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    Wyświetlanie 1-16 z 16
    Tytuł:
    Predicting anti-cancer drug combination responses with a temporal cell state network model.
    Autorzy:
    Sarmah D; Department of Chemical and Biomolecular Engineering, Clemson University, Clemson, South Carolina, United States of America.
    Meredith WO; Department of Chemical and Biomolecular Engineering, Clemson University, Clemson, South Carolina, United States of America.
    Weber IK; Department of Chemical and Biomolecular Engineering, Clemson University, Clemson, South Carolina, United States of America.; The University of Virginia School of Medicine, Charlottesville, Virginia, United States of America.
    Price MR; Department of Chemical and Biomolecular Engineering, Clemson University, Clemson, South Carolina, United States of America.; College of Pharmacy, Medical University of South Carolina, Charleston, South Carolina, United States of America.
    Birtwistle MR; Department of Chemical and Biomolecular Engineering, Clemson University, Clemson, South Carolina, United States of America.; Department of Bioengineering, Clemson University, Clemson, South Carolina, United States of America.
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    Źródło:
    PLoS computational biology [PLoS Comput Biol] 2023 May 01; Vol. 19 (5), pp. e1011082. Date of Electronic Publication: 2023 May 01 (Print Publication: 2023).
    Typ publikacji:
    Journal Article; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural
    MeSH Terms:
    Antineoplastic Agents*/pharmacology
    Antineoplastic Agents*/therapeutic use
    Neoplasms*/drug therapy
    Humans ; Drug Combinations ; Cell Proliferation ; Cell Line, Tumor
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
    Tytuł:
    MEMMAL: A tool for expanding large-scale mechanistic models with machine learned associations and big datasets.
    Autorzy:
    Erdem C; Department of Chemical and Biomolecular Engineering, Clemson University, Clemson, SC, United States.
    Birtwistle MR; Department of Chemical and Biomolecular Engineering, Clemson University, Clemson, SC, United States.; Department of Bioengineering, Clemson University, Clemson, SC, United States.
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    Źródło:
    Frontiers in systems biology [Front Syst Biol] 2023; Vol. 3. Date of Electronic Publication: 2023 Mar 09.
    Typ publikacji:
    Journal Article
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknieSzczegóły
    Tytuł:
    Network inference from perturbation time course data.
    Autorzy:
    Sarmah D; Department of Chemical and Biomolecular Engineering, Clemson University, Clemson, SC, USA.
    Smith GR; Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
    Bouhaddou M; J. David Gladstone Institutes, San Francisco, CA, 94158, USA.; Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA.
    Stern AD; Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
    Erskine J; Department of Chemical and Biomolecular Engineering, Clemson University, Clemson, SC, USA.
    Birtwistle MR; Department of Chemical and Biomolecular Engineering, Clemson University, Clemson, SC, USA. .; Department of Bioengineering, Clemson University, Clemson, SC, USA. .
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    Źródło:
    NPJ systems biology and applications [NPJ Syst Biol Appl] 2022 Nov 01; Vol. 8 (1), pp. 42. Date of Electronic Publication: 2022 Nov 01.
    Typ publikacji:
    Journal Article; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural
    MeSH Terms:
    Systems Biology*/methods
    Algorithms*
    Gene Regulatory Networks/genetics ; Signal Transduction/physiology
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
    Tytuł:
    Relating individual cell division events to single-cell ERK and Akt activity time courses.
    Autorzy:
    Stern AD; Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
    Smith GR; Department of Neurology, Center for Advanced Research on Diagnostic Assays, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
    Santos LC; Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
    Sarmah D; Department of Chemical and Biomolecular Engineering, Clemson University, Clemson, SC, USA.
    Zhang X; School of Computing, Clemson University, Clemson, SC, USA.
    Lu X; Department of Chemical and Biomolecular Engineering, Clemson University, Clemson, SC, USA.
