Image 2_Differential Ca2+ handling by isolated synaptic and non-synaptic mitochondria: roles of Ca2+ buffering and efflux.tif by Jyotsna Mishra (3703195)

“…When both mitochondrial fractions were exposed to increasing mCa²⁺ loads we observed decreased mCa²⁺ sequestration in synaptic mitochondria as assessed by a significant increase in the steady-state free extra matrix Ca²⁺ (ss[Ca²⁺]_e) compared to non-synaptic mitochondria. …”

Image 3_Differential Ca2+ handling by isolated synaptic and non-synaptic mitochondria: roles of Ca2+ buffering and efflux.tif by Jyotsna Mishra (3703195)

“…When both mitochondrial fractions were exposed to increasing mCa²⁺ loads we observed decreased mCa²⁺ sequestration in synaptic mitochondria as assessed by a significant increase in the steady-state free extra matrix Ca²⁺ (ss[Ca²⁺]_e) compared to non-synaptic mitochondria. …”

Supporting data for "DECODING THE NEUROIMMUNE AXIS OF HEAD AND NECK CANCER TO ENHANCE IMMUNOTHERAPEUTIC OUTCOMES" by Ravi Kishan (11263155)

“…Genetic ablation of PTHLH resulted in dysregulation of neurotrophic signaling pathways essential for intra-tumoral innervation, significant reduction in tumor burden, and enhanced antitumor immunity —evidenced by increased CD8+ and CD4+ T cell infiltration, as well as decreased immunosuppressive markers. …”

AjMLKL is involved in 10⁸ CFU/mL AJ01 induced lytic coelomocyte death independent on its phosphorylation. by Kaiyu Chen (11691918)

“…Coelomocyte viability was significantly increased (L), and coelomocytes plasma membrane disruption (M) and the percentage of Annexin V+/PI+ coelomocytes significantly decreased (N). …”

Table2_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…Background<p>Polycystic ovary syndrome (PCOS) is a complex endocrine disorder with various contributing factors. …”

Table13_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…Background<p>Polycystic ovary syndrome (PCOS) is a complex endocrine disorder with various contributing factors. …”

Table12_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…Background<p>Polycystic ovary syndrome (PCOS) is a complex endocrine disorder with various contributing factors. …”

Table3_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…Background<p>Polycystic ovary syndrome (PCOS) is a complex endocrine disorder with various contributing factors. …”

Table9_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…Background<p>Polycystic ovary syndrome (PCOS) is a complex endocrine disorder with various contributing factors. …”

Image1_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.tif by Yifang He (18126257)

“…Background<p>Polycystic ovary syndrome (PCOS) is a complex endocrine disorder with various contributing factors. …”

Table7_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…Background<p>Polycystic ovary syndrome (PCOS) is a complex endocrine disorder with various contributing factors. …”

Table6_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…Background<p>Polycystic ovary syndrome (PCOS) is a complex endocrine disorder with various contributing factors. …”

Table11_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…Background<p>Polycystic ovary syndrome (PCOS) is a complex endocrine disorder with various contributing factors. …”

Data Sheet 1_Metformin upregulates circadian gene PER2 to inhibit growth and enhance the sensitivity of glioblastoma cell lines to radiotherapy via SIRT2/G6PD pathway.docx by Hailiang Li (740080)

“…Meanwhile, NADPH+ production and G6PDH enzyme activity significantly decreased. Further study validated that metformin inhibited the cell growth of GBM cell lines through up-regulating PER2 and inhibited SIRT2/G6PD signaling pathway, enhancing radiotherapy(RT) sensitivity. …”

Table8_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…Background<p>Polycystic ovary syndrome (PCOS) is a complex endocrine disorder with various contributing factors. …”

Table5_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…Background<p>Polycystic ovary syndrome (PCOS) is a complex endocrine disorder with various contributing factors. …”

Table10_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…Background<p>Polycystic ovary syndrome (PCOS) is a complex endocrine disorder with various contributing factors. …”

Table1_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…Background<p>Polycystic ovary syndrome (PCOS) is a complex endocrine disorder with various contributing factors. …”

Data sources and descriptions. by Zeduo Zou (21672789)

“…As the results show, during the study period: (1) Temporal Trends: annual PM2.5 concentrations exhibited significant declines, with BTH decreasing from 1004.71 μg/m³ (2006) to 528 μg/m³ (2020), YRD from 1434.81 μg/m³ (2008) to 621 μg/m³, and PRD from 405.02 μg/m³ (2007) to 292 μg/m³. …”

Table 1_Glucose and lipid metabolism in non-diabetic, non-obese patients with obstructive sleep apnea: sex differences.docx by Yuhan Wang (595964)

“…The high-density lipoprotein cholesterol (HDL-C) level in OSA participants was significantly lower (0.99 vs. 1.12 mmol/L, p = 0.036), and the triglyceride-glucose (TyG) index was significantly higher (8.74 vs. 8.45, p = 0.016), while there was no significant difference in the levels of total cholesterol, low-density lipoprotein cholesterol (LDL-C), and non-HDL-C. …”