Overexpression of Smad7 in airway epithelium alleviates allergic inflammation and airway remodeling. by Xiaolin Luo (228775)

“…Note the peribronchial fibrosis was decreased in CC10-Smad7 mice. (E) Reduced OVA-specific IgE concentration in CC10-Smad7 mice. …”

DataSheet_1_Circulating levels and the bioactivity of miR-30b increase during pubertal progression in boys.docx by Nina Mørup (14457141)

“…MKRN3 functions as a pre-pubertal break on the GnRH pulse generator and hypothalamic expression and circulating levels of MKRN3 decrease peri-pubertally. …”

Effect of plate washing on the dissociation of ACE inhibitor from ACE. by Sergei M. Danilov (118956)

“…Values decreased more than by 20% are highlighted in yellow.…”

Kinematic Profiles of Mudskipper Pectoral Fin versus Salamander Hindlimb by Zachary Quigley (11422969)

Erythrocytes abolished the effect of DEANONOate on platelet aggregation. by Sirada Srihirun (334725)

“…<p>(A) Inhibition of platelet aggregation by DEANONOate decreased in the presence of erythrocytes. …”

Analysis of hugin neuropeptide function in feeding and locomotion by <i>hugin</i> RNAi. by Andreas Schoofs (588234)

“…Fluorescence intensity analysis of hugin antibody staining indicates significant decrease of hugin neuropeptide for HugS3>dTrpA1,HugRNAi1A compared with HugS3>dTrpA1 (antibody staining of all genotypes is shown in <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.1001893#pbio.1001893.s007" target="_blank">Figure S7</a>). …”

Analysis of hugin neuropeptide function in feeding and locomotion by <i>hugin</i> RNAi. by Andreas Schoofs (588234)

“…Fluorescence intensity analysis of hugin antibody staining indicates significant decrease of hugin neuropeptide for HugS3>dTrpA1,HugRNAi1A compared with HugS3>dTrpA1 (antibody staining of all genotypes is shown in <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.1001893#pbio.1001893.s007" target="_blank">Figure S7</a>). …”

Table3_Machine learning combining multi-omics data and network algorithms identifies adrenocortical carcinoma prognostic biomarkers.xlsx by Roberto Martin-Hernandez (3661549)

“…The discriminative power of the multi-omics signature and their regulators was delineated by training a random forest classifier using 55 samples, by employing a 10-fold cross validation with five iterations. …”

Table1_Machine learning combining multi-omics data and network algorithms identifies adrenocortical carcinoma prognostic biomarkers.xlsx by Roberto Martin-Hernandez (3661549)

“…The discriminative power of the multi-omics signature and their regulators was delineated by training a random forest classifier using 55 samples, by employing a 10-fold cross validation with five iterations. …”

DataSheet2_Machine learning combining multi-omics data and network algorithms identifies adrenocortical carcinoma prognostic biomarkers.PDF by Roberto Martin-Hernandez (3661549)

“…The discriminative power of the multi-omics signature and their regulators was delineated by training a random forest classifier using 55 samples, by employing a 10-fold cross validation with five iterations. …”

DataSheet1_Machine learning combining multi-omics data and network algorithms identifies adrenocortical carcinoma prognostic biomarkers.PDF by Roberto Martin-Hernandez (3661549)

“…The discriminative power of the multi-omics signature and their regulators was delineated by training a random forest classifier using 55 samples, by employing a 10-fold cross validation with five iterations. …”

DataSheet3_Machine learning combining multi-omics data and network algorithms identifies adrenocortical carcinoma prognostic biomarkers.PDF by Roberto Martin-Hernandez (3661549)

“…The discriminative power of the multi-omics signature and their regulators was delineated by training a random forest classifier using 55 samples, by employing a 10-fold cross validation with five iterations. …”

Table2_Machine learning combining multi-omics data and network algorithms identifies adrenocortical carcinoma prognostic biomarkers.XLSX by Roberto Martin-Hernandez (3661549)

“…The discriminative power of the multi-omics signature and their regulators was delineated by training a random forest classifier using 55 samples, by employing a 10-fold cross validation with five iterations. …”

Image1_Machine learning combining multi-omics data and network algorithms identifies adrenocortical carcinoma prognostic biomarkers.JPEG by Roberto Martin-Hernandez (3661549)

“…The discriminative power of the multi-omics signature and their regulators was delineated by training a random forest classifier using 55 samples, by employing a 10-fold cross validation with five iterations. …”

Speed-related auditory cortical activity and sensory processing. by Stephen M. Town (3666439)

“…Data available at <a href="https://doi.org/10.6084/m9.figshare.4955378.v1" target="_blank">https://doi.org/10.6084/m9.figshare.4955378.v1</a>.…”

Low glucose concentration induced 661W cell death. by Martine Emery (215947)

“…<p>661W, ARPE19 and Mio-M1 cells were cultured as mentioned in material & <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0021586#s2" target="_blank">methods</a>, then <b>A</b>) cells were incubated at 2 mM glucose for different time periods or for 24 h at different glucose concentrations. …”

Full-length AKAP13 mRNA levels are reduced by the gene-trap events. by Matthew J. Spindler (407529)

“…<p>(A) TaqMan gene expression assays were used to measure the expression of AKAP13 transcripts at the indicated exon-exon junctions (E4-5, Brx-9, & E37-38). …”

DataSheet1_Protective Effects of Sacubitril/Valsartan on Cardiac Fibrosis and Function in Rats With Experimental Myocardial Infarction Involves Inhibition of Collagen Synthesis by... by Meifang Wu (117380)

“…In parallel, myocardial fibroblasts (MFs) isolated from neonatal SD rats were exposed to hypoxia and treated with TGF-β1 (5 ng/ml) plus vehicle, Val (10⁷–10^–5 M) or Sac/Val (10⁷–10⁵ M). …”

<i>rhlAB</i> promoter activity during different phases of growth in nutrient limitation batch culture. by Kerry E. Boyle (759216)

“…<p>GFP and promoter activity data are from the same growth curves shown in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1004279#pcbi.1004279.g002" target="_blank">Fig 2</a>. …”

Data_Sheet_1_Microbial Degradation of Citric Acid in Low Level Radioactive Waste Disposal: Impact on Biomineralization Reactions.docx by Natalie Byrd (10715205)

“…Sulfate reduction only occurred in a single microcosm at pH 10. Here, citrate was fully removed from solution, alongside ingrowth of acetate and formate, likely fermentation products. …”