3^rd International Conference on Transcriptomics October 30 - 31, 2017 Bangkok, Thailand

Biography:

Gyanendra Singh Sengar is a Research Scholar at Sam Higginbottom University of Agriculture, Technology and Sciences (SHUATS) in India. He has very vast expertise in the area of Molecular Genomics and Biotechnology. He has contributed as the author in peer-reviewed International and National research papers. He has obtained 5 years of research and teaching experience in the field of Molecular Biotechnology

Abstract:

MicroRNAs (miRNAs) are short non-coding RNA involved in post-transcriptional repression of genes by base-pairing with their target gene transcripts. During cellular stress responses, the miRNA play a key role by regulating the specificity, timing and concentration of gene expression. Various studies have shown the involvement of miRNA in wide array of biological processes such as cell-fate specification, embryonic development and metabolic pathways.  In dairy cattle, miRNA mediated regulations have been shown to regulate energy metabolism, lactation activity of mammary epithelial cells, reproductive functions and susceptibility to mastitis and other infections. We investigated that, a number of miRNAs are differentially expressed in dairy cattle breeds during peak summer compared to peak winter seasons. To characterize the stress response during peak summer we estimated different physiological and biochemical parameters including characterization of stress granules. Most of the overexpressed miRNAs were found to target heat shock responsive genes especially members of heat shock protein family and network analysis revealed most of them having stress-mediated effects on signaling mechanisms. We have also seen the in vitro effects of certain over expressed miRNAs on their conserved heat shock protein by reporter assay. Our studies provides the ground work for unrevealing the role of miRNA in thermal stress which may be thus helpful to develop miRNA based molecular biomarker for cellular thermo-tolerance in dairy cattle

Biography:

Binod Kumar Yadav is working as a President at Nuclear Analytical Methods in the Life Sciences in Nepal.

Abstract:

Women with alcohol dependence and PTSD with a history of IPV want help however the health and social services do not always recognize their calls for help or their symptoms of distress. Recommendations are made for treatment centers to become trauma-informed that would help this recognition. Women who have experienced intimate partner violence (IPV) are at greater risk for physical and mental health problems including Post Traumatic Stress Disorder (PTSD) and alcohol dependency. On their own IPV, PTSD and alcohol dependency result in significant personal, social and economic cost and the impact of all three may compound these costs. Researchers have reported that women with these experiences are more difficult to treat; many do not access treatment and those who do, frequently do not stay because of difficulty maintaining helping relationships. However, these women’s perspective has not been previously studied. The purpose of this study is to describe the experience of seeking help for alcohol dependency by women with PTSD and a history of IPV in the context in which it occurs

Biography:

Nehir Ozdemir Ozgenturk has been working at Yildiz Technical University since 2002. She completed her doctorate at Justus Liebieg University in Germany in 2000 by preparing the BAC library for sunflower. She is continuing her genomic researches by analyzing RNA seq and transcriptome analysis. The work she is going to present at this congress is a comparison of RNA seq analyzes obtained from mouse thymus

Abstract:

Hazelnut has become a valuable nutrient throughout the history. As it is used in cake and chocolate products as well as appetizers, its economic value is high since oil extraction from its plant. It is quite important plant and has high economic value for Turkey that 70% of world need is supplied from Turkey. A lot of hazelnut species grow in Turkey, but the most widespread species are Corylus avellana L. Tombul which has high economically value because of their special flavor and oil content and Turkish hazelnut Corylus colurna which is used for breeding as rootstock because of their resistance against extreme nature conditions. In this study, total RNA with RNeasy Plant Mini Kit (Qiagen) was isolated from filberts (cv. Tombul) and Turkish filberts young leaves, flowers (male and female), bud, husk, shoot from the collection of Giresun Hazelnut Research Institute. From this total RNA RNA pool was composed dafter processing of cleaning with RNA MinElute Kit (Qiagen). The concentration of RNA was measured with Bio-spec-nano UV-VIS Specthrophometer. Pair-end (2x100 bp) sequencing was performed using an Illumina HiSeq^TM 4000 sequencing system (Illumina) at Beijing Genomics Institute (BGI). As a pro-process, for converting of raw RNA-seq data into clean data, adaptors and low-quality reads were1 determined with FastQC and removed via FlexBar program. End this study a wide trascriptome analysis will be done for Anatolia originated two hazelnuts that most quality Tombul hazelnut (Corylus avellana L.) and used as rood stocks Turkish hazelnut (Corulus colurna L.) and this will be given wide information about their gene expression profile.

Biography:

Nandlal Bhojraj has his expertise in evaluation and passion in improving the oral health and wellbeing. He has been evaluating genomics and transcriptomics studies. He has been involved in methodology development studies on oral bio-films and bio-fluids and biomarkers and has academic and research methodology that utilizes the evaluation: measurement of disease and health. These research methodologies have been of recent interest in evaluating oral health care products effects on various conditions of oral cavity

Abstract:

Statement of the Problem: Analysis of transcriptome of cells present in saliva and buccal cheek provide key information about the expression of genes in healthy individuals. Knowledge about the expression profile of genes helps to determine the key players involved in keeping the oral health in good condition. However, to date, not much is known about the ideal sample, salivary cells or buccal cheek cells, to analyze for measuring the expression profile of genes. Therefore, in this study, we have compared the expression profile (at mRNA level) of cells collected from saliva of normal healthy individuals with the cells harvested from buccal cheek of the same individual.

