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https://www.readbyqxmd.com/read/28100686/noncanonical-function-of-dgcr8-controls-mesc-exit-from-pluripotency
#1
Daniel Cirera-Salinas, Jian Yu, Maxime Bodak, Richard P Ngondo, Kristina M Herbert, Constance Ciaudo
Mouse embryonic stem cells (mESCs) deficient for DGCR8, a key component of the microprocessor complex, present strong differentiation defects. However, the exact reasons impairing their commitment remain elusive. The analysis of newly generated mutant mESCs revealed that DGCR8 is essential for the exit from the pluripotency state. To dissociate canonical versus noncanonical functions of DGCR8, we complemented the mutant mESCs with a phosphomutant DGCR8, which restored microRNA levels but did not rescue the exit from pluripotency defect...
January 18, 2017: Journal of Cell Biology
https://www.readbyqxmd.com/read/28097879/metabolomics-biomarkers-for-tuberculosis-diagnostics-current-status-and-future-objectives
#2
Ilse du Preez, Laneke Luies, Du Toit Loots
Numerous studies have contributed to our current understanding of the complex biology of pulmonary tuberculosis and subsequently provided solutions to its control or eradication. Metabolomics, a newcomer to the Omics research domain, has significantly contributed to this understanding by identifying biomarkers originating from the disease-associated metabolome adaptations of both the microbe and host. These biomarkers have shed light on previously unknown disease mechanisms, many of which have been implemented toward the development of improved diagnostic strategies...
January 18, 2017: Biomarkers in Medicine
https://www.readbyqxmd.com/read/28095799/multidataset-an-r-package-for-encapsulating-multiple-data-sets-with-application-to-omic-data-integration
#3
Carles Hernandez-Ferrer, Carlos Ruiz-Arenas, Alba Beltran-Gomila, Juan R González
BACKGROUND: Reduction in the cost of genomic assays has generated large amounts of biomedical-related data. As a result, current studies perform multiple experiments in the same subjects. While Bioconductor's methods and classes implemented in different packages manage individual experiments, there is not a standard class to properly manage different omic datasets from the same subjects. In addition, most R/Bioconductor packages that have been designed to integrate and visualize biological data often use basic data structures with no clear general methods, such as subsetting or selecting samples...
January 17, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/28095733/decoding-crucial-lncrnas-implicated-in-neurogenesis-and-neurological-disorders
#4
R Ayana, Shailja Singh, Soumya Pati
Unraveling transcriptional heterogeneity and the labyrinthine nature of neurodevelopment can probe insights into neuropsychiatric disorders. It is noteworthy that adult neurogenesis is restricted to the Sub Ventricular and Sub Granular zones (SVZ/SGZ) of the brain. Recent studies suggest long non-coding RNAs (lncRNAs) as an avant-garde class of regulators implicated in neurodevelopment. But, paucity exists in the knowledge regarding lncRNAs in neurogenesis and their associations with neurodevelopmental defects...
January 17, 2017: Stem Cells and Development
https://www.readbyqxmd.com/read/28093659/clinical-and-molecular-relevance-of-mutant-allele-tumor-heterogeneity-in-breast-cancer
#5
Ding Ma, Yi-Zhou Jiang, Xi-Yu Liu, Yi-Rong Liu, Zhi-Ming Shao
PURPOSE: Intra-tumor heterogeneity (ITH) plays a pivotal role in driving breast cancer progression and therapeutic resistance. We used a mutant-allele tumor heterogeneity (MATH) algorithm to measure ITH and explored its correlation with clinical parameters and multi-omics data. METHODS: We assessed 916 female breast cancer patients from The Cancer Genome Atlas. We calculated the MATH values from whole-exome sequencing data and further investigated their correlation with clinical characteristics, somatic mutations, somatic copy number alterations (SCNAs), and gene enrichment...
