Data Sheet 1_Variation and spread of resistomes in swine manure, manure slurries, and long-term manure-fertilized soils.docx by Lei Jin (120473)

“…Metagenomic analysis showed metal resistance gene (MRG) diversity and abundance decreased during anaerobic digestion, along with reduced ARG-MRG co-occurrence frequency, whereas mobile genetic element (MGE) diversity and ARG-MGE co-occurrence frequency increased. …”

Description of the studied population (N = 710). by Maryo Baakliny (20910279)

“…Factors such as age and underlying conditions significantly influenced VE. …”

Preventive measures during COVID-19 pandemic. by Maryo Baakliny (20910279)

“…Factors such as age and underlying conditions significantly influenced VE. …”

Data Sheet 1_Environmental surveillance of the health risk of PM2.5-bound metals and metalloids in Wuxi, China, from 2020 to 2023.docx by Lijun Chen (313408)

“…The result of enrichment factor (EF) suggested most elements mainly derived from anthropogenic pollution, while industrial emissions (32.4%), automotive emissions (27.9%), fuel combustion (26.2%) and dust emissions (13.5%) identified as the main sources by the positive matrix factorization (PMF). …”

Table 1_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.xlsx by Jingjing Chen (293564)

“…Weighted gene co-expression network analysis prioritized seven hub genes. …”

Table 4_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.xlsx by Jingjing Chen (293564)

“…Weighted gene co-expression network analysis prioritized seven hub genes. …”

Table 5_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.xlsx by Jingjing Chen (293564)

“…Weighted gene co-expression network analysis prioritized seven hub genes. …”

Table 2_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.xlsx by Jingjing Chen (293564)

“…Weighted gene co-expression network analysis prioritized seven hub genes. …”

Table 3_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.xlsx by Jingjing Chen (293564)

“…Weighted gene co-expression network analysis prioritized seven hub genes. …”

Data Sheet 1_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.docx by Jingjing Chen (293564)

“…Weighted gene co-expression network analysis prioritized seven hub genes. …”

Table 1_Litter quality outweighs climate in driving grassland root decomposition.docx by Jingjing Yang (119262)

“…With respect to biotic factors, grazing (+7.51%) significantly increased decomposition, whereas vegetated soil (−27.84%), increased plant species richness (−4.99%), increased root litter richness (−5.93%), home-field decomposition (−4.34%), and soil biota exclusion (−10.40%) decreased it.…”

Table 1_Evaluation of mesenchymal stem cells as an in vitro model for inherited retinal diseases.docx by Maria Dodina (20223012)

“…Subsequent differentiation of MSCs into retinal cells can be carried out via various methods: culturing in induction media supplemented with certain growth factors, co-culturing with retinal cells or in their conditioned media, or regulating gene expression with viral vector-delivered transcription factors (TFs) or microRNAs (miRNAs). …”

Protective effect of phosphoenolpyruvate carboxykinase 1 on inflammation and fibrotic progression of IgA nephropathy by Ya-yin Tan (21448519)

“…In experiments with SV40-transformed mouse glomerular mesangial cells (MCs), PCK1 and PPARγ protein expression levels were significantly decreased in polymeric IgA1 (pIgA1)-stimulated MCs, which contrasts with the increased expression of inflammatory and fibrotic factors. …”

DataSheet1_Transcriptomic and sugar metabolic analysis reveals molecular mechanisms of peach gummosis in response to Neofusicoccum parvum infection.zip by Yang Zhang (30734)

“…Furthermore, weighted gene co-expression network analysis (WGCNA) identified two transcription factors, ERF027 and bZIP9, as central regulators in the downregulated and upregulated modules, respectively. …”

Image 2_Disruption of CDK5 regulatory subunit 1, p35, limits immunosuppressive M2 macrophages while maintaining functional M1 macrophages.tiff by Juliana R. Zampieri (22261441)

“…CDK5 is a protein kinase that requires association with regulatory, co-activating proteins, p35 (CDK5R1) or p39 (CDK5R2), for functional activation.…”

Image 1_Disruption of CDK5 regulatory subunit 1, p35, limits immunosuppressive M2 macrophages while maintaining functional M1 macrophages.tiff by Juliana R. Zampieri (22261441)

“…CDK5 is a protein kinase that requires association with regulatory, co-activating proteins, p35 (CDK5R1) or p39 (CDK5R2), for functional activation.…”

Image 3_Disruption of CDK5 regulatory subunit 1, p35, limits immunosuppressive M2 macrophages while maintaining functional M1 macrophages.tiff by Juliana R. Zampieri (22261441)

“…CDK5 is a protein kinase that requires association with regulatory, co-activating proteins, p35 (CDK5R1) or p39 (CDK5R2), for functional activation.…”

GnRH antagonist impairs the process of embryo implantation by inhibiting motility of endometrial stromal cells through reducing c-kit expression by Jun Tan (46388)

“…</i> 56.1%, <i>p</i> < .001) in the GnRH-ant group were significantly decreased. Contrarily, the rate of early miscarriage in the GnRH-ant group (13.95% <i>vs.…”