Method of the Year 2012

Multi-laboratory assessment of reproducibility, qualitative and quantitative performance of SWATH-mass spectrometry

Collins, B. C., Hunter, C. L., Liu, Y., Schilling, B., Rosenberger, G., Bader, S. L., Chan, D. W., Gibson, B. W., Gingras, A.-C., Held, J. M., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-00249-5 · Cited by 576 · see citing works

Western Blots versus Selected Reaction Monitoring Assays: Time to Turn the Tables?

Aebersold, R. H., Burlingame, A. L., & Bradshaw, R. A. (2013) · Molecular & Cellular Proteomics · doi:10.1074/mcp.e113.031658 · Cited by 288 · see citing works

Advances in targeted proteomics and applications to biomedical research

Shi, T., Song, E., Nie, S., Rodland, K., Liu, T., Qian, W., & Smith, R. D. (2016) · PROTEOMICS · doi:10.1002/pmic.201500449 · Cited by 259 · see citing works

Mass spectrometry based biomarker discovery, verification, and validation — Quality assurance and control of protein biomarker assays

Parker, C. E., & Borchers, C. H. (2014) · Molecular Oncology · doi:10.1016/j.molonc.2014.03.006 · Cited by 238 · see citing works

Demonstrating the feasibility of large-scale development of standardized assays to quantify human proteins

Kennedy, J. J., Abbatiello, S. E., Kim, K., Yan, P., Whiteaker, J. R., Lin, C., Kim, J. S., Zhang, Y., Wang, X., Ivey, R. G., et al. (2014) · Nature Methods · doi:10.1038/nmeth.2763 · Cited by 184 · see citing works

Targeted and Untargeted Proteomics Approaches in Biomarker Development

Sobsey, C. A., Ibrahim, S., Richard, V. R., Gaspar, V. P., Mitsa, G., Lacasse, V., Zahedi, R. P., Batist, G., & Borchers, C. H. (2019) · PROTEOMICS · doi:10.1002/pmic.201900029 · Cited by 174 · see citing works

Clinical applications of quantitative proteomics using targeted and untargeted data-independent acquisition techniques

Meyer, J. G., & Schilling, B. (2017) · Expert Review of Proteomics · doi:10.1080/14789450.2017.1322904 · Cited by 151 · see citing works

Guidelines for the design, analysis and interpretation of ‘omics’ data: focus on human endometrium

Altmäe, S., Esteban, F. J., Stavreus-Evers, A., Simón, C., Giudice, L., Lessey, B. A., Horcajadas, J. A., Macklon, N. S., D'Hooghe, T., Campoy, C., et al. (2014) · Human Reproduction Update · doi:10.1093/humupd/dmt048 · Cited by 151 · see citing works

Advancing Urinary Protein Biomarker Discovery by Data-Independent Acquisition on a Quadrupole-Orbitrap Mass Spectrometer

Muntel, J., Xuan, Y., Berger, S. T., Reiter, L., Bachur, R. G., Kentsis, A., & Steen, H. (2015) · Journal of Proteome Research · doi:10.1021/acs.jproteome.5b00826 · Cited by 134 · see citing works

Establishing a mass spectrometry-based system for rapid detection of SARS-CoV-2 in large clinical sample cohorts

Cardozo, K. H. M., Lebkuchen, A., Okai, G. G., Schuch, R. A., Viana, L. G., Olivé, A. N., Lázari, C. D. S., Fraga, A., Granato, C. F. H., Pintão, M. C. T., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-19925-0 · Cited by 135 · see citing works

What Can Proteomics Tell Us About Platelets?

