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  • Springer  (112)
  • Oxford University Press  (19)
  • Nature Publishing Group (NPG)  (6)
  • Genetics Society of America (GSA)  (3)
  • 1
    Publication Date: 2015-02-18
    Description: Genomic structural variation (SV), a common hallmark of cancer, has important predictive and therapeutic implications. However, accurately detecting SV using high-throughput sequencing data remains challenging, especially for ‘targeted’ resequencing efforts. This is critically important in the clinical setting where targeted resequencing is frequently being applied to rapidly assess clinically actionable mutations in tumor biopsies in a cost-effective manner. We present BreaKmer, a novel approach that uses a ‘kmer’ strategy to assemble misaligned sequence reads for predicting insertions, deletions, inversions, tandem duplications and translocations at base-pair resolution in targeted resequencing data. Variants are predicted by realigning an assembled consensus sequence created from sequence reads that were abnormally aligned to the reference genome. Using targeted resequencing data from tumor specimens with orthogonally validated SV, non-tumor samples and whole-genome sequencing data, BreaKmer had a 97.4% overall sensitivity for known events and predicted 17 positively validated, novel variants. Relative to four publically available algorithms, BreaKmer detected SV with increased sensitivity and limited calls in non-tumor samples, key features for variant analysis of tumor specimens in both the clinical and research settings.
    Keywords: Genomics
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
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  • 2
    Publication Date: 2009-08-21
    Description: The GTPases Rac1, RhoA and Cdc42 act together to control cytoskeleton dynamics. Recent biosensor studies have shown that all three GTPases are activated at the front of migrating cells, and biochemical evidence suggests that they may regulate one another: Cdc42 can activate Rac1 (ref. 8), and Rac1 and RhoA are mutually inhibitory. However, their spatiotemporal coordination, at the seconds and single-micrometre dimensions typical of individual protrusion events, remains unknown. Here we examine GTPase coordination in mouse embryonic fibroblasts both through simultaneous visualization of two GTPase biosensors and using a 'computational multiplexing' approach capable of defining the relationships between multiple protein activities visualized in separate experiments. We found that RhoA is activated at the cell edge synchronous with edge advancement, whereas Cdc42 and Rac1 are activated 2 micro-m behind the edge with a delay of 40 s. This indicates that Rac1 and RhoA operate antagonistically through spatial separation and precise timing, and that RhoA has a role in the initial events of protrusion, whereas Rac1 and Cdc42 activate pathways implicated in reinforcement and stabilization of newly expanded protrusions.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2885353/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2885353/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Machacek, Matthias -- Hodgson, Louis -- Welch, Christopher -- Elliott, Hunter -- Pertz, Olivier -- Nalbant, Perihan -- Abell, Amy -- Johnson, Gary L -- Hahn, Klaus M -- Danuser, Gaudenz -- F30HL094020/HL/NHLBI NIH HHS/ -- R01 DK037871/DK/NIDDK NIH HHS/ -- R01 GM030324/GM/NIGMS NIH HHS/ -- R01 GM057464/GM/NIGMS NIH HHS/ -- R01 GM057464-09/GM/NIGMS NIH HHS/ -- R01 GM071868/GM/NIGMS NIH HHS/ -- R01 GM071868-04/GM/NIGMS NIH HHS/ -- R01 GM57464/GM/NIGMS NIH HHS/ -- R01 GM71868/GM/NIGMS NIH HHS/ -- T32 GM008719/GM/NIGMS NIH HHS/ -- U54 GM064346/GM/NIGMS NIH HHS/ -- U54 GM064346-099029/GM/NIGMS NIH HHS/ -- England -- Nature. 2009 Sep 3;461(7260):99-103. doi: 10.1038/nature08242. Epub 2009 Aug 19.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Cell Biology, The Scripps Research Institute, 10550 N. Torrey Pines Road, La Jolla, California 92037, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19693013" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Biosensing Techniques ; Cell Movement ; Cell Shape ; Cell Surface Extensions/*metabolism ; Embryo, Mammalian/cytology ; Enzyme Activation ; Fibroblasts/cytology/enzymology ; Mice ; Neuropeptides/metabolism ; Protein Transport ; Time Factors ; cdc42 GTP-Binding Protein/metabolism ; rac GTP-Binding Proteins/metabolism ; rac1 GTP-Binding Protein ; rho GTP-Binding Proteins/*metabolism
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 3
    Publication Date: 2009-08-21
