b cereus atcc 27348 Search Results


95
ATCC b cereus atcc 27348
B Cereus Atcc 27348, supplied by ATCC, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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ATCC b cereus groups
B Cereus Groups, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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ATCC pseudomonas aeruginosa atcc 27853 na bacillus cereus atcc 27348 na staphylococcus aureus atcc
Pseudomonas Aeruginosa Atcc 27853 Na Bacillus Cereus Atcc 27348 Na Staphylococcus Aureus Atcc, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Addgene inc plego c backbone
Plego C Backbone, supplied by Addgene inc, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Cayman Chemical magl inhibitor jzl184
Effect of inhibitors of endocannabinoid hydrolysis, alone or in combination with a subthreshold dose of the CB1 receptor antagonist, rimonabant, on cocaine‐induced hyperlocomotion. (A) URB597 (URB; 0.1, 0.3 and 1.0 mg·kg−1), the anandamide hydrolysis inhibitor, did not change cocaine effect (n = 7, 6, 8, 6, 8). (B) A similar pattern was observed after treatment with the 2‐AG hydrolysis inhibitor, <t>JZL184</t> (JZL; 1.0, 3.0 and 10 mg·kg−1) (n = 6, 7, 6, 7, 7). (C) Combined treatment with a subthreshold dose of rimonabant (Rim; 3 mg·kg−1) and URB597(1 mg·kg−1) did not change cocaine‐induced hyperlocomotion (n = 7, 7, 6, 6, 7). (D) Combined treatment with a subthreshold dose of rimonabant (3 mg·kg−1), and JZL184 (10 mg·kg−1), prevented cocaine‐induced hyperlocomotion (n = 8,8,10,8,9). Data shown are individual values with means ± SEM; n as indicated. *P < 0.05, significantly different from vehicle‐vehicle; # P < 0.05, significantly different from vehicle‐cocaine group; ANOVA followed by Newman–Keuls test.
Magl Inhibitor Jzl184, supplied by Cayman Chemical, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Cayman Chemical pd-0325901; meki; mek inhibitor
( A ) Quality control of the co-RNAi screen. Scatter plots showing all replicate measurements of normalized and processed phenotypic feature data for cell count (PCC = 0.95) and cell eccentricity ( B , PCC = 0.92). Plates for which positive (RasGAP1) and negative (Diap1) controls could not be distinguished (Z’-factor < 0.3) were excluded. Data was normalized for plate and batch effects using median normalization and scaled and centered using Z-score analysis. ( C ) RNAi reagents ranked by dsRNA design correlation. dsRNAs were paired by gene to calculate pairwise correlations along 16 selected features. All dsRNAs together showed an average design correlation of PCC = 0.77. Figure C and D show data 96 hr after <t>MEK</t> inhibitor treatment representatively. ( D ) Assay performance assessed by statistical effect size. The multi-variate Z’-factors between the positive control knockdown of RasGAP1 and a negative control knockdown of Pvr were calculated for the selected 16 phenotypic features for <t>the</t> <t>MEKi</t> screen after 96 hr.
Pd 0325901; Meki; Mek Inhibitor, supplied by Cayman Chemical, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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96
Proteintech anti il 1r1
( A ) Quality control of the co-RNAi screen. Scatter plots showing all replicate measurements of normalized and processed phenotypic feature data for cell count (PCC = 0.95) and cell eccentricity ( B , PCC = 0.92). Plates for which positive (RasGAP1) and negative (Diap1) controls could not be distinguished (Z’-factor < 0.3) were excluded. Data was normalized for plate and batch effects using median normalization and scaled and centered using Z-score analysis. ( C ) RNAi reagents ranked by dsRNA design correlation. dsRNAs were paired by gene to calculate pairwise correlations along 16 selected features. All dsRNAs together showed an average design correlation of PCC = 0.77. Figure C and D show data 96 hr after <t>MEK</t> inhibitor treatment representatively. ( D ) Assay performance assessed by statistical effect size. The multi-variate Z’-factors between the positive control knockdown of RasGAP1 and a negative control knockdown of Pvr were calculated for the selected 16 phenotypic features for <t>the</t> <t>MEKi</t> screen after 96 hr.
