Whole CMV proteome pattern recognition analysis after HSCT identifies unique epitope targets associated with the CMV status

15Citations
Citations of this article
33Readers
Mendeley users who have this article in their library.

Abstract

Cytomegalovirus (CMV) infection represents a vital complication after Hematopoietic Stem Cell Transplantation (HSCT). We screened the entire CMV proteome to visualize the humoral target epitope-focus profile in serum after HSCT. IgG profiling from four patient groups (donor and/or recipient +/2 for CMV) was performed at 6, 12 and 24 months after HSCT using microarray slides containing 17174 of 15mer-peptides overlapping by 4 aa covering 214 proteins from CMV. Data were analyzed using maSigPro, PAM and the 'exclusive recognition analysis (ERA)' to identify unique CMV epitope responses for each patient group. The 'exclusive recognition analysis' of serum epitope patterns segregated best 12 months after HSCT for the D+/R+ group (versus D2/R2). Epitopes were derived from UL123 (IE1), UL99 (pp28), UL32 (pp150), this changed at 24 months to 2 strongly recognized peptides provided from UL123 and UL100. Strongly (IgG) recognized CMV targets elicited also robust cytokine production in T-cells from patients after HSCT defined by intracellular cytokine staining (IL-2, TNF, IFN and IL-17). High-content peptide microarrays allow epitope profiling of entire viral proteomes; this approach can be useful to map relevant targets for diagnostics and therapy in patients with well defined clinical endpoints. Peptide microarray analysis visualizes the breadth of B-cell immune reconstitution after HSCT and provides a useful tool to gauge immune reconstitution. © 2014 Pérez-Bercoff et al.

Cite

CITATION STYLE

APA

Pérez-Bercoff, L., Valentini, D., Gaseitsiwe, S., Mahdavifar, S., Schutkowski, M., Poiret, T., … Maeurer, M. J. (2014). Whole CMV proteome pattern recognition analysis after HSCT identifies unique epitope targets associated with the CMV status. PLoS ONE, 9(4). https://doi.org/10.1371/journal.pone.0089648

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free