CRC; DIA; PASEF; PRM; SIL peptides; biomarker; colorectal cancer; plasma; targeted proteomics; Peptides; Proteome; Blood Proteins; Humans; Mass Spectrometry/methods; Chromatography, Liquid; Proteomics/methods; Peptides/analysis; Mass Spectrometry; Proteomics; Chemistry (all); Biochemistry; General Chemistry
Abstract :
[en] Blood analysis is one of the foundations of clinical diagnostics. In recent years, the analysis of proteins in blood samples by mass spectrometry has taken a jump forward in terms of sensitivity and the number of identified proteins. The recent development of parallel reaction monitoring with parallel accumulation and serial fragmentation (prm-PASEF) combines ion mobility as an additional separation dimension. This increases the proteome coverage while allowing the use of shorter chromatographic gradients. To demonstrate the method's full potential, we used an isotope-labeled synthetic peptide mix of 782 peptides, derived from 579 plasma proteins, spiked into blood plasma samples with a prm-PASEF measurement allowing the quantification of 565 plasma proteins by targeted proteomics. As a less time-consuming alternative to the prm-PASEF method, we describe guided data independent acquisition (dia)-PASEF (g-dia-PASEF) and compare its application to prm-PASEF for measuring blood plasma. To demonstrate both methods' performance in clinical samples, 20 patient plasma samples from a colorectal cancer (CRC) cohort were analyzed. The analysis identified 14 differentially regulated proteins between the CRC patient and control individual plasma samples. This shows the technique's potential for the rapid and unbiased screening of blood proteins, abolishing the need for the preselection of potential biomarker proteins.
Disciplines :
Biochemistry, biophysics & molecular biology
Author, co-author :
Lesur, Antoine; Luxembourg Institute of Health, Strassen L-1445, Luxembourg
Bernardin, François; Luxembourg Institute of Health, Strassen L-1445, Luxembourg
KONCINA, Eric ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Life Sciences and Medicine (DLSM)
LETELLIER, Elisabeth ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Life Sciences and Medicine (DLSM)
Kruppa, Gary; Bruker Daltonics, Billerica, Massachusetts 01821, United States
Schmit, Pierre-Olivier; Bruker Daltonique S.A., Wissembourg F-67160, France
DITTMAR, Gunnar ; Luxembourg Institute of Health, Strassen L-1445, Luxembourg
External co-authors :
yes
Language :
English
Title :
Quantification of 782 Plasma Peptides by Multiplexed Targeted Proteomics.
We thank the Foundation Cancer for the support with grant FC/2022/01 SOCS to E.L. The authors would like to thank Dr. Guy Berchem and Dr. Keipes for their support and the IBBL (Integrated Biobank of Luxembourg) for the overall setup of the sample collection, processing, and provision. We thank Komal Baig for the setup of the meta-analysis. We thank Tony Kaoma and Dr. Petr Nazarov from the LIH bioinformatics platform and Dr. Daniel Perez-Hernandez for the fruitful discussions on the statistical analysis.
Coll-de la Rubia, E.; Martinez-Garcia, E.; Dittmar, G.; Nazarov, P. V.; Bebia, V.; Cabrera, S.; Gil-Moreno, A.; Colás, E. In Silico Approach for Validating and Unveiling New Applications for Prognostic Biomarkers of Endometrial Cancer. Cancers 2021, 13, 5052, 10.3390/cancers13205052
Martinez-Garcia, E.; Lesur, A.; Devis, L.; Cabrera, S.; Matias-Guiu, X.; Hirschfeld, M.; Asberger, J.; van Oostrum, J.; Casares de Cal, M.; de los, Á.; Gómez-Tato, A.; Reventos, J.; Domon, B.; Colas, E.; Gil-Moreno, A. Targeted Proteomics Identifies Proteomic Signatures in Liquid Biopsies of the Endometrium to Diagnose Endometrial Cancer and Assist in the Prediction of the Optimal Surgical Treatment. Clin. Cancer Res. 2017, 23, 6458- 6467, 10.1158/1078-0432.CCR-17-0474
