• Title/Summary/Keyword: Genetic Approach

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Five New Wood Decay Fungi (Polyporales and Hymenochaetales) in Korea

  • Kim, Nam Kyu;Park, Jae Young;Park, Myung Soo;Lee, Hyun;Cho, Hae Jin;Eimes, John A.;Kim, Changmu;Lim, Young Woon
    • Mycobiology
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    • v.44 no.3
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    • pp.146-154
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    • 2016
  • The wood decay fungi are a diverse taxonomic group that plays a pivotal role in forest carbon cycling. Wood decay fungi use various enzymatic pathways to digest dead or living wood in order to obtain carbon and other nutrients and these enzymatic systems have been exploited for both industrial and medical applications. Over 600 wood decay fungi species have been described in Korea; however, the recent application of molecular markers has dramatically altered the taxonomy of many of these wood decay fungi at both the genus and species levels. By combining molecular methods, specifically sequences of the internal transcribed spacer region, with traditional morphological characters, this study identified five new species records for Korea in five genera: Aurantiporus, Favolus, Neofavolus, Loweomyces, and Hymenochaetopsis. Three of these genera (Aurantiporus, Favolus, and Loweomyces) were previously unknown in Korea. The relatively simple morphology of the wood decay fungi often leads to ambiguous taxonomic assignment. Therefore, molecular markers are a necessary component of any taxonomic or evolutionary study of wood decay fungi. Our study highlights the need for a more robust and multifaceted approach in investigating new wood decay fungi in Korea.

The Review of Parkinson's Disease(PD) for Physical Therapist (파킨슨 질환에 대한 문헌적 고찰)

  • Kim, Jin-Ung;Ghang, Goon-Yong;Bae, Soo-Chan
    • The Journal of Korean Academy of Orthopedic Manual Physical Therapy
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    • v.8 no.2
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    • pp.73-87
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    • 2002
  • Parkinson's disease(PD) is a progressive neurodegenerative disease that affects the functioning of the basal ganglia, a brain area that contributes to the control of movement. The disease is caused by the death of nerve cells in the brain that produce dopamine, a chemical messenger. The cells affected usually produce a neurotransmitter(a chemical that transmits nerver impulses) called dopamine, which acts with acetylcholine, another neurotransmitter, to fine-tune muscle control. In Parkinson's disease, the level of dopamine relative to acetylcholine is reduced, adversely affecting muscle control. When the supply of dopamine is depleted, the function of the basal ganglia is disrupted and its ability to control movement deteriorates. The result is that PD patients experience moderate rigidity, difficulty in initiating movements and slowness in executing them, and a rhythmical tremor at rest. Although the cause of Parkinson's disease is not known, genetic factors may be involved. About 3 in 10 people with the disorder have an affected family member. About 1 in 100 people over the age of 60 in the US have Parkinson's disease. And Parkinson's disease is slightly more common in men. The course of the disease is variable, but drugs may be the best effective in treating the symptoms and improving quality of life. But, The doctor may arrange physical therapy to help with physical mobility problems. It is important to continue to exercise and take care of your general health. Try to take a walk each day. Stretching exercises can help you maintain your strength and mobility. So, This papers will serve about the information of PD for clinical physical therapist. Finally, The aim of review is increasing approach method and technique for PD patients by the view of physical therapy.

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Gene Expression Profiling of Intrahepatic Cholangiocarcinoma

