Synthetic self-assembling ADDomer platform for highly efficient vaccination by genetically encoded multiepitope display

Charles Vragniau; Joshua C. Bufton; Frédéric Garzoni; Emilie Stermann; Fruzsina Rabi; Céline Terrat; Mélanie Guidetti; Véronique Josserand; Matt Williams; Christopher J. Woods; Gerardo Viedma; Phil Bates; Bernard Verrier; Laurence Chaperot; Christiane Schaffitzel; Imre Berger; Pascal Fender

doi:10.1126/sciadv.aaw2853

Synthetic self-assembling ADDomer platform for highly efficient vaccination by genetically encoded multiepitope display

Charles Vragniau
, Joshua C. Bufton
, Frédéric Garzoni
, Emilie Stermann
, Fruzsina Rabi
, Céline Terrat
, Mélanie Guidetti
, Véronique Josserand
, Matt Williams
, Christopher J. Woods
, Gerardo Viedma
, Phil Bates
, Bernard Verrier
, Laurence Chaperot
, Christiane Schaffitzel
, Imre Berger
, Pascal Fender^*

^*Corresponding author for this work

Research output: Contribution to journal › Article (Academic Journal) › peer-review

36 Citations (Scopus)

312 Downloads (Pure)

Abstract

Self-assembling virus-like particles represent highly attractive tools for developing next-generation vaccines and protein therapeutics. We created ADDomer, an adenovirus-derived multimeric protein-based self-assembling nanoparticle scaffold engineered to facilitate plug-and-play display of multiple immunogenic epitopes from pathogens. We used cryo–electron microscopy at near-atomic resolution and implemented novel, cost-effective, high-performance cloud computing to reveal architectural features in unprecedented detail. We analyzed ADDomer interaction with components of the immune system and developed a promising first-in-kind ADDomer-based vaccine candidate to combat emerging Chikungunya infectious disease, exemplifying the potential of our approach.

Original language	English
Article number	eaaw2853
Number of pages	9
Journal	Science Advances
Volume	5
Issue number	9
DOIs	https://doi.org/10.1126/sciadv.aaw2853
Publication status	Published - 25 Sept 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Research Groups and Themes

Bristol BioDesign Institute
BrisSynBio

Keywords

synthetic biology
SYNTHETIC BIOLOGY
advanced computing
minimal biology
Biodesign
Vaccine

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10.1126/sciadv.aaw2853

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Final published version, 758 KBLicence: CC BY

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Vragniau, C., Bufton, J. C., Garzoni, F., Stermann, E., Rabi, F., Terrat, C., Guidetti, M., Josserand, V., Williams, M., Woods, C. J., Viedma, G., Bates, P., Verrier, B., Chaperot, L., Schaffitzel, C., Berger, I., & Fender, P. (2019). Synthetic self-assembling ADDomer platform for highly efficient vaccination by genetically encoded multiepitope display. Science Advances, 5(9), Article eaaw2853. https://doi.org/10.1126/sciadv.aaw2853

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title = "Synthetic self-assembling ADDomer platform for highly efficient vaccination by genetically encoded multiepitope display",

abstract = "Self-assembling virus-like particles represent highly attractive tools for developing next-generation vaccines and protein therapeutics. We created ADDomer, an adenovirus-derived multimeric protein-based self-assembling nanoparticle scaffold engineered to facilitate plug-and-play display of multiple immunogenic epitopes from pathogens. We used cryo–electron microscopy at near-atomic resolution and implemented novel, cost-effective, high-performance cloud computing to reveal architectural features in unprecedented detail. We analyzed ADDomer interaction with components of the immune system and developed a promising first-in-kind ADDomer-based vaccine candidate to combat emerging Chikungunya infectious disease, exemplifying the potential of our approach.",

keywords = "synthetic biology, SYNTHETIC BIOLOGY, advanced computing, minimal biology, Biodesign, Vaccine",

author = "Charles Vragniau and Bufton, \{Joshua C.\} and Fr{\'e}d{\'e}ric Garzoni and Emilie Stermann and Fruzsina Rabi and C{\'e}line Terrat and M{\'e}lanie Guidetti and V{\'e}ronique Josserand and Matt Williams and Woods, \{Christopher J.\} and Gerardo Viedma and Phil Bates and Bernard Verrier and Laurence Chaperot and Christiane Schaffitzel and Imre Berger and Pascal Fender",