    Description: The precise spatio-temporal dynamics of protein activity are often critical in determining cell behaviour, yet for most proteins they remain poorly understood; it remains difficult to manipulate protein activity at precise times and places within living cells. Protein activity has been controlled by light, through protein derivatization with photocleavable moieties or using photoreactive small-molecule ligands. However, this requires use of toxic ultraviolet wavelengths, activation is irreversible, and/or cell loading is accomplished via disruption of the cell membrane (for example, through microinjection). Here we have developed a new approach to produce genetically encoded photoactivatable derivatives of Rac1, a key GTPase regulating actin cytoskeletal dynamics in metazoan cells. Rac1 mutants were fused to the photoreactive LOV (light oxygen voltage) domain from phototropin, sterically blocking Rac1 interactions until irradiation unwound a helix linking LOV to Rac1. Photoactivatable Rac1 (PA-Rac1) could be reversibly and repeatedly activated using 458- or 473-nm light to generate precisely localized cell protrusions and ruffling. Localized Rac activation or inactivation was sufficient to produce cell motility and control the direction of cell movement. Myosin was involved in Rac control of directionality but not in Rac-induced protrusion, whereas PAK was required for Rac-induced protrusion. PA-Rac1 was used to elucidate Rac regulation of RhoA in cell motility. Rac and Rho coordinate cytoskeletal behaviours with seconds and submicrometre precision. Their mutual regulation remains controversial, with data indicating that Rac inhibits and/or activates Rho. Rac was shown to inhibit RhoA in mouse embryonic fibroblasts, with inhibition modulated at protrusions and ruffles. A PA-Rac crystal structure and modelling revealed LOV-Rac interactions that will facilitate extension of this photoactivation approach to other proteins.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2766670/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2766670/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Wu, Yi I -- Frey, Daniel -- Lungu, Oana I -- Jaehrig, Angelika -- Schlichting, Ilme -- Kuhlman, Brian -- Hahn, Klaus M -- GM057464/GM/NIGMS NIH HHS/ -- GM64346/GM/NIGMS NIH HHS/ -- R01 GM057464/GM/NIGMS NIH HHS/ -- R01 GM057464-09/GM/NIGMS NIH HHS/ -- U54 GM064346/GM/NIGMS NIH HHS/ -- U54 GM064346-089026/GM/NIGMS NIH HHS/ -- England -- Nature. 2009 Sep 3;461(7260):104-8. doi: 10.1038/nature08241. Epub 2009 Aug 19.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Pharmacology, University of North Carolina, Chapel Hill, North Carolina 27599, USA. yiwu@med.unc.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19693014" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Avena/genetics ; Cell Line ; *Cell Movement/radiation effects ; Cell Surface Extensions ; Cell Survival ; Cryptochromes ; Crystallization ; Crystallography, X-Ray ; Embryo, Mammalian/cytology ; Enzyme Activation/radiation effects ; Fibroblasts ; Flavoproteins/chemistry/genetics/metabolism ; Fluorescence Recovery After Photobleaching ; Genetic Engineering/*methods ; HeLa Cells ; Humans ; Mice ; Models, Molecular ; Myosins/metabolism ; Protein Conformation ; rac1 GTP-Binding Protein/chemistry/*genetics/*metabolism/radiation effects ; rho GTP-Binding Proteins/antagonists & inhibitors/metabolism
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 4
    Publication Date: 2015-03-11
    Description: Immune checkpoint inhibitors result in impressive clinical responses, but optimal results will require combination with each other and other therapies. This raises fundamental questions about mechanisms of non-redundancy and resistance. Here we report major tumour regressions in a subset of patients with metastatic melanoma treated with an anti-CTLA4 antibody (anti-CTLA4) and radiation, and reproduced this effect in mouse models. Although combined treatment improved responses in irradiated and unirradiated tumours, resistance was common. Unbiased analyses of mice revealed that resistance was due to upregulation of PD-L1 on melanoma cells and associated with T-cell exhaustion. Accordingly, optimal response in melanoma and other cancer types requires radiation, anti-CTLA4 and anti-PD-L1/PD-1. Anti-CTLA4 predominantly inhibits T-regulatory cells (Treg cells), thereby increasing the CD8 T-cell to Treg (CD8/Treg) ratio. Radiation enhances the diversity of the T-cell receptor (TCR) repertoire of intratumoral T cells. Together, anti-CTLA4 promotes expansion of T cells, while radiation shapes the TCR repertoire of the expanded peripheral clones. Addition of PD-L1 blockade reverses T-cell exhaustion to mitigate depression in the CD8/Treg ratio and further encourages oligoclonal T-cell expansion. Similarly to results from mice, patients on our clinical trial with melanoma showing high PD-L1 did not respond to radiation plus anti-CTLA4, demonstrated persistent T-cell exhaustion, and rapidly progressed. Thus, PD-L1 on melanoma cells allows tumours to escape anti-CTLA4-based therapy, and the combination of radiation, anti-CTLA4 and anti-PD-L1 promotes response and immunity through distinct mechanisms.