The DOI matches its Crossref record; 62 of the 62 references it cites were found in a registry or an index.
Toward an Optimized Workflow for Middle-Down Proteomics
Open accessAbstract
Mass spectrometry (MS)-based proteomics workflows can crudely be classified into two distinct regimes, targeting either relatively small peptides (i.e., 0.7 kDa < Mw < 3.0 kDa) or small to medium sized intact proteins (i.e., 10 kDa < Mw < 30 kDa), respectively, termed bottom-up and top-down proteomics. Recently, a niche has started to be explored covering the analysis of middle-range peptides (i.e., 3.0 kDa < Mw < 10 kDa), aptly termed middle-down proteomics. Although middle-down proteomics can follow, in principle, a modular workflow similar to that of bottom-up proteomics, we hypothesized that each of these modules would benefit from targeted optimization to improve its overall performance in the analysis of middle-range sized peptides. Hence, to generate middle-range sized peptides from cellular lysates, we explored the use of the proteases Asp-N and Glu-C and a nonenzymatic acid induced cleavage. To increase the depth of the proteome, a strong cation exchange (SCX) separation, carefully tuned to improve the separation of longer peptides, combined with reversed phase-liquid chromatography (RP-LC) using columns packed with material possessing a larger pore size, was used. Finally, after evaluating the combination of potentially beneficial MS settings, we also assessed the peptide fragmentation techniques, including higher-energy collision dissociation (HCD), electron-transfer dissociation (ETD), and electron-transfer combined with higher-energy collision dissociation (EThcD), for characterization of middle-range sized peptides. These combined improvements clearly improve the detection and sequence coverage of middle-range peptides and should guide researchers to explore further how middle-down proteomics may lead to an improved proteome coverage, beneficial for, among other things, the enhanced analysis of (co-occurring) post-translational modifications.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Eng, J. K., McCormack, A. L., & Yates, J. R. (1994) · Journal of the American Society for Mass Spectrometry · doi:10.1016/1044-0305(94)80016-2 · Cited by 6,484
2016 update of the PRIDE database and its related tools
Vizcaíno, J. A., Csordás, A., del‐Toro, N., Dianes, J. A., Griss, J., Lavidas, I., Mayer, G., Pérez‐Riverol, Y., Reisinger, F., Ternent, T., et al. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv1145 · Cited by 3,466
Semi-supervised learning for peptide identification from shotgun proteomics datasets
Käll, L., Canterbury, J. D., Weston, J., Noble, W. S., & MacCoss, M. J. (2007) · Nature Methods · doi:10.1038/nmeth1113 · Cited by 2,424
Peptide and protein sequence analysis by electron transfer dissociation mass spectrometry
Syka, J. E. P., Coon, J. J., Schroeder, M. J., Shabanowitz, J., & Hunt, D. F. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0402700101 · Cited by 2,370
Proteoform: a single term describing protein complexity
The Consortium for Top Down Proteomics, Smith, L. M., & Kelleher, N. L. (2013) · Nature Methods · doi:10.1038/nmeth.2369 · Cited by 1,528
Protein Analysis by Shotgun/Bottom-up Proteomics