Burkhart, J. M., Gambaryan, S. P., Watson, S. P., Jurk, K., Walter, U., Sickmann, A., Heemskerk, J. W. M., & Zahedi, R. P. (2014) · Circulation Research · doi:10.1161/circresaha.114.301598 · Cited by 122 · see citing works

Confetti: 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 103 · see citing works

Optimizing expression quantitative trait locus mapping workflows for single-cell studies

Cuomo, A. S. E., Alvari, G., Azodi, C. B. D., McCarthy, D. J., & Bonder, M. J. (2021) · Genome biology · doi:10.1186/s13059-021-02407-x · Cited by 71 · see citing works

Alzheimer’s disease progression characterized by alterations in the molecular profiles and biogenesis of brain extracellular vesicles

Gallart‐Palau, X., Guo, X., Serra, A., & Sze, S. K. (2020) · Alzheimer s Research & Therapy · doi:10.1186/s13195-020-00623-4 · Cited by 72 · see citing works

Applications and Developments in Targeted Proteomics: From SRM to DIA/SWATH

Aebersold, R. H., Bensimon, A., Collins, B. C., Ludwig, C., & Sabidó, E. (2016) · PROTEOMICS · doi:10.1002/pmic.201600203 · Cited by 71 · see citing works

Matrix-Matched Calibration Curves for Assessing Analytical Figures of Merit in Quantitative Proteomics

Pino, L. K., Searle, B. C., Yang, H.-Y., Hoofnagle, A. N., Noble, W. S., & MacCoss, M. J. (2020) · Journal of Proteome Research · doi:10.1021/acs.jproteome.9b00666 · Cited by 69 · see citing works

Advances in Fasciola hepatica research using ‘omics’ technologies

Cwiklinski, K., & Dalton, J. P. (2018) · International Journal for Parasitology · doi:10.1016/j.ijpara.2017.12.001 · Cited by 61 · see citing works

Advances in Proteomic Technologies and Its Contribution to the Field of Cancer

Mesri, M. (2014) · Advances in Medicine · doi:10.1155/2014/238045 · Cited by 58 · see citing works

Ethylene Receptors, CTRs and EIN2 Target Protein Identification and Quantification Through Parallel Reaction Monitoring During Tomato Fruit Ripening

Mata, C. I., Fabre, B., Parsons, H. T., Hertog, M., Raemdonck, G. V., Baggerman, G., de Poel, B. V., Lilley, K. S., & Nicolaï, B. M. (2018) · Frontiers in Plant Science · doi:10.3389/fpls.2018.01626 · Cited by 55 · see citing works

Mass spectrometry-based proteomic quest for diabetes biomarkers

Shao, S., Guo, T., & Aebersold, R. H. (2014) · Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics · doi:10.1016/j.bbapap.2014.12.012 · Cited by 54 · see citing works

Direct Quantification of Cytochromes P450 and Drug Transporters—A Rapid, Targeted Mass Spectrometry-Based Immunoassay Panel for Tissues and Cell Culture Lysates

Weiß, F., Hammer, H., Klein, K., Planatscher, H., Zanger, U. M., Norén, A., Wegler, C., Artursson, P., Joos, T. O., & Poetz, O. (2018) · Drug Metabolism and Disposition · doi:10.1124/dmd.117.078626 · Cited by 49 · see citing works

Development of a Multiplexed Liquid Chromatography Multiple-Reaction-Monitoring Mass Spectrometry (LC-MRM/MS) Method for Evaluation of Salivary Proteins as Oral Cancer Biomarkers

Chen, Y., Chen, H., Wu, C., Chu, L. J., Chiang, W.-F., Wu, C., Yu, J., Tsai, C.-H., Liang, K., Chang, Y., et al. (2017) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m116.064758 · Cited by 47 · see citing works

Immunocapture strategies in translational proteomics

Fredolini, C., Byström, S., Pin, E., Edfors, F., Tamburro, D., Iglesias, M. J., Månberg, A., Hong, M., Uhlén, M., Nilsson, P., et al. (2015) · Expert Review of Proteomics · doi:10.1586/14789450.2016.1111141 · Cited by 45 · see citing works

The Promises of Quantitative Proteomics in Precision Medicine

Prasad, B., Vrana, M., Mehrotra, A., Johnson, K., & Bhatt, D. K. (2016) · Journal of Pharmaceutical Sciences · doi:10.1016/j.xphs.2016.11.017 · Cited by 45 · see citing works

Quantification of microRNA by DNA–Peptide Probe and Liquid Chromatography–Tandem Mass Spectrometry-Based Quasi-Targeted Proteomics

