Table 1_Effect of Lactobacillus rhamnosus AB-GG combined with phototherapy on neonatal jaundice indicators, intestinal microbiota and metabolism.docx by Yanhan Yuan (21014246)

“…However, phototherapy had no significant effect on beta (β) diversity between experimental and control groups. …”

Data Sheet 1_Combination of MLo-1508 with sunitinib for the experimental treatment of papillary renal cell carcinoma.docx by Ângela Marques-Magalhães (20924831)

“…We found that MLo-1508 significantly decreased RCC cell viability while inducing apoptosis in a dose-dependent manner without cytotoxicity for non-malignant cells. …”

Data Sheet 5_Identification of nasopharyngeal microbial dysbiosis in COVID-19 patients by 16S rRNA gene sequencing.xls by Filippos S. Kardaras (18330696)

“…Microbiome profiling was performed using 16S rRNA gene-targeted metagenomic sequencing, followed by comprehensive bioinformatics and statistical analyses.</p>Results<p>Significant differences were observed in both alpha and beta diversity measures, with alpha diversity decreasing as the severity of COVID-19 increased. …”

Data Sheet 2_Identification of nasopharyngeal microbial dysbiosis in COVID-19 patients by 16S rRNA gene sequencing.xls by Filippos S. Kardaras (18330696)

“…Microbiome profiling was performed using 16S rRNA gene-targeted metagenomic sequencing, followed by comprehensive bioinformatics and statistical analyses.</p>Results<p>Significant differences were observed in both alpha and beta diversity measures, with alpha diversity decreasing as the severity of COVID-19 increased. …”

Supplementary file 1_Identification of nasopharyngeal microbial dysbiosis in COVID-19 patients by 16S rRNA gene sequencing.docx by Filippos S. Kardaras (18330696)

“…Microbiome profiling was performed using 16S rRNA gene-targeted metagenomic sequencing, followed by comprehensive bioinformatics and statistical analyses.</p>Results<p>Significant differences were observed in both alpha and beta diversity measures, with alpha diversity decreasing as the severity of COVID-19 increased. …”

Data Sheet 4_Identification of nasopharyngeal microbial dysbiosis in COVID-19 patients by 16S rRNA gene sequencing.xls by Filippos S. Kardaras (18330696)

“…Microbiome profiling was performed using 16S rRNA gene-targeted metagenomic sequencing, followed by comprehensive bioinformatics and statistical analyses.</p>Results<p>Significant differences were observed in both alpha and beta diversity measures, with alpha diversity decreasing as the severity of COVID-19 increased. …”

Data Sheet 1_Identification of nasopharyngeal microbial dysbiosis in COVID-19 patients by 16S rRNA gene sequencing.xls by Filippos S. Kardaras (18330696)

“…Microbiome profiling was performed using 16S rRNA gene-targeted metagenomic sequencing, followed by comprehensive bioinformatics and statistical analyses.</p>Results<p>Significant differences were observed in both alpha and beta diversity measures, with alpha diversity decreasing as the severity of COVID-19 increased. …”

Data Sheet 3_Identification of nasopharyngeal microbial dysbiosis in COVID-19 patients by 16S rRNA gene sequencing.xls by Filippos S. Kardaras (18330696)

“…Microbiome profiling was performed using 16S rRNA gene-targeted metagenomic sequencing, followed by comprehensive bioinformatics and statistical analyses.</p>Results<p>Significant differences were observed in both alpha and beta diversity measures, with alpha diversity decreasing as the severity of COVID-19 increased. …”

Conditional Trhn OE in adult glia induces EB experience-dependent 5-HT up-regulation and pruning. by Vanessa Kay Miller (19775496)

“…Individual data points are shown with mean ± SEM. Significance is indicated as <i>p</i> < 0.0001 (****), <i>p</i> < 0.05 (*), and <i>p</i> > 0.05 (not significant, ns). …”

Data Sheet 1_An oral M-cell targeted Lactococcus lactis vaccine against Echinococcus multilocularis infection.pdf by Yang Xiao (146335)

“…For both primary and secondary infections, oral immunization with LL-plSAM-GILE led to a significant decrease in the diameter and weight of hepatic cysts.…”

Table 1_Elucidating the effects of nine-steaming-nine-drying on the morphology, metabolomic profile, and active ingredients of Polygonatum sibiricum Redouté.xls by Rui Wang (52434)

“…</p>Results<p>Through non-targeted metabolomics analysis, 685 metabolites were identified, with 492 showing differential abundance, particularly amino acids and derivatives, lipids, carbohydrates, and phenols or flavonoids. These alterations resulted in darker coloration, as evidenced by a significant decrease in L* values, elimination of tongue-numbing effects, enhanced sweetness, and improved quality of P. sibiricum Red. …”

