Data Sheet 9_Lathyrol inhibits the proliferation of Renca cells by altering expression of TGF-β/Smad pathway components and subsequently affecting the cell cycle.xlsx by Shengyou Song (22391068)

“…In vivo, lathyrol suppressed the mRNA and protein expression of TGF-β1, TGF-βR1, Smad2, Smad3, Smad4, and Smad9 in RCC xenografts; promoted the protein expression of Smad6; and decreased the protein expression of cyclin D1, cyclin B1, cyclin A1, cyclin E1, CDK6, CDK4, and CDK1 while increasing the expression of P16, P21, and P27.…”

Data Sheet 6_Lathyrol inhibits the proliferation of Renca cells by altering expression of TGF-β/Smad pathway components and subsequently affecting the cell cycle.xlsx by Shengyou Song (22391068)

“…In vivo, lathyrol suppressed the mRNA and protein expression of TGF-β1, TGF-βR1, Smad2, Smad3, Smad4, and Smad9 in RCC xenografts; promoted the protein expression of Smad6; and decreased the protein expression of cyclin D1, cyclin B1, cyclin A1, cyclin E1, CDK6, CDK4, and CDK1 while increasing the expression of P16, P21, and P27.…”

Data Sheet 8_Lathyrol inhibits the proliferation of Renca cells by altering expression of TGF-β/Smad pathway components and subsequently affecting the cell cycle.xlsx by Shengyou Song (22391068)

“…In vivo, lathyrol suppressed the mRNA and protein expression of TGF-β1, TGF-βR1, Smad2, Smad3, Smad4, and Smad9 in RCC xenografts; promoted the protein expression of Smad6; and decreased the protein expression of cyclin D1, cyclin B1, cyclin A1, cyclin E1, CDK6, CDK4, and CDK1 while increasing the expression of P16, P21, and P27.…”

Trends and Disparities in Rates of Hypoglycemia Among Hospitalized Patients with Type II Diabetes by Paul A Heidenreich (13188712)

“…Black (adjusted odds ratio -aOR, 1.42 95% CI 1.36-1.49) or Hispanic patients (aOR 1.26 95% CI 1.17-1.35) had a greater risk of hypoglycemia compared with non-Hispanic White patients and women had borderline less hypoglycemia than men (aOR 0.95, 95% CI 0.89-1.00)</p><p dir="ltr">Conclusion: Inpatient hypoglycemia in the VA Health System has been declining though there are race, age and gender differences that remain unexplained. …”

Data Sheet 2_Screening of neurotransmitter receptor modulators reveals novel inhibitors of influenza virus replication.pdf by Yarou Gao (20620991)

“…Three representative compounds (isoxsuprine, ciproxifan, and rotigotine) inhibited H1N1 replication in a dose-dependent manner in multiple cell lines, and were effective against H1N1, oseltamivir-resistant H1N1, H3N2, and influenza B strains. …”

Enterocolitis severity increases with DSS concentration. by Cuilee Sha (4836888)

“…<b>(D)</b> Cellular proliferation, as measured by number of Ki67-<i>p</i>ositive cells within small intestinal crypts, decreased significantly in 2% DSS. One-way ANOVA with Tukey’s post-hoc, p < 0.0001 (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0323626#pone.0323626.s018" target="_blank">S10</a> and <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0323626#pone.0323626.s019" target="_blank">S11 Tables</a>). …”

Distinct fates of dissolved organic nitrogen in the upper waters of Western Tropical North Pacific by Zhenwei YAN (22464244)

“…DON consumption occurred throughout the water column, with isotopic fractionation factors decreasing systematically with depth (ε = 6.0 ± 1.1‰ at surface to 1.5 ± 0.6‰ at 300 m). …”

Data and Supplemental Figures from: Effect of pH adjustments on a novel micellar casein-based edible 3D printing formulation by MICHAEL MCANULTY (20690693)

Role of macrophages, fibroblasts, and endothelial cells in rheumatoid arthritis (modified)–Expression overlay: PAS-highFIB-highGCX vs. Naive-noFIB-highGCX. by Melissa A. Hausburg (20529229)

“…PAS-highFIB-highGCX versus naïve-noFIB-highGCX log₂ fold-ratio values are overlayed upon the signaling pathway and are displayed as a simple color-intensity scale where magenta indicates increased and green indicates decreased protein abundance in PAS-highFIB-highGCX. …”

