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https://www.readbyqxmd.com/read/28434161/can-valproic-acid-regulate-neurogenesis-from-nestin-cells-in-the-adult-midbrain
#1
Parisa Farzanehfar, Malcolm K Horne, Tim D Aumann
Degeneration of dopamine (DA) neurons in the substantia nigra pars compacta (SNc) causes the motor symptoms (e.g. tremor, muscle rigidity, bradykinesia, postural instability) of Parkinson's disease (PD). It is generally agreed that replacing these neurons will provide better motor symptom relief and fewer side effects than current pharmacotherapies. One potential approach to this is up-regulating endogenous DA neurogenesis in SNc. In the present study, we conducted bioinformatics analyses to identify signalling pathways that control expression of Pax6 and Msx1 genes, which have been identified as potentially important neurogenic regulators in the adult midbrain...
April 22, 2017: Neurochemical Research
https://www.readbyqxmd.com/read/28433932/the-unseen-rhizosphere-root-soil-microbe-interactions-for-crop-production
#2
REVIEW
Ruifu Zhang, Jorge M Vivanco, Qirong Shen
The underground root-soil-microbe interactions are extremely complex, but vitally important for aboveground plant growth, health and fitness. The pressure to reduce our reliance on agrochemicals, and sustainable efforts to develop agriculture makes rhizosphere interactions' research a hotspot. Recent advances provide new insights about the signals, pathways, functions and mechanisms of these interactions. In this review, we provide an overview about recent progress in rhizosphere interaction networks in crops...
April 20, 2017: Current Opinion in Microbiology
https://www.readbyqxmd.com/read/28433665/advancing-the-science-of-myocardial-recovery-with-mechanical-circulatory-support-a-working-group-of-the-national-heart-lung-and-blood-institute
#3
Stavros G Drakos, Francis D Pagani, Martha S Lundberg, J Timothy Baldwin
The medical burden of heart failure (HF) has spurred interest in clinicians and scientists to develop therapies to restore the function of a failing heart. To advance this agenda, the National Heart Lung Blood Institute (NHLBI) convened a Working Group of experts on June 2-3, 2016 in Bethesda Maryland to develop recommendations for the NHLBI aimed at advancing the science of cardiac recovery in the setting of mechanical circulatory support (MCS). MSC devices effectively reduce volume and pressure overload that drives the cycle of progressive myocardial dysfunction, thereby triggering structural and functional reverse remodeling...
April 19, 2017: Journal of Cardiac Failure
https://www.readbyqxmd.com/read/28433658/molecular-cloning-of-esr2-and-gene-expression-analysis-of-esr1-and-esr2-in-the-pituitary-gland-of-the-chinese-alligator-alligator-sinensis-during-female-reproductive-cycle
#4
Ruidong Zhang, Yanan Yin, Long Sun, Peng Yan, Yongkang Zhou, Rong Wu, Xiaobing Wu
Estrogens play critical roles in reproductive physiology via estrogen receptors (ESRs) in vertebrates, including reptiles. Chinese alligator (Alligator sinensis) is an endemic and endangered reptile species in China. In the present study, we cloned ESR2 gene from the ovary using rapid amplification of cDNA ends (RACE), investigated the spatial expression of ESRs in various tissues and temporal expression of ESRs in the pituitary glands during the reproductive cycle in Chinese alligators by quantitative real-time PCR (qPCR)...
April 19, 2017: Gene
https://www.readbyqxmd.com/read/28433619/lack-of-pathogenic-mutations-in-sos1-gene-in-phenytoin-induced-gingival-overgrowth-patients
#5
Katia Margiotti, Giulia Pascolini, Federica Consoli, Valentina Guida, Carlo Di Bonaventura, Anna Teresa Giallonardo, Antonio Pizzuti, Alessandro De Luca
OBJECTIVE: Gingival overgrowth is a side effect associated with some distinct classes of drugs, such as anticonvulsants, immunosuppressants, and calcium channel blockers. One of the main drugs associated with gingival overgrowth is the antiepileptic phenytoin, which affects gingival tissues by altering extracellular matrix metabolism. It has been shown that mutation of human SOS1 gene is responsible for a rare hereditary gingival fibromatosis type 1, a benign gingival overgrowth. The aim of the present study is to evaluate the possible contribution of SOS1 mutation to gingival overgrowth-related phenotype...
