Karyopherin alphas are widely expression in OLP and important regulators of OL differentiation. by Benjamin M. Laitman (825245)

“…Maturation was assessed by quantifying %O4/DAPI <b>(H)</b> and %MBP/DAPI <b>(I)</b> expressing cells. Data presented are mean ± S.E.M. and representative of 3 <b>(A,B,C,E,F)</b> or 5 <b>(H,I)</b> independent cultures. …”

Upregulation of Cx30 increased passive astrocytic currents and the size of the astroglial network. by Eléonore Hardy (15208385)

“…(<b>d)</b> Images of gap junction–mediated biocytin coupling in CA1 from brain slices following injection of AAV-GFAP-GFP (black) or AAV-GFAP-Cx30 (pink). Scale bar: 50 μm. Gap junction coupling is significantly enhanced, as quantified by counting the number of coupled cells after 10 min of biocytin injection in a single astrocyte through a patch pipette after AAV-GFAP-Cx30 (<i>n =</i> 9 slices from 6 mice) transduction compared to AAV-GFAP-GFP transduction (<i>n</i> = 11 slices from 5 mice). …”

Characterization of <i>Mertk</i>^{<i>−/−</i>}<i>Cx3cr1</i>^<i>GFP/+</i><i>Ccr2</i>^<i>RFP/+</i> mice. by Ryo Terauchi (10687481)

Discovery of <i>N</i>‑(1,3,4-Thiadiazol-2-yl)amide Derivatives as Uncompetitive Inhibitors of 6‑Phosphogluconate Dehydrogenase by Rong Zhang (44942)

“…Moreover, <b>19n</b> treatment could result in a decrease of NADPH and Ru-5-P production as well as DNA synthesis in A549 cells. …”

Accurate Modeling of Water Clusters with Density-Functional Theory Using Atom-Centered Potentials by Jake D. Holmes (4400803)

“…However, the ability of the BHandHLYP/ACP approach to predict accurate binding energies deteriorates as the size of the basis sets decreases. Nevertheless, ACPs improve predicted binding energies by as much as a factor of 50 across the range of the basis sets studied. …”

Accurate Modeling of Water Clusters with Density-Functional Theory Using Atom-Centered Potentials by Jake D. Holmes (4400803)

“…However, the ability of the BHandHLYP/ACP approach to predict accurate binding energies deteriorates as the size of the basis sets decreases. Nevertheless, ACPs improve predicted binding energies by as much as a factor of 50 across the range of the basis sets studied. …”

Accurate Modeling of Water Clusters with Density-Functional Theory Using Atom-Centered Potentials by Jake D. Holmes (4400803)

“…However, the ability of the BHandHLYP/ACP approach to predict accurate binding energies deteriorates as the size of the basis sets decreases. Nevertheless, ACPs improve predicted binding energies by as much as a factor of 50 across the range of the basis sets studied. …”

Photosynthesis and respiration rates of (A) <i>Acropora</i> sp. and (B) <i>P. verrucosa</i> for the four groups. by Malte Ostendarp (13217973)

IL-27-induced phosphorylation of STAT1, STAT3, and STAT5 <i>in vitro</i> is reduced in chronic Chagas disease cardiomyopathy. by María Ailén Natale (6843422)

Chronic OCA treatment suppresses NASH-related cardiac dysfunction. by Szu-Yu Liu (14241673)

Proliferation. by Tobias Schmid (131190)

AUC raw data. by Jack B. Maguire (5123183)

Design, Synthesis, and Biological Evaluation of New PDE4 Inhibitors for the Treatment of Pressure Ulcers by Xudong Qian (13182676)

“…In a rat PU model, <b>G1</b> exhibited the capability to reduce the expression levels of inflammatory markers in skin tissue, diminish the thickness of the epidermal layer, decrease the number of dermal inflammatory cells, and significantly enhance the quantity of fibroblasts, which effectively expedited the wound healing process. …”

Defects of neural tube and motoneuron formation in <i>dlx5a/6a</i> zebrafish morphants. by Nicolas Narboux-Neme (6482588)

“…The <i>dlx5a/6a</i> morphants show a reduced neural tube (A’-D’) associated with a defect of NCC migration (B’, black arrowhead), aberrant accumulation of <i>foxd3</i> and <i>ncad</i> transcripts in somites (B, D) and decrease of <i>msx1b</i> in the neural tube (F, black arrowhead). …”

Grade system. by Zhuoyang Xia (21354186)

“…The DerSimonian–Laird random-effects model and the Cochrane Collaboration’s risk of Bias Tool were used for analysis and risk of bias assessment.</p><p>Results</p><p>A total of 12 RCTs involving 18,086 patients were finally included. …”

Literature search. by Zhuoyang Xia (21354186)

“…The DerSimonian–Laird random-effects model and the Cochrane Collaboration’s risk of Bias Tool were used for analysis and risk of bias assessment.</p><p>Results</p><p>A total of 12 RCTs involving 18,086 patients were finally included. …”

Study characteristics. by Zhuoyang Xia (21354186)

“…The DerSimonian–Laird random-effects model and the Cochrane Collaboration’s risk of Bias Tool were used for analysis and risk of bias assessment.</p><p>Results</p><p>A total of 12 RCTs involving 18,086 patients were finally included. …”

Flowchart of literature retrieval. by Zhuoyang Xia (21354186)

“…The DerSimonian–Laird random-effects model and the Cochrane Collaboration’s risk of Bias Tool were used for analysis and risk of bias assessment.</p><p>Results</p><p>A total of 12 RCTs involving 18,086 patients were finally included. …”

Data extraction. by Zhuoyang Xia (21354186)

“…The DerSimonian–Laird random-effects model and the Cochrane Collaboration’s risk of Bias Tool were used for analysis and risk of bias assessment.</p><p>Results</p><p>A total of 12 RCTs involving 18,086 patients were finally included. …”

Cochrane Collaboration’s risk of bias tool. by Zhuoyang Xia (21354186)

“…The DerSimonian–Laird random-effects model and the Cochrane Collaboration’s risk of Bias Tool were used for analysis and risk of bias assessment.</p><p>Results</p><p>A total of 12 RCTs involving 18,086 patients were finally included. …”