Tumour before resistance and at acquired resistance. by Oluf Dimitri Røe (109870)

“…Two novel putative resistance markers, KRT7/CK7 and TYMP both gene and protein was significantly increased at resistance. SPARCL1 showed a significant decrease in gene expression, but its encoded protein, hevin, showed only a slight decrease in protein staining intensity.…”

Calf circumference: clinical validation for evaluation of muscle mass in the elderly by Valéria Pagotto (4830771)

“…Conclusion: CC can be used as a measure for early identification of muscle mass decrease in routine evaluations of the elderly in primary care.…”

The effects of PRL-deficiency on hippocampal precursor number <i>in vitro</i>. by Tara L. Walker (308979)

“…There was also a significant decrease in hippocampal-derived neurosphere number in PRL^+/− compared to wild-type females (***p<0.001; <i>n</i> = 3 PRL ^+/+ and 5 PRL^+/− animals) and males (***p<0.001; <i>n</i> = 6 PRL ^+/+ and 7 PRL^+/− animals).…”

The 2016 California policy to eliminate nonmedical vaccine exemptions and changes in vaccine coverage: An empirical policy analysis by Sindiso Nyathi (8173356)

“…In the county-level analysis, overall vaccination coverage increased by 4.3% (95% confidence interval [CI] 2.9%–5.8%, <i>p</i> < 0.001), nonmedical exemptions decreased by 3.9% (95% CI 2.4%–5.4%, <i>p</i> < 0.001), and medical exemptions increased by 2.4% (95% CI 2.0%–2.9%, <i>p</i> < 0.001). …”

<i>Smndc1</i> poison exon deletion increases transcript and protein abundance and impacts global splicing. by Andrea E. Belleville (19434726)

“…<p><b>A</b>, Correlation between percent of <i>Smndc1</i> poison exon (PE) read coverage and total <i>Smndc1</i> transcript abundance across liver samples from wild-type (WT/WT), heterozygous (WT/Δ), and homozygous (Δ/Δ) mice. …”

Xenograft model of CML with the human cell line K562 in wild-type and E- and P-selectin knockout scid mice. by Daniel Wicklein (333203)

“…Median survival after transplantation was: wt 48.5 days, k.o. not reached. The curves were significantly different, **: P = 0.0085 (Log-rank test). …”

Table_1_Causality of particulate matter on cardiovascular diseases and cardiovascular biomarkers.pdf by Qiubo Wang (13168647)

“…To explore the causality of PM on CVDs and cardiovascular biomarkers, we conducted a Mendelian randomization (MR) analysis.…”

Predictive coding of sensory inputs and emergent oscillations. by Kwangjun Lee (22226994)

“…<b>(Right)</b> The three lines represent mean firing rates of excitatory cells in each of the three microcircuits: L5 for Rep in Area 2 and L2/3 for PE+ and PE- from Area 1 (see <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1013469#pcbi.1013469.g001" target="_blank">Fig 1</a> for detailed architecture). …”

miR-133b distribution in zebrafish embryos at 48 hpf by whole-mount <i>in situ</i> hybridization (ISH). by Katherine Barreto-Valer (109031)

“…Embryos exposed to cocaine (B, D, and F) show a decrease mainly in the CNS (D), midbrain (red arrow head) and hindbrain (red arrow), while in the diencephalon (black arrow) the decrease less patent. …”

Data for chapter 4 by Konstantinos Ioannidis (4408750)

Comparison between empirical data and simulation results of FSIR and SIR models. by Ling Feng (283711)

“…As we can see, for empirical and FSIR, ⟨<i>k</i>_⟩ values does not change significantly with <i>N</i>_<i>i</i> as seen in A and D. …”

DNA Methyltransferase Controls Stem Cell Aging by Regulating BMI1 and EZH2 through MicroRNAs by Ah-Young So (221707)

“…<div><p>Epigenetic regulation of gene expression is well known mechanism that regulates cellular senescence of cancer cells. Here we show that inhibition of DNA methyltransferases (DNMTs) with 5-azacytidine (5-AzaC) or with specific small interfering RNA (siRNA) against DNMT1 and 3b induced the cellular senescence of human umbilical cord blood-derived multipotent stem cells (hUCB-MSCs) and increased p16^INK4A and p21^CIP1/WAF1 expression. …”

Supplementary Table S4 by Racha El Hage (8160615)

Supplementary Table S4 by Racha El Hage (6656165)

Mapping dendritic spine loss with CBV-fMRI and volumetric MRI. by Xinyang Feng (9182526)

“…Cortical surface maps were generated from the template images using our proposed MouseStream software suite by projecting the mean density along each streamline (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0234255#sec012" target="_blank">Method</a> for details). …”

Chemical Exchange NMR by Nicolas Bolik-Coulon (7381049)

“…</div><div>- DecreaseB_ConstantSensivity: decreasing the magnetic field from a near-coalescence situation, but keeping the sensitivity constant to the one offered by a 600 MHz magnet (similarly to a two-field NMR spectrometer [2,3]) leads to a dramatic increasing of intensity and decrease of linewidth.…”

Purification and characterization of the deletion mutants. by Amanda Jack (11547638)

“…<p><b>(A)</b> Denaturing gel pictures of purified WT and deletion mutants of N protein in the presence and absence of kinase and phosphatase treatment (see <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3001425#sec009" target="_blank">Methods</a>). …”

<i>In vitro</i> and <i>in vivo</i> antitumor activity of PEITC and Trisenox in imatinib resistant cells. by Jérome Kluza (5649763)

“…<p>(A) DA1-3b and DA1-3b/M2 cells were treated with 1, 3, 5, 10, 15 and 20 µM of the pro-oxidant phenethyl isothiocyanate (PEITC) for 18 h (left) or with 1, 5, 10 and 20 µM of arsenic trioxide (Trisenox) for 4 h then mitochondrial ROS production was assessed by flow cytometry using MitoSox. …”

Real-world cost-effectiveness of pan-genotypic Sofosbuvir-Velpatasvir combination versus genotype dependent directly acting anti-viral drugs for treatment of hepatitis C patients i... by Yashika Chugh (7325960)

“…The use of SOF+VEL only for cirrhotic patients (scenario II) increases QALYs by 0.28 (0.03 to 0.71) per person, and decreases the cost by ₹ 5,946 (₹ 1,198 to ₹ 14,174) per patient, when compared to scenario I. …”

Analysis of the relative contribution of each genomic feature to the CNV classifier. by Jayne Y. Hehir-Kwa (249792)

“…Removal of the LINE density from the classifier results in the largest decrease in accuracy (6%) whilst removing MGI knockout phenotypes results in a drop of 5% in accuracy. …”