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AMS Biotechnology
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Biolog Inc
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Proteintech
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Biolog Inc
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Image Search Results
Journal: Cell
Article Title: A white-box machine learning approach for revealing antibiotic mechanisms of action
doi: 10.1016/j.cell.2019.04.016
Figure Lengend Snippet: (A) Overall experimental design for measuring metabolite effects on antibiotic lethality. Overnight cultures of E. coli MG1655 were inoculated into MOPS minimal medium, grown to early exponential phase, and back-diluted to OD600 = 0.1. Cells were dispensed into Biolog phenotype microarray plates (PMs) 1–4 (Bochner, 2009) with different concentrations of ampicillin (AMP), ciprofloxacin (CIP) or gentamicin (GENT) added. OD600 was measured after 4 hours of incubation at 37°C and 900 rpm shaking. Antibiotic IC50s were estimated for each antibiotic-metabolite combination.
Article Snippet: Cells were dispensed into
Techniques: Microarray, Incubation
Journal: Cell
Article Title: A white-box machine learning approach for revealing antibiotic mechanisms of action
doi: 10.1016/j.cell.2019.04.016
Figure Lengend Snippet: Key Resources Table
Article Snippet: Cells were dispensed into
Techniques: Virus, Recombinant, Microarray, Software, Combined Bisulfite Restriction Analysis Assay
Journal: Cancers
Article Title: A Systemic and Integrated Analysis of p63-Driven Regulatory Networks in Mouse Oral Squamous Cell Carcinoma.
doi: 10.3390/cancers15020446
Figure Lengend Snippet: Figure 11. Immunohistochemical staining in HNSCC tumor microarray tissues. Staining of p63 (A), COTL1 (B), and K14 (C) across normal, malignant tumor stage II, and malignant tumor stage III tissues at 10× magnification.
Article Snippet: After blocking in 5% milk, the membranes were incubated first in primary antibodies against p63 (4A4, 1:20,000), COTL1 (Proteintech, 1:10,000),
Techniques: Immunohistochemical staining, Staining, Microarray
Journal: Cancers
Article Title: A Systemic and Integrated Analysis of p63-Driven Regulatory Networks in Mouse Oral Squamous Cell Carcinoma.
doi: 10.3390/cancers15020446
Figure Lengend Snippet: Figure 11. Immunohistochemical staining in HNSCC tumor microarray tissues. Staining of p63 (A), COTL1 (B), and K14 (C) across normal, malignant tumor stage II, and malignant tumor stage III tissues at 10× magnification.
Article Snippet: After blocking in 5% milk, the membranes were incubated first in primary antibodies against p63 (4A4, 1:20,000), COTL1 (Proteintech, 1:10,000),
Techniques: Immunohistochemical staining, Staining, Microarray
Journal: Biomedicines
Article Title: Pharmacological Inhibition of WIP1 Sensitizes Acute Myeloid Leukemia Cells to the MDM2 Inhibitor Nutlin-3a
doi: 10.3390/biomedicines9040388
Figure Lengend Snippet: Viability of AML cell lines treated with Nut-3a and/or WIP1i. ( A ) Percentage of viable MOLM-13, MV-4-11, OCI-AML3, NOMO-1, HEL and KASUMI-1 AML cells treated with increasing concentrations of single agent Nut-3a (from 0.5 to 5 μM) for 24, 48 and 72 h. ( B ) IC50 values of AML cell lines at 72 h of treatment with Nut-3a or WIP1i (NR = not reached). ( C ) Percentage of viable cells treated with increasing concentrations of single agent WIP1i (from 5 to 20 μM) for 24, 48 and 72 h. Inhibition of cell viability induced in TP53 -wt ( D ) and TP53 -mut ( E ) AML cell lines by the combination of increasing concentrations of Nut-3a (from 0.5 to 5 μM) and WIP1i (from 5 to 20 µM) at 24, 48 and 72 h. Average value and standard deviation of 3 independent experiments are shown.
Article Snippet: The following primary antibodies were used: anti-WIP1 (#SC20712) from Santa Cruz Biotechnology;
Techniques: Inhibition, Standard Deviation
Journal: Biomedicines
Article Title: Pharmacological Inhibition of WIP1 Sensitizes Acute Myeloid Leukemia Cells to the MDM2 Inhibitor Nutlin-3a
doi: 10.3390/biomedicines9040388
Figure Lengend Snippet: Apoptotic response of AML cell lines and primary cells to combined Nut-3a and WIP1i treatment. ( A ) Histograms showing the percentage of apoptotic (AnnexinV + cells) cells in TP53 -wt ( A ) and TP53 -mut cell lines ( B ) after 24 and 48 h treatment with single and combined Nut-3a and WIP1i. Average value and standard deviation of 3 independent experiments are shown. ( C ) Cell viability and ( D ) apoptotic response of TP53 -wt AML primary cells ( n = 3 and n = 6, respectively) after 24 h and 48 h treatment with single and combined Nut-3a and WIP1i treatments. ( E ) Histograms showing the percentage of dead cells in NPM1 -mut and NPM1 -wt primary AML cells ( n = 5 each) after 48 h treatment with single and combined Nut-3a and WIP1i. ( F ) Histograms showing the percentage of viable cells (normalized on vehicle-treated cells) in TP53 -mut ( n = 3) and TP53 -wt ( n = 4) primary AML cells after 48 h treatment with single and combined Nut-3a and WIP1i (* p < 0.05, ** p < 0.01, *** p < 0.001, ns: not significant).