Anti Il 1r1, supplied by Proteintech, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Proteintech il 1r1
( A ) Quality control of the co-RNAi screen. Scatter plots showing all replicate measurements of normalized and processed phenotypic feature data for cell count (PCC = 0.95) and cell eccentricity ( B , PCC = 0.92). Plates for which positive (RasGAP1) and negative (Diap1) controls could not be distinguished (Z’-factor < 0.3) were excluded. Data was normalized for plate and batch effects using median normalization and scaled and centered using Z-score analysis. ( C ) RNAi reagents ranked by dsRNA design correlation. dsRNAs were paired by gene to calculate pairwise correlations along 16 selected features. All dsRNAs together showed an average design correlation of PCC = 0.77. Figure C and D show data 96 hr after <t>MEK</t> inhibitor treatment representatively. ( D ) Assay performance assessed by statistical effect size. The multi-variate Z’-factors between the positive control knockdown of RasGAP1 and a negative control knockdown of Pvr were calculated for the selected 16 phenotypic features for <t>the</t> <t>MEKi</t> screen after 96 hr.
Il 1r1, supplied by Proteintech, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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ATCC ipm bcs 8
( A ) Quality control of the co-RNAi screen. Scatter plots showing all replicate measurements of normalized and processed phenotypic feature data for cell count (PCC = 0.95) and cell eccentricity ( B , PCC = 0.92). Plates for which positive (RasGAP1) and negative (Diap1) controls could not be distinguished (Z’-factor < 0.3) were excluded. Data was normalized for plate and batch effects using median normalization and scaled and centered using Z-score analysis. ( C ) RNAi reagents ranked by dsRNA design correlation. dsRNAs were paired by gene to calculate pairwise correlations along 16 selected features. All dsRNAs together showed an average design correlation of PCC = 0.77. Figure C and D show data 96 hr after <t>MEK</t> inhibitor treatment representatively. ( D ) Assay performance assessed by statistical effect size. The multi-variate Z’-factors between the positive control knockdown of RasGAP1 and a negative control knockdown of Pvr were calculated for the selected 16 phenotypic features for <t>the</t> <t>MEKi</t> screen after 96 hr.
Ipm Bcs 8, supplied by ATCC, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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99
ATCC pathogenic control strains
( A ) Quality control of the co-RNAi screen. Scatter plots showing all replicate measurements of normalized and processed phenotypic feature data for cell count (PCC = 0.95) and cell eccentricity ( B , PCC = 0.92). Plates for which positive (RasGAP1) and negative (Diap1) controls could not be distinguished (Z’-factor < 0.3) were excluded. Data was normalized for plate and batch effects using median normalization and scaled and centered using Z-score analysis. ( C ) RNAi reagents ranked by dsRNA design correlation. dsRNAs were paired by gene to calculate pairwise correlations along 16 selected features. All dsRNAs together showed an average design correlation of PCC = 0.77. Figure C and D show data 96 hr after <t>MEK</t> inhibitor treatment representatively. ( D ) Assay performance assessed by statistical effect size. The multi-variate Z’-factors between the positive control knockdown of RasGAP1 and a negative control knockdown of Pvr were calculated for the selected 16 phenotypic features for <t>the</t> <t>MEKi</t> screen after 96 hr.
Pathogenic Control Strains, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


