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. …”

NPB304 inhibited the MAPK pathway in MCF-7/paclitaxel cells. by Mei Mei (610571)

“…(C) The expression of p-ERK1/2 was decreased in a concentration-dependent manner when MCF-7/paclitaxel cells were treated with 10 to 50 µM U0126 for 24 h. …”

Effects of Two Commercial Electronic Prescribing Systems on Prescribing Error Rates in Hospital In-Patients: A Before and After Study by Johanna I. Westbrook (185737)

“…Prescribing error rates per admission and per 100 patient days; rates of serious errors (5-point severity scale, those ≥3 were categorised as serious) by hospital and study period; and rates and categories of postintervention “system-related” errors (where system functionality or design contributed to the error) were calculated. …”

HeLa (Cilengitide treatment or MBCD treatment) PREM membrane images supporting "The structure and spontaneous curvature of clathrin lattices at the plasma membrane" by Kem Sochacki (10280270)

“…<br><div><br></div><div>HeLa cells were treated with drugs to remove cholesterol (methyl-β-cyclodextrin) or block the binding of aVB5 integrin (Cilengitide). Removing cholesterol caused an increase in flat clathrin while blocking integrins caused a decrease in flat clathrin. …”

The airway intrinsic BX-C code determines the outcome of <i>hh</i> signaling. by Ryo Matsuda (685668)

“…Note that Salm expression in DT shows a posterior-to-anterior decrease. Upon overexpression of <i>Ubx</i> (G), <i>abdA</i> (H) or <i>AbdB</i> (I), DTa1 becomes negative for Kni and positive for Salm (asterisks). …”

8oxoG and AP lesions disrupt TRF2 recognition of telomeric DNA by Patricia L. Opresko (7493)

“…All rights reserved</p> Boxes indicate the GGG runs of the tandem telomeric repeats, and (X) marks the position of 8oxoG () or abasic () lesion(s) within the G runs (see ). Substrates (2.5 nM) were incubated alone (−) or together with decreasing concentrations of TRF2 (200, 100, 50 or 25 nM) for 20 min at 4°C in TRF2 binding buffer. …”