The venetoclax 3-D structure was constructed for docking simulation with a human ABCG2 model as previously described [57 (link),58 (link)]. Wild-type human ABCG2 protein model (6ETI) was obtained from RCSB Protein Data Bank (RCSB PDB, http://www.rcsb.org ). The protein structure was an inward-facing inhibitor-bound wild-type (R482) ABCG2 with a resolution of 3.1 Å [12 (link)]. Docking calculations were performed in AutoDock Vina (version 1.1.2) [59 (link)]. Hydrogen atoms and partial charges were added using AutoDockTools (ADT, version 1.5.4). Docking conformation and interactions were visualized in PyMOL (version 2.3, educational version). Docking grid center coordinates were determined from the bound inhibitor in 6ETI model. When docking within the ATP-binding site, the grid center was set referring to another ATP-binding human ABCG2 model (6HZM) by locating the same sets of residues surrounding the bound ATP. Receptor/ligand preparation and docking simulation were performed using default settings. The top-scoring (affinity score: kcal/mol) result was selected for further analysis and visualization. All docking computations were performed on a MacBook Pro with 4-core CPU and macOS Mojave 10.14.3 system.
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Venetoclax
Venetoclax
Venetoclax is a potent and selective inhibitor of the anti-apoptotic protein BCL-2, which is overexpressed in many cancers.
It has shown promising results in the treatment of chronic lymphocytic leukemia, acute myleoid leukemia, and other hematologic malignancies.
PubCompare.ai helps researchers optimize Venetoclax research by identifying the most effective protocols from published literature, pre-prints, and patents.
Its AI-driven comparisons enhance reproducibility and accuracy, ensuring researchers can find the best Venetoclax products and procedures to advance their studies.
Explore the power of PubCompare.ai and take your Venetoclax research to new heights.
It has shown promising results in the treatment of chronic lymphocytic leukemia, acute myleoid leukemia, and other hematologic malignancies.
PubCompare.ai helps researchers optimize Venetoclax research by identifying the most effective protocols from published literature, pre-prints, and patents.
Its AI-driven comparisons enhance reproducibility and accuracy, ensuring researchers can find the best Venetoclax products and procedures to advance their studies.
Explore the power of PubCompare.ai and take your Venetoclax research to new heights.
Most cited protocols related to «Venetoclax»
ABCG2 protein, human
Binding Sites
Homo sapiens
Hydrogen
Ligands
Proteins
venetoclax
Antibodies
Apoptosis
BCL2 protein, human
cabazitaxel
Carboplatin
Cell Survival
Cisplatin
Docetaxel
Homo sapiens
Oligonucleotides
PC 3 Cell Line
SB 265610
Sulfoxide, Dimethyl
venetoclax
Western Blotting
NMEs approved by the FDA from 2010–2016 were identified from FDA reports (35 ) and designated “first in class” or “follow-on” based on assessment by the FDA (36 ). NMEs were designated “phenotypic” or “targeted” based on the criteria of Swinney et al. (29 (link), 30 (link)). Known molecular targets for each NME and approved clinical indications were determined from FDA labels (37 ) and other sources as described in SI Methods . For biological products comprising a naturally occurring protein, the target is considered to be the normal counterpart of the biological product.
PubMed searches were performed for each drug (“drug search”) using an ontology of drug name synonyms in ChEMBL (38 ) and the National Center for Biotechnology Information (NCBI) Query Translation. PubMed searches for molecular targets (“target searches”) were performed using Boolean search terms and NCBI Query Translation. The PubMed Identifier (PMID) was recorded for each publication identified in the search.
Data associating publications with specific NIH-funded projects were obtained from the RePORTER/ExPORTER format files catalog (39 ). The “Link Tables for Project to Publication Associations” (hereafter, “Link Table”) associates PMIDs from 1980–present with projects that provided research funding and the PMID year. Each PMID was associated with a funding year corresponding to the project number and year in the Link Table. The Project Data Table provides the fiscal year cost for each project (2000–present). Costs were assigned for each funding year corresponding to the program cost in the year associated with the PMID in the Link Table. For publications with dates 1–4 y after the end of the project, costs for the final year of the project were used. The activity code associated with the core project number indicates the grant type.
Redundant identification of PMIDs and funding years occurred when a publication was identified in different drug or target searches or was cited in more than one supporting project. Consequently, each analysis required two steps, first identifying all PMIDs or project years with the specific properties being characterized and then eliminating duplicates within that subset.