Effect of inhibitors of endocannabinoid hydrolysis, alone or in combination with a subthreshold dose of the CB1 receptor antagonist, rimonabant, on cocaine‐induced hyperlocomotion. (A) URB597 (URB; 0.1, 0.3 and 1.0 mg·kg−1), the anandamide hydrolysis inhibitor, did not change cocaine effect (n = 7, 6, 8, 6, 8). (B) A similar pattern was observed after treatment with the 2‐AG hydrolysis inhibitor, JZL184 (JZL; 1.0, 3.0 and 10 mg·kg−1) (n = 6, 7, 6, 7, 7). (C) Combined treatment with a subthreshold dose of rimonabant (Rim; 3 mg·kg−1) and URB597(1 mg·kg−1) did not change cocaine‐induced hyperlocomotion (n = 7, 7, 6, 6, 7). (D) Combined treatment with a subthreshold dose of rimonabant (3 mg·kg−1), and JZL184 (10 mg·kg−1), prevented cocaine‐induced hyperlocomotion (n = 8,8,10,8,9). Data shown are individual values with means ± SEM; n as indicated. *P < 0.05, significantly different from vehicle‐vehicle; # P < 0.05, significantly different from vehicle‐cocaine group; ANOVA followed by Newman–Keuls test.

Journal: British Journal of Pharmacology

Article Title: Opposing roles of CB 1 and CB 2 cannabinoid receptors in the stimulant and rewarding effects of cocaine

doi: 10.1111/bph.14473

Figure Lengend Snippet: Effect of inhibitors of endocannabinoid hydrolysis, alone or in combination with a subthreshold dose of the CB1 receptor antagonist, rimonabant, on cocaine‐induced hyperlocomotion. (A) URB597 (URB; 0.1, 0.3 and 1.0 mg·kg−1), the anandamide hydrolysis inhibitor, did not change cocaine effect (n = 7, 6, 8, 6, 8). (B) A similar pattern was observed after treatment with the 2‐AG hydrolysis inhibitor, JZL184 (JZL; 1.0, 3.0 and 10 mg·kg−1) (n = 6, 7, 6, 7, 7). (C) Combined treatment with a subthreshold dose of rimonabant (Rim; 3 mg·kg−1) and URB597(1 mg·kg−1) did not change cocaine‐induced hyperlocomotion (n = 7, 7, 6, 6, 7). (D) Combined treatment with a subthreshold dose of rimonabant (3 mg·kg−1), and JZL184 (10 mg·kg−1), prevented cocaine‐induced hyperlocomotion (n = 8,8,10,8,9). Data shown are individual values with means ± SEM; n as indicated. *P < 0.05, significantly different from vehicle‐vehicle; # P < 0.05, significantly different from vehicle‐cocaine group; ANOVA followed by Newman–Keuls test.

Article Snippet: A similar solution was used to dissolve the CB 1 receptor agonist arachidonoyl 2′‐chloroethylamide ( ACEA , 5 mg·kg −1 ; Tocris, Bristol, UK), the FAAH inhibitor URB597 , (0.1, 0.3 and 1.0 mg·kg −1 ; Cayman Chemical, Ann Arbor, USA) and the MAGL inhibitor JZL184 (1.0, 3.0 and 10 mg·kg −1 ; Cayman Chemical, Ann Arbor, USA).

Techniques:

( A ) Quality control of the co-RNAi screen. Scatter plots showing all replicate measurements of normalized and processed phenotypic feature data for cell count (PCC = 0.95) and cell eccentricity ( B , PCC = 0.92). Plates for which positive (RasGAP1) and negative (Diap1) controls could not be distinguished (Z’-factor < 0.3) were excluded. Data was normalized for plate and batch effects using median normalization and scaled and centered using Z-score analysis. ( C ) RNAi reagents ranked by dsRNA design correlation. dsRNAs were paired by gene to calculate pairwise correlations along 16 selected features. All dsRNAs together showed an average design correlation of PCC = 0.77. Figure C and D show data 96 hr after MEK inhibitor treatment representatively. ( D ) Assay performance assessed by statistical effect size. The multi-variate Z’-factors between the positive control knockdown of RasGAP1 and a negative control knockdown of Pvr were calculated for the selected 16 phenotypic features for the MEKi screen after 96 hr.

Journal: eLife

Article Title: Time-resolved mapping of genetic interactions to model rewiring of signaling pathways

doi: 10.7554/eLife.40174

Figure Lengend Snippet: ( A ) Quality control of the co-RNAi screen. Scatter plots showing all replicate measurements of normalized and processed phenotypic feature data for cell count (PCC = 0.95) and cell eccentricity ( B , PCC = 0.92). Plates for which positive (RasGAP1) and negative (Diap1) controls could not be distinguished (Z’-factor < 0.3) were excluded. Data was normalized for plate and batch effects using median normalization and scaled and centered using Z-score analysis. ( C ) RNAi reagents ranked by dsRNA design correlation. dsRNAs were paired by gene to calculate pairwise correlations along 16 selected features. All dsRNAs together showed an average design correlation of PCC = 0.77. Figure C and D show data 96 hr after MEK inhibitor treatment representatively. ( D ) Assay performance assessed by statistical effect size. The multi-variate Z’-factors between the positive control knockdown of RasGAP1 and a negative control knockdown of Pvr were calculated for the selected 16 phenotypic features for the MEKi screen after 96 hr.

Article Snippet: Chemical compound, drug , PD-0325901; MEKi; MEK inhibitor , Cayman Chemical Cat# 13034 , Cayman Chemical Cat# 13034; CAS: 391210-10-9 , 1.5 nM.

