Experiments

Searchable full-text extractions: founding hypothesis, core claims, experimental setups, key results and statistics — pulled out of each paper as structure. Search a cell line, an assay or an entity (e.g. HUH7) and find every paper that worked with it. This corpus stands on its own: most entries carry no reproduction assessment (yet).

• Proteomic analyses associate cystatin B with restricted HIV-1 replication in placental macrophages.

  PMID 18951626 · PMC3867668 · Placenta · 2008 · 6 claims · 6 setups

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  Placental macrophages support significantly lower HIV-1 replication than monocyte-derived macrophages

  placental mdm hiv-1 seldi-tof sds-page

• Proteomic analyses of monocyte-derived macrophages infected with human immunodeficiency virus type 1 primary isolates from Hispanic women with and without cognitive impairment.

  PMID 19115125 · PMC2947716 · Journal of neurovirology · 2009 · 7 claims · 5 setups

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  HIV-1 isolates from CI patients induce a distinct macrophage proteome signature compared to isolates from NC patients and SF162

  monocyte-derived mdm mdms western p24 seldi-tof sds-page

• HIV replication enhances production of free fatty acids, low density lipoproteins and many key proteins involved in lipid metabolism: a proteomics study.

  PMID 18714345 · PMC2500163 · PloS one · 2008 · 7 claims · 4 setups

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  HIV infection of a human T-cell line differentially regulates 18 proteins involved in lipid metabolism.

  t-cell identified gel maldi-tof bioinformatics

• Spatially clustered loci with multiple enhancers are frequent targets of HIV-1 integration.

  PMID 31492853 · PMC6731298 · Nature communications · 2019 · 8 claims · 8 setups

  Has reproduction · 77

  Recurrently targeted HIV-1 integration genes (RIGs) are proximal to super-enhancer (SE) genomic elements

  activated cd4+ cd3 jurkat chip-seq hiv-1 sequencing

• Systems biology and the host response to viral infection.

  PMID 18066032 · PMC7097743 · Nature biotechnology · 2007 · 8 claims · 8 setups

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  Systems biology integration of 'omics data (transcriptomics, proteomics, genomics) with computational modeling is needed to fully understand virus-host interactions and identify novel antiviral targets

  lung cd4 rhesus kshv microarray quantitative genomic