    Iuricich F; School of Computing, Clemson University, Clemson, SC, USA.
    Pandey G; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
    Iyengar R; Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
    Birtwistle MR; Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA. .; Department of Chemical and Biomolecular Engineering, Clemson University, Clemson, SC, USA. .
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    Źródło:
    Scientific reports [Sci Rep] 2022 Oct 27; Vol. 12 (1), pp. 18077. Date of Electronic Publication: 2022 Oct 27.
    Typ publikacji:
    Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
    MeSH Terms:
    Proto-Oncogene Proteins c-akt*/metabolism
    Extracellular Signal-Regulated MAP Kinases*/metabolism
    Animals ; Signal Transduction ; Cell Division ; Cell Cycle ; Mammals/metabolism
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
    Tytuł:
    A multi-omic analysis of MCF10A cells provides a resource for integrative assessment of ligand-mediated molecular and phenotypic responses.
    Autorzy:
    Gross SM; Department of Biomedical Engineering, OHSU, Portland, OR, USA.
    Dane MA; Department of Biomedical Engineering, OHSU, Portland, OR, USA.
    Smith RL; Department of Biomedical Engineering, OHSU, Portland, OR, USA.
    Devlin KL; Department of Biomedical Engineering, OHSU, Portland, OR, USA.
    McLean IC; Department of Biomedical Engineering, OHSU, Portland, OR, USA.
    Derrick DS; Department of Biomedical Engineering, OHSU, Portland, OR, USA.
    Mills CE; Laboratory of Systems Pharmacology, Department of Systems Biology, Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA, USA.
    Subramanian K; Laboratory of Systems Pharmacology, Department of Systems Biology, Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA, USA.
    London AB; Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
    Torre D; Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
    Evangelista JE; Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
    Clarke DJB; Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
    Xie Z; Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
    Erdem C; Department of Chemical and Biomolecular Engineering, Clemson University, Clemson, SC, USA.
    Lyons N; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
    Natoli T; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
    Pessa S; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
    Lu X; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
    Mullahoo J; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
    Li J; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
    Adam M; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
    Wassie B; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
    Liu M; Department of Biomedical Engineering, OHSU, Portland, OR, USA.
    Kilburn DF; Department of Biomedical Engineering, OHSU, Portland, OR, USA.
    Liby TA; Department of Biomedical Engineering, OHSU, Portland, OR, USA.
    Bucher E; Department of Biomedical Engineering, OHSU, Portland, OR, USA.
    Sanchez-Aguila C; Department of Biomedical Engineering, OHSU, Portland, OR, USA.
    Daily K; Sage Bionetworks, Seattle, WA, USA.
    Omberg L; Sage Bionetworks, Seattle, WA, USA.
    Wang Y; Laboratory of Systems Pharmacology, Department of Systems Biology, Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA, USA.
    Jacobson C; Laboratory of Systems Pharmacology, Department of Systems Biology, Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA, USA.
    Yapp C; Laboratory of Systems Pharmacology, Department of Systems Biology, Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA, USA.
    Chung M; Laboratory of Systems Pharmacology, Department of Systems Biology, Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA, USA.
    Vidovic D; Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, 33136, USA.; Department of Molecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, Miami, FL, 33136, USA.; Institute for Data Science & Computing, University of Miami, Miami, FL, 33136, USA.
    Lu Y; Department of Genomic Medicine, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
    Schurer S; Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, 33136, USA.; Department of Molecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, Miami, FL, 33136, USA.; Institute for Data Science & Computing, University of Miami, Miami, FL, 33136, USA.
    Lee A; Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, USA.
    Pillai A; Human Genome Research Institute, National Institutes of Health, Bethesda, USA.
    Subramanian A; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
    Papanastasiou M; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
    Fraenkel E; Broad Institute of MIT and Harvard, Cambridge, MA, USA.; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
    Feiler HS; Department of Biomedical Engineering, OHSU, Portland, OR, USA.; Knight Cancer Institute, OHSU, Portland, OR, USA.