Techniques: Cell Counting, Positive Control, Negative Control

( A ) S2 cells were treated for either 24 hr, 48 hr, 72 hr and 96 hr using 150 nM PD-0325901 in 0.5% DMSO. Samples were lysed and subjected to western blot analysis. The DMSO only control was treated the same way in the same experiment and blotted on the same membrane, however initially not right next to the other samples. Membranes were stripped and re-probed for total-rolled and α-tubulin after each development. ( B ) Correlation analysis of compound (MEKi) vs. RNAi perturbation of Dsor1. Data was taken from B-Score normalized genome wide chemo-genetic screens. Thirty-eight features were analysed between MEK inhibitor and anti-RLUC treated controls (MEKi) and either Dsor1 or RasGAP1 knockdown. Correlation of median feature vectors is given as Pearson correlation coefficient (PCC). ( C ) Image based illustration of the concentration depended decline in cellular fitness (Scale bar = 140 µm). ( D ) Dose-response curve under co-perturbation with a dsRNA against GFP (not expressed in these cells). ( E ) Dose-response curve of the same cells after the drug containing medium was washed out and cells were left to grow for another 72 hr. ( F ) Dose-response curve after treatment of freshly seeded cells with the remainder medium of the treated cells. A horizontal blue line demarks the ED50 as estimated by four-parameter logistic regression (blue curve fit). All values are mean ±s.e.m. (red, n = 32). ( G ) Dose-Response curves were measured using a fluorescent microcopy-based read-out. Cells were segmented and extracted features summarized per well. Multiple features show a distinctive reactivity towards chemical inhibition of Dsor1 and demonstrate the power of multi-parametric phenotyping for measuring cellular reactions to small molecule treatment. The blue line indicates the ED 50 estimate in this experiment. Data were taken from the ‘used compound’ treatment ( E ).

Journal: eLife

Article Title: Time-resolved mapping of genetic interactions to model rewiring of signaling pathways

doi: 10.7554/eLife.40174

Figure Lengend Snippet: ( A ) S2 cells were treated for either 24 hr, 48 hr, 72 hr and 96 hr using 150 nM PD-0325901 in 0.5% DMSO. Samples were lysed and subjected to western blot analysis. The DMSO only control was treated the same way in the same experiment and blotted on the same membrane, however initially not right next to the other samples. Membranes were stripped and re-probed for total-rolled and α-tubulin after each development. ( B ) Correlation analysis of compound (MEKi) vs. RNAi perturbation of Dsor1. Data was taken from B-Score normalized genome wide chemo-genetic screens. Thirty-eight features were analysed between MEK inhibitor and anti-RLUC treated controls (MEKi) and either Dsor1 or RasGAP1 knockdown. Correlation of median feature vectors is given as Pearson correlation coefficient (PCC). ( C ) Image based illustration of the concentration depended decline in cellular fitness (Scale bar = 140 µm). ( D ) Dose-response curve under co-perturbation with a dsRNA against GFP (not expressed in these cells). ( E ) Dose-response curve of the same cells after the drug containing medium was washed out and cells were left to grow for another 72 hr. ( F ) Dose-response curve after treatment of freshly seeded cells with the remainder medium of the treated cells. A horizontal blue line demarks the ED50 as estimated by four-parameter logistic regression (blue curve fit). All values are mean ±s.e.m. (red, n = 32). ( G ) Dose-Response curves were measured using a fluorescent microcopy-based read-out. Cells were segmented and extracted features summarized per well. Multiple features show a distinctive reactivity towards chemical inhibition of Dsor1 and demonstrate the power of multi-parametric phenotyping for measuring cellular reactions to small molecule treatment. The blue line indicates the ED 50 estimate in this experiment. Data were taken from the ‘used compound’ treatment ( E ).

Article Snippet: Chemical compound, drug , PD-0325901; MEKi; MEK inhibitor , Cayman Chemical Cat# 13034 , Cayman Chemical Cat# 13034; CAS: 391210-10-9 , 1.5 nM.

