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https://www.readbyqxmd.com/read/29435179/identifying-characteristic-mirnas-genes-and-risk-pathways-of-multiple-sclerosis-based-on-bioinformatics-analysis
#1
Deling Luo, Jin Fu
Multiple sclerosis is a chronic autoimmune disorder of the central nervous system. In MS, the genetic susceptibility is high and currently there is no effective treatment. MicroRNA, a small non-coding RNA, plays a vital role in immune responses. Aberrant or dysfunctional miRNAs may cause several diseases, including MS, thus miRNAs and miRNA related genes may be therapeutic weapons against MS. Here, we identified 21 miRNAs in peripheral blood mono-nuclear cells from over 600 persons, including healthy controls...
January 12, 2018: Oncotarget
https://www.readbyqxmd.com/read/29419817/investigation-of-the-spatial-structure-and-interactions-of-the-genome-at-sub-kilobase-pair-resolution-using-t2c
#2
Petros Kolovos, Rutger W W Brouwer, Christel E M Kockx, Michael Lesnussa, Nick Kepper, Jessica Zuin, A M Ali Imam, Harmen J G van de Werken, Kerstin S Wendt, Tobias A Knoch, Wilfred F J van IJcken, Frank Grosveld
Chromosome conformation capture (3C) and its derivatives (e.g., 4C, 5C and Hi-C) are used to analyze the 3D organization of genomes. We recently developed targeted chromatin capture (T2C), an inexpensive method for studying the 3D organization of genomes, interactomes and structural changes associated with gene regulation, the cell cycle, and cell survival and development. Here, we present the protocol for T2C based on capture, describing all experimental steps and bio-informatic tools in full detail. T2C offers high resolution, a large dynamic interaction frequency range and a high signal-to-noise ratio...
March 2018: Nature Protocols
https://www.readbyqxmd.com/read/29385081/disseminating-metaproteomic-informatics-capabilities-and-knowledge-using-the-galaxy-p-framework
#3
Clemens Blank, Caleb Easterly, Bjoern Gruening, James Johnson, Carolin A Kolmeder, Praveen Kumar, Damon May, Subina Mehta, Bart Mesuere, Zachary Brown, Joshua E Elias, W Judson Hervey, Thomas McGowan, Thilo Muth, Brook Nunn, Joel Rudney, Alessandro Tanca, Timothy J Griffin, Pratik D Jagtap
The impact of microbial communities, also known as the microbiome, on human health and the environment is receiving increased attention. Studying translated gene products (proteins) and comparing metaproteomic profiles may elucidate how microbiomes respond to specific environmental stimuli, and interact with host organisms. Characterizing proteins expressed by a complex microbiome and interpreting their functional signature requires sophisticated informatics tools and workflows tailored to metaproteomics. Additionally, there is a need to disseminate these informatics resources to researchers undertaking metaproteomic studies, who could use them to make new and important discoveries in microbiome research...
January 31, 2018: Proteomes
https://www.readbyqxmd.com/read/29363432/a-bioinformatics-potpourri
#4
EDITORIAL
Christian Schönbach, Jinyan Li, Lan Ma, Paul Horton, Muhammad Farhan Sjaugi, Shoba Ranganathan
The 16th International Conference on Bioinformatics (InCoB) was held at Tsinghua University, Shenzhen from September 20 to 22, 2017. The annual conference of the Asia-Pacific Bioinformatics Network featured six keynotes, two invited talks, a panel discussion on big data driven bioinformatics and precision medicine, and 66 oral presentations of accepted research articles or posters. Fifty-seven articles comprising a topic assortment of algorithms, biomolecular networks, cancer and disease informatics, drug-target interactions and drug efficacy, gene regulation and expression, imaging, immunoinformatics, metagenomics, next generation sequencing for genomics and transcriptomics, ontologies, post-translational modification, and structural bioinformatics are the subject of this editorial for the InCoB2017 supplement issues in BMC Genomics, BMC Bioinformatics, BMC Systems Biology and BMC Medical Genomics...
