The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
The One Hour Yeast Proteome
Open accessAbstract
We describe the comprehensive analysis of the yeast proteome in just over one hour of optimized analysis. We achieve this expedited proteome characterization with improved sample preparation, chromatographic separations, and by using a new Orbitrap hybrid mass spectrometer equipped with a mass filter, a collision cell, a high-field Orbitrap analyzer, and, finally, a dual cell linear ion trap analyzer (Q-OT-qIT, Orbitrap Fusion). This system offers high MS(2) acquisition speed of 20 Hz and detects up to 19 peptide sequences within a single second of operation. Over a 1.3 h chromatographic method, the Q-OT-qIT hybrid collected an average of 13,447 MS(1) and 80,460 MS(2) scans (per run) to produce 43,400 (x) peptide spectral matches and 34,255 (x) peptides with unique amino acid sequences (1% false discovery rate (FDR)). On average, each one hour analysis achieved detection of 3,977 proteins (1% FDR). We conclude that further improvements in mass spectrometer scan rate could render comprehensive analysis of the human proteome within a few hours.
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Currently, benchtop Orbitrap mass spectrometers are the most common instrument for proteomics as they bypass the need for cryogenic cooling (which is needed for the magnets of FTICR instruments) while still offering high-resolution and faster acquisition speeds [98,99].”
From Top-down proteomics: challenges, innovations, and applications in basic and clinical research (2020) · cites this paper as [99]
In the citing paper
“intact protein MS cannot match the analysis throughput typically obtainable through BUP (i.e., thousands of protein families identified in a single experiment).15”
From Proton Transfer Charge Reduction Enables High-Throughput Top-Down Analysis of Large Proteoforms (2019) · cites this paper as [15]
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
Quantitative Monitoring of Gene Expression Patterns with a Complementary DNA Microarray
Schena, M., Shalon, D., Davis, R. W., & Brown, P. O. (1995) · Science · doi:10.1126/science.270.5235.467 · Cited by 9,609 · cited 1×
“Owing to cost, speed, and accessibility, transcriptomic analysis is often used as a proteomic proxy (3, 4).”
MethodUniversal 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
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
Exploring the metabolic and genetic control of gene expression on a genomic scale.
Derisi, J., Iyer, V., & Brown, P. (1997) · Science · doi:10.1126/science.278.5338.680 · Cited by 4,832
Large-scale analysis of the yeast proteome by multidimensional protein identification technology
Washburn, M. P., Wolters, D. A., & Yates, J. R. (2001) · Nature Biotechnology · doi:10.1038/85686 · Cited by 4,768
Correlation between Protein and mRNA Abundance in Yeast
Gygi, S. P., Rochon, Y., Franza, B. R., & Aebersold, R. (1999) · Molecular and Cellular Biology · doi:10.1128/mcb.19.3.1720 · Cited by 3,819
Global analysis of protein expression in yeast
Ghaemmaghami, S., Huh, W.-K., Bower, K., Howson, R. W., Belle, A., Dephoure, N., O'Shea, E. K., & Weissman, J. S. (2003) · Nature · doi:10.1038/nature02046 · Cited by 3,750
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
Saccharomyces Genome Database: the genomics resource of budding yeast
Cherry, J., Hong, E., Amundsen, C., Balakrishnan, R., Binkley, G., Chan, E. T., Christie, K., Costanzo, M., Dwight, S., Engel, S., et al. (2011) · Nucleic Acids Res. · doi:10.1093/nar/gkr1029 · Cited by 1,886 · cited 1×
“Historically yeast, with its 6600 open reading frames, has been the preferred proteomic technology test-bed (8).”
