A Genetically Hard-Wired Metabolic Transcriptome in <em>Plasmodium falciparum</em> Fails to Mount Protective Responses to Lethal Antifolates by Karthikeyan Ganesan (269200)

“…No genes were reproducibly up-regulated by more than 2-fold until 24 h after initial drug exposure, even though clonal viability decreased by 50% within 6 h. We predicted and showed that while the parasites do not mount protective transcriptional responses to antifolates in real time, <em>P. falciparum</em> cells transfected with human DHFR gene, and adapted to long-term WR99210 exposure, adjusted the hard-wired transcriptome itself to thrive in the presence of the drug. …”

Tyrosine phosphatases such as SHP-2 act in a balance with Src-family kinases in stabilization of postsynaptic clusters of acetylcholine receptors-7 by Alain A Camilleri (76896)

“…(B) The number of AChR clusters per field was calculated using ImageJ software, using fixed intensity thresholds (150–255) and minimum area of 100 pixels occupied by a cluster. The number of AChR clusters per field (400× magnification) is shown as the percentage of clusters in agrin-treated cells (Agrin) (means ± SEM, = 50 from four similar experiments). …”

Mapping and Exome Sequencing Identifies a Mutation in the <i>IARS</i> Gene as the Cause of Hereditary Perinatal Weak Calf Syndrome by Takashi Hirano (414231)

“…In order to identify the perinatal weak calf syndrome locus in a 4.04-Mb region of BTA 8, we analysed a paternal half-sibling family with a BovineSNP50 BeadChip and microsatellites. …”

An examination of the dose rate effect in mice assuming that the carcinogenic effect of radiation is life shortening resulting from a tissue reaction by Nori Nakamura (785705)

“…To separate the dose rate effect from the effects of age under long-term exposure conditions, a thought experiment was designed which consisted of 8 repeated exposures to an acute 1 Gy dose at intervals of 50 days with an assumption that the effect is additive, and the results were compared with those observed in a chronic continuous exposure experiment (20 mGy per day for 400 days, for a total of 8 Gy: Tanaka et al. …”

Resveratrol Inhibits the Growth of Gastric Cancer by Inducing G1 Phase Arrest and Senescence in a Sirt1-Dependent Manner by Qing Yang (67856)

“…We found that resveratrol inhibited the proliferation of gastric cancer cells in a dose-dependent manner. At the concentration of 25 and 50 µM, resveratrol inhibited the cell viability and diminished the clonogenic potential of gastric cancer cells. …”

Effects of ZooBioR2 product as feed supplement in laying hens on the morphofunctional state of intestinal mucosa by A. Bondar (3239256)

“…The decrease of crypts depth is an indicator of a higher rate of turn-over of epithelial tissue. …”

Hyperacetylation of PS1 and BACE1 was suppressed by p300 specific inhibitor curcumin in N2a/APPswe cells. by Xi Lu (288663)

“…<p>(A) the p300 protein was markedly decreased in N2a/APPswe cells after being treated with curcumin; (B) curcumin dramatically reduced the enhancement effect of p300 in N2a/APPswe cells by immunocytochemistry, Magnification 400-fold, Scale bar: 50 µm; (C) curcumin treatment significantly suppressed the HATs activity in N2a/APPswe cells; (D) the Ac-H3 to PS1 and BACE1 promoter regions was much lower in N2a/APPswe cells after being treated with curcumin compared to DMSO (placebo) group; (E) the cellular Ac-H3 in N2a/APPswe cells was statistically significantly decreased after curcumin treatment; (F) N2a/APPswe cells after being treated with curcumin showed reduced binding of p300 to PS1 and BACE1 in N2a/APPswe cells. …”

Detoxification effects of long-chain versus a mixture of medium- and long-chain triglyceride-based fat emulsion on propafenone poisoning by Xusheng An (10461207)

“…Propafenone was continuously pumped (velocity=70 mg/kg per h) until the mean blood pressure dropped to 50% of basal level. Then, LL/ML fat emulsions or NS was intravenously infused instantly with a loading-dose (1.5 mL/kg) and a maintenance dose (0.25 mL/kg per min) for 1 h. …”

Image_3_Identification of cuproptosis-related subtypes, construction of a prognosis model, and tumor microenvironment landscape in gastric cancer.tif by Jinyan Wang (195882)

