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https://www.readbyqxmd.com/read/28334937/dynamically-and-epigenetically-coordinated-gata-ets-sox-transcription-factor-expression-is-indispensable-for-endothelial-cell-differentiation
#1
Yasuharu Kanki, Ryo Nakaki, Teppei Shimamura, Taichi Matsunaga, Kohei Yamamizu, Shiori Katayama, Jun-Ichi Suehiro, Tsuyoshi Osawa, Hiroyuki Aburatani, Tatsuhiko Kodama, Youichiro Wada, Jun K Yamashita, Takashi Minami
Although studies of the differentiation from mouse embryonic stem (ES) cells to vascular endothelial cells (ECs) provide an excellent model for investigating the molecular mechanisms underlying vascular development, temporal dynamics of gene expression and chromatin modifications have not been well studied. Herein, using transcriptomic and epigenomic analyses based on H3K4me3 and H3K27me3 modifications at a genome-wide scale, we analysed the EC differentiation steps from ES cells and crucial epigenetic modifications unique to ECs...
March 17, 2017: Nucleic Acids Research
https://www.readbyqxmd.com/read/28334822/posigene-automated-and-easy-to-use-pipeline-for-genome-wide-detection-of-positively-selected-genes
#2
Arne Sahm, Martin Bens, Matthias Platzer, Karol Szafranski
Many comparative genomics studies aim to find the genetic basis of species-specific phenotypic traits. A prevailing strategy is to search genome-wide for genes that evolved under positive selection based on the non-synonymous to synonymous substitution ratio. However, incongruent results largely due to high false positive rates indicate the need for standardization of quality criteria and software tools. Main challenges are the ortholog and isoform assignment, the high sensitivity of the statistical models to alignment errors and the imperative to parallelize large parts of the software...
March 15, 2017: Nucleic Acids Research
https://www.readbyqxmd.com/read/28334818/chromosomal-dynamics-predicted-by-an-elastic-network-model-explains-genome-wide-accessibility-and-long-range-couplings
#3
Natalie Sauerwald, She Zhang, Carl Kingsford, Ivet Bahar
Understanding the three-dimensional (3D) architecture of chromatin and its relation to gene expression and regulation is fundamental to understanding how the genome functions. Advances in Hi-C technology now permit us to study 3D genome organization, but we still lack an understanding of the structural dynamics of chromosomes. The dynamic couplings between regions separated by large genomic distances (>50 Mb) have yet to be characterized. We adapted a well-established protein-modeling framework, the Gaussian Network Model (GNM), to model chromatin dynamics using Hi-C data...
March 16, 2017: Nucleic Acids Research
https://www.readbyqxmd.com/read/28334407/organismal-and-spatial-partitioning-of-energy-and-macronutrient-transformations-within-a-hypersaline-mat
#4
Jennifer M Mobberley, Stephen R Lindemann, Hans C Bernstein, James J Moran, Ryan S Renslow, Jerome Babauta, Dehong Hu, Haluk Beyenal, William C Nelson
Phototrophic mat communities are model ecosystems for studying energy cycling and elemental transformations because complete biogeochemical cycles occur over millimeter-to-centimeter scales. Characterization of energy and nutrient capture within hypersaline phototrophic mats has focused on specific processes and organisms, however little is known about community-wide distribution of and linkages between these processes. To investigate energy and macronutrient capture and flow through a structured community, the spatial and organismal distribution of metabolic functions within a compact hypersaline mat community from Hot Lake have been broadly elucidated through species-resolved metagenomics and geochemical, microbial diversity, and metabolic gradient measurements...
March 15, 2017: FEMS Microbiology Ecology
https://www.readbyqxmd.com/read/28334268/an-algorithmic-perspective-of-de-novo-cis-regulatory-motif-finding-based-on-chip-seq-data
#5
Bingqiang Liu, Jinyu Yang, Yang Li, Adam McDermaid, Qin Ma
Transcription factors are proteins that bind to specific DNA sequences and play important roles in controlling the expression levels of their target genes. Hence, prediction of transcription factor binding sites (TFBSs) provides a solid foundation for inferring gene regulatory mechanisms and building regulatory networks for a genome. Chromatin immunoprecipitation sequencing (ChIP-seq) technology can generate large-scale experimental data for such protein-DNA interactions, providing an unprecedented opportunity to identify TFBSs (a...
