DICER protein expression is significantly decreased in the absence of MOV10 and FMRP. by Monica C. Lannom (11772729)

The decrease in blood flow disrupts CV pruning. by Lin Wen (557398)

Predicting pattern diversity decreases as a function of and . by Selim Haj Ali (21222613)

“…<p>For 50 Erdős-Rényi graphs with 30 nodes and 70 edges, we split the results into two columns according to the two initial degenerate unstable eigenmodes  +  : on the left, (if ), and on the right, (if ). …”

Titanate Nanosheets/Cellulose Composite Showing Improved Crystallinity and Decreased Water Wettability by Gamma-Irradiation by Yaowaluk Tariwong (22630109)

Subjects:

LuxR G37V has decreased DNA-binding activity. by Chelsea A. Simpson (9579303)

Excision of HIF1α decreases viral reactivation from latency in infected splenocytes in vivo. by Darlah M. López-Rodríguez (8098544)

RAC1 inhibition results in a decrease in oxidative phosphorylation. by Shruthi Sriramkumar (12705564)

Repetitive stress induces a decrease in sound-evoked activity. by Ghattas Bisharat (20706928)

“…These mice exhibited a minimal change in noise-evoked PPy activity when comparing the first and second week of imaging (2-way ANOVA, F = 1.79, <i>p</i> = 0.11, post hoc baseline w1 50 dB: baseline w2 50 dB <i>p</i> = 1 Bonferroni corrected, nested ANOVA (mouse nested within session) F = 1.76, <i>p</i> = 0.12, mean ± SE). …”

Supplemental Figure 4: UAB30 decreased migration. from Preclinical Evaluation of UAB30 in Pediatric Renal and Hepatic Malignancies by Alicia M. Waters (9314636)

“…Both cell lines showed a significant decrease in the ability to migrate following UAB30. …”

ROS and superoxide decrease in the dormant form of mycobacteria. by Amar Yeware (7115063)

HFD decreases nephrocyte uptake of dextran and albumin. by Aleksandra Lubojemska (10746241)

50 WT 5′ and 3′ terminal nts of the S1 gene are sufficient to package a non-MRV gene into infectious virions. by Debarpan Dhar (724473)

STAT6-driven immunity decreases <i>N</i>. <i>brasiliensis</i> reproductive output and survival within host. by Annabel A. Ferguson (17616286)

TUDCA decreases ER stress in HOX neonatal rat lungs. by Kirkwood A. Pritchard Jr. (13449794)

“…(<b>C</b>) In IHC stain, P-IRE1α levels are decreased (40.8±3.5 A.U. <i>vs</i> 53.1±5.0 A.U., p<0.001, n = 6, 3 for each sex) in chronic hyperoxia exposed neonatal rat lungs by TUDCA. …”

The GluN2B-C456Y mutation decreases recombinant NMDAR currents and alters receptor properties. by Wangyong Shin (6793040)

“…<i>n</i> = 73 oocytes for WT (5.70 ± 0.61 μA) and 59 oocytes for C456Y (0.039 ± 0.004 μA), ***<i>P</i> < 0.001, Mann-Whitney. …”

The decrease or inhibition of Hsp90 induced REST degradation. by Raúl Orozco-Díaz (7067624)

“…(D) The level of REST dramatically reduced in differentiated SH-SY5Y cells treated with GA (1 μM) or PU-H71 (50 nM) at 24 h. (E) The REST level decreased by GA more than 50% and (F) PU-H71 more than 80%, respectively. …”

DART-ID decreases missing datapoints across runs. by Albert Tian Chen (6900215)

“…Only peptides seen in >50% of experiments are included. (<b>b</b>) Decrease in missing data across all runs after applying DART-ID, for SCoPE-MS and the two bulk sets from <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1007082#pcbi.1007082.g004" target="_blank">Fig 4</a> at 1% FDR. …”

Decreased GSH/GSSG redox balance in glaucoma monocytes. by Takeshi Yabana (8201211)

Bacterial co-abundance networks decreases in complexity with lower host genetic variation. by Michael Ørsted (5926028)

Scatter plot for the absolute decrease in CS rates (A) and the relative decrease in CS rates (B) from 2008 to 2016 among hospitals in Guangzhou grouped by their baseline CS rates. by Xiaoyan Xia (560153)

“…One circle represents one hospital, with blue (<i>n</i> = 20), green (<i>n</i> = 36), orange (<i>n</i> = 34), and purple (<i>n</i> = 22) representing baseline CS rates of <30%, 30%–39%, 40%–49%, and ≥50%, respectively. The absolute decrease = the CS rate at baseline − the CS rate in Stage 2; the relative decrease = (the CS rate at baseline − the CS rate in Stage 2) ÷ the CS rate at baseline. …”