Xu, F., Yang, T., & Chen, Y. (2015) · Analytical Chemistry · doi:10.1021/acs.analchem.5b03056 · Cited by 44 · see citing works

Neurodegenerative Disease Proteinopathies Are Connected to Distinct Histone Post-translational Modification Landscapes

Chen, K., Bennett, S. A., Rana, N., Yousuf, H., Said, M., Taaseen, S., Mendo, N., Meltser, S. M., & Torrente, M. P. (2017) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.7b00297 · Cited by 44 · see citing works

Quantifying apolipoprotein(a) in the era of proteoforms and precision medicine

Ruhaak, L. R., & Cobbaert, C. M. (2020) · Clinica Chimica Acta · doi:10.1016/j.cca.2020.10.010 · Cited by 41 · see citing works

Quantitation with chemical tagging reagents in biomarker studies

Westbrook, J. A., Noirel, J., Brown, J. E., Wright, P. C., & Evans, C. A. (2014) · PROTEOMICS - CLINICAL APPLICATIONS · doi:10.1002/prca.201400120 · Cited by 40 · see citing works

Survival proteomes: the emerging proteotype of antimicrobial resistance

Park, A. J., Krieger, J. R., & Khursigara, C. M. (2016) · FEMS Microbiology Reviews · doi:10.1093/femsre/fuv051 · Cited by 37 · see citing works

LC-MS/MS Isomeric Profiling of N-Glycans Derived from Low-Abundant Serum Glycoproteins in Mild Cognitive Impairment Patients

Reyes, C. D. G., Hakim, M. A., Atashi, M., Goli, M., Gautam, S., Wang, J., Bennett, A. I., Zhu, J., Lubman, D. M., & Mechref, Y. S. (2022) · Biomolecules · doi:10.3390/biom12111657 · Cited by 34 · see citing works

An investigation of heat shock protein 27 and P-glycoprotein mediated multi-drug resistance in breast cancer using liquid chromatography-tandem mass spectrometry-based targeted proteomics

Xu, F., Yang, T., Fang, D., Xu, Q., & Chen, Y. (2014) · Journal of Proteomics · doi:10.1016/j.jprot.2014.05.016 · Cited by 34 · see citing works

Quantitative assessment of human serum transferrin receptor in breast cancer patients pre- and post-chemotherapy using peptide immunoaffinity enrichment coupled with targeted proteomics

Xu, Q., Zhu, M., Yang, T., Xu, F., Liu, Y., & Chen, Y. (2015) · Clinica Chimica Acta · doi:10.1016/j.cca.2015.05.022 · Cited by 33 · see citing works

Data-Independent Acquisition and Parallel Reaction Monitoring Mass Spectrometry Identification of Serum Biomarkers for Ovarian Cancer

Rauniyar, N., Peng, G., Lam, T. T., Zhao, H., Mor, G., & Williams, K. R. (2017) · Biomarker Insights · doi:10.1177/1177271917710948 · Cited by 32 · see citing works

Mass spectrometry in clinical glycomics: The path from biomarker identification to clinical implementation

de Haan, N., Wuhrer, M., & Ruhaak, L. (2020) · Clinical Mass Spectrometry · doi:10.1016/j.clinms.2020.08.001 · Cited by 30 · see citing works

Multiple Reaction Monitoring-Based Targeted Assays for the Validation of Protein Biomarkers in Brain Tumors

Ghantasala, S., Pai, M. G. J., Biswas, D., Gahoi, N., Mukherjee, S., Manubhai, K. P., Nissa, M. U., Srivastava, A., Epari, S., Shetty, P. M., et al. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2021.548243 · Cited by 30 · see citing works

A unified classification approach rating clinical utility of protein biomarkers across neurologic diseases

Bernhardt, A. M., Tiedt, S., Teupser, D., Dichgans, M., Meyer, B., Gempt, J., Kuhn, P., Simons, M., Palleis, C., Weidinger, E., et al. (2023) · EBioMedicine · doi:10.1016/j.ebiom.2023.104456 · Cited by 32 · see citing works

mzDB: A File Format Using Multiple Indexing Strategies for the Efficient Analysis of Large LC-MS/MS and SWATH-MS Data Sets *

