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Dasatinib

Dasatinib is a tyrosine kinase inhibitor that targets multiple kinases, including BCR-ABL, SRC, c-KIT, and PDGFR.
It is used to treat chronic myelogenous leukemia (CML) and acute lymphoblastic leukemia (ALL) in patients who are resistant or intolerant to other treatments.
Dasatinib has been shown to be effective in inhibiting the growth and survival of leukemia cells, and is approved for use in both the chronic and accelerated phases of CML, as well as in Ph+ ALL.
Researchers can use PubCompare.ai's AI-driven platform to easily locate the most relevant protocols from literature, pre-printes, and patents, while leveraging AI-powered comparisons to identify the optimal protocols and product for their Dasatinib research.
This innovative tool can help streamline research, improve reproducibility, and enhance the accuracy of Dasatinib studies.

Most cited protocols related to «Dasatinib»

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Publication 2012
ammonium bicarbonate Buffers Cells Chloroform Dasatinib HEPES Lapatinib Methanol Neoplasms Peptides Phosphotransferases Promega Protein Kinases Proteins purvalanol B SB 203580 Sodium Chloride Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Trypsin
PrankWeb allows users to predict and visualize the protein ligand binding sites and contrast these with both highly conserved areas and actual ligand binding sites.
To carry out the prediction, users can either upload a PDB file or provide a PDB ID, in which case PrankWeb will download and store the corresponding PDB file from the PDB database (30 (link)). In addition to selecting what protein to analyze, users can also specify whether evolutionary conservation should be included in the prediction process, which in turn determines which of the two pre-trained models will be used.
Conservation scores are calculated using the Jensen-Divergence method (31 (link)) from a multiple sequence alignment (MSA) file, which can come from three sources: (i) users can specify their own alignment file, (ii) if a protein’s PDB code is provided, PrankWeb uses MSA from the HSSP (32 (link)) database or (iii) where no MSA is provided and no MSA is found in HSSP, the MSA is computed using PrankWeb’s own conservation pipeline, which utilizes UniProt (33 ), PSI-Blast (34 (link)), MUSCLE (35 (link)) and CD-HIT (36 (link)). This process is depicted in Figure 2 and described in detail in the Supplementary Material.
After specification of the input, the submitted data is sent via a REST API to the server, which then starts the prediction pipeline. The user is provided with a URL address from which progress of the prediction process can be tracked and results inspected once the process finishes.
On the results page, PrankWeb utilizes LiteMol for visualization of 3D structural information and Protael for sequence visualization. Figure 1 displays the predicted binding sites of dasatinib (a drug used for treatment of chronic myelogenous leukemia) bound to the kinase domain of human LCK (PDB ID 3AD5). The sequence and structure plugins are synchronized so that the user can easily locate a sequence position in the structure and vice versa. The sequence view comprises predicted pockets, computed conservation and binding sites (if present in the PDB file). The side panel displays information about the identified pockets and a toolbar allowing the user to (i) download all inputs and calculated results, (ii) share the results page link or (iii) switch between visualization modes. PrankWeb comes with three predefined 3D model renderings (protein surface, cartoon and atoms) and the predicted binding sites and conservation scores are color coded. Conservation is displayed in grayscale (darker denoting more conserved residues) and binding sites are color-highlighted. When the conservation score is not available, the protein surface is white. If conservation analysis is chosen, the user can contrast the positions of putative active sites with conservation scores of the respective positions. In cases where the preset modes do not suffice, one can completely customize the 3D visualization using LiteMol’s advanced user interface or the PyMOL visualization script for offline inspection.
PrankWeb consists of a Java backend, REST API and a Typescript frontend, the backend being based on the WildFly (37 ) web server and the P2Rank application, while the frontend uses the Protael, LiteMol and Bootstrap.js libraries to provide an interactive user interface on top of the REST API. All source code is available under Apache License 2.0 at GitHub (https://github.com/jendelel/PrankWebApp). The GitHub website also includes documentation for developers on how to use our REST API and how to deploy their own version of the server.
Publication 2019
Binding Sites Biological Evolution Darkness Dasatinib Homo sapiens Leukemias, Chronic Granulocytic Ligands Lymphocyte Specific Protein Tyrosine Kinase p56(lck) Membrane Proteins Muscle Tissue Pharmaceutical Preparations Proteins Sequence Alignment Staphylococcal Protein A