    Mills GB; Knight Cancer Institute, OHSU, Portland, OR, USA.; Division of Oncological Sciences, OHSU, Portland, OR, USA.
    Jaffe JD; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
    Ma'ayan A; Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
    Birtwistle MR; Department of Chemical and Biomolecular Engineering, Clemson University, Clemson, SC, USA.
    Sorger PK; Laboratory of Systems Pharmacology, Department of Systems Biology, Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA, USA.
    Korkola JE; Department of Biomedical Engineering, OHSU, Portland, OR, USA.; Knight Cancer Institute, OHSU, Portland, OR, USA.
    Gray JW; Department of Biomedical Engineering, OHSU, Portland, OR, USA.; Knight Cancer Institute, OHSU, Portland, OR, USA.
    Heiser LM; Department of Biomedical Engineering, OHSU, Portland, OR, USA. .; Knight Cancer Institute, OHSU, Portland, OR, USA. .
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    Źródło:
    Communications biology [Commun Biol] 2022 Oct 07; Vol. 5 (1), pp. 1066. Date of Electronic Publication: 2022 Oct 07.
    Typ publikacji:
    Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
    MeSH Terms:
    Epidermal Growth Factor*/pharmacology
    Proteomics*
    Extracellular Matrix Proteins ; Ligands ; Phenotype
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
    Tytuł:
    Predicting In Vivo Efficacy from In Vitro Data: Quantitative Systems Pharmacology Modeling for an Epigenetic Modifier Drug in Cancer.
    Autorzy:
    Bouhaddou M; Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center, New York, New York, USA.; Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.; Cellular and Molecular Pharmacology, University of California, San Francisco, California, USA.; J. David Gladstone Institutes, San Francisco, California, USA.
    Yu LJ; Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center, New York, New York, USA.
    Lunardi S; Oryzon Genomics S.A., Cornellà de Llobregat, Spain.
    Stamatelos SK; Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center, New York, New York, USA.; Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
    Mack F; Roche Pharma Research and Early Development, Oncology, Roche Innovation Center, New York, New York, USA.
    Gallo JM; Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.; Pharmaceutical Sciences, University at Buffalo, Buffalo, New York, USA.
    Birtwistle MR; Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.; Chemical and Biomolecular Engineering, Clemson University, Clemson, South Carolina, USA.
    Walz AC; Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center, Basel, Switzerland.
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    Źródło:
    Clinical and translational science [Clin Transl Sci] 2020 Mar; Vol. 13 (2), pp. 419-429. Date of Electronic Publication: 2020 Jan 16.
    Typ publikacji:
    Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
    MeSH Terms:
    Models, Biological*
    Antineoplastic Agents/*pharmacology
    Epigenesis, Genetic/*drug effects
    Gene Expression Regulation, Neoplastic/*drug effects
    Neoplasms/*drug therapy
    Animals ; Antineoplastic Agents/therapeutic use ; Cell Line, Tumor ; DNA Methylation/drug effects ; Datasets as Topic ; Histone Demethylases/antagonists & inhibitors ; Histone Demethylases/metabolism ; Humans ; Mice ; Neoplasms/genetics ; Xenograft Model Antitumor Assays
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
    Tytuł:
    Validating Antibodies for Quantitative Western Blot Measurements with Microwestern Array.
    Autorzy:
    Koch RJ; Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
    Barrette AM; Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
    Stern AD; Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
    Hu B; Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
    Bouhaddou M; Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
    Azeloglu EU; Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
    Iyengar R; Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA. .
    Birtwistle MR; Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA. .; Department of Chemical and Biomolecular Engineering, Clemson University, Clemson, SC, 29634, USA. .
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    Źródło:
    Scientific reports [Sci Rep] 2018 Jul 27; Vol. 8 (1), pp. 11329. Date of Electronic Publication: 2018 Jul 27.