April 5, 2017: Archives of Oral Biology
https://www.readbyqxmd.com/read/28433051/insect-specific-viruses-a-historical-overview-and-recent-developments
#6
Christopher M Roundy, Sasha R Azar, Shannan L Rossi, Scott C Weaver, Nikos Vasilakis
Arthropod-borne viruses (arboviruses) have in recent years become a tremendous global health concern resulting in substantial human morbidity and mortality. With the widespread utilization of molecular technologies such as next-generation sequencing and the advancement of bioinformatics tools, a new age of viral discovery has commenced. Many of the novel agents being discovered in recent years have been isolated from mosquitoes and exhibit a highly restricted host range. Strikingly, these insect-specific viruses have been found to be members of viral families traditionally associated with human arboviral pathogens, including but not limited to the families Flaviviridae, Togaviridae, Reoviridae, and Bunyaviridae...
2017: Advances in Virus Research
https://www.readbyqxmd.com/read/28432618/the-identification-of-key-genes-and-pathways-in-hepatocellular-carcinoma-by-bioinformatics-analysis-of-high-throughput-data
#7
Chaoyang Zhang, Li Peng, Yaqin Zhang, Zhaoyang Liu, Wenling Li, Shilian Chen, Guancheng Li
Liver cancer is a serious threat to public health and has fairly complicated pathogenesis. Therefore, the identification of key genes and pathways is of much importance for clarifying molecular mechanism of hepatocellular carcinoma (HCC) initiation and progression. HCC-associated gene expression dataset was downloaded from Gene Expression Omnibus database. Statistical software R was used for significance analysis of differentially expressed genes (DEGs) between liver cancer samples and normal samples. Gene Ontology (GO) term enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, based on R software, were applied for the identification of pathways in which DEGs significantly enriched...
June 2017: Medical Oncology
https://www.readbyqxmd.com/read/28431938/selective-inhibition-of-ezh2-by-a-small-molecule-inhibitor-regulates-microglial-gene-expression-essential-for-inflammation
#8
Sarder Arifuzzaman, Amitabh Das, Sun Hwa Kim, Taeho Yoon, Young Seek Lee, Kyoung Hwa Jung, Young Gyu Chai
Multiple studies have documented that Enhancer of zeste homolog 2 (EZH2) could play a role in inflammation and a wide range of malignancies; however, the underlying mechanisms remain largely unaddressed. Microglial activation is a key process in the production and release of numerous pro-inflammatory mediators that play important roles in inflammation and neurodegeneration in the central nervous system (CNS). Therefore, our aim was to investigate whether inhibition of EZH2 with the selective small molecule inhibitor EPZ-6438 protects against neonatal microglial activation...
April 18, 2017: Biochemical Pharmacology
https://www.readbyqxmd.com/read/28431529/hirbin-high-resolution-identification-of-differentially-abundant-functions-in-metagenomes
#9
Tobias Ă–sterlund, Viktor Jonsson, Erik Kristiansson
BACKGROUND: Gene-centric analysis of metagenomics data provides information about the biochemical functions present in a microbiome under a certain condition. The ability to identify significant differences in functions between metagenomes is dependent on accurate classification and quantification of the sequence reads (binning). However, biological effects acting on specific functions may be overlooked if the classes are too general. METHODS: Here we introduce High-Resolution Binning (HirBin), a new method for gene-centric analysis of metagenomes...
April 21, 2017: BMC Genomics
https://www.readbyqxmd.com/read/28431525/membrane-enriched-proteome-changes-and-prion-protein-expression-during-neural-differentiation-and-in-neuroblastoma-cells
#10
J A Macedo, D Schrama, I Duarte, E Tavares, J Renaut, M E Futschik, P M Rodrigues, E P Melo
BACKGROUND: The function of the prion protein, involved in the so-called prion diseases, remains a subject of intense debate and the possibility that it works as a pleiotropic protein through the interaction with multiple membrane proteins is somehow supported by recent reports. Therefore, the use of proteomic and bioinformatics combined to uncover cellular processes occurring together with changes in the expression of the prion protein may provide further insight into the putative pleiotropic role of the prion protein...