Coll-de la Rubia, E.; Martinez-Garcia, E.; Dittmar, G.; Gil-Moreno, A.; Cabrera, S.; Colas, E. Prognostic Biomarkers in Endometrial Cancer: A Systematic Review and Meta-Analysis. J. Clin. Med. 2020, 9, 1900, 10.3390/jcm9061900
Griffith, O. L.; Chiu, C. G.; Gown, A. M.; Jones, S. J.; Wiseman, S. M. Biomarker Panel Diagnosis of Thyroid Cancer: A Critical Review. Expert Rev. Anticancer Ther. 2008, 8, 1399- 1413, 10.1586/14737140.8.9.1399
Mun, S.; Lee, J.; Park, M.; Shin, J.; Lim, M.-K.; Kang, H.-G. Serum Biomarker Panel for the Diagnosis of Rheumatoid Arthritis. Arthritis Res. Ther. 2021, 23, 31, 10.1186/s13075-020-02405-7
Bhardwaj, M.; Terzer, T.; Schrotz-King, P.; Brenner, H. Comparison of Proteomic Technologies for Blood-Based Detection of Colorectal Cancer. Int. J. Mol. Sci. 2021, 22, 1189, 10.3390/ijms22031189
Surinova, S.; Schiess, R.; Hüttenhain, R.; Cerciello, F.; Wollscheid, B.; Aebersold, R. On the Development of Plasma Protein Biomarkers. J. Proteome Res. 2011, 10, 5- 16, 10.1021/pr1008515
Nakayasu, E. S.; Ansong, C.; Brown, J. N.; Yang, F.; Lopez-Ferrer, D.; Qian, W.-J.; Smith, R. D.; Adkins, J. N. Evaluation of Selected Binding Domains for the Analysis of Ubiquitinated Proteomes. J. Am. Soc. Mass Spectrom. 2013, 24, 1214- 1223, 10.1007/s13361-013-0619-8
Liu, Y.; Hüttenhain, R.; Collins, B.; Aebersold, R. Mass Spectrometric Protein Maps for Biomarker Discovery and Clinical Research. Expert Rev. Mol. Diagn. 2013, 13, 811- 825, 10.1586/14737159.2013.845089
Hüttenhain, R.; Malmström, J.; Picotti, P.; Aebersold, R. Perspectives of Targeted Mass Spectrometry for Protein Biomarker Verification. Curr. Opin. Chem. Biol. 2009, 13, 518- 525, 10.1016/j.cbpa.2009.09.014
Lesur, A.; Schmit, P.-O.; Bernardin, F.; Letellier, E.; Brehmer, S.; Decker, J.; Dittmar, G. Highly Multiplexed Targeted Proteomics Acquisition on a TIMS-QTOF. Anal. Chem. 2021, 93, 1383- 1392, 10.1021/acs.analchem.0c03180
Picotti, P.; Rinner, O.; Stallmach, R.; Dautel, F.; Farrah, T.; Domon, B.; Wenschuh, H.; Aebersold, R. High-Throughput Generation of Selected Reaction-Monitoring Assays for Proteins and Proteomes. Nat. Methods 2010, 7, 43- 46, 10.1038/nmeth.1408
Gallien, S.; Duriez, E.; Crone, C.; Kellmann, M.; Moehring, T.; Domon, B. Targeted Proteomic Quantification on Quadrupole-Orbitrap Mass Spectrometer. Mol. Cell. Proteomics 2012, 11, 1709- 1723, 10.1074/mcp.O112.019802
Kim, Y. J.; Gallien, S.; El-Khoury, V.; Goswami, P.; Sertamo, K.; Schlesser, M.; Berchem, G.; Domon, B. Quantification of SAA1 and SAA2 in Lung Cancer Plasma Using the Isotype-Specific PRM Assays. Proteomics 2015, 15, 3116- 3125, 10.1002/pmic.201400382
Henderson, C. M.; Bollinger, J. G.; Becker, J. O.; Wallace, J. M.; Laha, T. J.; MacCoss, M. J.; Hoofnagle, A. N. Quantification by Nano Liquid Chromatography Parallel Reaction Monitoring Mass Spectrometry of Human Apolipoprotein A-I, Apolipoprotein B, and Hemoglobin A1c in Dried Blood Spots. Proteomics: Clin. Appl. 2017, 11, 1600103 10.1002/prca.201600103
Sinha, A.; Hussain, A.; Ignatchenko, V.; Ignatchenko, A.; Tang, K. H.; Ho, V. W. H.; Neel, B. G.; Clarke, B.; Bernardini, M. Q.; Ailles, L.; Kislinger, T. N-Glycoproteomics of Patient-Derived Xenografts: A Strategy to Discover Tumor-Associated Proteins in High-Grade Serous Ovarian Cancer. Cell Syst. 2019, 8, 345- 351, 10.1016/j.cels.2019.03.011
