nightly "cot-to-cot" resident health surveys, and epidemiological consultations; messaging and communications; and implementation of control measures including stringent isolation and hygiene practices, vaccinations, and treatment. Despite the lengthy operation at the densely populated shelter, an early seasonal influenza A (H3) outbreak of 20 cases was quickly identified and confined. Influenza outbreaks in large evacuation shelters after a disaster pose a significant threat to populations already experiencing severe stressors. A holistic surveillance and response model, which consists of coordinated partnerships with onsite agencies, in-time epidemiological consultations, predesigned survey tools, trained staff, enhanced isolation and hygiene practices, and sufficient vaccines, is essential for effective disease identification and control. The lessons learned and successes achieved from this outbreak may serve for future disaster response settings. (Disaster Med Public Health Preparedness. 2019;13:97-101).

Selection and Validation of Reference Genes for Gene Expression Studies by RT-PCR in Dalbergia odorifera.

Perennial tree Dalbergia odorifera T. Chen could form the precious heartwood used to produce chinese traditional medicine, rosewood furniture and fragrances. However the formation of heartwood is time-consuming and low efficient, leading to the severe destruction of its wild resources. Thus, it is urgent to study the molecular mechanism of heartwood formation in D. odorifera. But till now, there is no report about the reference gene selection in this species. In this study, the expression stability of nine candidate reference genes were evaluated across different tissues and stems treated by wound and chemical stimulators. Four algorithms were applied to obtain the robust genes. The results support HIS2, GAPDH, and CYP to be the most stable reference genes in samples under different wound treatments while DNAj was the least stable. In different tissues, HIS2, UBQ, and RPL were the most stable reference genes while DNAj was the least stable. The selected reference genes were validated through the normalization of the qRT-PCR data of six heartwood related genes in terpene biosynthesis pathway and ethylene signal pathway. The results showed that their expression levels were accurate when they were normalized by the most stable reference gene HIS2, or by the combination of the two or three most stable reference genes. These results demonstrated that these selected reference genes are reliable.

QRREM method for the isolation of high-quality RNA from the complex matrices of coconut.

Complex plant tissues vary in hardness, i.e. some are succulent, while others are complex to break. Besides, plant metabolites, such as polysaccharides, proteins, polyphenols and lipids, can greatly interfere with the RNA extraction. So, in order to obtain a high-quality RNA from the complex tissues (like coconut endosperm, coconut apple and coconut leaf bud) rich in secondary metabolites, a robust method is demanded. Several methods (MRIP, CTAB and TRIZOL) have been used previously for the isolation of quality RNA from the coconut tissues, but without any success. The present study will provide with the details of a new method (Quick and Reliable RNA Extraction Method or QRREM), which have efficiently isolated the intact RNA form the complex tissues of coconut compared with CTAB, Trizol and RNA plant. The method has been validated for the isolation of high-quality intact RNA from the other available plant species (Areca/betel nut, mint and spring onion). The method has various advantages over the other methods in terms of time and cost effectiveness. Furthermore, the resulted RNA from various tissues of coconut performed well in the downstream experiments, i.e. reverse transcription and PCR for the production and amplification of cDNA.

Fabrication of 3D continuous-flow reverse-transcription polymerase chain reaction microdevice integrated with on-chip fluorescence detection for semi-quantitative assessment of gene expression.

We fabricate a three-dimensional (3D) microdevice operated with minimal peripheral accessories, including a portable pump for semi-automated sample delivery and a single heater for temperature control, for performing reverse transcription polymerase chain reaction (RT-PCR) integrated with a downstream fluorescence detection module for semi-quantitative assessment of gene expression. The microdevice was fabricated by wrapping a polytetrafluoroethylene (PTFE) tube around a pre-designed polycarbonate mold to create a seamless microchannel for both the reverse transcription (RT) of RNA and the amplification of complementary DNA. In addition, a silicone tube, which underwent a two-step surface modification mediated by polyethyleneimine and glutaraldehyde coating, was connected at the outlet to capture amplicons downstream of the PTFE tube for on-site fluorescence detection. This fabrication method enabled continuous-flow RT-PCR (CF RT-PCR) using the 3D CF RT-PCR microdevice as a reactor, a single heater for the temperature control of both RT and PCR processes, and a disposable plastic syringe for semi-automated sample delivery. The microdevice was successfully implemented for the identification of the ß-actin gene, a constitutively expressed gene in all cells, and the sphingosine-1-phosphate lyase 1 gene, a potential pharmacological target gene in the diagnosis of cancer, diabetes, and atherosclerosis. This portable integrated microdevice offers a potential approach towards preliminary studies of gene expression and identification of RNA viruses.

