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Data-independent acquisition

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In mass spectrometry, data-independent acquisition (DIA) is a method of molecular structure determination in which all ions within a selected m/z range are fragmented and analyzed in a second stage of tandem mass spectrometry.[1][2] Tandem mass spectra are acquired either by fragmenting all ions that enter the mass spectrometer at a given time (called broadband DIA) or by sequentially isolating and fragmenting ranges of m/z .[3] DIA is an alternative to data-dependent acquisition where a fixed number of precursor ions are selected and analyzed by tandem mass spectrometry.

Broadband

One of the first DIA approaches was a nozzle-skimmer dissociation method called shotgun collision-induced dissociation (CID).[4][5] Fragmentation can be in the ion source of the mass spectrometer by increasing the nozzle-skimmer voltage in electrospray ionization.

MSE is a broadband DIA technique that uses alternating low-energy CID and high-energy CID. The low-energy CID is used to acquire precursor ion mass spectra whereas the high-energy CID is used to obtain product ion information by tandem mass spectrometry.[5]

Data analysis

Data analysis is generally challenging for DIA methods as the resulting fragment ion spectra are highly multiplexed. In DIA spectra therefore the direct relation between an precursor ion and its fragment ions is lost since the fragment ions in DIA spectra may potentially result from multiple precursor ions (any precursor ion present in the m/z range from which the DIA spectrum was derived).

One approach to DIA data analysis attempts to use database-based search engines used in data-dependent acquisition to search the produced multiplexed spectra.[4][6] This approach can be improved by assigning individual fragment ion to precursor ions observed in precursor ion scans, using the elution profile of the fragment ions and the precursor ions, and then searching the resulting "pseudo-spectra".[5]

A second approach to DIA data analysis is based on a targeted analysis, also known as SWATH-MS (Sequential Windowed Acquisition of All Theoretical Fragment Ion Mass Spectra).[7] This approach uses targeted extraction of fragment ion traces directly for identification and quantification without an explicit attempt to de-multiplex the DIA fragment ion spectra.

See also

References

  1. ^ Doerr, Allison (2014). "DIA mass spectrometry". Nature Methods. 12 (1): 35–35. doi:10.1038/nmeth.3234. ISSN 1548-7091.
  2. ^ Law, Kai Pong; Lim, Yoon Pin (2014). "Recent advances in mass spectrometry: data independent analysis and hyper reaction monitoring". Expert Review of Proteomics. 10 (6): 551–566. doi:10.1586/14789450.2013.858022. ISSN 1478-9450.
  3. ^ Chapman, John D.; Goodlett, David R.; Masselon, Christophe D. (2014). "Multiplexed and data-independent tandem mass spectrometry for global proteome profiling". Mass Spectrometry Reviews. 33 (6): 452–470. doi:10.1002/mas.21400. ISSN 0277-7037.
  4. ^ a b Purvine, Samuel; Eppel*, Jason-Thomas; Yi, Eugene C.; Goodlett, David R. (2003). "Shotgun collision-induced dissociation of peptides using a time of flight mass analyzer". PROTEOMICS. 3 (6): 847–850. doi:10.1002/pmic.200300362. ISSN 1615-9853.
  5. ^ a b c Plumb, Robert S.; Johnson, Kelly A.; Rainville, Paul; Smith, Brian W.; Wilson, Ian D.; Castro-Perez, Jose M.; Nicholson, Jeremy K. (2006). "UPLC/MSE; a new approach for generating molecular fragment information for biomarker structure elucidation". Rapid Communications in Mass Spectrometry. 20 (13): 1989–1994. doi:10.1002/rcm.2550. ISSN 0951-4198.
  6. ^ Venable JD, Dong MQ, Wohlschlegel J, Dillin A, Yates JR (2004). "Automated approach for quantitative analysis of complex peptide mixtures from tandem mass spectra". Nat. Methods. 1 (1): 39–45. doi:10.1038/nmeth705. PMID 15782151. {{cite journal}}: |access-date= requires |url= (help)
  7. ^ Gillet LC, Navarro P, Tate S, Röst H, Selevsek N, Reiter L, Bonner R, Aebersold R (2012). "Targeted data extraction of the MS/MS spectra generated by data-independent acquisition: a new concept for consistent and accurate proteome analysis". Mol. Cell Proteomics. 11 (6): O111.016717. doi:10.1074/mcp.O111.016717. PMC 3433915. PMID 22261725. {{cite journal}}: |access-date= requires |url= (help)CS1 maint: unflagged free DOI (link)

Further reading

  • Bilbao, Aivett; Varesio, Emmanuel; Luban, Jeremy; Strambio-De-Castillia, Caterina; Hopfgartner, Gérard; Müller, Markus; Lisacek, Frédérique (2015). "Processing strategies and software solutions for data-independent acquisition in mass spectrometry". PROTEOMICS. 15 (5–6): 964–980. doi:10.1002/pmic.201400323. ISSN 1615-9853.


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