Zhang, Y., Fonslow, B. R., Shan, B., Baek, M.-C., & Yates, J. R. (2013) · Chemical Reviews · doi:10.1021/cr3003533 · Cited by 1,491
Interpretation of Shotgun Proteomic Data
Nesvizhskii, A. I., & Aebersold, R. (2005) · Molecular & Cellular Proteomics · doi:10.1074/mcp.r500012-mcp200 · Cited by 1,025
Deep proteome and transcriptome mapping of a human cancer cell line
Nagaraj, N., Wisniewski, J. R., Geiger, T., Cox, J., Kircher, M., Kelso, J., Pääbo, S., & Mann, M. (2011) · Molecular Systems Biology · doi:10.1038/msb.2011.81 · Cited by 979
Mapping intact protein isoforms in discovery mode using top-down proteomics
Tran, J. C., Zamdborg, L., Ahlf, D. R., Lee, J. E., Catherman, A. D., Durbin, K. R., Tipton, J. D., Vellaichamy, A., Kellie, J. F., Li, M., et al. (2011) · Nature · doi:10.1038/nature10575 · Cited by 665
Shotgun identification of protein modifications from protein complexes and lens tissue
MacCoss, M. J., McDonald, W. H., Saraf, A., Sadygov, R. G., Clark, J., Tasto, J. J., Gould, K. L., Wolters, D. A., Washburn, M. P., Weiss, A., et al. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.122231399 · Cited by 593
Chi, A., Huttenhower, C., Geer, L. Y., Coon, J. J., Syka, J. E. P., Bai, D. L., Shabanowitz, J., Burke, D. J., Troyanskaya, O. G., & Hunt, D. F. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0607084104 · Cited by 563
Wiśniewski, J. R., Zougman, A., & Mann, M. (2009) · Journal of Proteome Research · doi:10.1021/pr900748n · Cited by 545
Top Down proteomics: Facts and perspectives
Catherman, A. D., Skinner, O. S., & Kelleher, N. L. (2014) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2014.02.041 · Cited by 507
Decoding protein modifications using top-down mass spectrometry
Siuti, N., & Kelleher, N. L. (2007) · Nature Methods · doi:10.1038/nmeth1097 · Cited by 503
Molina, H., Horn, D. M., Tang, N., Mathivanan, S., & Pandey, A. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0611217104 · Cited by 502
Six alternative proteases for mass spectrometry–based proteomics beyond trypsin
Giansanti, P., Tsiatsiani, L., Low, T. Y., & Heck, A. J. R. (2016) · Nature Protocols · doi:10.1038/nprot.2016.057 · Cited by 495
Self-citationValue of Using Multiple Proteases for Large-Scale Mass Spectrometry-Based Proteomics
Swaney, D. L., Wenger, C. D., & Coon, J. J. (2010) · Journal of Proteome Research · doi:10.1021/pr900863u · Cited by 469
Electron-capture dissociation tandem mass spectrometry
Zubarev, R. A. (2003) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2003.12.002 · Cited by 362
Tsiatsiani, L., & Heck, A. J. R. (2015) · FEBS Journal · doi:10.1111/febs.13287 · Cited by 353
Self-citationScheltema, R. A., Hauschild, J.-P., Lange, O., Hornburg, D., Denisov, E. V., Damoc, E., Kuehn, A., Makarov, A., & Mann, M. (2014) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m114.043489 · Cited by 337
Frese, C. K., Altelaar, M. A. F., Hennrich, M. L., Nolting, D., Zeller, M., Griep‐Raming, J., Heck, A. J. R., & Mohammed, S. (2011) · Journal of Proteome Research · doi:10.1021/pr1011729 · Cited by 314
Self-citationFrese, C. K., Altelaar, M. A. F., van den Toorn, H., Nolting, D., Griep‐Raming, J., Heck, A. J. R., & Mohammed, S. (2012) · Analytical Chemistry · doi:10.1021/ac3025366 · Cited by 304
Self-citationSpivak, M., Weston, J., Bottou, L., Käll, L., & Noble, W. S. (2009) · Journal of Proteome Research · doi:10.1021/pr801109k · Cited by 278
