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  • 1
    ISSN: 1540-8159
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Medicine
    Notes: SPITZER, S.G., et al .: Pacing of the Atria in Sick Sinus Syndrome Trial: Preventive Strategies for Atrial Fibrillation. This study examines the effects of various atrial lead positions in physiological pacing on the incidence of AF in patients with sick sinus syndrome. The lead is implanted in the RA free wall, in the RA appendage, near the coronary sinus ostium (CSO) or, in dual site RA pacing, in the appendage and the CSO. Since CSO and dual site right atrial pacing aim at modifying the pathological substrate, pacing of two-thirds of all cardiac cycles is attempted by adapting the basic rate and the rate response option. The results of this study are expected to assist in the development of guidelines for the placement of atrial pacing leads in sick sinus syndrome. (PACE 2003; 26[Pt. II]:268–271)
    Type of Medium: Electronic Resource
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  • 2
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    American Association for the Advancement of Science (AAAS)
    Publication Date: 2015-10-31
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Spitzer, Nicholas C -- New York, N.Y. -- Science. 2015 Oct 30;350(6260):510-1. doi: 10.1126/science.aad4876.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Neurobiology Section, Division of Biological Sciences and Kavli Institute for Brain and Mind, University of California, San Diego, La Jolla, CA 92093, USA. nspitzer@ucsd.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26516267" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Cerebral Cortex/*embryology ; GABAergic Neurons/*cytology ; Humans ; Zona Incerta/*embryology
    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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  • 3
    Publication Date: 2015-07-15
    Description: Immune cells function in an interacting hierarchy that coordinates the activities of various cell types according to genetic and environmental contexts. We developed graphical approaches to construct an extensible immune reference map from mass cytometry data of cells from different organs, incorporating landmark cell populations as flags on the map to compare cells from distinct samples. The maps recapitulated canonical cellular phenotypes and revealed reproducible, tissue-specific deviations. The approach revealed influences of genetic variation and circadian rhythms on immune system structure, enabled direct comparisons of murine and human blood cell phenotypes, and even enabled archival fluorescence-based flow cytometry data to be mapped onto the reference framework. This foundational reference map provides a working definition of systemic immune organization to which new data can be integrated to reveal deviations driven by genetics, environment, or pathology.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4537647/" 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/PMC4537647/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Spitzer, Matthew H -- Gherardini, Pier Federico -- Fragiadakis, Gabriela K -- Bhattacharya, Nupur -- Yuan, Robert T -- Hotson, Andrew N -- Finck, Rachel -- Carmi, Yaron -- Zunder, Eli R -- Fantl, Wendy J -- Bendall, Sean C -- Engleman, Edgar G -- Nolan, Garry P -- 1R01CA130826/CA/NCI NIH HHS/ -- 1R01GM109836/GM/NIGMS NIH HHS/ -- 1R01NS089533/NS/NINDS NIH HHS/ -- 1U19AI100627/AI/NIAID NIH HHS/ -- 201303028/PHS HHS/ -- 5-24927/PHS HHS/ -- 5R01AI073724/AI/NIAID NIH HHS/ -- 5U54CA143907/CA/NCI NIH HHS/ -- 7500108142/PHS HHS/ -- F31 CA189331/CA/NCI NIH HHS/ -- F31CA189331/CA/NCI NIH HHS/ -- F32 GM093508/GM/NIGMS NIH HHS/ -- F32 GM093508-01/GM/NIGMS NIH HHS/ -- HHSF223201210194C/PHS HHS/ -- HHSN268201000034C/HV/NHLBI NIH HHS/ -- HHSN272200700038C/AI/NIAID NIH HHS/ -- HHSN272200700038C/PHS HHS/ -- HHSN272201200028C/PHS HHS/ -- K99 GM104148/GM/NIGMS NIH HHS/ -- K99GM104148-01/GM/NIGMS NIH HHS/ -- N01-HV-00242/HV/NHLBI NIH HHS/ -- P01 CA034233/CA/NCI NIH HHS/ -- P01 CA034233-22A1/CA/NCI NIH