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. 2020 Dec 29;6(12):e05760.
doi: 10.1016/j.heliyon.2020.e05760. eCollection 2020 Dec.

Exploring rotavirus proteome to identify potential B- and T-cell epitope using computational immunoinformatics

Affiliations

Exploring rotavirus proteome to identify potential B- and T-cell epitope using computational immunoinformatics

Yengkhom Damayanti Devi et al. Heliyon. .

Abstract

Rotavirus is the most common cause of acute gastroenteritis in infants and children worldwide. The functional correlation of B- and T-cells to long-lasting immunity against rotavirus infection in the literature is limited. In this work, a series of computational immuno-informatics approaches were applied and identified 28 linear B-cells, 26 conformational B-cell, 44 TC cell and 40 TH cell binding epitopes for structural and non-structural proteins of rotavirus. Further selection of putative B and T cell epitopes in the multi-epitope vaccine construct was carried out based on immunogenicity, conservancy, allergenicity and the helical content of predicted epitopes. An in-silico vaccine constructs was developed using an N-terminal adjuvant (RGD motif) followed by TC and TH cell epitopes and B-cell epitope with an appropriate linker. Multi-threading models of multi-epitope vaccine construct with B- and T-cell epitopes were generated and molecular dynamics simulation was performed to determine the stability of designed vaccine. Codon optimized multi-epitope vaccine antigens was expressed and affinity purified using the E. coli expression system. Further the T cell epitope presentation assay using the recombinant multi-epitope constructs and the T cell epitope predicted and identified in this study have not been investigated. Multi-epitope vaccine construct encompassing predicted B- and T-cell epitopes may help to generate long-term immune responses against rotavirus. The computational findings reported in this study may provide information in developing epitope-based vaccine and diagnostic assay for rotavirus-led diarrhea in children's.

Keywords: Immune epitope; Non-structural proteins; Rotavirus; Structural proteins.

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Figures

Figure 1
Figure 1
Schematic representation of an in-silico strategy followed for prediction of B- and T-cell epitope using proteome of rotavirus.
Figure 2
Figure 2
Summary of rotavirus protein-derived B- and T-cell epitopes. Heat map showing the distribution of (A) linear (continuous) B-cell epitopes, (B) HLA-class I and (C) II epitopes across the structural and non-structural protein sequences of rotavirus. Strong binding affinity epitopes with <0.5% rank and 2% rank, to HLA class I and class II, respectively, for each HLA molecule are represented here. Red color represents likely antigenic epitopes that were predicted using the methods described in Figure 1.
Figure 3
Figure 3
Schematic diagram of multi-epitope chimeric constructs. The multi-epitope constructs sequence consisting adjuvant followed by T- and B-cell epitope. Adjuvant and CTL epitope has been joined by EAAAK linker, whereas the AAY, KK and GGGGS linkers were used to join the CTL, HTL and linear/conformational B-cell epitopes, respectively. A. Construct 1 (VP6A/B/C), B. Construct 2 (VP6/4/7), C. Construct 3 (VP2/3/4/6/7), D. Construct 4 (NSP2/3/4/5) and E. Construct 5 (VP2/3/4/6/7-NSP2/3/4/5), F. Construct 6 (VP6A/B/C–B), G. Construct 7 (VP4/6/7-B), H. Construct 8 (VP4/A), I. Construct 9 (VP6/A) and J. Construct 10 (VP7/A); (BL- Linear B-cell epitope, BC- Conformational B-cell epitope). A/B/C: VP6 sequence of group A, B and C rotaviruses; A: group A rotavirus; B: B-cell epitopes (Both linear and conformational).
Figure 4
Figure 4
Graphical representation of secondary structure obtained for the multi-epitope constructs using PSIPRED server. A. Construct 1, 52.2% helix, 3.0% sheet and 44.8% coil, B. Construct 2, 10.43% helix, 9.71% sheet and 79.86% coil, C. Construct 6, 28.5% helix, 4.0% sheet and 67.5% coil and D. Construct 7, 19.2% helix, 4.8% sheet and 76.0% coil.
Figure 5
Figure 5
Molecular dynamics simulation study of final multi-epitope constructs representing root mean square deviation. A simulation was carried out for time duration of 20 ns. Representative graphs for construct 1, 2, 6 and 7 are provided.
Figure 6
Figure 6
Tertiary structure modeling and structure validation of multi-epitope constructs. Cyan color represents CTL epitopes, orange represents HTL epitopes, blue represents linear B- cell epitopes and conformational B-cell epitope is highlighted with green. A. Construct 1; B. Construct 2; C. Construct 3; D. Construct 4; E. Construct 5; F. Construct 6; G. Construct 7; H. Construct 8; I. Construct 9; and J. Construct 10.
Figure 7
Figure 7
Surface accessibility of linkers in the final multi-epitope constructs. A. Construct 1; B. Construct 2; C. Construct 3; D. Construct 4; E. Construct 5; F. Construct 6; G. Construct 7; H. Construct 8; I. Construct 9; and J. Construct 10. Blue color represents AAY linker, cyan represents KK linker and GGGGS is represented by red color.
Figure 8
Figure 8
Conformational B-cell epitopes prediction for the final multi-epitope constructs by Ellipro. A. Construct 1, B. Construct 2, C. Construct 3, D. Construct 4, E. Construct 5, F. Construct 6, G. Construct 7, H. Construct 8, I. Construct 9 and J. Construct 10. The epitopes are represented as colored spheres in the final vaccine model where each color represents one epitope.
Figure 9
Figure 9
Structure prediction and validation of final multi-epitope constructs. Ramachandran plot analysis of the simulated structures. Summary of residues in favored, allowed and in outlier part is provided in Table 4.
Figure 10
Figure 10
Docked complex of multi-subunit vaccine constructs with integrin receptor. A. Construct1 interaction with αIIbβ3 B. Construct 1 with αVβ3 C. Construct 2 with αIIbβ3 D. Construct 2 with αVβ3 E. Construct 6 with αIIbβ3 F. Construct 6 with αVβ3 G. Construct 7 with αIIbβ3 H. Construct 7 with αVβ3. Integrin receptor chain A and B has been shown in cyan and silver color, respectively, whereas magenta color represents the multi-epitope vaccine constructs in the docked complex.
Figure 11
Figure 11
Cloning, expression, and affinity purification of four chimeric constructs in E. coli. A) Confirmation of recombinant clones using PCR. Construct 1 (expected gene size 693 bp); Construct 2 (expected gene size 837 bp with 201 bp from vector sequence due to use of T7 forward primer), Construct 6 (expected gene size 603 bp) and Construct 7 (expected gene size 690 bp) were synthesized and cloned into champion pET directional TOPO expression vector (pET100/D-TOPO). C: Negative control without template DNA; M: GeneRuler 1 kb DNA ladder (SM0311, Thermo Scientific). B) SDS-PAGE analysis showing the expression of recombinant chimeric proteins induced with IPTG (200 μM) at 18 °C, 25 °C and 37 °C induction temperature. Construct 1 (expected size 28.9 kDa including tag); Construct 2 (expected size 34 kDa including tag); Construct 6 (expected size 28.9 kDa including tag); Construct 7 (expected size 34 kDa including tag); UI: uninduced E. coli whole cell lysates C) Silver stained-SDS-PAGE gel electrophoresis showing the purity of multi-epitope antigens. Different concentrations of BSA were loaded to determine the approximate concentration of purified proteins estimated using Bradford assay. M: Prestained protein ladder (Cat. 26616, ThermoScientific). See fig. S5 for full, uncropped image.

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