The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
Sample Preparation by Easy Extraction and Digestion (SPEED) - A Universal, Rapid, and Detergent-free Protocol for Proteomics Based on Acid Extraction
Open accessPublished version of a preprint
Abstract
SUMMARY Mass spectrometry is the method of choice for deep and comprehensive analysis of proteomes and has become a key technology to support the progress in life science and biomedicine. However, sample preparation in proteomics is not standardized and contributes to a lack of reproducibility. The main challenge is to extract all proteins in a manner that enables efficient digestion into peptides and is compatible with subsequent mass spectrometric analysis. Current methods are based on the idea of removing detergents or chaotropic agents during sample processing, which are essential for protein extraction but interfere with digestion and LC-MS. These multi-step preparations are prone to losses, biases and contaminations, while being time-consuming and labor-intensive. We report a universal detergent-free method, named Sample Preparation by Easy Extraction and Digestion (SPEED) , which is based on a simple three-step procedure, acidification, neutralization and digestion. SPEED is a one-pot method for peptide generation from various sources and is easily applicable even for lysis-resistant sample types as pure trifluoroacetic acid (TFA) is used for highly efficient protein extraction. SPEED-based sample processing is highly reproducible, provides exceptional peptide yields and enables preparation even of tissue samples with less than 15 min hands-on time and without any special equipment. Evaluation of SPEED performance revealed, that the number of quantified proteins and the quantitative reproducibility are superior compared to the well-established sample processing protocols FASP, ISD-Urea and SP3 for various sample types, including human cells, bacteria and tissue, even at low protein starting amounts.
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
Cox, J., & Mann, M. (2008) · Nature Biotechnology · doi:10.1038/nbt.1511 · Cited by 14,855
Universal sample preparation method for proteome analysis
Wiśniewski, J. R., Zougman, A., Nagaraj, N., & Mann, M. (2009) · Nature Methods · doi:10.1038/nmeth.1322 · Cited by 8,352
Global quantification of mammalian gene expression control
Schwanhäusser, B., Busse, D., Li, N., Dittmar, G., Schuchhardt, J., Wolf, J., Chen, W., & Selbach, M. (2011) · Nature · doi:10.1038/nature10098 · Cited by 6,566 · cited 1×
“Absolute quantification of species-unique proteins by summed intensity-values (iBAQ) (42) revealed that especially proteins from Grampositive bacteria were highly enriched in SPEED-samples (Fig.”
BackgroundTurnbaugh, P. J., Ley, R. E., Hamady, M., Fraser-Liggett, C. M., Knight, R., & Gordon, J. I. (2007) · Nature · doi:10.1038/nature06244 · Cited by 6,091
Rappsilber, J., Mann, M., & Ishihama, Y. (2007) · Nature Protocols · doi:10.1038/nprot.2007.261 · Cited by 4,641
Current understanding of the human microbiome
Gilbert, J. A., Blaser, M. J., Caporaso, J. G., Jansson, J. K., Lynch, S. V., & Knight, R. (2018) · Nature Medicine · doi:10.1038/nm.4517 · Cited by 2,609
MSFragger: ultrafast and comprehensive peptide identification in mass spectrometry–based proteomics
Kong, A. T., Leprevost, F. D. V., Avtonomov, D. M., Mellacheruvu, D., & Nesvizhskii, A. I. (2017) · Nature Methods · doi:10.1038/nmeth.4256 · Cited by 2,406