HHS/ -- PN2 EY018228/EY/NEI NIH HHS/ -- PN2EY018228 0158 G KB065/EY/NEI NIH HHS/ -- R01 AI073724/AI/NIAID NIH HHS/ -- R01 CA130826/CA/NCI NIH HHS/ -- R01 CA184968/CA/NCI NIH HHS/ -- R01 GM109836/GM/NIGMS NIH HHS/ -- R01 NS089533/NS/NINDS NIH HHS/ -- R01CA184968/CA/NCI NIH HHS/ -- R33 CA183654/CA/NCI NIH HHS/ -- R33 CA183692/CA/NCI NIH HHS/ -- RFA CA 09-009/CA/NCI NIH HHS/ -- RFA CA 09-011/CA/NCI NIH HHS/ -- T32 GM007276/GM/NIGMS NIH HHS/ -- T32GM007276/GM/NIGMS NIH HHS/ -- U19 AI057229/AI/NIAID NIH HHS/ -- U19 AI100627/AI/NIAID NIH HHS/ -- U54 CA149145/CA/NCI NIH HHS/ -- U54CA149145/CA/NCI NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2015 Jul 10;349(6244):1259425. doi: 10.1126/science.1259425.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Baxter Laboratory in Stem Cell Biology, Department of Microbiology and Immunology, Stanford University, Stanford, CA 94305, USA. Department of Pathology, Stanford University, Stanford, CA 94305, USA. Program in Immunology, Stanford University, Stanford, CA 94305, USA. gnolan@stanford.edu matthew.spitzer@stanford.edu. ; Baxter Laboratory in Stem Cell Biology, Department of Microbiology and Immunology, Stanford University, Stanford, CA 94305, USA. ; Department of Pathology, Stanford University, Stanford, CA 94305, USA. ; Department of Pathology, Stanford University, Stanford, CA 94305, USA. Program in Immunology, Stanford University, Stanford, CA 94305, USA. ; Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Stanford University, Stanford, CA 94305, USA. ; Baxter Laboratory in Stem Cell Biology, Department of Microbiology and Immunology, Stanford University, Stanford, CA 94305, USA. Program in Immunology, Stanford University, Stanford, CA 94305, USA. gnolan@stanford.edu matthew.spitzer@stanford.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26160952" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Bone Marrow/immunology ; Circadian Rhythm/immunology ; Flow Cytometry ; Genetic Variation ; Humans ; Immune System/*cytology/*immunology ; Mice ; Mice, Inbred C57BL ; Models, Biological ; Phenotype ; Reference Standards
    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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  • 4
    Publication Date: 2018-01-06
    Description: Journal of the American Chemical Society DOI: 10.1021/jacs.7b08189
    Print ISSN: 0002-7863
    Electronic ISSN: 1520-5126
    Topics: Chemistry and Pharmacology
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  • 5
    Publication Date: 2013-04-27
    Description: Neurotransmitters have been thought to be fixed throughout life, but whether sensory stimuli alter behaviorally relevant transmitter expression in the mature brain is unknown. We found that populations of interneurons in the adult rat hypothalamus switched between dopamine and somatostatin expression in response to exposure to short- and long-day photoperiods. Changes in postsynaptic dopamine receptor expression matched changes in presynaptic dopamine, whereas somatostatin receptor expression remained constant. Pharmacological blockade or ablation of these dopaminergic neurons led to anxious and depressed behavior, phenocopying performance after exposure to the long-day photoperiod. Induction of newly dopaminergic neurons through exposure to the short-day photoperiod rescued the behavioral consequences of lesions. Natural stimulation of other sensory modalities may cause changes in transmitter expression that regulate different behaviors.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Dulcis, Davide -- Jamshidi, Pouya -- Leutgeb, Stefan -- Spitzer, Nicholas C -- New York, N.Y. -- Science. 2013 Apr 26;340(6131):449-53. doi: 10.1126/science.1234152.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Neurobiology Section, Division of Biological Sciences and Center for Neural Circuits and Behavior, University of California-San Diego, La Jolla, CA 92093-0357, USA. ddulcis@gmail.com〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23620046" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Behavior, Animal/*physiology ; Brain/metabolism/*physiology ; Cell Count ; Dopamine/*metabolism ; Dopaminergic Neurons/metabolism/*physiology ; Hypothalamus/metabolism/physiology ; Male ; Maze Learning ; *Photoperiod ; Rats ; Rats, Long-Evans ; Receptors, Dopamine/metabolism ; Receptors, Somatostatin/metabolism ; Seasons ; Somatostatin/*metabolism ; Stress, Psychological/*psychology ; *Synaptic Transmission
