Loss of <i>Smad4</i> led to excessive proliferation of the retina cells at early development and abundant apoptosis later as assessed by pulse BrDU labeling and staining as well as... by Jing Li (10611)

“…<p><b>(A-D)</b> Results of BrDU labeling followed by immunostaining were shown in <i>Smad4</i>-cKO mice and control mice at the nasal paracentral zone of P0 and P5. …”

Variance-sensitivity poster 061119.pdf by Thomas Ray Haaland (7258370)

Longitudinal course of circulating donor-specific T-cell precursor frequencies in LTx-recipients. by Özlem Tapirdamaz (358220)

“…Donor-derived and 3^rd party-derived stimulator cells differed on the average at 1.8 HLA-AB loci and 1.5 HLA-DR loci. A. Numbers of T-cell precursors responding to donor-derived CD40-B cells increased significantly 1 week after transplantation in all T-cell subsets, followed by a decrease to values below pre-transplant levels. …”

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. …”

X-ChIP based affinity purification provides the most inclusive analysis of nucleoid associated proteins. by Nina Rajala (693865)

“…Samples were analysed (in duplicate for TwinkleFLAG + XL, otherwise in triplicate) by shotgun mass spectrometry using a Q Exactive Orbitrap. To again identify potentially interesting proteins we compared all 4 generated lists simultaneously using Venny, similar as in Figs. …”

Tn-seq screen for new sporulation genes. by Alexander J. Meeske (843722)

“…<b>(C)</b> Scatterplot showing the extent of decrease in transposon insertions in all genes at T5. …”

Selective inhibition of EBV-positive cells to PLOD1 depletion or inhibition by 2-DP. by Jayaraju Dheekollu (56109)

“…<p><b>A)</b> Flow cytometry analysis of cell viability using propidium iodide (PI, y-axis) and Annexin V (x-axis) for DG75, BJAB, MutuI, Raji, B95.8LCL transduced with control shRNA or PLOD1 shRNA for 5 days. …”

Influence of population and exercise protocol characteristics on hemodynamic determinants of post-aerobic exercise hypotension by L.C. Brito (6936437)

“…Data analysis showed that 1) most postexercise hypotension cases are due to a reduction in systemic vascular resistance; 2) age, body mass index, and blood pressure status influence postexercise hemodynamics, favoring cardiac output decrease in elderly, overweight, and hypertensive subjects; 3) gender and training status do not have an isolated influence; 4) exercise duration, intensity, and mode also do not affect postexercise hemodynamics; 5) time of day might have an influence, but more data are needed; and 6) recovery in the supine position facilitates systemic vascular resistance decrease. …”

The significance of ANXA4-induced gene expression was analyzed using the Ingenuity Pathway Analysis (IPA) database. by Li-Ling Lin (137084)

“…<p>(A) 25 of the 42 candidate genes showed a significant difference in expression (a fold increase of ≥2 or a fold decrease of ≤0.5, <i>P</i><0.05) and were categorized among the three top-ranked networks. …”

Supplementary Material for: Divergence and Convergence: How Do Income Inequalities in Mortality Change over the Life Course? by Rehnberg J. (6198179)

“…<b><i>Methods:</i></b> We used Swedish total population data with 5,011,414 individual observations. …”

Comparison of Invasive Blood Pressure Measurements from the Caudal Ventral Artery and the Femoral Artery in Male Adult SD and Wistar Rats by Ying Wang (11406)

“…The overall mean gradient and the mean gradient under a steady hemodynamic state were 4.9±3.7 mm Hg and 5.5±2.5 mm Hg, respectively. …”

Effects of activators and inhibitors on TcPiezo channels. by Guozhong Huang (673424)

“…Downregulation of <i>TcPiezo2</i> expression (+Tet) showed a significant decrease of lysosomal Ca²⁺ release as in <a href="http://www.plospathogens.org/article/info:doi/10.1371/journal.ppat.1013105#ppat.1013105.g004" target="_blank">Fig 4A</a>. …”

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_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. …”

Zinc, Iron, Manganese and Copper Uptake Requirement in Response to Nitrogen Supply and the Increased Grain Yield of Summer Maize by Yanfang Xue (547585)

“…The effect of cultivars on ZnRIE was similar to that of yield ranges. The substantial decrease in ZnRIE may be attributed to an increased Zn harvest index (from 41% to 60%) and decreased Zn concentrations in straw (a 56% decrease) and grain (decreased from 16.9 to 12.2 mg kg⁻¹) rather than greater shoot Zn accumulation. …”

Table_2_K Deprivation Modulates the Primary Metabolites and Increases Putrescine Concentration in Brassica napus.docx by Elise Réthoré (11270742)

“…The lower availability of K was associated with a decrease in the concentration of both S and N and modulated the genes involved in their uptake and transport. …”

Presentation_1_K Deprivation Modulates the Primary Metabolites and Increases Putrescine Concentration in Brassica napus.pptx by Elise Réthoré (11270742)

“…The lower availability of K was associated with a decrease in the concentration of both S and N and modulated the genes involved in their uptake and transport. …”