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Data independent acquisition enables deep and fast label-free dynamic organellar mapping

View ORCID ProfileJulia P. Schessner, Vincent Albrecht, View ORCID ProfileAlexandra K. Davies, View ORCID ProfilePavel Sinitcyn, View ORCID ProfileGeorg H.H. Borner
doi: https://doi.org/10.1101/2021.11.09.467934
Julia P. Schessner
1Department of Proteomics and Signal Transduction, Systems Biology of Membrane Trafficking Research Group, Max-Planck Institute of Biochemistry, Martinsried, Germany
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Vincent Albrecht
1Department of Proteomics and Signal Transduction, Systems Biology of Membrane Trafficking Research Group, Max-Planck Institute of Biochemistry, Martinsried, Germany
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Alexandra K. Davies
1Department of Proteomics and Signal Transduction, Systems Biology of Membrane Trafficking Research Group, Max-Planck Institute of Biochemistry, Martinsried, Germany
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Pavel Sinitcyn
2Computational Systems Biochemistry Research Group, Max-Planck Institute of Biochemistry, Martinsried, Germany
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Georg H.H. Borner
1Department of Proteomics and Signal Transduction, Systems Biology of Membrane Trafficking Research Group, Max-Planck Institute of Biochemistry, Martinsried, Germany
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  • For correspondence: borner@biochem.mpg.de
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Posted November 09, 2021.
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Data independent acquisition enables deep and fast label-free dynamic organellar mapping
Julia P. Schessner, Vincent Albrecht, Alexandra K. Davies, Pavel Sinitcyn, Georg H.H. Borner
bioRxiv 2021.11.09.467934; doi: https://doi.org/10.1101/2021.11.09.467934
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Data independent acquisition enables deep and fast label-free dynamic organellar mapping
Julia P. Schessner, Vincent Albrecht, Alexandra K. Davies, Pavel Sinitcyn, Georg H.H. Borner
bioRxiv 2021.11.09.467934; doi: https://doi.org/10.1101/2021.11.09.467934

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