A single-cell mass cytometry-based atlas of the developing mouse brain.

Autor: Van Deusen AL; Department of Biology, College of Arts and Sciences, University of Virginia, Charlottesville, VA, USA.; Neuroscience Graduate Program, School of Medicine, University of Virginia, Charlottesville, VA, USA.; Department of Biomedical Engineering, School of Engineering, University of Virginia, Charlottesville, VA, USA., Kumar S; Department of Biology, College of Arts and Sciences, University of Virginia, Charlottesville, VA, USA.; Neuroscience Graduate Program, School of Medicine, University of Virginia, Charlottesville, VA, USA., Calhan OY; Department of Biology, College of Arts and Sciences, University of Virginia, Charlottesville, VA, USA., Goggin SM; Neuroscience Graduate Program, School of Medicine, University of Virginia, Charlottesville, VA, USA.; Department of Biomedical Engineering, School of Engineering, University of Virginia, Charlottesville, VA, USA., Shi J; Department of Biology, College of Arts and Sciences, University of Virginia, Charlottesville, VA, USA., Williams CM; Department of Biomedical Engineering, School of Engineering, University of Virginia, Charlottesville, VA, USA., Keeler AB; Department of Biology, College of Arts and Sciences, University of Virginia, Charlottesville, VA, USA., Fread KI; Department of Biomedical Engineering, School of Engineering, University of Virginia, Charlottesville, VA, USA., Gadani IC; Department of Biology, College of Arts and Sciences, University of Virginia, Charlottesville, VA, USA.; Neuroscience Graduate Program, School of Medicine, University of Virginia, Charlottesville, VA, USA., Deppmann CD; Department of Biology, College of Arts and Sciences, University of Virginia, Charlottesville, VA, USA. deppmann@virginia.edu.; Neuroscience Graduate Program, School of Medicine, University of Virginia, Charlottesville, VA, USA. deppmann@virginia.edu.; Department of Biomedical Engineering, School of Engineering, University of Virginia, Charlottesville, VA, USA. deppmann@virginia.edu.; Department of Neuroscience, School of Medicine, University of Virginia, Charlottesville, VA, USA. deppmann@virginia.edu.; Department of Cell Biology, School of Medicine, University of Virginia, Charlottesville, VA, USA. deppmann@virginia.edu.; Program in Fundamental Neuroscience, College of Arts and Sciences, University of Virginia, Charlottesville, VA, USA. deppmann@virginia.edu., Zunder ER; Neuroscience Graduate Program, School of Medicine, University of Virginia, Charlottesville, VA, USA. ezunder@virginia.edu.; Department of Biomedical Engineering, School of Engineering, University of Virginia, Charlottesville, VA, USA. ezunder@virginia.edu.; Program in Fundamental Neuroscience, College of Arts and Sciences, University of Virginia, Charlottesville, VA, USA. ezunder@virginia.edu.

Publikováno v: Nature neuroscience [Nat Neurosci] 2024 Dec 18. Date of Electronic Publication: 2024 Dec 18.

FLOW-MAP: a graph-based, force-directed layout algorithm for trajectory mapping in single-cell time course datasets.

Autor: Ko ME; Cancer Biology Program, Stanford School of Medicine, Stanford, CA, USA., Williams CM; Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, USA.; Robert M. Berne Cardiovascular Research Center, University of Virginia, Charlottesville, VA, USA., Fread KI; Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, USA., Goggin SM; Neuroscience Graduate Program, University of Virginia, Charlottesville, VA, USA., Rustagi RS; Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, USA., Fragiadakis GK; Department of Microbiology and Immunology, Stanford University, Stanford, CA, USA., Nolan GP; Department of Microbiology and Immunology, Stanford University, Stanford, CA, USA., Zunder ER; Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, USA. ezunder@virginia.edu.

Publikováno v: Nature protocols [Nat Protoc] 2020 Feb; Vol. 15 (2), pp. 398-420. Date of Electronic Publication: 2020 Jan 13.

Tom1 Modulates Binding of Tollip to Phosphatidylinositol 3-Phosphate via a Coupled Folding and Binding Mechanism.

Autor: Xiao S; Protein Signaling Domains Laboratory, Department of Biological Sciences, Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, VA 24061, USA., Brannon MK; Protein Signaling Domains Laboratory, Department of Biological Sciences, Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, VA 24061, USA., Zhao X; Protein Signaling Domains Laboratory, Department of Biological Sciences, Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, VA 24061, USA., Fread KI; Protein Signaling Domains Laboratory, Department of Biological Sciences, Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, VA 24061, USA., Ellena JF; Department of Chemistry and Biochemistry, University of Virginia, Charlottesville, VA 22904, USA., Bushweller JH; Department of Chemistry and Biochemistry, University of Virginia, Charlottesville, VA 22904, USA., Finkielstein CV; Integrated Cellular Responses Laboratory, Department of Biological Sciences, Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, VA 24061, USA., Armstrong GS; Departments of Chemistry and Biochemistry, University of Colorado at Boulder, Boulder, CO 80309, USA., Capelluto DGS; Protein Signaling Domains Laboratory, Department of Biological Sciences, Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, VA 24061, USA. Electronic address: capellut@vt.edu.

Publikováno v: Structure (London, England : 1993) [Structure] 2015 Oct 06; Vol. 23 (10), pp. 1910-1920. Date of Electronic Publication: 2015 Aug 27.