Techniques: Western Blot, Genome Wide, Concentration Assay, Inhibition

( A ) Upon Rel or Rel / pnt knockdown cells behave normally, growth is inhibited upon pnt knockdown alone. ( B ) Dsor1 inhibitor treatment attenuated this alleviating interaction. Scale bar = 30 µm. Images are pseudo colored, DNA/DAPI = blue, FITC/α-tubulin = green. ( C ) Quantified negative treatment-sensitive interaction between Rel and pnt . The trajectory of the MEK inhibitor treatment is lower than the solvent control condition for cell count interaction indicating synthetic lethality under MEK inhibition. ( C’ ) Actin major axis shows a strong positive interaction (cells are enlarged like under pnt knockdown). Error of fit is shown as 95% confidence interval. Dashed lines show trendlines of a treatment wise model fit. ( D, E ) Expression of candidate and marker genes assessed by qPCR (3 days RNAi treatment, n = 3, log 2 fold RLUC , mean ±s.e.m., t-test) on S2 cells. ( D ) pnt expression is reduced upon pnt and Pvr knockdown. Rel knockdown does not rescue pnt expression. Rel expression is increased upon pnt and Pvr knockdown and decreased upon Rel knockdown. Upon pnt and Rel knock down, Rel expression is rescued to normal levels. ( E ) Pvf2 expression is induced only upon Rel / pnt double knockdown. This leads to increased expression of sty and RasGAP1. RasGAP1 knockdown increases sty expression and decreases RasGAP1 expression. ( D–E ) *=p < 0.05, **=p < 0.01. ( F ) A model summarizes the qPCR results in context of the Ras signaling cascade. Dashed lines are transcriptional interactions, solid lines are protein-protein interactions. All black interactions are known, while the green interaction is inferred from the data. Blue arrows indicate that Pvf2 , sty and RasGAP1 were upregulated upon Rel / pnt co-knockdown and by that Ras pathway activity was restored. A similar pattern could be observed upon RasGAP1 knockdown, which causes intrinsic hyper-activation of Ras signaling by constitutive Ras activation (measured by upregulation of sty , red arrows).

Journal: eLife

Article Title: Time-resolved mapping of genetic interactions to model rewiring of signaling pathways

doi: 10.7554/eLife.40174

Figure Lengend Snippet: ( A ) Upon Rel or Rel / pnt knockdown cells behave normally, growth is inhibited upon pnt knockdown alone. ( B ) Dsor1 inhibitor treatment attenuated this alleviating interaction. Scale bar = 30 µm. Images are pseudo colored, DNA/DAPI = blue, FITC/α-tubulin = green. ( C ) Quantified negative treatment-sensitive interaction between Rel and pnt . The trajectory of the MEK inhibitor treatment is lower than the solvent control condition for cell count interaction indicating synthetic lethality under MEK inhibition. ( C’ ) Actin major axis shows a strong positive interaction (cells are enlarged like under pnt knockdown). Error of fit is shown as 95% confidence interval. Dashed lines show trendlines of a treatment wise model fit. ( D, E ) Expression of candidate and marker genes assessed by qPCR (3 days RNAi treatment, n = 3, log 2 fold RLUC , mean ±s.e.m., t-test) on S2 cells. ( D ) pnt expression is reduced upon pnt and Pvr knockdown. Rel knockdown does not rescue pnt expression. Rel expression is increased upon pnt and Pvr knockdown and decreased upon Rel knockdown. Upon pnt and Rel knock down, Rel expression is rescued to normal levels. ( E ) Pvf2 expression is induced only upon Rel / pnt double knockdown. This leads to increased expression of sty and RasGAP1. RasGAP1 knockdown increases sty expression and decreases RasGAP1 expression. ( D–E ) *=p < 0.05, **=p < 0.01. ( F ) A model summarizes the qPCR results in context of the Ras signaling cascade. Dashed lines are transcriptional interactions, solid lines are protein-protein interactions. All black interactions are known, while the green interaction is inferred from the data. Blue arrows indicate that Pvf2 , sty and RasGAP1 were upregulated upon Rel / pnt co-knockdown and by that Ras pathway activity was restored. A similar pattern could be observed upon RasGAP1 knockdown, which causes intrinsic hyper-activation of Ras signaling by constitutive Ras activation (measured by upregulation of sty , red arrows).

Article Snippet: Chemical compound, drug , PD-0325901; MEKi; MEK inhibitor , Cayman Chemical Cat# 13034 , Cayman Chemical Cat# 13034; CAS: 391210-10-9 , 1.5 nM.

Techniques: Cell Counting, Inhibition, Expressing, Marker, Activity Assay, Activation Assay

Journal: eLife

Article Title: Time-resolved mapping of genetic interactions to model rewiring of signaling pathways

doi: 10.7554/eLife.40174

Figure Lengend Snippet:

Article Snippet: Chemical compound, drug , PD-0325901; MEKi; MEK inhibitor , Cayman Chemical Cat# 13034 , Cayman Chemical Cat# 13034; CAS: 391210-10-9 , 1.5 nM.

Techniques: Recombinant, Sequencing, Synthesized, Software