BackgroundPeng, J., Elias, J. E., Thoreen, C. C., Licklider, L., & Gygi, S. P. (2002) · Journal of Proteome Research · doi:10.1021/pr025556v · Cited by 1,652
Flagged first, then by citations
Cited by
Sorted by citations
Items 401–500 of 529
Multiple Sgip1 splice variants inhibit cannabinoid receptor 1 internalization
Durydivka, O., Gazdarica, M., Večerková, K., Radenkovic, S., & Blahoš, J. (2023) · Gene · doi:10.1016/j.gene.2023.147851 · Cited by 6
MmuPV1 E6 induces cell proliferation and other hallmarks of cancer
Romero-Masters, J. C., Muehlbauer, L. K., Hayes, M., Grace, M. R., Shishkova, E., Coon, J. J., Münger, K., & Lambert, P. F. (2023) · mBio · doi:10.1128/mbio.02458-23 · Cited by 5
“…passage MmuPV1 E6 expressing and vector control MKs through quantitative mass spectrometry using nanoflow liquid chromatography coupled with a hybrid quadrupole-Orbitrap-linear ion trap mass spectrometer (MS) and RNAseq analysis performed on ribodepleted total RNA on a NovaSeq, respectively (59).”
MethodSelf-citationFukuda, T., Hike, H., Usui, F., Bando, Y., Nishimura, T., Kodama, T., & Kawamura, T. (2015) · Analytical Biochemistry · doi:10.1016/j.ab.2015.06.002 · Cited by 6
Becker, E., Liu, Y., Lardenois, A., Walther, T., Horecka, J., Stuparević, I., Law, M. J., Lavigne, R., Evrard, B., Demougin, P., et al. (2015) · Journal of Proteomics · doi:10.1016/j.jprot.2015.01.015 · Cited by 6
“Very recent feasibility studies reported vastly improved experimental protocols yielding quantitative information about protein concentrations in total cell extracts [15-17].”
BackgroundShotgun Approaches for Venom Analysis
Melani, R. D., Goto‐Silva, L., Nogueira, F. C. S., Junqueira, M., & Domont, G. B. (2016) · Springer eBooks · doi:10.1007/978-94-007-6416-3_26 · Cited by 6
Precipitation of Detergent-Containing Samples for Top-Down and Bottom-Up Proteomics
Doucette, A. A., & Crowell, A. M. J. (2019) · IntechOpen eBooks · doi:10.5772/intechopen.85547 · Cited by 8
“BUP offers the potential for deep proteome coverage; using state-of-the-art MS instrumentation, coupled with appropriate separation, it is essentially possible to detect “all” unique proteins of simple proteome systems [4, 5].”
BackgroundNovák, J., Jurnečka, D., Linhartová, I., Holubová, J., Staněk, O., Štipl, D., Dienstbier, A., Večerek, B., de Azevedo, N. T. D., Provazník, J., et al. (2020) · mSystems · doi:10.1128/msystems.00612-20 · Cited by 5
“The instrument was run in top speed mode with 2-s cycles (80).”
MethodKlassen, R. A., Chytilová, Š., Arzhanov, I., Žucha, D., Rohlová, E., Androvic, P., Abaffy, P., Urdzíková, L. M., Kubista, M., Romanyuk, N., et al. (2025) · Molecular Therapy — Nucleic Acids · doi:10.1016/j.omtn.2025.102746 · Cited by 5
Lin, F., Tan, H. J., Guan, J. S., & Lim, Y. P. (2014) · Expert Review of Proteomics · doi:10.1586/14789450.2014.904751 · Cited by 5
“quadrupole-Orbitrap technology [31,32] and Orbitrap hybrid MS, which enables the entire yeast genome to be mapped in about 1 h (3977 proteins per hour) [33], mapping the entire human proteome, predicted to be 10-times more complicated than the genome as a result of post-translational modifications (PTM), remains a cha…”