March 8, 2017: Briefings in Bioinformatics
https://www.readbyqxmd.com/read/28334077/a-powerful-and-efficient-two-stage-method-for-detecting-gene-to-gene-interactions-in-gwas
#6
Jakub Pecanka, Marianne A Jonker, Zoltan Bochdanovits, Aad W Van Der Vaart
For over a decade functional gene-to-gene interaction (epistasis) has been suspected to be a determinant in the "missing heritability" of complex traits. However, searching for epistasis on the genome-wide scale has been challenging due to the prohibitively large number of tests which result in a serious loss of statistical power as well as computational challenges. In this article, we propose a two-stage method applicable to existing case-control data sets, which aims to lessen both of these problems by pre-assessing whether a candidate pair of genetic loci is involved in epistasis before it is actually tested for interaction with respect to a complex phenotype...
February 6, 2017: Biostatistics
https://www.readbyqxmd.com/read/28333980/evaluating-alignment-and-variant-calling-software-for-mutation-identification-in-c-elegans-by-whole-genome-sequencing
#7
Harold E Smith, Sijung Yun
Whole-genome sequencing is a powerful tool for analyzing genetic variation on a global scale. One particularly useful application is the identification of mutations obtained by classical phenotypic screens in model species. Sequence data from the mutant strain is aligned to the reference genome, and then variants are called to generate a list of candidate alleles. A number of software pipelines for mutation identification have been targeted to C. elegans, with particular emphasis on ease of use, incorporation of mapping strain data, subtraction of background variants, and similar criteria...
2017: PloS One
https://www.readbyqxmd.com/read/28333921/bioenergetics-based-modeling-of-plasmodium-falciparum-metabolism-reveals-its-essential-genes-nutritional-requirements-and-thermodynamic-bottlenecks
#8
Anush Chiappino-Pepe, Stepan Tymoshenko, Meriç Ataman, Dominique Soldati-Favre, Vassily Hatzimanikatis
Novel antimalarial therapies are urgently needed for the fight against drug-resistant parasites. The metabolism of malaria parasites in infected cells is an attractive source of drug targets but is rather complex. Computational methods can handle this complexity and allow integrative analyses of cell metabolism. In this study, we present a genome-scale metabolic model (iPfa) of the deadliest malaria parasite, Plasmodium falciparum, and its thermodynamics-based flux analysis (TFA). Using previous absolute concentration data of the intraerythrocytic parasite, we applied TFA to iPfa and predicted up to 63 essential genes and 26 essential pairs of genes...
March 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28333201/new-statistical-criteria-detect-phylogenetic-bias-caused-by-compositional-heterogeneity
#9
David A Duchêne, Sebastian Duchêne, Simon Y W Ho
In statistical phylogenetic analyses of DNA sequences, models of evolutionary change commonly assume that base composition is stationary through time and across lineages. This assumption is violated by many data sets, but it is unclear whether the magnitude of these violations is sufficient to mislead phylogenetic inference. We investigated the impacts of compositional heterogeneity on phylogenetic estimates using a method for assessing model adequacy. Based on a detailed simulation study, we found that common frequentist criteria are highly conservative, such that the model is often rejected when the phylogenetic estimates do not show clear signs of bias...
February 21, 2017: Molecular Biology and Evolution
https://www.readbyqxmd.com/read/28330821/beyond-precision-surgery-molecularly-motivated-precision-care-for-gastric-cancer
#10
REVIEW
Y Y Choi, J-H Cheong
Gastric cancer is one of the leading causes of cancer-related deaths worldwide. Despite the high disease prevalence, gastric cancer research has not gained much attention. Recently, genome-scale technology has made it possible to explore the characteristics of gastric cancer at the molecular level. Accordingly, gastric cancer can be classified into molecular subtypes that convey more detailed information of tumor than histopathological characteristics, and these subtypes are associated with clinical outcomes...
