Abstract
Protein microarrays are a diverse and high-throughput platform for screening biomolecular interactions, autoantigens, and protein expression profiles across tissues, etc. Autoantibodies produced against aberrant protein expression are often observed in malignancies which makes protein microarrays a powerful platform to elucidate biomarkers of translational interest. Early diagnosis of malignancies is an enduring clinical problem that has a direct impact on disease prognosis. Here, we provide an overview of a method employed to screen autoantibodies using patient sera in brain tumors. In case of brain malignancies, early diagnosis is particularly challenging and often requires highly invasive brain biopsies as a confirmatory test. This chapter summarizes the various considerations for applying a serum-based autoantibody biomarker discovery pipeline that could provide a minimally invasive initial diagnostic screen, potentiating classical diagnostic approaches.
Shabarni Gupta and Arghya Banerjee are co-first authors.
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References
Neal RD, Tharmanathan P, France B et al (2015) Is increased time to diagnosis and treatment in symptomatic cancer associated with poorer outcomes? Systematic review. Br J Cancer 112:S92–S107
(2018) Early detection: a long road ahead. Nat Rev Cancer 18:401
Sahm F, Schrimpf D, Jones DTW et al (2016) Next-generation sequencing in routine brain tumor diagnostics enables an integrated diagnosis and identifies actionable targets. Acta Neuropathol 131:903–910. https://doi.org/10.1007/s00401-015-1519-8
Gupta S, Ray S, Talukdar A et al (2016) Geographic pervasiveness of cancer: prospects of novel biomarker and therapeutic research in developing countries using OMICS approaches. In: Biomarker discovery in the developing world: dissecting the pipeline for meeting the challenges. Springer, India, pp 9–17
Delves PPJ (2015) Overview of the immune system - immune disorders - MSD manual consumer version. In: MSD Manuals. https://www.msdmanuals.com/home/immune-disorders/biology-of-the-immune-system/overview-of-the-immune-system. Accessed 15 Oct 2020
Gonzalez S, González-Rodríguez AP, Suárez-Álvarez B et al (2011) Conceptual aspects of self and nonself discrimination. Self Nonself 2:19–25
Zaenker P, Gray ES, Ziman MR (2016) Autoantibody production in cancer-the humoral immune response toward autologous antigens in cancer patients. Autoimmun Rev 15:477–483
Gupta S, Srivastava S (2019) Prospects of translational proteomics and protein microarrays in oligodendroglioma. In: Oligodendroglioma: clinical presentation, pathology, molecular biology, imaging, and treatment. Elsevier, Amsterdam, pp 117–127
Liotta LA, Espina V, Mehta AI et al (2003) Protein microarrays: meeting analytical challenges for clinical applications. Cancer Cell 3:317–325. https://doi.org/10.1016/S1535-6108(03)00086-2
Hall DA, Ptacek J, Snyder M (2007) Protein microarray technology. Mech Ageing Dev 128:161–167. https://doi.org/10.1016/j.mad.2006.11.021
Hu S, Xie Z, Qian J et al (2011) Functional protein microarray technology. Wiley Interdiscip Rev Syst Biol Med 3:255–268. https://doi.org/10.1002/wsbm.118
Bertone P, Snyder M (2005) Advances in functional protein microarray technology. FEBS J 272:5400–5411
Sauer U (2017) Analytical protein microarrays: advancements towards clinical applications. Sensors (Switzerland) 17(2):256
VanMeter A, Signore M, Pierobon M et al (2007) Reverse-phase protein microarrays: application to biomarker discovery and translational medicine. Expert Rev Mol Diagn 7:625–633
