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Simultaneous gene expression profiling in human macrophages infected with Leishmania major parasites using SAGE.

Identifieur interne : 000760 ( PubMed/Checkpoint ); précédent : 000759; suivant : 000761

Simultaneous gene expression profiling in human macrophages infected with Leishmania major parasites using SAGE.

Auteurs : Fatma Z. Guerfali [Tunisie] ; Dhafer Laouini ; Lamia Guizani-Tabbane ; Florence Ottones ; Khadija Ben-Aissa ; Alia Benkahla ; Laurent Manchon ; David Piquemal ; Sondos Smandi ; Ons Mghirbi ; Thérèse Commes ; Jacques Marti ; Koussay Dellagi

Source :

RBID : pubmed:18495030

Descripteurs français

English descriptors

Abstract

BACKGROUND

Leishmania (L) are intracellular protozoan parasites that are able to survive and replicate within the harsh and potentially hostile phagolysosomal environment of mammalian mononuclear phagocytes. A complex interplay then takes place between the macrophage (MPhi) striving to eliminate the pathogen and the parasite struggling for its own survival. To investigate this host-parasite conflict at the transcriptional level, in the context of monocyte-derived human MPhis (MDM) infection by L. major metacyclic promastigotes, the quantitative technique of serial analysis of gene expression (SAGE) was used.

RESULTS

After extracting mRNA from resting human MPhis, Leishmania-infected human MPhis and L. major parasites, three SAGE libraries were constructed and sequenced generating up to 28,173; 57,514 and 33,906 tags respectively (corresponding to 12,946; 23,442 and 9,530 unique tags). Using computational data analysis and direct comparison to 357,888 publicly available experimental human tags, the parasite and the host cell transcriptomes were then simultaneously characterized from the mixed cellular extract, confidently discriminating host from parasite transcripts. This procedure led us to reliably assign 3,814 tags to MPhis' and 3,666 tags to L. major parasites transcripts. We focused on these, showing significant changes in their expression that are likely to be relevant to the pathogenesis of parasite infection: (i) human MPhis genes, belonging to key immune response proteins (e.g., IFNgamma pathway, S100 and chemokine families) and (ii) a group of Leishmania genes showing a preferential expression at the parasite's intra-cellular developing stage.

CONCLUSION

Dual SAGE transcriptome analysis provided a useful, powerful and accurate approach to discriminating genes of human or parasitic origin in Leishmania-infected human MPhis. The findings presented in this work suggest that the Leishmania parasite modulates key transcripts in human MPhis that may be beneficial for its establishment and survival. Furthermore, these results provide an overview of gene expression at two developmental stages of the parasite, namely metacyclic promastigotes and intracellular amastigotes and indicate a broad difference between their transcriptomic profiles. Finally, our reported set of expressed genes will be useful in future rounds of data mining and gene annotation.


DOI: 10.1186/1471-2164-9-238
PubMed: 18495030
PubMed Central: PMC2430024


Affiliations:


