Comprehensive analysis of Ras-induced changes in gene transcription and H3K27me3 content in the gene body. by Masaki Hosogane (451973)

“…Dashed lines represent “t-half,” the time corresponding to half of the difference between the values for Ras0 cells and cells expressing H-Ras(G12V) for 12 days. (<b>D</b>) The t-half values for expression and mean H3K27me3 level in the gene body for the purple and the gray clusters in (B).…”

Temporal Trend in Young-Onset Type 2 Diabetes - the Macrovascular and Mortality Risk: Study of UK Primary Care Electronic Medical Records by Digsu N. Koye (8881108)

“…The incidence rates of ASCVD and ACM declined in people aged ≥50 years, but did not decrease in people <50 years. …”

Dfos increases Rho1-GTP, the formin Diaphanous and actin at the cortex through Cher and TM4SF. by Vera Belyaeva (11914218)

“…SD: 1.9, 0.9, 1.0, 0.9, 1.0 in N; 0.7, 0.5, 0.5, 0.5, 0.4 in P. Macrophages are labeled using either <i>srpHemo-Gal4</i> driving <i>UAS-mCherry</i>::<i>nls</i> <b>(I-I’)</b>, <i>srpHemo-H2A</i>::<i>3xmCherry</i> <b>(K-K’)</b>. …”

Data_Sheet_1_Hybrid Gibbsite Nanoplatelet/Cellulose Nanocrystal Multilayered Coatings for Oxygen Barrier Improvement.PDF by Maud Chemin (5931452)

“…The measurement of the oxygen transmission rate (OTR) at 23°C and 50% RH showed that the oxygen barrier properties of the bare substrates could be significantly improved (e.g., 75% decrease of the OTR) after the deposition of such thin (<100 nm) multilayered hybrid films. …”

Sulfur supply effects on production and mineral nutrition of Tanzania guinea grass under barium levels in nutrient solution by Arnon Afonso de Souza Cardoso (9980536)

“…The combinations with high S and Ba levels resulted in a decrease of 1.7-fold in leaf area compared to combinations with high S without Ba. …”

TNFα stabilizes myocardin mRNA through MEK/MAPK and NF-κB pathways. by Pavneet Singh (657177)

“…<p>(<b>A</b>) VSMCs were serum-starved for 24 h and transcription was blocked using α-amanitin (50 µM). …”

Data_Sheet_4_Personalized surgical planning for coronary bypass graft configurations using patient-specific computational modeling to avoid flow competition in arterial grafts.XLSX by Krish Chaudhuri (13866956)

“…The use of the computational models led to a significant decrease in the selection of unsatisfactory grafting configurations when surgeons employed “anaortic” (21.25% (17/80) vs. 1.25% (1/80), P < 0.001) but not “aortic” techniques (5% (4/80) vs. 0% (0/80), P = 0.64). …”

Data_Sheet_3_Personalized surgical planning for coronary bypass graft configurations using patient-specific computational modeling to avoid flow competition in arterial grafts.XLSX by Krish Chaudhuri (13866956)

“…The use of the computational models led to a significant decrease in the selection of unsatisfactory grafting configurations when surgeons employed “anaortic” (21.25% (17/80) vs. 1.25% (1/80), P < 0.001) but not “aortic” techniques (5% (4/80) vs. 0% (0/80), P = 0.64). …”

Data_Sheet_1_Personalized surgical planning for coronary bypass graft configurations using patient-specific computational modeling to avoid flow competition in arterial grafts.XLSX by Krish Chaudhuri (13866956)

“…The use of the computational models led to a significant decrease in the selection of unsatisfactory grafting configurations when surgeons employed “anaortic” (21.25% (17/80) vs. 1.25% (1/80), P < 0.001) but not “aortic” techniques (5% (4/80) vs. 0% (0/80), P = 0.64). …”

Data_Sheet_1_Personalized surgical planning for coronary bypass graft configurations using patient-specific computational modeling to avoid flow competition in arterial grafts.XLSX by Krish Chaudhuri (13866956)