105 Mel13, Mel5 or ILA1 CTL were pre-treated at 37 °C with dasatinib at a range of concentrations (0–50 nM) for a series of durations up to 1 h. Mel13/Mel5 or ILA1 were then stained with either PE-conjugated HLA A2/ELAGIGILTV or HLA A2/ILAKFLHWL tetramer, respectively, at a final concentration of 10μg/ml for 20 min at 37 °C. The HLA DR⁎0101-restricted clone C6 was stained with HLA DR⁎0101/PKYVKQNTLKLAT PE tetramer for 20 min at 37 °C. After initial experiments to determine the optimal conditions of use, all subsequent experiments were performed by incubating T-cells ± 50 nM dasatinib for 30 min at 37 °C prior to tetramer staining. Unless otherwise stated dasatinib remained present throughout the staining procedure. Subsequent to tetramer staining, CTL clones were stained with anti-human CD8-FITC (clone SK1; BD Pharmingen) and 7-AAD (Viaprobe; BD Pharmingen) for 30 min on ice then washed twice with phosphate buffered saline (PBS); the HLA DR⁎0101-restricted clone C6 was stained with 7-AAD (Viaprobe; BD Pharmingen) only. For murine CTL, 5 x 105 splenocytes were pre-treated with 50 nM dasatinib for 30 min at 37 °C, stained with H2-Db/ASNENMDAM PE-conjugated tetramer for 20 min at 37 °C and then anti-murine CD8-Cy5.5 for 30 min on ice, washed twice and re-suspended in PBS. Data were acquired using a FACSCalibur flow cytometer (BD) and analyzed using FlowJo software (Treestar Inc., Ashland, OR, USA).
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Publication 2009
7-aminoactinomycin D Clone Cells CY5.5 cyanine dye Dasatinib Fluorescein-5-isothiocyanate HLA-A2 Antigen HLA-DR Antigens Homo sapiens Mus Phosphates Saline Solution T-Lymphocyte telomerase reverse transcriptase (540-548) Tetrameres
The demonstration cases described below feature published microarray gene-expression data. They were converted to ranked lists by calculating t-test P-values between the relevant sample types (classes) for each probe, that were log10-transformed and signed to indicate direction of change (positive for increased in Class B, negative for increased in Class A or decreased in Class B). Probes were annotated with current mouse or human UniGene identifiers and homologs were identified using HomoloGene; only the probe with the highest absolute signed t-test P-value within those with matching UniGene identifiers was kept in the collapsing step. Data downloaded from Gene-expression Omnibus (GEO) (19 (link)): MPAKT prostate cancer mouse model, GSE1413; breast tumors with ER, PR and HER2 status, GSE2603; MMTV-HER2/neu mouse model, GSE2528; BCR-ABL transfected cell line, GSE10912; mammary stem cell, GSE3711; KRAS2 overexpression cell line, GSE3151; lung tumors with KRAS2 status, GSE3141; imatinib treatment in leukemia patients, GSE2535; dasatinib treatment in cell lines, GSE9633 and GSE6569; castration and testosterone treatment in mice, GSE5901; gedunin treatment in prostate cancer cell line, GSE5506. Data downloaded from Array Express (20 (link)): imatinib treatment in leukemia patients, E-MEXP-433 (21 (link)). Data downloaded from an individual lab website: KRAS2 lung tumors and mouse model (1 (link)), Cmap database (10 (link)). Data communicated by collaborators: PTEN knockout prostate cancer mouse model, Dr Shunyou Wang, laboratory of Dr Hong Wu, UCLA (22 (link)).
Publication 2010
Breast Breast Neoplasm Castration Cell Lines Dasatinib erbb2 Gene ERBB2 protein, human gedunin Gene Expression Homo sapiens Imatinib KRAS protein, human Leukemia Lung Neoplasms Mice, Knockout Microarray Analysis Mouse mammary tumor virus Mus Patients Prostate Cancer PTEN protein, human Stem Cells Testosterone
Fresh xenograft tumor fragments of selected xenograft lines were transplanted into the cleared fat pad of recipient mice. When tumors reached a volume of ~200 mm3, mice were randomized and treated with either vehicle (9-10 mice), a single intraperitoneal injection of Docetaxel (20mg/kg) (3-9 mice), a single intraperitoneal injection of Doxorubicin (3mg/kg) (3-9 mice), or combined Trastuzumab and Lapatinib (10 mice) as described [30 (link), 31 (link)], depending on the treatment the patient of origin received clinically. In some cases, patients were treated with chemotherapy in combination with an experimental targeted therapeutic (e.g. Dasatinib or a gamma secretase inhibitor). In such cases, resistance to both agents in the patient, and resistance to single agent in the xenograft were considered concordant. Tumor size was monitored twice weekly using calipers for a period of at least 2 weeks, and growth curves plotted. Sensitivity was defined as ≥30% regression (RECIST partial response or complete response); Resistance was defined as either <30% regression, stable disease, or continued growth (RECIST stable disease or progressive disease). Treatment responses in xenografts were compared to those of the primary tumor for concordance, and statistical significance of the difference between observed and expected concordance was evaluated by Fisher’s Exact Test. The degree of concordance above that expected by chance was evaluated using the kappa statistic.
Publication 2013
Dasatinib Docetaxel Doxorubicin gamma-Secretase Heterografts Hypersensitivity Injections, Intraperitoneal Lapatinib Mus Neoplasms Pad, Fat Patients Pharmacotherapy Transplant Recipients Trastuzumab

