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ScienCell
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Lifeline Cell Technology
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BioResource International Inc
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Image Search Results
Journal: Oncotarget
Article Title: Prostate cancer diagnosis using epigenetic biomarkers, 3D high-content imaging and probabilistic cell-by-cell classifiers
doi: 10.18632/oncotarget.18985
Figure Lengend Snippet: Imaging was performed to acquire four categories of tissue frames corresponding to a sampling spectrum of epithelial and stromal compartments: epithelia only (E), epithelia with minor bordering stroma (E+s), mixed epithelia and stroma at various ratios (ES), and stroma only (S).
Article Snippet: Cultured cells included
Techniques: Imaging, Sampling
Journal: Oncotarget
Article Title: Prostate cancer diagnosis using epigenetic biomarkers, 3D high-content imaging and probabilistic cell-by-cell classifiers
doi: 10.18632/oncotarget.18985
Figure Lengend Snippet: Differential levels and cellular heterogeneity of Biomarkers I and II between biopsied benign and cancerous prostatic tissues (represented by AC with GS6), as visualized by confocal scanning microscopy (A). Each marker (false-colored) was recorded in a separate channel. For each tissue sample all channels —including the multi-color overlay image— are presented as maximum intensity projections. (B) Quantitative presentation of biomarker levels as bar plots indicate for Biomarkers I: significant increase in DNA content (DAPI) and AMACR levels and simultaneous loss of the two epigenetic DNA modifications 5mC and 5hmC in both basal and luminal epithelial cells in AC versus benign tissue; luminal cells seemingly exhibit a stronger loss of 5hmC compared to basal cells. Biomarkers II: concurrent loss of suppressive chromatin-state marker H3K27me3 and decrease of chromatin-associated SAFB levels, while H3K9me3 and nuclear AR levels are highly elevated in AC versus benign tissue. Scale bar is 10 μm.
Article Snippet: Cultured cells included
Techniques: Microscopy, Marker, Biomarker Discovery
Journal: Oncotarget
Article Title: Prostate cancer diagnosis using epigenetic biomarkers, 3D high-content imaging and probabilistic cell-by-cell classifiers
doi: 10.18632/oncotarget.18985
Figure Lengend Snippet: The data was separated into subsets representing the first biopsy (blue), the second biopsy (red), and finally prostatectomy (green). Each dot represents one cell. The results show a high overlap when epithelial and stromal compartments are analyzed together (ES). The overlap is reduced in the case of only a minor involvement of stroma (E+s). The best segregation is seen when the epithelial compartment is analyzed by itself, indicating the highest change (variance) for the analyzed markers. The latter subdata is missing data from two biopsies, as most patients for which epithelial (E) compartments could be analyzed were initially diagnosed with lots of AC and thus only underwent one biopsy prior to prostatectomy.
Article Snippet: Cultured cells included
Techniques:
Journal: Oncotarget
Article Title: Prostate cancer diagnosis using epigenetic biomarkers, 3D high-content imaging and probabilistic cell-by-cell classifiers
doi: 10.18632/oncotarget.18985
Figure Lengend Snippet: Performance of Logistic regression model with the development data set and Biomarkers I, utilizing epithelial cell only (A) and all subsets of all imaged cells (B). 5mC shows best performance as single marker in both cases, and is only exceeded by the combined marker panel.
Article Snippet: Cultured cells included
Techniques: Marker
Journal: Oncotarget
Article Title: Prostate cancer diagnosis using epigenetic biomarkers, 3D high-content imaging and probabilistic cell-by-cell classifiers
doi: 10.18632/oncotarget.18985
Figure Lengend Snippet: Logistic regression model coefficients for epithelial cells only
Article Snippet: Cultured cells included
Techniques:
Journal: Oncotarget
Article Title: Prostate cancer diagnosis using epigenetic biomarkers, 3D high-content imaging and probabilistic cell-by-cell classifiers
doi: 10.18632/oncotarget.18985
Figure Lengend Snippet: Predictions of the logistic model based on epithelial cells only
Article Snippet: Cultured cells included
Techniques:
Journal: Oncotarget
Article Title: Prostate cancer diagnosis using epigenetic biomarkers, 3D high-content imaging and probabilistic cell-by-cell classifiers
doi: 10.18632/oncotarget.18985
Figure Lengend Snippet: Validation of KNN classification for predicting tissue pathological categories (including cancer stages) using epithelial cells only and Biomarkers I
Article Snippet: Cultured cells included
Techniques: Biomarker Discovery
Journal: Oncotarget
Article Title: Prostate cancer diagnosis using epigenetic biomarkers, 3D high-content imaging and probabilistic cell-by-cell classifiers
doi: 10.18632/oncotarget.18985
Figure Lengend Snippet: Validation of KNN classification for predicting GS based on epithelial cells only with Biomarkers I
Article Snippet: Cultured cells included
Techniques: Biomarker Discovery
Journal: Conditioning medicine
Article Title: Is there a central role for the cerebral endothelium and the vasculature in the brain response to conditioning stimuli?
doi:
Figure Lengend Snippet: Effects of hypoxia- or ischemia-related conditioning on BBB permeability and endothelial cell death after stroke in vivo or oxygen glucose deprivation in vitro.
Article Snippet: Rat ,
Techniques: Permeability, In Vivo, In Vitro
Journal: Conditioning medicine
Article Title: Is there a central role for the cerebral endothelium and the vasculature in the brain response to conditioning stimuli?
doi:
Figure Lengend Snippet: Effects of hypoxia- or ischemia-related preconditioning on cerebral blood flow.