“…The use of the computational models led to a significant decrease in the selection of unsatisfactory grafting configurations when surgeons employed “anaortic” (21.25% (17/80) vs. 1.25% (1/80), P < 0.001) but not “aortic” techniques (5% (4/80) vs. 0% (0/80), P = 0.64). …”

Data_Sheet_3_Personalized surgical planning for coronary bypass graft configurations using patient-specific computational modeling to avoid flow competition in arterial grafts.XLSX by Krish Chaudhuri (13866956)

“…The use of the computational models led to a significant decrease in the selection of unsatisfactory grafting configurations when surgeons employed “anaortic” (21.25% (17/80) vs. 1.25% (1/80), P < 0.001) but not “aortic” techniques (5% (4/80) vs. 0% (0/80), P = 0.64). …”

Data_Sheet_2_Personalized surgical planning for coronary bypass graft configurations using patient-specific computational modeling to avoid flow competition in arterial grafts.XLSX by Krish Chaudhuri (13866956)

“…The use of the computational models led to a significant decrease in the selection of unsatisfactory grafting configurations when surgeons employed “anaortic” (21.25% (17/80) vs. 1.25% (1/80), P < 0.001) but not “aortic” techniques (5% (4/80) vs. 0% (0/80), P = 0.64). …”

Data_Sheet_2_Personalized surgical planning for coronary bypass graft configurations using patient-specific computational modeling to avoid flow competition in arterial grafts.XLSX by Krish Chaudhuri (13866956)

“…The use of the computational models led to a significant decrease in the selection of unsatisfactory grafting configurations when surgeons employed “anaortic” (21.25% (17/80) vs. 1.25% (1/80), P < 0.001) but not “aortic” techniques (5% (4/80) vs. 0% (0/80), P = 0.64). …”

Data_Sheet_4_Personalized surgical planning for coronary bypass graft configurations using patient-specific computational modeling to avoid flow competition in arterial grafts.XLSX by Krish Chaudhuri (13866956)

“…The use of the computational models led to a significant decrease in the selection of unsatisfactory grafting configurations when surgeons employed “anaortic” (21.25% (17/80) vs. 1.25% (1/80), P < 0.001) but not “aortic” techniques (5% (4/80) vs. 0% (0/80), P = 0.64). …”

Variable importance plots for predictor variables (described in main text) from random forest classification of accelerometry data collected from a trained golden eagle. by Maitreyi Sur (3921506)

“…Higher values of mean decrease in accuracy indicate that the variables are more important to the classification process.…”

Dataset for: The impact of exercise intensity on whole body and adipose tissue metabolism during energy restriction in sedentary overweight men and postmenopausal women by Jean-Philippe Walhin (3218595)

“…Insulinaemic responses to a standard glucose load decreased similarly at follow-up relative to baseline in VIG (∆ 8.6 ± 15.4 nmol.120min.l-1) and MOD (∆ 5.4 ± 8.5 nmol.120min.l-1; P<0.05). …”

Effective recovery time and synaptic integration time during scratching. by Rune W. Berg (54068)

“…<p>Peri-spike V_m distribution in quiescence (A) (n = 50) and during scratching (B) (n = 29). …”

BTK Expression Levels Control DNA Binding Activity and Transcription Factor Function of Ikaros. by Hong Ma (48973)

“…Each siRNA was used at a 50 nM concentration. BTK siRNA (but not Ku80 siRNA) resulted in depletion of BTK protein without a decrease in the amount of IK protein. …”

Collateral effects are pervasive and vary across parallel evolution experiments in <i>E</i>. <i>faecalis</i>. by Jeff Maltas (1598305)

“…Although the color scale ranges from a 4× decrease to a 4× increase in IC₅₀, it should be noted that both resistance to the selecting drug (diagonal blocks) and collateral effects can be significantly higher. …”

Persulfidation modulates the activity of <i>A</i>. <i>fumigatus</i> virulence–associated proteins and is important for its pathogenic potential. by Monica Sueiro-Olivares (5785451)

“…All data are depicted as mean ± SD and were analyzed using a 1-way ANOVA with Dunnett multiple comparisons. …”