BackgroundRamakrishnan, R., Roy, A., Hradecký, J., Kai, M., Harant, K., Svatoš, A., & Jirošová, A. (2024) · Frontiers in Forests and Global Change · doi:10.3389/ffgc.2023.1215813 · Cited by 5
The role of proteomics in studies of protein moonlighting
Beynon, R. J., Hammond, D. E., Harman, V. M., & Woolerton, Y. (2014) · Biochemical Society Transactions · doi:10.1042/bst20140277 · Cited by 5
van Pijkeren, A., Bischoff, R., & Kwiatkowski, M. (2019) · The Analyst · doi:10.1039/c9an01258c · Cited by 5
Rackiewicz, M., Große‐Hovest, L., Alpert, A. J., Zarei, M., & Dengjel, J. (2017) · Journal of Proteome Research · doi:10.1021/acs.jproteome.7b00015 · Cited by 6
Bensaddek, D., Nicolas, A., & Lamond, A. I. (2018) · Current Opinion in Chemical Biology · doi:10.1016/j.cbpa.2018.10.011 · Cited by 5
Proteomics Technologies and Applications
Abdurakhmonov, I. Y. (2019) · IntechOpen eBooks · doi:10.5772/intechopen.73445 · Cited by 5
Subcellular Proteomics in Conifers: Purification of Nuclei and Chloroplast Proteomes
Lamelas, L., García, L., Cañal, M. J., & Meijón, M. (2020) · Methods in molecular biology · doi:10.1007/978-1-0716-0528-8_5 · Cited by 5
Analysis of the proteins secreted by Trichoderma harzianum P49P11 under carbon-limited conditions
Gelain, L., Pabst, M., Pradella, J. G. D. C., da Costa, A. C., van der Wielen, L. A. M., & van Gulik, W. M. (2020) · Journal of Proteomics · doi:10.1016/j.jprot.2020.103922 · Cited by 5
“The protein solution was diluted using 200 mM ammonium bicarbonate buffer to approximately 1 M urea and further digested using trypsin in a ratio of protein to trypsin of approximately 50 to 1, at 37 °C over-night [11].”
MethodSystematic Analysis of Yeast Proteome Reveals Peptide Detectability Factors for Mass Spectrometry
Jung, S., Alexandre, D., & von Haller, P. P. (2015) · Journal of Proteomics & Bioinformatics · doi:10.4172/jpb.1000374 · Cited by 4
“, Q-Exactive) has shown similar results to ours in terms of the number of proteins identified and reproducibility [24,25], our approach provides a method for those without access to the latest mass spectrometers, which are becoming out of reach for many laboratories, to outperform DDA strategies on similar instruments…”
Harnessing mass spectrometry-based proteomics for continuous directed evolution
Belt, K., Obe, D., Wilson, M. A., Millar, A. H., & Bathe, U. (2025) · Synthetic Biology · doi:10.1093/synbio/ysaf017 · Cited by 3
“…coverage but rather an economical use that could be employed across populations and timepoints in a cam-paign; the relatively short 26 min gradient and 30 min acquisition time inevitably limited the number of identifications compared with longer gradients uses in deeper yeast proteomics [58].”
Erban, T., Sopko, B., Bodrinova, M., Talacko, P., Chalupnikova, J., Markovic, M., & Kamler, M. (2022) · PROTEOMICS · doi:10.1002/pmic.202200146 · Cited by 4
“The instrument was run at top speed mode with 2 s cycles [38].”