  • Subrungruang, Ittisak;Thawornkuno, Charin;Chawalitchewinkoon-Petmitr, Porntip;Pairojkul, Chawalit;Wongkham, Sopit;Petmitr, Songsak
    • Asian Pacific Journal of Cancer Prevention
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    • v.14 no.1
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    • pp.557-563
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    • 2013
  • Intrahepatic cholangiocarcinoma (ICC) is ranked as one of the top five causes of cancer-related deaths. ICC in Thai patients is associated with infection with the liver fluke, Opisthorchis viverrini, but the molecular basis for development remains unclear. The present study employed a microarray approach to compare gene expression profiles of ICCs and normal liver tissues from the same patients residing in Northeast Thailand, a region with a high prevalence of liver fluke infection. In ICC samples, 2,821 and 1,361 genes were found to be significantly up- and down-regulated respectively (unpaired t-test, p<0.05; fold-change ${\gep}2.0$). For validation of the microarray results, 7 up-regulated genes (FXYD3, GPRC5A, CEACAM5, MUC13, EPCAM, TMC5, and EHF) and 3 down-regulated genes (CPS1, TAT, and ITIH1) were selected for confirmation using quantitative RT-PCR, resulting in 100% agreement. The metallothionine heavy metal pathway contains the highest percentage of genes with statistically significant changes in expression. This study provides exon-level expression profiles in ICC that should be fruitful in identifying novel genetic markers for classifying and possibly early diagnosis of this highly fatal type of cholangiocarcinoma.

Fruit Fly Optimization based EEG Channel Selection Method for BCI (BCI 시스템을 위한 Fruit Fly Optimization 알고리즘 기반 최적의 EEG 채널 선택 기법)

  • Yu, Xin-Yang;Yu, Je-Hun;Sim, Kwee-Bo
    • Journal of Institute of Control, Robotics and Systems
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    • v.22 no.3
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    • pp.199-203
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    • 2016
  • A brain-computer interface or BCI provides an alternative method for acting on the world. Brain signals can be recorded from the electrical activity along the scalp using an electrode cap. By analyzing the EEG, it is possible to determine whether a person is thinking about his/her hand or foot movement and this information can be transferred to a machine and then translated into commands. However, we do not know which information relates to motor imagery and which channel is good for extracting features. A general approach is to use all electronic channels to analyze the EEG signals, but this causes many problems, such as overfitting and problems removing noisy and artificial signals. To overcome these problems, in this paper we used a new optimization method called the Fruit Fly optimization algorithm (FOA) to select the best channels and then combine them with CSP method to extract features to improve the classification accuracy by linear discriminant analysis. We also used particle swarm optimization (PSO) and a genetic algorithm (GA) to select the optimal EEG channel and compared the performance with that of the FOA algorithm. The results show that for some subjects, the FOA algorithm is a better method for selecting the optimal EEG channel in a short time.

Prediction of Non-Genotoxic Carcinogenicity Based on Genetic Profiles of Short Term Exposure Assays

  • Perez, Luis Orlando;Gonzalez-Jose, Rolando;Garcia, Pilar Peral
    • Toxicological Research
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    • v.32 no.4
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    • pp.289-300
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    • 2016
  • Non-genotoxic carcinogens are substances that induce tumorigenesis by non-mutagenic mechanisms and long term rodent bioassays are required to identify them. Recent studies have shown that transcription profiling can be applied to develop early identifiers for long term phenotypes. In this study, we used rat liver expression profiles from the NTP (National Toxicology Program, Research Triangle Park, USA) DrugMatrix Database to construct a gene classifier that can distinguish between non-genotoxic carcinogens and other chemicals. The model was based on short term exposure assays (3 days) and the training was limited to oxidative stressors, peroxisome proliferators and hormone modulators. Validation of the predictor was performed on independent toxicogenomic data (TG-GATEs, Toxicogenomics Project-Genomics Assisted Toxicity Evaluation System, Osaka, Japan). To build our model we performed Random Forests together with a recursive elimination algorithm (VarSelRF). Gene set enrichment analysis was employed for functional interpretation. A total of 770 microarrays comprising 96 different compounds were analyzed and a predictor of 54 genes was built. Prediction accuracy was 0.85 in the training set, 0.87 in the test set and increased with increasing concentration in the validation set: 0.6 at low dose, 0.7 at medium doses and 0.81 at high doses. Pathway analysis revealed gene prominence of cellular respiration, energy production and lipoprotein metabolism. The biggest target of toxicogenomics is accurately predict the toxicity of unknown drugs. In this analysis, we presented a classifier that can predict non-genotoxic carcinogenicity by using short term exposure assays. In this approach, dose level is critical when evaluating chemicals at early time points.