Funding years were categorized as “drug” if one or more of the PMIDs associated with that project were identified in a drug search. Funding years were categorized as “target only” if every PMID associated with that project was identified through target searches. The process is illustrated in a schematic (Fig. S1 ), and an illustrative example (venetoclax) is shown in Fig. S2 .
Data analysis and visualization were performed in PostgreSQL, Excel, and Tableau. All costs are given in constant dollars inflation-adjusted to 2016 using the US Bureau of Labor Statistics’ consumer price index (CPI) (40 ). A more detailed description of the analytical methods is provided inSI Methods . The search terms, summary statistics of each search, and complete dataset of PMIDs and associated funding years are provided in Dataset S1 .
PubMed searches were performed for each drug (“drug search”) using an ontology of drug name synonyms in ChEMBL (38 ) and the National Center for Biotechnology Information (NCBI) Query Translation. PubMed searches for molecular targets (“target searches”) were performed using Boolean search terms and NCBI Query Translation. The PubMed Identifier (PMID) was recorded for each publication identified in the search.
Data associating publications with specific NIH-funded projects were obtained from the RePORTER/ExPORTER format files catalog (39 ). The “Link Tables for Project to Publication Associations” (hereafter, “Link Table”) associates PMIDs from 1980–present with projects that provided research funding and the PMID year. Each PMID was associated with a funding year corresponding to the project number and year in the Link Table. The Project Data Table provides the fiscal year cost for each project (2000–present). Costs were assigned for each funding year corresponding to the program cost in the year associated with the PMID in the Link Table. For publications with dates 1–4 y after the end of the project, costs for the final year of the project were used. The activity code associated with the core project number indicates the grant type.
Redundant identification of PMIDs and funding years occurred when a publication was identified in different drug or target searches or was cited in more than one supporting project. Consequently, each analysis required two steps, first identifying all PMIDs or project years with the specific properties being characterized and then eliminating duplicates within that subset.
Funding years were categorized as “drug” if one or more of the PMIDs associated with that project were identified in a drug search. Funding years were categorized as “target only” if every PMID associated with that project was identified through target searches. The process is illustrated in a schematic (
Data analysis and visualization were performed in PostgreSQL, Excel, and Tableau. All costs are given in constant dollars inflation-adjusted to 2016 using the US Bureau of Labor Statistics’ consumer price index (CPI) (40 ). A more detailed description of the analytical methods is provided in
Biological Products
Obstetric Labor
Pharmaceutical Preparations
Phenotype
Proteins
venetoclax
The crystallisation behaviour of venetoclax was studied using the protocol by Baird et al. [21 (link)]. In brief, 2 mg venetoclax was weighed into a T-zero pan and heated to 165 °C at 10 °C/min, held isothermally for 3 min, cooled to −75 °C at 20 °C/min and reheated to 160 °C at 10 °C/min. As no crystallisation was observed during cooling and reheating, the heating rate was lowered to 2 °C/min. The experiments were run in triplicates. The glass-forming ability of drugs was categorised according to Baird et al. into class I (crystallisation during cooling prior to the glass transition temperature (Tg)), class II (no crystallisation during cooling, but crystallisation was observed upon reheating above Tg) and class III (no crystallisation observed during cooling nor reheating to its melting point) [21 (link)]. Additionally, the absence of crystals after heating and upon cooling was confirmed by hot-stage microscopy.
The samples were analysed using an Agilent 1200 series HPLC system (Agilent Technology Inc., Santa Clara, CA, US) that comprised a binary pump, degasser, column oven, autosampler and variable wavelength detector. Data analysis was performed with EZChrom Elite® version 3.2. Venetoclax was separated from the sample matrix with a Zorbax® Eclipse Plus-C18 column (5 μm, 4.6 mm × 150 mm) including a Zorbax® Eclipse Plus-C18 guard column (5 μm, 4.6 mm × 12.5 mm) at 40 °C. The mobile phase consisted of (a) acetonitrile with 0.5% (v/v) trifluoroacetic acid (TFA) and (b) water with 0.5% (v/v) TFA at a ratio of 53:47 (a:b, v/v) and was used at a flow rate of 1 mL/min. The injection volume was 20 μL and the detection wavelength was set to 316 nm. The limit of detection (LOD) was 20 ng/mL and the limit of quantification (LOQ) was 65 ng/mL, determined using the standard error of y-intercept according to the International Council for Harmonisation (ICH) Q2 guideline [22 ].
