Large-Scale “OMICS” Studies to Explore the Physiopatholgy of HIV-1 Infection

In this review, we present the main large-scale experimental studies that have been performed in the HIV/AIDS field. These “omics” studies are based on several technologies including genotyping, RNA interference, and transcriptome or epigenome analysis. Due to the direct connection with disease evol...
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Autor*in:	Sigrid Le Clerc [verfasserIn] Sophie Limou [verfasserIn] Jean-François Zagury [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	HIV genome-wide association study genomics omics big data

Übergeordnetes Werk:	In: Frontiers in Genetics - Frontiers Media S.A., 2011, 10(2019)
Übergeordnetes Werk:	volume:10 ; year:2019

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3389/fgene.2019.00799

Katalog-ID:	DOAJ04674410X

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allfields	10.3389/fgene.2019.00799 doi (DE-627)DOAJ04674410X (DE-599)DOAJd14a1748459044a39f2fa65992f222f2 DE-627 ger DE-627 rakwb eng QH426-470 Sigrid Le Clerc verfasserin aut Large-Scale “OMICS” Studies to Explore the Physiopatholgy of HIV-1 Infection 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this review, we present the main large-scale experimental studies that have been performed in the HIV/AIDS field. These “omics” studies are based on several technologies including genotyping, RNA interference, and transcriptome or epigenome analysis. Due to the direct connection with disease evolution, there has been a large focus on genotyping cohorts of well-characterized patients through genome-wide association studies (GWASs), but there have also been several invitro studies such as small interfering RNA (siRNA) interference or transcriptome analyses of HIV-1–infected cells. After describing the major results obtained with these omics technologies—including some with a high relevance for HIV-1 treatment—we discuss the next steps that the community needs to embrace in order to derive new actionable therapeutic or diagnostic targets. Only integrative approaches that combine all big data results and consider their complex interactions will allow us to capture the global picture of HIV molecular pathogenesis. This novel challenge will require large collaborative efforts and represents a huge open field for innovative bioinformatics approaches. HIV genome-wide association study genomics omics big data Genetics Sophie Limou verfasserin aut Sophie Limou verfasserin aut Sophie Limou verfasserin aut Jean-François Zagury verfasserin aut In Frontiers in Genetics Frontiers Media S.A., 2011 10(2019) (DE-627)65799829X (DE-600)2606823-0 16648021 nnns volume:10 year:2019 https://doi.org/10.3389/fgene.2019.00799 kostenfrei https://doaj.org/article/d14a1748459044a39f2fa65992f222f2 kostenfrei https://www.frontiersin.org/article/10.3389/fgene.2019.00799/full kostenfrei https://doaj.org/toc/1664-8021 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2019
spelling	10.3389/fgene.2019.00799 doi (DE-627)DOAJ04674410X (DE-599)DOAJd14a1748459044a39f2fa65992f222f2 DE-627 ger DE-627 rakwb eng QH426-470 Sigrid Le Clerc verfasserin aut Large-Scale “OMICS” Studies to Explore the Physiopatholgy of HIV-1 Infection 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this review, we present the main large-scale experimental studies that have been performed in the HIV/AIDS field. These “omics” studies are based on several technologies including genotyping, RNA interference, and transcriptome or epigenome analysis. Due to the direct connection with disease evolution, there has been a large focus on genotyping cohorts of well-characterized patients through genome-wide association studies (GWASs), but there have also been several invitro studies such as small interfering RNA (siRNA) interference or transcriptome analyses of HIV-1–infected cells. After describing the major results obtained with these omics technologies—including some with a high relevance for HIV-1 treatment—we discuss the next steps that the community needs to embrace in order to derive new actionable therapeutic or diagnostic targets. Only integrative approaches that combine all big data results and consider their complex interactions will allow us to capture the global picture of HIV molecular pathogenesis. This novel challenge will require large collaborative efforts and represents a huge open field for innovative bioinformatics approaches. HIV genome-wide association study genomics omics big data Genetics Sophie Limou verfasserin aut Sophie Limou verfasserin aut Sophie Limou verfasserin aut Jean-François Zagury verfasserin aut In Frontiers in Genetics Frontiers Media S.A., 2011 10(2019) (DE-627)65799829X (DE-600)2606823-0 16648021 nnns volume:10 year:2019 https://doi.org/10.3389/fgene.2019.00799 kostenfrei https://doaj.org/article/d14a1748459044a39f2fa65992f222f2 kostenfrei https://www.frontiersin.org/article/10.3389/fgene.2019.00799/full kostenfrei https://doaj.org/toc/1664-8021 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2019