Pjaweletz CP, Charboneau L, Bichsel VE et al (2001) Reverse phase protein microarrays which capture disease progression show activation of pro-survival pathways at the cancer invasion front. Oncogene 20:1981–1989. https://doi.org/10.1038/sj.onc.1204265
Mueller C, Liotta LA, Espina V (2010) Reverse phase protein microarrays advance to use in clinical trials. Mol Oncol 4:461–481. https://doi.org/10.1016/j.molonc.2010.09.003
Louis DN, Perry A, Reifenberger G et al (2016) The 2016 World Health Organization classification of tumors of the central nervous system: a summary. Acta Neuropathol 131:803–820
Takeshita Y, Ransohoff RM (2015) Blood-brain barrier and neurological diseases. Clin Exp Neuroimmunol 6:351–361
Shimizu F, Nishihara H, Kanda T (2018) Blood–brain barrier dysfunction in immuno-mediated neurological diseases. Immunol Med 41:120–128
Platt MP, Agalliu D, Cutforth T (2017) Hello from the other side: how autoantibodies circumvent the blood-brain barrier in autoimmune encephalitis. Front Immunol 8:442
Mader S, Brimberg L, Diamond B (2017) The role of brain-reactive autoantibodies in brain pathology and cognitive impairment. Front Immunol 8:1101
Roche S, Dauvilliers Y, Tiers L et al (2008) Autoantibody profiling on high-density protein microarrays for biomarker discovery in the cerebrospinal fluid. J Immunol Methods 338:75–78. https://doi.org/10.1016/j.jim.2008.07.002
Gupta S, Manubhai KP, Kulkarni V, Srivastava S (2016) An overview of innovations and industrial solutions in protein microarray technology. Proteomics 16:1297–1308
Syed P, Gupta S, Choudhary S et al (2015) Autoantibody profiling of glioma serum samples to identify biomarkers using human proteome arrays. Sci Rep 5. https://doi.org/10.1038/srep13895
Hu S, Xie Z, Onishi A et al (2009) Profiling the human protein-DNA interactome reveals ERK2 as a transcriptional repressor of interferon signaling. Cell 139:610–622
Zhu H, Bilgin M, Bangham R et al (2001) Global analysis of protein activities using proteome chips. Science 293:2101–2105. https://doi.org/10.1126/science.1062191
Burbelo PD, Gordon SM, Waldman M et al (2019) Autoantibodies are present before the clinical diagnosis of systemic sclerosis. PLoS One 14. https://doi.org/10.1371/journal.pone.0214202
Ayoglu B, Schwenk JM, Nilsson P (2016) Antigen arrays for profiling autoantibody repertoires. Bioanalysis 8:1105–1126
Duarte JG, Blackburn JM (2017) Advances in the development of human protein microarrays. Expert Rev Proteomics 14:627–641
Atak A, Mukherjee S, Jain R et al (2016) Protein microarray applications: autoantibody detection and posttranslational modification. Proteomics 16:2557–2569
Da Syu G, Dunn J, Zhu H (2020) Developments and applications of functional protein microarrays. Mol Cell Proteomics 19:916–927
Neagu M, Bostan M, Constantin C (2019) Protein microarray technology: assisting personalized medicine in oncology (review). World Acad Sci J 1:113–124. https://doi.org/10.3892/wasj.2019.15
Acknowledgments
The study was funded through MHRD-UAY Project (UCHHATAR AVISHKAR YOJANA; UAY-(MHRD)); project #34_IITB (2016) to S.S.; MASSFIIT (Mass Spectrometry Facility, IIT Bombay; BT/PR13114/INF/22/206/2015) for MS-based proteomics work; DBT, India; and CSIR, India (awarded to A.B.).
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Gupta, S., Banerjee, A., Syed, P., Srivastava, S. (2021). Profiling Autoantibody Responses to Devise Novel Diagnostic and Prognostic Markers Using High-Density Protein Microarrays. In: Barderas, R., LaBaer, J., Srivastava, S. (eds) Protein Microarrays for Disease Analysis. Methods in Molecular Biology, vol 2344. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-1562-1_14
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DOI: https://doi.org/10.1007/978-1-0716-1562-1_14
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