January 16, 2017: Breast Cancer Research and Treatment
https://www.readbyqxmd.com/read/28093073/application-of-meta-omics-techniques-to-understand-greenhouse-gas-emissions-originating-from-ruminal-metabolism
#6
REVIEW
Robert J Wallace, Timothy J Snelling, Christine A McCartney, Ilma Tapio, Francesco Strozzi
Methane emissions from ruminal fermentation contribute significantly to total anthropological greenhouse gas (GHG) emissions. New meta-omics technologies are beginning to revolutionise our understanding of the rumen microbial community structure, metabolic potential and metabolic activity. Here we explore these developments in relation to GHG emissions. Microbial rumen community analyses based on small subunit ribosomal RNA sequence analysis are not yet predictive of methane emissions from individual animals or treatments...
January 16, 2017: Genetics, Selection, Evolution: GSE
https://www.readbyqxmd.com/read/28093064/erratum-to-integrative-analysis-of-multi-omics-data-for-identifying-multi-markers-for-diagnosing-pancreatic-cancer
#7
Min-Seok Kwon, Yongkang Kim, Seungyeoun Lee, Junghyun Namkung, Taegyun Yun, Sung Gon Yi, Sangjo Han, Meejoo Kang, Sun Whe Kim, Jin-Young Jang, Taesung Park
No abstract text is available yet for this article.
January 16, 2017: BMC Genomics
https://www.readbyqxmd.com/read/28092796/global-open-data-management-in-metabolomics
#8
REVIEW
Kenneth Haug, Reza M Salek, Christoph Steinbeck
Chemical Biology employs chemical synthesis, analytical chemistry and other tools to study biological systems. Recent advances in both molecular biology such as next generation sequencing (NGS) have led to unprecedented insights towards the evolution of organisms' biochemical repertoires. Because of the specific data sharing culture in Genomics, genomes from all kingdoms of life become readily available for further analysis by other researchers. While the genome expresses the potential of an organism to adapt to external influences, the Metabolome presents a molecular phenotype that allows us to asses the external influences under which an organism exists and develops in a dynamic way...
January 13, 2017: Current Opinion in Chemical Biology
https://www.readbyqxmd.com/read/28092570/identifying-epigenetic-biomarkers-using-maximal-relevance-and-minimal-redundancy-based-feature-selection-for-multi-omics-data
#9
Saurav Mallik, Tapas Bhadra, Ujjwal Maulik
Epigenetic Biomarker discovery is an important task in bioinformatics. In this article, we develop a new framework of identifying statistically significant epigenetic biomarkers using maximal-relevance and minimal-redundancy criterion based feature (gene) selection for multi-omics dataset. Firstly, we determine the genes that have both expression as well as methylation values, and follow normal distribution. Similarly, we identify the genes which consist of both expression and methylation values, but do not follow normal distribution...
January 9, 2017: IEEE Transactions on Nanobioscience
https://www.readbyqxmd.com/read/28092275/mechanistic-insights-from-combining-genomics-with-metabolomics
#10
Fotios Drenos
PURPOSE OF REVIEW: Metabolomics directly measure substrates and products of biological processes and pathways. Based on instrumentation and throughput advances, the use of metabolomics has only recently become feasible at the population level. This has led to an intense interest in using the new information in combination with genomics, and other omics technologies, to give biological context to the rapidly accumulating associations between genes and diseases or their risk factors. RECENT FINDINGS: The use of metabolomics-genomic associations for the metabolic characterization of genes of interest has confirmed known pathways and permitted the identification of new ones...
January 13, 2017: Current Opinion in Lipidology
https://www.readbyqxmd.com/read/28091625/mplex-a-method-for-simultaneous-pathogen-inactivation-and-extraction-of-samples-for-multi-omics-profiling
#11
Kristin E Burnum-Johnson, Jennifer E Kyle, Amie J Eisfeld, Cameron P Casey, Kelly G Stratton, Juan F Gonzalez, Fabien Habyarimana, Nicholas M Negretti, Amy C Sims, Sadhana Chauhan, Larissa B Thackray, Peter J Halfmann, Kevin B Walters, Young-Mo Kim, Erika M Zink, Carrie D Nicora, Karl K Weitz, Bobbie-Jo M Webb-Robertson, Ernesto S Nakayasu, Brian Ahmer, Michael E Konkel, Vladimir Motin, Ralph S Baric, Michael S Diamond, Yoshihiro Kawaoka, Katrina M Waters, Richard D Smith, Thomas O Metz
The continued emergence and spread of infectious agents is of great concern, and systems biology approaches to infectious disease research can advance our understanding of host-pathogen relationships and facilitate the development of new therapies and vaccines. Molecular characterization of infectious samples outside of appropriate biosafety containment can take place only subsequent to pathogen inactivation. Herein, we describe a modified Folch extraction using chloroform/methanol that facilitates the molecular characterization of infectious samples by enabling simultaneous pathogen inactivation and extraction of proteins, metabolites, and lipids for subsequent mass spectrometry-based multi-omics measurements...