allfields_unstemmed	10.3389/fgene.2019.00799 doi (DE-627)DOAJ04674410X (DE-599)DOAJd14a1748459044a39f2fa65992f222f2 DE-627 ger DE-627 rakwb eng QH426-470 Sigrid Le Clerc verfasserin aut Large-Scale “OMICS” Studies to Explore the Physiopatholgy of HIV-1 Infection 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this review, we present the main large-scale experimental studies that have been performed in the HIV/AIDS field. These “omics” studies are based on several technologies including genotyping, RNA interference, and transcriptome or epigenome analysis. Due to the direct connection with disease evolution, there has been a large focus on genotyping cohorts of well-characterized patients through genome-wide association studies (GWASs), but there have also been several invitro studies such as small interfering RNA (siRNA) interference or transcriptome analyses of HIV-1–infected cells. After describing the major results obtained with these omics technologies—including some with a high relevance for HIV-1 treatment—we discuss the next steps that the community needs to embrace in order to derive new actionable therapeutic or diagnostic targets. Only integrative approaches that combine all big data results and consider their complex interactions will allow us to capture the global picture of HIV molecular pathogenesis. This novel challenge will require large collaborative efforts and represents a huge open field for innovative bioinformatics approaches. HIV genome-wide association study genomics omics big data Genetics Sophie Limou verfasserin aut Sophie Limou verfasserin aut Sophie Limou verfasserin aut Jean-François Zagury verfasserin aut In Frontiers in Genetics Frontiers Media S.A., 2011 10(2019) (DE-627)65799829X (DE-600)2606823-0 16648021 nnns volume:10 year:2019 https://doi.org/10.3389/fgene.2019.00799 kostenfrei https://doaj.org/article/d14a1748459044a39f2fa65992f222f2 kostenfrei https://www.frontiersin.org/article/10.3389/fgene.2019.00799/full kostenfrei https://doaj.org/toc/1664-8021 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2019
allfieldsGer	10.3389/fgene.2019.00799 doi (DE-627)DOAJ04674410X (DE-599)DOAJd14a1748459044a39f2fa65992f222f2 DE-627 ger DE-627 rakwb eng QH426-470 Sigrid Le Clerc verfasserin aut Large-Scale “OMICS” Studies to Explore the Physiopatholgy of HIV-1 Infection 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this review, we present the main large-scale experimental studies that have been performed in the HIV/AIDS field. These “omics” studies are based on several technologies including genotyping, RNA interference, and transcriptome or epigenome analysis. Due to the direct connection with disease evolution, there has been a large focus on genotyping cohorts of well-characterized patients through genome-wide association studies (GWASs), but there have also been several invitro studies such as small interfering RNA (siRNA) interference or transcriptome analyses of HIV-1–infected cells. After describing the major results obtained with these omics technologies—including some with a high relevance for HIV-1 treatment—we discuss the next steps that the community needs to embrace in order to derive new actionable therapeutic or diagnostic targets. Only integrative approaches that combine all big data results and consider their complex interactions will allow us to capture the global picture of HIV molecular pathogenesis. This novel challenge will require large collaborative efforts and represents a huge open field for innovative bioinformatics approaches. HIV genome-wide association study genomics omics big data Genetics Sophie Limou verfasserin aut Sophie Limou verfasserin aut Sophie Limou verfasserin aut Jean-François Zagury verfasserin aut In Frontiers in Genetics Frontiers Media S.A., 2011 10(2019) (DE-627)65799829X (DE-600)2606823-0 16648021 nnns volume:10 year:2019 https://doi.org/10.3389/fgene.2019.00799 kostenfrei https://doaj.org/article/d14a1748459044a39f2fa65992f222f2 kostenfrei https://www.frontiersin.org/article/10.3389/fgene.2019.00799/full kostenfrei https://doaj.org/toc/1664-8021 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2019
allfieldsSound	10.3389/fgene.2019.00799 doi (DE-627)DOAJ04674410X (DE-599)DOAJd14a1748459044a39f2fa65992f222f2 DE-627 ger DE-627 rakwb eng QH426-470 Sigrid Le Clerc verfasserin aut Large-Scale “OMICS” Studies to Explore the Physiopatholgy of HIV-1 Infection 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this review, we present the main large-scale experimental studies that have been performed in the HIV/AIDS field. These “omics” studies are based on several technologies including genotyping, RNA interference, and transcriptome or epigenome analysis. Due to the direct connection with disease evolution, there has been a large focus on genotyping cohorts of well-characterized patients through genome-wide association studies (GWASs), but there have also been several invitro studies such as small interfering RNA (siRNA) interference or transcriptome analyses of HIV-1–infected cells. After describing the major results obtained with these omics technologies—including some with a high relevance for HIV-1 treatment—we