grant

Regulation of HIV Latency by Host Cell Transcriptional and Epigenetic Networks

Organization UNIV OF NORTH CAROLINA CHAPEL HILLLocation CHAPEL HILL, UNITED STATESPosted 16 Jul 2019Deadline 31 Jul 2026
NIHUS FederalResearch GrantFY20242019-nCoV vaccineAIDS VirusAcquired Immune Deficiency Syndrome VirusAcquired Immunodeficiency Syndrome VirusAnimal ModelAnimal Models and Related StudiesBasal Transcription FactorBasal transcription factor genesBenchmarkingBest Practice AnalysisCD4 CellsCD4 Positive T LymphocytesCD4 T cellsCD4 helper T cellCD4 lymphocyteCD4+ T-LymphocyteCD4-Positive LymphocytesCOVID-19 vaccineCRISPRCRISPR editing screenCRISPR screenCRISPR-based screenCRISPR/Cas systemCRISPR/Cas9 screenCell BodyCell LineCell modelCellLineCellsCellular modelChemicalsChromatinClinicalClinical ResearchClinical StudyClustered Regularly Interspaced Short Palindromic RepeatsCollaborationsComplexDataData SetDrug CombinationsEngineeringEnvironmentEpigeneticEpigenetic ChangeEpigenetic MechanismEpigenetic ProcessGene CombinationsGene TranscriptionGeneral Transcription Factor GeneGeneral Transcription FactorsGenesGenetic TranscriptionHIVHIV InfectionsHTLV-III InfectionsHTLV-III-LAV InfectionsHeterochromatinHost FactorHost Factor ProteinHuman Immunodeficiency VirusesHuman T-Lymphotropic Virus Type III InfectionsImmune systemIndividualIntegration Host FactorsInterpretable MLInterpretable machine learningInterruptionInterventionIntervention StrategiesKnock-outKnockoutLAV-HTLV-IIILeadLibrariesLogicLymphadenopathy-Associated VirusMediatingMessenger RNAModelingMolecularNatureNon-Polyadenylated RNAPathway interactionsPb elementPersonsPopulationProvirus IntegrationProvirusesRNARNA ExpressionRNA Gene ProductsRNA deliveryRegulationRepressionResearchRestRibonucleic AcidSARS-CoV-2 vaccineSARS-coronavirus-2 vaccineSevere Acute Respiratory Syndrome CoV 2 vaccineSevere acute respiratory syndrome coronavirus 2 vaccineShort interfering RNASmall Interfering RNAStrains Cell LinesT4 CellsT4 LymphocytesTestingTrainingTranscriptTranscriptionTranscription Factor Proto-OncogeneTranscription factor genesUniversitiesViralVirus-HIVaccess restrictionsanalytical toolantiretroviral therapyantiretroviral treatmentbenchmarkclustered regularly interspaced short palindromic repeats screencombinatorialcomputer based predictioncoronavirus disease 2019 vaccinecoronavirus disease-19 vaccinecultured cell lineepigeneticallyepigenomeepigenomicsexplainable MLexplainable machine learningglobal gene expressionglobal transcription profileheavy metal Pbheavy metal leadimprovedintegration siteinterventional strategyknockout genelatency/reactivationlatent infectionlipid based nanoparticlelipid nanoparticlemRNAmachine learning based modelmachine learning modelmodel of animalnCoV vaccinenCoV-19 vaccinenCoV19 vaccinenovelpathwaypredictive modelingprogramsreactivation from latencyscreeningscreeningssiRNAsingle cell analysissmall molecular inhibitorsmall moleculesmall molecule inhibitorsuccesssynergismtooltranscription factortranscriptometranscriptomicsvaccine against 2019-nCovvaccine against COVID-19vaccine against SARS-CoV-2vaccine against SARS-coronavirus-2vaccine against Severe Acute Respiratory Syndrome CoV 2vaccine against Severe acute respiratory syndrome coronavirus 2vaccine candidates against SARS-CoV-2vaccine for novel coronavirusvaccines preventing COVIDvaccines to prevent COVIDviral reboundvirus rebound
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Full Description

Project summary:
Antiretroviral therapy (ART) has been successful at treating HIV infection and allowing people with HIV (PWH)

to lead relatively normal lives. Nevertheless, a cure for HIV has remained elusive, and interruption of ART

results in rapid viral rebound. HIV persists during therapy by its ability to enter a state of latent infection in CD4

T cells. A key challenge in the field is defining the molecular mechanisms that regulate HIV expression and

contribute to maintaining the latent state. HIV expression in latently infected cells is repressed by the

formation of heterochromatin at the integrated provirus that restricts access by key activating transcription

factors (TFs) and RNAPol2. Latency reversing agents (LRAs) have been developed that target HIV regulating

transcriptional pathways. However, most LRAs reactivate only a fraction of the reservoir, suggesting that

latency reversal is inefficient with single agents. We have carried out a set of single cell analyses to

characterize the transcriptomic and epigenomic states of latently infected cells, leading to the discovery of a

latency associated `signature' in primary CD4 T cells. Since then, we have performed a targeted CRISPR

screen of latency-associated genes as well as a chemical screen to identify a set of validated novel host cell

factors that individually regulate HIV latency. In this proposal we will capitalize on these findings to identify

novel combinations of gene knockouts and small molecule inhibitors that can synergize with our validated HIV

regulating factors to achieve broad reactivation of the clinical reservoir. To achieve this, we will take a novel

experimental approach involving both combination CRISPR/LRA screening and using cutting edge

interpretable machine learning tools to define the key drivers of HIV reactivation. Additionally, we will develop

a novel lipid nanoparticle platform for RNA-mediated reprogramming of latently infected cells to promote viral

reactivation.

Grant Number: 2R56AI143381-05
NIH Institute/Center: NIH

Principal Investigator: Edward Browne

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