DataSheet1_Glioma-associated oncogene homolog 1 in breast invasive carcinoma: a comprehensive bioinformatic analysis and experimental validation.docx by Teng Qi (278739)

“…</p>Results<p>The findings reveal dysregulated expression of GLI1 in numerous cancers, with a significant decrease observed in BRCA. High GLI1 expression indicated better survival outcomes and was correlated with the age and stage of BRCA patients. …”

Data Sheet 1_Impact of primary production and net ecosystem metabolism on carbon and nutrient cycling at the land-sea interface.docx by Louise C. V. Rewrie (21016172)

“…Despite the high nutrient concentrations and estimated GPP rates, the system was in near trophic balance, with seasonally averaged NEM estimates of -2 ± 49 mg C m^-2 d^-1 and -149 ± 41 mg C m^-2 d^-1. A significant finding is that a seasonal decrease in dissolved inorganic carbon of 125 – 160 µmol kg^-1 from May to September, and in total alkalinity of 116 – 128 µmol kg^-1 from December to August, was likely driven by the concurrent and significant seasonal uptake of inorganic carbon by primary producers in the upper estuary and upstream regions. …”

Regional differences in cholinergic sweating in the lower limb by Tatsuro Amano (19855662)

“…Sweat rate at the forearm (all <i>P</i> ≥ 0.265) and foot (all <i>P</i> ≥ 0.077) did not differ significantly across age groups. However, thigh sweat rate declined with age: reductions were observed in the posterior thigh from the 50s (<i>P</i> ≤ 0.004) and in the anterior thigh in the 60s (<i>P</i> ≤ 0.036). …”

[A] Histopathological images of pancreas, liver, kidney, and heart tissues from the studied rat groups, stained with H&E. by Mohamed Lotfy (18599184)

“…The values are presented as mean ± SEM. ^# Indicates significant difference (P ≤ 0.05) between the untreated diabetic group and the control group. * Indicates a significant difference (P ≤ 0.05) between the C. lancifolius-treated or crocin-treated diabetic group and the untreated diabetic group. …”

Table 6_Integrated analysis of microbiome and metabolome reveals insights into cervical neoplasia aggravation in a Chinese cohort.xlsx by Qingzhi Zhai (21265412)

“…</p>Methods<p>In this study, cervical swab samples from 53 healthy controls, 51 high-grade squamous intraepithelial lesion (HSIL), and 52 CC patients were subjected to 16S rDNA sequencing and metabolomics analysis.</p>Results<p>We observed significant differences in the cervical microbiota between CC patients and healthy controls or HSIL groups. …”

Image 1_Integrated analysis of microbiome and metabolome reveals insights into cervical neoplasia aggravation in a Chinese cohort.tif by Qingzhi Zhai (21265412)

“…</p>Methods<p>In this study, cervical swab samples from 53 healthy controls, 51 high-grade squamous intraepithelial lesion (HSIL), and 52 CC patients were subjected to 16S rDNA sequencing and metabolomics analysis.</p>Results<p>We observed significant differences in the cervical microbiota between CC patients and healthy controls or HSIL groups. …”

Image 2_Integrated analysis of microbiome and metabolome reveals insights into cervical neoplasia aggravation in a Chinese cohort.tif by Qingzhi Zhai (21265412)

“…</p>Methods<p>In this study, cervical swab samples from 53 healthy controls, 51 high-grade squamous intraepithelial lesion (HSIL), and 52 CC patients were subjected to 16S rDNA sequencing and metabolomics analysis.</p>Results<p>We observed significant differences in the cervical microbiota between CC patients and healthy controls or HSIL groups. …”

Table 3_Integrated analysis of microbiome and metabolome reveals insights into cervical neoplasia aggravation in a Chinese cohort.xlsx by Qingzhi Zhai (21265412)

“…</p>Methods<p>In this study, cervical swab samples from 53 healthy controls, 51 high-grade squamous intraepithelial lesion (HSIL), and 52 CC patients were subjected to 16S rDNA sequencing and metabolomics analysis.</p>Results<p>We observed significant differences in the cervical microbiota between CC patients and healthy controls or HSIL groups. …”

Table 5_Integrated analysis of microbiome and metabolome reveals insights into cervical neoplasia aggravation in a Chinese cohort.xlsx by Qingzhi Zhai (21265412)

“…</p>Methods<p>In this study, cervical swab samples from 53 healthy controls, 51 high-grade squamous intraepithelial lesion (HSIL), and 52 CC patients were subjected to 16S rDNA sequencing and metabolomics analysis.</p>Results<p>We observed significant differences in the cervical microbiota between CC patients and healthy controls or HSIL groups. …”