PCR Identification and Phylogenetic Analysis of Trichomonas gallinae from Domestic Pigeons in Guangzhou, China

  • Qiu, Shen-Ben;Lv, Meng-Na;He, Xi;Weng, Ya-Biao;Zou, Shang-Shu;Wang, Xin-Qiu;Lin, Rui-Qing
    • Parasites, Hosts and Diseases
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    • v.55 no.3
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    • pp.333-336
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    • 2017
  • Avian trichomoniasis caused by Trichomonas gallinae is a serious protozoan disease worldwide. The domestic pigeon (Columba livia domestica) is the main host for T. gallinae and plays an important role in the spread of the disease. Based on the internal transcribed spacers of nuclear ribosomal DNA of this parasite, a pair of primers (TgF2/TgR2) was designed and used to develop a PCR assay for the diagnosis of T. gallinae infection in domestic pigeons. This approach allowed the identification of T. gallinae, and no amplicons were produced when using DNA from other common avian pathogens. The minimum amount of DNA detectable by the specific PCR assay developed in this study was 15 pg. Clinical samples from Guangzhou, China, were examined using this PCR assay and a standard microscopy method, and their molecular characteristics were determined by phylogenetic analysis. All of the T. gallinae-positive samples detected by microscopic examination were also detected as positive by the PCR assay. Most of the samples identified as negative by microscopic examination were detected as T. gallinae positive by the PCR assay and were confirmed by sequencing. The positive samples of T. gallinae collected from Guangzhou, China, were identified as T. gallinae genotype B by sequencing and phylogenetic analyses, providing relevant data for studying the ecology and population genetic structures of trichomonads and for the prevention and control of the diseases they cause.

GSTP1 Gene Ile105Val Polymorphism Causes an Elevated Risk for Bladder Carcinogenesis in Smokers

  • Pandith, Arshad Ahmad;Lateef, Adil;Shahnawaz, Sheikh;Hussain, Aashaq;Malla, Tahir Mohiuddin;Azad, Niyaz;Shehjar, Fahim;Salim, Mosin;Shah, Zafar Amin
    • Asian Pacific Journal of Cancer Prevention
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    • v.14 no.11
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    • pp.6375-6378
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    • 2013
  • Background: The glutathione S transferase (GST) family of enzymes plays a vital role in the phase II biotransformation of environmental carcinogens, pollutants, drugs and other xenobiotics. GSTs are polymorphic and polymorphisms in GST genes have been associated with cancer susceptibility and prognosis. GSTP1 is associated with risk of various cancers including bladder cancer. A case control study was conducted to determine the genotype distribution of GSTP1 A>G SNP, to elucidate the possible role of this SNP as a risk factor in urinary bladder cancer (UBC) development and to examine its correlation with clinico-pathologic variables inUBC cases. Materials and Methods: Using the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) approach, we tested the genotype distribution of 180 bladder cancer patients in comparison with 210 cancer-free controls from the same geographical region with matched frequency in age and gender. Results: We did not observe significant genotype differences between the control and bladder cancer patients overall with an odds ratio (OR)=1.23 (p>0.05). The rare allele (AG+GG) was found to be present more in cases (28.3%) than in controls (24%), though the association was not significant (p<0.05). However, a significant risk of more than 2-fold was found for the variant allele (AG+GG) with smokers in cases as compared to controls (p>0.05). Conclusions: Thus, it is evident from our study that GSTP1 SNP is not implicated overall in bladder cancer, but that the rare, valine-related allele is connected with higher susceptibility to bladder cancer in smokers and also males.