Article Snippet: Rat ,
Techniques:
Journal: Cancer Science
Article Title: Efficient immortalization of primary human cells by p16 INK4a ‐specific short hairpin RNA or Bmi‐1, combined with introduction of hTERT
doi: 10.1111/j.1349-7006.2006.00373.x
Figure Lengend Snippet: Elevation of p16 during serial passage of several primary human cell types but not of neonatal skin fibroblasts. Whole‐cell protein extracts of human dermal papilla cells (HDPC), human small airway epithelial cells (HSAEC), human mesenchymal stem cells (HMSC), human prostate epithelial cells (HPrEC), human bronchial epithelial cells (HBEC), human dermal keratinocytes (HDK), human foreskin keratinocytes (HFK) and human foreskin fibroblasts (HFF) were collected at the indicated population doublings (PD). Expression levels of (A,C) p16 together with (B) Rb were analyzed by immunoblotting. HeLa cell extract was used as a positive control for p16 in some blots. β‐Actin was used as a loading control. (D) Growth curves for the different cell types.
Article Snippet: HDPC, HMSC and
Techniques: Expressing, Western Blot, Positive Control, Control
Journal: PLoS ONE
Article Title: Repression of Androgen Receptor Transcription through the E2F1/DNMT1 Axis
doi: 10.1371/journal.pone.0025187
Figure Lengend Snippet: (A) Primary cultures of human prostate epithelial cells (hPrEC) and (B) immortalized benign prostate epithelial cells (BPH-1) transduced with either control (shVector (shV) and shNon-targeting (NT)) or DNMT1 shRNA constructs. AR and DNMT1 protein expression relative to actin loading control were analyzed by Western blot. The exposures in (B) were taken from different sections of the same blot at the same intensity. AR transcription was analyzed using qRTPCR with readings done in triplicate (graphs A and B). Mean values are represented with standard error bars. (C) shRNA transduced BPH-1 cells (described in A and B) were transfected with the human AR promoter luciferase reporter (hAR-Luc) construct. The histograms represent the mean value of three independent experiments with the indicated standard deviation. were normalized to β-galactosidase (B-gal) expression from a co-transfected CMV promoter driven B-gal reporter construct. All western blots are representative of 3 separate experimental replicates.
Article Snippet:
Techniques: Transduction, Control, shRNA, Construct, Expressing, Western Blot, Transfection, Luciferase, Standard Deviation
Journal: PLoS ONE
Article Title: Repression of Androgen Receptor Transcription through the E2F1/DNMT1 Axis
doi: 10.1371/journal.pone.0025187
Figure Lengend Snippet: (A) Map of a region of the AR promoter depicting two types of E2F consensus sequences +80→+96 and +13,318→+13,334 (shown as solid ovals) and +999→+1,015 (shown as open ovals). Primer flanked regions are designated as sites A, B, and C. The 243 bp region (+22→+293) analyzed by bisulfite sequencing is indicated. (B) qPCR analysis of target (DNMT1) and non-specific (IgG) ChIPed DNA from BPH-1 cells using primers that flank sites A, B, and C. Primers flanking a region in the PS2 (targeted DNMT1) promoter and ABCB1 (non-targeted DNMT1) region were used as ChIP controls. Data is representative of the mean from 3 qPCR reactions and shown as a percent of input with the standard error indicated. (C) Bisulfite sequencing analysis of the 243 bp region in the AR minimal promoter in hPrEC compared to DU145 cells infected with both non-targeting (NT) (control) and DNMT1 shRNA constructs (4-1 and 4-2). Solid circles (methylated) and open circles (un-methylated) were used to represent the methylation status of cytosines within CpG dinucleotides. Each horizontal strand of circles depicts a separate DNA clone. Lysates were probed on a western blot for AR and actin. Cell lines were also treated with either 1 µM 5Aza (5A) or DMSO matched vehicle (V) and extracted cDNA was PCR amplified with both human AR and GAPDH. All data shown except for the 5Aza treatments are representative of 3 separate experimental replicates.
Article Snippet:
Techniques: Methylation Sequencing, Infection, Control, shRNA, Construct, Methylation, Western Blot, Amplification
Journal: Pharmaceutics
Article Title: Phosphatidylserine-Gold Nanoparticles (PS-AuNP) Induce Prostate and Breast Cancer Cell Apoptosis
doi: 10.3390/pharmaceutics13071094
Figure Lengend Snippet: PS-AuNPs induce significant morphological changes in prostate cancer (PC3) cells compared to PBS-challenged cells (control) and the normal prostate (HPrEC) cell line. From top to bottom rows, light microscopy of the cell morphology of HPrEC normal prostate cell line and the prostate cancer cell lines C4-2B, LNCaP, DU-145, and PC3. The left column shows cell lines challenged with PBS; the central column shows cell lines challenged with AuNP; and the right column shows cell lines challenged with PS-AuNP. Scalebar equivalent to 50 µm.
Article Snippet: The normal
Techniques: Control, Light Microscopy
Journal: Pharmaceutics
Article Title: Phosphatidylserine-Gold Nanoparticles (PS-AuNP) Induce Prostate and Breast Cancer Cell Apoptosis
doi: 10.3390/pharmaceutics13071094
Figure Lengend Snippet: PS-AuNPs induce significant decreases in cellular area and perimeter and significant increases in cell circularity in prostate cancer (PC3) cells, compared to PBS (control) and AuNP-challenged cells, but not in normal prostate (HPrEC) cell line. Cellular Area (left), Cellular Perimeter (Center), and Cell Circularity (Right) of the HPrEC normal prostate cell line and the prostate cancer cell lines C4-2B, LNCaP, DU-145, and PC3. ** means p < 0.01 between the annotated samples; *** means p < 0.001 between the annotated samples; and **** means p < 0.0001 between the annotated samples.
Article Snippet: The normal
Techniques: Control