    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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  • 6
    Publication Date: 2014-10-25
    Description: Cellular circuits sense the environment, process signals, and compute decisions using networks of interacting proteins. To model such a system, the abundance of each activated protein species can be described as a stochastic function of the abundance of other proteins. High-dimensional single-cell technologies, such as mass cytometry, offer an opportunity to characterize signaling circuit-wide. However, the challenge of developing and applying computational approaches to interpret such complex data remains. Here, we developed computational methods, based on established statistical concepts, to characterize signaling network relationships by quantifying the strengths of network edges and deriving signaling response functions. In comparing signaling between naive and antigen-exposed CD4(+) T lymphocytes, we find that although these two cell subtypes had similarly wired networks, naive cells transmitted more information along a key signaling cascade than did antigen-exposed cells. We validated our characterization on mice lacking the extracellular-regulated mitogen-activated protein kinase (MAPK) ERK2, which showed stronger influence of pERK on pS6 (phosphorylated-ribosomal protein S6), in naive cells as compared with antigen-exposed cells, as predicted. We demonstrate that by using cell-to-cell variation inherent in single-cell data, we can derive response functions underlying molecular circuits and drive the understanding of how cells process signals.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4334155/" 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/PMC4334155/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Krishnaswamy, Smita -- Spitzer, Matthew H -- Mingueneau, Michael -- Bendall, Sean C -- Litvin, Oren -- Stone, Erica -- Pe'er, Dana -- Nolan, Garry P -- 1K01DK095008/DK/NIDDK NIH HHS/ -- 1R01CA130826/CA/NCI NIH HHS/ -- 1U54CA121852-01A1/CA/NCI NIH HHS/ -- CA 09-011/CA/NCI NIH HHS/ -- HHSN268201000034C/HV/NHLBI NIH HHS/ -- HHSN272200700038C/PHS HHS/ -- HV-10-05/HV/NHLBI NIH HHS/ -- K01 DK095008/DK/NIDDK NIH HHS/ -- P01 CA034233/CA/NCI NIH HHS/ -- R00 GM104148/GM/NIGMS NIH HHS/ -- R01 CA130826/CA/NCI NIH HHS/ -- S10RR027582-01/RR/NCRR NIH HHS/ -- U19 AI057229/AI/NIAID NIH HHS/ -- U19 AI100627/AI/NIAID NIH HHS/ -- U54 CA149145/CA/NCI NIH HHS/ -- New York, N.Y. -- Science. 2014 Nov 28;346(6213):1250689. doi: 10.1126/science.1250689. Epub 2014 Oct 23.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biological Sciences, Department of Systems Biology, Columbia University, New York, NY, USA. ; Baxter Laboratory in Stem Cell Biology, Department of Microbiology and Immunology, Stanford University, Stanford, CA, USA. ; Division of Immunology, Department of Microbiology and Immunobiology, Harvard Medical School, Boston, MA, USA. ; Molecular Biology Section, Division of Biological Sciences, Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA. ; Department of Biological Sciences, Department of Systems Biology, Columbia University, New York, NY, USA. dpeer@biology.columbia.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25342659" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; CD4-Positive T-Lymphocytes/*immunology ; Computer Simulation ; Image Cytometry ; Male ; Mice ; Mice, Mutant Strains ; Mitogen-Activated Protein Kinase 1/genetics ; Receptors, Antigen, T-Cell/*metabolism ; Ribosomal Protein S6/metabolism ; Signal Transduction ; Single-Cell Analysis/*methods ; Systems Biology/*methods ; eIF-2 Kinase/metabolism
    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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