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  • 1
    Publication Date: 2013-04-02
    Description: MicroRNAs (miRNAs) are small non-coding RNAs that regulate expression by translational repression or messenger RNA (mRNA) degradation. Although numerous bioinformatic prediction models exist to identify miRNA–mRNA interactions, experimental validation of bona fide interactions can be difficult and laborious. Few methods can comprehensively identify miRNAs that target a single mRNA. We have developed an experimental approach to search for miRNAs targeting any mRNA using a capture affinity assay involving a biotinylated DNA anti-sense oligonucleotide. This method identifies miRNAs targeting the full length of the mRNA. The method was tested using three separate mRNA targets: alpha-1 antitrypsin (AAT) mRNA, interleukin-8 mRNA and secretory leucoprotease inhibitor mRNA. AAT mRNA-specific and total miRNAs from three different cell lines (monocytic THP-1, bronchial epithelial 16HBE14o– and liver HepG2 cells) were profiled, and validation studies revealed that AAT mRNA-specific miRNAs functionally target the AAT mRNA in a cell-specific manner, providing the first evidence of innate miRNAs selectively targeting and modulating AAT mRNA expression. Interleukin-8 and secretory leucoprotease inhibitor mRNAs and their cognate miRNAs were also successfully captured using this approach. This is a simple and an efficient method to potentially identify miRNAs targeting sequences within the full length of a given mRNA transcript.
    Keywords: RNA characterisation and manipulation, Targeted inhibition of gene function
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
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  • 2
    Publication Date: 2009-09-11
    Description: Phytophthora infestans is the most destructive pathogen of potato and a model organism for the oomycetes, a distinct lineage of fungus-like eukaryotes that are related to organisms such as brown algae and diatoms. As the agent of the Irish potato famine in the mid-nineteenth century, P. infestans has had a tremendous effect on human history, resulting in famine and population displacement. To this day, it affects world agriculture by causing the most destructive disease of potato, the fourth largest food crop and a critical alternative to the major cereal crops for feeding the world's population. Current annual worldwide potato crop losses due to late blight are conservatively estimated at $6.7 billion. Management of this devastating pathogen is challenged by its remarkable speed of adaptation to control strategies such as genetically resistant cultivars. Here we report the sequence of the P. infestans genome, which at approximately 240 megabases (Mb) is by far the largest and most complex genome sequenced so far in the chromalveolates. Its expansion results from a proliferation of repetitive DNA accounting for approximately 74% of the genome. Comparison with two other Phytophthora genomes showed rapid turnover and extensive expansion of specific families of secreted disease effector proteins, including many genes that are induced during infection or are predicted to have activities that alter host physiology. These fast-evolving effector genes are localized to highly dynamic and expanded regions of the P. infestans genome. This probably plays a crucial part in the rapid adaptability of the pathogen to host plants and underpins its evolutionary potential.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Haas, Brian J -- Kamoun, Sophien -- Zody, Michael C -- Jiang, Rays H Y -- Handsaker, Robert E -- Cano, Liliana M -- Grabherr, Manfred -- Kodira, Chinnappa D -- Raffaele, Sylvain -- Torto-Alalibo, Trudy -- Bozkurt, Tolga O -- Ah-Fong, Audrey M V -- Alvarado, Lucia -- Anderson, Vicky L -- Armstrong, Miles R -- Avrova, Anna -- Baxter, Laura -- Beynon, Jim -- Boevink, Petra C -- Bollmann, Stephanie R -- Bos, Jorunn I B -- Bulone, Vincent -- Cai, Guohong -- Cakir, Cahid -- Carrington, James C -- Chawner, Megan -- Conti, Lucio -- Costanzo, Stefano -- Ewan, Richard -- Fahlgren, Noah -- Fischbach, Michael A -- Fugelstad, Johanna -- Gilroy, Eleanor M -- Gnerre, Sante -- Green, Pamela J -- Grenville-Briggs, Laura J -- Griffith, John -- Grunwald, Niklaus J -- Horn, Karolyn -- Horner, Neil R -- Hu, Chia-Hui -- Huitema, Edgar -- Jeong, Dong-Hoon -- Jones, Alexandra M E -- Jones, Jonathan D G -- Jones, Richard W -- Karlsson, Elinor K -- Kunjeti, Sridhara G -- Lamour, Kurt -- Liu, Zhenyu -- Ma, Lijun -- Maclean, Daniel -- Chibucos, Marcus C -- McDonald, Hayes -- McWalters, Jessica -- Meijer, Harold J G -- Morgan, William -- Morris, Paul F -- Munro, Carol A -- O'Neill, Keith -- Ospina-Giraldo, Manuel -- Pinzon, Andres -- Pritchard, Leighton -- Ramsahoye, Bernard -- Ren, Qinghu -- Restrepo, Silvia -- Roy, Sourav -- Sadanandom, Ari -- Savidor, Alon -- Schornack, Sebastian -- Schwartz, David C -- Schumann, Ulrike D -- Schwessinger, Ben -- Seyer, Lauren -- Sharpe, Ted -- Silvar, Cristina -- Song, Jing -- Studholme, David J -- Sykes, Sean -- Thines, Marco -- van de Vondervoort, Peter J I -- Phuntumart, Vipaporn -- Wawra, Stephan -- Weide, Rob -- Win, Joe -- Young, Carolyn -- Zhou, Shiguo -- Fry, William -- Meyers, Blake C -- van West, Pieter -- Ristaino, Jean -- Govers, Francine -- Birch, Paul R J -- Whisson, Stephen C -- Judelson, Howard S -- Nusbaum, Chad -- BB/E007120/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- BB/G015244/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- G0400284/Medical Research Council/United Kingdom -- England -- Nature. 2009 Sep 17;461(7262):393-8. doi: 10.1038/nature08358. Epub 2009 Sep 9.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02141, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19741609" target="_blank"〉PubMed〈/a〉
    Keywords: Algal Proteins/genetics ; DNA Transposable Elements/genetics ; DNA, Intergenic/genetics ; Evolution, Molecular ; Genome/*genetics ; Host-Pathogen Interactions/genetics ; Humans ; Ireland ; Molecular Sequence Data ; Necrosis ; Phenotype ; Phytophthora infestans/*genetics/pathogenicity ; Plant Diseases/immunology/*microbiology ; Solanum tuberosum/immunology/*microbiology ; Starvation
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 3
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    American Association for the Advancement of Science (AAAS)
    Publication Date: 2015-03-31
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉O'Neill, Ken -- Holgate, Sharon Ann -- New York, N.Y. -- Science. 2015 Mar 27;347(6229):1510. doi: 10.1126/science.347.6229.1510.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Sharon Ann Holgate is a science writer in the United Kingdom. For more on life and careers, visit sciencecareers.org.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25814586" target="_blank"〉PubMed〈/a〉
    Keywords: Career Choice ; Deafness/*psychology ; Dictionaries as Topic ; Education of Hearing Disabled/*methods ; Humans ; Male ; Mathematics/*education ; Persons With Hearing Impairments/*psychology ; Scotland ; *Sign Language ; Students/psychology
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 5
    Publication Date: 2018-06-26
    Description: Changing storminess and global capture fisheries Changing storminess and global capture fisheries, Published online: 25 June 2018; doi:10.1038/s41558-018-0206-x Climate change-driven alterations in storminess pose a significant threat to global capture fisheries. Understanding how storms interact with fishery social-ecological systems can inform adaptive action and help to reduce the vulnerability of those dependent on fisheries for life and livelihood.
    Print ISSN: 1758-678X
    Electronic ISSN: 1758-6798
    Topics: Geosciences
    Published by Springer Nature
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  • 6
    Publication Date: 2013-04-23
    Description: The androgen receptor (AR) is a key molecule involved in prostate cancer (PC) development and progression. Post-translational modification of the AR by co-regulator proteins can modulate its transcriptional activity. To identify which demethylases might be involved in AR regulation, an siRNA screen was performed to reveal that the demethylase, KDM4B, may be an important co-regulator protein. KDM4B enzymatic activity is required to enhance AR transcriptional activity; however, independently of this activity, KDM4B can enhance AR protein stability via inhibition of AR ubiquitination. Importantly, knockdown of KDM4B in multiple cell lines results in almost complete depletion of AR protein levels. For the first time, we have identified KDM4B to be an androgen-regulated demethylase enzyme, which can influence AR transcriptional activity not only via demethylation activity but also via modulation of ubiquitination. Together, these findings demonstrate the close functional relationship between AR and KDM4B, which work together to amplify the androgen response. Furthermore, KDM4B expression in clinical PC specimens positively correlates with increasing cancer grade ( P 〈 0.001). Consequently, KDM4B is a viable therapeutic target in PC.