April 22, 2017: BMC Genomics
https://www.readbyqxmd.com/read/28431355/genome-wide-identification-and-analysis-of-the-populus-trichocarpa-tify-gene-family
#11
Yue Wang, Feng Pan, Danmei Chen, Wenyuan Chu, Huanlong Liu, Yan Xiang
The plant-specific TIFY proteins are widely present in land plants and play the important roles in the regulation of plant stress-responses. In this study, we carried out a bioinformatics analysis of TIFY genes in Populus trichocarpa by determining the phylogenetic relationship, chromosomal location and gene structure and expression profiles analysis under stresses. The 24 TIFY genes were identified and classified into four subfamilies (ZML, JAZ, PPD and TIFY). The 24 TIFY genes were irregularly located on 13 of the 19 chromosomes; ten gene pairs were involved in large-scale interchromosomal segmental duplication events; we identified 17 collinear TIFY gene pairs in the Populus trichocarpa genome...
April 13, 2017: Plant Physiology and Biochemistry: PPB
https://www.readbyqxmd.com/read/28431272/specific-microrna-mrna-regulatory-network-of-colon-cancer-invasion-mediated-by-tissue-kallikrein-related-peptidase-6
#12
Earlphia Sells, Ritu Pandey, Hwudaurw Chen, Bethany A Skovan, Haiyan Cui, Natalia A Ignatenko
Metastatic colon cancer is a major cause of deaths among colorectal cancer (CRC) patients. Elevated expression of kallikrein 6 (KLK6), a member of a kallikrein subfamily of peptidase S1 family serine proteases, has been reported in CRC and is associated with low patient survival rates and poor disease prognosis. We knocked down KLK6 expression in HCT116 colon cancer cells to determine the significance of KLK6 expression for metastatic dissemination and to identify the KLK6-associated microRNAs (miRNAs) signaling networks in metastatic colon cancer...
April 18, 2017: Neoplasia: An International Journal for Oncology Research
https://www.readbyqxmd.com/read/28431173/programmatic-access-to-bioinformatics-tools-from-embl-ebi-update-2017
#13
Szymon Chojnacki, Andrew Cowley, Joon Lee, Anna Foix, Rodrigo Lopez
Since 2009 the EMBL-EBI provides free and unrestricted access to several bioinformatics tools via the user's browser as well as programmatically via Web Services APIs. Programmatic access to these tools, which is fundamental to bioinformatics, is increasingly important as more high-throughput data is generated, e.g. from proteomics and metagenomic experiments. Access is available using both the SOAP and RESTful approaches and their usage is reviewed regularly in order to ensure that the best, supported tools are available to all users...
April 20, 2017: Nucleic Acids Research
https://www.readbyqxmd.com/read/28431148/truncated-orf1-proteins-can-suppress-line-1-retrotransposition-in-trans
#14
Mark Sokolowski, May Chynces, Dawn deHaro, Claiborne M Christian, Victoria P Belancio
Long interspersed element 1 (L1) is an autonomous non-LTR retroelement that is active in mammalian genomes. Although retrotranspositionally incompetent and functional L1 loci are present in the same genomes, it remains unknown whether non-functional L1s have any trans effect on mobilization of active elements. Using bioinformatic analysis, we identified over a thousand of human L1 loci containing at least one stop codon in their ORF1 sequence. RNAseq analysis confirmed that many of these loci are expressed...
April 20, 2017: Nucleic Acids Research
https://www.readbyqxmd.com/read/28431087/a-method-for-learning-a-sparse-classifier-in-the-presence-of-missing-data-for-high-dimensional-biological-datasets
#15
Kristen Severson, Brinda Monian, J Christopher Love, Richard D Braatz
Motivation: This work addresses two common issues in building classification models for biological or medical studies: learning a sparse model, where only a subset of a large number of possible predictors is used, and training in the presence of missing data. This work focuses on supervised generative binary classification models, specifically linear discriminant analysis (LDA). The parameters are determined using an expectation maximization algorithm to both address missing data and introduce priors to promote sparsity...
