Activation of the PPARγ-LXRα-ABC transcriptional cascade by ghrelin is dependent on the PI3-K/Akt pathway. by Annie Demers (369643)

“…<p>(<b>A</b>) Role of the PI3-K pathway on gene expression analysis from THP-1 cells treated with 100 nM ghrelin and 5 nM LY294002 for 48 h. …”

Densitometries of dynamic lung computed tomography (CT) by Hermann Wrigge (15630)

“…The marked lung tissue was divided into a nondependent and a dependent region of interest bisecting a ventral to dorsal axis that represents the highest chest diameter in parallel to a reference line from sternum to spine. …”

The effect of 4 day’s starvation on visible protein aggregates. by Ulfat I. Baig (233369)

“…<p>(n = 100±20 each for data in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0107445#pone-0107445-g002" target="_blank">Fig. 2A to C</a>). …”

Anticipatory coadaptation of ankle stiffness and sensorimotor gain for standing balance by Charlotte Le Mouel (7962200)

“…The nervous system can intervene only after a delay greater than 100 ms, during which the body falls freely. …”

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.…”

T- and R-type calcium channels modulate glutamate spikes, synaptic and bursting activities. by Saju Balakrishnan (58265)

“…In WT cells the effects were similar but weaker due to smaller amplitudes of calcium currents (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0202802#pone.0202802.s003" target="_blank">S3 Fig</a> and <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0202802#pone.0202802.s007" target="_blank">S3 File</a> in Supporting information). …”

miR-135b negatively regulates the hMSC osteogenic differentiation. by Song Xu (187853)

“…ALP staining is performed using BCIP/NBT solution and confirms that miR-135b gain or loss results in a decrease or increase of ALP expression, respectively. …”

DataSheet_1_Intensity and duration of salinity required to form adaptive response in C4 halophyte Kochia prostrata (L.) Shrad.pdf by Elena Shuyskaya (13921386)

“…In parallel, an active Na⁺ accumulation and a decreased K⁺/Na⁺ ratio take place. …”

Sociodemographic changes and trends in the rates of new perinatal HIV diagnoses and transmission in Spain from 1997 to 2015 by Santiago Jiménez de Ory (7541696)

“…The rates of new perinatal HIV diagnoses and perinatal transmission in Spanish children decreased from 0.167 to 0.005 per 100,000 inhabitants and 11.4% to 0.4% between 1997 and 2015, respectively.…”

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. …”

DataSheet_3_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. …”

Associations of alpha diversity measures and of major bacterial taxa and selected genera with levels of microbial enzymatic activity. by Roberto Flores (317863)

“…a<p>Log values of enzymatic activity IU/100 mg fecal protein. the two significantly associated principal components, per unit increase in alpha diversity, per tertile for Firmicutes and Bacteroidetes phyla, and per level (none, low, high) for the minor phyla, genera and unclassified bacteria.…”

Table 6_Quantitative proteomic analysis reveals potential serum diagnostic markers for colorectal adenoma.xlsx by Chengli Yu (1445185)

“…The alterations in these candidate proteins were further validated by ELISA to evaluate their potential as diagnostic biomarkers for colorectal adenoma.</p>Results<p>In two independent cohorts, we identified two candidate biomarkers, apolipoprotein A4 (APOA4) and filamin A (FLNA), through a multi-step selection process involving ANOVA p-value screening, sparse partial least squares discriminant analysis (sPLS-DA), and LASSO regression analysis. …”