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Flores, W.

Publications and source records attributed to Flores, W..

2 recordsLinked to original sources

Surface-immobilized fibronectin conformation drives synovial fluid adsorption and film formation

The articular cartilage extracellular matrix (ECM) is a complex network of biomolecules that includes fibronectin (FN). FN acts as an extracellular glue, controlling the assembly of other macromolecular constituents to the ECM. However, how FN participates in the binding and retention of synovial fluid components, the natural lubricant of articulated joints, to form a wear-protecting and lubricating film has not been established. This study reports on the role of FN and its molecular conformation in mediating macromolecular assembly of synovial fluid ad-layers. FN films as precursor films on functionalized surfaces, a model of FNs articular cartilage surface, adsorbed and retained different amounts of synovial fluid (SF) depending on FN conformation. FN conformational changes were induced by depositing FN from bulk solution at pH 7 (extended state) or at pH 4 (unfolded state) on self-assembled monolayers on gold-coated quartz crystals, followed by adsorption of diluted SF (25%) onto FN precursor films. Mass density, thin film compliance, surface morphologies, and the secondary and tertiary structures of adsorbed FN films reveal pH-induced differences. FN films deposited at pH 4 were thicker, more rigid, showed a more homogeneous morphology, and had altered -helix and {beta}-sheet content, compared to FN films deposited at pH 7. FN precursor films deposited at pH 7 adsorbed and retained more synovial fluid than those at pH 4, revealing the importance of FN conformation at the articular cartilage surface to bind and maintain a thin layer of synovial fluid constituents. This knowledge will enable a better understanding of the molecular interactions and synergies between the articular cartilage ECM components and SF. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=198 SRC="FIGDIR/small/650860v2_ufig1.gif" ALT="Figure 1"> View larger version (75K): org.highwire.dtl.DTLVardef@871413org.highwire.dtl.DTLVardef@3712a5org.highwire.dtl.DTLVardef@1a92b78org.highwire.dtl.DTLVardef@164e79f_HPS_FORMAT_FIGEXP M_FIG C_FIG

biophysics↗

pyQCM-BraTaDio: A tool for visualization, data mining, and modeling of Quartz crystal microbalance with dissipation data

Here, we present a Python based software that allows for the rapid visualization, data mining, and basic model applications of quartz crystal microbalance with dissipation data. Our implementation begins with a Tkinter GUI to prompt the user for all required information, such as file name/location, selection of baseline time, and overtones for visualization (with customization capabilities). These inputs are then fed to a workflow that will use the baseline time to scrub and temporally shift data using the Pandas and Numpy libraries and carry out the plot options for visualization. The last stage consists of an interactive plot, that presents the data and allows the user to select ranges in MatPlotLib-generated panels, followed by application of data models, including Sauerbrey, thin films in liquid, among others, that are carried out with NumPy and SciPy. The implementation of this software allows for simple and expedited data analysis, in lieu of time consuming and labor-intensive spreadsheet analysis. Metadata O_TBL View this table: org.highwire.dtl.DTLVardef@1da584dorg.highwire.dtl.DTLVardef@1db3baborg.highwire.dtl.DTLVardef@2a90ecorg.highwire.dtl.DTLVardef@90877aorg.highwire.dtl.DTLVardef@ae672f_HPS_FORMAT_FIGEXP M_TBL C_TBL

bioengineering↗