For the in vitro lipolysis experiment 1.583 g of lipid formulation was dispersed into 57 mL of digestion buffer for 10 min. Three 1 mL samples were taken at 2.5, 5 and 10 min from the middle of the vessel. pH of the media was adjusted and maintained at 6.5 using 0.2 M NaOH. To the remaining 54 mL (1.5 g lipid formulation) dispersion 6 mL of pancreatin extract was added to initialise digestion. After 60 min the released non-ionised free fatty acids (FFAs) were determined by a pH increase in the buffer to pH 9. An additional blank titration using the digestion buffer was performed and the released mmol of FFAs from the blank was subtracted from the mmol of FFAs released from the surfactant formulations
Samples of 4.9 mL were taken at 5, 10, 15, 30, 45 and 60 min during the digestion experiment from the middle of the vessel. In each sample and after 60 min the enzymes were inhibited by the addition of 1 M 4- Bromophenylboronic acid in methanol (5 μL per mL sample). All samples containing a lipid phase were centrifuged at 37 °C and 400,000× g for 30 min (Beckman Coulter Optima L-90K, Rotor: VTI 65.2). Samples, that did not contain a lipid phase (aqueous suspension) were centrifuged at 37 °C and 21,000× g for 30 min using a benchtop centrifuge (Micro 200 R, Hettich GmbH, Germany). The lipid phase was dissolved in a mixture of ethyl acetate and acetonitrile (3:1 v/v) and diluted with 1:10 (v/v) with a mixture of ethyl acetate and acetonitrile (1:3 v/v). The solid phase was added to 2 mL of a mixture of ethyl acetate and acetonitrile (3:7 v/v) and ultrasonicated for 10 min. The aqueous phase was diluted 1:10 (v/v) with mobile phase. The resulting lipid, solid and aqueous phase samples were subsequently centrifuged at 37 °C and 21,000× g for 30 min. The resulting supernatants were diluted further with mobile phase and analysed by HPLC as stated above.
The digestibility of Peceol® was calculated as previously described [26 ] using the theoretical released FFAs per g of Peceol® utilising the saponification value (166 mg) on the certificate of analysis:
where theoretical FFAs are the maximal amount of FFAs that can theoretically be released from Peceol® in mmol per g of excipient, SV the saponification value in mg KOH per g of excipient and 56.1056 g/mol the molecular weight of KOH. The maximal absolute amount of theoretically released FFAs can be calculated by multiplying by the amount of excipient used (i.e., 1.5 g in this study). The % digested can be calculated as follows:
where the released FFAs provide the total amount that is released at the end of the digestion experiment including the non-ionised FFAs determined by raising the pH to 9.0 and the theoretical FFAs were calculated using Equation (1).
In the in vitro experiments, the powder formulation was resembled by an aqueous suspension. The aqueous suspension was prepared by adding 50 mg venetoclax to 1 mL water followed by ultrasonication. The suspensions were stirred constantly to prevent sedimentation before usage. The Peceol® suspension was prepared by melting Peceol® at 50 °C and cooling it to 37 °C before adding 50 mg venetoclax to 1 mL Peceol® followed by an over-night stir.
The supersaturated lipid solution was prepared by adding 300 mg venetoclax to 6 mL Peceol® (50 mg/mL). The mixture was stirred at 600 rpm (Stuart CD 162 heat-stir, Cole-Parmer, UK) and sealed with parafilm. A continuous nitrogen stream into the vial removed oxygen throughout the manufacturing process. After suspending the drug particles, the obtained suspension was slowly heated to 70 °C (Stuart CD 162 heat-stir, Cole-Parmer, UK). The mixture was kept at 70 °C for 10 min and cooled to 25 °C while continuously stirring at 600 rpm. Subsequently, the mixture was heated a second time under the same conditions as stated above and cooled to room temperature. The absence of crystals was confirmed using cross-polarised light microscopy. For the in vivo study, sLBF was administered in hard gelatine capsules of size 000 (1 mL per capsule).
The statistical analysis for all in vivo parameters was performed using a one-way ANOVA after using Bartlett’s test to check for equal variance. The pairwise comparison of the groups was based on Tukey’s multiple range test. All statistical analyses were calculated using GraphPad Prism® 5 (GraphPad Software Inc., San Diego, CA, US).
