Image 4_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.jpeg by Xiyu Song (14914467)

“…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). 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. …”

Table 7_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx by Xiyu Song (14914467)

“…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). 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. …”

Table 4_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx by Xiyu Song (14914467)

“…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). 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. …”

Table 5_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx by Xiyu Song (14914467)

“…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). 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. …”

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

“…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). 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 3_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.jpeg by Xiyu Song (14914467)

“…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). 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 5_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.jpeg by Xiyu Song (14914467)

“…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). 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. …”

Table 3_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx by Xiyu Song (14914467)

“…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). 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. …”

Table 9_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx by Xiyu Song (14914467)

“…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). 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. …”

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

“…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). 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)

“…</p>Results<p>We identified four MC signature genes (TPSB2, TPSAB1, CPA3, and HPGDS). 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. …”

Table 1_Serum symmetric dimethylarginine concentrations in enalapril- or telmisartan-treated dogs with proteinuric chronic kidney disease.xlsx by Amirah Nasr (20394893)

“…Percentage and absolute changes in these biomarkers were calculated for each dog and time point. A linear mixed model was used to test whether changes significantly differed from zero (α < 0.05).…”

<b>Data from：The Correlation Between Blue Carbon Storage and Landscape Fragmentation: A Micro-Scale Perspective on Two Decades of Coastal Wetland Change in China</b> by Er Yu (22753181)

“…Landscape fragmentation significantly reduced carbon stocks, with the index of total area (TA) exhibiting the strongest positive linear effect. …”

<b>Comparison of NMR spectra of three layers</b> by wenxin yan (19933998)

“…As the water saturation increases, the TPG of the core decreases, and the change becomes more pronounced when the water saturation exceeds 50%. …”

DataSheet1_Effects of pharmacogenomics-guided treatment on medication adherence and the antidepressant switching rate in major depressive disorder.docx by Chaoli Chen (20359785)

“…The difference was also significant after 6 months (38.06% in the PGxT group vs. 24.84% in the TAU group; p < 0.001). …”

Table 1_Plant-based diets and total and cause-specific mortality: a meta-analysis of prospective studies.docx by Qiwang Mo (9091292)

“…Participants in the highest quintile of both the PDI and hPDI had a significantly decreased risk of all-cause mortality (pooled HR_PDI = 0.85; 95% CI: 0.80–0.90; pooled HR_hPDI = 0.86; 95% CI: 0.81–0.92) compared to participants in the lowest quintile. …”

Image 2_Plant-based diets and total and cause-specific mortality: a meta-analysis of prospective studies.tif by Qiwang Mo (9091292)

“…Participants in the highest quintile of both the PDI and hPDI had a significantly decreased risk of all-cause mortality (pooled HR_PDI = 0.85; 95% CI: 0.80–0.90; pooled HR_hPDI = 0.86; 95% CI: 0.81–0.92) compared to participants in the lowest quintile. …”

Image 1_Plant-based diets and total and cause-specific mortality: a meta-analysis of prospective studies.tif by Qiwang Mo (9091292)

“…Participants in the highest quintile of both the PDI and hPDI had a significantly decreased risk of all-cause mortality (pooled HR_PDI = 0.85; 95% CI: 0.80–0.90; pooled HR_hPDI = 0.86; 95% CI: 0.81–0.92) compared to participants in the lowest quintile. …”

Table 2_Association between the newly proposed dietary index for gut microbiota and thyroid function: NHANES 2007–2012.docx by Ke Peng (2220973)

“…Smooth curve fitting analysis confirmed a linear relationship between DI-GM and FT3, FT4, and TT4 levels. …”

Table 1_Association between the newly proposed dietary index for gut microbiota and thyroid function: NHANES 2007–2012.docx by Ke Peng (2220973)

“…Smooth curve fitting analysis confirmed a linear relationship between DI-GM and FT3, FT4, and TT4 levels. …”