Disponibilidad de técnicas moleculares para niños con tumores de difícil caracterización. Un problema en la Oncopatología pediátrica. Aplicación y difusión de técnicas de diagnóstico complementarias en el ámbito público / Availability of molecular techniques for children with difficult-to-characterize tumors. A problem in pediatric oncopathology. Application and diffusion of complementary diagnostic techniques in the public setting

La revolución de la biología molecular y el desarrollo de la investigación biomédica básica para el diagnóstico y posterior manejo del cáncer infantil han llevado a la necesidad de organización de grupos interdisciplinarios de profesionales, los cuales se encargan de afrontar los nuevos desafíos diagnósticos y terapéuticos. Los sarcomas indiferenciados pediátricos constituyen un grupo heterogéneo de neoplasias malignas de aspecto primitivo y polifenotípico. La categorización de gran parte de este tipo de tumores es posible gracias a la aplicación de técnicas moleculares complementarias al estudio histopatológico. El objetivo del presente estudio fue recategorizar sarcomas indiferenciados mediante la implementación de una nueva metodología diagnóstica. Se efectuaron técnicas de inmunohistoquimica (IHQ), FISH de interfase y RT-PCR a partir de tejido fijado en formol e incluido en parafina en 144 casos de sarcomas indiferenciados. Se logró la recategorización del 95.1% de los casos, arribando a 24 diagnósticos diferentes. Sólo un 4.9% permanece aún como sarcoma indiferenciado o inclasificable. Los resultados alcanzados por este estudio demuestran la importancia de contar con nuevas herramientas diagnósticas a nivel molecular y recursos humanos especializados que posibiliten su correcta implementación para el diagnóstico de neoplasias de difícil caracterización (AU)

The revolution of molecular biology and the development of basic medical research for the diagnosis and subsequent management of childhood cancer have led to a need to organize interdisciplinary groups of professionals in charge of facing new diagnostic and treatment challenges. Childhood undifferentiated sarcomas are a heterogeneous group of malignant neoplasms that are primitive in appearance and have polyphenotypic features. Categorization of a large part of this type of tumor has become possible with molecular techniques as a complement to histopathological studies. The aim of this study was to categorize undifferentiated sarcomas using new diagnostic tools. Immunohistochemistry (IHC), interfase FISH, and RT-PCR techniques were used on formalin-fixed and paraffin-embedded tissues of 144 cases of undifferentiated sarcomas. Overall, 95.1% of the cases could be recategorized resulting in 24 different diagnoses. In only 4.9% the diagnosis of undifferentiated or unclassifiable sarcoma was maintained. These results emphasize the importance of the availability of new diagnostic tools at the molecular level and specialized human resources enabling adequate implementation for the diagnosis of difficult-to-characterize neoplasms (AU)

Expression Stabilities of Ten Candidate Reference Genes for RT-qPCR in Zanthoxylum bungeanum Maxim.

Real-time reverse transcription quantitative PCR has become a common method for studying gene expression, however, the optimal selection of stable reference genes is a prerequisite for obtaining accurate quantification of transcript abundance. Suitable reference genes for RT-qPCR have not yet been identified for Chinese prickly ash (Zanthoxylum bungeanum Maxim.). Chinese prickly ash is the source of an important food seasoning in China. In recent years, Chinese prickly ash has also been developed as a medicinal plant. The expression stabilities of ten genes (18S, 28S, EF, UBA, UBQ, TIF, NTB, TUA, RPS, and TIF5A) were evaluated in roots, stems, leaves, flowers and fruits at five developmental stages and also under stress from cold, drought, and salt. To do this we used three different statistical algorithms: geNorm, NormFinder and BestKeeper. Among the genes investigated, UBA and UBQ were found to be most stable for the different cultivars and different tissues examined, UBQ and TIF for fruit developmental stage. Meanwhile, EF and TUA were most stable under cold treatment, EF and UBQ under drought treatment and NTB and RPS under salt treatment. UBA and UBQ for all samples evaluated were most stably expressed, but 18S, TUA and RPS were found to be generally unreliable as reference genes. Our results provide a basis for the future selection of reference genes for biological research with Chinese prickly ash, under a variety of conditions.

