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Image Search Results
Journal: Oncotarget
Article Title: Folic acid phenotype (FAP) is a superior biomarker predicting response to pemetrexed-based chemotherapy in malignant pleural mesothelioma
doi: 10.18632/oncotarget.16398
Figure Lengend Snippet: In MPM, folic acid and antifolates get taken up into the cell by the reduced folate carrier ( SLC19A1 ). The intracellular activation of antifolates is performed by polyglutamylation, catalyzed by the folylpolyglutamate synthase ( FPGS ). These active folates get implemented to the folic acid cycle by the dihydrofolate reductase ( DHFR ) and further on furnished to different cellular processes. Catalytic efficacy of the folic acid cycle is set by the thymidylate synthethase ( TYMS ).
Article Snippet: Evaluation was carried out with commercial TaqMan ® Gene Expression-assays (Applied Biosystems ® , Foster City, CA, USA; TYMS : Hs00426586_m1, GAPDH : Hs00266705_g1, ACTB : Hs01060665_g1, SLC19A1 : Hs00953344_m1, FPGS :
Techniques: Activation Assay
Journal: Oncotarget
Article Title: Folic acid phenotype (FAP) is a superior biomarker predicting response to pemetrexed-based chemotherapy in malignant pleural mesothelioma
doi: 10.18632/oncotarget.16398
Figure Lengend Snippet: In (A) , the SLC19A1 / TYMS ratio is shown, leading to prolonged 3-year survival if the receptor activation is prevailing. Furthermore, a shift towards antifolate activation demonstrated by the FPGS / TYMS ratio leads to a survival benefit (B) . In (C) , the low-risk group gains a better outcome than the other two risk groups.
Article Snippet: Evaluation was carried out with commercial TaqMan ® Gene Expression-assays (Applied Biosystems ® , Foster City, CA, USA; TYMS : Hs00426586_m1, GAPDH : Hs00266705_g1, ACTB : Hs01060665_g1, SLC19A1 : Hs00953344_m1, FPGS :
Techniques: Activation Assay
Journal: BMC Bioinformatics
Article Title: Computational comparison of common event-based differential splicing tools: practical considerations for laboratory researchers
doi: 10.1186/s12859-021-04263-9
Figure Lengend Snippet: Scatterplots of D16 300 M analyses (significant events) for each event type. Scatterplots show relative splicing abundance for each tool (rMATS–InclusionLevelDifference; MISO–diff; SUPPA2–dPSI) and each event type (SE–spliced exon; RI–retained intron; A5–alternative 5’ splice site; A3–alternative 3’ splice site). Regression coefficient is depicted as R 2 . Linear regression line is shown in black. 5A-C–SE; 5D-F–RI; 5G-I–A5; 5 J-L–A3. Left column–rMATS versus SUPPA2; middle column–MISO versus rMATS; right column–SUPPA2 versus MISO
Article Snippet: In addition, an
Techniques:
Journal: BMC Bioinformatics
Article Title: Computational comparison of common event-based differential splicing tools: practical considerations for laboratory researchers
doi: 10.1186/s12859-021-04263-9
Figure Lengend Snippet: Scatterplots of D16 300 M analyses (all events) for each event type. Scatterplots show relative splicing abundance for each tool (rMATS–InclusionLevelDifference; MISO–diff; SUPPA2–dPSI) and each event type (SE–spliced exon; RI–retained intron; A5–alternative 5’ splice site; A3–alternative 3’ splice site). Regression coefficient is depicted as R 2 . Linear regression line is shown in black. 6A-C–SE events; 6D-F–RI events; 6G-I–A5 events; 6J-L–A3 events. Left column–rMATS versus SUPPA2; middle column–MISO versus rMATS; right column–SUPPA2 versus MISO
Article Snippet: In addition, an
Techniques:
Journal: BMC Bioinformatics
Article Title: Computational comparison of common event-based differential splicing tools: practical considerations for laboratory researchers
doi: 10.1186/s12859-021-04263-9
Figure Lengend Snippet: Summarizing features of the 3 splicing analyses tools
Article Snippet: In addition, an
Techniques: Comparison