Review




Structured Review

Proteintech cmpk
Figure 2. BBB cells differentially express TFV and FTC transporters and nucleotide-metabolizing kinases. Primary human BBB cell monoculture and hepatocyte lysates were processed for LC−MS/MS-based proteomics and protein concentrations for (A) ENT1, (B) MRP4, and (C) MRP1 TFV/FTC transporters, <t>(D)</t> <t>AK2,</t> (E) CKB, (F) PKLR, and (G) PKM TFV nucleotide-metabolizing kinases, as well as (H) <t>CMPK1,</t> (I) DCK, (J) PGK1, and (K) TK1 FTC nucleotide-metabolizing kinases, each with respective protein Western blots to confirm protein abundance in BBB cells. Concentrations of proteins of interest were measured by Proteomic Ruler. Four to five independent experiments with two LC−MS/MS injection replicates each were performed (represented as individual dots). Replicates with missing LC−MS/MS values were omitted from the plot. >2 independent experiments with missing values were reported as not reliably detected (ND) by proteomics analyses. Data represented as mean ± standard deviation. Statistical analysis was performed using Brown−Forsythe and Welch ANOVA or Kruskal−Wallis ANOVA by GraphPad software. *p < 0.05, **p < 0.01, ***p < 0.001, and ****p < 0.0001.
Cmpk, supplied by Proteintech, used in various techniques. Bioz Stars score: 93/100, based on 2 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/cmp/UMP%2FCMP+kinase+Antibody/pm39539261-250-49-51
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Images

1) Product Images from "All Blood Brain Barrier Cell Types Demonstrate Capability to Influence Differential Tenofovir and Emtricitabine Metabolism and Transport in the Brain."

Article Title: All Blood Brain Barrier Cell Types Demonstrate Capability to Influence Differential Tenofovir and Emtricitabine Metabolism and Transport in the Brain.

Journal: ACS pharmacology & translational science

doi: 10.1021/acsptsci.4c00510

Figure 2. BBB cells differentially express TFV and FTC transporters and nucleotide-metabolizing kinases. Primary human BBB cell monoculture and hepatocyte lysates were processed for LC−MS/MS-based proteomics and protein concentrations for (A) ENT1, (B) MRP4, and (C) MRP1 TFV/FTC transporters, (D) AK2, (E) CKB, (F) PKLR, and (G) PKM TFV nucleotide-metabolizing kinases, as well as (H) CMPK1, (I) DCK, (J) PGK1, and (K) TK1 FTC nucleotide-metabolizing kinases, each with respective protein Western blots to confirm protein abundance in BBB cells. Concentrations of proteins of interest were measured by Proteomic Ruler. Four to five independent experiments with two LC−MS/MS injection replicates each were performed (represented as individual dots). Replicates with missing LC−MS/MS values were omitted from the plot. >2 independent experiments with missing values were reported as not reliably detected (ND) by proteomics analyses. Data represented as mean ± standard deviation. Statistical analysis was performed using Brown−Forsythe and Welch ANOVA or Kruskal−Wallis ANOVA by GraphPad software. *p < 0.05, **p < 0.01, ***p < 0.001, and ****p < 0.0001.
Figure Legend Snippet: Figure 2. BBB cells differentially express TFV and FTC transporters and nucleotide-metabolizing kinases. Primary human BBB cell monoculture and hepatocyte lysates were processed for LC−MS/MS-based proteomics and protein concentrations for (A) ENT1, (B) MRP4, and (C) MRP1 TFV/FTC transporters, (D) AK2, (E) CKB, (F) PKLR, and (G) PKM TFV nucleotide-metabolizing kinases, as well as (H) CMPK1, (I) DCK, (J) PGK1, and (K) TK1 FTC nucleotide-metabolizing kinases, each with respective protein Western blots to confirm protein abundance in BBB cells. Concentrations of proteins of interest were measured by Proteomic Ruler. Four to five independent experiments with two LC−MS/MS injection replicates each were performed (represented as individual dots). Replicates with missing LC−MS/MS values were omitted from the plot. >2 independent experiments with missing values were reported as not reliably detected (ND) by proteomics analyses. Data represented as mean ± standard deviation. Statistical analysis was performed using Brown−Forsythe and Welch ANOVA or Kruskal−Wallis ANOVA by GraphPad software. *p < 0.05, **p < 0.01, ***p < 0.001, and ****p < 0.0001.

