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Protein Arrays for the Identification of Seroreactive Protein Markers for Infectious Diseases

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Protein Microarrays for Disease Analysis

Abstract

The protein array is a powerful platform to study humoral responses to infectious agents using small sample volumes [<3 μL]. Its success can be largely attributed to the development of new strategies for high-throughput cloning and expression, and improved manufacturing techniques for the construction of arrays. Here, we describe a method to hybridize protein arrays with malaria patients’ sera in order to identify seroreactive antigens, some of which may have a high potential of conferring protection from severe forms of malaria.

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Acknowledgments

Authors would like to acknowledge MHRD-UAY [Uchhatar AvishkarYojana] project #UAY2017/19/IITB_001 to S.S. for proteomics work and microarray support at IIT Bombay. A.V. was supported by the CSIR fellowship, India. Microarray chips were supported by the US NIAID MESA-ICEMR Program Project U19 AI089688 to P.K.R. of the University of Washington, Seattle, WA, USA. We would like to thank all the study participants at the Goa Medical College and Hospital and Dr. Sachin Shinde, Special Secretary of Health in the Government of Goa and Administrator of GMC, for his support. Rashmi Das and Anjali Mascharenhas from MESA ICEMR at Goa Medical College and Hospital managed sample distribution. John White and Laura Chery from the Department of Chemistry and Department of Global Health, University of Washington, Seattle, provided scientific and operations oversight.

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Correspondence to Sanjeeva Srivastava .

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Venkatesh, A. et al. (2021). Protein Arrays for the Identification of Seroreactive Protein Markers for Infectious Diseases. 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_10

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  • DOI: https://doi.org/10.1007/978-1-0716-1562-1_10

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-1561-4

  • Online ISBN: 978-1-0716-1562-1

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