MethodHyphenations of one-dimensional capillary liquid chromatography with mass spectrometry
Wilson, S. R., Berg, H. E., Røberg‐Larsen, H., & Lundanes, E. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-809638-3.00009-0 · Cited by 4
IQGAP1 and RNA Splicing in the Context of Head and Neck via Phosphoproteomics
Muehlbauer, L. K., Wei, T., Shishkova, E., Coon, J. J., & Lambert, P. F. (2022) · Journal of Proteome Research · doi:10.1021/acs.jproteome.2c00309 · Cited by 4
Self-citationProteomics of The Human Pituitary Tissue: Bioanalytical Methods and Applications
Giorgianni, F., Koirala, D., & Beranová-Giorgianni, Š. (2014) · Bioanalysis · doi:10.4155/bio.14.132 · Cited by 4
The Advent of Mass Spectrometry-Based Proteomics in Systems Biology Research
Blattmann, P., & Aebersold, R. H. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-394447-4.40030-1 · Cited by 5
BoxCar Assisted MS Fragmentation (BAMF)Preprint
Jenkins, C., & Orsburn, B. C. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/860858 · Cited by 4
Deep Proteome of the Developing Chick Midbrain
Stepler, K. E., Hannah, S. C., Taneyhill, L. A., & Nemes, P. (2023) · Journal of Proteome Research · doi:10.1021/acs.jproteome.3c00291 · Cited by 3
Sakthivel, K., Lal, S. B., Srivastava, S., Chaturvedi, K. K., Khan, Y. J., Mishra, D. C., Madival, S. D., Vaidhyanathan, R., & Jha, G. K. (2024) · Journal of Proteome Research · doi:10.1021/acs.jproteome.4c00552 · Cited by 3
Bottom-Up Proteomics Methods for Strain-Level Typing and Identification of Bacteria
Dworzański, J. P. (2016) · Springer eBooks · doi:10.1007/978-3-319-26070-9_5 · Cited by 3
Advances in Mass Spectrometry-Based Proteomics and Its Application in Cancer Research
Hardt, M. (2019) · Springer eBooks · doi:10.1007/978-981-32-9816-3_4 · Cited by 3
Large‐scale identification of membrane proteins with properties favorable for crystallization
Kim, J., Kagawa, A., Kurasaki, K., Ataie, N., Cho, I. K., Li, Q. X., & Ng, H. L. (2015) · Protein Science · doi:10.1002/pro.2766 · Cited by 3
Hypothesis Driven versus Hypothesis-free: Filling the Gaps in CoQ Biosynthesis
Enrı́quez, J. A., Sánchez‐Cabo, F., & Vázquez, J. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2016.09.021 · Cited by 3
“These conditions allow identification of more than 3,000 yeast proteins in 1 hr runs (Hebert et al., 2014).”
BackgroundBileck, A., Mayer, R. L., Kreutz, D., Weiss, T., Taschner‐Mandl, S., Meier, S. M., Slany, A., & Gerner, C. (2016) · Journal of Proteomics · doi:10.1016/j.jprot.2016.11.008 · Cited by 3
Tu, C., Shen, S., Sheng, Q., Shyr, Y., & Qu, J. (2016) · Journal of Proteomics · doi:10.1016/j.jprot.2016.11.020 · Cited by 3
ProteoModlR for functional proteomic analysis
Cifani, P., Shakiba, M., Chhangawala, S., & Kentsis, A. (2017) · BMC Bioinformatics · doi:10.1186/s12859-017-1563-6 · Cited by 3
“High-resolution mass spectrometry (MS) satisfies these requirements, enabling quantitative measurements of post-translational modifications across thousands of proteins, with proteome coverage approaching genome-scale levels [1 – 3].”
BackgroundKřı́ž, V., Krausová, M., Burešová, P., Dobeš, J., Hrčkulák, D., Babošová, O., Švec, J., & Kořínek, V. (2017) · Transgenic Research · doi:10.1007/s11248-017-0027-0 · Cited by 3
“Neutral lost scan mass spectrometry (NLS-MS) analysis was performed according to Hebert et al. (2014).”
MethodDual role of Fam208a during zygotic cleavage and early embryonic development
Gresakova, V., Novosadová, V., Procházková, M., Procházka, J., & Sedláček, R. (2021) · Experimental Cell Research · doi:10.1016/j.yexcr.2021.112723 · Cited by 3
Kappler, L., Kollipara, L., Lehmann, R., & Sickmann, A. (2019) · Advances in experimental medicine and biology · doi:10.1007/978-981-13-8367-0_9 · Cited by 3
Protein identification with deep learning: from abc to xyzPreprint
Tran, N. H., Levine, Z., Xin, L., Shan, B., & Li, M. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1710.02765 · Cited by 4
“functions than de novo sequencing tools). RESULTS Performance Evaluation We evaluated the accuracy of DeepNovo de novo sequencing and database search on a dataset of Saccharomyces cerevisiae proteome [18]. The data was acquired from Thermo Scientific Orbitrap Fusion instrument with the Higherenergy Collisional Dissoci…”
MethodInfluentialOrsburn, B. C., Jenkins, C., Miller, S. M., Neely, B. A., & Bumpus, N. N. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3589835 · Cited by 3
Jiroušková, M., Harant, K., Cejnar, P., Ojha, S., Korelova, K., Sarnová, L., Sticová, E., Mayr, C. H., Schiller, H. B., & Gregor, M. (2024) · eLife · doi:10.7554/elife.98023 · Cited by 6
Gao, M., Gupta, S., Yang, W., Yu, R., & Röst, H. L. (2025) · Communications Chemistry · doi:10.1038/s42004-025-01734-5 · Cited by 2
Kolářová, I., Jelínková, K., Přibylová, H., Arserim, S. K., Pekağırbaş, M., Yetişmiş, K., Berberoglu, U., Altuğ, Ü., Özbel, Y., Töz, S. O., et al. (2026) · Parasites & Vectors · doi:10.1186/s13071-026-07286-4 · Cited by 2
“The instrument was run in top speed mode with 2 s cycles [44].”
From Mass Spectrometry-Based Glycosylation Analysis to Glycomics and Glycoproteomics
Khoo, K. (2014) · Advances in neurobiology · doi:10.1007/978-1-4939-1154-7_7 · Cited by 2
Methods to Isolate Proteins from Detergent-containing Solutions for Proteome Analysis
Crowell, A. M. J. (2014) · DalSpace (Dalhousie University) · Cited by 2
Differential requirements for Smarca5 expression during hematopoietic stem cell commitment
Turková, T., Kokavec, J., Zikmund, T., Dibus, N., Pimková, K., Nemec, D., Holeckova, M., Ruskova, L., Sedláček, R., C̆ermák, L., et al. (2024) · Communications Biology · doi:10.1038/s42003-024-05917-z · Cited by 2
Vom humanen Genom zum humanen Proteom
Muñoz, J., & Heck, A. J. R. (2014) · Angewandte Chemie · doi:10.1002/ange.201406545 · Cited by 2
Multiple Aspects of PIP2 Involvement in C. elegans Gametogenesis
Uličná, L., Petrusová, J., & Hozák, P. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms19092679 · Cited by 2
Can proteomics predict the prognosis in chronic dioxin intoxication?
Pelclová, D., Talacko, P., Navrátil, T., Zámostná, B., Fenclová, Z., Vlčková, Š., & Zakharov, S. (2019) · Monatshefte für Chemie - Chemical Monthly · doi:10.1007/s00706-019-02460-0 · Cited by 2
Zaman, K., Pandey, P., Shulaev, V., & Prókai, L. (2021) · Methods in molecular biology · doi:10.1007/978-1-0716-1822-6_7 · Cited by 2
Shotgun Approaches for Venom Analysis
Melani, R. D., Goto‐Silva, L., Nogueira, F. C. S., Junqueira, M., & Domont, G. B. (2014) · Springer eBooks · doi:10.1007/978-94-007-6649-5_26-1 · Cited by 2
The Proteomics Toolbox Applied to Peroxisomes
