The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Mass Spectrometry–Based Proteomics and Network Biology
Open accessAbstract
In the life sciences, a new paradigm is emerging that places networks of interacting molecules between genotype and phenotype. These networks are dynamically modulated by a multitude of factors, and the properties emerging from the network as a whole determine observable phenotypes. This paradigm is usually referred to as systems biology, network biology, or integrative biology. Mass spectrometry (MS)–based proteomics is a central life science technology that has realized great progress toward the identification, quantification, and characterization of the proteins that constitute a proteome. Here, we review how MS-based proteomics has been applied to network biology to identify the nodes and edges of biological networks, to detect and quantify perturbation-induced network changes, and to correlate dynamic network rewiring with the cellular phenotype. We discuss future directions for MS-based proteomics within the network biology paradigm.
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
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
Ong, S.-E., Blagoev, B., Kratchmarova, I., Kristensen, D. B., Steen, H., Pandey, A., & Mann, M. (2002) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m200025-mcp200 · Cited by 5,574
ATM and ATR Substrate Analysis Reveals Extensive Protein Networks Responsive to DNA Damage
Matsuoka, S., Ballif, B. A., Smogorzewska, A., McDonald, E. R., Hurov, K. E., Luo, J., Bakalarski, C. E., Zhao, Z., Solimini, N., Lerenthal, Y., et al. (2007) · Science · doi:10.1126/science.1140321 · Cited by 3,075
Gillet, L. C., Navarro, P., Tate, S., Röst, H., Selevsek, N., Reiter, L., Bonner, R., & Aebersold, R. (2012) · Molecular & Cellular Proteomics · doi:10.1074/mcp.o111.016717 · Cited by 2,877
Self-citationA quantitative analysis of kinase inhibitor selectivity
Karaman, M. W., Herrgard, S., Treiber, D. K., Gallant, P., Atteridge, C. E., Campbell, B. T., Chan, K. W., Ciceri, P., Davis, M. I., Edeen, P. T., et al. (2008) · Nature Biotechnology · doi:10.1038/nbt1358 · Cited by 2,466
ChIP–seq: advantages and challenges of a maturing technology
Park, P. J. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2641 · Cited by 2,217
Absolute quantification of proteins and phosphoproteins from cell lysates by tandem MS
Gerber, S. A., Rush, J., Stemman, O., Kirschner, M. W., & Gygi, S. P. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0832254100 · Cited by 1,733
Network organization of the human autophagy system
Behrends, C., Sowa, M. E., Gygi, S. P., & Harper, J. W. (2010) · Nature · doi:10.1038/nature09204 · Cited by 1,554
High-Quality Binary Protein Interaction Map of the Yeast Interactome Network
Yu, H., Braun, P., Yıldırım, M. A., Lemmens, I., Venkatesan, K., Sahalie, J., Hirozane-Kishikawa, T., Gebreab, F., Li, N., Simonis, N., et al. (2008) · Science · doi:10.1126/science.1158684 · Cited by 1,392
Modelling and analysis of gene regulatory networks
Karlebach, G., & Shamir, R. (2008) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2503 · Cited by 1,296
Research works printed but not linked: 130
- 10.1073/pnas.27.11.499 · DOI · Paper page
- 10.1038/nrg2795 · DOI · Paper page
- 10.1007/s13238-010-0065-3 · DOI
- 10.1146/annurev-biochem-061308-093216 · DOI · Paper page
- 10.1016/j.tibtech.2009.11.007 · DOI
- 10.1038/nrg2364 · DOI · Paper page