    Typ publikacji:
    Journal Article; Research Support, N.I.H., Extramural
    MeSH Terms:
    Antibodies/*immunology
    Blotting, Western/*methods
    Membrane Proteins/*isolation & purification
    Antibodies/genetics ; Evaluation Studies as Topic ; Fluorescence ; Humans ; Membrane Proteins/immunology
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
    Tytuł:
    A mechanistic pan-cancer pathway model informed by multi-omics data interprets stochastic cell fate responses to drugs and mitogens.
    Autorzy:
    Bouhaddou M; Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America.
    Barrette AM; Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America.
    Stern AD; Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America.
    Koch RJ; Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America.
    DiStefano MS; Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America.
    Riesel EA; Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America.
    Santos LC; Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America.
    Tan AL; Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America.
    Mertz AE; Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America.
    Birtwistle MR; Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America.; Department of Chemical and Biomolecular Engineering, Clemson University, Clemson, SC, United States of America.
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    Źródło:
    PLoS computational biology [PLoS Comput Biol] 2018 Mar 26; Vol. 14 (3), pp. e1005985. Date of Electronic Publication: 2018 Mar 26 (Print Publication: 2018).
    Typ publikacji:
    Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
    MeSH Terms:
    Neoplasms*/genetics
    Neoplasms*/metabolism
    Antineoplastic Agents/*pharmacology
    Computational Biology/*methods
    Mitogens/*pharmacology
    Signal Transduction/*drug effects
    Algorithms ; Cell Line, Tumor ; Gene Expression Profiling ; Humans ; Stochastic Processes
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
    Tytuł:
    Analysis of copy number loss of the ErbB4 receptor tyrosine kinase in glioblastoma.
    Autorzy:
    Jones DC; Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
    Scanteianu A; Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
    DiStefano M; Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
    Bouhaddou M; Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
    Birtwistle MR; Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
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    Źródło:
    PloS one [PLoS One] 2018 Jan 17; Vol. 13 (1), pp. e0190664. Date of Electronic Publication: 2018 Jan 17 (Print Publication: 2018).
    Typ publikacji:
    Journal Article; Research Support, N.I.H., Extramural
    MeSH Terms:
    DNA Copy Number Variations*
    Brain Neoplasms/*genetics
    Glioblastoma/*genetics
    Receptor, ErbB-4/*genetics
    Humans ; Polymorphism, Single Nucleotide
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
    Tytuł:
    A Mechanistic Beta-Binomial Probability Model for mRNA Sequencing Data.
    Autorzy:
    Smith GR; Department of Pharmacology and Systems Therapeutics, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
    Birtwistle MR; Department of Pharmacology and Systems Therapeutics, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
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    Źródło:
    PloS one [PLoS One] 2016 Jun 21; Vol. 11 (6), pp. e0157828. Date of Electronic Publication: 2016 Jun 21 (Print Publication: 2016).
    Typ publikacji:
    Journal Article
    MeSH Terms:
    Models, Statistical*
    Probability*
    Statistics as Topic*
    Sequence Analysis, RNA/*methods
    Gene Expression Profiling ; Gene Expression Regulation ; RNA, Messenger/genetics ; RNA, Messenger/metabolism ; Reproducibility of Results
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknieSzczegóły
    Tytuł:
    Silence on the relevant literature and errors in implementation.
    Autorzy:
    Bastiaens P; Department of Systemic Cell Biology, Max Planck Institute of Molecular Physiology, Dortmund, Germany.
    Birtwistle MR; Icahn School of Medicine at Mount Sinai, Dept. of Pharmacology and Systems Therapeutics, New York, New York, USA.
    Blüthgen N; 1] Institut für Pathologie Charite, Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany. [2] Integrative Research Institute for the Life Sciences, Humboldt University Berlin, Berlin, Germany.
    Bruggeman FJ; Systems Bioinformatics, VU University, Amsterdam, The Netherlands.
    Cho KH; Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Yuseong-gu, Daejeon, Republic of Korea.