Reference gene selection for reverse transcription quantitative polymerase chain reaction in chicken hypothalamus under different feeding status.

This study was designed to investigate the stability of 10 candidate reference genes, namely ACTB, B2M, GAPDH, HMBS, LBR, POLR2B, RN18S, RPS17, TBP, and YWHAZ for the normalization of gene expression data obtained by quantitative real-time polymerase chain reaction (qPCR) in studies related to feed intake of chicken. Samples were isolated from hypothalamus under three different nutritional status (ad libitum, fasted for 24 hr, fasted for 24 hr then refed for 2 hr). Five different algorithms were applied for the analysis of reference gene stability: BestKeeper, geNorm, NormFinder, the comparative ΔCt method, and a novel approach using multivariate linear mixed-effects modelling for stable reference gene selection. TBP and POLR2B were identified as the two most suitable and B2M and RN18S as the two least stable reference genes for normalization. Despite our review, the current literature showing that RN18S is one of the most commonly used reference gene in chicken gene expression studies, its applicability for normalization should be evaluated before each qPCR experiment.

Integrated mRNA and microRNA transcriptome analysis reveals miRNA regulation in response to PVA in potato.

Potato (Solanum tuberosum L.) is the fourth most important crop worldwide. Potato virus A (PVA) is one of the most harmful viruses infecting potatoes. However, the molecular mechanisms governing the responses to PVA infection in potato at the transcriptional and post-transcriptional levels are not well understood. In this study, we performed both mRNA and small RNA sequencing in potato leaves to identify the genes and miRNAs involved in the response to PVA infection. A total of 2,062 differentially expressed genes (DEGs) and 201 miRNAs (DEMs) were identified, respectively. Gene ontology (GO) and KEGG analysis revealed that these DEGs were involved in the transduction of pathogen signals, transcriptional reprogramming, induction of hormone signaling, activation of pathogenesis-related (PR) genes, and changes in secondary metabolism. Small RNA sequencing revealed 58 miRNA-mRNA interactions related to PVA infection. Some of the miRNAs (stu-miR482d-3p, stu-miR397-5p, etc) which target PR genes showed negative correlations between the DEMs and DEGs. Eight of the DEGs and three DEMs with their target genes were further validated by quantitative real time-PCR (qRT-PCR). Overall, this study provides a transcriptome-wide insight into the molecular basis of resistance to PVA infection in potato leaves and potenital candidate genes for improving resistance cultivars.

Development of a fast and efficient method for hepatitis A virus concentration from green onion.

Hepatitis A virus (HAV) can cause serious liver disease and even death. HAV outbreaks are associated with the consumption of raw or minimally processed produce, making it a major public health concern. Infections have occurred despite the fact that effective HAV vaccine has been available. Development of a rapid and sensitive HAV detection method is necessary for an investigation of an HAV outbreak. Detection of HAV is complicated by the lack of a reliable culture method. In addition, due to the low infectious dose of HAV, these methods must be very sensitive. Current methods rely on efficient sample preparation and concentration steps followed by sensitive molecular detection techniques. Using green onions which was involved in most recent HAV outbreaks as a representative produce, a method of capturing virus particles was developed using carboxyl-derivatized magnetic beads in this study. Carboxyl beads, like antibody-coated beads or cationic beads, detect HAV at a level as low as 100 pfu/25g of green onions. RNA from virus concentrated in this manner can be released by heat-shock (98°C 5min) for molecular detection without sacrificing sensitivity. Bypassing the RNA extraction procedure saves time and removes multiple manipulation steps, which makes large scale HAV screening possible. In addition, the inclusion of beef extract and pectinase rather than NP40 in the elution buffer improved the HAV liberation from the food matrix over current methods by nearly 10 fold. The method proposed in this study provides a promising tool to improve food risk assessment and protect public health.

Transcript Quantification of Genes Involved in Steviol Glycoside Biosynthesis in Stevia rebaudiana Bertoni by Real-Time Polymerase Chain Reaction (RT-PCR).