Analysis of the hankyphage DNA ends. by Sol Vendrell-Fernández (10053123)

“…(<b>d</b>) Zoom in on the 3′ end of the phage shows decreasing coverage of jmh43 chromosome over a ~ 2,300 nucleotide region indication packaging of a variable size fragment of the chromosome on the 3′ end of the phage of approximately 1–2.3kb. …”

Neurodevelopmental H2AK119ub enrichment within H3K4me3-positive promoters subdues transcription. by Aditya Parmar (22331873)

“…<p><b>(A)</b> Violin plots showing length-scaled abundance of H2AK119ub within H3K4me3 peak regions, P-values and D statistics by Kolmogorov-Smirnov D test (n = 4). …”

Image 2_Identification of mitochondria-related feature genes for predicting type 2 diabetes mellitus using machine learning methods.jpeg by Xiuping Xuan (8686266)

“…</p>Results<p>Five mitochondria-related feature genes (SLC2A2, ENTPD3, ARG2, CHL1, and RASGRP1) were identified for type 2 diabetes mellitus prediction. …”

Data Sheet 4_Identification of mitochondria-related feature genes for predicting type 2 diabetes mellitus using machine learning methods.csv by Xiuping Xuan (8686266)

“…</p>Results<p>Five mitochondria-related feature genes (SLC2A2, ENTPD3, ARG2, CHL1, and RASGRP1) were identified for type 2 diabetes mellitus prediction. …”

Data Sheet 6_Identification of mitochondria-related feature genes for predicting type 2 diabetes mellitus using machine learning methods.csv by Xiuping Xuan (8686266)

“…</p>Results<p>Five mitochondria-related feature genes (SLC2A2, ENTPD3, ARG2, CHL1, and RASGRP1) were identified for type 2 diabetes mellitus prediction. …”

Data Sheet 3_Identification of mitochondria-related feature genes for predicting type 2 diabetes mellitus using machine learning methods.csv by Xiuping Xuan (8686266)

“…</p>Results<p>Five mitochondria-related feature genes (SLC2A2, ENTPD3, ARG2, CHL1, and RASGRP1) were identified for type 2 diabetes mellitus prediction. …”

Data Sheet 2_Identification of mitochondria-related feature genes for predicting type 2 diabetes mellitus using machine learning methods.csv by Xiuping Xuan (8686266)

“…</p>Results<p>Five mitochondria-related feature genes (SLC2A2, ENTPD3, ARG2, CHL1, and RASGRP1) were identified for type 2 diabetes mellitus prediction. …”

Image 3_Identification of mitochondria-related feature genes for predicting type 2 diabetes mellitus using machine learning methods.jpeg by Xiuping Xuan (8686266)

“…</p>Results<p>Five mitochondria-related feature genes (SLC2A2, ENTPD3, ARG2, CHL1, and RASGRP1) were identified for type 2 diabetes mellitus prediction. …”

Data Sheet 5_Identification of mitochondria-related feature genes for predicting type 2 diabetes mellitus using machine learning methods.csv by Xiuping Xuan (8686266)

“…</p>Results<p>Five mitochondria-related feature genes (SLC2A2, ENTPD3, ARG2, CHL1, and RASGRP1) were identified for type 2 diabetes mellitus prediction. …”

pH sensitive lipid polymeric hybrid nanoparticle (LPHNP) of paclitaxel and curcumin for targeted delivery in breast cancer by Hrishikesh Sarma (14827761)

“…</p> <p>LPHNPs co-loaded with curcumin (CUR) and paclitaxel (PTX) were successfully formulated, achieving a size of 146 nm, a PDI of 0.18, and an entrapment efficiency exceeding 90%. <i>In vitro</i> release studies demonstrated controlled release of CUR and PTX under tumor pH conditions showing 1.6 fold and 1.7 fold higher release in ABS pH 5 in comparison to PBS 7.4 for PTX and CUR respectively. …”

Care quality. by Youssef Hbid (18803761)

“…Stroke multidisciplinary access increased during the first lockdown but decreased in subsequent periods. Access to thrombectomy sequentially increased across time periods; by 40% during first lockdown (adjusted Odd-Ratio: 1.4; 95% CI:1.24–1.58), second lockdown (aOR: 1.77; 1.66–1.92), and 2-folds post-lockdown (aOR: 2.03; 1.92–2.15). …”