Knockdown of NRP1 increases while knockdown of NRP2 decreases formation of Schwann cell clusters. by Kasper C. D. Roet (444802)

“…(D) The total area of SC clusters per well after knockdown of NRP1 or NRP2. There was a significant increase in total area of SC clusters after knockdown of NRP1 (137%) while in contrast, there was a strong decrease of total area of SC clusters after knockdown of NRP2 (54%). …”

Overexpression of U1 snRNA induces decrease of U1 spliceosome function associated with Alzheimer’s disease by Zhi Cheng (729515)

“…These findings not only helped researchers better understand the functions of U1 snRNA, but also paved the way to reveal the mechanisms of AD from a different point of view and may find a new therapeutic target for the disease.…”

Normal TLR4 and MD2 expression and decreased IL10 secretion and A20 expression by <i>cpdm</i> BMDC. by Zhe Wang (41178)

Lack of SPI-14 decreased <i>S</i>. Typhimurium invasion of Caco-2 epithelial cells. by Lingyan Jiang (4063771)

SKO mice demonstrate increased cholesterol efflux in whole skin, and decreased cholesterol levels in plasma. by Sabrina N. Dumas (5474456)

“…(B) ABCA1 is asymmetrically localized around hair follicles (C) Total, HDL and LDL cholesterol fractions are decreased in plasma of SKO mice on a high fat diet.…”

Lack of SPI-14 decreased <i>S</i>. Typhimurium virulence in mice by affecting intestinal invasion. by Lingyan Jiang (4063771)

Decrease in CD15⁺ and CD133⁺ expression in Daoy cells under hypoxia condition, upon miR-34a overexpression. by Pasqualino de Antonellis (206257)

JC-1 monomer increased with the stimulation of sFlt-1 and decreased after administration of Z-LEHD-FMK in HUVECs. by Yaling Zhai (9239458)

Downregulation of DOM decreases the abundance of PER and TIM. by Zhenxing Liu (399809)

“…<p><b>A.</b> Quantitative RT-PCR showing the expression of <i>clk</i>, <i>per</i> and <i>tim</i>. …”

Inhibition of Timeless decreases A549 cell proliferation. by Ping Tian (697506)

Data_Sheet_1_Coenzyme A-Dependent Tricarboxylic Acid Cycle Enzymes Are Decreased in Alzheimer’s Disease Consistent With Cerebral Pantothenate Deficiency.PDF by Crystal Sang (12856397)

Table_1_Maternal oral probiotic use is associated with decreased breastmilk inflammatory markers, infant fecal microbiome variation, and altered recognition memory responses in infants—a pilot observational study.XLSX by Sara Gonia (14132166)

“…Specifically, infants who were exposed to postnatal maternal probiotics (between the 1- and 6-month study visits) via breastfeeding/breastmilk, had larger differential responses between familiar and novel visual stimuli with respect to the late slow wave component of the EEG, which may indicate greater memory updating potential. …”

A comparison of the structure of the protein-protein interaction network of <i>S. cerevisiae</i> when 15% of the vertices have been removed according to both simultaneous and sequential attack, in decreasing order of degree, eigenvector, closeness and betweenness centrality measures. by Swami Iyer (397227)

Phase 2 pre- and post-test Means (<i>M</i>), Standard Deviations (<i>SD</i>), between group effect sizes (<i>d</i>), and RMANOVA results (<i>F</i>-value, <i>p</i>-value) for interv... by Wendy C. Crone (2262169)

Activator A10 increases and inhibitor G8 decreases the rate of PMA-induced PKCε-EGFP translocation in HeLa cells. by Milla Summanen (325769)

Subjects:

Table S1 - Inhibition of Lipoprotein-Associated Phospholipase A2 Ameliorates Inflammation and Decreases Atherosclerotic Plaque Formation in ApoE-Deficient Mice by Wen-yi Wang (207256)

Subjects:

Benzo[<i>cd</i>]azulene 1a decreases cancer cell migration without affecting cell viability or Pim protein levels. by Alexandros Kiriazis (279872)

Subjects:

Explanatory variables as a function of mean SST (between -1°C and 30°C) and SST variability. by Grégory Beaugrand (150537)

Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 12 covariates chosen using subjective feature selection. by Dennis Ochola (11626912)

Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 17 covariates selected after recursive feature selection. by Dennis Ochola (11626912)