Signature of Aberrant DNA Methylation in <i>MYC</i>-Induced T cell Lymphomas by Rene Opavsky (32415)

“…Only data for RLGS fragments that have been methylated in more than 50% of tumors are shown. Methylation data from the analysis of three sets of EGFP-positive and EGFP-negative thymocytes isolated from 21-d-old <i>EμSR-tTA;Teto-MYC;Teto-Cre;Rosa26LOXP^EGFP</i> mice are also shown (see text and <a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.0030167#pgen-0030167-g002" target="_blank">Figure 2</a>).…”

DataSheet_1_Canagliflozin alters the gut, oral, and ocular surface microbiota of patients with type 2 diabetes mellitus.xls by Limin Wang (87511)

“…</p>Clinical parameters<p>A significant decrease in fasting plasma glucose (8.22 ± 2.19 vs 6.87 ± 1.09 mmol/L), glycated serum protein [291.00 (264.00, 353.00) vs 275.00 (251.00, 342.50) μmol/L], hemoglobin A1c (7.39 ± 1.18 vs 7.12 ± 1.33%), body mass index (25.32 ± 2.99 vs 24.83 ± 2.95 kg/m²), systolic blood pressure (129.05 ± 17.51 vs 123.43 ± 14.82 mmHg), and urinary creatinine [158.40 (74.75, 219.15) vs 79.70 (56.25, 138.10) μmmol/kg] levels was noted after 30-day Cana monotherapy (P < 0.05).…”

DataSheet_3_Canagliflozin alters the gut, oral, and ocular surface microbiota of patients with type 2 diabetes mellitus.xls by Limin Wang (87511)

“…</p>Clinical parameters<p>A significant decrease in fasting plasma glucose (8.22 ± 2.19 vs 6.87 ± 1.09 mmol/L), glycated serum protein [291.00 (264.00, 353.00) vs 275.00 (251.00, 342.50) μmol/L], hemoglobin A1c (7.39 ± 1.18 vs 7.12 ± 1.33%), body mass index (25.32 ± 2.99 vs 24.83 ± 2.95 kg/m²), systolic blood pressure (129.05 ± 17.51 vs 123.43 ± 14.82 mmHg), and urinary creatinine [158.40 (74.75, 219.15) vs 79.70 (56.25, 138.10) μmmol/kg] levels was noted after 30-day Cana monotherapy (P < 0.05).…”

DataSheet_2_Canagliflozin alters the gut, oral, and ocular surface microbiota of patients with type 2 diabetes mellitus.xls by Limin Wang (87511)

“…</p>Clinical parameters<p>A significant decrease in fasting plasma glucose (8.22 ± 2.19 vs 6.87 ± 1.09 mmol/L), glycated serum protein [291.00 (264.00, 353.00) vs 275.00 (251.00, 342.50) μmol/L], hemoglobin A1c (7.39 ± 1.18 vs 7.12 ± 1.33%), body mass index (25.32 ± 2.99 vs 24.83 ± 2.95 kg/m²), systolic blood pressure (129.05 ± 17.51 vs 123.43 ± 14.82 mmHg), and urinary creatinine [158.40 (74.75, 219.15) vs 79.70 (56.25, 138.10) μmmol/kg] levels was noted after 30-day Cana monotherapy (P < 0.05).…”

On the Order of the Fractional Laplacian in Determining the Spatio-Temporal Evolution of a Space-Fractional Model of Cardiac Electrophysiology by Nicole Cusimano (832596)

Equilibrium queueing analysis in a ride-hailing service with sharing option by Jianfu Wang (6295775)

Table4_HDAC Inhibitor Titration of Transcription and Axolotl Tail Regeneration.XLSX by S. Randal Voss (8123669)

“…Using single-nuclei RNA-Seq at 6 HPA, we found that key genes were altered by romidepin in the same direction across multiple cell types. …”

Stem cell therapy targets the neointimal smooth muscle cells in experimentally induced atherosclerosis: involvement of intracellular adhesion molecule (ICAM) and vascular cell adhe... by R.M. Hashem (12728221)

“…We concluded that MSCs therapy significantly replaced the neointimal SMCs and decreased adhesion molecules as well as the oxidative and inflammatory markers in atherosclerosis.…”

Image2_HDAC Inhibitor Titration of Transcription and Axolotl Tail Regeneration.tiff by S. Randal Voss (8123669)

“…Using single-nuclei RNA-Seq at 6 HPA, we found that key genes were altered by romidepin in the same direction across multiple cell types. …”

Image3_HDAC Inhibitor Titration of Transcription and Axolotl Tail Regeneration.tiff by S. Randal Voss (8123669)

“…Using single-nuclei RNA-Seq at 6 HPA, we found that key genes were altered by romidepin in the same direction across multiple cell types. …”

Image1_HDAC Inhibitor Titration of Transcription and Axolotl Tail Regeneration.tiff by S. Randal Voss (8123669)

“…Using single-nuclei RNA-Seq at 6 HPA, we found that key genes were altered by romidepin in the same direction across multiple cell types. …”

Table2_HDAC Inhibitor Titration of Transcription and Axolotl Tail Regeneration.XLSX by S. Randal Voss (8123669)

“…Using single-nuclei RNA-Seq at 6 HPA, we found that key genes were altered by romidepin in the same direction across multiple cell types. …”

Table3_HDAC Inhibitor Titration of Transcription and Axolotl Tail Regeneration.XLSX by S. Randal Voss (8123669)

“…Using single-nuclei RNA-Seq at 6 HPA, we found that key genes were altered by romidepin in the same direction across multiple cell types. …”

Table1_HDAC Inhibitor Titration of Transcription and Axolotl Tail Regeneration.XLSX by S. Randal Voss (8123669)

“…Using single-nuclei RNA-Seq at 6 HPA, we found that key genes were altered by romidepin in the same direction across multiple cell types. …”

Table7_HDAC Inhibitor Titration of Transcription and Axolotl Tail Regeneration.XLS by S. Randal Voss (8123669)

“…Using single-nuclei RNA-Seq at 6 HPA, we found that key genes were altered by romidepin in the same direction across multiple cell types. …”

Table6_HDAC Inhibitor Titration of Transcription and Axolotl Tail Regeneration.XLSX by S. Randal Voss (8123669)

“…Using single-nuclei RNA-Seq at 6 HPA, we found that key genes were altered by romidepin in the same direction across multiple cell types. …”

Table5_HDAC Inhibitor Titration of Transcription and Axolotl Tail Regeneration.XLSX by S. Randal Voss (8123669)

“…Using single-nuclei RNA-Seq at 6 HPA, we found that key genes were altered by romidepin in the same direction across multiple cell types. …”

Image4_HDAC Inhibitor Titration of Transcription and Axolotl Tail Regeneration.tiff by S. Randal Voss (8123669)

“…Using single-nuclei RNA-Seq at 6 HPA, we found that key genes were altered by romidepin in the same direction across multiple cell types. …”

Supplementary Material for: Status of inpatients with pediatric epilepsy in children’s hospitals in China (2016–2021) by Wang J. (3112815)

“…The disease burden decreased from 17.26% to 12.11% with a significant upward trend (P=0.02417, R2=0.8817). …”

The role of <i>neuromedin U</i> in adiposity regulation. Haplotype analysis in European children from the IDEFICS Cohort by Francesco Gianfagna (440763)