[21] Cleavage at glutamic acid with staphylococcal protease
Drapeau, G. R. (1977) · Methods in enzymology on CD-ROM/Methods in enzymology · doi:10.1016/0076-6879(77)47023-x · Cited by 247
[28] Cleavage at aspartic acid
Inglis, A. S. (1983) · Methods in enzymology on CD-ROM/Methods in enzymology · doi:10.1016/s0076-6879(83)91030-3 · Cited by 235
Long-distance combinatorial linkage between methylation and acetylation on histone H3 N termini
Taverna, S. D., Ueberheide, B. M., Liu, Y., Tackett, A. J., Diaz, R. L., Shabanowitz, J., Chait, B. T., Hunt, D. F., & Allis, C. D. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0610993104 · Cited by 189
Fornelli, L., Ayoub, D., Aizikov, K., Beck, A., & Tsybin, Y. O. (2014) · Analytical Chemistry · doi:10.1021/ac4036857 · Cited by 182
Frese, C. K., Zhou, H., Taus, T., Altelaar, M. A. F., Mechtler, K., Heck, A. J. R., & Mohammed, S. (2013) · Journal of Proteome Research · doi:10.1021/pr301130k · Cited by 178
Self-citationPalma, S. D., Hennrich, M. L., Heck, A. J. R., & Mohammed, S. (2012) · Journal of Proteomics · doi:10.1016/j.jprot.2012.04.033 · Cited by 176
Self-citationMoradian, A., Kalli, A., Sweredoski, M. J., & Hess, S. Y. (2013) · PROTEOMICS · doi:10.1002/pmic.201300256 · Cited by 173
The importance of silica type for reverse-phase protein separations
Pearson, J. D., Nan, L., & Regnier, F. E. (1982) · Analytical Biochemistry · doi:10.1016/0003-2697(82)90240-8 · Cited by 164
Straightforward ladder sequencing of peptides using a Lys-N metalloendopeptidase
Taouatas, N., Drugan, M. M., Heck, A. J. R., & Mohammed, S. (2008) · Nature Methods · doi:10.1038/nmeth.1204 · Cited by 141
Self-citationChemical Cleavage at Aspartyl Residues for Protein Identification
Li, A., Sowder, R. C., Henderson, L. E., Moore, S. P., Garfinkel, D. J., & Fisher, R. J. (2001) · Analytical Chemistry · doi:10.1021/ac010619z · Cited by 140
A protease for 'middle-down' proteomics
Wu, C., Tran, J. C., Zamdborg, L., Durbin, K. R., Li, M., Ahlf, D. R., Early, B. P., Thomas, P. M., Sweedler, J. V., & Kelleher, N. L. (2012) · Nature Methods · doi:10.1038/nmeth.2074 · Cited by 135
What does the future hold for top down mass spectrometry?
Garcia, B. A. (2009) · Journal of the American Society for Mass Spectrometry · doi:10.1016/j.jasms.2009.10.014 · Cited by 130
Wu, S., Kim, J., Hancock, W. S., & Karger, B. L. (2005) · Journal of Proteome Research · doi:10.1021/pr050113n · Cited by 125
Helbig, A. O., Gauci, S., Raijmakers, R., van Breukelen, B., Slijper, M., Mohammed, S., & Heck, A. J. R. (2010) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m900463-mcp200 · Cited by 118
Self-citationConfetti: A Multiprotease Map of the HeLa Proteome for Comprehensive Proteomics
Guo, X., Trudgian, D. C., Lemoff, A. S., Yadavalli, S., & Mirzaei, H. (2014) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m113.035170 · Cited by 105
Middle-Down Mass Spectrometry Enables Characterization of Branched Ubiquitin Chains
Valkevich, E. M., Sanchez, N. A., Ge, Y., & Strieter, E. R. (2014) · Biochemistry · doi:10.1021/bi5006305 · Cited by 95
Wu, S., Kim, J., Bandle, R., Liotta, L. A., Petricoin, E. F., & Karger, B. L. (2006) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m600105-mcp200 · Cited by 93