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
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  • 7
    Publication Date: 2013-08-09
    Description: The importance of the estrogen receptor (ER) in breast cancer (BCa) development makes it a prominent target for therapy. Current treatments, however, have limited effectiveness, and hence the definition of new therapeutic targets is vital. The ER is a member of the nuclear hormone receptor superfamily of transcription factors that requires co-regulator proteins for complete regulation. Emerging evidence has implicated a small number of histone methyltransferase (HMT) and histone demethylase (HDM) enzymes as regulators of ER signalling, including the histone H3 lysine 9 tri-/di-methyl HDM enzyme KDM4B. Two recent independent reports have demonstrated that KDM4B is required for ER-mediated transcription and depletion of the enzyme attenuates BCa growth in vitro and in vivo . Here we show that KDM4B has an overarching regulatory role in the ER signalling cascade by controlling expression of the ER and FOXA1 genes, two critical components for maintenance of the estrogen-dependent phenotype. KDM4B interacts with the transcription factor GATA-3 in BCa cell lines and directly co-activates GATA-3 activity in reporter-based experiments. Moreover, we reveal that KDM4B recruitment and demethylation of repressive H3K9me3 marks within upstream regulatory regions of the ER gene permits binding of GATA-3 to drive receptor expression. Ultimately, our findings confirm the importance of KDM4B within the ER signalling cascade and as a potential therapeutic target for BCa treatment.
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
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  • 8
    Publication Date: 2004-08-06
    Print ISSN: 0031-9007
    Electronic ISSN: 1079-7114
    Topics: Physics
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  • 9
    Publication Date: 2006-03-09
    Print ISSN: 0031-9007
    Electronic ISSN: 1079-7114
    Topics: Physics
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  • 10
    Publication Date: 2015-05-12
    Description: Motivation: Deep profiling the phenotypic landscape of tissues using high-throughput flow cytometry (FCM) can provide important new insights into the interplay of cells in both healthy and diseased tissue. But often, especially in clinical settings, the cytometer cannot measure all the desired markers in a single aliquot. In these cases, tissue is separated into independently analysed samples, leaving a need to electronically recombine these to increase dimensionality. Nearest-neighbour (NN) based imputation fulfils this need but can produce artificial subpopulations. Clustering-based NNs can reduce these, but requires prior domain knowledge to be able to parameterize the clustering, so is unsuited to discovery settings. Results: We present flowBin, a parameterization-free method for combining multitube FCM data into a higher-dimensional form suitable for deep profiling and discovery. FlowBin allocates cells to bins defined by the common markers across tubes in a multitube experiment, then computes aggregate expression for each bin within each tube, to create a matrix of expression of all markers assayed in each tube. We show, using simulated multitube data, that flowType analysis of flowBin output reproduces the results of that same analysis on the original data for cell types of 〉10% abundance. We used flowBin in conjunction with classifiers to distinguish normal from cancerous cells. We used flowBin together with flowType and RchyOptimyx to profile the immunophenotypic landscape of NPM1-mutated acute myeloid leukemia, and present a series of novel cell types associated with that mutation. Availability and implementation: FlowBin is available in Bioconductor under the Artistic 2.0 free open source license. All data used are available in FlowRepository under accessions: FR-FCM-ZZYA, FR-FCM-ZZZK and FR-FCM-ZZES. Contact : rbrinkman@bccrc.ca . Supplementary information: Supplementary data are available at Bioinformatics online.
    Print ISSN: 1367-4803
    Electronic ISSN: 1460-2059
    Topics: Biology , Computer Science , Medicine
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