Metabolomics and <i>In-Silico</i> Analysis Reveal Critical Energy Deregulations in Animal Models of Parkinson’s Disease by Pierre O. Poliquin (436342)

“…Model simulated and experimental results revealed a significant and sustained decrease in ATP after CCCP exposure, but not in the genetic mice model. …”

Trade-off between high SCF occupancy and fast SR exchange rate. by Ronny Straube (561331)

“…Right panel shows the corresponding time course for the assembly of Cul1.SR1 after adding 100nM SR1 to a steady-state mixture containing 300nM Cul1, 560nM SR2 and Cand1 as indicated by the dashed lines in the left panel. …”

Experimental setup and behavioral task. by Karl J. Hollensteiner (738190)

“…At a random time between 0-1000ms during the event window the auditory and/or visual stimulus appeared for 100ms either left or right from the center. …”

Ribosylation Rapidly Induces α-Synuclein to Form Highly Cytotoxic Molten Globules of Advanced Glycation End Products by Lan Chen (16760)

“…As incubation time increased, ribosylation of α-Syn resulted in a blue-shift (∼100 nm) in the fluorescence of ANS. …”

Tβ4 mRNA and protein expression during odontoblastic differentiation of HDPCs. by Sang-Im Lee (403297)

“…<p>Cells were cultured in OM containing 10 mM β-glycerophosphate, 50 µg/ml ascorbic acid, and 100 nM dexamethasone for 0, 1, 3, 7 or 14 days. …”

Dose response inhibition of IP6K1 by TNP in the presence of different concentrations of ATP and IP6. by Michael Wormald (4631122)

“…The reaction was run with 400μM IP6 and 60nM IP6K1 for 30 minutes at 37°C. (B) IC₅₀ values decreased slightly from 24±1.5μM to 9.5±1.5μM as IP6 concentrations were increased from 50μM to 400μM. …”

MOESM5 of The Study of Enhanced High-Intensity Focused Ultrasound Therapy by Sonodynamic N2O Microbubbles by Xiaowen Zhong (1465861)

“…The optical density of each well was measured at 450 nm with a Bio-Tek microplate reader. Cell viability of the control group was defined as 100%. …”

Table 1_Detrital zircon U-Pb geochronology of sediments from the Okinawa Trough: implications for sedimentary provenance.xlsx by Bao-Ju Yang (19543270)

“…The detrital zircon age distributions in the northern Okinawa Trough (N-OT) predominantly fall into 1,000−2,300 Ma and 100−600 Ma age groups. In contrast, in the middle Okinawa Trough (M-OT) and southern Okinawa Trough (S-OT), the detrital zircon age groups of 100−600 Ma and 600–1,000 Ma increase significantly, while the age groups of 1,000−2,300 Ma and >2,300 Ma decrease. …”

Table 2_Detrital zircon U-Pb geochronology of sediments from the Okinawa Trough: implications for sedimentary provenance.xlsx by Bao-Ju Yang (19543270)

“…The detrital zircon age distributions in the northern Okinawa Trough (N-OT) predominantly fall into 1,000−2,300 Ma and 100−600 Ma age groups. In contrast, in the middle Okinawa Trough (M-OT) and southern Okinawa Trough (S-OT), the detrital zircon age groups of 100−600 Ma and 600–1,000 Ma increase significantly, while the age groups of 1,000−2,300 Ma and >2,300 Ma decrease. …”

Characterization of MS5/DL1^ind cells lines. by Julien Calvo (118242)

“…<p>(A) Schematic representation of the TET/on lentiviral DL1 vector system. …”

Constraint on the eclogite age of the Sanbagawa metamorphic rocks in central Shikoku, Japan by Shogo Aoki (6440666)

“…The detrital igneous cores of the zircons show ages from ca. 2000 to 100 Ma, and the metamorphic rims show ca. 90 Ma. …”

Ripe Ora-pro-nobis (Pereskia aculeata miller) fruits express high contents of bioactive compounds and antioxidant capacity by Aline Priscilla Gomes da Silva (5221931)

“…The following attributes were evaluated: soluble solids (SS), titratable acidity (TA), SS/TA ratio, pH, and content of bioactive compounds, such as total chlorophylls, carotenoids, yellow flavonoids, total phenolic compounds, and antioxidant capacity. There was a decrease in the content of chlorophyll followed by an increase in the of total carotenoids and yellow flavonoids, due to the maturity stage. …”

Fig 3 - by Thomas E. Wilkop (722948)

“…Compounds in orange exhibited a significant increase; compounds in blue indicate a significant decrease, and compounds in black indicate no significant change upon endosidin-7 treatment (significant criteria <i>p</i> < 0.05 in multivariate analysis, with exceptions and details indicated in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0241627#pone.0241627.s005" target="_blank">S1 Table</a>). …”

Proteolysis of VWF strings at the surface of HUVEC by recombinant ADAMTS13 variants under flow. by Anton Letzer (8796422)

“…<p>(A) HUVEC were perfused at 5 dyne/cm² shear stress with 1 mM histamine and 100 μl of GPIbα-beads in HBRS buffer. …”

Table_4_CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes.docx by Omneya Attallah (770722)

“…It then performs a feature fusion step using discrete wavelet transform (DWT), a texture analysis method capable of reducing the dimension of fused features. …”

Data_Sheet_1_CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes.ZIP by Omneya Attallah (770722)

“…It then performs a feature fusion step using discrete wavelet transform (DWT), a texture analysis method capable of reducing the dimension of fused features. …”

Table_3_CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes.docx by Omneya Attallah (770722)

“…It then performs a feature fusion step using discrete wavelet transform (DWT), a texture analysis method capable of reducing the dimension of fused features. …”

Table_1_CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes.docx by Omneya Attallah (770722)

“…It then performs a feature fusion step using discrete wavelet transform (DWT), a texture analysis method capable of reducing the dimension of fused features. …”

Table_7_CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes.docx by Omneya Attallah (770722)

“…It then performs a feature fusion step using discrete wavelet transform (DWT), a texture analysis method capable of reducing the dimension of fused features. …”

Table_6_CoMB-Deep: Composite Deep Learning-Based Pipeline for Classifying Childhood Medulloblastoma and Its Classes.docx by Omneya Attallah (770722)

“…It then performs a feature fusion step using discrete wavelet transform (DWT), a texture analysis method capable of reducing the dimension of fused features. …”