Image 11_Deciphering the oncogenic network: how C1QTNF1-AS1 modulates osteosarcoma through miR-34a-5p and glycolytic pathways.tif by Yu Zhang (12946)

“…</p>Results<p>The findings indicated a significant decrease in C1QTNF1-AS1 expression levels in OS cells compared to normal osteoblasts. …”

Image 12_Deciphering the oncogenic network: how C1QTNF1-AS1 modulates osteosarcoma through miR-34a-5p and glycolytic pathways.tif by Yu Zhang (12946)

“…</p>Results<p>The findings indicated a significant decrease in C1QTNF1-AS1 expression levels in OS cells compared to normal osteoblasts. …”

Image 9_Deciphering the oncogenic network: how C1QTNF1-AS1 modulates osteosarcoma through miR-34a-5p and glycolytic pathways.tif by Yu Zhang (12946)

“…</p>Results<p>The findings indicated a significant decrease in C1QTNF1-AS1 expression levels in OS cells compared to normal osteoblasts. …”

Table 9_Deciphering the oncogenic network: how C1QTNF1-AS1 modulates osteosarcoma through miR-34a-5p and glycolytic pathways.xlsx by Yu Zhang (12946)

“…</p>Results<p>The findings indicated a significant decrease in C1QTNF1-AS1 expression levels in OS cells compared to normal osteoblasts. …”

Table 1_Emodin induced hepatic steatosis in BALb/c mice by modulating the gut microbiota composition and fatty acid metabolism.xlsx by Xinhua Xia (14292524)

“…Furthermore, emodin exhibited a significant elevation in LPS levels in colon, serum and liver as well an marked increase in the levels of TC, TG, AST, and ALT in serum. …”

Data Sheet 1_Unlocking the adaptation mechanisms of the oleaginous microalga Scenedesmus sp. BHU1 under elevated salt stress: a physiochemical, lipidomics and transcriptomics appro... by Rahul Prasad Singh (20283954)

“…Our findings indicate that elevated salt stress decreases photosynthetic efficiency and increases non-regulated photochemical quenching of photosystem II (PSII). …”

S1 Graphical abstract - by Huimin Xian (20390006)

“…ROC analysis showed adding rSS_QFR into the model of clinical risk factors yielded a significant improvement in prediction of MACEs, especially in the DM cohort (AUC (95% CI) = 0.747 (0.675–0.819), <i>P</i> = 0.001) than in the nonDM cohort (AUC (95% CI) = 0.697 (0.602–0.791), <i>P</i> = 0.033). …”

Procedural characteristics. by Huimin Xian (20390006)

“…ROC analysis showed adding rSS_QFR into the model of clinical risk factors yielded a significant improvement in prediction of MACEs, especially in the DM cohort (AUC (95% CI) = 0.747 (0.675–0.819), <i>P</i> = 0.001) than in the nonDM cohort (AUC (95% CI) = 0.697 (0.602–0.791), <i>P</i> = 0.033). …”

Clinical characteristics. by Huimin Xian (20390006)

“…ROC analysis showed adding rSS_QFR into the model of clinical risk factors yielded a significant improvement in prediction of MACEs, especially in the DM cohort (AUC (95% CI) = 0.747 (0.675–0.819), <i>P</i> = 0.001) than in the nonDM cohort (AUC (95% CI) = 0.697 (0.602–0.791), <i>P</i> = 0.033). …”

Study flowchart. by Huimin Xian (20390006)

“…ROC analysis showed adding rSS_QFR into the model of clinical risk factors yielded a significant improvement in prediction of MACEs, especially in the DM cohort (AUC (95% CI) = 0.747 (0.675–0.819), <i>P</i> = 0.001) than in the nonDM cohort (AUC (95% CI) = 0.697 (0.602–0.791), <i>P</i> = 0.033). …”

Data. by Huimin Xian (20390006)

“…ROC analysis showed adding rSS_QFR into the model of clinical risk factors yielded a significant improvement in prediction of MACEs, especially in the DM cohort (AUC (95% CI) = 0.747 (0.675–0.819), <i>P</i> = 0.001) than in the nonDM cohort (AUC (95% CI) = 0.697 (0.602–0.791), <i>P</i> = 0.033). …”

Data Sheet 1_Intratumoral and fecal microbiota reveals microbial markers associated with gastric carcinogenesis.docx by Yiwen Wang (666361)

“…</p>Results<p>The α-diversity results indicated significant differences in the intratumoral microbiota of cancer patients compared to non-cancer patients, while no significant differences were observed in the fecal microbiota. …”

Table 1_Gender differences in the association between sleep duration and diabetes in Chinese adults.docx by Haiyan Yu (356393)

“…For men, risk for new-onset diabetes decreased significantly with increasing sleep duration only among participants < 60 years. …”

Data Sheet 1_Gender differences in the association between sleep duration and diabetes in Chinese adults.docx by Haiyan Yu (356393)

“…For men, risk for new-onset diabetes decreased significantly with increasing sleep duration only among participants < 60 years. …”

Image 2_Spatial deciphering of the transcriptomic heterogeneity of tumor spread through air spaces in lung cancer.tif by Wenhao Wang (515852)

“…Meanwhile, an increase in CD4 T memory cells and a decrease in B cells were observed in the tumor immune microenvironment of STAS. …”

Image 4_Spatial deciphering of the transcriptomic heterogeneity of tumor spread through air spaces in lung cancer.tif by Wenhao Wang (515852)

“…Meanwhile, an increase in CD4 T memory cells and a decrease in B cells were observed in the tumor immune microenvironment of STAS. …”

raw data of "Helicobacter hepaticus promotes hepatic steatosis through CdtB-induced mitochondrial stress and lipid metabolism reprogramming" by Quan Zhang (20376574)

“…Furthermore, we identify that CdtB translocates to mitochondria with the assistance of Hsp90, leading to a decrease in the activity of mitochondrial respiratory complex V due to its interaction with ATP5A1. …”

Data Sheet 1_Spatial deciphering of the transcriptomic heterogeneity of tumor spread through air spaces in lung cancer.zip by Wenhao Wang (515852)

“…Meanwhile, an increase in CD4 T memory cells and a decrease in B cells were observed in the tumor immune microenvironment of STAS. …”

Image 1_Spatial deciphering of the transcriptomic heterogeneity of tumor spread through air spaces in lung cancer.tif by Wenhao Wang (515852)

“…Meanwhile, an increase in CD4 T memory cells and a decrease in B cells were observed in the tumor immune microenvironment of STAS. …”

Image 3_Spatial deciphering of the transcriptomic heterogeneity of tumor spread through air spaces in lung cancer.tif by Wenhao Wang (515852)

“…Meanwhile, an increase in CD4 T memory cells and a decrease in B cells were observed in the tumor immune microenvironment of STAS. …”