Bouyssié, D., Dubois, M., Nasso, S., de Peredo, A. G., Burlet‐Schiltz, O., Aebersold, R. H., & Monsarrat, B. (2014) · Molecular & Cellular Proteomics · doi:10.1074/mcp.o114.039115 · Cited by 30 · see citing works

A Combination of DNA-peptide Probes and Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS): A Quasi-Targeted Proteomics Approach for Multiplexed MicroRNA Quantification

Xu, F., Zhou, W., Cao, J., Xu, Q., Jiang, D., & Chen, Y. (2017) · Theranostics · doi:10.7150/thno.19113 · Cited by 31 · see citing works

Evaluation of Serum Glycoprotein Biomarker Candidates for Detection of Esophageal Adenocarcinoma and Surveillance of Barrett's Esophagus

Shah, A. K., Härtel, G., Brown, I., Winterford, C. M., Na, R., Cao, K. L., Spicer, B. A., Dunstone, M. A., Phillips, W. A., Lord, R. V., et al. (2018) · Molecular & Cellular Proteomics · doi:10.1074/mcp.ra118.000734 · Cited by 29 · see citing works

Indirect protein quantification of drug-transforming enzymes using peptide group-specific immunoaffinity enrichment and mass spectrometry

Weiß, F., Schnabel, A., Planatscher, H., van den Berg, B. H. J., Serschnitzki, B., Nussler, A. K., Thasler, W. E., Weiß, T. S., Reuß, M., Stoll, D., et al. (2015) · Scientific Reports · doi:10.1038/srep08759 · Cited by 27 · see citing works

Astrocyte Heterogeneity in Multiple Sclerosis: Current Understanding and Technical Challenges

Lo, C. H., Škarica, M., Mansoor, M., Bhandarkar, S., Toro, S., & Pitt, D. (2021) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2021.726479 · Cited by 27 · see citing works

Volumetric absorptive MicroSampling vs. other blood sampling materials in LC–MS-based protein analysis – preliminary investigations

Andersen, I. K. L., Rosting, C., Gjelstad, A., & Halvorsen, T. G. (2018) · Journal of Pharmaceutical and Biomedical Analysis · doi:10.1016/j.jpba.2018.04.036 · Cited by 27 · see citing works

Abundance-based Classifier for the Prediction of Mass Spectrometric Peptide Detectability Upon Enrichment (PPA)

Muntel, J., Boswell, S. A., Tang, S., Ahmed, S., Wapinski, I., Foley, G., Steen, H., & Springer, M. (2014) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m114.044321 · Cited by 26 · see citing works

COPD Exacerbation Biomarkers Validated Using Multiple Reaction Monitoring Mass Spectrometry

Leung, J. M., Chen, V., Hollander, Z., Dai, D. L., Tebbutt, S. J., Aaron, S. D., Vandemheen, K. L., Rennard, S. I., FitzGerald, J. M., Woodruff, P. G., et al. (2016) · PLoS ONE · doi:10.1371/journal.pone.0161129 · Cited by 26 · see citing works

Multiplexed targeted proteomic assay to assess coagulation factor concentrations and thrombosis-associated cancer

Mohammed, Y., van Vlijmen, B. J. M., Yang, J., Percy, A. J., Palmblad, M., Borchers, C. H., & Rosendaal, F. R. (2017) · Blood Advances · doi:10.1182/bloodadvances.2017007955 · Cited by 26 · see citing works

Water-Soluble Dried Blood Spot in Protein Analysis: A Proof-of-Concept Study

Rosting, C., Gjelstad, A., & Halvorsen, T. G. (2015) · Analytical Chemistry · doi:10.1021/acs.analchem.5b01735 · Cited by 25 · see citing works

Targeted proteomics driven verification of biomarker candidates associated with breast cancer aggressiveness

Procházková, I., Lenčo, J., Fucikova, A. M., Dresler, J., Čápková, L., Hrstka, R., Nenutil, R., & Bouchal, P. (2017) · Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics · doi:10.1016/j.bbapap.2017.02.012 · Cited by 24 · see citing works