Sidoli, S., Schwämmle, V., Ruminowicz, C., Hansen, T. A., Wu, X., Helin, K., & Jensen, O. N. (2014) · PROTEOMICS · doi:10.1002/pmic.201400084 · Cited by 87
Mohammed, S., & Heck, A. J. R. (2010) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2010.09.005 · Cited by 87
Self-citationMorrison, L. J., & Brodbelt, J. S. (2016) · Journal of the American Chemical Society · doi:10.1021/jacs.6b03905 · Cited by 83
High-Throughput Middle-Down Analysis Using an Orbitrap
Cannon, J. R., Lohnes, K., Wynne, C., Wang, Y., Edwards, N. J., & Fenselau, C. (2010) · Journal of Proteome Research · doi:10.1021/pr1000994 · Cited by 80
Sidoli, S., Lin, S., Karch, K. R., & Garcia, B. A. (2015) · Analytical Chemistry · doi:10.1021/acs.analchem.5b00072 · Cited by 67
Boyne, M. T., Garcia, B. A., Li, M., Zamdborg, L., Wenger, C. D., Babai, S., & Kelleher, N. L. (2008) · Journal of Proteome Research · doi:10.1021/pr800635m · Cited by 67
Laskay, Ü. A., Lobas, A. A., Srzentić, K., Gorshkov, M. V., & Tsybin, Y. O. (2013) · Journal of Proteome Research · doi:10.1021/pr400522h · Cited by 62
Enhanced Dissociation of Intact Proteins with High Capacity Electron Transfer Dissociation
Riley, N. M., Mullen, C., Weisbrod, C. R., Sharma, S., Senko, M. W., Zabrouskov, V., Westphall, M. S., Syka, J. E. P., & Coon, J. J. (2015) · Journal of the American Society for Mass Spectrometry · doi:10.1007/s13361-015-1306-8 · Cited by 62
Toward efficient analysis of <70 kDa proteins with 100% sequence coverage
Forbes, A. J., Mazur, M. T., Patel, H. M., Walsh, C. T., & Kelleher, N. L. (2001) · PROTEOMICS · doi:10.1002/1615-9861(200108)1:8 · Cited by 61
Advantages of Extended Bottom-Up Proteomics Using Sap9 for Analysis of Monoclonal Antibodies
Srzentić, K., Fornelli, L., Laskay, Ü. A., Monod, M., Beck, A., Ayoub, D., & Tsybin, Y. O. (2014) · Analytical Chemistry · doi:10.1021/ac502766n · Cited by 58
Tamara, S., Dyachenko, A., Fort, K. L., Makarov, A., Scheltema, R. A., & Heck, A. J. R. (2016) · Journal of the American Chemical Society · doi:10.1021/jacs.6b05147 · Cited by 53
Self-citationCristobal, A., Hennrich, M. L., Giansanti, P., Goerdayal, S. S., Heck, A. J. R., & Mohammed, S. (2012) · The Analyst · doi:10.1039/c2an35445d · Cited by 52
Self-citationGarcia, B. A., Siuti, N., Thomas, C. E., Mizzen, C. A., & Kelleher, N. L. (2006) · International Journal of Mass Spectrometry · doi:10.1016/j.ijms.2006.07.022 · Cited by 45
Offline High pH Reversed-Phase Peptide Fractionation for Deep Phosphoproteome Coverage
Batth, T. S., & Olsen, J. V. (2015) · Methods in molecular biology · doi:10.1007/978-1-4939-3049-4_12 · Cited by 45
Zhang, J., Wu, S., Kim, J., & Karger, B. L. (2007) · Journal of Chromatography A · doi:10.1016/j.chroma.2007.03.128 · Cited by 42
Ion Mobility Separation of Variant Histone Tails Extending to the “Middle-Down” Range
Shvartsburg, A. A., Zheng, Y., Smith, R. D., & Kelleher, N. L. (2012) · Analytical Chemistry · doi:10.1021/ac300612y · Cited by 42
Proteomic Analyses Using Grifola frondosa Metalloendoprotease Lys-N
Hohmann, L. J., Sherwood, C. A., Eastham, A., Peterson, A. C., Eng, J. K., Eddes, J. S., Shteynberg, D. D., & Martin, D. B. (2009) · Journal of Proteome Research · doi:10.1021/pr800774h · Cited by 35
Savitski, M. M., Mathieson, T., Becher, I., & Bantscheff, M. (2010) · Journal of Proteome Research · doi:10.1021/pr1006813 · Cited by 35
