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Image Search Results
Journal: eLife
Article Title: Human DECR1 is an androgen-repressed survival factor that regulates PUFA oxidation to protect prostate tumor cells from ferroptosis
doi: 10.7554/eLife.54166
Figure Lengend Snippet: ( A ) Individual tumor growth of shControl and shDECR1 cells in LNCaP-xenograft tumors. ( B ) Violin plots of mKi67 and DECR1 mRNA expression in LNCaP tumors (n = 5 mice, shControl; n = 4 mice, shDECR1). ( C ) Representative DECR1 and KI67 IHC staining of consecutive sections of LNCaP-xenograft tumors. ( D ) Individual tumor growth of shControl and shDECR1 cells in LNCaP-xenograft tumors from the second cohort of mice. ( E ) Tumor growth was monitored based on luciferase activity over time as indicated by IVIS imaging (n = 10 mice, shControl; n = 9 mice, shDECR1). Statistical analysis was performed using two-tailed Student’s t -test: *p<0.05 and ***p<0.001.
Article Snippet: Software, algorithm , IVIS Spectrum In Vivo Imaging System ,
Techniques: Expressing, Immunohistochemistry, Luciferase, Activity Assay, Imaging, Two Tailed Test
Journal: eLife
Article Title: Contractile acto-myosin network on nuclear envelope remnants positions human chromosomes for mitosis
doi: 10.7554/eLife.46902
Figure Lengend Snippet:
Article Snippet: Software, algorithm , Imaris,
Techniques: Transfection, Construct, Control, Software
Journal: International Journal of Molecular Sciences
Article Title: The Role of Erythroid Differentiation Regulator 1 (ERDR1) in the Control of Proliferation and Photodynamic Therapy (PDT) Response
doi: 10.3390/ijms21072603
Figure Lengend Snippet: Comparison of erythroid differentiation regulator 1 (ERDR1) expression following photodynamic therapy (PDT) in successful and unsuccessful treatments. ( a ) Images of lesions of actinic keratosis (AK) patients before and after PDT (top panels) and immunohistochemical staining of ERDR1 in skin tissue samples (lower panels). Scale bar = 10 µm. ( b ) ERDR1 expression of four patients with successful PDT treatment quantified by digital image analysis, and an H-score (Histoscore) was calculated. To quantify the intensity of the ERDR1 expression, digital images of ERDR1-immunostained tissues were obtained using a panoramic scan slide scanner (3D HISTECH, Budapest, Hungary), and analyzed using the HistoQuant software (3D HISTECH) with the DensitoQuant algorithm (3D HISTECH). The DensitoQuant algorithm shows five different color images assigned according to staining intensity (red, orange, yellow, blue, and white, indicating strongly positive pixels, moderately positive pixels, weakly positive pixels, negative pixels, and the hematoxylin background, respectively). The algorithm automatically calculates the ratio of positive to total pixels by the formula [1 × (% of weakly positive pixels) + 2 × (% of moderately positive pixels) + 3 × (% of strongly positive pixels)] to provide an H-score. An unpaired t-test was performed to analyze the intensity of the ERDR1 expression between the two groups before and after PDT. The results represent the mean ± standard error of the mean (SEM) and H-score from four different donors. *denotes statistically significant ( p < 0.05) changes from before PDT. ( c ) Images of lesions of BCC patients before and after PDT (top panels), and immunohistochemical staining of ERDR1 in skin tissue (bottom panels). Scale bar = 10 µm. ( d ) The ERDR1 expression of four patients with unsuccessful PDT treatment was quantified. Data for H-scores are shown as mean ± SEM.
Article Snippet: To quantify the intensity of the ERDR1 expression, digital images of the ERDR1-immunostained tissues were obtained using a panoramic scan slide scanner (3D HISTECH, Budapest, Hungary) and analyzed using the HistoQuant software (3D HISTECH) with the
Techniques: Comparison, Expressing, Immunohistochemical staining, Staining, Software
Journal: Molecules
Article Title: Novel Arylsulfonylhydrazones as Breast Anticancer Agents Discovered by Quantitative Structure-Activity Relationships
doi: 10.3390/molecules28052058
Figure Lengend Snippet: Flowchart of the present study. QSAR models were derived based on the literature data; the best models were used to design a series of potential new anticancer agents; the compounds were screened in silico for drug likeness and ADME properties; the most prospective ones were synthesized and tested in vitro on BC cell lines.
Article Snippet: The most relevant descriptors were selected by a genetic algorithm using software
Techniques: Derivative Assay, In Silico, Synthesized, In Vitro
12 ], and compounds 5a – k —from Gaur et al. [ Journal: Molecules
Article Title: Novel Arylsulfonylhydrazones as Breast Anticancer Agents Discovered by Quantitative Structure-Activity Relationships
doi: 10.3390/molecules28052058
Figure Lengend Snippet: Training set used in the study for the derivation of QSAR models. Compounds 3a – o are collected from Senkardes et al. [
Article Snippet: The most relevant descriptors were selected by a genetic algorithm using software
Techniques:
Journal: Molecules
Article Title: Novel Arylsulfonylhydrazones as Breast Anticancer Agents Discovered by Quantitative Structure-Activity Relationships
doi: 10.3390/molecules28052058
Figure Lengend Snippet: Newly designed arylsulfonylhydrazones. The LE values for MCF-7 and MDA-MB-468 cell lines are predicted by the QSAR models derived in the study. The experimental LE values are obtained in vitro by MTT tests.
Article Snippet: The most relevant descriptors were selected by a genetic algorithm using software
Techniques: Derivative Assay, In Vitro