March 1, 2017: European Journal of Surgical Oncology
https://www.readbyqxmd.com/read/28325918/robust-analysis-of-fluxes-in-genome-scale-metabolic-pathways
#11
Michael MacGillivray, Amy Ko, Emily Gruber, Miranda Sawyer, Eivind Almaas, Allen Holder
Constraint-based optimization, such as flux balance analysis (FBA), has become a standard systems-biology computational method to study cellular metabolisms that are assumed to be in a steady state of optimal growth. The methods are based on optimization while assuming (i) equilibrium of a linear system of ordinary differential equations, and (ii) deterministic data. However, the steady-state assumption is biologically imperfect, and several key stoichiometric coefficients are experimentally inferred from situations of inherent variation...
March 21, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28323032/metabolic-re-wiring-of-isogenic-breast-epithelial-cell-lines-following-epithelial-to-mesenchymal-transition
#12
Skarphedinn Halldorsson, Neha Rohatgi, Manuela Magnusdottir, Kumari Sonal Choudhary, Thorarinn Guðjónsson, Erik Knutsen, Anna Barkovskaya, Bylgja Hilmarsdottir, Maria Perander, Gunhild M Mælandsmo, Steinn Gudmundsson, Óttar Rolfsson
Epithelial to mesenchymal transition (EMT) has implications in tumor progression and metastasis. Metabolic alterations have been described in cancer development but studies focused on the metabolic re-wiring that takes place during EMT are still limited. We performed metabolomics profiling of a breast epithelial cell line and its EMT derived mesenchymal phenotype to create genome-scale metabolic models descriptive of both cell lines. Glycolysis and OXPHOS were higher in the epithelial phenotype while amino acid anaplerosis and fatty acid oxidation fueled the mesenchymal phenotype...
March 16, 2017: Cancer Letters
https://www.readbyqxmd.com/read/28319856/systems-biology-solutions-for-biochemical-production-challenges
#13
REVIEW
Anne Sofie Lærke Hansen, Rebecca M Lennen, Nikolaus Sonnenschein, Markus J Herrgård
There is an urgent need to significantly accelerate the development of microbial cell factories to produce fuels and chemicals from renewable feedstocks in order to facilitate the transition to a biobased society. Methods commonly used within the field of systems biology including omics characterization, genome-scale metabolic modeling, and adaptive laboratory evolution can be readily deployed in metabolic engineering projects. However, high performance strains usually carry tens of genetic modifications and need to operate in challenging environmental conditions...
March 16, 2017: Current Opinion in Biotechnology
https://www.readbyqxmd.com/read/28318975/a-large-and-consistent-phylogenomic-dataset-supports-sponges-as-the-sister-group-to-all-other-animals
#14
Paul Simion, Hervé Philippe, Denis Baurain, Muriel Jager, Daniel J Richter, Arnaud Di Franco, Béatrice Roure, Nori Satoh, Éric Quéinnec, Alexander Ereskovsky, Pascal Lapébie, Erwan Corre, Frédéric Delsuc, Nicole King, Gert Wörheide, Michaël Manuel
Resolving the early diversification of animal lineages has proven difficult, even using genome-scale datasets. Several phylogenomic studies have supported the classical scenario in which sponges (Porifera) are the sister group to all other animals ("Porifera-sister" hypothesis), consistent with a single origin of the gut, nerve cells, and muscle cells in the stem lineage of eumetazoans (bilaterians + ctenophores + cnidarians). In contrast, several other studies have recovered an alternative topology in which ctenophores are the sister group to all other animals (including sponges)...
March 8, 2017: Current Biology: CB
https://www.readbyqxmd.com/read/28314956/evolution-of-mhc-based-technologies-used-for-detection-of-antigen-responsive-t-cells
#15
REVIEW
Amalie Kai Bentzen, Sine Reker Hadrup
T cell-mediated recognition of peptide-major histocompatibility complex (pMHC) class I and II molecules is crucial for the control of intracellular pathogens and cancer, as well as for stimulation and maintenance of efficient cytotoxic responses. Such interactions may also play a role in the development of autoimmune diseases. Novel insights into this mechanism are crucial to understanding disease development and establishing new treatment strategies. MHC multimers have been used for detection of antigen-responsive T cells since the first report by Altman et al...