The following drugs were kindly provided by Abbvie: venetoclax, A1210477, and A1331852. The following drugs were purchased: S63845 for in vitro and in vivo studies (S-63845; Chemietek), Lapatinib Ditosylate (Tykerb) for in vitro and in vivo studies (M1802; Abmole), and Fulvestrant (S1191; Selleckchem).
The antibodies used in this study (clone/cat. no.) were as follows: Anti-Bak (Ab-1 clone for IP) (AM03; EMD Millipore), anti-BAX (6A7 clone for IP) (sc-23959; Santa Cruz), anti-BAX (N-20 clone) (sc-493; Santa Cruz), anti-Bak (3814S; Cell Signaling), anti-Bim (C34C5) (2933S; Cell Signaling), anti-Noxa (D8L7U) (14766S; Cell Signaling), anti–Bcl-2 (D55G8) (Human Specific) (4223S; Cell Signaling), anti-Cleaved PARP (Asp214) (D64E10) (5625S; Cell Signaling), anti-GAPDH (6C5) (sc-32233; Santa Cruz), anti-HER2/ErbB2 (29D8) (2165S; Cell Signaling), anti–MCL-1 (S-19) (sc-819; Santa Cruz), anti–BCL-xL (54H6) (2764S; Cell Signaling), 4E-BP1 (53H11) (9644S; Cell Signaling), phospho-4E-BP1 (Thr37/46) (236B4) (2855S; Cell Signaling), anti–Phospho-S6 Ribosomal Protein (Ser240/244) (D68F8) (5364S; Cell Signaling), anti–Phospho-Akt (Thr308) (244F9) (4056S; Cell Signaling), anti-ERα (D8H8) (8644S; Cell Signaling), anti–Phospho-HER2/ErbB2 (Tyr1248) (2247S; Cell Signaling), anti-Akt (C67E7) (4691S; Cell Signaling), anti-cleaved Caspase-3 (Asp175) (5A1E; Cell Signaling), Normal Rabbit IgG for IP (sc-2027; Santa Cruz), and Normal Mouse IgG for IP (sc-2025; Santa Cruz).
All mouse experiments were approved and performed in accordance with the Institutional Animal Care and Use Committee at Virginia Commonwealth University (VCU).
The antibodies used in this study (clone/cat. no.) were as follows: Anti-Bak (Ab-1 clone for IP) (AM03; EMD Millipore), anti-BAX (6A7 clone for IP) (sc-23959; Santa Cruz), anti-BAX (N-20 clone) (sc-493; Santa Cruz), anti-Bak (3814S; Cell Signaling), anti-Bim (C34C5) (2933S; Cell Signaling), anti-Noxa (D8L7U) (14766S; Cell Signaling), anti–Bcl-2 (D55G8) (Human Specific) (4223S; Cell Signaling), anti-Cleaved PARP (Asp214) (D64E10) (5625S; Cell Signaling), anti-GAPDH (6C5) (sc-32233; Santa Cruz), anti-HER2/ErbB2 (29D8) (2165S; Cell Signaling), anti–MCL-1 (S-19) (sc-819; Santa Cruz), anti–BCL-xL (54H6) (2764S; Cell Signaling), 4E-BP1 (53H11) (9644S; Cell Signaling), phospho-4E-BP1 (Thr37/46) (236B4) (2855S; Cell Signaling), anti–Phospho-S6 Ribosomal Protein (Ser240/244) (D68F8) (5364S; Cell Signaling), anti–Phospho-Akt (Thr308) (244F9) (4056S; Cell Signaling), anti-ERα (D8H8) (8644S; Cell Signaling), anti–Phospho-HER2/ErbB2 (Tyr1248) (2247S; Cell Signaling), anti-Akt (C67E7) (4691S; Cell Signaling), anti-cleaved Caspase-3 (Asp175) (5A1E; Cell Signaling), Normal Rabbit IgG for IP (sc-2027; Santa Cruz), and Normal Mouse IgG for IP (sc-2025; Santa Cruz).
All mouse experiments were approved and performed in accordance with the Institutional Animal Care and Use Committee at Virginia Commonwealth University (VCU).