Mass-spectrometric exploration of proteome structure and function
Aebersold, R., & Mann, M. (2016) · Nature · doi:10.1038/nature19949 · Cited by 2,334
Direct analysis of protein complexes using mass spectrometry
Link, A. J., Eng, J. K., Schieltz, D. M., Carmack, E., Mize, G. J., Morris, D. R., Garvik, B. M., & Yates, J. R. (1999) · Nature Biotechnology · doi:10.1038/10890 · Cited by 2,218
Kulak, N. A., Pichler, G., Paron, I., Nagaraj, N., & Mann, M. (2014) · Nature Methods · doi:10.1038/nmeth.2834 · Cited by 1,719
Ultrasensitive proteome analysis using paramagnetic bead technology
Hughes, C. S., Föehr, S., Garfield, D. A., Furlong, E. E. M., Steinmetz, L. M., & Krijgsveld, J. (2014) · Molecular Systems Biology · doi:10.15252/msb.20145625 · Cited by 1,226
Scaling laws predict global microbial diversity
Locey, K. J., & Lennon, J. T. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1521291113 · Cited by 1,184
The quantitative and condition-dependent Escherichia coli proteome
Schmidt, A., Kochanowski, K., Vedelaar, S. R., Ahrné, E., Volkmer, B., Callipo, L., Knoops, K., Bauer, M., Aebersold, R. H., & Heinemann, M. (2015) · Nature Biotechnology · doi:10.1038/nbt.3418 · Cited by 759
Perseus: A Bioinformatics Platform for Integrative Analysis of Proteomics Data in Cancer Research
Tyanova, S., & Cox, J. (2018) · Methods in molecular biology · doi:10.1007/978-1-4939-7493-1_7 · Cited by 669
Chick, J. M., Kolippakkam, D. N., Nusinow, D. P., Zhai, B., Rad, R., Huttlin, E. L., & Gygi, S. P. (2015) · Nature Biotechnology · doi:10.1038/nbt.3267 · Cited by 435
Suspension trapping (STrap) sample preparation method for bottom‐up proteomics analysis
Zougman, A., Selby, P. J., & Banks, R. E. (2014) · PROTEOMICS · doi:10.1002/pmic.201300553 · Cited by 435
Protein Aggregation Capture on Microparticles Enables Multipurpose Proteomics Sample Preparation*
Batth, T. S., Tollenaere, M. A. X., Rüther, P. L., González-Franquesa, A., Prabhakar, B. S., Bekker‐Jensen, S., Deshmukh, A. S., & Olsen, J. V. (2019) · Molecular & Cellular Proteomics · doi:10.1074/mcp.tir118.001270 · Cited by 432
Fast and Sensitive Total Protein and Peptide Assays for Proteomic Analysis
Wiśniewski, J. R., & Gaugaz, F. Z. (2015) · Analytical Chemistry · doi:10.1021/ac504689z · Cited by 363
High-throughput and high-sensitivity phosphoproteomics with the EasyPhos platform
Humphrey, S. J., Karayel, Ö., James, D. E., & Mann, M. (2018) · Nature Protocols · doi:10.1038/s41596-018-0014-9 · Cited by 353
Sielaff, M., Kuharev, J., Bohn, T., Hahlbrock, J., Bopp, T., Tenzer, S., & Distler, U. (2017) · Journal of Proteome Research · doi:10.1021/acs.jproteome.7b00433 · Cited by 322
Ishihama, Y., Rappsilber, J., & Mann, M. (2006) · Journal of Proteome Research · doi:10.1021/pr050385q · Cited by 280
León, I. R., Schwämmle, V., Jensen, O. N., & Sprenger, R. R. (2013) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m112.025585 · Cited by 264
Piehowski, P., Petyuk, V., Orton, D., Xie, F., Moore, R., Ramirez‐Restrepo, M., Engel, A., Lieberman, A. P., Albin, R. L., Camp, D., et al. (2013) · Journal of Proteome Research · doi:10.1021/pr301146m · Cited by 235
Development and Evaluation of a Micro- and Nanoscale Proteomic Sample Preparation Method
Wang, H., Qian, W., Mottaz, H. M., Clauss, T. R., Anderson, D. J., Moore, R., Camp, D., Khan, A. H., Sforza, D., Pallavicini, M. G., et al. (2005) · Journal of Proteome Research · doi:10.1021/pr050160f · Cited by 177
Protein carbamylation: In vivo modification or in vitro artefact?
