Steven A. Carr
Papers
3
Total Citations
47
H-Index
3
About
Steven A. Carr is a leading figure in proteomics and mass spectrometry-based technologies, whose research has profoundly advanced our ability to characterize complex biological systems at the molecular level. Based at the Broad Institute of MIT and Harvard, Carr has dedicated his career to developing and refining cutting-edge methodologies that push the boundaries of protein analysis. Among his most notable contributions is the development and automation of UbiFast, a highly sensitive and multiplexed method for profiling protein ubiquitylation — a critical post-translational modification implicated in diverse cellular processes. By automating this workflow for high-throughput applications, Carr and his team have enabled researchers to systematically map ubiquitylation sites with unprecedented depth and reproducibility, work that has attracted substantial citation attention across the proteomics community. Carr has also made significant strides in single-cell proteomics, contributing to automated platforms capable of delivering sufficient proteome depth to investigate complex biological questions beyond simple cell-type classification. This work, published in 2024, reflects his commitment to advancing sensitivity and throughput in emerging analytical frontiers. Through these innovations, Carr has established himself as an indispensable architect of modern quantitative proteomics, equipping researchers worldwide with transformative tools for biological discovery.
Research Focus
Key Achievements
Top Papers
- 1Automating UbiFast for High-throughput and Multiplexed Ubiquitin Enrichment23 citations · 2021
- 2
- 3
Key Collaborators
Related papers
- Automating UbiFast for High-throughput and Multiplexed Ubiquitin Enrichment
- Automating UbiFast for High-throughput and Multiplexed Ubiquitin Enrichment
- Automated single-cell proteomics providing sufficient proteome depth to study complex biology beyond cell type classifications
- Fully Automated Workflow for Integrated Sample Digestion and Evotip Loading Enabling High-Throughput Clinical Proteomics
- Fully automated workflow for integrated sample digestion and Evotip loading enabling high-throughput clinical proteomics
Researchers in this area
Labs working in this area
- Medical Micro & Nano Robotics Laboratory (MNRLab)Egypt
- Robotics Innovation Center, Institute of Science TokyoJapan
- Medical Robotics and Automation (RoboMed) Laboratory, Georgia Institute of TechnologyUnited States
- University of Utah Robotics Center - Milli-, Micro-, and Nano-RoboticsUnited States
- Micro-nanorobotics LaboratoryFrance
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