Most recents protocols related to «Dasatinib»

Example 7

In order to provide a more readily available and reproducible cell system (and to avoid the problems seen with existing methods), experimental systems based on tissue culture cell lines may be utilized to monitor the impact of drugs on signaling pathways.

Flow cytometric methods using tissue culture cells have been routinely used for investigating the effects of drugs, for example, inhibitors of Bcr/Abl kinase that are useful in the therapy of chronic myeloid leukemia (CML). CML is associated with the Philadelphia chromosome, a genetic translocation that fuses the Abl1 gene on chromosome 9 with part of the BCR gene on chromosome 22. The resulting fusion protein contains a receptor tyrosine kinase that constitutively activates several downstream signaling pathways, including P-STAT5, P-Crkl, P-mTOR, and P—HSF. The Abl kinase is the target of several therapeutics currently used clinically, including imatinib (GLEEVEC™), nilotinib, and dasatinib. These compounds act by inhibiting the tyrosine kinase activity at the receptor level, and also concomitantly inhibit all downstream signaling pathways.

As a representative model of CML, human K562 cell line, which expresses the Bcr/Abl fusion protein and constitutively phosphorylates the downstream STAT5 target (Cytometry 54A; 75-88, 2003), was used in the following experiment. As shown in FIG. 10, treatment of K562 cells for 30 min with 2 μM GLEEVEC™ (imatinib, or STI571) results in >95% inhibition of the phosphorylation of the downstream STAT5 target. Also, as shown in FIG. 10, although the phosphorylation of STAT5 is inhibited after 30 min imatinib exposure, there is no change in the cell cycle, as measured by DNA content.

Phosphorylated STAT5 (P-STAT5) acts as a transcriptional activator of several target proteins, including Cyclin D. Constitutive expression of Cyclin D (induced by P-STAT5) maintains K562 cells in cell cycle. It was found that exposure to imatinib for 24 hr decreases S-phase (as a marker of cell proliferation) by ˜50%, and further exposure to imatinib for an additional 24 hr decreases S-phase by an additional 50-70% (data not shown).