January 19, 2018: BMC Genomics
https://www.readbyqxmd.com/read/29316298/improving-the-safety-assessment-of-chemicals-and-drug-candidates-by-the-integration-of-bio-informatics-and-chemoinformatics-data
#5
Thomas Steger-Hartmann, Francois Pognan
The application of read-across and in silico tools for regulatory decision-making has been limited for pharmaceutical compounds to the assessment of genotoxic impurity. In contrast, the broad availability of toxicity data for industrial chemicals has triggered regulatory frameworks for read-across (e.g. ECHA read-across assessment framework), software tools and public databases for an automated process of gap filling for safety assessment framework. This MiniReview provides an overview of the currently existing in silico and read-across approaches for chemicals together with recent developments for pharmaceutical compounds in these areas...
January 7, 2018: Basic & Clinical Pharmacology & Toxicology
https://www.readbyqxmd.com/read/29234465/ten-quick-tips-for-machine-learning-in-computational-biology
#6
REVIEW
Davide Chicco
Machine learning has become a pivotal tool for many projects in computational biology, bioinformatics, and health informatics. Nevertheless, beginners and biomedical researchers often do not have enough experience to run a data mining project effectively, and therefore can follow incorrect practices, that may lead to common mistakes or over-optimistic results. With this review, we present ten quick tips to take advantage of machine learning in any computational biology context, by avoiding some common errors that we observed hundreds of times in multiple bioinformatics projects...
2017: BioData Mining
https://www.readbyqxmd.com/read/29226722/the-use-of-databases-data-mining-and-immunoinformatics-in-vaccinology-where-are-we
#7
Nagendra R Hegde, S Gauthami, H M Sampath Kumar, Jagadeesh Bayry
Vaccinology has evolved from a sub-discipline focussed on simplistic vaccine development based on antibody-mediated protection to a separate discipline involving epidemiology, host and pathogen biology, immunology, genomics, proteomics, structure biology, protein engineering, chemical biology, and delivery systems. Data mining in combination with bioinformatics has provided a scaffold linking all these disciplines to the design of vaccines and vaccine adjuvants. Areas covered: This review provides background knowledge on immunological aspects which have been exploited with informatics for the in silico analysis of immune responses and the design of vaccine antigens...
December 11, 2017: Expert Opinion on Drug Discovery
https://www.readbyqxmd.com/read/29226007/houston-methodist-variant-viewer-an-application-to-support-clinical-laboratory-interpretation-of-next-generation-sequencing-data-for-cancer
#8
Paul A Christensen, Yunyun Ni, Feifei Bao, Heather L Hendrickson, Michael Greenwood, Jessica S Thomas, S Wesley Long, Randall J Olsen
Introduction: Next-generation-sequencing (NGS) is increasingly used in clinical and research protocols for patients with cancer. NGS assays are routinely used in clinical laboratories to detect mutations bearing on cancer diagnosis, prognosis and personalized therapy. A typical assay may interrogate 50 or more gene targets that encompass many thousands of possible gene variants. Analysis of NGS data in cancer is a labor-intensive process that can become overwhelming to the molecular pathologist or research scientist...
2017: Journal of Pathology Informatics
https://www.readbyqxmd.com/read/29191560/msbis-a-multi-step-biomedical-informatics-screening-approach-for-identifying-medications-that-mitigate-the-risks-of-metoclopramide-induced-tardive-dyskinesia
#9
Dong Xu, Alexandrea G Ham, Rickey D Tivis, Matthew L Caylor, Aoxiang Tao, Steve T Flynn, Peter J Economen, Hung K Dang, Royal W Johnson, Vaughn L Culbertson
In 2009 the U.S. Food and Drug Administration (FDA) placed a black box warning on metoclopramide (MCP) due to the increased risks and prevalence of tardive dyskinesia (TD). In this study, we developed a multi-step biomedical informatics screening (MSBIS) approach leveraging publicly available bioactivity and drug safety data to identify concomitant drugs that mitigate the risks of MCP-induced TD. MSBIS includes (1) TargetSearch (http://dxulab.org/software) bioinformatics scoring for drug anticholinergic activity using CHEMBL bioactivity data; (2) unadjusted odds ratio (UOR) scoring for indications of TD-mitigating effects using the FDA Adverse Event Reporting System (FAERS); (3) adjusted odds ratio (AOR) re-scoring by removing the effect of cofounding factors (age, gender, reporting year); (4) logistic regression (LR) coefficient scoring for confirming the best TD-mitigating drug candidates...