Meier, F.; Brunner, A.-D.; Frank, M.; Ha, A.; Bludau, I.; Voytik, E.; Kaspar-Schoenefeld, S.; Lubeck, M.; Raether, O.; Bache, N.; Aebersold, R.; Collins, B. C.; Röst, H. L.; Mann, M. DiaPASEF: Parallel Accumulation-Serial Fragmentation Combined with Data-Independent Acquisition. Nat. Methods 2020, 17, 1229- 1236, 10.1038/s41592-020-00998-0
El-Khoury, V.; Schritz, A.; Kim, S.-Y.; Lesur, A.; Sertamo, K.; Bernardin, F.; Petritis, K.; Pirrotte, P.; Selinsky, C.; Whiteaker, J. R.; Zhang, H.; Kennedy, J. J.; Lin, C.; Lee, L. W.; Yan, P.; Tran, N. L.; Inge, L. J.; Chalabi, K.; Decker, G.; Bjerkvig, R.; Paulovich, A. G.; Berchem, G.; Kim, Y. J. Identification of a Blood-Based Protein Biomarker Panel for Lung Cancer Detection. Cancers 2020, 12, 1629, 10.3390/cancers12061629
Pino, L. K.; Searle, B. C.; Bollinger, J. G.; Nunn, B.; MacLean, B.; MacCoss, M. J. The Skyline Ecosystem: Informatics for Quantitative Mass Spectrometry Proteomics. Mass Spectrom. Rev. 2020, 39, 229- 244, 10.1002/mas.21540
Benjamini, Y.; Hochberg, Y. Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing. J. R. Stat. Soc. Ser. B: Methodol. 1995, 57, 289- 300, 10.1111/j.2517-6161.1995.tb02031.x
Reimand, J.; Arak, T.; Adler, P.; Kolberg, L.; Reisberg, S.; Peterson, H.; Vilo, J. G:Profiler─a Web Server for Functional Interpretation of Gene Lists (2016 Update). Nucleic Acids Res. 2016, 44, W83- W89, 10.1093/nar/gkw199
Letellier, E.; Schmitz, M.; Baig, K.; Beaume, N.; Schwartz, C.; Frasquilho, S.; Antunes, L.; Marcon, N.; Nazarov, P. V.; Vallar, L.; Even, J.; Haan, S. Identification of SOCS2 and SOCS6 as Biomarkers in Human Colorectal Cancer. Br. J. Cancer 2014, 111, 726- 735, 10.1038/bjc.2014.377
Lesur, A.; Dittmar, G. The Clinical Potential of Prm-PASEF Mass Spectrometry. Expert Rev. Proteomics 2021, 18, 75- 82, 10.1080/14789450.2021.1908895
Brzhozovskiy, A.; Kononikhin, A.; Bugrova, A. E.; Kovalev, G. I.; Schmit, P.-O.; Kruppa, G.; Nikolaev, E. N.; Borchers, C. H. The Parallel Reaction Monitoring-Parallel Accumulation-Serial Fragmentation (Prm-PASEF) Approach for Multiplexed Absolute Quantitation of Proteins in Human Plasma. Anal. Chem. 2022, 94, 2016- 2022, 10.1021/acs.analchem.1c03782
Letellier, E.; Schmitz, M.; Ginolhac, A.; Rodriguez, F.; Ullmann, P.; Qureshi-Baig, K.; Frasquilho, S.; Antunes, L.; Haan, S. Loss of Myosin Vb in Colorectal Cancer Is a Strong Prognostic Factor for Disease Recurrence. Br. J. Cancer 2017, 117, 1689- 1701, 10.1038/bjc.2017.352
Galon, J.; Bruni, D. Approaches to Treat Immune Hot, Altered and Cold Tumours with Combination Immunotherapies. Nat. Rev. Drug Discovery 2019, 18, 197- 218, 10.1038/s41573-018-0007-y
Giurgiu, M.; Reinhard, J.; Brauner, B.; Dunger-Kaltenbach, I.; Fobo, G.; Frishman, G.; Montrone, C.; Ruepp, A. CORUM: The Comprehensive Resource of Mammalian Protein Complexes─2019. Nucleic Acids Res. 2019, 47, D559- D563, 10.1093/nar/gky973
Kwon, C. H.; Park, H. J.; Choi, J. H.; Lee, J. R.; Kim, H. K.; Jo, H.; Kim, H. S.; Oh, N.; Song, G. A.; Park, D. Y. Snail and SerpinA1 Promote Tumor Progression and Predict Prognosis in Colorectal Cancer. Oncotarget 2015, 6, 20312- 20326, 10.18632/oncotarget.3964
Unger, C.; Kramer, N.; Unterleuthner, D.; Scherzer, M.; Burian, A.; Rudisch, A.; Stadler, M.; Schlederer, M.; Lenhardt, D.; Riedl, A.; Walter, S.; Wernitznig, A.; Kenner, L.; Hengstschläger, M.; Schüler, J.; Sommergruber, W.; Dolznig, H. Stromal-Derived IGF2 Promotes Colon Cancer Progression via Paracrine and Autocrine Mechanisms. Oncogene 2017, 36, 5341- 5355, 10.1038/onc.2017.116
Picault, F.-X.; Chaves-Almagro, C.; Projetti, F.; Prats, H.; Masri, B.; Audigier, Y. Tumour Co-Expression of Apelin and Its Receptor Is the Basis of an Autocrine Loop Involved in the Growth of Colon Adenocarcinomas. Eur. J. Cancer 2014, 50, 663- 674, 10.1016/j.ejca.2013.11.017