    Cosentino C; Department of Experimental and Clinical Medicine, Magna Graecia University of Catanzaro, Campus Salvatore Venuta, Catanzaro, Italy.
    de la Fuente A; Department of Biomathematics and Bioinformatics, Institute for Genetics and Biometry, Leibniz Institute for Farm Animal Biology, Dummerstorf, Mecklenburg-Vorpommern, Germany.
    Hoek JB; Department of Pathology, Anatomy and Cell Biology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
    Kiyatkin A; Department of Physiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
    Klamt S; Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany.
    Kolch W; 1] Systems Biology Ireland, University College Dublin, Belfield, Dublin, Ireland. [2] Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield, Dublin, Ireland. [3] School of Medicine and Medical Science, University College Dublin, Belfield, Dublin, Ireland.
    Legewie S; Institute of Molecular Biology (IMB), Mainz, Germany.
    Mendes P; 1] Manchester Centre for Integrative Systems Biology, Manchester Institute of Biotechnology, The University of Manchester, Manchester, UK. [2] School of Computer Science, Manchester Institute of Biotechnology, The University of Manchester, Manchester, UK. [3] Center for Quantitative Medicine, University of Connecticut Health Center, Farmington, Connecticut, USA.
    Naka T; Faculty of Information Science, Kyushu Sangyo University, Higashi-ku, Fukuoka, Japan.
    Santra T; Systems Biology Ireland, University College Dublin, Belfield, Dublin, Ireland.
    Sontag E; Department of Mathematics and Cancer Institute of New Jersey, Rutgers University, Piscataway, New Jersey, USA.
    Westerhoff HV; 1] Manchester Centre for Integrative Systems Biology, Manchester Institute of Biotechnology, The University of Manchester, Manchester, UK. [2] Molecular Cell Physiology, VU University, Amsterdam, The Netherlands. [3] Synthetic Systems Biology, Swammerdam Institute for Life Sciences, Faculty of Science, University of Amsterdam, Amsterdam, The Netherlands.
    Kholodenko BN; 1] Systems Biology Ireland, University College Dublin, Belfield, Dublin, Ireland. [2] Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield, Dublin, Ireland. [3] School of Medicine and Medical Science, University College Dublin, Belfield, Dublin, Ireland.
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    Źródło:
    Nature biotechnology [Nat Biotechnol] 2015 Apr; Vol. 33 (4), pp. 336-9.
    Typ publikacji:
    Letter; Comment
    MeSH Terms:
    Gene Regulatory Networks*
    Models, Theoretical*
    Opinia redakcyjna
    Pełny tekst  Link otwiera się w nowym oknieSzczegóły
    Tytuł:
    Evaluating strategies to normalise biological replicates of Western blot data.
    Autorzy:
    Degasperi A; Systems Biology Ireland, University College Dublin, Dublin, Republic of Ireland.
    Birtwistle MR; Department of Pharmacology and Systems Therapeutics, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
    Volinsky N; Systems Biology Ireland, University College Dublin, Dublin, Republic of Ireland.
    Rauch J; Systems Biology Ireland, University College Dublin, Dublin, Republic of Ireland.
    Kolch W; Systems Biology Ireland, University College Dublin, Dublin, Republic of Ireland ; Conway Institute of Biomolecular & Biomedical Research, University College Dublin, Dublin, Republic of Ireland ; School of Medicine and Medical Science, University College Dublin, Dublin, Republic of Ireland.
    Kholodenko BN; Systems Biology Ireland, University College Dublin, Dublin, Republic of Ireland ; Conway Institute of Biomolecular & Biomedical Research, University College Dublin, Dublin, Republic of Ireland ; School of Medicine and Medical Science, University College Dublin, Dublin, Republic of Ireland.
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    Źródło:
    PloS one [PLoS One] 2014 Jan 27; Vol. 9 (1), pp. e87293. Date of Electronic Publication: 2014 Jan 27 (Print Publication: 2014).