Techniques Used: Liquid Chromatography with Mass Spectroscopy, Western Blot, Quantitative Proteomics, Injection, Standard Deviation, Software

Figure 4. BBB TFV/FTC nucleotide-metabolizing kinases and transporters are impacted in a cell-dependent manner by ART and HIV. Primary human pericyte and astrocyte monocultures were exposed to ART (10 μM TFV, 10 μM FTC, and 10 μM DTG), HIV (5 ng/mL), or HIV + ART (10 μM TFV, 10 μM FTC, 10 μM DTG, and 5 ng/mL HIV) for 24 h at 37 °C, 5% CO2. Treatment with a vehicle was used as a control. Pericytes and astrocytes were lysed and processed for proteomics analyses. Concentrations of proteins of interest were measured by Proteomic Ruler. After exposure, changes in protein concentration were assessed in (A−G) astrocytes (astro) for (A) AK2, (B) CMPK1, (C) ENT1, (D) P-gp, (E) PGK1, (F) MRP4, and (G) MRP1. Similarly, changes in protein concentration were assessed in (H−L) pericytes (per) for (H) CKB, (I) MRP4, (J) MRP1, (K) PGK1, and (L) TK1. The significant changes (A−L) in the concentrations of TFV and FTC transporters and metabolizing enzymes after ART, HIV, or HIV + ART exposure relative to vehicle were (M) summarized for astrocytes (astro) and pericytes (per). An arrow next to each protein denotes an increase (upward arrow) or decrease (downward arrow) in protein concentration after ART, HIV, or HIV + ART exposure relative to the vehicle. Four independent experiments with two LC−MS/MS injection replicates each were performed per condition (represented as individual dots). Replicates with missing LC−MS/MS values were omitted from the plot. >2 independent experiments with missing values were reported as not reliably detected (ND) by proteomics analyses. Data represented as mean ± standard deviation. Statistical analysis was performed using Brown−Forsythe and Welch ANOVA or Kruskal−Wallis ANOVA by GraphPad software. *p < 0.05, **p < 0.01, ***p < 0.001, and ****p < 0.0001.
Figure Legend Snippet: Figure 4. BBB TFV/FTC nucleotide-metabolizing kinases and transporters are impacted in a cell-dependent manner by ART and HIV. Primary human pericyte and astrocyte monocultures were exposed to ART (10 μM TFV, 10 μM FTC, and 10 μM DTG), HIV (5 ng/mL), or HIV + ART (10 μM TFV, 10 μM FTC, 10 μM DTG, and 5 ng/mL HIV) for 24 h at 37 °C, 5% CO2. Treatment with a vehicle was used as a control. Pericytes and astrocytes were lysed and processed for proteomics analyses. Concentrations of proteins of interest were measured by Proteomic Ruler. After exposure, changes in protein concentration were assessed in (A−G) astrocytes (astro) for (A) AK2, (B) CMPK1, (C) ENT1, (D) P-gp, (E) PGK1, (F) MRP4, and (G) MRP1. Similarly, changes in protein concentration were assessed in (H−L) pericytes (per) for (H) CKB, (I) MRP4, (J) MRP1, (K) PGK1, and (L) TK1. The significant changes (A−L) in the concentrations of TFV and FTC transporters and metabolizing enzymes after ART, HIV, or HIV + ART exposure relative to vehicle were (M) summarized for astrocytes (astro) and pericytes (per). An arrow next to each protein denotes an increase (upward arrow) or decrease (downward arrow) in protein concentration after ART, HIV, or HIV + ART exposure relative to the vehicle. Four independent experiments with two LC−MS/MS injection replicates each were performed per condition (represented as individual dots). Replicates with missing LC−MS/MS values were omitted from the plot. >2 independent experiments with missing values were reported as not reliably detected (ND) by proteomics analyses. Data represented as mean ± standard deviation. Statistical analysis was performed using Brown−Forsythe and Welch ANOVA or Kruskal−Wallis ANOVA by GraphPad software. *p < 0.05, **p < 0.01, ***p < 0.001, and ****p < 0.0001.

Techniques Used: Control, Protein Concentration, Liquid Chromatography with Mass Spectroscopy, Injection, Standard Deviation, Software

Related Articles

Western Blot:

Article Title: All Blood Brain Barrier Cell Types Demonstrate Capability to Influence Differential Tenofovir and Emtricitabine Metabolism and Transport in the Brain.
Article Snippet: Total protein concentrations were determined by Bradford Assay with the Bio-Rad Protein Assay Dye reagent concentrate (Bio-Rad, Hercules, CA) following the manufacturer’s instructions. .. Western blots were performed as previously described.16 Blots were probed with antibodies with specificity to BCRP (NBP2-22124, Novus Bio, Centennial, CO), P-gp (PA5-61300, Invitrogen), MRP4 (12705, Cell Signaling Technology), MRP1 (Ab24102, Abcam), ENT1 (PA5-116451, Invitrogen), PGK1 (PA528612, Invitrogen), AK2 (11014-1-AP, Proteintech, Rosemont, IL), CKB/CKM (15137-1-AP, Proteintech), TK (15691-1-AP, Proteintech), CMPK (11360-1-AP, Proteintech), DCK (17758-1-AP, Proteintech), PKM1 (15821-1-AP, Proteintech), and PKLR (2456-1-AP, Proteintech), overnight at 4 °C, washed with TBS-T, and probed with the appropriate secondary antibody (ab97023 and Ab97051, Abcam) for 1 h at room temperature. ..



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Lundbeck reference gpr139 agonists lundbeck cmp 1a
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Image Search Results


a A structure of the active GPR139 bound to the reference compound JNJ-63533054 was used in the ultra-large docking screen. b A library of 235 million lead-like compounds from the ZINC database was docked to the orthosteric site using DOCK3.7, and a set of 68 top-ranked compounds were selected for synthesis. c Primary screening of compounds at 10 µM in Ca 2+ mobilization assay. A threshold of 25% Ca 2+ response was used to select compounds for further evaluation. Data represent mean ± SEM of at least three independent experiments performed in triplicates and are normalized to buffer (0%) and 10 µM of the control ( Lundbeck Cmp 1a , 100%).