- 10.1016/j.cell.2009.08.031 · DOI · Paper page
- 10.1126/scisignal.2001350 · DOI
- 10.1016/j.cell.2009.12.018 · DOI · Paper page
- 10.1002/path.2693 · doi:10.1002/path.2693
- 10.1002/humu.21466 · DOI · Paper page
- 10.1016/j.cell.2011.03.008 · DOI
- 10.1093/carcin/bgp261 · DOI · Paper page
- 10.1016/j.cell.2011.03.001 · DOI
- 10.1016/j.cell.2011.02.016 · DOI · Paper page
- 10.1146/annurev-bioeng-061008-124934 · DOI · Paper page
- 10.1038/nbt.1661 · DOI · Paper page
- 10.1038/nmeth1088 · DOI · Paper page
- 10.1038/nbt.1658 · DOI · Paper page
- 10.1002/pmic.200700057 · DOI · Paper page
- 10.1002/pmic.201000553 · DOI · Paper page
- 10.1074/mcp.M800218-MCP200 · DOI
- 10.1016/j.cbpa.2009.08.016 · DOI
- 10.1038/msb.2008.61 · DOI · Paper page
- 10.1002/jms.1895 · DOI · Paper page
- 10.1038/nmeth.1408 · DOI · Paper page
- 10.1002/pmic.200800562 · DOI · Paper page
- 10.1074/mcp.M110.001537 · DOI · Paper page
- 10.1038/nmeth705 · DOI · Paper page
- 10.1021/ac900888s · DOI · Paper page
- 10.1038/nrm2973 · DOI · Paper page
- 10.1038/nbt1300 · DOI · Paper page
- 10.1038/msb.2011.84 · DOI
- 10.1126/science.1175371 · DOI · Paper page
- 10.1016/j.cell.2010.12.001 · DOI · Paper page
- 10.1016/j.cell.2010.04.012 · DOI · Paper page
- 10.1038/msb.2010.122 · DOI
- 10.1126/scisignal.2000475 · DOI · Paper page
- 10.1126/scisignal.2001182 · DOI · Paper page
- 10.1016/j.stem.2009.05.021 · DOI · Paper page
- 10.1038/msb.2011.37 · DOI
- 10.1038/nprot.2008.211 · DOI · Paper page
- 10.1049/iet-syb:20070075 · DOI
- 10.1038/nmeth.1436 · DOI · Paper page
- 10.1016/j.copbio.2008.06.005 · DOI
- 10.1126/science.292.5518.929 · DOI · Paper page
- 10.1073/pnas.0812099106 · DOI
- 10.1016/j.drudis.2009.07.001 · DOI
- 10.1038/nchembio.216 · DOI · Paper page
- 10.1016/j.cell.2010.09.048 · DOI · Paper page
- 10.1038/nrm2208 · DOI · Paper page
- 10.1146/annurev.biochem.76.061005.090816 · DOI · Paper page
- 10.1074/mcp.R000001-MCP201 · DOI · Paper page
- 10.1038/nprot.2007.197 · DOI
- 10.1073/pnas.1332608100 · DOI · Paper page
- 10.1016/j.cell.2011.05.006 · DOI · Paper page
- 10.1074/mcp.M900517-MCP200 · DOI
- 10.1083/jcb.200805092 · DOI · Paper page
- 10.1038/nbt1289 · DOI
- 10.1038/msb.2008.75 · DOI · Paper page
- 10.1073/pnas.0706983105 · DOI · Paper page
- 10.1016/j.cell.2009.04.042 · DOI · Paper page
- 10.1038/nmeth.1541 · DOI · Paper page
- 10.1126/science.1176343 · DOI · Paper page
- 10.1126/science.1176495 · DOI · Paper page
- 10.1016/j.cell.2010.08.020 · DOI · Paper page
- 10.1038/msb.2011.40 · DOI
- 10.1186/1471-2164-11-S3-S10 · DOI
- 10.1038/msb.2010.41 · DOI
- 10.1126/science.1175668 · DOI · Paper page
- 10.1038/nmeth1005 · DOI · Paper page
- 10.1016/j.cbpa.2009.06.022 · DOI · Paper page
- 10.1002/pmic.200800454 · DOI · Paper page
- 10.1002/pmic.200300772 · DOI · Paper page
- 10.1042/BJ20101974 · DOI
- 10.1002/pmic.200900266 · DOI
- 10.1038/nprot.2009.194 · doi:10.1038/nprot.2009.194
- 10.1126/scisignal.2000482 · DOI · Paper page
- 10.1038/nmeth1048 · DOI · Paper page
- 10.1073/pnas.0708966105 · DOI · Paper page
- 10.1074/jbc.M110.205054 · DOI
- 10.1021/ja048659i · DOI
- 10.1093/nar/gkm902 · DOI · Paper page
- 10.1038/nrmicro2419 · DOI · Paper page
- 10.1074/mcp.M900463-MCP200 · DOI
- 10.1146/annurev.cellbio.22.010605.093503 · DOI · Paper page
- 10.1074/mcp.R110.006882 · DOI
- 10.1038/msb.2010.118 · DOI
- 10.1016/j.molcel.2011.08.025 · DOI · Paper page
- 10.1074/mcp.M111.013284 · DOI · Paper page
- 10.1007/978-1-61779-148-2_17 · DOI
- 10.1038/nrc2901 · DOI · Paper page