Kollipara, L., & Zahedi, R. P. (2013) · PROTEOMICS · doi:10.1002/pmic.201200452 · Cited by 155
Characterization of the E. coli proteome and its modifications during growth and ethanol stress
Soufi, B., Krug, K., Harst, A., & Macek, B. (2015) · Frontiers in Microbiology · doi:10.3389/fmicb.2015.00103 · Cited by 142
Lasch, P., Nattermann, H., Erhard, M., Stämmler, M., Grunow, R., Bannert, N., Appel, B., & Naumann, D. (2008) · Analytical Chemistry · doi:10.1021/ac701822j · Cited by 130
Self-citationIwasaki, M., Miwa, S., Ikegami, T., Tomita, M., Tanaka, N., & Ishihama, Y. (2010) · Analytical Chemistry · doi:10.1021/ac100343q · Cited by 129
Duan, X., Young, R. F., Straubinger, R. M., Page, B. J., Cao, J., Wang, H., Yu, H., Canty, J. M., & Qu, J. (2009) · Journal of Proteome Research · doi:10.1021/pr900001t · Cited by 125
Global Dynamics of the Escherichia coli Proteome and Phosphoproteome During Growth in Minimal Medium
Soares, N. C., Spät, P., Krug, K., & Macek, B. (2013) · Journal of Proteome Research · doi:10.1021/pr3011843 · Cited by 113
Tanca, A., Biosa, G., Pagnozzi, D., Addis, M. F., & Uzzau, S. (2013) · PROTEOMICS · doi:10.1002/pmic.201200478 · Cited by 105
New Mass-Spectrometry-Compatible Degradable Surfactant for Tissue Proteomics
Chang, Y.-H., Gregorich, Z. R., Chen, A. J., Hwang, L., Guner, H., Yu, D., Zhang, J., & Ge, Y. (2015) · Journal of Proteome Research · doi:10.1021/pr5012679 · Cited by 80
Microscale Phosphoproteome Analysis of 10 000 Cells from Human Cancer Cell Lines
Masuda, T., Sugiyama, N., Tomita, M., & Ishihama, Y. (2011) · Analytical Chemistry · doi:10.1021/ac201093g · Cited by 72
Wiśniewski, J. R., & Mann, M. (2016) · Journal of Proteome Research · doi:10.1021/acs.jproteome.6b00403 · Cited by 71
Influence of the Digestion Technique, Protease, and Missed Cleavage Peptides in Protein Quantitation
Chiva, C., Ortega, M., & Sabidó, E. (2014) · Journal of Proteome Research · doi:10.1021/pr500294d · Cited by 59
The Impact of Commonly Used Alkylating Agents on Artifactual Peptide Modification
Hains, P. G., & Robinson, P. J. (2017) · Journal of Proteome Research · doi:10.1021/acs.jproteome.7b00022 · Cited by 52
Why less is more when generating tryptic peptides in bottom‐up proteomics
Hildonen, S., Halvorsen, T. G., & Reubsaet, L. (2014) · PROTEOMICS · doi:10.1002/pmic.201300479 · Cited by 48
Betancourt, L. H., Sánchez, A., Plá, I., Kuras, M., Zhou, Q., Andersson, R. E., & Marko‐Varga, G. (2018) · Journal of Proteome Research · doi:10.1021/acs.jproteome.8b00228 · Cited by 47
Fetzer, C., Korotkov, V. S., Thänert, R., Lee, K. M., Neuenschwander, M., von Kries, J. P., Medina, E., & Sieber, S. A. (2017) · Angewandte Chemie International Edition · doi:10.1002/anie.201708454 · Cited by 43
Anhydrous Trifluoroacetic Acid as a Solvent for Proteins
Katz, J. J. (1954) · Nature · doi:10.1038/174509a0 · Cited by 39
Quantitative analysis of the Escherichia coli proteome
Wiśniewski, J. R., & Rakus, D. (2014) · Data in Brief · doi:10.1016/j.dib.2014.08.004 · Cited by 35
Quantitative Map of β-Lactone-Induced Virulence Regulation
Krysiak, J. M., Stahl, M. M. S., Vomacka, J., Fetzer, C., Lakemeyer, M., Fux, A., & Sieber, S. A. (2017) · Journal of Proteome Research · doi:10.1021/acs.jproteome.6b00705 · Cited by 26