A brain proteomic investigation of rapamycin effects in the Tsc1 +/− mouse model

Wesseling, H., Elgersma, Y., & Bahn, S. (2017) · Molecular Autism · doi:10.1186/s13229-017-0151-y · Cited by 24 · see citing works

Advances in endometrial cancer protein biomarkers for use in the clinic

Martínez-García, E., López-Gil, C., Campoy, I., Vallvé-Juanico, J., la Rubia, E. C.-D., Cabrera, S., y Cajal, S. R., Matías‐Guiu, X., van Oostrum, J., Reventós, J., et al. (2017) · Expert Review of Proteomics · doi:10.1080/14789450.2018.1410061 · Cited by 25 · see citing works

Development of a highly automated and multiplexed targeted proteome pipeline and assay for 112 rat brain synaptic proteins

Colangelo, C. M., Ivosev, G., Chung, L. M., Abbott, T. B., Shifman, M. A., Sakaue, F., Cox, D., Kitchen, R. R., Burton, L., Tate, S. A., et al. (2014) · PROTEOMICS · doi:10.1002/pmic.201400353 · Cited by 19 · see citing works

Hybrid Quadrupole Mass Filter–Radial Ejection Linear Ion Trap and Intelligent Data Acquisition Enable Highly Multiplex Targeted Proteomics

Remes, P. M., Jacob, C. C., Heil, L. R., Shulman, N., MacLean, B., & MacCoss, M. J. (2024) · Journal of Proteome Research · doi:10.1021/acs.jproteome.4c00599 · Cited by 19 · see citing works

Laser capture microdissection–targeted mass spectrometry: a method for multiplexed protein quantification within individual layers of the cerebral cortex

MacDonald, M. L., Favo, D., Garver, M. E., Sun, Z., Arion, D., Ding, Y., Yates, N. A., Sweet, R. A., & Lewis, D. A. (2018) · Neuropsychopharmacology · doi:10.1038/s41386-018-0260-0 · Cited by 19 · see citing works

Proteomic studies of bone and skeletal health outcomes

Nielson, C. M., Jacobs, J., & ORWOLL, E. S. (2019) · Bone · doi:10.1016/j.bone.2019.03.032 · Cited by 19 · see citing works

A SISCAPA-based approach for detection of SARS-CoV-2 viral antigens from clinical samples

Mangalaparthi, K. K., Chavan, S., Madugundu, A. K., Renuse, S., Vanderboom, P. M., Maus, A. D., Kemp, J. V., Kipp, B. R., Grebe, S. K., Singh, R., et al. (2021) · Clinical Proteomics · doi:10.1186/s12014-021-09331-z · Cited by 18 · see citing works

A liquid chromatography–tandem mass spectrometry-based targeted proteomics assay for monitoring P-glycoprotein levels in human breast tissue

Yang, T., Chen, F., Xu, F., Wang, F., Xu, Q., & Chen, Y. (2014) · Clinica Chimica Acta · doi:10.1016/j.cca.2014.06.013 · Cited by 17 · see citing works

A liquid chromatography‐tandem mass spectrometry‐based targeted proteomics approach for the assessment of transferrin receptor levels in breast cancer

Yang, T., Xu, F., Zhao, Y., Wang, S., Yang, M., & Chen, Y. (2014) · PROTEOMICS - CLINICAL APPLICATIONS · doi:10.1002/prca.201300109 · Cited by 17 · see citing works

Mass Spectrometry-Based Protein Quantification

Chen, Y., Wang, F., Xu, F., & Yang, T. (2016) · Advances in experimental medicine and biology · doi:10.1007/978-3-319-41448-5_15 · Cited by 17 · see citing works

Development of biomarkers of genitourinary cancer using mass spectrometry-based clinical proteomics

Chen, Y., Tsai, C.-H., Chen, C., Yu, J., & Chang, Y. (2018) · Journal of Food and Drug Analysis · doi:10.1016/j.jfda.2018.09.005 · Cited by 17 · see citing works

Quantification of cytokines secreted by primary human cells using multiple reaction monitoring: evaluation of analytical parameters