Antibodies
BCL2 protein, human
Caspase 3
Clone Cells
EIF4EBP1 protein, human
erbb2 Gene
Fulvestrant
GAPDH protein, human
Homo sapiens
Institutional Animal Care and Use Committees
Lapatinib Ditosylate
Mus
Pharmaceutical Preparations
Rabbits
Ribosomal Proteins
S63845
Trastuzumab
Tykerb
venetoclax
Most recents protocols related to «Venetoclax»
First, each attribute was associated to standardized (min-max normalized) Venetoclax resistance from BEAT-AML study at univariate settings using lm function in R environment (v4.1.0) (Supplementary Table S12 ). Then, p-values and coefficients were calculated using summary function and then p-values were multiple hypothesis corrected using Benjamini-Hochberg procedure. For multivariate models, FAB classification, and ECC levels (except CD14+ Monocytes) were excluded as only 76 out of 460 samples of BEAT-AML had FAB classifications and as other ECCs are not independent of CD14+ Monocyte percentages (as the question is whether CD14+ Monocyte levels are independently predictive of Venetoclax resistance given BCL-2 expression in the same model). Again, p-values and coefficients were calculated with summary function and plotted in a volcano plot (Fig. 3f , Supplementary Table S13 ).
Embryos were dechorionated and resuspended in 1 mL of 1X E3 media with 0.004% 1-phenyl-2-thiourea (PTU) and incubated with Venetoclax or Flavopiridol (MedChem Express) at the desired drug concentration in 12-well dishes beginning at 24 hpf. Dimethyl sulfoxide (DMSO) was used to solubilize the drugs and was also used as a vehicle for control experiments. Drug treatments were continuous at 28˚C until 72 hpf when embryos were fixed in 4% PFA/PBS.
For recovery experiments, lyz:MLL-ENL injected embryos were dechorionated and split evenly in a 12 well dish. Embryos were then incubated in 1X E3 media and 0.004% PTU containing either 200 nM Venetoclax, 200 nM Flavopiridol, 200 nM Venetoclax and Flavopiridol, or DMSO beginning at 24 hpf at 28˚C before being fixed in 4% PFA/PBS at 72 hpf.
For recovery experiments, lyz:MLL-ENL injected embryos were dechorionated and split evenly in a 12 well dish. Embryos were then incubated in 1X E3 media and 0.004% PTU containing either 200 nM Venetoclax, 200 nM Flavopiridol, 200 nM Venetoclax and Flavopiridol, or DMSO beginning at 24 hpf at 28˚C before being fixed in 4% PFA/PBS at 72 hpf.
One hundred µL of liquor was mixed with an equal volume of methanol, containing Navitoclax as internal standard (1 ng/mL). For serum, 100 µL were mixed with 900 µL methanol, containing 10 ng/mL Navitoclax. The samples were centrifuged, and the supernatant was measured by LC-MS. Analysis was done on an Agilent 1290 HPLC coupled to a QTOF 5600 mass spectrometer (AB Sciex). Samples were separated on a Zorbax SB-C18 column (2.1 × 50 mm; Agilent) using a gradient as follows: 0 min (70% solvent B: Methanol), 2.5 min (90% B), 3 min (90% B), 3.1 min (70% B), 5.5 (70% B). Solvent A was 5 mM ammonium acetate. The flow rate was 0.6 mL/min. Navitoclax and Venetoclax were detected in product ion scan mode (positive ionization) and by monitoring the corresponding MSMS fragment (974 -> 742 and 868 -> 321, respectively). For quantification, a respective 6-point calibration curve was used for each sample type (liquor: 2–50 ng mL−1 and serum 0.1–10 µg mL−1). Calibration samples were prepared by spiking the appropriate amount of Venetoclax in drug-free liquor and serum, respectively. Data analysis was performed using Analyst TF 1.7.1 and MultiQuant 3.0.2 (AB Sciex).
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CD34+ blasts cultured in R20 media were stimulated with 10 ng/ml of human recombinant IFN-γ. Unstimulated (PBS) blasts were included for comparison. After 12 h of culture, blasts with or without IFN-γ stimulation were counted and plated in a U-bottom 96-well plate (5 × 104 per well), with or without 10 ng/ml of human recombinant IFN-γ, along with titrated concentrations of venetoclax [Cat# S8048, Selleck Chemicals]. After 24 h of incubation, cell viability was assessed using the CellTiter-Glo luminescent cell viability assay [Cat# G7572, Promega] following the manufacturer’s protocol. IC50 values were calculated using GraphPad Prism version 10.1.0.
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Venetoclax is a small molecule inhibitor of the B-cell lymphoma 2 (BCL-2) protein. It is designed to selectively inhibit the anti-apoptotic activity of the BCL-2 protein, which is often overexpressed in certain types of cancer cells.
