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  • Articles  (55)
  • Binding Sites
  • Signal Transduction
  • American Association for the Advancement of Science (AAAS)  (55)
  • 2015-2019  (55)
  • Natural Sciences in General  (55)
  • Energy, Environment Protection, Nuclear Power Engineering
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  • Articles  (55)
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  • 1
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    American Association for the Advancement of Science (AAAS)
    In: Science
    Publication Date: 2017-03-25
    Description: Author: L. Bryan Ray
    Keywords: Signal Transduction
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Geosciences , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 2
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    American Association for the Advancement of Science (AAAS)
    In: Science
    Publication Date: 2016-10-14
    Description: Authors: Caroline Ash, L. Bryan Ray
    Keywords: Signal Transduction
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Geosciences , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 3
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    American Association for the Advancement of Science (AAAS)
    In: Science
    Publication Date: 2016-10-14
    Description: Reversible protein phosphorylation plays a fundamental role in signal transduction networks. Phosphorylation alters protein function by regulating enzymatic activity, stability, cellular localization, or binding partners. Over three-quarters of human proteins may be phosphorylated, with many targeted at multiple sites. Such multisite phosphorylation substantially increases the scope for modulating protein function—a protein with n phosphorylation sites has the potential to exist in 2n distinct phosphorylation states, each of which could, in theory, display modified functionality. Proteins can be substrates for several protein kinases, thereby integrating distinct signals to provide a coherent biological response. However, they can also be phosphorylated at multiple sites by a single protein kinase to promote a specific functional output that can be reversed by dephosphorylation by protein phosphatases. On page 233 of this issue, Mylona et al. (1) reveal an unexpected role for multisite phosphorylation, whereby a protein kinase progressively phosphorylates sites on a transcription factor to promote and then subsequently limit its activity independently of dephosphorylation. Authors: Alan J. Whitmarsh, Roger J. Davis
    Keywords: Signal Transduction
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Geosciences , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 4
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    American Association for the Advancement of Science (AAAS)
    In: Science
    Publication Date: 2016-09-03
    Description: Author: L. Bryan Ray
    Keywords: Signal Transduction
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Geosciences , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 5
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    American Association for the Advancement of Science (AAAS)
    In: Science
    Publication Date: 2016-08-16
    Description: Author: L. Bryan Ray
    Keywords: Signal Transduction
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Geosciences , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 6
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    American Association for the Advancement of Science (AAAS)
    In: Science
    Publication Date: 2016-05-20
    Description: Author: L. Bryan Ray
    Keywords: Signal Transduction
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Geosciences , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 7
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    American Association for the Advancement of Science (AAAS)
    In: Science
    Publication Date: 2016-04-29
    Description: Author: L. Bryan Ray
    Keywords: Signal Transduction
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Geosciences , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 8
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    American Association for the Advancement of Science (AAAS)
    Publication Date: 2016-04-29