Journal: Nature Communications

Article Title: Ultra-large virtual screening unveils potent agonists of the neuromodulatory orphan receptor GPR139

doi: 10.1038/s41467-025-66845-y

Figure Lengend Snippet: a A structure of the active GPR139 bound to the reference compound JNJ-63533054 was used in the ultra-large docking screen. b A library of 235 million lead-like compounds from the ZINC database was docked to the orthosteric site using DOCK3.7, and a set of 68 top-ranked compounds were selected for synthesis. c Primary screening of compounds at 10 µM in Ca 2+ mobilization assay. A threshold of 25% Ca 2+ response was used to select compounds for further evaluation. Data represent mean ± SEM of at least three independent experiments performed in triplicates and are normalized to buffer (0%) and 10 µM of the control ( Lundbeck Cmp 1a , 100%).

Article Snippet: Notably, the EC 50 values of the most potent compounds ( and , EC 50 = 160 and 320 nM, respectively) were comparable to the reference compound Lundbeck Cmp 1a (EC 50 = 200 nM).

Techniques: Control

a Compounds – 5 were pharmacologically characterized for their ability to b stimulate intracellular Ca 2+ mobilization and c inositol monophosphate (IP ) accumulation. Data represent mean ± SEM of at least three independent experiments performed in triplicates and are normalized to buffer (0%) and 10 µM of the control ( Lundbeck Cmp 1a , 100%). The potencies (EC 50 ) determined using the Ca 2+ mobilization assay are shown below each compound structure in ( a ). d Predicted binding modes of compounds – 5 . The receptor is depicted as a cartoon with ligands and selected side chains shown in sticks. Hydrogen bonds are indicated using dashed lines. The structures of the predicted complexes are provided in Supplementary Data .

Journal: Nature Communications

Article Title: Ultra-large virtual screening unveils potent agonists of the neuromodulatory orphan receptor GPR139

doi: 10.1038/s41467-025-66845-y

Figure Lengend Snippet: a Compounds – 5 were pharmacologically characterized for their ability to b stimulate intracellular Ca 2+ mobilization and c inositol monophosphate (IP ) accumulation. Data represent mean ± SEM of at least three independent experiments performed in triplicates and are normalized to buffer (0%) and 10 µM of the control ( Lundbeck Cmp 1a , 100%). The potencies (EC 50 ) determined using the Ca 2+ mobilization assay are shown below each compound structure in ( a ). d Predicted binding modes of compounds – 5 . The receptor is depicted as a cartoon with ligands and selected side chains shown in sticks. Hydrogen bonds are indicated using dashed lines. The structures of the predicted complexes are provided in Supplementary Data .

Article Snippet: Notably, the EC 50 values of the most potent compounds ( and , EC 50 = 160 and 320 nM, respectively) were comparable to the reference compound Lundbeck Cmp 1a (EC 50 = 200 nM).

Techniques: Control, Binding Assay

a , b Structure of core scaffold (R = aromatic ring) explored in optimization and representative analogs of compound 1 with EC 50 values from the Ca 2+ mobilization assay. The blue and green areas in ( a ) show analogs based on six-membered and five-membered ring substituents, respectively. c The reference GPR139 agonists Lundbeck Cmp 1a, JNJ-63533054, TAK-041 , and compound 1.1 were evaluated for their ability to stimulate intracellular Ca 2+ mobilization and IP 1 accumulation. Data represent mean ± SEM of at least three independent experiments performed in triplicates and are normalized to buffer (0%) and 10 µM of the control ( Lundbeck Cmp 1a , 100%). d Chemical structures comparison of the reference agonists and compound 1.1 .

Journal: Nature Communications

Article Title: Ultra-large virtual screening unveils potent agonists of the neuromodulatory orphan receptor GPR139

doi: 10.1038/s41467-025-66845-y

Figure Lengend Snippet: a , b Structure of core scaffold (R = aromatic ring) explored in optimization and representative analogs of compound 1 with EC 50 values from the Ca 2+ mobilization assay. The blue and green areas in ( a ) show analogs based on six-membered and five-membered ring substituents, respectively. c The reference GPR139 agonists Lundbeck Cmp 1a, JNJ-63533054, TAK-041 , and compound 1.1 were evaluated for their ability to stimulate intracellular Ca 2+ mobilization and IP 1 accumulation. Data represent mean ± SEM of at least three independent experiments performed in triplicates and are normalized to buffer (0%) and 10 µM of the control ( Lundbeck Cmp 1a , 100%). d Chemical structures comparison of the reference agonists and compound 1.1 .

Article Snippet: Notably, the EC 50 values of the most potent compounds ( and , EC 50 = 160 and 320 nM, respectively) were comparable to the reference compound Lundbeck Cmp 1a (EC 50 = 200 nM).

Techniques: Control, Comparison