Stevia (Stevia rebaudiana Bertoni) is a medicinal plant having sweet, diterpenoid glycosides known as steviol glycosides which are 200-300 times sweeter than sucrose (0.4 % solution). They are synthesized mainly in the leaves via plastid localized 2-C-methyl-D-erythrose-4-phosphate pathway (MEP pathway). Fifteen genes are involved in the formation of these glycosides. In the present protocol, a method for the quantification of transcripts of these genes is shown. The work involves RNA extraction and cDNA preparation, and therefore, procedures for the confirmation of DNA-free cDNA preparation have also been illustrated. Moreover, details of plant treatments are not mentioned as this protocol may apply to relative gene expression profile in any medicinal plant with any treatment. The treatments are numbered as T0 (Control), T1, T2, T3, and T4.

RNA sequencing analysis reveals new findings of hyperbaric oxygen treatment on rats with acute carbon monoxide poisoning.

OBJECTIVE: To elucidate the altered gene network in the brains of carbon monoxide (CO) poisoned rats after treatment with hyperbaric oxygen (HBO2). METHODS: RNA sequencing (RNA-seq) analysis was performed to examine differentially expressed genes (DEGs) in brain tissue samples from nine male rats: a normal control group; a CO poisoning group; and an HBO2 treatment group (three rats/group). Reverse transcription polymerase chain reaction (RT-PCR) and real-time quantitative PCR were used for validation of the DEGs in another 18 male rats (six rats/group). RESULTS: RNA-seq revealed that two genes were upregulated (4.18 and 8.76 log to the base 2 fold change) (p⟨0.05) in the CO-poisoned rats relative to the control rats; two genes were upregulated (3.88 and 7.69 log to the base 2 fold change); and 23 genes were downregulated (3.49-15.12 log to the base 2 fold change) (p⟨0.05) in the brains of the HBO2-treated rats relative to the CO-poisoned rats. Target prediction of DEGs by gene network analysis and analysis of pathways affected suggested that regulation of gene expressions of dopamine metabolism and nitric oxide (NO) synthesis were significantly affected by CO poisoning and HBO2 treatment. Results of RT-PCR and real-time quantitative PCR indicated that four genes (Pomc, GH-1, Pr1 and Fshß) associated with hormone secretion in the hypothalamic-pituitary system have potential as markers for prognosis of CO. CONCLUSION: This study is the first RNA-seq analysis profile of HBO2 treatment on rats with acute CO poisoning. It concludes that changes of hormone secretion in the hypothalamic-pituitary system, dopamine metabolism and NO synthesis involved in brain damage and behavior abnormalities after CO poisoning and HBO2 therapy may regulate these changes.

Increased sensitivity of RT-PCR for Potato virus Y detection using RNA isolated by a procedure with differential centrifugation.

The sensitivity of reverse transcription-polymerase chain reaction (RT-PCR) for virus detection is influenced by many factors such as specificity of primers and quality of templates. These factors become extremely important for successful detection when virus concentration is low. Total RNA isolated from Potato virus Y (PVY)-infected potato plants using the sodium sulfite RNA isolation method or RNeasy plant mini kit contains a high proportion of host RNA and may also contain trace amount of phenolic and polysaccharide residues, which may inhibit RT-PCR. The goal of this study was to enhance the sensitivity of PVY detection by reducing host RNA in the extract by differential centrifugation followed by extraction using an RNeasy mini kit (DCR method). One-step RT-PCR had relatively low amplification efficiency for PVY RNA when a high proportion of plant RNA was present. SYBR Green-based real time RT-PCR showed that the RNA isolated by the DCR method had a higher cycle threshold value (Ct) for the elongation factor 1-α mRNA (Ef1α) of potato than the Ct value of the RNA extracted using the RNeasy plant mini kit, indicating that the DCR method significantly reduced the proportion of potato RNA in the extract. The detectable amount of RNA extracted using the DCR method was <0.001ng when plant sap from 10 PVY-infected and PVY-free potato leaflets in a 1.5:100 fresh weight ratio was extracted, compared with 0.01 and 0.02ng of RNA using the RNeasy plant mini kit and sodium sulfite RNA isolation methods, respectively.