- 10.1016/j.cell.2008.08.012 · DOI · Paper page
- 10.1038/nbt.1611 · DOI · Paper page
- 10.1038/ncb1994 · DOI · Paper page
- 10.1016/j.molcel.2009.04.023 · DOI
- 10.1016/j.yjmcc.2011.06.003 · DOI
- 10.1038/nmeth.1302 · DOI
- 10.1016/j.cell.2010.11.017 · DOI · Paper page
- 10.1038/nbt.1905 · DOI · Paper page
- 10.1038/msb.2009.80 · DOI · Paper page
- 10.1126/scisignal.2001034 · DOI · Paper page
- 10.1126/science.1199484 · DOI · Paper page
- 10.1016/j.ejcb.2009.11.024 · DOI
- 10.1126/science.1172867 · DOI · Paper page
- 10.1126/scisignal.2000998 · DOI · Paper page
- 10.1126/scisignal.2000007 · DOI · Paper page
- 10.1126/science.1176615 · DOI · Paper page
- 10.1126/scisignal.2000102 · DOI
- 10.1038/nbt.1522 · DOI · Paper page
- 10.1038/msb.2008.2 · DOI
- 10.1016/j.molcel.2009.02.030 · DOI
- 10.1371/journal.pcbi.1000639 · DOI
- 10.1038/msb.2010.36 · DOI
- 10.1016/j.cell.2007.11.025 · DOI · Paper page
- 10.1073/pnas.0602101103 · DOI
- 10.1038/nbt.1566 · DOI
- 10.1038/nbt1328 · DOI · Paper page
- 10.1016/j.chembiol.2010.09.010 · DOI
- 10.1038/nrm2041 · DOI · Paper page
- 10.1126/science.1116598 · DOI · Paper page
- 10.1038/msb.2009.87 · DOI · Paper page
- 10.1039/b926287c · DOI
- 10.1186/1750-2187-3-11 · doi:10.1186/1750-2187-3-11
- 10.1038/msb.2008.53 · DOI · Paper page
- 10.1371/journal.pcbi.1000591 · DOI
- 10.1093/bioinformatics/btq054 · DOI · Paper page
- 10.1186/1471-2105-12-78 · DOI
- 10.1126/scisignal.2001813 · DOI
- 10.1021/pr8010099 · DOI · Paper page
Cited by
A draft map of the human proteome
Kim, M.-S., Pinto, S. M., Getnet, D., Nirujogi, R. S., Manda, S. S., Chaerkady, R., Madugundu, A. K., Kelkar, D. S., Isserlin, R., Jain, S., et al. (2014) · Nature · doi:10.1038/nature13302 · Cited by 2,198
L-Arginine Modulates T Cell Metabolism and Enhances Survival and Anti-tumor Activity
Geiger, R., Rieckmann, J. C., Wolf, T., Basso, C., Feng, Y., Fuhrer, T., Kogadeeva, M., Picotti, P., Meissner, F., Mann, M., et al. (2016) · Cell · doi:10.1016/j.cell.2016.09.031 · Cited by 1,775
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
Tracking cancer drugs in living cells by thermal profiling of the proteome
Savitski, M. M., Reinhard, F. B. M., Franken, H., Werner, T., Savitski, M. F., Eberhard, D., Molina, D. M., Jafari, R., Dovega, R. B., Klaeger, S., et al. (2014) · Science · doi:10.1126/science.1255784 · Cited by 1,187
Redesigning photosynthesis to sustainably meet global food and bioenergy demand
Ort, D. R., Merchant, S. S., Alric, J., Barkan, A., Blankenship, R. E., Bock, R., Croce, R., Hanson, M. R., Hibberd, J. M., Long, S. P., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1424031112 · Cited by 1,020
Metadata
- Authors
- Bensimon, A., Heck, A. J. R., & Aebersold, R.
- Venue
- Annual Review of Biochemistry
- Publisher
- Annual Reviews
- Published
- 2012-07-07
- Volume
- 81
- Issue
- 1
- Pages
- 379-405
- ISSN
- 0066-4154 (ISSN-L)
- 1545-4509
- OpenAlex
- W2152687832
- Cited by
- 410
- References
- 23
- FWCI
- 2.10
- Type
- journal article
- Language
- en
- Open access
- green
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Mass Spectrometry–Based Proteomics and Network Biology. https://app.cochat.ai/papers/10.1146/annurev-biochem-072909-100424
- The paper
- Bensimon, A., Heck, A. J. R., & Aebersold, R. (2012). Mass Spectrometry–Based Proteomics and Network Biology. Annual Review of Biochemistry. https://doi.org/10.1146/annurev-biochem-072909-100424
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.