year = "2019",

month = sep,

day = "25",

doi = "10.1126/sciadv.aaw2853",

language = "English",

volume = "5",

journal = "Science Advances",

issn = "2375-2548",

publisher = "American Association for the Advancement of Science",

number = "9",

}

Vragniau, C, Bufton, JC, Garzoni, F, Stermann, E, Rabi, F, Terrat, C, Guidetti, M, Josserand, V, Williams, M, Woods, CJ, Viedma, G, Bates, P, Verrier, B, Chaperot, L, Schaffitzel, C , Berger, I & Fender, P 2019, 'Synthetic self-assembling ADDomer platform for highly efficient vaccination by genetically encoded multiepitope display', Science Advances, vol. 5, no. 9, eaaw2853. https://doi.org/10.1126/sciadv.aaw2853

TY - JOUR

T1 - Synthetic self-assembling ADDomer platform for highly efficient vaccination by genetically encoded multiepitope display

AU - Vragniau, Charles

AU - Bufton, Joshua C.

AU - Garzoni, Frédéric

AU - Stermann, Emilie

AU - Rabi, Fruzsina

AU - Terrat, Céline

AU - Guidetti, Mélanie

AU - Josserand, Véronique

AU - Williams, Matt

AU - Woods, Christopher J.

AU - Viedma, Gerardo

AU - Bates, Phil

AU - Verrier, Bernard

AU - Chaperot, Laurence

AU - Schaffitzel, Christiane

AU - Berger, Imre

AU - Fender, Pascal

PY - 2019/9/25

Y1 - 2019/9/25

N2 - Self-assembling virus-like particles represent highly attractive tools for developing next-generation vaccines and protein therapeutics. We created ADDomer, an adenovirus-derived multimeric protein-based self-assembling nanoparticle scaffold engineered to facilitate plug-and-play display of multiple immunogenic epitopes from pathogens. We used cryo–electron microscopy at near-atomic resolution and implemented novel, cost-effective, high-performance cloud computing to reveal architectural features in unprecedented detail. We analyzed ADDomer interaction with components of the immune system and developed a promising first-in-kind ADDomer-based vaccine candidate to combat emerging Chikungunya infectious disease, exemplifying the potential of our approach.

AB - Self-assembling virus-like particles represent highly attractive tools for developing next-generation vaccines and protein therapeutics. We created ADDomer, an adenovirus-derived multimeric protein-based self-assembling nanoparticle scaffold engineered to facilitate plug-and-play display of multiple immunogenic epitopes from pathogens. We used cryo–electron microscopy at near-atomic resolution and implemented novel, cost-effective, high-performance cloud computing to reveal architectural features in unprecedented detail. We analyzed ADDomer interaction with components of the immune system and developed a promising first-in-kind ADDomer-based vaccine candidate to combat emerging Chikungunya infectious disease, exemplifying the potential of our approach.

KW - synthetic biology

KW - SYNTHETIC BIOLOGY

KW - advanced computing

KW - minimal biology

KW - Biodesign

KW - Vaccine

UR - https://www.scopus.com/pages/publications/85072647810

U2 - 10.1126/sciadv.aaw2853

DO - 10.1126/sciadv.aaw2853

M3 - Article (Academic Journal)

C2 - 31620562

AN - SCOPUS:85072647810

SN - 2375-2548

VL - 5

JO - Science Advances

JF - Science Advances

IS - 9

M1 - eaaw2853

ER -

Synthetic self-assembling ADDomer platform for highly efficient vaccination by genetically encoded multiepitope display

Abstract

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Research Groups and Themes

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Embargoed Document

Fingerprint

Membrane protein insertion and quality control by the bacterial holo-translocon and FtsH chaperone/protease complex

BrisSynBio: Bristol Centre for Synthetic Biology

Cite this

Synthetic self-assembling ADDomer platform for highly efficient vaccination by genetically encoded multiepitope display

Abstract

UN SDGs

Research Groups and Themes

Keywords

Access to Document

Handle.net

Other files and links

Embargoed Document

Fingerprint

Projects

Membrane protein insertion and quality control by the bacterial holo-translocon and FtsH chaperone/protease complex

BrisSynBio: Bristol Centre for Synthetic Biology

Cite this