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4401634/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4401634/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Twyman-Saint Victor, Christina -- Rech, Andrew J -- Maity, Amit -- Rengan, Ramesh -- Pauken, Kristen E -- Stelekati, Erietta -- Benci, Joseph L -- Xu, Bihui -- Dada, Hannah -- Odorizzi, Pamela M -- Herati, Ramin S -- Mansfield, Kathleen D -- Patsch, Dana -- Amaravadi, Ravi K -- Schuchter, Lynn M -- Ishwaran, Hemant -- Mick, Rosemarie -- Pryma, Daniel A -- Xu, Xiaowei -- Feldman, Michael D -- Gangadhar, Tara C -- Hahn, Stephen M -- Wherry, E John -- Vonderheide, Robert H -- Minn, Andy J -- KL2TR000139/TR/NCATS NIH HHS/ -- P01AI112521/AI/NIAID NIH HHS/ -- P30 CA016672/CA/NCI NIH HHS/ -- P30CA016520/CA/NCI NIH HHS/ -- P50 CA174523/CA/NCI NIH HHS/ -- P50CA174523/CA/NCI NIH HHS/ -- R01 AI105343/AI/NIAID NIH HHS/ -- R01 CA158186/CA/NCI NIH HHS/ -- R01 CA163739/CA/NCI NIH HHS/ -- R01AI105343/AI/NIAID NIH HHS/ -- R01CA158186/CA/NCI NIH HHS/ -- R01CA163739/CA/NCI NIH HHS/ -- R01CA172651/CA/NCI NIH HHS/ -- T32DK007066/DK/NIDDK NIH HHS/ -- U01AI095608/AI/NIAID NIH HHS/ -- U19 AI082630/AI/NIAID NIH HHS/ -- U19AI082630/AI/NIAID NIH HHS/ -- UL1RR024134/RR/NCRR NIH HHS/ -- England -- Nature. 2015 Apr 16;520(7547):373-7. doi: 10.1038/nature14292. Epub 2015 Mar 9.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA [2] Abramson Family Cancer Research Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA. ; Abramson Family Cancer Research Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA. ; 1] Department of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA [2] Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA. ; 1] Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA [2] Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA. ; 1] Abramson Family Cancer Research Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA [2] Department of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA. ; 1] Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA [2] Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA. ; Department of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA. ; 1] Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA [2] Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA. ; Division of Biostatistics, Department of Public Health Sciences, University of Miami, Miami, Florida 33136, USA. ; 1] Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA [2] Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA. ; 1] Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA [2] Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA. ; 1] Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA [2] Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA. ; 1] Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA [2] Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA [3] Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA. ; 1] Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA [2] Abramson Family Cancer Research Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA [3] Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA [4] Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA. ; 1] Abramson Family Cancer Research Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA [2] Department of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA [3] Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA [4] Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25754329" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Antigens, CD274/*antagonists & inhibitors/metabolism ; CTLA-4 Antigen/*antagonists & inhibitors ; Cell Cycle Checkpoints/*drug effects ; Female ; Humans ; Melanoma/*drug therapy/*immunology/pathology/*radiotherapy ; Mice ; Mice, Inbred BALB C ; Mice, Inbred C57BL ; Receptors, Antigen, T-Cell/drug effects/immunology/metabolism ; T-Lymphocytes/cytology/*drug effects/immunology/*radiation effects ; T-Lymphocytes, Regulatory/drug effects/immunology/radiation effects
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
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  • 5
    Publication Date: 2013-02-05