April 18, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28430977/deep-mining-heterogeneous-networks-of-biomedical-linked-data-to-predict-novel-drug-target-associations
#16
Nansu Zong, Hyeoneui Kim, Victoria Ngo, Olivier Harismendy
Motivation: A heterogeneous network topology possessing abundant interactions between biomedical entities has yet to be utilized in similarity-based methods for predicting drug-target associations based on the array of varying features of drugs and their targets. Deep learning reveals features of vertices of a large network that can be adapted in accommodating the similarity-based solutions to provide a flexible method of drug-target prediction. Results: We propose a similarity-based drug-target prediction method that enhances existing association discovery methods by using a topology-based similarity measure...
April 18, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28430949/capturing-non-local-interactions-by-long-short-term-memory-bidirectional-recurrent-neural-networks-for-improving-prediction-of-protein-secondary-structure-backbone-angles-contact-numbers-and-solvent-accessibility
#17
Rhys Heffernan, Yuedong Yang, Kuldip Paliwal, Yaoqi Zhou
Motivation: The accuracy of predicting protein local and global structural properties such as secondary structure and solvent accessible surface area has been stagnant for many years because of the challenge of accounting for non-local interactions between amino acid residues that are close in three-dimensional structural space but far from each other in their sequence positions. All existing machine-learning techniques relied on a sliding window of 10-20 amino acid residues to capture some "short to intermediate" non-local interactions...
April 18, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28430873/bioinformatics-in-germany-toward-a-national-level-infrastructure
#18
Andreas Tauch, Arwa Al-Dilaimi
The German Network for Bioinformatics Infrastructure (de.NBI) is a national initiative funded by the German Federal Ministry of Education and Research (BMBF). The mission of de.NBI is (i) to provide high-quality bioinformatics services to users in basic and applied life sciences research from academia, industry and biomedicine; (ii) to offer bioinformatics training to users in Germany and Europe through a wide range of workshops and courses; and (iii) to foster the cooperation of the German bioinformatics community with international network structures such as the European life-sciences Infrastructure for biological Information (ELIXIR)...
April 18, 2017: Briefings in Bioinformatics
https://www.readbyqxmd.com/read/28430871/cluspro-peptidock-efficient-global-docking-of-peptide-recognition-motifs-using-fft
#19
Kathryn A Porter, Bing Xia, Dmitri Beglov, Tanggis Bohnuud, Nawsad Alam, Ora Schueler-Furman, Dima Kozakov
Summary: We present an approach for the efficient docking of peptide motifs to their free receptor structures. Using a motif based search, we can retrieve structural fragments from the Protein Data Bank (PDB) that are very similar to the peptide's final, bound conformation. We use a Fast Fourier Transform (FFT) based docking method to quickly perform global rigid body docking of these fragments to the receptor. According to CAPRI peptide docking criteria, an acceptable conformation can often be found among the top-ranking predictions...
April 18, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28430868/most-visualization-software-for-producing-automated-textbook-style-maps-of-genome-scale-metabolic-networks
#20
James J Kelley, Shay Maor, Min Kyung Kim, Anatoliy Lane, Desmond S Lun
Summary: Visualization of metabolites, reactions and pathways in genome-scale metabolic networks (GEMs) can assist in understanding cellular metabolism. Three attributes are desirable in software used for visualizing GEMs: 1. automation, since GEMs can be quite large; 2. production of understandable maps that provide ease in identification of pathways, reactions, and metabolites; and 3. visualization of the entire network to show how pathways are interconnected. No software currently exists for visualizing GEMs that satisfies all three characteristics, but MOST-Visualization, an extension of the software package MOST (Metabolic Optimization and Simulation Tool), satisfies (1), and by using a pre-drawn overview map of metabolism based on the Roche map satisfies (2) and comes close to satisfying (3)...
April 18, 2017: Bioinformatics
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