January 16, 2017: Analyst
https://www.readbyqxmd.com/read/28088864/an-integrated-high-throughput-multi-omics-platform-enables-data-driven-construction-of-cellular-responses-and-reveals-global-drug-mechanisms-of-action
#12
Jeremy L Norris, Melissa A Farrow, Danielle B Gutierrez, Lauren D Palmer, Nicole Muszynski, Stacy D Sherrod, James C Pino, Jamie L Allen, Jeffrey M Spraggins, Alex L R Lubbock, Ashley T Jordan, William Burns, James C Poland, Carrie E Romer, M Lisa Manier, Yuan-Wei Nei, Boone M Prentice, Kristie L Rose, Salisha Hill, Raf Van de Plas, Tina Tsui, Nathaniel M Braman, M Ray Keller, Stacey A Rutherford, Nichole A Lobdell, Carlos F Lopez, D Borden Lacy, John A McLean, John Peter Wikswo, Eric P Skaar, Richard M Caprioli
An understanding of how cells respond to perturbation is essential for biological applications; however, most approaches for profiling cellular response are limited in scope to pre-established targets. Global analysis of molecular mechanism will advance our understanding of the complex networks constituting cellular perturbation and lead to advancements in areas, such as infectious disease pathogenesis, developmental biology, pathophysiology, pharmacology, and toxicology. We have developed a high-throughput multi-omics platform for comprehensive, de novo characterization of cellular mechanisms of action...
January 14, 2017: Journal of Proteome Research
https://www.readbyqxmd.com/read/28087984/challenges-in-detecting-substances-for-equine-anti-doping
#13
REVIEW
A G Fragkaki, N Kioukia-Fougia, P Kiousi, M Kioussi, M Tsivou
The artificial increase of the physical capability of horses using drugs is well-known in racing and in other equine sports. Both illicit and therapeutic substances are regarded as prohibited substances in competition in most countries. Some countries do make distinctions for a few, specific drugs which are, however, allowed for use in other countries. The primary objective in the case of doping control is the detection of any trace of drug exposure, either parent drug or any of its metabolites, using the most powerful analytical methods which generally are based on chromatographic/mass spectrometric techniques...
January 14, 2017: Drug Testing and Analysis
https://www.readbyqxmd.com/read/28087947/lichenized-fungi-and-the-evolution-of-symbiotic-organization
#14
Martin Grube, Mats Wedin
Lichen symbioses comprise a fascinating relationship between algae and fungi. The lichen symbiotic lifestyle evolved early in the evolution of ascomycetes and is also known from a few basidiomycetes. The ascomycete lineages have diversified in the lichenized stage to give rise to a tremendous variety of morphologies. Their thalli are often internally complex and stratified for optimized integration of algal and fungal metabolisms. Thalli are frequently colonized by specific nonlichenized fungi and occasionally also by other lichens...
December 2016: Microbiology Spectrum
https://www.readbyqxmd.com/read/28087942/the-mutualistic-interaction-between-plants-and-arbuscular-mycorrhizal-fungi
#15
Luisa Lanfranco, Paola Bonfante, Andrea Genre
Mycorrhizal fungi belong to several taxa and develop mutualistic symbiotic associations with over 90% of all plant species, from liverworts to angiosperms. While descriptive approaches have dominated the initial studies of these fascinating symbioses, the advent of molecular biology, live cell imaging, and "omics" techniques have provided new and powerful tools to decipher the cellular and molecular mechanisms that rule mutualistic plant-fungus interactions. In this article we focus on the most common mycorrhizal association, arbuscular mycorrhiza (AM), which is formed by a group of soil fungi belonging to Glomeromycota...
