Rht1 functions in cell cycle progression and modulates fluconazole susceptibility. by Ci Fu (148006)

“…<p><b>A)</b><i><i>Candida albicans</i></i> strains were sub-cultured to an OD₆₀₀ of 0.2 in YPD and grown at 30 °C for 4 h. …”

Table 1_Vitamin D3 promotes white fat beige through IL-27/P38MAPK/PGC-1α pathway.docx by Yanqiu Zhou (2172931)

“…Meanwhile, there was a significant increase in mRNA and protein expression for VDR, IL-27R, P38MAPK, and PGC-1α. …”

Supplementary Material for: High expression of tetraspanin CD63 predicts poor prognosis in esophageal squamous cell carcinoma by Matsumoto Y. (2866151)

“…CD63 knockdown in ESCC cell lines resulted in a phenotype of decreased proliferative potential. …”

Data Sheet 1_Investigating the underlying mechanisms of the ethanol extract of saussureae involucratae herba in anti-rheumatoid arthritis effect based on sphingolipidomics.pdf by Pingyuan Chi (21563069)

“…In cell assays, SIE significantly decreased the protein levels of TNF-α and IL-6 (both P < 0.01) in LPS-stimulated RAW 264.7 cells. …”

Table 1_Retinal vessel metric analysis of type 1 diabetes mellitus in OCT angiography.docx by Nianfeng Tang (21536069)

“…</p>Conclusion<p>We employed a deep learning vessel segmentation model to analyze the changes in arterial and venous metrics in OCTA images of T1DM patients. …”

Table 3_Retinal vessel metric analysis of type 1 diabetes mellitus in OCT angiography.docx by Nianfeng Tang (21536069)

“…</p>Conclusion<p>We employed a deep learning vessel segmentation model to analyze the changes in arterial and venous metrics in OCTA images of T1DM patients. …”

Table 4_Retinal vessel metric analysis of type 1 diabetes mellitus in OCT angiography.docx by Nianfeng Tang (21536069)

“…</p>Conclusion<p>We employed a deep learning vessel segmentation model to analyze the changes in arterial and venous metrics in OCTA images of T1DM patients. …”

Table 2_Retinal vessel metric analysis of type 1 diabetes mellitus in OCT angiography.docx by Nianfeng Tang (21536069)

“…</p>Conclusion<p>We employed a deep learning vessel segmentation model to analyze the changes in arterial and venous metrics in OCTA images of T1DM patients. …”

Supplementary Figures for AJP-Integr Reg Comp Physiol R-00035-2025R1 by Joshua Huot (20868279)

“…</b> Overall, we showed that GL261 tumors impact the growth of pediatric mice by stunting skeletal muscle development, decreasing muscle mass, reducing muscle fiber size, diminishing muscle protein synthesis, and altering protein catabolism signaling.…”

Supplementary Material for: The role of neutrophils in venous thrombosis in primary membranous nephropathy by figshare admin karger (2628495)

“…In addition, we established a rat model of passive Heymann nephritis (PHN) by immunization with sheep anti-rat Fx1A serum. …”

Descriptive statistics. by Xiang Pan (5774024)

“…Only MVPA having a positive predictive effect causally on FFM. Snacking habits have a significant impact on body composition changes in adolescents, and reducing snack intake and choosing high-protein snacks are critical to controlling obesity in adolescents, especially during the holiday period. …”

Changes in body composition, PSC, PSCP, MVPA. by Xiang Pan (5774024)

“…Only MVPA having a positive predictive effect causally on FFM. Snacking habits have a significant impact on body composition changes in adolescents, and reducing snack intake and choosing high-protein snacks are critical to controlling obesity in adolescents, especially during the holiday period. …”

Causal paths for FFM. by Xiang Pan (5774024)

“…Only MVPA having a positive predictive effect causally on FFM. Snacking habits have a significant impact on body composition changes in adolescents, and reducing snack intake and choosing high-protein snacks are critical to controlling obesity in adolescents, especially during the holiday period. …”

Recruitment and screening flowchart. by Xiang Pan (5774024)

“…Only MVPA having a positive predictive effect causally on FFM. Snacking habits have a significant impact on body composition changes in adolescents, and reducing snack intake and choosing high-protein snacks are critical to controlling obesity in adolescents, especially during the holiday period. …”

Factors influencing body fat percentage at Q2. by Xiang Pan (5774024)

“…Only MVPA having a positive predictive effect causally on FFM. Snacking habits have a significant impact on body composition changes in adolescents, and reducing snack intake and choosing high-protein snacks are critical to controlling obesity in adolescents, especially during the holiday period. …”

Factors influencing body fat percentage at Q1. by Xiang Pan (5774024)

“…Only MVPA having a positive predictive effect causally on FFM. Snacking habits have a significant impact on body composition changes in adolescents, and reducing snack intake and choosing high-protein snacks are critical to controlling obesity in adolescents, especially during the holiday period. …”

STROBE flowchart. by Xiang Pan (5774024)

“…Only MVPA having a positive predictive effect causally on FFM. Snacking habits have a significant impact on body composition changes in adolescents, and reducing snack intake and choosing high-protein snacks are critical to controlling obesity in adolescents, especially during the holiday period. …”

Factors influencing FFM at Q1. by Xiang Pan (5774024)

“…Only MVPA having a positive predictive effect causally on FFM. Snacking habits have a significant impact on body composition changes in adolescents, and reducing snack intake and choosing high-protein snacks are critical to controlling obesity in adolescents, especially during the holiday period. …”

Supporting data for "DECODING THE NEUROIMMUNE AXIS OF HEAD AND NECK CANCER TO ENHANCE IMMUNOTHERAPEUTIC OUTCOMES" by Ravi Kishan (11263155)

“…Genetic ablation of PTHLH resulted in dysregulation of neurotrophic signaling pathways essential for intra-tumoral innervation, significant reduction in tumor burden, and enhanced antitumor immunity —evidenced by increased CD8+ and CD4+ T cell infiltration, as well as decreased immunosuppressive markers. …”

An analysis of drug recognition expert evaluations and comparisons with police issued citations in Maryland, 2017–2021 by Komal Bhagat (21376985)

“…Despite the program’s success, significant gaps remain in testing methods and integrating alcohol and drug evaluations. …”