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pubmed:18495030

Le document en format XML

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<term>Animals (MeSH)</term>
<term>Apoptosis (genetics)</term>
<term>Base Sequence (MeSH)</term>
<term>Chemokines (genetics)</term>
<term>Extracellular Space (parasitology)</term>
<term>Gene Expression Profiling (methods)</term>
<term>Gene Expression Regulation (MeSH)</term>
<term>Gene Library (MeSH)</term>
<term>Genes, MHC Class I (MeSH)</term>
<term>Genes, MHC Class II (MeSH)</term>
<term>Host-Parasite Interactions (genetics)</term>
<term>Humans (MeSH)</term>
<term>Interferon-gamma (genetics)</term>
<term>Intracellular Space (parasitology)</term>
<term>Leishmania major (genetics)</term>
<term>Leishmania major (physiology)</term>
<term>Leishmaniasis, Cutaneous (genetics)</term>
<term>Leishmaniasis, Cutaneous (parasitology)</term>
<term>Macrophages (metabolism)</term>
<term>Macrophages (parasitology)</term>
<term>Polymerase Chain Reaction (MeSH)</term>
<term>RNA, Messenger (genetics)</term>
<term>S100 Proteins (genetics)</term>
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<term>ARN messager (génétique)</term>
<term>Analyse de profil d'expression de gènes (méthodes)</term>
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<term>Apoptose (génétique)</term>
<term>Banque de gènes (MeSH)</term>
<term>Chimiokines (génétique)</term>
<term>Espace extracellulaire (parasitologie)</term>
<term>Espace intracellulaire (parasitologie)</term>
<term>Gènes MHC de classe I (MeSH)</term>
<term>Gènes MHC de classe II (MeSH)</term>
<term>Humains (MeSH)</term>
<term>Interactions hôte-parasite (génétique)</term>
<term>Interféron gamma (génétique)</term>
<term>Leishmania major (génétique)</term>
<term>Leishmania major (physiologie)</term>
<term>Leishmaniose cutanée (génétique)</term>
<term>Leishmaniose cutanée (parasitologie)</term>
<term>Macrophages (métabolisme)</term>
<term>Macrophages (parasitologie)</term>
<term>Protéines S100 (génétique)</term>
<term>Réaction de polymérisation en chaîne (MeSH)</term>
<term>Régulation de l'expression des gènes (MeSH)</term>
<term>Séquence nucléotidique (MeSH)</term>
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<term>Chemokines</term>
<term>Interferon-gamma</term>
<term>RNA, Messenger</term>
<term>S100 Proteins</term>
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<keywords scheme="MESH" qualifier="genetics" xml:lang="en">
<term>Apoptosis</term>
<term>Host-Parasite Interactions</term>
<term>Leishmania major</term>
<term>Leishmaniasis, Cutaneous</term>
</keywords>
<keywords scheme="MESH" qualifier="génétique" xml:lang="fr">
<term>ARN messager</term>
<term>Apoptose</term>
<term>Chimiokines</term>
<term>Interactions hôte-parasite</term>
<term>Interféron gamma</term>
<term>Leishmania major</term>
<term>Leishmaniose cutanée</term>
<term>Protéines S100</term>
</keywords>
<keywords scheme="MESH" qualifier="metabolism" xml:lang="en">
<term>Macrophages</term>
</keywords>
<keywords scheme="MESH" qualifier="methods" xml:lang="en">
<term>Gene Expression Profiling</term>
</keywords>
<keywords scheme="MESH" qualifier="métabolisme" xml:lang="fr">
<term>Macrophages</term>
</keywords>
<keywords scheme="MESH" qualifier="méthodes" xml:lang="fr">
<term>Analyse de profil d'expression de gènes</term>
</keywords>
<keywords scheme="MESH" qualifier="parasitologie" xml:lang="fr">
<term>Espace extracellulaire</term>
<term>Espace intracellulaire</term>
<term>Leishmaniose cutanée</term>
<term>Macrophages</term>
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<keywords scheme="MESH" qualifier="parasitology" xml:lang="en">
<term>Extracellular Space</term>
<term>Intracellular Space</term>
<term>Leishmaniasis, Cutaneous</term>
<term>Macrophages</term>
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<keywords scheme="MESH" qualifier="physiologie" xml:lang="fr">
<term>Leishmania major</term>
</keywords>
<keywords scheme="MESH" qualifier="physiology" xml:lang="en">
<term>Leishmania major</term>
</keywords>
<keywords scheme="MESH" xml:lang="en">
<term>Animals</term>
<term>Base Sequence</term>
<term>Gene Expression Regulation</term>
<term>Gene Library</term>
<term>Genes, MHC Class I</term>
<term>Genes, MHC Class II</term>
<term>Humans</term>
<term>Polymerase Chain Reaction</term>
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<term>Animaux</term>
<term>Banque de gènes</term>
<term>Gènes MHC de classe I</term>
<term>Gènes MHC de classe II</term>
<term>Humains</term>
<term>Réaction de polymérisation en chaîne</term>
<term>Régulation de l'expression des gènes</term>
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<div type="abstract" xml:lang="en">
<p>
<b>BACKGROUND</b>
</p>
<p>Leishmania (L) are intracellular protozoan parasites that are able to survive and replicate within the harsh and potentially hostile phagolysosomal environment of mammalian mononuclear phagocytes. A complex interplay then takes place between the macrophage (MPhi) striving to eliminate the pathogen and the parasite struggling for its own survival. To investigate this host-parasite conflict at the transcriptional level, in the context of monocyte-derived human MPhis (MDM) infection by L. major metacyclic promastigotes, the quantitative technique of serial analysis of gene expression (SAGE) was used.</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>RESULTS</b>
</p>
