Table 2_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Table 1_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Image 2_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.tif by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Table 6_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Table 5_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Image 5_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.tif by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Image 1_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.tiff by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Figure 1 from Tracking Nongenetic Evolution from Primary to Metastatic ccRCC: TRACERx Renal by Ángel Fernández-Sanromán (20814476)

“…<b>E,</b> Schematic representation of a linear regression framework to identify correlates of within-patient expression changes in each of 14,120 genes, including <i>cis</i> effects of increased/decreased gene dosage and variation in purity. …”

Table 7_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Table 4_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Image 6_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.tif by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Image 4_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.tif by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Image 1_TSLP pretreatment inhibits M1 macrophage polarization and attenuates LPS-induced iNKT cell-dependent acute lung injury.pdf by Ting Zhou (38572)

“…To explore the molecular mechanisms of TSLP’s effect, analysis of transcriptome sequencing and single-cell transcriptome sequencing and subsequent experiments were performed.…”

Supplementary file 1_To assess the impact of individualized strategy and continuous glucose monitoring on glycemic control and mental health in pregnant women with diabetes.docx by Mengxue Liu (5953361)

“…</p>Results<p>FBG and 2hPBG significantly decreased post-intervention in both groups (P<0.001). …”

Table2_Impaired Mycobacterium tuberculosis-specific T-cell memory phenotypes and functional profiles among adults with type 2 diabetes mellitus in Uganda.xlsx by Phillip Ssekamatte (10217206)

“…</p>Results<p>Naïve CD4⁺ T cells were significantly decreased in the LTBI-DM compared to the LTBI-only participants [0.47 (0.34-0.69) vs 0.91 (0.59-1.05); (p<0.001)]. …”

Table1_Impaired Mycobacterium tuberculosis-specific T-cell memory phenotypes and functional profiles among adults with type 2 diabetes mellitus in Uganda.docx by Phillip Ssekamatte (10217206)

“…</p>Results<p>Naïve CD4⁺ T cells were significantly decreased in the LTBI-DM compared to the LTBI-only participants [0.47 (0.34-0.69) vs 0.91 (0.59-1.05); (p<0.001)]. …”

Image1_Impaired Mycobacterium tuberculosis-specific T-cell memory phenotypes and functional profiles among adults with type 2 diabetes mellitus in Uganda.jpeg by Phillip Ssekamatte (10217206)

“…</p>Results<p>Naïve CD4⁺ T cells were significantly decreased in the LTBI-DM compared to the LTBI-only participants [0.47 (0.34-0.69) vs 0.91 (0.59-1.05); (p<0.001)]. …”

Table 1_CD3zeta-mediated modulation of TCR signaling: a novel strategy for neuroprotection in retinal ganglion cell degeneration.docx by Kexin Xu (757891)

“…The neuroprotective effect of CD3ζ knockdown was accompanied by the restoration of MAPK signaling, specifically the phosphorylation of ERK and p38, and attenuation of NF-κB activation, indicated by decreased p65 phosphorylation. …”

Mexican warning label system. by Claudia Calderon (266352)

“…The effect of labels on healthfulness perception was strongest among parents with low to medium nutrition knowledge and no prior knowledge of NNS. …”

S1 Dataset - by Claudia Calderon (266352)

“…The effect of labels on healthfulness perception was strongest among parents with low to medium nutrition knowledge and no prior knowledge of NNS. …”