Search alternatives:
greater decrease » greatest decrease (Expand Search), greater increase (Expand Search), greater disease (Expand Search)
linear decrease » linear increase (Expand Search)
teer decrease » mean decrease (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
greater decrease » greatest decrease (Expand Search), greater increase (Expand Search), greater disease (Expand Search)
linear decrease » linear increase (Expand Search)
teer decrease » mean decrease (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
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1401
Table 6_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx
Published 2025“…</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. …”
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1402
Image 1_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.jpeg
Published 2025“…</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. …”
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1403
Table 1_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx
Published 2025“…</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. …”
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1404
Image 4_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.jpeg
Published 2025“…</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. …”
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1405
Table 7_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx
Published 2025“…</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. …”
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1406
Table 4_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx
Published 2025“…</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. …”
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1407
Table 5_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx
Published 2025“…</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. …”
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1408
Table 2_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx
Published 2025“…</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. …”
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1409
Image 3_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.jpeg
Published 2025“…</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. …”
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1410
Image 5_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.jpeg
Published 2025“…</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. …”
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1411
Table 3_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx
Published 2025“…</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. …”
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1412
Table 9_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx
Published 2025“…</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. …”
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1413
Table 8_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.xlsx
Published 2025“…</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. …”
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1414
Image 2_Single-cell transcriptomics reveals the heterogeneity and function of mast cells in human ccRCC.jpeg
Published 2025“…</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. …”
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1415
Table 1_Serum symmetric dimethylarginine concentrations in enalapril- or telmisartan-treated dogs with proteinuric chronic kidney disease.xlsx
Published 2024“…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).…”
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1416
<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>
Published 2025“…Landscape fragmentation significantly reduced carbon stocks, with the index of total area (TA) exhibiting the strongest positive linear effect. …”
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1417
<b>Comparison of NMR spectra of three layers</b>
Published 2024“…As the water saturation increases, the TPG of the core decreases, and the change becomes more pronounced when the water saturation exceeds 50%. …”
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1418
DataSheet1_Effects of pharmacogenomics-guided treatment on medication adherence and the antidepressant switching rate in major depressive disorder.docx
Published 2024“…The difference was also significant after 6 months (38.06% in the PGxT group vs. 24.84% in the TAU group; p < 0.001). …”
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1419
Table 1_Plant-based diets and total and cause-specific mortality: a meta-analysis of prospective studies.docx
Published 2025“…Participants in the highest quintile of both the PDI and hPDI had a significantly decreased risk of all-cause mortality (pooled HR<sub>PDI</sub> = 0.85; 95% CI: 0.80–0.90; pooled HR<sub>hPDI</sub> = 0.86; 95% CI: 0.81–0.92) compared to participants in the lowest quintile. …”
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1420
Image 2_Plant-based diets and total and cause-specific mortality: a meta-analysis of prospective studies.tif
Published 2025“…Participants in the highest quintile of both the PDI and hPDI had a significantly decreased risk of all-cause mortality (pooled HR<sub>PDI</sub> = 0.85; 95% CI: 0.80–0.90; pooled HR<sub>hPDI</sub> = 0.86; 95% CI: 0.81–0.92) compared to participants in the lowest quintile. …”