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Patent 2024
Cell Culture Techniques Cell Cycle Cell Lines Cell Proliferation Cells Chromosomes, Human, Pair 9 Chromosomes, Human, Pair 22 CRKL protein Cyclin D Cyclins Dasatinib Flow Cytometry FRAP1 protein, human Fusion Proteins, bcr-abl Genes Gleevec Homo sapiens Imatinib inhibitors K562 Cells Leukemias, Chronic Granulocytic nilotinib Pharmaceutical Preparations Philadelphia Chromosome Phosphorylation Phosphotransferases Proteins Protein Targeting, Cellular Psychological Inhibition Receptor Protein-Tyrosine Kinases SERPINA3 protein, human Signal Transduction Pathways Staphylococcal Protein A STAT5A protein, human STI571 Tissues Transcription, Genetic Translocation, Chromosomal Vision
As described in our previous studies, induction chemotherapy was started with a modified regimen of fractionated cyclophosphamide, vincristine, doxorubicin, dexamethasone (hyper-CVAD), and alternating high-dose cytarabine and mitoxantrone.22 (link)25 (link, link, link) Patients who failed to achieve CR or relapsed after CR received intensified salvage chemotherapy using an MEC regimen consisting of cytarabine (2 g/m2, every 12 h, days 1–4), mitoxantrone (12 mg/m2, days 1–4), and etoposide (100 mg/m2, days 5–7). Patients with Ph-positive ALL also received tyrosine kinase inhibitors (imatinib or dasatinib).24 (link)28 (link, link, link, link) In patients who revealed minimal residual disease (MRD) at 3 months post-transplant, we applied preemptive tyrosine kinase inhibitors. Since 2016, blinatumomab was used as a monotherapy for all above indications instead of MEC regimen in the same way of our previous study.21 (link) Before application of blinatumomab, all patients received prephase dexamethasone to reduce leukemic burden and cytokine release syndrome (CRS). During the first cycle, blinatumomab was continuously infused for 4 weeks (9 μg/day for the first 7 days and 28 μg/day thereafter). After a 2-week treatment-free interval, a second 4-week cycle was initiated at a dosage of 28 μg/day from day 1 to day 28. Even after 2016, we applied the MEC regimen to some patients who failed to blinatumomab, while some others were treated with inotuzumab ozogamicin (INO) as it became available for R/R Ph-negative ALL since late 2019.29 ,30 (link) Doses of INO were administered at 0.8 mg on day 1 of the first cycle (0.5 mg on the day of the second cycle) and 0.5 mg on days 8 and 15. The interval of the first cycle was 28 days, and up to two cycles were approved.
Publication 2023
blinatumomab Cyclophosphamide Cytarabine Cytokine Release Syndrome Dasatinib Dexamethasone Doxorubicin Etoposide Grafts Imatinib Induction Chemotherapy Inotuzumab Ozogamicin MAV protocol Mitoxantrone Neoplasm, Residual Patients Pharmacotherapy Treatment Protocols Vincristine
Cells were plated at 3 × 106 cells/ml in a 24‐well plate (500 μl) for western blotting and at 1.33 × 106 cells/ml in a 96‐well plate (150 μl) for ELISA and flow cytometry. Stimuli were used at the following concentrations, if not indicated otherwise: 20 μg/ml 2′‐3′‐cGAMP (synthesized in‐house, detailed synthesis instructions available upon request) for ELISA and WB, and 40 μg/ml 2′‐3′‐cGAMP for flow cytometry; 5:1 cells:beads αCD3/CD28 (Gibco, #11132D), 1 μM ABT737 (Selleck Chemicals, #S1002), 1 μM S63845 (Selleck Chemicals, #S8383), 6,000 IU/ml IFNα2a (Miltenyi Biotec, #130‐093‐874), 20 μM zVAD (R&D Systems, #FMK001), 2 μg/ml PHA (Sigma‐Aldrich, #61764), 50 ng/ml PMA (Enzo Life Sciences, #BML‐PE160‐0005), 1 IU/ml ionomycin (Alomone Labs, #I‐700), 10 ng/ml IFNγ (PeproTech, #300‐02), 10 ng/ml TNFα (PeproTech, #300‐01A), 50 IU/ml IL2 (R&D Systems, #202‐IL‐010), TPCA‐1 (R&D Systems, #2559/10), Dasatinib (Selleck Chemicals, #S1021), Tacrolimus (Astellas PHArma, #06896463), Torin1 (InvivoGen, #inh‐tor1), and 2 μΜ Thapsigargin (Sigma‐Aldrich, #T9033‐.5MG). For HT‐DNA delivery, 200 ng of HT‐DNA (Sigma‐Aldrich, #D6898‐1G) per condition was complexed with 0.5 μl of Lipofectamine 2000 (Thermo Fisher Scientific, #11668019) per condition in Opti‐MeM (Gibco, #10149832) for 5 min at RT.
Publication 2023
2-((aminocarbonyl)amino)-5-(4-fluorophenyl)-3-thiophenecarboxamide Anabolism Cells cyclic guanosine monophosphate-adenosine monophosphate Dasatinib Enzyme-Linked Immunosorbent Assay Flow Cytometry Interferon alfa 2a Interferon Type II Ionomycin lipofectamine 2000 Obstetric Delivery S63845 Tacrolimus Thapsigargin Tumor Necrosis Factor-alpha
Cell lines were treated with the following agents, either alone or in combination as indicated in text. DNA-PK inhibitors: NU7441 (Selleckchem), M3814 (Merck); KIT signaling inhibitors: dasatinib (Cayman Chemical), ibrutinib (Selleckchem), FTY720 (Cayman Chemical), and AAL(S) (synthesized by A/Prof Jonathan Morris, School of Chemistry, UNSW as described (43 (link))). Dimethyl sulfoxide was used as the solvent for all compounds. Final vehicle concentration was below 0.1% for all experiments.
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Publication 2023
Caimans Cell Lines Dasatinib FTY-720 ibrutinib inhibitors M3814 NU 7441 Protein Kinase, DNA-Dependent Solvents Sulfoxide, Dimethyl
Cell viability was evaluated using AlamarBlue Cell Viability Reagent (ThermoFisher Scientific). Senescent lung fibroblasts (3 × 104 cells/well) were treated with nintedanib (Ofev, Boehringer Ingelheim, Germany; 300 nM), pirfenidone (Esbriet, Genentech, San Francisco; 2.5 mM) or dasatinib (Tocris, Bristol, UK; 20 μM) + quercetin (Sigma-Aldrich, St. Louis, MO; 15 μM) for 24 h followed by 3 h with the cell death ligand Super Fas Ligand (100 ng/ml). AlamarBlue Cell Viability Reagent was added to the cells and incubated for 4 h at 37 °C. Fluorescence values were assessed using a fluorescence excitation wavelength of 560 nm and an emission of 590 nm with a fluorescent microplate reader (Biotek). Results were expressed as fold-change compared to control cells.
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Publication 2023
Alamar Blue Cell Death Cells Cell Survival Dasatinib Esbriet FASLG protein, human Fibroblasts Fluorescence Ligands Lung nintedanib Ofev pirfenidone Quercetin

