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mitoplate s-1 biolog phenotype microarray microplates  (Biolog Inc)

 
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    Structured Review

    Biolog Inc mitoplate s-1 biolog phenotype microarray microplates
    Reagents and tools table
    Mitoplate S 1 Biolog Phenotype Microarray Microplates, supplied by Biolog Inc, 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/phenotype+microarray+1+microplate/mitoplate+s+1+biolog+phenotype+microarray+microplates/pmc11976965-53-0-2
    Average 90 stars, based on 1 article reviews
    mitoplate s-1 biolog phenotype microarray microplates - by Bioz Stars, 2026-10
    90/100 stars

    Images

    1) Product Images from "MIA40 suppresses cell death induced by apoptosis-inducing factor 1"

    Article Title: MIA40 suppresses cell death induced by apoptosis-inducing factor 1

    Journal: EMBO Reports

    doi: 10.1038/s44319-025-00406-8

    Reagents and tools table
    Figure Legend Snippet: Reagents and tools table

    Techniques Used: Recombinant, Produced, Sequencing, Transfection, Microarray, Flow Cytometry, Software, Inverted Microscopy

    Related Articles

    Microarray:

    Article Title: A white-box machine learning approach for revealing antibiotic mechanisms of action
    Article Snippet: MOPS Minimal Media Kit , Teknova , Cat# M2106. .. Phenotype Microarray 1 MicroPlate , Biolog ( Bochner, 2009 ) , Cat# 12111. .. Phenotype Microarray 2 MicroPlate , Biolog ( Bochner, 2009 ) , Cat# 12112.



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    mitoplate s-1 biolog phenotype microarray microplates  (Biolog Inc)
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    Biolog Inc mitoplate s-1 biolog phenotype microarray microplates
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    Reagents and tools table

    Journal: EMBO Reports

    Article Title: MIA40 suppresses cell death induced by apoptosis-inducing factor 1

    doi: 10.1038/s44319-025-00406-8

    Figure Lengend Snippet: Reagents and tools table

    Article Snippet: MitoPlate S-1 Biolog Phenotype MicroArray MicroPlates , Biolog Inc. , MS 14105.

    Techniques: Recombinant, Produced, Sequencing, Transfection, Microarray, Flow Cytometry, Software, Inverted Microscopy

    Key Resources Table

    Journal: Cell

    Article Title: A white-box machine learning approach for revealing antibiotic mechanisms of action

    doi: 10.1016/j.cell.2019.04.016

    Figure Lengend Snippet: Key Resources Table

    Article Snippet: ​ REAGENT or RESOURCE SOURCE IDENTIFIER Bacterial and Virus Strains Eschehchia coli K-12 MG1655 ATCC ATCC 700926 Chemicals, Peptides, and Recombinant Proteins 6-Mercaptopurine Sigma-Aldrich Cat# 852678-1G-A; CAS: 6112-76-1 13 C-Glucose Cambridge Isotope Laboratories, Inc. Cat# CLM-1396-1; CAS: 110187-42-3 Adenine Sigma-Aldrich Cat# A8626-5G; CAS: 73-24-5 Ampicillin Sigma-Aldrich Cat# A9518-5G; CAS: 69-52-3 Ciprofloxacin Sigma-Aldrich Cat# 17850-25G-F; CAS: 85721-33-1 Cytosine Sigma-Aldrich Cat# C3506-1G; CAS: 71-30-7 Gentamicin Sigma-Aldrich Cat# G1914-5G; CAS: 1405-41-0 Glutamine Sigma-Aldrich Cat# G8540-25G; CAS: 56-85-9 Guanine Sigma-Aldrich Cat# G11950-10G; CAS: 73-40-5 MOPS EZ Rich Defined Medium Kit Teknova Cat# M2105 MOPS Minimal Media Kit Teknova Cat# M2106 Phenotype Microarray 1 MicroPlate Biolog ( Bochner, 2009 ) Cat# 12111 Phenotype Microarray 2 MicroPlate Biolog ( Bochner, 2009 ) Cat# 12112 Phenotype Microarray 3 MicroPlate Biolog ( Bochner, 2009 ) Cat# 12121 Phenotype Microarray 4 MicroPlate Biolog ( Bochner, 2009 ) Cat# 12131 Phosphoribosyl pyrophosphate Sigma-Aldrich Cat# P8296-100MG; CAS: 108321-05-7 Thymine Sigma-Aldrich Cat# T0376-100G; CAS: 65-71-4 Trimethoprim Sigma-Aldrich Cat# T7883-5G; CAS: 738-70-5 Uracil Sigma-Aldrich Cat# U0750-100G; CAS: 66-22-8 Oligonucleotides See Table S9 This paper Software and Algorithms MATLAB 2018a Mathworks https://www.mathworks.com/ COBRA Toolbox v. 2.0 ( Schellenberger et al., 2011 ) https://opencobra.github.io/cobratoolbox/ Gurobi Optimizer v. 6.0.4 Gurobi Optimization http://www.gurobi.com/ optGpSampler ( Megchelenbrink et al., 2014 ) http://cs.ru.nl/~wmegchel/optGpSampler/ Spyder IDE v. 3.3.0 Spyder Project Contributors https://www.spyderide.org/ scikit-learn v. 0.17.0 ( Pedregosa et al., 2011 ) https://scikitlearn.org/ Ecocyc v. 22.0 ( Keseler et al., 2017 ) https://ecocyc.org/ Prism v. 8.0.2 GraphPad https://www.graphpad.com/ AB SCIEX MultiQuant v. 3.0.1 SCIEX https://sciex.com/products/software/multiquant-software Amelia II v. 1.7.4 ( Honaker et al., 2011 ) https://cran.r-project.org/web/packages/Amelia/index.html LMGene v. 3.3 ( Lu et al., 2008 ) http://www.bioconductor.org/packages/release/bioc/html/LMGene.html Open in a separate window Key Resources Table A white-box machine learning approach is developed for antibiotics research.

    Techniques: Virus, Recombinant, Microarray, Software, Combined Bisulfite Restriction Analysis Assay