Oeljeklaus, S., Schummer, A., & Warscheid, B. (2014) · Springer eBooks · doi:10.1007/978-3-7091-1788-0_12 · Cited by 2
Gresakova, V., Novosadová, V., Procházková, M., Bhargava, S., Jenickova, I., Procházka, J., & Sedláček, R. (2019) · Experimental Cell Research · doi:10.1016/j.yexcr.2019.05.018 · Cited by 2
RetractedHigh-throughput protein analysis using mass spectrometry-based methods
Boström, T. (2014) · Diva portal (Dalarna University Library) · Cited by 2
Wu, S., Ma, H., Prytkova, I., Stenoien, D. L., & Paša‐Tolić, L. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-409547-2.12138-9 · Cited by 2
Peptide and Protein Bioanalysis Using Integrated Column‐to‐Source Technology for High‐Flow Nanospray
Needham, S. R., & Valaskovic, G. A. (2017) · doi:10.1002/9781119371779.ch5 · Cited by 2
Sztacho, M., Červenka, J., Šalovská, B., Antiga, L., Hoboth, P., & Hozák, P. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.03.19.585734 · Cited by 2
Kulej, K., Steinberg, A. P., Zhang, J., Casalena, G., Havasov, E., Shah, S. P., McPherson, A., & Kentsis, A. (2026) · eLife · doi:10.7554/elife.108878.1 · Cited by 3
Yilma, P., Kostrouchová, M., Talacko, P., Kostrouchová, V., Kostrouch, D., Novák, P., & Kostrouchová, M. (2019) · Folia Biologica · doi:10.14712/fb2019065050203 · Cited by 1
“Quantifications were performed with the label-free algorithms and data analysis was performed using the Perseus 1.5.2.4 software (Masuda et al. 2008; Cox et al. 2014; Hebert et al. 2014; Tyanova et al. 2016).”
MethodInfluentialMarešová, A., Grulyová, M., Hradilová, M., Zemlianski, V., Princová, J., & Převorovský, M. (2024) · PLoS Genetics · doi:10.1371/journal.pgen.1011509 · Cited by 1
Koběrská, M., Veselá, L., Novotná, M., Mahor, D., Mazumdar, A., Pinďáková, N., Petravicius, P. O., Pokorná, J., Kameník, Z., & Novotna, G. B. (2025) · mBio · doi:10.1128/mbio.01568-25 · Cited by 1
Aguilan, J. T., Madrid-Aliste, C. J., Zandkarimi, F., Makarov, A. A., Shoultz, A., Ayesa, U., Hu, H., Dance, Z. E. X., Saha-Shah, A., & Sidoli, S. (2025) · ACS Pharmacology & Translational Science · doi:10.1021/acsptsci.5c00658 · Cited by 2
Novotný, T., Eckhardt, A., Knitlová, J., Doubková, M., Stachon, R., Hrdina, F., Kobets, T., & Ostadal, M. (2026) · Cells · doi:10.3390/cells15110977 · Cited by 1
“The instrument was run in top speed mode with 2 s cycles [59].”
New challenges for proteomics technologies: a mini perspective review
Shen, Y., Paša‐Tolić, L., Adkins, J., & Richard, D. J. (2014) · Cited by 1
Soffientini, P., & Bachi, A. (2017) · Methods in molecular biology · doi:10.1007/978-1-4939-7231-9_18 · Cited by 1
Baiwir, D., Nanni, P., Müller, S., Smargiasso, N., Morsa, D., Pauw, E. D., & Mazzucchelli, G. (2018) · Springer eBooks · doi:10.1007/978-3-319-69682-9_5 · Cited by 1
Introduction to sample preparation for proteomics and mass spectrometry
Henry, M. A., & Meleady, P. (2024) · Elsevier eBooks · doi:10.1016/b978-0-323-90395-0.00008-5 · Cited by 1
Methodologies and Applications of Proteomics for Study of Yeast Strains: An Update
Lacerda, M. P. F., Marcelino, M., Lourencetti, N. M. S., Neto, Á. D. B., Gattás, E. A. D. L., Mendes‐Giannini, M. J. S., & Fusco‐Almeida, A. M. (2019) · Current Protein and Peptide Science · doi:10.2174/1389203720666190715145131 · Cited by 1
Gahoual, R., François, Y., Mignet, N., & Houzé, P. (2020) · Elsevier eBooks · doi:10.1016/b978-0-08-102906-0.00017-9 · Cited by 1
