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Image Search Results
Journal: Biology
Article Title: Three Circulating miRNAs Related to Non-Small-Cell Lung Cancer Progression: An Integrative Analysis of Their Biological Roles
doi: 10.3390/biology14040399
Figure Lengend Snippet: Expression levels of 10 potential miRNA biomarkers in non-small-cell lung cancer (NSCLC) tumors and adjacent normal tissues. ( A ) PCA graph showing multidimensional scaling of 45 pairs of LUAD tumors and adjacent normal tissues from the TCGA dataset based on 6 miRNAs (hsa-miR-26a-5p, hsa-miR-126-5p, hsa-miR-139-5p, hsa-miR-152-3p, hsa-miR-451a, and hsa-miR-200c-3p). ( B ) A total of 44 pairs of lung LUSC tumors and adjacent normal tissues from the TCGA dataset clustered separately based on the expression status of 8 miRNAs (hsa-miR-26a-5p, hsa-miR-126-5p, hsa-miR-139-5p, hsa-miR-151a-3p, hsa-miR-151a-5p, hsa-miR-151b, hsa-miR-152-3p, and hsa-miR-550a-3p). ( C ) Volcano plot illustrating the expression levels of 2213 miRNAs in 45 LUAD tumors and 45 adjacent normal tissues. ( D ) Profiling of 2219 miRNAs in 44 LUSC tumors and 44 adjacent normal tissues. ( E , F ) Fold change of 10 circulating miRNAs in LUAD and LUSC in TCGA. ( G ) Volcano plot showing 1888 miRNA expression profiles obtained from 397 patients with NSCLC and 151 corresponding adjacent normal tissues in GSE53882 dataset (frozen samples). ( H ) Profiling of 858 miRNAs in matched lung adenocarcinoma and uninvolved lung tissues using 56 pairs of fresh-frozen samples from never smokers in the GSE36681 dataset. ( I ) Profiling of 818 miRNas in 187 primary lung cancers and 174 corresponding adjacent normal lung tissues collected a minimum of 5 cm from the tumor in the GSE15008 dataset. ( J – L ) Expression levels of hsa-miR-451a, hsa-miR-139-5p and hsa-miR-126-5p in the GSE53882 dataset. ( M – O ) Expression levels of hsa-miR-451a, hsa-miR-139-5p and hsa-miR-126-5p in the GSE36681 dataset. ( P – R ) Expression levels of hsa-miR-451a, hsa-miR-139-5p and hsa-miR-126-5p in the GSE15008 dataset. Bar charts represent the mean ± SE, and Student’s t -test was used for statistical analysis.
Article Snippet: Comparisons of miRNA expressions in tissues were executed through a two-tailed Student’s
Techniques: Expressing
Journal: Biology
Article Title: Three Circulating miRNAs Related to Non-Small-Cell Lung Cancer Progression: An Integrative Analysis of Their Biological Roles
doi: 10.3390/biology14040399
Figure Lengend Snippet: miRNA overexpression interferes with the proliferation of A549 cells. ( A ) A549 cells were transfected with miRNA mimics to overexpress miRNAs, and the miRNA expression levels were quantified by RT-qPCR. ( B ) Proliferation rates of A549 cells were assessed using the EdU incorporation assay. ( C ) Representative images of the EdU assay comparing miRNA mimics and control mimics. Bar charts represent the mean ± standard deviation, and statistical analysis was performed using Student’s t -test. All the tests were repeated 3~4 times.
Article Snippet: Comparisons of miRNA expressions in tissues were executed through a two-tailed Student’s
Techniques: Over Expression, Transfection, Expressing, Quantitative RT-PCR, EdU Assay, Control, Standard Deviation
Journal: Biology
Article Title: Three Circulating miRNAs Related to Non-Small-Cell Lung Cancer Progression: An Integrative Analysis of Their Biological Roles
doi: 10.3390/biology14040399
Figure Lengend Snippet: miRNA overexpression affects the migration of A549 cells. ( A ) The migration rate was assessed using a wound healing assay. ( B ) Representative images showing the average distance between wound edges at 0 h and 48 h. Bar charts represent the mean ± standard deviation, and statistical analysis was conducted using Student’s t -test. All experiments were repeated 3–4 times.
Article Snippet: Comparisons of miRNA expressions in tissues were executed through a two-tailed Student’s
Techniques: Over Expression, Migration, Wound Healing Assay, Standard Deviation