Muqaku, B., Slany, A., Bileck, A., Kreutz, D., & Gerner, C. (2015) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-015-8817-9 · Cited by 16 · see citing works

Data-independent-acquisition mass spectrometry for identification of targeted-peptide site-specific modifications

Porter, C. J., & Bereman, M. S. (2015) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-015-8819-7 · Cited by 16 · see citing works

DISMS2: A flexible algorithm for direct proteome- wide distance calculation of LC-MS/MS runs

Rieder, V., Blank‐Landeshammer, B., Stuhr, M., Schell, T., Biß, K., Kollipara, L., Meyer, A., Markus, P., Westphal, H., Sickmann, A., et al. (2017) · BMC Bioinformatics · doi:10.1186/s12859-017-1514-2 · Cited by 16 · see citing works

Predicting Preterm Birth Using Proteomics

Marić, I., Stevenson, D. K., Aghaeepour, N., Gaudilliere, B. L., Wong, R. J., & Angst, M. S. (2024) · Clinics in Perinatology · doi:10.1016/j.clp.2024.02.011 · Cited by 15 · see citing works

Localization and Quantification of Post-Translational Modifications of Proteins Using Electron Activated Dissociation Fragmentation on a Fast-Acquisition Time-of-Flight Mass Spectrometer

Bons, J., Hunter, C. L., Chupalov, R., Causon, J., Antonoplis, A., Rose, J., MacLean, B., & Schilling, B. (2023) · Journal of the American Society for Mass Spectrometry · doi:10.1021/jasms.3c00144 · Cited by 13 · see citing works

Integrating Omics Technologies to Study Pulmonary Physiology and Pathology at the Systems Level

Pathak, R. R., & Davé, V. (2014) · Cellular Physiology and Biochemistry · doi:10.1159/000358693 · Cited by 14 · see citing works

An extra dimension in protein tagging by quantifying universal proteotypic peptides using targeted proteomics

Vandemoortele, G., Staes, A., Gonnelli, G., Samyn, N., Sutter, D. D., Vandermarliere, E., Timmerman, E., Gevaert, K., Martens, L., & Eyckerman, S. (2016) · Scientific Reports · doi:10.1038/srep27220 · Cited by 14 · see citing works

specL—an R/Bioconductor package to prepare peptide spectrum matches for use in targeted proteomics

Panse, C., Trachsel, C., Grossmann, J., & Schlapbach, R. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv105 · Cited by 13 · see citing works

Plasma/Serum Proteomics based on Mass Spectrometry

Zhu, Y. (2024) · Protein and Peptide Letters · doi:10.2174/0109298665286952240212053723 · Cited by 12 · see citing works

Myelin proteomics: the past, the unexpected and the future

Panfoli, I., Bruschi, M., Santucci, L., Calzia, D., Ravera, S., Petretto, A., & Candiano, G. (2014) · Expert Review of Proteomics · doi:10.1586/14789450.2014.900444 · Cited by 12 · see citing works

Targeted Quantification of Protein Phosphorylation and Its Contributions towards Mathematical Modeling of Signaling Pathways

Dakup, P., Feng, S., Shi, T., Jacobs, J., Wiley, H. S., & Qian, W. (2023) · Molecules · doi:10.3390/molecules28031143 · Cited by 11 · see citing works

Mass Spectrometry of Human Transporters

Achour, B., Al‐Majdoub, Z. M., Rostami‐Hodjegan, A., & Barber, J. (2020) · Annual Review of Analytical Chemistry · doi:10.1146/annurev-anchem-091719-024553 · Cited by 10 · see citing works

Qualitative and Quantitative Proteomics Methods for the Analysis of the Anopheles gambiae Mosquito Proteome

Champion, M. M., Sheppard, A. D., Rund, S. S. C., Freed, S. A., O'Tousa, J., & Duffield, G. E. (2016) · Entomology in focus · doi:10.1007/978-3-319-24244-6_2 · Cited by 8 · see citing works

Proteomics-Based Retinal Target Engagement Analysis and Retina-Targeted Delivery of 17β-Estradiol by the DHED Prodrug for Ocular Neurotherapy in Males