Top products related to «Dasatinib»

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Dasatinib is a laboratory reagent used in research applications. It is a tyrosine kinase inhibitor that can be used to study cellular signaling pathways.
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Dasatinib is a tyrosine kinase inhibitor. It is a small-molecule drug designed to inhibit the activity of several protein kinases, including BCR-ABL, SRC family kinases, c-KIT, PDGFR, and EPHA2.
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Dasatinib is a small-molecule tyrosine kinase inhibitor. It is designed to target and inhibit the Bcr-Abl kinase, which is a driver of chronic myeloid leukemia (CML) and other hematological malignancies.
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DMSO is a versatile organic solvent commonly used in laboratory settings. It has a high boiling point, low viscosity, and the ability to dissolve a wide range of polar and non-polar compounds. DMSO's core function is as a solvent, allowing for the effective dissolution and handling of various chemical substances during research and experimentation.
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Imatinib is a tyrosine kinase inhibitor. It is a laboratory reagent used in research applications.
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Dasatinib is a tyrosine kinase inhibitor developed by Bristol-Myers Squibb for use in the treatment of certain types of cancer. It functions by inhibiting the activity of multiple tyrosine kinases, including Bcr-Abl, Src family, c-Kit, and PDGFR. Dasatinib is approved for the treatment of Philadelphia chromosome-positive chronic myeloid leukemia and acute lymphoblastic leukemia.
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Saracatinib is a small-molecule tyrosine kinase inhibitor. It is used in research laboratories for the study of cellular signaling pathways.
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Fetal Bovine Serum (FBS) is a cell culture supplement derived from the blood of bovine fetuses. FBS provides a source of proteins, growth factors, and other components that support the growth and maintenance of various cell types in in vitro cell culture applications.
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Ponatinib is a tyrosine kinase inhibitor, a type of laboratory equipment used for research purposes. It functions by inhibiting the activity of certain enzymes involved in cellular signaling pathways.
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Nilotinib is a synthetic chemical compound that functions as a tyrosine kinase inhibitor. It is primarily used in research and laboratory settings to study cellular signaling pathways and biochemical processes.

More about "Dasatinib"

Dasatinib is a powerful tyrosine kinase inhibitor that has been approved for the treatment of chronic myelogenous leukemia (CML) and Philadelphia chromosome-positive acute lymphoblastic leukemia (Ph+ ALL).
This multi-targeted kinase inhibitor works by blocking the activity of several key enzymes, including BCR-ABL, SRC, c-KIT, and PDGFR, which play crucial roles in the growth and survival of leukemia cells.
One of the key advantages of Dasatinib is its ability to effectively inhibit leukemia cells that are resistant or intolerant to other treatments, such as Imatinib.
This makes it a valuable option for patients who have failed to respond to other tyrosine kinase inhibitors (TKIs) like Imatinib or Nilotinib.
Researchers studying Dasatinib can utilize the AI-driven platform of PubCompare.ai to streamline their research process.
This innovative tool allows them to easily locate the most relevant protocols from literature, pre-prints, and patents, while also leveraging AI-powered comparisons to identify the optimal protocols and products for their Dasatinib research.
In addition to Dasatinib, researchers may also explore the use of other compounds, such as DMSO (dimethyl sulfoxide) and FBS (fetal bovine serum), which are commonly used in cell culture experiments.
Saracatinib, another SRC-family kinase inhibitor, may also be of interest in Dasatinib-related studies.
By taking advantage of the insights and tools provided by PubCompare.ai, researchers can enhance the reproducibility and accuracy of their Dasatinib studies, ultimately leading to more efficient and effective research outcomes.