Table 8_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx by Xiyu Song (14914467)

“…MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”

Image 2_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.jpeg by Xiyu Song (14914467)

“…MC density was significantly greater in ccRCC tissues than in normal tissues, but MC activation characteristics were not significantly different between ccRCC and normal tissues. …”

Temporal dynamics of aquatic insects and oligochaetes in tropical springs by Luiza Pedrosa Guimarães (18157480)

“…Seasonality and predictability were high for both climate variables: accumulated rainfall and average air temperature. We found a greater abundance of macroinvertebrates in the dry period, mostly due to the increase in aquatic insects following a decrease in the abundance of oligochaetes. …”

Table 1_Genomic and phenotypic characterization of two novel human-derived Limosilactobacillus reuteri strains with unique probiotic traits.docx by Lijuan Yang (1538233)

“…In co-culture with LS174T cells, both strains decrease the production of Mucin-2, a key component of the gut barrier, with LLR2 showing significantly greater efficacy. …”

Data Sheet 1_Association of the dietary index for gut microbiota with sleep disorder among US adults: the mediation effect of dietary inflammation index.docx by Yingying Li (50341)

“…Additionally, there was a trend toward a decrease in the prevalence of sleep disorders with increasing DI-GM (trend p < 0.05). …”

Table3_Multi-omics analysis provides insights into the mechanism underlying fruit color formation in Capsicum.docx by Zhao Song (7135202)

“…In this study, the light-yellow color observed in immature CSJ009 fruits compared to CSJ010 could be attributed to decreased chlorophyll and carotenoid pigments. Through integrated analysis of the transcriptome and metabolome of CSJ009 and CSJ010, we identified 23,930 differentially expressed genes (DEGs) and 345 differentially accumulated metabolites (DAMs). …”

Table2_Multi-omics analysis provides insights into the mechanism underlying fruit color formation in Capsicum.xlsx by Zhao Song (7135202)

“…In this study, the light-yellow color observed in immature CSJ009 fruits compared to CSJ010 could be attributed to decreased chlorophyll and carotenoid pigments. Through integrated analysis of the transcriptome and metabolome of CSJ009 and CSJ010, we identified 23,930 differentially expressed genes (DEGs) and 345 differentially accumulated metabolites (DAMs). …”

Image 1_Effects of ultraviolet radiation as a climate variable on the geographic distribution of Oryza sativa under climate change based on Biomod2.tif by Rulin Wang (4814577)

“…The ROC value of the joint model is greater than 0.95, indicating that the model has high reliability and accuracy. …”

Table7_Multi-omics analysis provides insights into the mechanism underlying fruit color formation in Capsicum.docx by Zhao Song (7135202)

“…In this study, the light-yellow color observed in immature CSJ009 fruits compared to CSJ010 could be attributed to decreased chlorophyll and carotenoid pigments. Through integrated analysis of the transcriptome and metabolome of CSJ009 and CSJ010, we identified 23,930 differentially expressed genes (DEGs) and 345 differentially accumulated metabolites (DAMs). …”

Table5_Multi-omics analysis provides insights into the mechanism underlying fruit color formation in Capsicum.docx by Zhao Song (7135202)

“…In this study, the light-yellow color observed in immature CSJ009 fruits compared to CSJ010 could be attributed to decreased chlorophyll and carotenoid pigments. Through integrated analysis of the transcriptome and metabolome of CSJ009 and CSJ010, we identified 23,930 differentially expressed genes (DEGs) and 345 differentially accumulated metabolites (DAMs). …”

Table4_Multi-omics analysis provides insights into the mechanism underlying fruit color formation in Capsicum.xlsx by Zhao Song (7135202)

“…In this study, the light-yellow color observed in immature CSJ009 fruits compared to CSJ010 could be attributed to decreased chlorophyll and carotenoid pigments. Through integrated analysis of the transcriptome and metabolome of CSJ009 and CSJ010, we identified 23,930 differentially expressed genes (DEGs) and 345 differentially accumulated metabolites (DAMs). …”