Gene Expression Profiling of Non-Hodgkin Lymphomas

  • Zekri, Abdel-Rahman Nabawy;Hassan, Zeinab Korany;Bahnassy, Abeer Ahmed;Eldahshan, Dina Hassan;El-Rouby, Mahmoud Nour Eldin;Kamel, Mahmoud Mohamed;Hafez, Mohamed Mahmoud
    • Asian Pacific Journal of Cancer Prevention
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    • v.14 no.7
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    • pp.4393-4398
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    • 2013
  • Background: Chromosomal translocations are genetic aberrations associated with specific non-Hodgkin lymphoma (NHL) subtypes. This study investigated the differential gene expression profile of Egyptian NHL cases based on a microarray approach. Materials and Methods: The study included tissue samples from 40 NHL patients and 20 normal lymph nodes used as controls. Total RNA was extracted and used for cDNA microarray assays. The quantitative real time polymerase chain reaction was used to identify the aberrantly expressed genes in cancer. Results: Significant associations of 8 up-regulated and 4 down-regulated genes with NHL were observed. Aberrant expression of a new group of genes not reported previously was apparent, including down-regulated NAG14 protein, 3 beta hydroxy-delta 5-c27 steroid oxi-reductase, oxi-glutarate dehydrogenase (lipo-amide), immunoglobulin lambda like polypeptide 3, protein kinase x linked, Hmt1, and caveolin 2 Tetra protein. The up-regulated genes were Rb binding protein 5, DKFZP586J1624 protein, protein kinase inhibitor gamma, zinc finger protein 3, choline ethanolamine phospho-transferase CEPT1, protein phosphatase, and histone deacetylase-3. Conclusions: This study revealed that new differentially expressed genes that may be markers for NHL patients and individuals who are at high risk for cancer development.

PRaDA : Web-based analyzer for Pathway Relation and Disease Associated SNP (웹 기반 단일염기다형성 연관 패스웨이 분석 도구)

  • Yu, Kijin;Park, Soo Ho;Ryu, Keun Ho
    • Journal of Digital Contents Society
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    • v.19 no.9
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    • pp.1795-1801
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    • 2018
  • Genome-Wide Association Study (GWAS) have been used to identify susceptibility genes for complex human diseases and many recent studies succeed to report common genetic factors for various diseases. Unfortunately, it is hard to understand all biological functions and mechanisms around the complex disease with GWAS only although the number of known associated genes with diseases is increased drastically because GWAS is a single locus based approach while not a gene but numerous factors may affect a disease associated pathways. PRaDA generates a combined report with genes, pathways and Gene Ontology (GO) using single nucleotide polymorphism (SNP) analysis output. The PRaDA reports not only directly associated pathways but also functionally related ones for identifying accumulated effects of low p-value SNPs. Through integrated information including indirect functional effects, user could have insights of overall disease mechanisms and markers.

Comparative proteome analysis of diploid and tetraploid root in Platycodon grandiflorum

  • Kwon, Soo Jeong;Roy, Swapan Kumar;Yoo, Jang-Hawan;Cho, Seong-Woo;Kim, Hag Hyun;Boo, Hee Ock;Woo, Sun-Hee
    • Proceedings of the Korean Society of Crop Science Conference
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    • 2017.06a
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    • pp.123-123
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    • 2017
  • In spite of the potential medicinal significance and a wide range of pharmacologic properties of Platycodon grandiflorum, the molecular mechanism of its roots is still unknown. The present study was conducted to profile proteins from 3, 4 and 5 months aged diploid and tetraploid roots of Platycodon grandiflorum using high throughput proteome approach. Two-dimensional gels stained with CBB, a total of 68 differential expressed proteins were identified from the diploid root out of 767 protein spots using image analysis by Progenesis SameSpot software. Out of total differential expressed spots, 29 differential expressed protein spots (${\geq}2-fold$) were analyzed using LTQ-FTICR MS whereas a total of 24 protein spots were up-regulated and 5 protein spots were down-regulated. On the contrary, in the case of tetraploid root, a total of 86 differential expressed proteins were identified from tetraploid root out of 1033 protein spots of which a total of 39 differential expressed protein spots (${\geq}2-fold$) were analyzed using LTQ-FTICR MS whereas a total of 21 protein spots were up-regulated and a total of 18 protein spots were down-regulated. It was revealed that the identified proteins from the explants were mainly associated with the nucleotide binding, oxidoreductase activity, transferase activity. Taken together, the identified proteins may be helpful to identify key candidate proteins for genetic improvement of plants.

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