The AssayMAP Bravo
AssayMAP Bravo Protein Sample Prep Platform
The AssayMAP Bravo platform combines precision liquid flow control, microchromatography cartridges with diverse resin chemistries, and intuitive software to bring the power of chromatography to sample preparation. The system is tailored to address the wide variety of protein sample preparation workflows used in proteomics and biotherapeutic drug discovery and development.
Automated protein sample preparation with the AssayMAP Bravo minimizes variability, sample handling errors, and manual labor. Pre-optimized protocols and permission levels provide a walk-up solution that makes automation accessible for everyone with minimal training. Optional compliance enabling features allow workflows to be seamlessly passed from noncompliant to compliant labs, making the AssayMAP Bravo the ideal automated sample preparation solution for every stage of the drug discovery process.
Automated protein sample preparation with the AssayMAP Bravo minimizes variability, sample handling errors, and manual labor. Pre-optimized protocols and permission levels provide a walk-up solution that makes automation accessible for everyone with minimal training. Optional compliance enabling features allow workflows to be seamlessly passed from noncompliant to compliant labs, making the AssayMAP Bravo the ideal automated sample preparation solution for every stage of the drug discovery process.
Product Details
Features
- AssayMAP Bravo combines precision liquid handling with microchromatography on column-like, resin-filled cartridges to address many sample preparation workflows
- A wide range of cartridge chemistries and sizes addresses many experimental needs in the biopharma industry and beyond
- Reproducible, scalable, and robust liquid handling system with intuitive, easy-to-use operating software
- Pre-optimized protocols and permission-level control enable walk-up operation with minimal training needed
- Application areas include protein purification, phosphoproteomics, protein–protein interactions, immunopeptidomics, antibody drug conjugates (ADC), biomarker discovery, biologics, multiomics, and pharmacokinetics
- Automatic report generation captures the key steps executed during sample preparation
- Proven performance with hundreds of peer-reviewed publications (see AssayMAP Bravo citation index)
- The chromatographic format of AssayMAP cartridges has many advantages compared to magnetic beads, such as a shorter diffusion path, which is beneficial for efficient binding of large molecules
- Seamless transfer of assays between nonregulated and 21 CFR Part 11 regulated labs, which is made possible with compliance-enabling software features
- Semi-automated loading of Evosep Evotip Pure tips enables nanoflow mass spectrometry using the Evosep One instrument and Agilent LC/MS systems
How It Works
Applications
Featured References
- Publications
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- A novel in vitro serum stability assay for antibody therapeutics incorporating internal standards. Yihan Lia, Rosendo Villafuerte-Vegab, Vikram M. Shenoya, Heidi M. Jacksonc, Yuting Wangc, Karen E. Parrishd, Gary J. Jenkinsd, and Hetal Sarvaiya. mAbs 2025, 17(1), 2479529 Learn More
- Enhanced detection and Characterization of M-proteins in multiple myeloma patients using An Agilent AssayMAP Bravo liquid handling system coupled to an LC-QTOF. Matthew Nichols, Chai Phua, Martha Louzada, Benjamin D. Hedley, Vipin Bhayana, Ian Chin-Yee, and Angela C. Rutledge. Clinical Biochemistry 2025, 135, 110870 Learn More