    Description: Cancer control by adaptive immunity involves a number of defined death and clearance mechanisms. However, efficient inhibition of exponential cancer growth by T cells and interferon-gamma (IFN-gamma) requires additional undefined mechanisms that arrest cancer cell proliferation. Here we show that the combined action of the T-helper-1-cell cytokines IFN-gamma and tumour necrosis factor (TNF) directly induces permanent growth arrest in cancers. To safely separate senescence induced by tumour immunity from oncogene-induced senescence, we used a mouse model in which the Simian virus 40 large T antigen (Tag) expressed under the control of the rat insulin promoter creates tumours by attenuating p53- and Rb-mediated cell cycle control. When combined, IFN-gamma and TNF drive Tag-expressing cancers into senescence by inducing permanent growth arrest in G1/G0, activation of p16INK4a (also known as CDKN2A), and downstream Rb hypophosphorylation at serine 795. This cytokine-induced senescence strictly requires STAT1 and TNFR1 (also known as TNFRSF1A) signalling in addition to p16INK4a. In vivo, Tag-specific T-helper 1 cells permanently arrest Tag-expressing cancers by inducing IFN-gamma- and TNFR1-dependent senescence. Conversely, Tnfr1(-/-)Tag-expressing cancers resist cytokine-induced senescence and grow aggressively, even in TNFR1-expressing hosts. Finally, as IFN-gamma and TNF induce senescence in numerous murine and human cancers, this may be a general mechanism for arresting cancer progression.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Braumuller, Heidi -- Wieder, Thomas -- Brenner, Ellen -- Assmann, Sonja -- Hahn, Matthias -- Alkhaled, Mohammed -- Schilbach, Karin -- Essmann, Frank -- Kneilling, Manfred -- Griessinger, Christoph -- Ranta, Felicia -- Ullrich, Susanne -- Mocikat, Ralph -- Braungart, Kilian -- Mehra, Tarun -- Fehrenbacher, Birgit -- Berdel, Julia -- Niessner, Heike -- Meier, Friedegund -- van den Broek, Maries -- Haring, Hans-Ulrich -- Handgretinger, Rupert -- Quintanilla-Martinez, Leticia -- Fend, Falko -- Pesic, Marina -- Bauer, Jurgen -- Zender, Lars -- Schaller, Martin -- Schulze-Osthoff, Klaus -- Rocken, Martin -- England -- Nature. 2013 Feb 21;494(7437):361-5. doi: 10.1038/nature11824. Epub 2013 Feb 3.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Dermatology, Eberhard Karls University, Liebermeister Strasse 25, 72076 Tubingen, Germany.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23376950" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Antigens, Polyomavirus Transforming/genetics/metabolism ; Cell Aging/*immunology ; Cell Cycle ; Cell Proliferation ; Cyclin-Dependent Kinase Inhibitor p16/deficiency/genetics/metabolism ; Cytokines/*immunology ; Disease Models, Animal ; Disease Progression ; Female ; Humans ; Interferon-gamma/immunology ; Male ; Mice ; Mice, Inbred NOD ; Mice, SCID ; Mice, Transgenic ; Neoplasms/*immunology/*pathology ; Oncogenes/genetics ; Phosphoserine/metabolism ; Receptors, Tumor Necrosis Factor, Type I/metabolism ; Retinoblastoma Protein/chemistry/metabolism ; STAT1 Transcription Factor/metabolism ; Th1 Cells/*immunology ; Time Factors ; Tumor Cells, Cultured ; Tumor Necrosis Factor-alpha/immunology ; Tumor Suppressor Protein p53/metabolism
    Print ISSN: 0028-0836
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  • 6
    Publication Date: 2013-11-27
    Description: Recent studies on microRNA (miRNA) evolution focused mainly on the comparison of miRNA complements between animal clades. However, evolution of miRNAs within such groups is poorly explored despite the availability of comparable data that in some cases lack only a few key taxa. For flatworms (Platyhelminthes), miRNA complements are available for some free-living flatworms and all major parasitic lineages, except for the Monogenea. We present the miRNA complement of the monogenean flatworm Gyrodactylus salaris that facilitates a comprehensive analysis of miRNA evolution in Platyhelminthes. Using the newly designed bioinformatics pipeline miRCandRef, the miRNA complement was disentangled from next-generation sequencing of small RNAs and genomic DNA without a priori genome assembly. It consists of 39 miRNA hairpin loci of conserved miRNA families, and 22 novel miRNAs. A comparison with the miRNA complements of Schmidtea mediterranea (Turbellaria), Schistosoma japonicum (Trematoda), and Echinococcus granulosus (Cestoda) reveals a substantial loss of conserved bilaterian, protostomian, and lophotrochozoan miRNAs. Eight of the 46 expected conserved miRNAs were lost in all flatworms, 16 in Neodermata and 24 conserved miRNAs could not be detected in the cestode and the trematode. Such a gradual loss of miRNAs has not been reported before for other animal phyla. Currently, little is known about miRNAs in Platyhelminthes, and for the majority of the lost miRNAs there is no prediction of function. As suggested earlier they might be related to morphological simplifications. The presence and absence of 153 conserved miRNAs was compared for platyhelminths and 32 other metazoan taxa. Phylogenetic analyses support the monophyly of Platyhelminthes (Turbellaria + Neodermata [Monogenea {Trematoda + Cestoda}]).
