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11 results for “Plasma Depletions”
Unveiling the autoreactome: Proteome-wide immunological fingerprints reveal the promise of plasma cell depleting therapy
<p>The prevalence and burden of autoimmune and autoantibody mediated disease continues to rise, yet the etiologies of many of these diseases remain unclear. Despite numerous new targeted immunomodulatory therapies, comprehensive approaches to apply and evaluate the effects of these treatments longitudinally are lacking. Here, we leverage advances in PhIPseq methodology to explore the modulation, or lack thereof, for autoreactive antibodies proteome-wide in both health and disease. We demonstrate that each individual, regardless of disease state, possesses a distinct set of autoreactivities constituting a unique immunological fingerprint, or "autoreactome", that is remarkably stable over years. In addition to uncovering important new biology, the autoreactome can be used to better evaluate the relative effectiveness of various therapies in altering autoantibody repertoires. We find that therapies targeting B-Cell Maturation Antigen (BCMA) profoundly alter an individual's autoreactome, while anti-CD19 and CD-20 therapies have minimal effects, strongly suggesting a rationale for BCMA or other plasma cell targeted therapies in autoantibody mediated diseases.</p>
Unveiling the autoreactome: Proteome-wide immunological fingerprints reveal the promise of plasma cell depleting therapy
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Properties of whistler waves' ducting in plasmas with systems of small-scale density depletions. Simulation results.
<p><strong>Properties of whistler waves' ducting in plasmas with systems of small-scale density depletions. </strong><strong>Simulation results.</strong></p> <p>The results of numerical FDTD simulations for the paper entitled "Properties of Whistler Waves’ Ducting in Plasmas With Systems of Small-scale Density Depletions" by Zudin I.Yu. et al.</p> <p>All files stored here are vectors or matrices coefficients presented in the text format and space symbol separated. "loadtxt" function from "numpy" library can be used for the data loading by a Python user. Each folder corresponds to a figure with the same number. The data stored in "data.zip" archive сontaining the following folders.</p> <p><strong>Fig2 folder</strong></p> <p>All files are the solutions of the dispersion equations wrote in the paper. Each of file consist in two columns. First column is the density depletion width</p> <p>(in meters), and second column is wavenumber <span class="math-tex">\(p\)</span></p> <ul> <li>"even_0.dat", "even_1.dat" ... are the fist, the second etc. even modes of the plain depletion.</li> <li>"odd_0.dat", "odd_1.dat" ... are the fist, the second etc. odd modes of the plain depletion.</li> <li>"m=0_0.dat", "m=0_1.dat" ... are the fist, the second etc. brunches of the modes of the cylindrical depletion with azimuth number m=0.</li> <li>"m=+1_0.dat", "m=+1_1.dat" ... are the fist, second the etc. modes of the cylindrical depletion with azimuth number m=1.</li> <li> "m=-1_0.dat", "m=-1_1.dat" ... are the fist, second the etc. modes of the cylindrical depletion with azimuth number m=-1.</li> </ul> <p><strong>Fig3 folder</strong></p> <p>All files are the dependences of normalized localization scale <span class="math-tex">\(\delta / d\)</span> from <span class="math-tex">\(d\)</span>. Each of file consist in two columns. The first one is the density depletion width <span class="math-tex">\(d\)</span> (in meters), and the second column is <span class="math-tex">\(p\)</span>.The files is named in such a manner as in Figure2 folder.</p> <p><strong>Fig5 folder</strong></p> <p>"Ex.dat", "Ey.dat" and so on are the amplitudes of electric and magnetic field components presented in Figure #5 of the paper. "Ne.dat" is simulated density profile at z=60 km, as in above the file consists in two columns. The first is the</p> <p>coordinate and the second is the density. "xgrid.dat" and "zgrid.dat" are Cartesian coordinates of the grid's nodes used for field representation. So Ex(x[i],z[j])=Ex[j,i]</p> <ul> <li>units of plasma density is "m(-3)"</li> <li>units of electrical field components is "mkV/m"</li> <li>units of magnetic field components is "pT"</li> <li>units of Cartesian coordinates is "km"</li> </ul> <p>The grid used for the data presentation is less detailed than that used for actual simulation.</p> <p><strong>Fig6 folder</strong></p> <p>The same description as for Fig5 folder.