Prókai-Tátrai, K., Zaman, K., Nguyen, V., Cruz, D. L. D. L., & Prókai, L. (2021) · Pharmaceutics · doi:10.3390/pharmaceutics13091392 · Cited by 8 · see citing works

Challenges and Opportunities in State‐of‐the‐Art Proteomics Analysis for Biomarker Development From Plasma Extracellular Vesicles

Dakup, P., Ludovico, I. D., You, Y., Rao, C., Flores, J. E., Bramer, L., Rewers, M., Webb‐Robertson, B., Metz, T., Mirmira, R. G., et al. (2025) · PROTEOMICS · doi:10.1002/pmic.70036 · Cited by 8 · see citing works

Proteotyping of knockout mouse strains reveals sex- and strain-specific signatures in blood plasma

Mohammed, Y., Michaud, S. A., Pětrošová, H., Yang, J., Ganguly, M., Schibli, D. J., Flenniken, A. M., Nutter, L. M. J., Adissu, H. A., Lloyd, K. C. K., et al. (2021) · npj Systems Biology and Applications · doi:10.1038/s41540-021-00184-8 · Cited by 6 · see citing works

Red-Fleshed Apples Rich in Anthocyanins and White-Fleshed Apples Modulate the Aorta and Heart Proteome in Hypercholesterolaemic Rats: The AppleCOR Study

Catalán, Ú., Pedret, A., Yuste, S., Rubió, L., Piñol, C., Sandoval-Ramírez, B. A., Companys, J., Foguet, E., Herrero, P., Canela-Canela, N., et al. (2022) · Nutrients · doi:10.3390/nu14051047 · Cited by 7 · see citing works

Ariadne’s Thread: A Robust Software Solution Leading to Automated Absolute and Relative Quantification of SRM Data

Nasso, S., Götze, S., & Martens, L. (2015) · Journal of Proteome Research · doi:10.1021/pr500996s · Cited by 6 · see citing works

Emerging Proteomic Technologies Provide Enormous and Underutilized Potential for Brain Cancer Research

Tian, Q., Sangar, V., & Price, N. D. (2015) · Molecular & Cellular Proteomics · doi:10.1074/mcp.r115.053884 · Cited by 5 · see citing works

Plasma Biomarker Screening Based on Proteomic Signature of Patients with Resistant Hypertension

Du, J., Yu, X., Zhang, W., Zhang, X., Zhao, H., Xu, R., & Wen, Q. (2024) · Journal of Cardiovascular Translational Research · doi:10.1007/s12265-024-10541-7 · Cited by 4 · see citing works

scEM: A New Ensemble Framework for Predicting Cell Type Composition Based on scRNA-Seq Data

Cai, X., Zhang, W., Zheng, X., Xu, Y., & Li, Y. (2024) · Interdisciplinary Sciences Computational Life Sciences · doi:10.1007/s12539-023-00601-y · Cited by 4 · see citing works

Quantifying Landscape and Flux from Single-Cell Omics: Unraveling the Physical Mechanisms of Cell Function

Zhu, L., & Wang, J. (2025) · JACS Au · doi:10.1021/jacsau.5c00620 · Cited by 5 · see citing works

Combinatorial Assembly of Multigene Pathways by Combining Single-Strand Assembly with Golden Gate Assembly

Bauwens, D., Coussement, P., Maertens, J., & Mey, M. D. (2019) · Methods in molecular biology · doi:10.1007/978-1-4939-9142-6_8 · Cited by 4 · see citing works

Phosphoproteomic Analysis and Protein–Protein Interaction of Rat Aorta GJA1 and Rat Heart FKBP1A after Secoiridoid Consumption from Virgin Olive Oil: A Functional Proteomic Approach

Pedret, A., Catalán, Ú., Rubió, L., Baiges, I., Herrero, P., Piñol, C., Rodríguez‐Calvo, R., Canela-Canela, N., Fernández‐Castillejo, S., Motilva, M., et al. (2021) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.0c07164 · Cited by 4 · see citing works

MRM as a discovery tool?

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