    Print ISSN: 0737-4038
    Electronic ISSN: 1537-1719
    Topics: Biology
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  • 7
    Publication Date: 2015-09-10
    Description: Dendritic spines are the major loci of synaptic plasticity and are considered as possible structural correlates of memory. Nonetheless, systematic manipulation of specific subsets of spines in the cortex has been unattainable, and thus, the link between spines and memory has been correlational. We developed a novel synaptic optoprobe, AS-PaRac1 (activated synapse targeting photoactivatable Rac1), that can label recently potentiated spines specifically, and induce the selective shrinkage of AS-PaRac1-containing spines. In vivo imaging of AS-PaRac1 revealed that a motor learning task induced substantial synaptic remodelling in a small subset of neurons. The acquired motor learning was disrupted by the optical shrinkage of the potentiated spines, whereas it was not affected by the identical manipulation of spines evoked by a distinct motor task in the same cortical region. Taken together, our results demonstrate that a newly acquired motor skill depends on the formation of a task-specific dense synaptic ensemble.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4634641/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4634641/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Hayashi-Takagi, Akiko -- Yagishita, Sho -- Nakamura, Mayumi -- Shirai, Fukutoshi -- Wu, Yi I -- Loshbaugh, Amanda L -- Kuhlman, Brian -- Hahn, Klaus M -- Kasai, Haruo -- GM102924/GM/NIGMS NIH HHS/ -- NS071216/NS/NINDS NIH HHS/ -- R01 GM102924/GM/NIGMS NIH HHS/ -- R21 NS071216/NS/NINDS NIH HHS/ -- England -- Nature. 2015 Sep 17;525(7569):333-8. doi: 10.1038/nature15257. Epub 2015 Sep 9.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Laboratory of Structural Physiology, Center for Disease Biology and Integrative Medicine, Faculty of Medicine, University of Tokyo, Bunkyo-ku, Tokyo 113-0033. ; PRESTO, Japan Science and Technology Agency, 4-1-8 Honcho, Kawaguchi, Saitama 332-0012, Japan. ; CREST, Japan Science and Technology Agency, 4-1-8 Honcho, Kawaguchi, Saitama 332-0012, Japan. ; Center for Cell Analysis and Modeling, University of Connecticut Health Center, Farmington, Connecticut 06032, USA. ; Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina 27599, USA. ; Department of Biochemistry and Biophysics, University of North Carolina, Chapel Hill, North Carolina 27599, USA. ; Department of Pharmacology, University of North Carolina, Chapel Hill, North Carolina 27599, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26352471" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Dendritic Spines/physiology/radiation effects ; Hippocampus/cytology/physiology/radiation effects ; In Vitro Techniques ; Light ; Long-Term Potentiation/physiology/radiation effects ; Male ; Memory/*physiology/*radiation effects ; Mice ; Molecular Probes ; Motor Cortex/cytology/*physiology/*radiation effects ; Motor Skills/physiology/radiation effects ; Neuronal Plasticity/*physiology/*radiation effects ; Rotarod Performance Test ; Spatio-Temporal Analysis ; Synapses/*physiology/*radiation effects
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  • 8
    Publication Date: 2016-02-06
    Description: Cometary nuclei consist mostly of dust and water ice. Previous observations have found nuclei to be low-density and highly porous bodies, but have only moderately constrained the range of allowed densities because of the measurement uncertainties. Here we report the precise mass, bulk density, porosity and internal structure of the nucleus of comet 67P/Churyumov-Gerasimenko on the basis of its gravity field. The mass and gravity field are derived from measured spacecraft velocity perturbations at fly-by distances between 10 and 100 kilometres. The gravitational point mass is GM = 666.2 +/- 0.2 cubic metres per second squared, giving a mass M = (9,982 +/- 3) x 10(9) kilograms. Together with the current estimate of the volume of the nucleus, the average bulk density of the nucleus is 533 +/- 6 kilograms per cubic metre. The nucleus appears to be a low-density, highly porous (72-74 per cent) dusty body, similar to that of comet 9P/Tempel 1. The most likely composition mix has approximately four times more dust than ice by mass and two times more dust than ice by volume. We conclude that the interior of the nucleus is homogeneous and constant in density on a global scale without large voids. The high porosity seems to be an inherent property of the nucleus material.