</p> <p><strong>Fig7 folder</strong></p> <p>"subdecameter.Sz.dat", "subdecameter.Sx.dat", "subhectometer.Sz.dat", and "subhectometer.Sz.dat" are the Pointing vector projections calculated in the cases of subdecameter and subhectometer depletions. "xgrid.dat", "zgrid.dat" are the coordinates of the grid's nodes. "subdecameter.Ne.dat" and "subhectometer.Ne.dat" is is simulated density profiles of systems of subdecameter and subhectometer depletions. The files ogranized in such mannar as in Figure5 folder. The grid used for the data presentation is less detailed than that used for actual simulation.</p> <ul> <li>units of plasma density is "m(-3)"</li> <li>units of energy flux is "mkW/m(2)"</li> <li>units of Cartesian coordinates is "km"</li> </ul> <p><strong>Fig8 folder</strong></p> <p>"subdecameter.Sz.dat", "subdecameter.Sz.dat" are the Pointing vector projections calculated in the cases of subdecameter and subhectometer depletions. "subhectometer.Ex.dat", and "subhectometer.Ex.dat" are the amplitudes of the electric field component. "xgrid.dat", "zgrid.dat" are the coordinates of the grid's nodes. "subdecameter.Ne.dat" and "subhectometer.Ne.dat" is is simulated density profiles of systems of subdecameter and subhectometer depletions. The files organized in such manner as in Figure5 folder. The grid used for the data presentation is less detailed than that used for actual simulation.</p> <ul> <li>units of electrical field components is "mkV/m"</li> <li>units of plasma density is "m(-3)"</li> <li>units of energy flux is "mkW/m(-2)"</li> <li>units of Cartesian coordinates is "km"</li> </ul> <p><strong>Fig9 folder</strong></p> <p>"subhectometer.Ex.dat", "subhectometer.Ex.dat" etc. are the profiles along <span class="math-tex">\(x\)</span> of the components of the electric field and the plasma density. The files organized in such a manner. First column is coordinates values, the second one is the field component or density value.</p> <ul> <li>units of plasma density is "m(-3)"</li> <li>units of electrical field components is "mkV/m"</li> <li>units of Cartesian coordinates is "km"</li> </ul> <p><strong>Fig10 folder</strong></p> <p>"subhectometer.Ex.dat", "subhectometer.Ex.dat" are the 2d-spectrums of the <span class="math-tex">\(E_x\)</span> complex amplitude in the cases of subhectometer and subdecameter depletions. "kx_grid.dat" and "kz_grid.dat" are the Cartesian coordinates of the grid's nodes used for spectrums representation.</p> <ul> <li>units of electrical field components is "mkV/m km(2)"</li> <li>units of Cartesian coordinates is "km(-1)"</li> </ul> <p><strong>Fig11 folders</strong></p> <p>"subhectometer.Ex.dat", "subhectometer.Ex.dat", and "smoothed.Ex.dat" are the 1d spectrums presented on the Figure #11 the cases of subhectometer, subdecameter and smoothed depletions.</p> <ul> <li>units of electrical field components is "mkV/m km"</li> <li>units of Cartesian coordinates is "km(-1)"</li> </ul> <p><strong>Fig12 folders</strong></p> <p>"subhectometer.Ex.dat", "subhectometer.Ex.dat", and "smoothed.Ex.dat" are the 1d spectrums presented on the Figure #12 the cases of subhectometer, subdecameter and smoothed depletions.</p> <ul> <li>units of electrical field components is "mkV/m km"</li> <li>units of Cartesian coordinates is "km(-1)"</li> </ul> <p> </p>
Depletion-assisted multiplexing cell-free RNA sequencing reveals distinct human and microbial signatures in plasma versus extracellular vesicle
GEO Series GSE216561. Homo sapiens. 113 samples. Type: Expression profiling by high throughput sequencing.
EV-sorting small RNA in normal human plasma-EV compared with EV-depleted plasma
GEO Series GSE278414. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Interaction between nighttime MSTID and mid-latitude field-aligned plasma depletion over the transition region of geomagnetic low-mid latitude: First results from Hanle, India
<p>630.0 nm airglow emission data from Hanle all-sky imager</p> <p>Hnale GPS TEC</p> <p>New Delhi Ionograms</p> <p>GIRI Radar Data</p>
Evidence for the in-situ generation of plasma depletion structures over the geomagnetic low-mid latitude transition region
<p>Allsky airglow imager data (630.0 nm emission line) from Hanle, Leh Ladakh, India.</p> <p>New Delhi Ionosonde data</p> <p>Global ROTI data</p>
Effect of Sulfur Amino Acid Depletion and Acetaminophen on Plasma Glutatione
ClinicalTrials.gov study NCT00228644. IPD Sharing: Not stated. Countries: 1. Publications: 0.
HIV-1 infection is associated with depletion of germinal center B cells and a decrease in IgA+ plasma cells in the GI tract
GEO Series GSE272807. Homo sapiens. 44 samples. Type: Expression profiling by high throughput sequencing.
A unique case of complex interaction between MSTIDs and mid-latitude field-aligned plasma depletions over geomagnetic low-mid latitude transition region
<p>630.0 nm airglow emission data from Hanle all-sky imager</p> <p>New Delhi Ionograms</p> <p>GIRI Radar Data</p>
Plasma fatty acids depletion: a metabolic signature related to colon cancer
GEO Series GSE267846. Homo sapiens. 107 samples. Type: Expression profiling by array.
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