    Typ publikacji:
    Journal Article; Research Support, Non-U.S. Gov't
    MeSH Terms:
    Research Design*
    Blotting, Western/*methods
    Data Interpretation, Statistical ; Electrophoresis, Polyacrylamide Gel ; Humans ; Image Processing, Computer-Assisted ; MCF-7 Cells
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknieSzczegóły
    Tytuł:
    Emergence of bimodal cell population responses from the interplay between analog single-cell signaling and protein expression noise.
    Autorzy:
    Birtwistle MR; Dept. of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, New York, NY 10029, USA.
    Rauch J
    Kiyatkin A
    Aksamitiene E
    Dobrzyński M
    Hoek JB
    Kolch W
    Ogunnaike BA
    Kholodenko BN
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    Źródło:
    BMC systems biology [BMC Syst Biol] 2012 Aug 24; Vol. 6, pp. 109. Date of Electronic Publication: 2012 Aug 24.
    Typ publikacji:
    Journal Article; Research Support, Non-U.S. Gov't
    MeSH Terms:
    Gene Expression Regulation*/drug effects
    Models, Biological*
    Signal Transduction*/drug effects
    Extracellular Signal-Regulated MAP Kinases/*metabolism
    Enzyme Activation/drug effects ; Epidermal Growth Factor/pharmacology ; Feedback, Physiological/drug effects ; HEK293 Cells ; Humans ; Stochastic Processes ; ras Proteins/metabolism
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknieSzczegóły
    Tytuł:
    Novel somatic mutations to PI3K pathway genes in metastatic melanoma.
    Autorzy:
    Shull AY; Georgia Health Sciences University Cancer Center, Georgia Health Sciences University, Augusta, Georgia, United States of America.
    Latham-Schwark A
    Ramasamy P
    Leskoske K
    Oroian D
    Birtwistle MR
    Buckhaults PJ
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    Źródło:
    PloS one [PLoS One] 2012; Vol. 7 (8), pp. e43369. Date of Electronic Publication: 2012 Aug 17.
    Typ publikacji:
    Journal Article; Research Support, N.I.H., Extramural
    MeSH Terms:
    Mutation*
    1-Phosphatidylinositol 4-Kinase/*genetics
    Melanoma/*genetics
    Signal Transduction/*genetics
    Adolescent ; Adult ; Aged ; Alleles ; Amino Acid Sequence ; Base Sequence ; DNA Mutational Analysis ; Female ; Gene Frequency ; Genetic Predisposition to Disease/genetics ; Genotype ; Humans ; MAP Kinase Signaling System/genetics ; Male ; Melanoma/pathology ; Middle Aged ; Neoplasm Metastasis ; Proto-Oncogene Proteins B-raf/genetics ; Sequence Homology, Amino Acid ; Sequence Homology, Nucleic Acid ; Young Adult ; ras Proteins/genetics
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknieSzczegóły
    Tytuł:
    Linear approaches to intramolecular Förster resonance energy transfer probe measurements for quantitative modeling.
    Autorzy:
    Birtwistle MR; Systems Biology Ireland, University College Dublin, Belfield, Republic of Ireland. marc.birtwistle@gmail.com
    von Kriegsheim A
    Kida K
    Schwarz JP
    Anderson KI
    Kolch W
    Pokaż więcej
    Źródło:
    PloS one [PLoS One] 2011; Vol. 6 (11), pp. e27823. Date of Electronic Publication: 2011 Nov 16.
    Typ publikacji:
    Journal Article; Research Support, Non-U.S. Gov't
    MeSH Terms:
    Fluorescence Resonance Energy Transfer*
    Fluorescent Dyes*
    Luminescent Proteins/*metabolism
    Algorithms ; Humans ; Image Processing, Computer-Assisted ; Microscopy, Fluorescence
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknieSzczegóły
      Wyświetlanie 1-16 z 16

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