Table1_Multi-omics analysis provides insights into the mechanism underlying fruit color formation in Capsicum.xlsx by Zhao Song (7135202)

“…In this study, the light-yellow color observed in immature CSJ009 fruits compared to CSJ010 could be attributed to decreased chlorophyll and carotenoid pigments. Through integrated analysis of the transcriptome and metabolome of CSJ009 and CSJ010, we identified 23,930 differentially expressed genes (DEGs) and 345 differentially accumulated metabolites (DAMs). …”

Image3_Multi-omics analysis provides insights into the mechanism underlying fruit color formation in Capsicum.tif by Zhao Song (7135202)

“…In this study, the light-yellow color observed in immature CSJ009 fruits compared to CSJ010 could be attributed to decreased chlorophyll and carotenoid pigments. Through integrated analysis of the transcriptome and metabolome of CSJ009 and CSJ010, we identified 23,930 differentially expressed genes (DEGs) and 345 differentially accumulated metabolites (DAMs). …”

Table6_Multi-omics analysis provides insights into the mechanism underlying fruit color formation in Capsicum.xlsx by Zhao Song (7135202)

“…In this study, the light-yellow color observed in immature CSJ009 fruits compared to CSJ010 could be attributed to decreased chlorophyll and carotenoid pigments. Through integrated analysis of the transcriptome and metabolome of CSJ009 and CSJ010, we identified 23,930 differentially expressed genes (DEGs) and 345 differentially accumulated metabolites (DAMs). …”

Image1_Multi-omics analysis provides insights into the mechanism underlying fruit color formation in Capsicum.tif by Zhao Song (7135202)

“…In this study, the light-yellow color observed in immature CSJ009 fruits compared to CSJ010 could be attributed to decreased chlorophyll and carotenoid pigments. Through integrated analysis of the transcriptome and metabolome of CSJ009 and CSJ010, we identified 23,930 differentially expressed genes (DEGs) and 345 differentially accumulated metabolites (DAMs). …”

Data Sheet 1_Global, regional, and national disease burden of tobacco-related Alzheimer’s disease among individuals over the age of 55: a global burden of disease study.docx by Tianyi Dong (8060000)

“…The disease burden among men was significantly higher than of among women, approximately three times greater. …”

Image2_Multi-omics analysis provides insights into the mechanism underlying fruit color formation in Capsicum.tif by Zhao Song (7135202)

“…In this study, the light-yellow color observed in immature CSJ009 fruits compared to CSJ010 could be attributed to decreased chlorophyll and carotenoid pigments. Through integrated analysis of the transcriptome and metabolome of CSJ009 and CSJ010, we identified 23,930 differentially expressed genes (DEGs) and 345 differentially accumulated metabolites (DAMs). …”

Restriction of mitochondrial oxidation of glutamine or fatty acids enhances intracellular growth of <i>Mycobacterium abscessus</i> in macrophages by Ho Won Kim (18237328)

“…Mab infection shifted BMDMs towards a more energetic phenotype, marked by increased oxidative phosphorylation (OXPHOS) and glycolysis, with a significantly greater enhancement in OXPHOS. This metabolic adaptation was characterized by enhanced ATP production rates, particularly in cells infected with S-type Mab, highlighting OXPHOS as a key energy source. …”

Supplementary Material for: Global, regional, and national burden of brain and central nervous system cancers for males from 1990 to 2021 and its predicted level in the next 25 yea... by Maimaiti A. (19938294)

“…Prevalence was assessed with DisMod-MR, trends via cluster analysis, and Estimated Annual Percentage Change (EAPC) calculated via linear regression. Forecasts for 2022-2044 used APC and BAPC models, with a P-value < 0.05 considered significant. …”

Table 1_Emergency department utilization among youth in foster care: benefits of a patient-centered medical home.pdf by Nicholas Szoko (11260475)

“…Frequency of ED utilization was calculated before, during, and after involvement in the PCMH. We used Poisson generalized linear mixed models to examine associations between each time period (before, during, or after) and the frequency of ED visits, adjusting for age, sex, and race/ethnicity. …”