256 results on '"Matthew B. Stone"'
Search Results
252. Frustration-induced two-dimensional quantum disordered phase in piperazinium hexachlorodicuprate
- Author
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Matthew B. Stone, Daniel H. Reich, Collin Broholm, and Igor Zaliznyak
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Physics ,Strongly Correlated Electrons (cond-mat.str-el) ,Condensed matter physics ,Scattering ,media_common.quotation_subject ,FOS: Physical sciences ,Frustration ,02 engineering and technology ,021001 nanoscience & nanotechnology ,7. Clean energy ,01 natural sciences ,Heat capacity ,Magnetic susceptibility ,Inelastic neutron scattering ,3. Good health ,Magnetic field ,Condensed Matter - Strongly Correlated Electrons ,0103 physical sciences ,Antiferromagnetism ,Condensed Matter::Strongly Correlated Electrons ,010306 general physics ,0210 nano-technology ,Excitation ,media_common - Abstract
Piperazinium Hexachlorodicuprate (PHCC) is shown to be a frustrated quasi-two-dimensional quantum Heisenberg antiferromagnet with a gapped spectrum. Zero-field inelastic neutron scattering and susceptibility and specific heat measurements as a function of applied magnetic field are presented. At T = 1.5 K, the magnetic excitation spectrum is dominated by a single propagating mode with a gap, Delta = 1 meV, and bandwidth of approximately 1.8 meV in the (h0l) plane. The mode has no dispersion along the b* direction indicating that neighboring a-c planes of the triclinic structure are magnetically decoupled. The heat capacity shows a reduction of the gap as a function of applied magnetic field in agreement with a singlet-triplet excitation spectrum. A field-induced ordered phase is observed in heat capacity and magnetic susceptibility measurements for magnetic fields greater than H_c1 approximately equal to 7.5 Tesla. Analysis of the neutron scattering data reveals the important exchange interactions and indicates that some of these are highly frustrated., Comment: 13 pages with 14 figures, 7 pages of text, 6 pages of figures. Submitted to Phys. Rev. B 4/7/2001. email comments to dhr@pha.jhu.edu or mstone@pha.jhu.edu
253. The B Cell Receptor Dictates its Local Lipid Environment
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Sarah L. Veatch and Matthew B. Stone
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0303 health sciences ,B-cell receptor ,Peripheral membrane protein ,breakpoint cluster region ,Biophysics ,Biology ,Cell biology ,03 medical and health sciences ,0302 clinical medicine ,medicine.anatomical_structure ,Antigen ,medicine ,lipids (amino acids, peptides, and proteins) ,sense organs ,Signal transduction ,Receptor ,skin and connective tissue diseases ,Lipid raft ,030217 neurology & neurosurgery ,B cell ,030304 developmental biology - Abstract
The B cell receptor (BCR) is responsible for sensing and responding to intact antigen during the immune response and is hypothesized to nucleate a unique composition of lipids surrounding receptor clusters during antigen binding and signaling. This unique lipid composition, sometimes referred to as a “lipid raft,” is predicted to be enriched in glycosphingolipids and cholesterol. An altered lipid composition surrounding the BCR could influence the partitioning and activity of regulatory proteins and lipids, acting as a mechanism for the B cell to regulate signal transduction following stimulus by antigen. However, without direct observations of this phenomenon, theories surrounding lipid compositional heterogeneity in B cells remain controversial. In this work, we utilize two-color super-resolution localization microscopy (STORM and PALM) to directly observe the lipid composition proximal to B cell receptors, using the photoactivatable fluorescent protein mEos3.2 anchored to the plasma membrane through posttranslational lipid modifications. These probes mimic important regulatory proteins involved in BCR signaling by their membrane anchor but lack the protein interaction domains or biological activity found in the native protein. By analyzing the co-distributions of the B cell receptor and lipid probes using correlation functions, we find that the membrane surrounding B cell receptor clusters is depleted of probes bearing unsaturated and branched geranylgeranyl modifications and is enriched in probes bearing saturated palmitoyl modifications. Quantification of lipid probe distributions reveals that B cell compositional heterogeneity influences the partitioning of these lipid modifications with order 1kBT of effective potential, as expected from predications of composition fluctuations in critical systems. These findings provide definitive evidence of membrane compositional heterogeneity in an important biological signaling system. Our results suggest that compositional fluctuations contribute to cellular responses by influencing the spatial distribution of specific components in the plasma membrane.