<p>After extracting mRNA from resting human MPhis, Leishmania-infected human MPhis and L. major parasites, three SAGE libraries were constructed and sequenced generating up to 28,173; 57,514 and 33,906 tags respectively (corresponding to 12,946; 23,442 and 9,530 unique tags). Using computational data analysis and direct comparison to 357,888 publicly available experimental human tags, the parasite and the host cell transcriptomes were then simultaneously characterized from the mixed cellular extract, confidently discriminating host from parasite transcripts. This procedure led us to reliably assign 3,814 tags to MPhis' and 3,666 tags to L. major parasites transcripts. We focused on these, showing significant changes in their expression that are likely to be relevant to the pathogenesis of parasite infection: (i) human MPhis genes, belonging to key immune response proteins (e.g., IFNgamma pathway, S100 and chemokine families) and (ii) a group of Leishmania genes showing a preferential expression at the parasite's intra-cellular developing stage.</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>CONCLUSION</b>
</p>
<p>Dual SAGE transcriptome analysis provided a useful, powerful and accurate approach to discriminating genes of human or parasitic origin in Leishmania-infected human MPhis. The findings presented in this work suggest that the Leishmania parasite modulates key transcripts in human MPhis that may be beneficial for its establishment and survival. Furthermore, these results provide an overview of gene expression at two developmental stages of the parasite, namely metacyclic promastigotes and intracellular amastigotes and indicate a broad difference between their transcriptomic profiles. Finally, our reported set of expressed genes will be useful in future rounds of data mining and gene annotation.</p>
</div>
</front>
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<AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Leishmania (L) are intracellular protozoan parasites that are able to survive and replicate within the harsh and potentially hostile phagolysosomal environment of mammalian mononuclear phagocytes. A complex interplay then takes place between the macrophage (MPhi) striving to eliminate the pathogen and the parasite struggling for its own survival. To investigate this host-parasite conflict at the transcriptional level, in the context of monocyte-derived human MPhis (MDM) infection by L. major metacyclic promastigotes, the quantitative technique of serial analysis of gene expression (SAGE) was used.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">After extracting mRNA from resting human MPhis, Leishmania-infected human MPhis and L. major parasites, three SAGE libraries were constructed and sequenced generating up to 28,173; 57,514 and 33,906 tags respectively (corresponding to 12,946; 23,442 and 9,530 unique tags). Using computational data analysis and direct comparison to 357,888 publicly available experimental human tags, the parasite and the host cell transcriptomes were then simultaneously characterized from the mixed cellular extract, confidently discriminating host from parasite transcripts. This procedure led us to reliably assign 3,814 tags to MPhis' and 3,666 tags to L. major parasites transcripts. We focused on these, showing significant changes in their expression that are likely to be relevant to the pathogenesis of parasite infection: (i) human MPhis genes, belonging to key immune response proteins (e.g., IFNgamma pathway, S100 and chemokine families) and (ii) a group of Leishmania genes showing a preferential expression at the parasite's intra-cellular developing stage.</AbstractText>
<AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">Dual SAGE transcriptome analysis provided a useful, powerful and accurate approach to discriminating genes of human or parasitic origin in Leishmania-infected human MPhis. The findings presented in this work suggest that the Leishmania parasite modulates key transcripts in human MPhis that may be beneficial for its establishment and survival. Furthermore, these results provide an overview of gene expression at two developmental stages of the parasite, namely metacyclic promastigotes and intracellular amastigotes and indicate a broad difference between their transcriptomic profiles. Finally, our reported set of expressed genes will be useful in future rounds of data mining and gene annotation.</AbstractText>
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<ForeName>Fatma Z</ForeName>
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<Affiliation>Laboratoire d'Immuno-Pathologie, Vaccinologie et Génétique Moléculaire, WHO Collaborating Center for Research and Training in Leishmaniasis, Institut Pasteur de Tunis, 13 place Pasteur, BP 74, 1002 Tunis-Belvédère, Tunisia. fzguerfali@yahoo.fr</Affiliation>
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<LastName>Laouini</LastName>
<ForeName>Dhafer</ForeName>
<Initials>D</Initials>
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<LastName>Guizani-Tabbane</LastName>
<ForeName>Lamia</ForeName>
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<LastName>Ottones</LastName>
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<LastName>Ben-Aissa</LastName>
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<ForeName>Jacques</ForeName>
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<Year>2008</Year>
<Month>05</Month>
<Day>21</Day>
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<NameOfSubstance UI="D009418">S100 Proteins</NameOfSubstance>
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<DescriptorName UI="D000818" MajorTopicYN="N">Animals</DescriptorName>
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<DescriptorName UI="D017209" MajorTopicYN="N">Apoptosis</DescriptorName>
<QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName>
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<MeshHeading>
<DescriptorName UI="D001483" MajorTopicYN="N">Base Sequence</DescriptorName>
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