“Therefore the proteomic analysis has over the recent years demonstrated to be particularly powerful with the possibility using state-ofthe-art MS instrumentation to identify in a single analysis more than 10,000 proteins using an injected quantity of sample generally corresponding inferior to 1 μg of protein extract […”
BackgroundZhang, Z., Zheng, M., Zhao, Y., & Wang, P. G. (2021) · Bioanalysis · doi:10.4155/bio-2021-0202 · Cited by 1
Methods of Analysis of Sperm Antigens Related to Fertility
Shetty, J., Sherman, N. E., & Herr, J. C. (2016) · Springer eBooks · doi:10.1007/978-3-319-40788-3_2 · Cited by 1
Bioinformatics applications in proteomics data analysis
Peng, M. (2015) · Utrecht University Repository (Utrecht University) · Cited by 1
The Deimination of Arginine to Citrulline
Creese, A. J., & Cooper, H. J. (2016) · doi:10.1002/9781119250906.ch7 · Cited by 1
Shifting the Paradigm: Peptide-Centric Analysis of Systematically Sampled Mass Spectrometry Data
Ting, Y. S. (2016) · ResearchWorks at the University of Washington (University of Washington) · Cited by 1
Belov (2017) · Digital Repository Service (Northeastern University) · doi:10.17760/d20259955 · Cited by 1
“injection of a HeLa cell lysate [76-79] and over 9,000 proteins identifications from analysis of”
MethodDirect Measurement of Synchronous Precursor Selection (SPS) Accuracy in Public Proteomics DatasetsPreprint
Jenkins, C., Rinas, A., & Orsburn, B. C. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/647917 · Cited by 1
Cas9-mediated gene disruption in tetraploid Giardia intestinalisPreprint
Horáčková, V., Voleman, L., Hagen, K. D., Petrů, M., Vinopalová, M., Weisz, F., Janowicz, N., Marková, L., Motyčková, A., Tůmová, P., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.04.21.440745 · Cited by 1
A Data-Dependent Acquisition Ladder for Ultrasensitive (Neuro)ProteomicsPreprint
Choi, S. B., Muñoz-LLancao, P., Manzini, M. C., & Nemes, P. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.08.03.454943 · Cited by 1
OMICS – Mass Spectrometry-Based Proteomics in Systems Biology Research
Blattmann, P., & Aebersold, R. H. (2022) · Elsevier eBooks · doi:10.1016/b978-0-12-821618-7.00158-9 · Cited by 2
Quantitative physiology and biomass composition of Cyberlindnera jadinii in ethanol-grown culturesPreprint
Vieira‐Lara, M. A., Warmerdam, M., de Hulster, E. A. F., van den Broek, M. A., Daran, J.-M. G., & Pronk, J. T. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.08.31.610600 · Cited by 1
Kulej, K., Steinberg, A. P., Zhang, J., Casalena, G., Havasov, E., Shah, S. P., McPherson, A., & Kentsis, A. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.08.23.671943 · Cited by 1
The accuracy of statistical confidence estimates in shotgun proteomics
Granholm, V. (2014) · KTH Publication Database DiVA (KTH Royal Institute of Technology)
Kawamura, T. (2016) · Journal of the Mass Spectrometry Society of Japan · doi:10.5702/massspec.s16-16
Development and application of novel proteomics methods in proteomics research
Hao, P. (2015) · DR-NTU (Nanyang Technological University) · doi:10.32657/10356/62181
“The collected fractions were then dried with vacuum centrifuge, pooled into 5 fractions by combining (1-4); (5-6); (7-8); (9-11); (12-18), and redissolved in 3% ACN/0.”
