@inbook{a443e2fd327941dc895980297746d68d,
title = "Profiling autoantibody responses to devise novel diagnostic and prognostic markers using high-density protein microarrays",
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.",
keywords = "Autoantibody, Biomarker screening, Brain tumors, Diagnosis, Gliomas, Prognosis, Protein microarrays",
author = "Shabarni Gupta and Arghya Banerjee and Parvez Syed and Sanjeeva Srivastava",
year = "2021",
doi = "10.1007/978-1-0716-1562-1_14",
language = "English",
isbn = "9781071615614",
series = "Methods in Molecular Biology",
publisher = "Humana Press Inc.",
pages = "191--208",
editor = "Rodrigo Barderas and Joshua LaBaer and Sanjeeva Srivastava",
booktitle = "Protein microarrays for disease analysis",
}