- Site-Specific Competitive Kinase Inhibitor Target Profiling Using Phosphonate Affinity Tags. Wouter van Bergen, Anneroos E. Nederstigt, Albert J.R. Heck, and Marc P. Baggelaar. Molecular & Cellular Proteomics 2025, 24(1), 100906 Learn More
- LC HRMS screening procedure for the detection of 11 different classes of prohibited substances in dried urine spots for doping control purposes. Monica Mazzarino, Francesca Pizzolato, Lenka Honesová, Maria Tsivou, Günter Gmeiner, and Peter Van Eenoo. Analytical and Bioanalytical Chemistry 2025, 417, 799-820. Learn More
- Development of a Flow Through-Based Limited Digestion Approach for High-Throughput and High-Sequence Coverage Mapping of Therapeutic mRNAs. Shuli Tang, Gao-Yuan Liu, Yuetian Yan, Shunhai Wang, and Ning Li. Analytical Chemistry 2024, 96(42), 16994-17003 Learn More
- Spatial proteomics identifies JAKi as treatment for a lethal skin disease. Thierry M. Nordmann, Holly Anderton, Akito Hasegawa, Lisa Schweizer, Peng Zhang, Pia-Charlotte Stadler, Ankit Sinha, Andreas Metousis, Florian A. Rosenberger, Maximilian Zwiebel, Takashi K. Satoh, Florian Anzengruber, Maximilian T. Strauss, Maria C. Tanzer, Yuki Saito, Ting Gong, Marvin Thielert, Haruna Kimura, Natasha Silke, Edwin H. Rodriguez, Gaetana Restivo, Hong Ha Nguyen, Annette Gross, Laurence Feldmeyer, Lukas Joerg, Mitchell P. Levesque, Peter J. Murray, Saskia Ingen-Housz-Oro, Andreas Mund, Riichiro Abe, John Silke, Chao Ji, Lars E. French, and Matthias Mann. Nature 2024, 635, 1001-1009 Learn More
- End-to-End Throughput Chemical Proteomics for Photoaffinity Labeling Target Engagement and Deconvolution. Sheldon T. Cheung, Yongkang Kim, Ji-Hoon Cho, Kristoffer R. Brandvold, Brahma Ghosh, Amanda M. Del Rosario, and Harris Bell-Temin. Journal of Proteomics Research 2024, 23(11), 4951-4961 Learn More
- Optimized Automated Workflow for BioID Improves Reproducibility and Identification of Protein?Protein Interactions. Emilio Cirri, Hannah Knaudt, Domenico Di Fraia, Nadine P?mpner, Norman Rahnis, Ivonne Heinze, Alessandro Ori, and Therese Dau. Journal of Proteome Research 2024, 23(10), 4359-4368 Learn More
- Systematic discovery of neoepitope–HLA pairs for neoantigens shared among patients and tumor types. Hem R. Gurung, Amy J. Heidersbach, Martine Darwish, Pamela Pui Fung Chan, Jenny Li, Maureen Beresini, Oliver A. Zill, Andrew Wallace, Ann-Jay Tong, Dan Hascall, Eric Torres, Andy Chang, Kenny ‘Hei-Wai’ Lou, Yassan Abdolazimi, Christian Hammer, Ana Xavier-Magalh?es, Ana Marcu, Samir Vaidya, Daniel D. Le, Ilseyar Akhmetzyanova, Soyoung A. Oh, Amanda J. Moore, Uzodinma N. Uche, Melanie B. Laur, Richard J. Notturno, Peter J. R. Ebert, Craig Blanchette, Benjamin Haley, and Christopher M. Rose. Nature Biotechnology 2024, 42, 1107-1117 Learn More
- The proteogenomic landscape of multiple myeloma reveals insights into disease biology and therapeutic opportunities. Evelyn Ramberger, Valeriia Sapozhnikova, Yuen Lam Dora Ng, Anna Dolnik, Matthias Ziehm, Oliver Popp, Eric Str?ng, Miriam Kull, Florian Grünschl?ger, Josefine Krüger, Manuela Benary, Sina Müller, Xiang Gao, Arunima Murgai, Mohamed Haji, Annika Schmidt, Raphael Lutz, Axel Nogai, Jan Braune, Dominik Laue, Christian Langer, Cyrus Khandanpour, Florian Bassermann, Hartmut D?hner, Monika Engelhardt, Christian Straka, Michael Hundemer, Dieter Beule, Simon Haas, Ulrich Keller, Hermann Einsele, Lars Bullinger, Stefan Knop, Philipp Mertins, and Jan Kr?nke. Nature Cancer 2024, 5, 1267-1284 Learn More