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Venetoclax is a laboratory reagent provided by MedChemExpress. It is a small-molecule inhibitor of the anti-apoptotic protein BCL-2. Venetoclax functions by binding to BCL-2, which can lead to the induction of apoptosis in certain cell types.
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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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Venetoclax (ABT-199) is a selective and potent inhibitor of the anti-apoptotic protein BCL-2. It is a small molecule that binds to BCL-2, preventing it from sequestering pro-apoptotic proteins, thereby promoting apoptosis in cancer cells.
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Prism 8 is a data analysis and graphing software developed by GraphPad. It is designed for researchers to visualize, analyze, and present scientific data.
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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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Penicillin/streptomycin is a commonly used antibiotic solution for cell culture applications. It contains a combination of penicillin and streptomycin, which are broad-spectrum antibiotics that inhibit the growth of both Gram-positive and Gram-negative bacteria.
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CellTiter-Glo is a cell viability assay that quantifies the amount of ATP present in metabolically active cells. It provides a luminescent readout proportional to the amount of ATP, which is an indicator of the presence of viable cells.
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Bcl-xL is a protein that plays a role in the regulation of apoptosis, or programmed cell death. It is a member of the Bcl-2 family of proteins and functions as an anti-apoptotic factor, helping to prevent cell death. Bcl-xL is commonly used in cell biology research to study the mechanisms of apoptosis and cell survival.
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Prism 9 is a powerful data analysis and graphing software developed by GraphPad. It provides a suite of tools for organizing, analyzing, and visualizing scientific data. Prism 9 offers a range of analysis methods, including curve fitting, statistical tests, and data transformation, to help researchers and scientists interpret their data effectively.
More about "Venetoclax"
Venetoclax, also known as ABT-199, is a potent and selective inhibitor of the anti-apoptotic protein BCL-2, which is overexpressed in many types of cancer, particularly chronic lymphocytic leukemia (CLL), acute myeloid leukemia (AML), and other hematological malignancies.
This small-molecule drug has shown promising results in the treatment of these conditions, as it effectively induces apoptosis (programmed cell death) in cancer cells.
To optimize Venetoclax research, researchers can utilize the AI-driven comparisons and data analysis provided by PubCompare.ai.
This platform helps identify the most effective protocols, products, and procedures from published literature, preprints, and patents, enhancing the reproducibility and accuracy of Venetoclax-related studies.
By leveraging the power of PubCompare.ai, researchers can explore the latest advancements in Venetoclax research and take their studies to new heights.
In addition to Venetoclax, researchers may also utilize other reagents and tools to support their investigations, such as fetal bovine serum (FBS) for cell culture, the Prism 8 and Prism 9 software for data analysis and visualization, dimethyl sulfoxide (DMSO) as a solvent, penicillin/streptomycin for antibiotic protection, and the CellTiter-Glo assay for measuring cell viability.
Additionally, the Bcl-xL protein, a member of the Bcl-2 family, may also be of interest in understanding the mechanisms of action and potential resistance pathways related to Venetoclax.
By leveraging the insights and resources available through PubCompare.ai and incorporating a diverse range of related terms and concepts, researchers can enhance the effectiveness, reproducibility, and impact of their Venetoclax-focused studies.
This small-molecule drug has shown promising results in the treatment of these conditions, as it effectively induces apoptosis (programmed cell death) in cancer cells.
To optimize Venetoclax research, researchers can utilize the AI-driven comparisons and data analysis provided by PubCompare.ai.
This platform helps identify the most effective protocols, products, and procedures from published literature, preprints, and patents, enhancing the reproducibility and accuracy of Venetoclax-related studies.
By leveraging the power of PubCompare.ai, researchers can explore the latest advancements in Venetoclax research and take their studies to new heights.
In addition to Venetoclax, researchers may also utilize other reagents and tools to support their investigations, such as fetal bovine serum (FBS) for cell culture, the Prism 8 and Prism 9 software for data analysis and visualization, dimethyl sulfoxide (DMSO) as a solvent, penicillin/streptomycin for antibiotic protection, and the CellTiter-Glo assay for measuring cell viability.
Additionally, the Bcl-xL protein, a member of the Bcl-2 family, may also be of interest in understanding the mechanisms of action and potential resistance pathways related to Venetoclax.
By leveraging the insights and resources available through PubCompare.ai and incorporating a diverse range of related terms and concepts, researchers can enhance the effectiveness, reproducibility, and impact of their Venetoclax-focused studies.