Methodology & Theoretical Orientation: Total RNA was isolated from the cells present in saliva and buccal cheek of 15 young adults and quality assessed using TapeStation. The quality RNA was processed as shown in Image and differentially expressed genes identified. Genes were considered significantly differentially expressed, if their q values <0.05 from ANOVA tests and log2 Fold change value is above and below 1.

Findings: Quality RNA could be extracted from both saliva and buccal cheek cells, Yield of quality RNA is much better if the sample is buccal swab and among a total of 140 RNAs differentially expressed between saliva and buccal cheek cells, 15 genes found to be upregulated and 135 genes appeared to be down regulated.

Conclusion & Significance: In conclusion, results of this study demonstrate that the ideal sample for RNA isolation and subsequent transcriptome analysis is buccal cheek but not the saliva

Biography:

Yuriy L Orlov has wide expertise in bioinformatics and computer genomics. He developed computer programs for analysis of next-generation sequencing data. He is head of Computer Genomics Laboratory at Life Sciences Department, Novosibirsk State University, Russia. His area of interests include neuro-informatics, DNA sequence analysis, integration of genome annotation and expression data, statistical analysis of ChIP (Chromatin ImmunoPrecipitation) sequencing data (ChIP-seq, ChIA-PET) and Hi-C data. He is organizer of international conferences BGRS of series (Bioinformatics of Genome Regulation and Structure) and Young Scientists Schools on systems biology and bioinformatics (SBB series) in Novosibirsk since 1998.

Abstract:

Statement of the Problem: We consider problem of detection of genes responsible for glioma progression in cell cultures by RNA-seq. Diffused gliomas are the most common type of intracranial malignant neoplasm and account for more than 60% of all primary brain tumors. We revealed set of differently expressed genes and alternative splicing events in normal brain and glioma cell cultures.

Methodology & Theoretical Orientation: The primary cell culture samples from normal brain and secondary glioblastoma were processed for RNA extraction. This was followed by RNA-sequencing and filtration of reads (Trimmomatic). For assessment of gene expression level and finding differently expressed genes we used Cufflinks. Set of computer tools were used for sequencing data processing (TopHAt, rMATS).

Conclusion & Significance: The RNA-seq analysis of the cells cultures of normal brain and glioma confirmed association of genes with tumor progression. The results provide an experimental basis for the observation that hypothyroidism induction by administration of propylthiouracil is associated with improved survival in glioblastoma patients. Hypothyroidism may improve survival in animal models of cancer and recent clinical studies of tyrosine kinase inhibitor treatment of renal cell carcinoma patients have suggested that the side effect of hypothyroidism contributes to improved outcomes. Though sequencing technologies (RNA-seq) provide new data on gene expression presented in the databases, large collection of human clinical data keep importance of microarray data analysis, especially in many tissues and organs, including brain (such as BioGPS). We continue integration of transcriptomics data in brain cells using available databases. The work on alternative splicing opens new perspectives for cancer research in glioma continuing studies.

Biography:

Asif Khan completed his B.Sc (Hons) medical laboratory technology  in Rawalpindi Medical College.

Abstract:

Objective: To establish the reference ranges of standard amino acids in disease free neonatal population of northern Pakistan.

Place & Duration of Study: Study was conducted in AFIP Rawalpindi from September 2015 to May 2016.

Material & Methods: This was a descriptive cross sectional study carried out at military setup. The sampling technique was non probability random convenient. The calculated sample size was 100 and the study was completed in 1 year after approval. A total of 100 disease free neonates were included according to our inclusion criteria. Neonates with neurodevelopmental delay, with previous history of inborn errors of metabolism, neonates showing failure to thrive and those receiving drugs like; paracetamol, valproate and antibiotics and subjects with increased ammonia, pyruvate and lactate levels were excluded from the study. 2-3 ml fresh blood sample were collected in 0.5 ml lithium heparin containing tube. The sample was immediately transported to laboratory on dry ice then it was centrifuged at 3500 rpm for 5 minutes. 100 ul of plasma and 100 ul of sulfosalisylic acid (10%) was mixed, then vortex the mixture for 15 seconds and placed at 4 ℃ for 1 hour. Centrifuge this mixture at 10000 rpm for 5 minutes. A clear supernatant was obtained which was then filtered by 0.2 micron into a G.C vial. Then the sample was loaded onto the amino acid analyzer for quantitative determination of amino acids. Next step to the sample preparation is the amino acids analysis which was carried out by a dedicated high performance liquid chromatography amino acid analyzer (Biochrom 30+ AAA uk). In this instrument the mixture of buffer containing lithium citrate when loaded to the sample containing mixture of amino acids will be eluted in the cation exchange resin followed by a reaction with ninhydrin reagent (derivatizing agent), a purple and yellow color complex is formed which is detected by 440 nm and 570 nm wavelength. Amino acids which contains secondary amino group like proline and hydroxyprolin is detected at 440 nm and rest of the amino acids are detected at 570 nm wv. Then sample is collected and analyzed and data analysis by spss.

Results: Of the 100 neonates meeting the inclusive criteria 53 (35%) were male and the remaining 47 (47%) females. Results show most of the amino acids below the reference ranges provided by the manufacturer of the instrument.

Conclusion: In conclusion, we became able to establish reference ranges of plasma standard amino acids in healthy neonates with IEC by ninhydrin post-column derivatization. The reference intervals derived in the present study may be useful when applied to the diagnosis and monitoring of therapy in patients with a particular metabolic disease in neonatal population. There are some pre analytical variables that affect the plasma amino acids analysis like: hemolysis, icterus, buffy coat contamination and delayed transportation. They interfere with the quantification of amino acids by ion exchange chromatography.