November 22, 2017: EBioMedicine
https://www.readbyqxmd.com/read/29177666/computational-analysis-of-the-chaperone-interaction-networks
#10
Ashwani Kumar, Kamran Rizzolo, Sandra Zilles, Mohan Babu, Walid A Houry
We provide computational protocols to identify chaperone interacting proteins using a combination of both physical (protein-protein) and genetic (gene-gene or epistatic) interaction data derived from the published large-scale proteomic and genomic studies for the budding yeast Saccharomyces cerevisiae. Using these datasets, we discuss bioinformatic analyses that can be employed to build comprehensive high-fidelity chaperone interaction networks. Given that many proteins typically function as complexes in the cell, we highlight various step-wise approaches for combining both the genetic and physical interaction datasets to decipher intra- and inter-connections for distinct chaperone- and non-chaperone-containing complexes in the network...
2018: Methods in Molecular Biology
https://www.readbyqxmd.com/read/29154853/standards-and-guidelines-for-validating-next-generation-sequencing-bioinformatics-pipelines-a-joint-recommendation-of-the-association-for-molecular-pathology-and-the-college-of-american-pathologists
#11
REVIEW
Somak Roy, Christopher Coldren, Arivarasan Karunamurthy, Nefize S Kip, Eric W Klee, Stephen E Lincoln, Annette Leon, Mrudula Pullambhatla, Robyn L Temple-Smolkin, Karl V Voelkerding, Chen Wang, Alexis B Carter
Bioinformatics pipelines are an integral component of next-generation sequencing (NGS). Processing raw sequence data to detect genomic alterations has significant impact on disease management and patient care. Because of the lack of published guidance, there is currently a high degree of variability in how members of the global molecular genetics and pathology community establish and validate bioinformatics pipelines. Improperly developed, validated, and/or monitored pipelines may generate inaccurate results that may have negative consequences for patient care...
November 17, 2017: Journal of Molecular Diagnostics: JMD
https://www.readbyqxmd.com/read/29136101/identification-of-topological-features-in-renal-tumor-microenvironment-associated-with-patient-survival
#12
Jun Cheng, Xiaokui Mo, Xusheng Wang, Anil Parwani, Qianjin Feng, Kun Huang
Motivation: As a highly heterogeneous disease, the progression of tumor is not only achieved by unlimited growth of the tumor cells, but also supported, stimulated, and nurtured by the microenvironment around it. However traditional qualitative and/or semi-quantitative parameters obtained by pathologist's visual examination have very limited capability to capture this interaction between tumor and its microenvironment. With the advent of digital pathology, computerized image analysis may provide a better tumor characterization and give new insights into this problem...
November 9, 2017: Bioinformatics
https://www.readbyqxmd.com/read/29092930/developing-cancer-informatics-applications-and-tools-using-the-nci-genomic-data-commons-api
#13
Shane Wilson, Michael Fitzsimons, Martin Ferguson, Allison Heath, Mark Jensen, Josh Miller, Mark W Murphy, James Porter, Himanso Sahni, Louis Staudt, Yajing Tang, Zhining Wang, Christine Yu, Junjun Zhang, Vincent Ferretti, Robert L Grossman
The NCI Genomic Data Commons (GDC) was launched in 2016 and makes available over 4 petabytes (PB) of cancer genomic and associated clinical data to the research community. This dataset continues to grow and currently includes over 14,500 patients. The GDC is an example of a biomedical data commons, which collocates biomedical data with storage and computing infrastructure and commonly used web services, software applications, and tools to create a secure, interoperable, and extensible resource for researchers...
November 1, 2017: Cancer Research
https://www.readbyqxmd.com/read/29063563/findings-from-the-section-on-bioinformatics-and-translational-informatics
#14
H Dauchel, T Lecroq
Objective: To summarize excellent current research and propose a selection of best papers published in 2016 in the field of Bioinformatics and Translational Informatics with applications in the health domain and clinical care. Methods: We provide a synopsis of the articles selected for the IMIA Yearbook 2017, from which we attempt to derive a synthetic overview of current and future activities in the field. As in 2016, a first step of selection was performed by querying MEDLINE with a list of MeSH descriptors completed by a list of terms adapted to the section coverage...