    Description: Metastatic disease is the leading cause of cancer-related deaths and involves critical interactions between tumor cells and the microenvironment. Hypoxia is a potent microenvironmental factor promoting metastatic progression. Clinically, hypoxia and the expression of the hypoxia-inducible transcription factors HIF-1 and HIF-2 are associated with increased distant metastasis and poor survival in a variety of tumor types. Moreover, HIF signaling in malignant cells influences multiple steps within the metastatic cascade. Here we review research focused on elucidating the mechanisms by which the hypoxic tumor microenvironment promotes metastatic progression. These studies have identified potential biomarkers and therapeutic targets regulated by hypoxia that could be incorporated into strategies aimed at preventing and treating metastatic disease.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Rankin, Erinn B -- Giaccia, Amato J -- CA-197713/CA/NCI NIH HHS/ -- CA-198291/CA/NCI NIH HHS/ -- CA-67166/CA/NCI NIH HHS/ -- New York, N.Y. -- Science. 2016 Apr 8;352(6282):175-80. doi: 10.1126/science.aaf4405. Epub 2016 Apr 7.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Division of Radiation and Cancer Biology, Department of Radiation Oncology, Stanford University Medical Center, Stanford, CA 94305-5152, USA. Department of Obstetrics and Gynecology, Stanford University Medical Center, Stanford, CA 94305-5152, USA. ; Division of Radiation and Cancer Biology, Department of Radiation Oncology, Stanford University Medical Center, Stanford, CA 94305-5152, USA. giaccia@stanford.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27124451" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Basic Helix-Loop-Helix Transcription Factors/*metabolism ; Biomarkers, Tumor/analysis/metabolism ; Cell Hypoxia ; Cell Movement ; Disease Progression ; Drug Resistance, Neoplasm ; Epithelial-Mesenchymal Transition ; Humans ; Hypoxia-Inducible Factor 1, alpha Subunit/*metabolism ; Neoplasm Invasiveness ; Neoplasm Metastasis/*pathology/*therapy ; Radiation Tolerance ; Signal Transduction ; *Tumor Microenvironment
    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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  • 9
    Publication Date: 2016-04-09
    Description: Activation of various cell surface receptors triggers the reorganization of downstream signaling molecules into micrometer- or submicrometer-sized clusters. However, the functional consequences of such clustering have been unclear. We biochemically reconstituted a 12-component signaling pathway on model membranes, beginning with T cell receptor (TCR) activation and ending with actin assembly. When TCR phosphorylation was triggered, downstream signaling proteins spontaneously separated into liquid-like clusters that promoted signaling outputs both in vitro and in human Jurkat T cells. Reconstituted clusters were enriched in kinases but excluded phosphatases and enhanced actin filament assembly by recruiting and organizing actin regulators. These results demonstrate that protein phase separation can create a distinct physical and biochemical compartment that facilitates signaling.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Su, Xiaolei -- Ditlev, Jonathon A -- Hui, Enfu -- Xing, Wenmin -- Banjade, Sudeep -- Okrut, Julia -- King, David S -- Taunton, Jack -- Rosen, Michael K -- Vale, Ronald D -- 5-F32-DK101188/DK/NIDDK NIH HHS/ -- F32 DK101188/DK/NIDDK NIH HHS/ -- R01 GM056322/GM/NIGMS NIH HHS/ -- R01-GM56322/GM/NIGMS NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2016 Apr 29;352(6285):595-9. doi: 10.1126/science.aad9964. Epub 2016 Apr 7.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Howard Hughes Medical Institute (HHMI) Summer Institute, Marine Biological Laboratory, Woods Hole, MA 02543, USA. Department of Cellular and Molecular Pharmacology and Howard Hughes Medical Institute, University of California, San Francisco, CA 94158, USA. ; Howard Hughes Medical Institute (HHMI) Summer Institute, Marine Biological Laboratory, Woods Hole, MA 02543, USA. Department of Biophysics and Howard Hughes Medical Institute, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA. ; HHMI Mass Spectrometry Laboratory and Department of Molecular and Cellular Biology, University of California, Berkeley, CA 94720, USA. ; Howard Hughes Medical Institute (HHMI) Summer Institute, Marine Biological Laboratory, Woods Hole, MA 02543, USA. Department of Biophysics and Howard Hughes Medical Institute, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA. ron.vale@ucsf.edu michael.rosen@utsouthwestern.edu. ; Howard Hughes Medical Institute (HHMI) Summer Institute, Marine Biological Laboratory, Woods Hole, MA 02543, USA. Department of Cellular and Molecular Pharmacology and Howard Hughes Medical Institute, University of California, San Francisco, CA 94158, USA. ron.vale@ucsf.edu michael.rosen@utsouthwestern.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27056844" target="_blank"〉PubMed〈/a〉
