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Nikolai Slavov

2010 Ph.D., Princeton University
Cambridge, MA 02138
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Data Webs

2022 | pSCoPE: Prioritized single-cell proteomics
2021 | plexDIA: Increasing the throughput of sensitive proteomics
2021 | Droplet sample preparation for single-cell proteomics
2021 | Multiplexed single-cell proteomics using SCoPE2
2020 | Optimizing experiments using isobaric carriers
2019 | SCoPE2: Quantifying proteins in single cells at high-throughput
2019 | DO-MS: Data-Driven Optimization of Mass Spectrometry Methods
2018 | Increasing single-cell proteome coverage by DART-ID
2018 | Automated sample preparation for high-throughput single-cell proteomics
2016 | Single Cell ProtEomics by Mass Spectrometry (SCoPE-MS)
2016 | Post-transcriptional regulation across human tissues
2015 | Protein Composition of Ribosomes across Growth Conditions
2014 | Quantifying homologous proteins and proteoforms
2014 | Metabolic Remodeling during Exponential Cell Growth
2013 | Growth Deregulation and Aerobic Glycolysis
2011 | Metabolic Cycling without Cell Division Cycling
2010 | Growth Rate Response in Yeast

Latest News

Single Cell Proteomics Perspectives: Progress and New Opportunities
Nature Methods highlights our single-cell proteomics methods
Allen Distinguished Investigator Award for Pioneering Single Cell Proteomics
Nature Methods highlights single-cell proteomics research
Advances in single-cell mass-spec enable high-throughput proteomics
Simpson's paradox in gene regulation

Twitter

slavovLab While much of the excitement for plexDIA is related to its potential for single-cell proteomics, it is broadly applicable to sensitive (bulk) protein analysis in general. This point comes clearly from the highlight. t.co/JKeV9SNtvL
2 weeks 6 days ago.

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