EpistemeV1, France, Analysis, bibRecord, 000046

Comparative analysis of virus-host interactomes with a mammalian high- throughput protein complementation assay based on Gaussia princeps luciferase

Identifieur interne : 000046 ( France/Analysis ); précédent : 000045; suivant : 000047

Comparative analysis of virus-host interactomes with a mammalian high- throughput protein complementation assay based on Gaussia princeps luciferase

Auteurs : Grégory Neveu ; Patricia Cassonnet ; Pierre-Olivier Vidalain ; Caroline Rolloy ; José Mendoza ; Louis Jones [France] ; Frédéric Tangy ; Mandy Muller ; Caroline Demeret ; Lionel Tafforeau [France] ; Vincent Lotteau [France] ; Chantal Rabourdin-Combe [France] ; Gilles Travé [France] ; Amélie Dricot [États-Unis] ; David E. Hill [États-Unis] ; Marc Vidal [États-Unis] ; Michel Favre ; Yves Jacob

Source :

Methods (San Diego, Calif.) [ 1046-2023 ] ; 2012.

RBID : PMC:3546263

Abstract

Comparative interactomics is a strategy for inferring potential interactions among orthologous proteins or “iginterologs”. Herein we focus, in contrast to standard homology-based inference, on the divergence of protein interaction profiles among closely related organisms, showing that the approach can correlate specific traits to phenotypic differences. As a model, this new comparative interactomic approach was applied at a large scale to human papillomaviruses (HPVs) proteins. The oncogenic potential of HPVs is mainly determined by the E6 and E7 early proteins. We have mapped and overlapped the virus-host protein interaction networks of E6 and E7 proteins from 11 distinct HPV genotypes, selected for their different tropisms and pathologies. We generated robust and comprehensive datasets by combining two orthogonal protein interation assays: yeast two-hybrid (Y2H), and our recently described “High-Throughput Gaussia princeps Protein Complementation Assay” (HT-GPCA). HT-GPCA detects protein interaction by measuring the interaction-mediated reconstitution of activity of a split Gaussia princeps luciferase. Hierarchical clustering of interaction profiles recapitulated HPV phylogeny and was used to correlate specific virus-host interaction profiles with pathological traits, reflecting the distinct carcinogenic potentials of different HPVs. This comparative interactomics constitutes a reliable and powerful strategy to decipher molecular relationships in virtually any combination of microorganism-host interactions.

Url:

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3546263

DOI: 10.1016/j.ymeth.2012.07.029
PubMed: 22898364
PubMed Central: 3546263

Affiliations:

Links to Exploration step

PMC:3546263

Le document en format XML

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<front><div type="abstract" xml:lang="en"><p id="P2">Comparative interactomics is a strategy for inferring potential interactions among orthologous proteins or “iginterologs”. Herein we focus, in contrast to standard homology-based inference, on the divergence of protein interaction profiles among closely related organisms, showing that the approach can correlate specific traits to phenotypic differences. As a model, this new comparative interactomic approach was applied at a large scale to human papillomaviruses (HPVs) proteins. The oncogenic potential of HPVs is mainly determined by the E6 and E7 early proteins. We have mapped and overlapped the virus-host protein interaction networks of E6 and E7 proteins from 11 distinct HPV genotypes, selected for their different tropisms and pathologies. We generated robust and comprehensive datasets by combining two orthogonal protein interation assays: yeast two-hybrid (Y2H), and our recently described “High-Throughput <italic>Gaussia princeps</italic>
 Protein Complementation Assay” (HT-GPCA). HT-GPCA detects protein interaction by measuring the interaction-mediated reconstitution of activity of a split <italic>Gaussia princeps</italic>
 luciferase. Hierarchical clustering of interaction profiles recapitulated HPV phylogeny and was used to correlate specific virus-host interaction profiles with pathological traits, reflecting the distinct carcinogenic potentials of different HPVs. This comparative interactomics constitutes a reliable and powerful strategy to decipher molecular relationships in virtually any combination of microorganism-host interactions.</p>
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<name sortKey="Jacob, Yves" sort="Jacob, Yves" uniqKey="Jacob Y" first="Yves" last="Jacob">Yves Jacob</name>
<name sortKey="Mendoza, Jose" sort="Mendoza, Jose" uniqKey="Mendoza J" first="José" last="Mendoza">José Mendoza</name>
<name sortKey="Muller, Mandy" sort="Muller, Mandy" uniqKey="Muller M" first="Mandy" last="Muller">Mandy Muller</name>
<name sortKey="Neveu, Gregory" sort="Neveu, Gregory" uniqKey="Neveu G" first="Grégory" last="Neveu">Grégory Neveu</name>
<name sortKey="Rolloy, Caroline" sort="Rolloy, Caroline" uniqKey="Rolloy C" first="Caroline" last="Rolloy">Caroline Rolloy</name>
<name sortKey="Tangy, Frederic" sort="Tangy, Frederic" uniqKey="Tangy F" first="Frédéric" last="Tangy">Frédéric Tangy</name>
<name sortKey="Vidalain, Pierre Olivier" sort="Vidalain, Pierre Olivier" uniqKey="Vidalain P" first="Pierre-Olivier" last="Vidalain">Pierre-Olivier Vidalain</name>
</noCountry>
<country name="France"><region name="Île-de-France"><name sortKey="Jones, Louis" sort="Jones, Louis" uniqKey="Jones L" first="Louis" last="Jones">Louis Jones</name>
</region>
<name sortKey="Lotteau, Vincent" sort="Lotteau, Vincent" uniqKey="Lotteau V" first="Vincent" last="Lotteau">Vincent Lotteau</name>
<name sortKey="Rabourdin Combe, Chantal" sort="Rabourdin Combe, Chantal" uniqKey="Rabourdin Combe C" first="Chantal" last="Rabourdin-Combe">Chantal Rabourdin-Combe</name>
<name sortKey="Tafforeau, Lionel" sort="Tafforeau, Lionel" uniqKey="Tafforeau L" first="Lionel" last="Tafforeau">Lionel Tafforeau</name>
<name sortKey="Trave, Gilles" sort="Trave, Gilles" uniqKey="Trave G" first="Gilles" last="Travé">Gilles Travé</name>
</country>
<country name="États-Unis"><region name="Massachusetts"><name sortKey="Dricot, Amelie" sort="Dricot, Amelie" uniqKey="Dricot A" first="Amélie" last="Dricot">Amélie Dricot</name>
</region>
<name sortKey="Hill, David E" sort="Hill, David E" uniqKey="Hill D" first="David E." last="Hill">David E. Hill</name>
<name sortKey="Vidal, Marc" sort="Vidal, Marc" uniqKey="Vidal M" first="Marc" last="Vidal">Marc Vidal</name>
</country>
</tree>
</affiliations>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/EpistemeV1/Data/France/Analysis

HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000046 | SxmlIndent | more

HfdSelect -h $EXPLOR_AREA/Data/France/Analysis/biblio.hfd -nk 000046 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Ticri/CIDE
   |area=    EpistemeV1
   |flux=    France
   |étape=   Analysis
   |type=    RBID
   |clé=     PMC:3546263
   |texte=   Comparative analysis of virus-host interactomes with a mammalian high- throughput protein complementation assay based on Gaussia princeps luciferase
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/France/Analysis/RBID.i   -Sk "pubmed:22898364" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/France/Analysis/biblio.hfd   \
       | NlmPubMed2Wicri -a EpistemeV1

This area was generated with Dilib version V0.6.31.
Data generation: Wed Nov 1 16:34:12 2017. Site generation: Sun Mar 10 15:11:59 2024

Serveur d'exploration Épistémè

Comparative analysis of virus-host interactomes with a mammalian high- throughput protein complementation assay based on Gaussia princeps luciferase

Comparative analysis of virus-host interactomes with a mammalian high- throughput protein complementation assay based on Gaussia princeps luciferase

Source :

Abstract

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Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri

Pour générer des pages wiki

	Serveur d'exploration Épistémè
	Attention, ce site est en cours de développement ! Attention, site généré par des moyens informatiques à partir de corpus bruts. Les informations ne sont donc pas validées.