Image_1_Identification of cuproptosis-related subtypes, construction of a prognosis model, and tumor microenvironment landscape in gastric cancer.tif by Jinyan Wang (195882)

Image_2_Identification of cuproptosis-related subtypes, construction of a prognosis model, and tumor microenvironment landscape in gastric cancer.tif by Jinyan Wang (195882)

Fig 11 - by Sana Khalid (132742)

DataSheet4_Peripheral proteomic changes after electroconvulsive seizures in a rodent model of non-response to chronic fluoxetine.PDF by Rodolphe H. Lebeau (14031246)

“…A 50% decrease in emotionality score threshold before and after Flx, was used to separate Flx-responding mice (Flx-R, n = 18), or Flx non-responder mice (Flx-NR, n = 7). …”

A Top-Down Proteomics Platform Coupling Serial Size Exclusion Chromatography and Fourier Transform Ion Cyclotron Resonance Mass Spectrometry by Trisha Tucholski (3992264)

“…Notably, within a 5 <i>m</i>/<i>z</i> window, we obtained baseline isotopic resolution for 6 distinct large proteoforms (30–50 kDa). …”

DataSheet5_Peripheral proteomic changes after electroconvulsive seizures in a rodent model of non-response to chronic fluoxetine.pdf by Rodolphe H. Lebeau (14031246)

“…A 50% decrease in emotionality score threshold before and after Flx, was used to separate Flx-responding mice (Flx-R, n = 18), or Flx non-responder mice (Flx-NR, n = 7). …”

DataSheet3_Peripheral proteomic changes after electroconvulsive seizures in a rodent model of non-response to chronic fluoxetine.PDF by Rodolphe H. Lebeau (14031246)

“…A 50% decrease in emotionality score threshold before and after Flx, was used to separate Flx-responding mice (Flx-R, n = 18), or Flx non-responder mice (Flx-NR, n = 7). …”

The prevalence of cardiovascular autonomic neuropathy and its influence on post induction hemodynamic variables in patients with and without diabetes; A prospective cohort study by Jorinde A. W. Polderman (6009083)

“…Primary outcomes were the prevalence of CAN and the relation between CAN and severe post-induction hypotension, defined as mean arterial pressure (MAP) < 50 mmHg or ≥ 50% decrease from baseline. Secondary outcomes were the relation between CAN, intraoperative hypotension, MAP < 65 mmHg for more than 13 minutes, and the use of vasopressor therapy.…”

DataSheet2_Peripheral proteomic changes after electroconvulsive seizures in a rodent model of non-response to chronic fluoxetine.PDF by Rodolphe H. Lebeau (14031246)

“…A 50% decrease in emotionality score threshold before and after Flx, was used to separate Flx-responding mice (Flx-R, n = 18), or Flx non-responder mice (Flx-NR, n = 7). …”

Table2_Effectiveness and Safety of Iguratimod Monotherapy or Combined With Methotrexate in Treating Rheumatoid Arthritis: A Systematic Review and Meta-Analysis.DOCX by Dan Ouyang (554436)

“…Pooled results demonstrated as follows: 1) Compared with methotrexate (MTX) alone, IGU alone was superior in improving ACR20 and DAS28-ESR, while having no significant difference in ACR50 and ACR70 [ACR20: (RR 1.15, 95% CI 1.05–1.27, p = 0.004); ACR50: (RR 0.97, 95% CI 0.66–1.44, p = 0.88); ACR70: (RR 0.92, 95% CI 0.45–1.90, p = 0.83); DAS28-ESR: mean difference (MD) −0.15, 95% CI −0.27 to −0.03, p = 0.01]. 2) Compared with MTX alone, IGU + MTX was more effective in improving ACR20, ACR50, ACR70, and DAS28-ESR. …”

Metformin requires transcription factor SKN-1 to increase median lifespan, via a mechanism that acts in both ASI neurons and the intestine. by Brian Onken (86790)

“…Pooled data for <i>skn-1(zu135)</i> mutants expressing <i>skn-1::gfp</i> only in the ASI neurons show a median lifespan decrease from 16 days for animals on 0 mM metformin to 13 days for animals on 50 mM metformin, with a significantly left-shifted survival curve (<i>P</i><0.0001 by the Log-rank test, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0008758#pone.0008758.s005" target="_blank">Table S1G</a>). …”