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254. Quantifying the Effect of BCR Clustering on Plasma Membrane Organization
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Sarah L. Veatch and Matthew B. Stone
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Plasma membrane organization ,hemic and lymphatic diseases ,Membrane lipids ,B-cell receptor ,Immunoreceptor tyrosine-based activation motif ,breakpoint cluster region ,Biophysics ,Phosphorylation ,Biology ,BCR Signaling Pathway ,Intracellular ,Cell biology - Abstract
The B cell antigen receptor (BCR) is an integral part of the adaptive immune system that communicates binding of antigen in the extracellular environment through the plasma membrane. Antigen binding to the BCR results in phosphorylation of intracellular tyrosine activating motifs (ITAMs), which subsequently bind to and activate numerous proteins involved in BCR regulation. Interestingly, many of the proteins regulating the early stages of the BCR signaling pathway are linked to the inner leaflet by saturated lipid anchors which tend to be associated with liquid-ordered membrane phase in model membranes. Also, the BCR becomes transiently detergent resistant following antigen-induced BCR clustering, suggesting that BCR clusters become coupled to membrane order following stimulation. In this work, we aim to characterize how BCR clustering could reorganize plasma membrane lipids by quantifying co-localization of BCR with fluorescent markers of liquid-ordered and liquid-disordered phases. We utilize two-color super-resolution fluorescence localization microscopy (STORM and PALM) in live and chemically fixed CH27 B cells to simultaneously image BCR and membrane anchored proteins, and we quantify their co-clustering using correlation functions. Our results from chemically fixed cells show that proteins anchored to the plasma membrane inner leaflet through saturated acyl-chain lipid modifications exhibit increased co-localization with BCR upon antigen stimulation, whereas those without lipid modifications or those anchored through branched acyl-chain modifications are not significantly co-localized with BCR before or after stimulation. These results are contributing to our long term goal of elucidating the role of lipid mediated interactions in the regulation of BCR signaling.
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255. Direct prediction of inelastic neutron scattering spectra from the crystal structure
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Yongqiang Cheng, Geoffrey Wu, Daniel M Pajerowski, Matthew B Stone, Andrei T Savici, Mingda Li, and Anibal J Ramirez-Cuesta
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inelastic neutron scattering ,autoencoder ,symmetry-aware neural network ,structure-property relationship ,Computer engineering. Computer hardware ,TK7885-7895 ,Electronic computers. Computer science ,QA75.5-76.95 - Abstract
Inelastic neutron scattering (INS) is a powerful technique to study vibrational dynamics of materials with several unique advantages. However, analysis and interpretation of INS spectra often require advanced modeling that needs specialized computing resources and relevant expertise. This difficulty is compounded by the limited experimental resources available to perform INS measurements. In this work, we develop a machine-learning based predictive framework which is capable of directly predicting both one-dimensional INS spectra and two-dimensional INS spectra with additional momentum resolution. By integrating symmetry-aware neural networks with autoencoders, and using a large scale synthetic INS database, high-dimensional spectral data are compressed into a latent-space representation, and a high-quality spectra prediction is achieved by using only atomic coordinates as input. Our work offers an efficient approach to predict complex multi-dimensional neutron spectra directly from simple input; it allows for improved efficiency in using the limited INS measurement resources, and sheds light on building structure-property relationships in a variety of on-the-fly experimental data analysis scenarios.
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- 2023
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256. Protein sorting by lipid phase-like domains supports emergent signaling function in B lymphocyte plasma membranes
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Matthew B Stone, Sarah A Shelby, Marcos F Núñez, Kathleen Wisser, and Sarah L Veatch
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super-resolution microscopy ,lipid raft ,membrane phase seperation ,Medicine ,Science ,Biology (General) ,QH301-705.5 - Abstract
Diverse cellular signaling events, including B cell receptor (BCR) activation, are hypothesized to be facilitated by domains enriched in specific plasma membrane lipids and proteins that resemble liquid-ordered phase-separated domains in model membranes. This concept remains controversial and lacks direct experimental support in intact cells. Here, we visualize ordered and disordered domains in mouse B lymphoma cell membranes using super-resolution fluorescence localization microscopy, demonstrate that clustered BCR resides within ordered phase-like domains capable of sorting key regulators of BCR activation, and present a minimal, predictive model where clustering receptors leads to their collective activation by stabilizing an extended ordered domain. These results provide evidence for the role of membrane domains in BCR signaling and a plausible mechanism of BCR activation via receptor clustering that could be generalized to other signaling pathways. Overall, these studies demonstrate that lipid mediated forces can bias biochemical networks in ways that broadly impact signal transduction.
- Published
- 2017
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