BackgroundMethodgrowing and stationary phase marine bacteria
Muthusamy, S., Lundin, D., Miguel, R., Branca, M., Baltar, F., Lehtiö, J., & Pinhassi, J. (2016)
Characterizing the Termini of Recombinant Proteins
Solis, N., & Overall, C. M. (2017) · Wiley eBooks · doi:10.1002/9781119384434.ch3
A path to the powerhouse: systems‐to‐structure approaches for studying mitochondrial proteins
Pagliarini, D. J. (2018) · Protein Science · doi:10.1002/pro.3430
“As an orthogonal approach, we took advantage of a broader range of MS-based profiling strategies being optimized by our collaborators in the Coon Lab.(12,13) We began with the yeast S.”
MethodGao, Z., Chang, C., Zhu, Y., & Fu, Y. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/399436
Production of Synthetic Spider Silk
Hekman, R. M. (2018) · Scholarly Commons (University of the Pacific)
Suttapitugsakul, S., Xiao, H., & Wu, R. (2019) · Mass Spectrometry‐Based Chemical Proteomics · doi:10.1002/9781118970195.ch8
Haseeb, M., & Saeed, F. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2102.02286
“Millions of raw, noisy spectra can be produced, in a span of few hours, using modern mass spectrometry technologies producing several gigabytes of data [18] (Supplementary Fig.”
BackgroundMICOS and F 1 F O -ATP synthase crosstalk is a fundamental property of mitochondrial cristaePreprint
Cadena, L. R., Gahura, O., Panicucci, B., Zı́ková, A., & Hashimi, H. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.04.01.438160
“Protein preparation and Mass Spectroscopy 420 Triplicate eluates of co-IP proteins were processed for mass spectroscopy analysis as 421 described elsewhere (57, 58).”
MethodDiving into cellular signalling
Leijten, N. M. (2021) · Utrecht University Repository (Utrecht University) · doi:10.33540/622
Gao, A. W., Alam, G. E., Lalou, A., Li, T. Y., Molenaars, M., Zhu, Y., Overmyer, K. A., Shishkova, E., Hof, K., Sleiman, M. S. B., et al. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3917209
Self-citationAdvances and Challenges in Bacterial Phosphoproteomics
Prust, N. (2022) · Utrecht University Repository (Utrecht University) · doi:10.33540/878
High‐Performance Liquid Chromatography–Mass Spectrometry in Peptide and Protein Analysis
Shen, T. (2021) · Wiley eBooks · doi:10.1002/9780470027318.a1618.pub4
Kumar, A. (2019) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.735304940.793558138
Hermann, J. (2022) · Research Publications (Maastricht University) · doi:10.26481/dis.20220425jh
“Mass spectrometry analysis detects biological protein processing steps such as post-translational modifications [10-13].”
Background
Metadata
- Authors
- Hebert, A. S., Richards, A. L., Bailey, D. J., Ulbrich, A., Coughlin, E. E., Westphall, M. S., & Coon, J. J.
- Affiliations
- University of Wisconsin–Madison (US)
- Corresponding author
- Coon, Joshua J.
- Venue
- Molecular & Cellular Proteomics
- Publisher
- Elsevier BV
- Published
- 2014-01
- Volume
- 13
- Issue
- 1
- Pages
- 339-347
- ISSN
- 1535-9476 (ISSN-L)
- PMC
- PMC3879625
- OpenAlex
- W1991502938
- Cited by
- 528
- References
- 48
- Citations by year
- 2026: 9 · 2025: 13 · 2024: 18 · 2023: 26 · 2022: 23 · 2021: 47 · 2020: 40 · 2019: 49 · 2018: 44 · 2017: 55 · 2016: 77 · 2015: 60 · 2014: 64
- FWCI
- 30.34
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Molecular & Cellular Proteomics (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Human Genome Research Institute (T32HG002760)
- National Institute of General Medical Sciences (R01GM080148)
- 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
- yeast proteome, peptide identification, sample preparation optimization, chromatographic separation, human proteome
- MeSH terms
- Amino Acid Sequence, Humans, Molecular Weight, Peptides, Saccharomyces cerevisiae, Proteome, Tandem Mass Spectrometry
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