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Applygen Technologies
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Nanjing Jiancheng Bioengineering Research Institute Co Ltd
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Nanjing Jiancheng Bioengineering Research Institute Co Ltd
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Abbott Laboratories
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Applygen Technologies
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Journal: iScience
Article Title: Integration of GWAS and eQTL analysis reveals regulatory CNVs for fatty acid traits in cattle
doi: 10.1016/j.isci.2026.116180
Figure Lengend Snippet: Results of functional validation experiments on target genes AGPAT3 and ECHDC3 in adipocytes (A) qPCR results of expression levels of 16 lipid metabolism-related genes. mRNA expression of the target genes was significantly knocked down by approximately 90% in all three transfection groups. The expression of FABP4 , FASN , ADIPOR1 , and CEBPα was significantly elevated in the si- AGPAT3 group, especially FABP4 and ADIPOR1 (∗ p < 0.05 by Student’s t test). (B) Comparison results of the triglyceride content between the two target gene knockdown groups and the control group. Triglyceride quantification revealed that triglyceride levels were significantly higher in all three knockdown groups than in the control group (∗ p < 0.05 by Dunnett’s test). (C–F) Comparison results of four fatty acids content (C18:0, C18:2, C22:0, and C22:6) between the two target gene knockdown groups and the control group. Fatty acid profiling showed that both AGPAT3 and ECHDC3 knockdown significantly suppressed the accumulation of most fatty acids, including C18:0, C18:2, and C22:6 (∗ p < 0.05 by Dunnett’s test). Four groups were included: si-NC (negative control, white), si- AGPAT3 (red), si- ECHDC3 (green), and si-A3+si-E3 (double knockdown, blue) ( n = 3 technical replicates from 4 biological replicates for each transfection group). Data are represented as the mean ± SEM.
Article Snippet:
Techniques: Functional Assay, Biomarker Discovery, Expressing, Transfection, Comparison, Knockdown, Control, Negative Control
Journal: International Dental Journal
Article Title: Obesity as a Determinant of Periodontal Therapy Outcomes: Insights on Oxidative and Endoplasmic Reticulum Stress Pathways
doi: 10.1016/j.identj.2026.109472
Figure Lengend Snippet: Heatmap of Pearson’s correlation coefficient matrix depicting the strength of relationships between percentage of change in periodontal parameters, anthropometric indices, and biochemical parameters, before and after non-surgical periodontal treatment. Negative correlations are in blue, while positive correlations are in red. The darker the tone, the stronger the correlation. ∗ P < .05, ∗∗ P < .01, ∗∗∗ P < .001. % BOP, percentage of change of bleeding on probing; % CAL, percentage of change of clinical attachment level; % Calculus I., percentage of change of calculus index; % PISA, percentage of change of periodontal inflamed surface area; % PPD, percentage of change of probing pocket depth; % Plaque I., percentage of change of plaque index; ANC, absolute neutrophil count; BMI, body mass index; C3c, complement factor C3; DBP, diastolic blood pressure; HDLc, high-density lipoprotein cholesterol; HOMA-IR, homeostasis model assessment of insulin resistance; hsCRP, high-sensitivity C-reactive protein; LDLc, low-density lipoprotein cholesterol; TC, Total cholesterol TG, Triglycerides; SBP, Systolic blood pressure.
Article Snippet: Serum glucose, total cholesterol (TC), and
Techniques: