The DOI matches its Crossref record; 105 of the 106 references it cites were found in a registry or an index.
A Review on Quantitative Multiplexed Proteomics
Open accessAbstract
Over the last few decades, mass spectrometry‐based proteomics has become an increasingly powerful tool that is now able to routinely detect and quantify thousands of proteins. A major advance for global protein quantification was the introduction of isobaric tags, which, in a single experiment, enabled the global quantification of proteins across multiple samples. Herein, these methods are referred to as multiplexed proteomics. The principles, advantages, and drawbacks of various multiplexed proteomics techniques are discussed and compared with alternative approaches. We also discuss how the emerging combination of multiplexing with targeted proteomics might enable the reliable and high‐quality quantification of very low abundance proteins across multiple conditions. Lastly, we suggest that fusing multiplexed proteomics with data‐independent acquisition approaches might enable the comparison of hundreds of different samples without missing values, while maintaining the superb measurement precision and accuracy obtainable with isobaric tag quantification.
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
“Major developments in mass spectrometry-based, antibody-based and aptamer-based proteomics over the past decade have enabled the robust quantification of thousands of proteins in single samples87–90.”
From Measuring biological age using omics data (2022) · cites this paper as [87]
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
Electrospray Ionization for Mass Spectrometry of Large Biomolecules
Fenn, J. B., Mann, M., Meng, C. K., Wong, S. F., & Whitehouse, C. M. (1989) · Science · doi:10.1126/science.2675315 · Cited by 7,634
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
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
Andromeda: A Peptide Search Engine Integrated into the MaxQuant Environment
Cox, J., Neuhauser, N., Michalski, A., Scheltema, R. A., Olsen, J. V., & Mann, M. (2011) · Journal of Proteome Research · doi:10.1021/pr101065j · Cited by 5,503
Cox, J., Hein, M. Y., Luber, C. A., Paron, I., Nagaraj, N., & Mann, M. (2014) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m113.031591 · Cited by 5,180
A statistical model for identifying proteins by tandem mass spectrometry.
Nesvizhskii, A., Keller, A., Kolker, E., & Aebersold, R. (2003) · Analytical Chemistry · doi:10.1021/ac0341261 · Cited by 4,902
Quantitative analysis of complex protein mixtures using isotope-coded affinity tags
Gygi, S. P., Rist, B., Gerber, S. A., Turecek, F., Gelb, M. H., & Aebersold, R. (1999) · Nature Biotechnology · doi:10.1038/13690 · Cited by 4,683
Ross, P. L., Huang, Y. N., Marchese, J. N., Williamson, B., Parker, K., Hattan, S., Khainovski, N., Pillai, S., Dey, S., Daniels, S., et al. (2004) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m400129-mcp200 · Cited by 4,401
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
Roepstorff, P., & Fohlman, J. (1984) · Journal of Mass Spectrometry · doi:10.1002/bms.1200111109 · Cited by 2,705
Flagged first, then by citations
1 of the 106 references couldn’t be matched to a known paper.
Research works printed but not linked: 4
- Gundry R. L., 2009, Curr. Protoc. Mol. Biol., 10, 1025
- Tolonen A. C., 2014, J. Vis. Exp., 89, 51416
- Yan W., 2011, Mol. Cell. Proteomics, 10, 110
- L. Peshkin L. Ryazanova M. Wühr bioRxiv2019 DOI:https://dx.doi.org/10.1101/210476. · DOI
Cited by
Sorted by citations
Items 201–299 of 299
He, W., Mu, Q., Li, L., Sun, X., Fan, X., Yang, F., Liu, M., & Zhou, B. (2023) · Microorganisms · doi:10.3390/microorganisms11030601 · Cited by 3
Ye, J., Yan, X., Zhang, W., Lu, J., Xu, S., Li, X., Qin, P., Gong, X., Liu, Y., Ling, Y., et al. (2023) · BMC Genomics · doi:10.1186/s12864-023-09705-7 · Cited by 3
Using Comparative Proteomics to Identify Protein Signatures in Clear Cell Renal Cell Carcinoma
Park, J., LEE, E. H., Sim, H., Na, A., Choi, S. Y., Chung, J.-W., Ha, Y., Kwon, T. G., Lee, S., & Lee, J. N. (2023) · Cancer Genomics & Proteomics · doi:10.21873/cgp.20408 · Cited by 3
Elkenani, M., Barallobre‐Barreiro, J., Schnelle, M., Mohamed, B. A., Beuthner, B. E., Jacob, C. F., Paul, N. B., Yin, X., Theofilatos, K., Fischer, A., et al. (2024) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2024.1398114 · Cited by 3
Cold Storage Disrupts the Proteome and Phosphoproteome Landscape in Rat Kidney Transplants
Sharma, A., Jun, S., Bhattarai, D., Panday, S., Venugopal, G., Panawan, O., Washam, C. L., Mackintosh, S. G., Byrum, S. D., Udaondo, Z., et al. (2024) · Transplantation · doi:10.1097/tp.0000000000005310 · Cited by 3
Biological Aging and Venous Thromboembolism: A Review of Telomeres and Beyond
Vostatek, R., & Ay, C. (2024) · Biomedicines · doi:10.3390/biomedicines13010015 · Cited by 5
Cui, X., Li, L., Li, M., Ying, W., Cheng, J., Lin, L., Mi, W., & Hu, Z. (2025) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-025-05786-3 · Cited by 3
Vaisar, T., & Ronsein, G. E. (2025) · Expert Review of Proteomics · doi:10.1080/14789450.2025.2534397 · Cited by 3
Subcellular mass spectrometric detection unveils hyperglycemic memory in the diabetic heart
Zhan, J., Zhou, Y., Chen, Y., Jin, K., Chen, Z., Chen, C., Li, H.-Y., & Wang, D. W. (2024) · Journal of Diabetes · doi:10.1111/1753-0407.70033 · Cited by 3
Mass spectrometric approaches for profiling protein folding and stability
Genereux, J. C. (2019) · Advances in protein chemistry and structural biology · doi:10.1016/bs.apcsb.2019.09.006 · Cited by 3
Tandem Mass Tag-Based Phosphoproteomics in Plants
Vélez‐Bermúdez, I. C., Jain, D., Ravindran, A., Chen, C.-W., Hsu, C., & Schmidt, W. (2022) · Methods in molecular biology · doi:10.1007/978-1-0716-2784-6_22 · Cited by 3
Gupta, R., Schrooders, Y., Verheijen, M. C. T., Roth, A. B., Kleinjans, J. C. S., & Caiment, F. (2020) · Bioinformatics · doi:10.1093/bioinformatics/btaa735 · Cited by 3
Reisman, E. G., Botella, J., Huang, C., Schittenhelm, R. B., Stroud, D. A., Granata, C., Chandrasiri, S., Ramm, G., Oorschot, V. M. J., Caruana, N. J., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.10.23.512956 · Cited by 3
Infrared Laser Ablation and Capture of Biological Tissue
Egbejiogu, B. C., Donnarumma, F., Dong, C., & Murray, K. K. (2024) · Methods in molecular biology · doi:10.1007/978-1-0716-3934-4_2 · Cited by 2
Integration of proteomics profiling data to facilitate discovery of cancer neoantigens: a survey
Luo, S., Peng, H., Shi, Y., Cai, J., Zhang, S., Shao, N., & Li, J. (2025) · Briefings in Bioinformatics · doi:10.1093/bib/bbaf087 · Cited by 3
Bramhall, D., Zhong, J., Zhao, Y., Sook Yen, E., Huang, M. B., Qiu, H., & Li, N. (2025) · Analytical Chemistry · doi:10.1021/acs.analchem.5c02553 · Cited by 2
Missing Value Monitoring to Address Missing Values in Quantitative Proteomics
Matafora, V., & Bachi, A. (2021) · Methods in molecular biology · doi:10.1007/978-1-0716-1024-4_27 · Cited by 2
Protein State‐Dependent Chemical Biology
Scott, K. A., Zhang, T. L., Xi, S. Y., Ngo, B., & Vinogradova, E. V. (2023) · Israel Journal of Chemistry · doi:10.1002/ijch.202200101 · Cited by 3
PROSE: phenotype-specific network signatures from individual proteomic samples
Wong, B. J. H., Kong, W., Peng, H., & Goh, W. W. B. (2023) · Briefings in Bioinformatics · doi:10.1093/bib/bbad075 · Cited by 2
Virág, D., Schlosser, G., Borbély, A., Gellén, G., Papp, D., Kaleta, Z., Kiss, B. D., Antal, I., & Ludányi, K. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25094656 · Cited by 2
Lee, C., Liu, Y.-C., & Chen, C. (2024) · Analytica Chimica Acta · doi:10.1016/j.aca.2024.342944 · Cited by 2
Zingale, G. A., Pandino, I., Tuccitto, N., Distefano, A., Calì, F., Calcagno, D., & Grasso, G. (2024) · Methods · doi:10.1016/j.ymeth.2024.07.005 · Cited by 2
Wu, X., Chen, P., Huang, D., Pan, Y., & Chen, S. (2024) · Biomedical Chromatography · doi:10.1002/bmc.5999 · Cited by 2
Multiplexed Data-Independent Acquisition (mDIA) to Profile Extracellular Vesicle Proteomes
Liu, Y., Miller, N., Hadisurya, M., Zhang, Z., & Tao, W. A. (2026) · Molecular & Cellular Proteomics · doi:10.1016/j.mcpro.2026.101507 · Cited by 3
Proteomic and Degradomic Analysis of Body Fluids: Applications, Challenges and Considerations
Kalogeropoulos, K., Bundgaard, L., & Keller, U. A. D. (2020) · Biology of extracellular matrix · doi:10.1007/978-3-030-58330-9_8 · Cited by 2
Insights and Future Perspectives of Covalent Protein Degraders
Zhang, X. (2022) · Wiley eBooks · doi:10.1002/9783527836208.ch8 · Cited by 2
Robust proteome profiling of cysteine-reactive fragments using label-free chemoproteomicsPreprint
Biggs, G. S., Cawood, E. E., Vuorinen, A., McCarthy, W. J., Wilders, H., Riziotis, I. G., van der Zouwen, A. J., Pettinger, J., Nightingale, L., Chen, P., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.07.25.605137 · Cited by 2
Data Independent Acquisition Approaches for Single Cell ProteomicsPreprint
Ghosh, G., Shannon, A. E., & Searle, B. C. (2024) · doi:10.22541/au.172249900.08265221/v1 · Cited by 2
Cruz, E. R., Johnson, A. N. T., Pujari, V. B., Zhang, Q., Nguyen, T., Stadlmeier, M., Wang, J., Jacob, C. C., McAlister, G. C., Remes, P. M., et al. (2025) · Journal of Proteome Research · doi:10.1021/acs.jproteome.5c00356 · Cited by 1
Self-citationNikapitiya, C., Jayathilaka, E. H. T. T., Dias, M. K. H. M., Lee, J., & Zoysa, M. D. (2025) · Fish & Shellfish Immunology · doi:10.1016/j.fsi.2025.110863 · Cited by 1
Pullen, A.-M., Lyons, S. P., Mordant, A. L., Herring, L. E., Akpa, B. S., & Rojas‐Pierce, M. (2026) · Journal of Proteomics · doi:10.1016/j.jprot.2026.105681 · Cited by 1
Zhang, W., Weng, L., Yan, G., Liu, W., Wang, X., Gao, M., & Zhang, X. (2025) · Analytical Chemistry · doi:10.1021/acs.analchem.5c04778 · Cited by 1
Proteomics in Fish Health and Aquaculture
Das, B. K., Kumar, V., & Mandal, B. (2026) · Sustainability Sciences in Asia and Africa · doi:10.1007/978-981-95-2573-7_8 · Cited by 1
Thng, D. K. H., Hooi, L., Yong, W. K., Kappei, D., Toh, T. B., & Chow, E. K. (2026) · Oncogenesis · doi:10.1038/s41389-026-00597-2 · Cited by 1
Modeling Synaptic Maturation From Growth Cone to Synapse in Human Organoids
Øhlenschlæger, M. S., Criscuolo, L., Jensen, P., Sanchez, D. J. L.-D., Sutcliffe, M. A., Bhosale, S., Bogetofte, H., Tahir, M., Jakobsen, L. A., Pihl, M., et al. (2026) · Journal of Neurochemistry · doi:10.1111/jnc.70458 · Cited by 3
Jha, V., Kim, J.-S., Ahmed, M., Italiano, J. E., Razani, B., & Cho, J. (2026) · Cardiovascular Research · doi:10.1093/cvr/cvag123 · Cited by 1
Elucidating the Unknown Role of Cyclin Dependent Kinase 5 in Cardiac Pathophysiological Conditions
Aina-Badejo, D. (2021) · doi:10.7916/d8-j79v-jk33 · Cited by 1
Smith, T. S., Andrejeva, A., Christopher, J. A., Crook, O. M., Elzek, M., & Lilley, K. S. (2022) · ACS Measurement Science Au · doi:10.1021/acsmeasuresciau.1c00053 · Cited by 1
Omics, the New Technological Approaches to the Milk Protein Researches
Guo, Z., Ma, L., & Bu, D. (2022) · IntechOpen eBooks · doi:10.5772/intechopen.102490 · Cited by 1
GwAAP: A genome-wide amino acid coding-decoding quantitative proteomics system
Cheng, L., Yue, X., Qin, Z., Sun, X., He, F., Dai, J., & Ding, C. (2022) · iScience · doi:10.1016/j.isci.2022.105471 · Cited by 1
Bioinformatics Tools and Knowledgebases to Assist Generating Targeted Assays for Plasma Proteomics
Mohammed, Y., Goodlett, D. R., & Borchers, C. H. (2023) · Methods in molecular biology · doi:10.1007/978-1-0716-2978-9_32 · Cited by 1
Statistical and Computational Methods for Proteogenomic Data Analysis
Song, X. (2023) · Methods in molecular biology · doi:10.1007/978-1-0716-2986-4_13 · Cited by 1
Song, J., Zhao, G., Li, H., Yang, Y., Yu, Y., Hu, Y., Li, Y., Li, J., & Hu, Y. (2023) · Archives of Virology · doi:10.1007/s00705-023-05821-7 · Cited by 1
Evolution of techniques and tools for replication fork proteome and protein interaction studies
Jurkovic, C.-M., & Boisvert, F. (2023) · Biochemistry and Cell Biology · doi:10.1139/bcb-2023-0215 · Cited by 1
Mass Spectrometry-Based Proteomics of Poly(methylmethacrylate)-Embedded Bone
Topitsch, A., Halstenbach, T., Rothweiler, R. M., Fretwurst, T., Nelson, K., & Schilling, O. (2024) · Journal of Proteome Research · doi:10.1021/acs.jproteome.4c00046 · Cited by 1
13-Plex DeAla Isobaric Reagents for High-Throughput Proteome Quantification
Liu, P.-K., Gu, T., Xu, S., Nassar, A., Wang, Z., Chiang, H.-Y., Wang, D., & Li, L. (2025) · Analytical Chemistry · doi:10.1021/acs.analchem.5c03910 · Cited by 1
Proteome-scale studies of protein stability
Calloni, G., & Vabulas, R. M. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-819132-3.00004-x · Cited by 1
Proteomics in Nutrition, Obesity and Diabetes Research
Ruiz‐Limón, P., Balongo, M., Insenser, M. R., Tinahones, F. J., & Murri, M. (2020) · Royal Society of Chemistry eBooks · doi:10.1039/9781839160608-00237 · Cited by 1
Quantitative proteomics by mass spectrometry in food science
Chantada‐Vázquez, M. D. P., Núñez, C., & Bravo, S. B. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-90889-4.00006-3 · Cited by 1
Quantitative Mass Spectrometry by SILAC in Haloferax volcanii
Couto-Rodríguez, R. L., Gal, D., McMillan, L. J., Koh, J., Chen, S., & Maupin-furlow, J. A. (2022) · Methods in molecular biology · doi:10.1007/978-1-0716-2445-6_16 · Cited by 1
Approaches and Barriers to Biomarker Discovery
Lee, T., Finney, E. L., Jha, A., Dorste, A., & Lee, R. E., Jr. (2022) · Urologic Clinics of North America · doi:10.1016/j.ucl.2022.09.005 · Cited by 1
Gupta, R. (2021) · Research Publications (Maastricht University) · doi:10.26481/dis.20210304rg · Cited by 1
Levitan, B. B., & Kültz, D. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.06.21.449281 · Cited by 1
Edwards, W., Greco, T. M., Miner, G. E., Barker, N. K., Herring, L. E., Cohen, S., Cristea, I. M., & Conlon, F. L. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.02.21.481309 · Cited by 1
Zhong, J. J., Morin, G. B., & Chen, D. D. Y. (2022) · Wiley eBooks · doi:10.1002/9783527833092.ch3 · Cited by 1
Gauthier, L., Stynen, B., Serohijos, A. W. R., & Michnick, S. W. (2019) · BioEssays · doi:10.1002/bies.201900169
Applications for Mass Spectrometry-based Proteomics and Phosphoproteomics in Precision Medicine
Banerjee, S. L., Dionne, U., Osornio-Hernandez, A. I., & Bisson, N. (2020) · Royal Society of Chemistry eBooks · doi:10.1039/9781788019958-00191
Applications of Prostate Cancer Proteomics: A Review
Moita, B., & Sharma, V. (2021) · doi:10.22186/jyi.39.4.45-53
Jiang, C., Wang, Y.-T., Zhu, X., Feng, W., Yu, W., Sun, L., Sun, Q., Jiang, H., & Fu, X. (2021) · doi:10.21203/rs.3.rs-213072/v1
Chemical approaches for quantitative proteomics
Tian, X. (2021) · University of Groningen research database (University of Groningen / Centre for Information Technology) · doi:10.33612/diss.179003839
Chemical derivatization of peptides for quantitative proteomics
Leitner, A. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-821433-6.00002-7
Multi-omic analysis of the aging mouse brain
Kluever, V. (2021) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-9022
Improvement of analysis throughput for LC/MS assay
Ogawa, S. (2022) · Analytical Sciences · doi:10.1007/s44211-022-00089-4
High‐Performance Liquid Chromatography–Mass Spectrometry in Peptide and Protein Analysis
Shen, T. (2021) · Wiley eBooks · doi:10.1002/9780470027318.a1618.pub4
Genth, J., Kaleja, P., Treitz, C., Schäfer, K., Graspeuntner, S., Rupp, J., & Tholey, A. (2022) · PROTEOMICS · doi:10.1002/pmic.202200189 · Cited by 1
Hermann, J. (2022) · Research Publications (Maastricht University) · doi:10.26481/dis.20220425jh
Multiplexed Quantitative Proteomics Analysis of Developing Human Brain Organoids
Florens, L. A., Saraf, A., Hao, Y., Zhang, Y., Wang, Y., Parmely, T. J., Zhao, C., & Washburn, M. P. (2023) · Neuromethods · doi:10.1007/978-1-0716-2875-1_22
A chemoproteomic platform for reactive fragment profiling against the deubiquitinasesPreprint
Cookson, R., Vuorinen, A., Pettinger, J., Kennedy, C. R., Kirkpatrick, J. M., Heap, R. E., Powell, A. J., Snijders, A. P., Skehel, M. J., House, D., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.02.01.526632
Research Progress of Papilary Thyroid Cancinoma with Lymph Node Metastasis by Proteomics
马, 丽. (2023) · Advances in Clinical Medicine · doi:10.12677/acm.2023.133510
Insights into Human Epileptogenesis with Proteomic ProfilingPreprint
Zhou, N., Yang, D., Zhang, D., Gang, W., Zhang, H., Yuan, Y., Zhang, A., Dai, J., Du, X., Li, W., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.01.01.573812
Liquid chromatography mass spectrometry–based proteomics: Global cell proteome profile
Oliviero, G., Wynne, K. J., & Meleady, P. (2024) · Elsevier eBooks · doi:10.1016/b978-0-323-90395-0.00007-3
Advances in Proteomics Research in Postoperative Delirium
闫, 福. (2024) · Advances in Clinical Medicine · doi:10.12677/acm.2024.143893
Interactome dynamics during heat stress signal transmission and receptionPreprint
Park, S., Keller, A., Kaiser, N. K., & Bruce, J. E. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.04.29.591712
Machine Learning-based Approaches to Integrate Heterogeneous Data for Biological Knowledge Transfer
Park, Y. (2024) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-10534 · Cited by 1
Label-Free Quantitative Proteomics of Oral Microbial Communities
Mohammed, M. M. A., Bruun, J., & Pettersen, V. K. (2024) · Methods in molecular biology · doi:10.1007/978-1-0716-3910-8_14
Model-driven evaluation of microbial physiology: insights from protein allocation
Ferreira, M. A. D. M. (2024) · doi:10.47328/ufvbbt.2024.425
Zhang, S., Blanc, J. C. Y. L., Larsen, B. G., Colwill, K., Burton, L., Guna, M., Gingras, A., & Tate, S. A. (2024) · Analytica Chimica Acta · doi:10.1016/j.aca.2024.343135
Proteome-based investigation of seeds from two Gossypium hirsutum L. genotypes
Yaqub, B., Perveen, A., Sheheryar, S., Moura, A. A., Campos, F., Domont, G. B., Nishan, U., Ullah, R., Ibrahim, M. A., Nogueira, F. C. S., et al. (2025) · South African Journal of Botany · doi:10.1016/j.sajb.2025.03.002
Luo, H., Zheng, Q., Xiao, D., Zhou, Y., & Chen, P. (2025) · International Immunopharmacology · doi:10.1016/j.intimp.2025.115142
Tan, J., Negri, G. L., Morin, G. B., & Chen, D. D. Y. (2025) · Journal of Proteome Research · doi:10.1021/acs.jproteome.4c00992
The tear film protein profile in blepharitis
Muttuvelu, D. V. (2025) · Acta Ophthalmologica · doi:10.1111/aos.16762
Jones, J., MacKrell, E. J., Wang, T.-Y., Lomenick, B., Roukes, M. L., & Chou, T. (2023) · Figshare · doi:10.6084/m9.figshare.23305040
Ye, J., Yan, X., Zhang, W., Lu, J., Xu, S., Li, X., Qin, P., Gong, X., Liu, Y., Ling, Y., et al. (2024) · Figshare · doi:10.6084/m9.figshare.24355117
Fardush, M., Fauzi, N. M., Yan, H. W., Nurdin, A., Jantan, I., Muhammad, N. A. B. N., Hazim, S. N., Mustafa, S. H. B., & Feguro, K. (2025) · Food Bioscience · doi:10.1016/j.fbio.2025.107891
TCEP‐Mediated Protein Hydrolysis: Highly Selective Cleavage C‐Terminal to Aspartic Acid
McCracken, D. S., Foreman, D. J., Esposito, K. G., Stiving, A. Q., Roose, B. W., Miller, D. V., & Hatahet, F. (2026) · Rapid Communications in Mass Spectrometry · doi:10.1002/rcm.70051
Chang, G., Torkamannejad, S., Muraoka, N., Murry, C. E., & Sun, B. (2026) · Journal of Proteome Research · doi:10.1021/acs.jproteome.5c01224
Spectrométrie de masse native et pontage chimique pour l'analyse structurale de complexe protéique
Giorgiutti, C. (2020) · theses.fr (ABES) · doi:10.70675/a5d4eb6fz69fdz4101z9552zed56bd1806b4
Identification of extracellular matrix biomarkers and targets in Dystrophic epidermolysis bullosa
Dussoyer, M. (2022) · theses.fr (ABES) · doi:10.70675/154c0828z26c5z465dz9d51zb8270ed8438d
Lee, J. J., & Kim, Y. N. (2026) · Plant Biotechnology Reports · doi:10.1007/s11816-026-01062-7
InversePep: Diffusion-driven structure-based inverse folding for functional peptides
Chilakamarri, S. K., Kasturi, S. R., Yerrabandla, S. P. R., Gogte, S., & Kondaparthi, V. (2026) · Briefings in Bioinformatics · doi:10.1093/bib/bbag277
Ghosh, M., & Melloy, P. (2026) · Genetics · doi:10.1093/genetics/iyag203
Li, A., Ayon, N. J., & Nemes, P. (2026) · Analytical Chemistry · doi:10.1021/acs.analchem.6c01384
Accurate and Sensitive Multiplexed Proteomics Using the 7-Plex DiLeuC Complementary Ion Strategy
Zhang, J., Wang, Z., Lu, Y., Yao, Y., & Li, L. (2026) · Journal of the American Society for Mass Spectrometry · doi:10.1021/jasms.6c00234
Comparative proteomic quantification reveals novel longevity regulatorsPreprint
Ding, L., Lin, H., Huang, C., Vallanadu, V., Ashley, K., Pitts, S. R., Mutlu, A. S., Zhou, Y., Ma, X., Choi, J. M., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.10.06.757189
Comparative Proteomic Quantification Reveals Novel Longevity Regulators
Ding, L., Lin, H., Huang, C., Vallanadu, V., Ashley, K., Pitts, S. R., Mutlu, A. S., Zhou, Y., Ma, X., Choi, J. M., et al. (2026) · PROTEOMICS · doi:10.1002/pmic.70195
BindingDB (2026) · UC San Diego · doi:10.7270/q2xg9x1v
Quantitative Top‐Down Proteomics: A Review
Cupp‐Sutton, K. A., Atallah, M. A., Zhao, Z., Anjum, S., Chowdhury, T., Sunny, A. T., Szamweber, P., & Wu, S. (2026) · Mass Spectrometry Reviews · doi:10.1002/mas.70051
Metadata
- Authors
- Pappireddi, N., Martin, L., & Wühr, M.
- Affiliations
- Princeton University (US)
- Corresponding author
- Wühr, Martin
- ORCID
- Wühr, Martin
- Venue
- ChemBioChem
- Publisher
- Wiley
- Published
- 2019-04-18
- Volume
- 20
- Issue
- 10
- Pages
- 1210-1224
- ISSN
- 1439-4227 (ISSN-L)
- 1439-7633
- PMC
- PMC6520187
- OpenAlex
- W2908241150
- Cited by
- 299
- References
- 106
- Citations by year
- 2026: 20 · 2025: 32 · 2024: 44 · 2023: 53 · 2022: 56 · 2021: 53 · 2020: 34 · 2019: 6
- FWCI
- 3.84
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- ChemBioChem (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- Funders
- National Institute of General Medical Sciences (1R35GM128813, T32GM007388)
- U.S. Department of Energy (DE-SC0018420, DE-SC0018260)
- 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
- multiplexed proteomics, quantitative proteomics, isobaric tags, targeted proteomics, low-abundance proteins, data-independent acquisition, mass spectrometry
- MeSH terms
- Humans, Isotope Labeling, Proteins, Proteome, Proteomics, 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