ZIC-cHILIC as a fractionation method for sensitive and powerful shotgun proteomics
Palma, S. D., Mohammed, S., & Heck, A. J. R. (2012) · Nature Protocols · doi:10.1038/nprot.2012.124 · Cited by 33
Self-citationAlam, A., Mataj, A., Yang, Y., Boysen, R. I., Bowden, D. K., & Hearn, M. T. W. (2010) · Analytical Chemistry · doi:10.1021/ac1017106 · Cited by 12
Mass‐biased partitioning to enhance middle down proteomics analysis
Cannon, J. R., Edwards, N. J., & Fenselau, C. (2013) · Journal of Mass Spectrometry · doi:10.1002/jms.3164 · Cited by 11
Fournier, I., Chaurand, P., Bolbach, G., L�tzenkirchen, F., Spengler, B., & Tabet, J. C. (2000) · Journal of Mass Spectrometry · doi:10.1002/1096-9888(200012)35:12 · Cited by 11
Cited by
Sorted by citations
The growing role of precision and personalized medicine for cancer treatment
Krzyszczyk, P., Acevedo, A., Davidoff, E. J., Timmins, L. M., Marrero-Berríos, I., Patel, M., White, C., Lowe, C., Sherba, J. J., Hartmanshenn, C., et al. (2018) · TECHNOLOGY · doi:10.1142/s2339547818300020 · Cited by 759
A Critical Review of Bottom-Up Proteomics: The Good, the Bad, and the Future of This Field
Dupree, E. J., Jayathirtha, M., Yorkey, H., Mihăşan, M., Petre, B. A., & Darie, C. C. (2020) · Proteomes · doi:10.3390/proteomes8030014 · Cited by 390
James, E. I., Murphree, T. A., Vorauer, C., Engen, J. R., & Guttman, M. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00279 · Cited by 308
Ultraviolet Photodissociation Mass Spectrometry for Analysis of Biological Molecules
Brodbelt, J. S., Morrison, L. J., & Santos, I. C. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.9b00440 · Cited by 302
Decoding Post-Translational Modification Crosstalk With Proteomics
Leutert, M., Entwisle, S. W., & Villén, J. (2021) · Molecular & Cellular Proteomics · doi:10.1016/j.mcpro.2021.100129 · Cited by 262
Metadata
- Authors
- Cristobal, A., Marino, F., Post, H., van den Toorn, H. W. P., Mohammed, S., & Heck, A. J. R.
- Affiliations
- Utrecht University (NL)
- Utrecht University , , Padualaan 8 , ,
- Corresponding author
- Mohammed, Shabaz
- Heck, Albert J. R.
- Venue
- Analytical Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2017-02-24
- Volume
- 89
- Issue
- 6
- Pages
- 3318-3325
- ISSN
- 0003-2700 (ISSN-L)
- 1520-6882
- PMC
- PMC5362747
- OpenAlex
- W2590064181
- Cited by
- 130
- References
- 62
- Citations by year
- 2026: 7 · 2025: 17 · 2024: 8 · 2023: 20 · 2022: 8 · 2021: 17 · 2020: 18 · 2019: 17 · 2018: 11 · 2017: 5
- FWCI
- 6.88
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Analytical Chemistry (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
- Funders
- Horizon 2020 Framework Programme (686547)
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek (184.032.201, 700.10.429, 718.015.003)
- Topics
- Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
- Physical Sciences › Chemistry › Spectroscopy › Mass Spectrometry Techniques and Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
- Keywords
- middle-down proteomics, reversed-phase liquid chromatography, electron transfer dissociation, post-translational modification, sequencing depth
- MeSH terms
- HeLa Cells, Humans, Particle Size, Peptide Hydrolases, Peptides, Mass Spectrometry, Proteomics
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review