Table 1_Multi-omics analysis reveals the alleviating effect of oxidation remediation on tobacco quinclorac stress.xls by Binghui Zhang (10898910)

“…Metagenomic analysis found that quinclorac significantly reduced soil species diversity, while K₂S₂O₈-based remediation soil exhibited higher richness of microbial communities, with increased abundance of Sphingomonas and Bradyrhizobium, and decreased abundance of Alphaproteobacteria. …”

Image 2_Multi-omics analysis reveals the alleviating effect of oxidation remediation on tobacco quinclorac stress.jpeg by Binghui Zhang (10898910)

“…Metagenomic analysis found that quinclorac significantly reduced soil species diversity, while K₂S₂O₈-based remediation soil exhibited higher richness of microbial communities, with increased abundance of Sphingomonas and Bradyrhizobium, and decreased abundance of Alphaproteobacteria. …”

Table 2_Multi-omics analysis reveals the alleviating effect of oxidation remediation on tobacco quinclorac stress.xls by Binghui Zhang (10898910)

“…Metagenomic analysis found that quinclorac significantly reduced soil species diversity, while K₂S₂O₈-based remediation soil exhibited higher richness of microbial communities, with increased abundance of Sphingomonas and Bradyrhizobium, and decreased abundance of Alphaproteobacteria. …”

Table 1_A species of Coprococcus is related to BMI in patients who underwent malabsorptive bariatric surgery and its abundance is modified by magnesium and thiamin intake.docx by Fernando Suárez-Sánchez (7552866)

“…The Shannon and Simpson diversity indices decreased significantly after surgery (p < 0.001). …”

Image 1_Multi-omics analysis reveals the alleviating effect of oxidation remediation on tobacco quinclorac stress.jpeg by Binghui Zhang (10898910)

“…Metagenomic analysis found that quinclorac significantly reduced soil species diversity, while K₂S₂O₈-based remediation soil exhibited higher richness of microbial communities, with increased abundance of Sphingomonas and Bradyrhizobium, and decreased abundance of Alphaproteobacteria. …”

Table2_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”

Table13_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”

Table12_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”

Table3_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”

Table9_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”

Image1_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.tif by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”

Table7_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”

Table6_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”

Table11_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”

Table8_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”

Table5_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”

Data Sheet 2_Cellular effects of splenectomy on liver regeneration after 70% resection.pdf by Andrey Elchaninov (3122742)

“…Splenectomy also correlated with decreased rates of Ly6C+ monocyte and Ly6G+ leukocyte migration. …”

Data Sheet 1_Cellular effects of splenectomy on liver regeneration after 70% resection.pdf by Andrey Elchaninov (3122742)

“…Splenectomy also correlated with decreased rates of Ly6C+ monocyte and Ly6G+ leukocyte migration. …”

Table10_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. …”

Image 1_Regulation effect of seed priming on sowing rate of direct seeding of rice under salt stress.pdf by Yicheng Zhang (790286)

“…Our results demonstrated that under T1–T3, the germination rate, α-amylase activity, and soluble sugar and protein contents were significantly increased after priming treatments. The contents of reactive oxygen species (i.e., O₂⁻ and H₂O₂) and malondialdehyde (MDA) were decreased, while the activities of enzymatic antioxidants (i.e., superoxide dismutase, peroxidase, and catalase) and the K⁺/Na⁺ ratio of rice were significantly increased after the above seed priming treatments. …”