Geographic distribution of random forest model predictions of Spotted and Eastern towhee species identity. by Ximena León Du’Mottuchi (21560805)

“…<b>(B)</b> The same results from <b>(A)</b> are plotted based on the percent of trees in the random forest classifier that supported the correct species identification; when less than 50% of trees supported the correct identification, the classifier made an incorrect species prediction. …”

The importance of the adaptive threshold. by Jorge F. Mejias (228294)

Data_Sheet_1_Hypoxia signaling in the equine small intestine: Expression and distribution of hypoxia inducible factors during experimental ischemia.PDF by Nicole Verhaar (8781686)

“…Additionally, mucosal HIF1α protein levels were determined by an Enzyme Linked Immunosorbent Assay (ELISA), and mRNA levels of HIF1α and its target genes by a two-step real-time Reverse Transcriptase Polymerase Chain Reaction. …”

Data_Sheet_1_A Comparative Analysis of Reactive Müller Glia Gene Expression After Light Damage and microRNA-Depleted Müller Glia—Focus on microRNAs.pdf by Seoyoung Kang (10033280)

“…Taken together, results show there is an overlap of gene regulatory events that occur in reactive MG after light damage (direct damage of neurons) and miRNA-depleted MG (Dicer-cKO), two very different paradigms. This suggests that MG miRNAs play an important role in a ubiquitous MG stress response and manipulating these miRNAs could be a first step to attenuate gliosis.…”

Autophagy core protein ATG5 is required for elongating spermatid development, sperm individualization and normal fertility in male mice by Qian Huang (127640)

“…In <i>Atg5^flox/flox; Stra8− iCre</i> mutant mice, testicular expression of the autophagosome marker LC3A/B-II was significantly reduced, and expression of autophagy receptor SQSTM1/p62 was significantly increased, indicating a decrease in testicular autophagy activity. …”

Data_Sheet_1_A Comparative Analysis of Reactive Müller Glia Gene Expression After Light Damage and microRNA-Depleted Müller Glia—Focus on microRNAs.pdf by Seoyoung Kang (10033280)

“…Taken together, results show there is an overlap of gene regulatory events that occur in reactive MG after light damage (direct damage of neurons) and miRNA-depleted MG (Dicer-cKO), two very different paradigms. This suggests that MG miRNAs play an important role in a ubiquitous MG stress response and manipulating these miRNAs could be a first step to attenuate gliosis.…”

Mechanistic analyses in kidney transplant recipients prospectively randomized to two steroid free regimen—Low dose Tacrolimus with Everolimus versus standard dose Tacrolimus with M... by Opas Traitanon (756970)

“…EVR levels were maintained at 3–8 ng/ml. TAC levels were 4.5±1.9 and 6.4±1.5 ng/ml in the TAC+EVR and TAC+MMF group respectively. …”

Mechanisms of Intestinal Serotonin Transporter (SERT) Upregulation by TGF-β1 Induced Non-Smad Pathways by Saad Nazir (2289973)

“…Ussing chamber studies revealed increase in ³H-5-HT uptake in mouse ileum treated ex vivo with TGF-β1 (10 ng/ml, 1h). …”

Time-resolved UV-visible spectroscopy of bodipy-based materials by F Cucinotta (7836197)

“…The first set of materials is characterised by green luminescence that, as the dye loading increases from 1% to 50%, shows a decrease in quantum yields from 0.22 to 0.05 and a reduction of the excited state lifetime. …”

Igf signaling is required for cardiomyocyte proliferation during zebrafish heart development. by Ying Huang (53474)

“…E. A significant decrease (***<i>p</i><0.0001) in cardiomyocyte proliferation was detected in embryos treated with NVP-AEW541.…”

Synthesis and bioactivity of the γ-secretase modulator photo-probe AR243. by Thorsten Jumpertz (188948)

“…AR243 caused a dose-dependent decrease in Aβ42 levels with a concomitant increase in Aβ38 levels, confirming its bioactivity as a potent GSM with an IC₅₀ for Aβ42 reduction of 290 nM.…”

General effects of training. by Marieke van der Linden (268336)

BBR increases autophagic activity in cultured cells. by Wenxiao Jiang (777255)

“…<p><b>(A)</b> Western blotting of LC3B in HEK293 cells transfected with or without Htt and treated with BBR (0, 5, 25, 50, or 100 μM). …”

The attenuating effects of Msi1 knockdown on Hh signaling in MSC proliferation and apoptosis. by In-Sun Hong (284033)

“…Purmorphamine increased cell proliferation (<b>A</b>) and decreased TUNEL-positive cell numbers (<b>B</b>), while the 50 nM Msi1 siRNA transfection produced the opposite effects. …”

The β2AR Pathway Involves PI3K/AKT in Controlling Keratinocyte Migration by Raja K Sivamani (587219)

“…Error bars represent standard error of the mean, <i>n =</i> 4; <i>* p <</i> 0.05.</p> <p>(B) Keratinocyte migration was measured after exposure to either procaterol (10 nM), ICI-118,551 (20 μM, specific β2AR antagonist), procaterol with ICI-118,551, LY294002 (50 μM, PI3K inhibitor), or LY294002 (50 μM) with ICI-118,551 (20 μM). …”

DataSheet_6_Evaluating NetMHCpan performance on non-European HLA alleles not present in training data.csv by Thomas Karl Atkins (17791715)

“…Thus, investigating the composition of training datasets used in machine learning models with healthcare applications is vital to ensure equity. Two such machine learning models are NetMHCpan-4.1 and NetMHCIIpan-4.0, used to predict antigen binding scores to major histocompatibility complex class I and II molecules, respectively. …”

DataSheet_1_Evaluating NetMHCpan performance on non-European HLA alleles not present in training data.pdf by Thomas Karl Atkins (17791715)

“…Thus, investigating the composition of training datasets used in machine learning models with healthcare applications is vital to ensure equity. Two such machine learning models are NetMHCpan-4.1 and NetMHCIIpan-4.0, used to predict antigen binding scores to major histocompatibility complex class I and II molecules, respectively. …”

DataSheet_5_Evaluating NetMHCpan performance on non-European HLA alleles not present in training data.xlsx by Thomas Karl Atkins (17791715)

“…Thus, investigating the composition of training datasets used in machine learning models with healthcare applications is vital to ensure equity. Two such machine learning models are NetMHCpan-4.1 and NetMHCIIpan-4.0, used to predict antigen binding scores to major histocompatibility complex class I and II molecules, respectively. …”

DataSheet_7_Evaluating NetMHCpan performance on non-European HLA alleles not present in training data.xlsx by Thomas Karl Atkins (17791715)

“…Thus, investigating the composition of training datasets used in machine learning models with healthcare applications is vital to ensure equity. Two such machine learning models are NetMHCpan-4.1 and NetMHCIIpan-4.0, used to predict antigen binding scores to major histocompatibility complex class I and II molecules, respectively. …”

DataSheet_4_Evaluating NetMHCpan performance on non-European HLA alleles not present in training data.xlsx by Thomas Karl Atkins (17791715)

“…Thus, investigating the composition of training datasets used in machine learning models with healthcare applications is vital to ensure equity. Two such machine learning models are NetMHCpan-4.1 and NetMHCIIpan-4.0, used to predict antigen binding scores to major histocompatibility complex class I and II molecules, respectively. …”