December 2016: Microbiology Spectrum
https://www.readbyqxmd.com/read/28087761/proteomics-technologies-and-their-applications
#16
REVIEW
Bilal Aslam, Madiha Basit, Muhammad Atif Nisar, Mohsin Khurshid, Muhammad Hidayat Rasool
Proteomics involves the applications of technologies for the identification and quantification of overall proteins present content of a cell, tissue or an organism. It supplements the other "omics" technologies such as genomic and transcriptomics to expound the identity of proteins of an organism, and to cognize the structure and functions of a particular protein. Proteomics-based technologies are utilized in various capacities for different research settings such as detection of various diagnostic markers, candidates for vaccine production, understanding pathogenicity mechanisms, alteration of expression patterns in response to different signals and interpretation of functional protein pathways in different diseases...
February 2017: Journal of Chromatographic Science
https://www.readbyqxmd.com/read/28086860/nicotiana-attenuata-data-hub-nadh-an-integrative-platform-for-exploring-genomic-transcriptomic-and-metabolomic-data-in-wild-tobacco
#17
Thomas Brockmöller, Zhihao Ling, Dapeng Li, Emmanuel Gaquerel, Ian T Baldwin, Shuqing Xu
BACKGROUND: Nicotiana attenuata (coyote tobacco) is an ecological model for studying plant-environment interactions and plant gene function under real-world conditions. During the last decade, large amounts of genomic, transcriptomic and metabolomic data have been generated with this plant which has provided new insights into how native plants interact with herbivores, pollinators and microbes. However, an integrative and open access platform that allows for the efficient mining of these -omics data remained unavailable until now...
January 13, 2017: BMC Genomics
https://www.readbyqxmd.com/read/28079714/radiomic-phenotyping-in-brain-cancer-to-unravel-hidden-information-in-medical-images
#18
Srishti Abrol, Aikaterini Kotrotsou, Ahmed Salem, Pascal O Zinn, Rivka R Colen
Radiomics is a new area of research in the field of imaging with tremendous potential to unravel the hidden information in digital images. The scope of radiology has grown exponentially over the last two decades; since the advent of radiomics, many quantitative imaging features can now be extracted from medical images through high-throughput computing, and these can be converted into mineable data that can help in linking imaging phenotypes with clinical data, genomics, proteomics, and other "omics" information...
January 11, 2017: Topics in Magnetic Resonance Imaging: TMRI
https://www.readbyqxmd.com/read/28079125/establishment-of-a-integrative-multi-omics-expression-database-ckddb-in-the-context-of-chronic-kidney-disease-ckd
#19
Marco Fernandes, Holger Husi
Complex human traits such as chronic kidney disease (CKD) are a major health and financial burden in modern societies. Currently, the description of the CKD onset and progression at the molecular level is still not fully understood. Meanwhile, the prolific use of high-throughput omic technologies in disease biomarker discovery studies yielded a vast amount of disjointed data that cannot be easily collated. Therefore, we aimed to develop a molecule-centric database featuring CKD-related experiments from available literature publications...
January 12, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28078827/fam83-family-oncogenes-are-broadly-involved-in-human-cancers-an-integrative-multi-omics-approach
#20
Antoine M Snijders, Sun-Young Lee, Bo Hang, Wenshan Hao, Mina J Bissell, Jian-Hua Mao
The development of novel targeted therapies for cancer treatment requires identification of reliable targets. FAM83 ('family with sequence similarity 83') family members A, B, and D were shown recently to have oncogenic potential. However, the overall oncogenic abilities of FAM83 family genes remain largely unknown. Here, we used a systematic and integrative genomics approach to investigate oncogenic properties of the entire FAM83 family members. We assessed transcriptional expression patterns of eight FAM83 family genes (FAM83A-H) across tumor types, the relationship between their expression and changes in DNA copy number, and the association with patient survival...
October 26, 2016: Molecular Oncology
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