The challenge of metaproteomic analysis in human samples
Blackburn, J. M., & Martens, L. (2015) · Expert Review of Proteomics · doi:10.1586/14789450.2016.1135058 · Cited by 24
SnapShot: Mass Spectrometry for Protein and Proteome Analyses
Leitner, A., & Aebersold, R. H. (2013) · Cell · doi:10.1016/j.cell.2013.06.025 · Cited by 22
A peptide resource for the analysis of Staphylococcus aureus in host–pathogen interaction studies
Depke, M., Michalik, S., Rabe, A., Surmann, K., Brinkmann, L., Jehmlich, N., Bernhardt, J., Hecker, M., Wollscheid, B., Sun, Z., et al. (2015) · PROTEOMICS · doi:10.1002/pmic.201500091 · Cited by 20
Triflic Acid Treatment Enables LC-MS/MS Analysis of Insoluble Bacterial Biomass
Wang, A. Y., Thuy-Boun, P. S., Stupp, G. S., Su, A. I., & Wolan, D. W. (2018) · Journal of Proteome Research · doi:10.1021/acs.jproteome.8b00166 · Cited by 7
Cited by
Sorted by citations
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
Bottom-Up Proteomics: Advancements in Sample Preparation
Duong, V., & Lee, H. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24065350 · Cited by 150
Omics-Driven Biotechnology for Industrial Applications
Amer, B., & Baidoo, E. E. K. (2021) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2021.613307 · Cited by 150
Johnston, H. E., Yadav, K., Kirkpatrick, J. M., Biggs, G. S., Oxley, D., Kramer, H., & Samant, R. S. (2022) · Analytical Chemistry · doi:10.1021/acs.analchem.1c04200 · Cited by 136
Varnavides, G., Madern, M., Anrather, D., Hartl, N., Reiter, W., & Hartl, M. (2022) · Journal of Proteome Research · doi:10.1021/acs.jproteome.2c00265 · Cited by 122
Metadata
- Authors
- Doellinger, J., Schneider, A., Hoeller, M., & Lasch, P.
- Affiliations
- Robert Koch Institute (DE)
- Corresponding author
- Doellinger, Joerg
- Venue
- Molecular & Cellular Proteomics
- Publisher
- Elsevier BV
- Published
- 2020-01
- Volume
- 19
- Issue
- 1
- Pages
- 209-222
- ISSN
- 1535-9476 (ISSN-L)
- PMC
- PMC6944244
- OpenAlex
- W2989663787
- Semantic Scholar
- b2421ccb33741a7fba2821d3b8942779a2eb28be
- Cited by
- 246
- References
- 46
- Citations by year
- 2026: 47 · 2025: 56 · 2024: 49 · 2023: 37 · 2022: 24 · 2021: 21 · 2020: 11
- FWCI
- 5.66
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Molecular & Cellular Proteomics (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Publication server of the Robert Koch Institute (Robert Kock Institute) (submittedVersion, cc-by)
- 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 › Advanced Biosensing Techniques and Applications
- Keywords
- acid extraction, protein digestion, trifluoroacetic acid, peptide production, shotgun proteomics, quantitative proteomics, sample preparation reproducibility, proteome coverage
- MeSH terms
- Animals, Bacillus cereus, Chromatography, Liquid, Detergents, HeLa Cells, Humans, Lung, Mice, Inbred C57BL, Peptides, Proteins, Staphylococcus aureus, Trifluoroacetic Acid, Urea, Reproducibility of Results, Proteome, Proteomics, Escherichia coli K12, Mice, Tandem Mass Spectrometry, Proteolysis
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