August 2017: Yearbook of Medical Informatics
https://www.readbyqxmd.com/read/29054270/the-peptidome-comes-of-age-mass-spectrometry-based-characterization-of-the-circulating-cancer-peptidome
#15
David W Greening, Eugene A Kapp, Richard J Simpson
Peptides play a seminal role in most physiological processes acting as neurotransmitters, hormones, antibiotics, and immune regulation. In the context of tumor biology, it is hypothesized that endogenous peptides, hormones, cytokines, growth factors, and aberrant degradation of select protein networks (e.g., enzymatic activities, protein shedding, and extracellular matrix remodeling) are fundamental in mediating cancer progression. Analysis of peptides in biological fluids by mass spectrometry holds promise of providing sensitive and specific diagnostic and prognostic information for cancer and other diseases...
2017: Enzymes
https://www.readbyqxmd.com/read/28984207/the-international-conference-on-intelligent-biology-and-medicine-icibm-2016-summary-and-innovation-in-genomics
#16
EDITORIAL
Zhongming Zhao, Zhandong Liu, Ken Chen, Yan Guo, Genevera I Allen, Jiajie Zhang, W Jim Zheng, Jianhua Ruan
In this editorial, we first summarize the 2016 International Conference on Intelligent Biology and Medicine (ICIBM 2016) that was held on December 8-10, 2016 in Houston, Texas, USA, and then briefly introduce the ten research articles included in this supplement issue. ICIBM 2016 included four workshops or tutorials, four keynote lectures, four conference invited talks, eight concurrent scientific sessions and a poster session for 53 accepted abstracts, covering current topics in bioinformatics, systems biology, intelligent computing, and biomedical informatics...
October 3, 2017: BMC Genomics
https://www.readbyqxmd.com/read/28984189/the-international-conference-on-intelligent-biology-and-medicine-icibm-2016-from-big-data-to-big-analytical-tools
#17
EDITORIAL
Zhandong Liu, W Jim Zheng, Genevera I Allen, Yin Liu, Jianhua Ruan, Zhongming Zhao
The 2016 International Conference on Intelligent Biology and Medicine (ICIBM 2016) was held on December 8-10, 2016 in Houston, Texas, USA. ICIBM included eight scientific sessions, four tutorials, one poster session, four highlighted talks and four keynotes that covered topics on 3D genomics structural analysis, next generation sequencing (NGS) analysis, computational drug discovery, medical informatics, cancer genomics, and systems biology. Here, we present a summary of the nine research articles selected from ICIBM 2016 program for publishing in BMC Bioinformatics...
October 3, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/28978020/mitochondrial-biomarkers-predict-tumor-progression-and-poor-overall-survival-in-gastric-cancers-companion-diagnostics-for-personalized-medicine
#18
Federica Sotgia, Michael P Lisanti
Here, we employed a bioinformatics approach to identify novel molecular determinants to predict tumor progression and overall survival in gastric cancer patients. In particular, we directly assessed whether nuclear-derived mRNA species encoding proteins involved in mitochondrial protein translation and OXPHOS are able to successfully predict clinical outcome in gastric cancer. As such, using in silico validation, we have now established the prognostic value of these mitochondrial biomarkers, in a defined population of gastric cancer patients...
September 15, 2017: Oncotarget
https://www.readbyqxmd.com/read/28968749/omics-analysis-system-for-precision-oncology-oasispro-a-web-based-omics-analysis-tool-for-clinical-phenotype-prediction
#19
Kun-Hsing Yu, Michael R Fitzpatrick, Luke Pappas, Warren Chan, Jessica Kung, Michael Snyder
Summary: Precision oncology is an approach that accounts for individual differences to guide cancer management. Omics signatures have been shown to predict clinical traits for cancer patients. However, the vast amount of omics information poses an informatics challenge in systematically identifying patterns associated with health outcomes, and no general-purpose data-mining tool exists for physicians, medical researchers, and citizen scientists without significant training in programming and bioinformatics...
September 12, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28930581/biophysical-mechanisms-complementing-classical-cell-biology
#20
Richard H W Funk
This overview addresses phenomena in cell- and molecular biology which are puzzling by their fast and highly coordinated way of organization. Generally, it appears that informative processes probably involved are more on the biophysical than on the classical biochemical side. The coordination problem is explained within the first part of the review by the topic of endogenous electrical phenomena. These are found e.g. in fast tissue organization and reorganization processes like development, wound healing and regeneration...
January 1, 2018: Frontiers in Bioscience (Landmark Edition)
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