Article Snippet: The following primary antibodies were used: anti-WIP1 (#SC20712) from Santa Cruz Biotechnology;
Techniques: Standard Deviation
Journal: Biomedicines
Article Title: Pharmacological Inhibition of WIP1 Sensitizes Acute Myeloid Leukemia Cells to the MDM2 Inhibitor Nutlin-3a
doi: 10.3390/biomedicines9040388
Figure Lengend Snippet: Changes in the expression of p53-related genes induced by the treatment in TP53 -wt and TP53 -mut cells. Cells were harvested after 16 h of treatment (Nut-3a 0.5 and 5 µM; WIP1i 5 and 20 µM, for TP53 -wt and TP53 -mut cells, respectively) both for gene expression microarray and protein analyses. ( A ) Enrichment of p53 signature in MV-4-11 cells treated with the drug combination vs. vehicle (gene expression microarray). ( B ) Heatmap of MV-4-11 and NOMO-1 cells showing the significantly deregulated genes (differential expression analysis between Nut-3a+WIP1i-treated and vehicle-treated MV-4-11 cells, fold change ≥ 2, p < 0.05) belonging to the p53 signature in the analyzed models. ( C ) Protein quantification of p53-related genes in treated TP53 -wt and ( D ) TP53 -mut cells. Histograms show the average value of 3 independent experiments ± SD (* p < 0.05, ** p < 0.01, *** p < 0.001, ns: not significant).
Article Snippet: The following primary antibodies were used: anti-WIP1 (#SC20712) from Santa Cruz Biotechnology;
Techniques: Expressing, Microarray
Journal: Biomedicines
Article Title: Pharmacological Inhibition of WIP1 Sensitizes Acute Myeloid Leukemia Cells to the MDM2 Inhibitor Nutlin-3a
doi: 10.3390/biomedicines9040388
Figure Lengend Snippet: Most significant enriched pathways in MV-4-11 cells upon drug treatment.
Article Snippet: The following primary antibodies were used: anti-WIP1 (#SC20712) from Santa Cruz Biotechnology;
Techniques: Comparison, Activity Assay
Journal: Biomedicines
Article Title: Pharmacological Inhibition of WIP1 Sensitizes Acute Myeloid Leukemia Cells to the MDM2 Inhibitor Nutlin-3a
doi: 10.3390/biomedicines9040388
Figure Lengend Snippet: Proposed mechanism of action of Nut-3a and WIP1i combined treatment in AML cells. MDM2 inhibition enhances p53-dependent response to DNA damages induced by chemotherapy agents or replicative stress. Once Nut-3a binds to MDM2, p53 is released and activated through phosphorylation. Active p53 promotes the induction of apoptosis. ( A ) WIP1 is involved in the regulation of response to Nut-3a and dephosphorylates p53. WIP1 and p53 are co-regulated by a feedback-loop. ( B ) When WIP1i is simultaneously added to Nut-3a, p53 activation is enforced, resulting in enhanced apoptosis of AML cells. The arrows represent a stimulatory signal, truncated arrows represent a inhibition signal.
Article Snippet: The following primary antibodies were used: anti-WIP1 (#SC20712) from Santa Cruz Biotechnology;
Techniques: Inhibition, Activation Assay
Journal: Cell
Article Title: Cancer-germline antigen expression discriminates clinical outcome to CTLA-4 blockade
doi: 10.1016/j.cell.2018.03.026
Figure Lengend Snippet: (A) 14-3-3ζ is downregulated in melanoma tumors with high CRMA expression. (B) In vitro screen for MAGE-TRIM28 ubiquitination substrates identifies HMGB1 (p=0.04). AMPKα1 was used as a positive control (Pineda et al., 2015). (C) Immunofluorescence staining (IF) for MAGE-A and HMGB1 in a melanoma tissue microarray (TMA) shows a negative association between the two proteins in individual cells. (D) Examples from the TMA of mutually exclusive expression of MAGE-A and HMGB1 in cells from the same tumor. Magnification x200. (E) A higher proportion of MAGE− tumors are positive for LC3B, a marker of autophagy, by IHC staining compared to MAGE+ tumors in the melanoma TMA (p=0.004) (top). Examples of LC3B+ and LC3B− tumors, magnification x400 (bottom). (F) Immunofluorescence staining for MAGE-A and HMGB1 shows mutual exclusion in five patient samples from the discovery cohort in addition to a human xenograft melanoma. Magnification x400. (G) MAGE-TRIM28 complex drives primary resistance to CTLA-4 blockade by degradation of regulators of autophagy. See also Figure S3.
Article Snippet:
Techniques: Expressing, In Vitro, Ubiquitin Proteomics, Positive Control, Immunofluorescence, Staining, Microarray, Marker, Immunohistochemistry