March 17, 2017: Cancer Immunology, Immunotherapy: CII
https://www.readbyqxmd.com/read/28303457/lipid-metabolism-and-potentials-of-biofuel-and-high-added-value-oil-production-in-red-algae
#16
REVIEW
Naoki Sato, Takashi Moriyama, Natsumi Mori, Masakazu Toyoshima
Biomass production is currently explored in microalgae, macroalgae and land plants. Microalgal biofuel development has been performed mostly in green algae. In the Japanese tradition, macrophytic red algae such as Pyropia yezoensis and Gelidium crinale have been utilized as food and industrial materials. Researches on the utilization of unicellular red microalgae such as Cyanidioschyzon merolae and Porphyridium purpureum started only quite recently. Red algae have relatively large plastid genomes harboring more than 200 protein-coding genes that support the biosynthetic capacity of the plastid...
April 2017: World Journal of Microbiology & Biotechnology
https://www.readbyqxmd.com/read/28302587/transcriptomic-changes-in-cho-cells-after-adaptation-to-suspension-growth-in-protein-free-medium-analysed-by-a-species-specific-microarray
#17
Smriti Shridhar, Gerald Klanert, Norbert Auer, Inmaculada Hernandez-Lopez, Maciej M Kańduła, Matthias Hackl, Johannes Grillari, Nancy Stralis-Pavese, David P Kreil, Nicole Borth
Chinese Hamster Ovary (CHO) cells are the preferred cell line for production of biopharmaceuticals. These cells are capable to grow without serum supplementation, but drastic changes in their phenotype occur during adaptation to protein-free growth, which typically include the change to a suspension phenotype with reduced growth rate. A possible approach to understand this transformation, with the intention to counteract the reduction in growth by targeted supplementation of protein-free media, is gene expression profiling...
March 13, 2017: Journal of Biotechnology
https://www.readbyqxmd.com/read/28302551/role-of-structural-bioinformatics-in-drug-discovery-by-computational-snp-analysis-a-proposed-protocol-for-analyzing-variation-at-the-protein-level
#18
REVIEW
David K Brown, Özlem Tastan Bishop
With the completion of the human genome project at the beginning of the 21st century, the biological sciences entered an unprecedented age of data generation, and made its first steps toward an era of personalized medicine. This abundance of sequence data has led to the proliferation of numerous sequence-based techniques for associating variation with disease, such as genome-wide association studies and candidate gene association studies. However, these statistical methods do not provide an understanding of the functional effects of variation...
March 13, 2017: Global Heart
https://www.readbyqxmd.com/read/28301739/systems-biology-of-metabolism
#19
Jens Nielsen
Metabolism is highly complex and involves thousands of different connected reactions; it is therefore necessary to use mathematical models for holistic studies. The use of mathematical models in biology is referred to as systems biology. In this review, the principles of systems biology are described, and two different types of mathematical models used for studying metabolism are discussed: kinetic models and genome-scale metabolic models. The use of different omics technologies, including transcriptomics, proteomics, metabolomics, and fluxomics, for studying metabolism is presented...
March 8, 2017: Annual Review of Biochemistry
https://www.readbyqxmd.com/read/28301457/exploring-the-feasibility-of-delivering-standardized-genomic-care-using-ophthalmology-as-an-example
#20
Niall Davison, Katherine Payne, Martin Eden, Marion McAllister, Stephen A Roberts, Stuart Ingram, Graeme C M Black, Georgina Hall
PURPOSE: Broadening access to genomic testing and counseling will be necessary to realize the benefits of personalized health care. This study aimed to assess the feasibility of delivering a standardized genomic care model for inherited retinal dystrophy (IRD) and of using selected measures to quantify its impact on patients. METHODS: A pre-/post- prospective cohort study recruited 98 patients affected by IRD to receive standardized multidisciplinary care. A checklist was used to assess the fidelity of the care process...
March 16, 2017: Genetics in Medicine: Official Journal of the American College of Medical Genetics
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