Skip to main content

Mass Deconvolution of Top-Down Mass Spectrometry Datasets by FLASHDeconv

  • Protocol
  • First Online:
Proteoform Identification

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2500))

Abstract

Mass deconvolution, the determination of proteoform precursor and fragment masses, is crucial for top-down proteomics data analysis. Here we describe the detailed procedure to run FLASHDeconv, an ultrafast, high-quality mass deconvolution tool. Both spectrum- and feature-level deconvolution results are obtainable in various output formats by FLASHDeconv. FLASHDeconv is runnable in different environments such as the command line and OpenMS workflows.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Protocol
USD 49.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 109.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 139.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Chen B, Brown KA, Lin Z, Ge Y (2018) Top-down proteomics: ready for prime time? Anal Chem 90(1):110–127. https://doi.org/10.1021/acs.analchem.7b04747

    Article  CAS  PubMed  Google Scholar 

  2. Li H, Nguyen HH, Ogorzalek Loo RR, Campuzano IDG, Loo JA (2018) An integrated native mass spectrometry and top-down proteomics method that connects sequence to structure and function of macromolecular complexes. Nat Chem 10(2):139–148. https://doi.org/10.1038/nchem.2908

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Schaffer LV, Millikin RJ, Miller RM, Anderson LC, Fellers RT, Ge Y, Kelleher NL, LeDuc RD, Liu X, Payne SH, Sun L, Thomas PM, Tucholski T, Wang Z, Wu S, Wu Z, Yu D, Shortreed MR, Smith LM (2019) Identification and quantification of Proteoforms by mass spectrometry. Proteomics 19(10):e1800361. https://doi.org/10.1002/pmic.201800361

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Donnelly DP, Rawlins CM, DeHart CJ, Fornelli L, Schachner LF, Lin Z, Lippens JL, Aluri KC, Sarin R, Chen B, Lantz C, Jung W, Johnson KR, Koller A, Wolff JJ, Campuzano IDG, Auclair JR, Ivanov AR, Whitelegge JP, Pasa-Tolic L, Chamot-Rooke J, Danis PO, Smith LM, Tsybin YO, Loo JA, Ge Y, Kelleher NL, Agar JN (2019) Best practices and benchmarks for intact protein analysis for top-down mass spectrometry. Nat Methods 16(7):587–594. https://doi.org/10.1038/s41592-019-0457-0

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Cai W, Guner H, Gregorich ZR, Chen AJ, Ayaz-Guner S, Peng Y, Valeja SG, Liu X, Ge Y (2016) MASH suite pro: a comprehensive software tool for top-down proteomics. Mol Cell Proteomics 15(2):703–714. https://doi.org/10.1074/mcp.O115.054387

    Article  CAS  PubMed  Google Scholar 

  6. Kou Q, Xun L, Liu X (2016) TopPIC: a software tool for top-down mass spectrometry-based proteoform identification and characterization. Bioinformatics 32(22):3495–3497. https://doi.org/10.1093/bioinformatics/btw398

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Park J, Piehowski PD, Wilkins C, Zhou M, Mendoza J, Fujimoto GM, Gibbons BC, Shaw JB, Shen Y, Shukla AK, Moore RJ, Liu T, Petyuk VA, Tolic N, Pasa-Tolic L, Smith RD, Payne SH, Kim S (2017) Informed-proteomics: open-source software package for top-down proteomics. Nat Methods 14(9):909–914. https://doi.org/10.1038/nmeth.4388

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Zabrouskov V, Senko MW, Du Y, Leduc RD, Kelleher NL (2005) New and automated MSn approaches for top-down identification of modified proteins. J Am Soc Mass Spectrom 16(12):2027–2038. https://doi.org/10.1016/j.jasms.2005.08.004

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Jeong K, Kim J, Gaikwad M, Hidayah SN, Heikaus L, Schluter H, Kohlbacher O (2020) FLASHDeconv: ultrafast, high-quality feature deconvolution for top-down proteomics. Cell Syst 10(2):213–218. e216. https://doi.org/10.1016/j.cels.2020.01.003

    Article  CAS  PubMed  Google Scholar 

  10. Rost HL, Sachsenberg T, Aiche S, Bielow C, Weisser H, Aicheler F, Andreotti S, Ehrlich HC, Gutenbrunner P, Kenar E, Liang X, Nahnsen S, Nilse L, Pfeuffer J, Rosenberger G, Rurik M, Schmitt U, Veit J, Walzer M, Wojnar D, Wolski WE, Schilling O, Choudhary JS, Malmstrom L, Aebersold R, Reinert K, Kohlbacher O (2016) OpenMS: a flexible open-source software platform for mass spectrometry data analysis. Nat Methods 13(9):741–748. https://doi.org/10.1038/nmeth.3959

    Article  CAS  PubMed  Google Scholar 

  11. Martens L, Chambers M, Sturm M, Kessner D, Levander F, Shofstahl J, Tang WH, Rompp A, Neumann S, Pizarro AD, Montecchi-Palazzi L, Tasman N, Coleman M, Reisinger F, Souda P, Hermjakob H, Binz PA, Deutsch EW (2011) mzML – a community standard for mass spectrometry data. Mol Cell Proteomics 10(1):R110 000133. https://doi.org/10.1074/mcp.R110.000133

    Article  PubMed  Google Scholar 

  12. Kessner D, Chambers M, Burke R, Agus D, Mallick P (2008) ProteoWizard: open source software for rapid proteomics tools development. Bioinformatics 24(21):2534–2536. https://doi.org/10.1093/bioinformatics/btn323

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Kenar E, Franken H, Forcisi S, Wormann K, Haring HU, Lehmann R, Schmitt-Kopplin P, Zell A, Kohlbacher O (2014) Automated label-free quantification of metabolites from liquid chromatography-mass spectrometry data. Mol Cell Proteomics 13(1):348–359. https://doi.org/10.1074/mcp.M113.031278

    Article  CAS  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kyowon Jeong .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature

About this protocol

Check for updates. Verify currency and authenticity via CrossMark

Cite this protocol

Jeong, K., Kim, J., Kohlbacher, O. (2022). Mass Deconvolution of Top-Down Mass Spectrometry Datasets by FLASHDeconv. In: Sun, L., Liu, X. (eds) Proteoform Identification. Methods in Molecular Biology, vol 2500. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-2325-1_11

Download citation

  • DOI: https://doi.org/10.1007/978-1-0716-2325-1_11

  • Published:

  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-2324-4

  • Online ISBN: 978-1-0716-2325-1

  • eBook Packages: Springer Protocols

Publish with us

Policies and ethics