custom-built matlab script version 2019b Search Results


em2040 wcd amplitudes  (Kongsberg Maritime Contros GmbH)
90
Kongsberg Maritime Contros GmbH em2040 wcd amplitudes
Em2040 Wcd Amplitudes, supplied by Kongsberg Maritime Contros GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/custom-built+matlab+script+version+2019b/em2040+multibeam+echosounder/10__3389_slash_frsen__2022__839417-100-2-2
Average 90 stars, based on 1 article reviews
em2040 wcd amplitudes - by Bioz Stars, 2026-09
90/100 stars
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resource source identifier antibodies mdm2  (Santa Cruz Biotechnology)
96
Santa Cruz Biotechnology resource source identifier antibodies mdm2
A) Schematic diagram of the <t>Mdm2-Mdmx</t> -p53 network. Mdmx inhibits the p53-Mdm2 oscillator through two arms: degradation of p53 through catalyzing Mdm2-mediated ubiquitination (blue left arm) and inhibition of p53 transcriptional activity (orange right arm).
Resource Source Identifier Antibodies Mdm2, supplied by Santa Cruz Biotechnology, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/custom-built+matlab+script+version+2019b/MDM2+Antibody/pmc07263464-641-10-18
Average 96 stars, based on 1 article reviews
resource source identifier antibodies mdm2 - by Bioz Stars, 2026-09
96/100 stars
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Image Search Results


A) Schematic diagram of the Mdm2-Mdmx -p53 network. Mdmx inhibits the p53-Mdm2 oscillator through two arms: degradation of p53 through catalyzing Mdm2-mediated ubiquitination (blue left arm) and inhibition of p53 transcriptional activity (orange right arm).

Journal: Cell systems

Article Title: Inferring leading interactions in the p53/Mdm2/Mdmx circuit through live-cell imaging and modeling

doi: 10.1016/j.cels.2019.10.010

Figure Lengend Snippet: A) Schematic diagram of the Mdm2-Mdmx -p53 network. Mdmx inhibits the p53-Mdm2 oscillator through two arms: degradation of p53 through catalyzing Mdm2-mediated ubiquitination (blue left arm) and inhibition of p53 transcriptional activity (orange right arm).

Article Snippet: ​ table ft1 table-wrap mode="anchored" t5 caption a7 REAGENT or RESOURCE SOURCE IDENTIFIER Antibodies Mdm2 (SMP 14 ) Santa Cruz Cat. No. sc-965 P53 (FL-393) Santa Cruz Cat. No. sc-6243 Goat anti-Mouse IgG (H+L) Highly Cross-Adsorbed Secondary Antibody, Alexa Fluor Plus 488 ThermoFisher Scientific Cat. No. A32723 Donkey anti-Rabbit IgG (H+L) Highly Cross-Ad-sorbed Secondary Antibody, Alexa Fluor Plus 647 ThermoFisher Scientific Cat. No. A32795 DharmaFect I Dharmacon Cat. No. T-2001 Chemicals DAPI Sigma D9542 DABCO 33-LV Sigma Cat. No. 290734 Experimental Models: Cell Lines MCF7+p53shRNA+p53-mCerulean ( Gaglia et al., 2013 ) N/A Oligonucleotides MDMX siRNA: AGCCCTCTCTATGATATGCTA Qiagen Cat. No. 1027417 MDMX siRNA: GACCACGAGACGGGAACATTA Qiagen Cat. No. 1027417 AllStars Negative Control siRNA Qiagen Cat. No. 1027280 Software and Algorithms MATLAB 2019b The MathWorks, Inc. https://www.math-works.com P53 Cinema Single Cell Tracking Software ( Reyes et al., 2018 ) https://github.com/balvahal/p53Cine-maManual Custom Matlab script- model This work https://github.com/Mathiasheltberg/In-teractionsP53Net-work Open in a separate window Key Resource Table Impact factors in systems biology - Using models to rule out and validate hypotheses Mathematical models are routinely built to represent known biological interactions and recapitulate the behaviors they generate.

Techniques: Inhibition, Activity Assay

A) Schematics of the p53-Mdm2 negative feedback loop with the parameters (β, γ, Ψ, TDel) in our mathematical model.

Journal: Cell systems

Article Title: Inferring leading interactions in the p53/Mdm2/Mdmx circuit through live-cell imaging and modeling

doi: 10.1016/j.cels.2019.10.010

Figure Lengend Snippet: A) Schematics of the p53-Mdm2 negative feedback loop with the parameters (β, γ, Ψ, TDel) in our mathematical model.

Article Snippet: ​ table ft1 table-wrap mode="anchored" t5 caption a7 REAGENT or RESOURCE SOURCE IDENTIFIER Antibodies Mdm2 (SMP 14 ) Santa Cruz Cat. No. sc-965 P53 (FL-393) Santa Cruz Cat. No. sc-6243 Goat anti-Mouse IgG (H+L) Highly Cross-Adsorbed Secondary Antibody, Alexa Fluor Plus 488 ThermoFisher Scientific Cat. No. A32723 Donkey anti-Rabbit IgG (H+L) Highly Cross-Ad-sorbed Secondary Antibody, Alexa Fluor Plus 647 ThermoFisher Scientific Cat. No. A32795 DharmaFect I Dharmacon Cat. No. T-2001 Chemicals DAPI Sigma D9542 DABCO 33-LV Sigma Cat. No. 290734 Experimental Models: Cell Lines MCF7+p53shRNA+p53-mCerulean ( Gaglia et al., 2013 ) N/A Oligonucleotides MDMX siRNA: AGCCCTCTCTATGATATGCTA Qiagen Cat. No. 1027417 MDMX siRNA: GACCACGAGACGGGAACATTA Qiagen Cat. No. 1027417 AllStars Negative Control siRNA Qiagen Cat. No. 1027280 Software and Algorithms MATLAB 2019b The MathWorks, Inc. https://www.math-works.com P53 Cinema Single Cell Tracking Software ( Reyes et al., 2018 ) https://github.com/balvahal/p53Cine-maManual Custom Matlab script- model This work https://github.com/Mathiasheltberg/In-teractionsP53Net-work Open in a separate window Key Resource Table Impact factors in systems biology - Using models to rule out and validate hypotheses Mathematical models are routinely built to represent known biological interactions and recapitulate the behaviors they generate.