discuss the next steps that the community needs to embrace in order to derive new actionable therapeutic or diagnostic targets. Only integrative approaches that combine all big data results and consider their complex interactions will allow us to capture the global picture of HIV molecular pathogenesis. This novel challenge will require large collaborative efforts and represents a huge open field for innovative bioinformatics approaches. HIV genome-wide association study genomics omics big data Genetics Sophie Limou verfasserin aut Sophie Limou verfasserin aut Sophie Limou verfasserin aut Jean-François Zagury verfasserin aut In Frontiers in Genetics Frontiers Media S.A., 2011 10(2019) (DE-627)65799829X (DE-600)2606823-0 16648021 nnns volume:10 year:2019 https://doi.org/10.3389/fgene.2019.00799 kostenfrei https://doaj.org/article/d14a1748459044a39f2fa65992f222f2 kostenfrei https://www.frontiersin.org/article/10.3389/fgene.2019.00799/full kostenfrei https://doaj.org/toc/1664-8021 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2019
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author	Sigrid Le Clerc
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title	Large-Scale “OMICS” Studies to Explore the Physiopatholgy of HIV-1 Infection
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title_auth	Large-Scale “OMICS” Studies to Explore the Physiopatholgy of HIV-1 Infection
abstract	In this review, we present the main large-scale experimental studies that have been performed in the HIV/AIDS field. These “omics” studies are based on several technologies including genotyping, RNA interference, and transcriptome or epigenome analysis. Due to the direct connection with disease evolution, there has been a large focus on genotyping cohorts of well-characterized patients through genome-wide association studies (GWASs), but there have also been several invitro studies such as small interfering RNA (siRNA) interference or transcriptome analyses of HIV-1–infected cells. After describing the major results obtained with these omics technologies—including some with a high relevance for HIV-1 treatment—we discuss the next steps that the community needs to embrace in order to derive new actionable therapeutic or diagnostic targets. Only integrative approaches that combine all big data results and consider their complex interactions will allow us to capture the global picture of HIV molecular pathogenesis. This novel challenge will require large collaborative efforts and represents a huge open field for innovative bioinformatics approaches.
abstractGer	In this review, we present the main large-scale experimental studies that have been performed in the HIV/AIDS field. These “omics” studies are based on several technologies including genotyping, RNA interference, and transcriptome or epigenome analysis. Due to the direct connection with disease evolution, there has been a large focus on genotyping cohorts of well-characterized patients through genome-wide association studies (GWASs), but there have also been several invitro studies such as small interfering RNA (siRNA) interference or transcriptome analyses of HIV-1–infected cells. After describing the major results obtained with these omics technologies—including some with a high relevance for HIV-1 treatment—we discuss the next steps that the community needs to embrace in order to derive new actionable therapeutic or diagnostic targets. Only integrative approaches that combine all big data results and consider their complex interactions will allow us to capture the global picture of HIV molecular pathogenesis. This novel challenge will require large collaborative efforts and represents a huge open field for innovative bioinformatics approaches.
abstract_unstemmed	In this review, we present the main large-scale experimental studies that have been performed in the HIV/AIDS field. These “omics” studies are based on several technologies including genotyping, RNA interference, and transcriptome or epigenome analysis. Due to the direct connection with disease evolution, there has been a large focus on genotyping cohorts of well-characterized patients through genome-wide association studies (GWASs), but there have also been several invitro studies such as small interfering RNA (siRNA) interference or transcriptome analyses of HIV-1–infected cells. After describing the major results obtained with these omics technologies—including some with a high relevance for HIV-1 treatment—we discuss the next steps that the community needs to embrace in order to derive new actionable therapeutic or diagnostic targets. Only integrative approaches that combine all big data results and consider their complex interactions will allow us to capture the global picture of HIV molecular pathogenesis. This novel challenge will require large collaborative efforts and represents a huge open field for innovative bioinformatics approaches.
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title_short	Large-Scale “OMICS” Studies to Explore the Physiopatholgy of HIV-1 Infection
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