    Keywords: Actins/*metabolism ; Adaptor Proteins, Signal Transducing/*metabolism ; Fluorescence Recovery After Photobleaching ; Humans ; Jurkat Cells ; Membrane Proteins/*metabolism ; Mitogen-Activated Protein Kinase Kinases ; Phosphorylation ; Polymerization ; Receptors, Antigen, T-Cell/*agonists ; Signal Transduction ; T-Lymphocytes/*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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  • 10
    Publication Date: 2016-03-26
    Description: Sequencing of exomes and genomes has revealed abundant genetic variation affecting the coding sequences of human transcription factors (TFs), but the consequences of such variation remain largely unexplored. We developed a computational, structure-based approach to evaluate TF variants for their impact on DNA binding activity and used universal protein-binding microarrays to assay sequence-specific DNA binding activity across 41 reference and 117 variant alleles found in individuals of diverse ancestries and families with Mendelian diseases. We found 77 variants in 28 genes that affect DNA binding affinity or specificity and identified thousands of rare alleles likely to alter the DNA binding activity of human sequence-specific TFs. Our results suggest that most individuals have unique repertoires of TF DNA binding activities, which may contribute to phenotypic variation.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4825693/" 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/PMC4825693/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Barrera, Luis A -- Vedenko, Anastasia -- Kurland, Jesse V -- Rogers, Julia M -- Gisselbrecht, Stephen S -- Rossin, Elizabeth J -- Woodard, Jaie -- Mariani, Luca -- Kock, Kian Hong -- Inukai, Sachi -- Siggers, Trevor -- Shokri, Leila -- Gordan, Raluca -- Sahni, Nidhi -- Cotsapas, Chris -- Hao, Tong -- Yi, Song -- Kellis, Manolis -- Daly, Mark J -- Vidal, Marc -- Hill, David E -- Bulyk, Martha L -- P50 HG004233/HG/NHGRI NIH HHS/ -- R01 HG003985/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2016 Mar 25;351(6280):1450-4. doi: 10.1126/science.aad2257. Epub 2016 Mar 24.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA. Committee on Higher Degrees in Biophysics, Harvard University, Cambridge, MA 02138, USA. Harvard-MIT Division of Health Sciences and Technology, Harvard Medical School, Boston, MA 02115, USA. Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. ; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA. ; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA. Committee on Higher Degrees in Biophysics, Harvard University, Cambridge, MA 02138, USA. ; Harvard-MIT Division of Health Sciences and Technology, Harvard Medical School, Boston, MA 02115, USA. Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA. Broad Institute of Harvard and MIT, Cambridge, MA 02139, USA. ; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA. Program in Biological and Biomedical Sciences, Harvard University, Cambridge, MA 02138, USA. ; Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA 02215, USA. Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA. Department of Genetics, Harvard Medical School, Boston, MA 02115, USA. ; Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA. Broad Institute of Harvard and MIT, Cambridge, MA 02139, USA. ; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. Broad Institute of Harvard and MIT, Cambridge, MA 02139, USA. ; Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA. Broad Institute of Harvard and MIT, Cambridge, MA 02139, USA. Center for Human Genetics Research and Center for Computational and Integrative Biology, Massachusetts General Hospital, Boston, MA 02114, USA. ; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA. Committee on Higher Degrees in Biophysics, Harvard University, Cambridge, MA 02138, USA. Harvard-MIT Division of Health Sciences and Technology, Harvard Medical School, Boston, MA 02115, USA. Broad Institute of Harvard and MIT, Cambridge, MA 02139, USA. Program in Biological and Biomedical Sciences, Harvard University, Cambridge, MA 02138, USA. Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA 02215, USA. Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27013732" target="_blank"〉PubMed〈/a〉
    Keywords: Base Sequence ; Binding Sites ; Computer Simulation ; DNA/*metabolism ; DNA-Binding Proteins/*genetics/metabolism ; Exome/genetics ; *Gene Expression Regulation ; Genetic Diseases, Inborn/*genetics ; Genetic Variation ; Genome, Human ; Humans ; Mutation ; Polymorphism, Single Nucleotide ; Protein Array Analysis ; Protein Binding ; Sequence Analysis, DNA ; Transcription Factors/*genetics/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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