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Patzold, M -- Andert, T -- Hahn, M -- Asmar, S W -- Barriot, J-P -- Bird, M K -- Hausler, B -- Peter, K -- Tellmann, S -- Grun, E -- Weissman, P R -- Sierks, H -- Jorda, L -- Gaskell, R -- Preusker, F -- Scholten, F -- England -- Nature. 2016 Feb 4;530(7588):63-5. doi: 10.1038/nature16535.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Rheinisches Institut fur Umweltforschung an der Universitat zu Koln, Abteilung Planetenforschung, 50931 Koln, Germany. ; Institut fur Raumfahrttechnik und Weltraumnutzung, Universitat der Bundeswehr Munchen, 85577 Neubiberg, Germany. ; Jet Propulsion Laboratory, Caltech, Pasadena, California 91109, USA. ; Universite de la Polynesie Francaise, Faaa, Tahiti. ; Max-Planck-Institut fur Kernphysik, 69117 Heidelberg, Germany. ; Planetary Science Institute, 1700 East Fort Lowell Suite 106, Tucson, Arizona 85719, USA. ; Max-Planck-Institut fur Sonnensystemforschung, 37077 Gottingen, Germany. ; Laboratoire d'Astrophysique de Marseille, 13388 Marseille, France. ; Institut fur Planetenforschung, Deutsches Zentrum fur Luft- und Raumfahrt (DLR) Berlin-Adlershof, 12489 Berlin, Germany.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26842054" target="_blank"〉PubMed〈/a〉
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  • 9
    Publication Date: 2013-12-18
    Description: We perform a suite of multimass cosmological zoom simulations of individual dark matter haloes and explore how to best select Lagrangian regions for resimulation without contaminating the halo of interest with low-resolution particles. Such contamination can lead to significant errors in the gas distribution of hydrodynamical simulations, as we show. For a fixed Lagrange volume, we find that the chance of contamination increases systematically with the level of zoom. In order to avoid contamination, the Lagrangian volume selected for resimulation must increase monotonically with the resolution difference between parent box and the zoom region. We provide a simple formula for selecting Lagrangian regions (in units of the halo virial volume) as a function of the level of zoom required. We also explore the degree to which a halo's Lagrangian volume correlates with other halo properties (concentration, spin, formation time, shape, etc.) and find no significant correlation. There is a mild correlation between Lagrange volume and environment, such that haloes living in the most clustered regions have larger Lagrangian volumes. Nevertheless, selecting haloes to be isolated is not the best way to ensure inexpensive zoom simulations. We explain how one can safely choose haloes with the smallest Lagrangian volumes, which are the least expensive to resimulate, without biasing one's sample.
    Print ISSN: 0035-8711
    Electronic ISSN: 1365-2966
    Topics: Physics
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  • 10
    Electronic Resource
    Electronic Resource
    Springer
    Catalysis letters 4 (1990), S. 271-278 
    ISSN: 1572-879X
    Keywords: Transition metal clusters ; hydrogen chemisorption ; deuterium chemisorption ; platinum ; rhodium ; nickel ; palladium ; catalysts ; hydrogen(deuterium) saturation
    Source: Springer Online Journal Archives 1860-2000
    Topics: Chemistry and Pharmacology
    Notes: Abstract Deuterium uptake experiments on gas phase transition metal cluster cations of Ni, Pt and Rh show that the small (〈 10 Å dia.) clusters can bind many (up to 8) deuterium atoms per metal atom in the cluster, in contast to (H(D)/M)max ratios near unity typically reported for single crystal metal surfaces and in previous uptake experiments on nickel and iron clusters [11]. Abnormally large (H(D)/M)max ratios appear to be the rule rather than the exception for small transition metal clusters, an effect which has strong implications in chemical and catalytic processes involving hydrogen chemisorption.
    Type of Medium: Electronic Resource
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