Techniques:

A) Schematic of the p53-Mdm2 system with regulation by Mdmx and ATR. ATR can inhibit Mdm2-mediated p53 degradation through two impact factors (κ2 or κ2)

Journal: Cell systems

Article Title: Inferring leading interactions in the p53/Mdm2/Mdmx circuit through live-cell imaging and modeling

doi: 10.1016/j.cels.2019.10.010

Figure Lengend Snippet: A) Schematic of the p53-Mdm2 system with regulation by Mdmx and ATR. ATR can inhibit Mdm2-mediated p53 degradation through two impact factors (κ2 or κ2)

Article Snippet: ​ table ft1 table-wrap mode="anchored" t5 caption a7 REAGENT or RESOURCE SOURCE IDENTIFIER Antibodies Mdm2 (SMP 14 ) Santa Cruz Cat. No. sc-965 P53 (FL-393) Santa Cruz Cat. No. sc-6243 Goat anti-Mouse IgG (H+L) Highly Cross-Adsorbed Secondary Antibody, Alexa Fluor Plus 488 ThermoFisher Scientific Cat. No. A32723 Donkey anti-Rabbit IgG (H+L) Highly Cross-Ad-sorbed Secondary Antibody, Alexa Fluor Plus 647 ThermoFisher Scientific Cat. No. A32795 DharmaFect I Dharmacon Cat. No. T-2001 Chemicals DAPI Sigma D9542 DABCO 33-LV Sigma Cat. No. 290734 Experimental Models: Cell Lines MCF7+p53shRNA+p53-mCerulean ( Gaglia et al., 2013 ) N/A Oligonucleotides MDMX siRNA: AGCCCTCTCTATGATATGCTA Qiagen Cat. No. 1027417 MDMX siRNA: GACCACGAGACGGGAACATTA Qiagen Cat. No. 1027417 AllStars Negative Control siRNA Qiagen Cat. No. 1027280 Software and Algorithms MATLAB 2019b The MathWorks, Inc. https://www.math-works.com P53 Cinema Single Cell Tracking Software ( Reyes et al., 2018 ) https://github.com/balvahal/p53Cine-maManual Custom Matlab script- model This work https://github.com/Mathiasheltberg/In-teractionsP53Net-work Open in a separate window Key Resource Table Impact factors in systems biology - Using models to rule out and validate hypotheses Mathematical models are routinely built to represent known biological interactions and recapitulate the behaviors they generate.

Techniques:

Key Resource Table

Journal: Cell systems

Article Title: Inferring leading interactions in the p53/Mdm2/Mdmx circuit through live-cell imaging and modeling

doi: 10.1016/j.cels.2019.10.010

Figure Lengend Snippet: Key Resource Table

Article Snippet: ​ table ft1 table-wrap mode="anchored" t5 caption a7 REAGENT or RESOURCE SOURCE IDENTIFIER Antibodies Mdm2 (SMP 14 ) Santa Cruz Cat. No. sc-965 P53 (FL-393) Santa Cruz Cat. No. sc-6243 Goat anti-Mouse IgG (H+L) Highly Cross-Adsorbed Secondary Antibody, Alexa Fluor Plus 488 ThermoFisher Scientific Cat. No. A32723 Donkey anti-Rabbit IgG (H+L) Highly Cross-Ad-sorbed Secondary Antibody, Alexa Fluor Plus 647 ThermoFisher Scientific Cat. No. A32795 DharmaFect I Dharmacon Cat. No. T-2001 Chemicals DAPI Sigma D9542 DABCO 33-LV Sigma Cat. No. 290734 Experimental Models: Cell Lines MCF7+p53shRNA+p53-mCerulean ( Gaglia et al., 2013 ) N/A Oligonucleotides MDMX siRNA: AGCCCTCTCTATGATATGCTA Qiagen Cat. No. 1027417 MDMX siRNA: GACCACGAGACGGGAACATTA Qiagen Cat. No. 1027417 AllStars Negative Control siRNA Qiagen Cat. No. 1027280 Software and Algorithms MATLAB 2019b The MathWorks, Inc. https://www.math-works.com P53 Cinema Single Cell Tracking Software ( Reyes et al., 2018 ) https://github.com/balvahal/p53Cine-maManual Custom Matlab script- model This work https://github.com/Mathiasheltberg/In-teractionsP53Net-work Open in a separate window Key Resource Table Impact factors in systems biology - Using models to rule out and validate hypotheses Mathematical models are routinely built to represent known biological interactions and recapitulate the behaviors they generate.

Techniques: Negative Control, Software, Single Cell Tracking