ArticleMethods in molecular biology (Clifton, N.J.)2016
Improved Methods to Detect Low Levels of HIV Using Antibody-Based Technologies.
Article in Methods in molecular biology (Clifton, N.J.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Nipah virus infects the brain and triggers neuronal and glial damage in a hamster model.Journal of neuroinflammation · 2026Article
- Article
- Correlative Imaging to Detect Rare HIV Reservoirs and Associated Damage in Tissues.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Dysregulated neuroimmune interactions and sustained type I interferon signaling after human immunodeficiency virus type 1 infection of human iPSC derived microglia and cerebral organoids.bioRxiv : the preprint server for biology · 2023Article
- Identification, Localization, and Quantification of HIV Reservoirs Using Microscopy.Current protocols in cell biology · 2019Article
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Authors and funding
2 authors.
Funding
Abstract
Persistence of latent virus represents a major barrier to eradicating HIV even in the current antiretroviral therapy era. A critical limitation to eliminating these viral reservoirs is the lack of reliable methods to detect, quantify, and characterize cells harboring low levels of virus. However, recent work of several laboratories indicates that PCR and viral amplification based technologies underestimate or overestimate the size of the reservoirs. Thus, new technologies and methodologies to detect, quantify, and characterize these viral reservoirs are necessary to monitor and eradicate HIV. Recent developments in imaging technologies have enabled the development or improvement of detection protocols and have facilitated the identification and quantification of several markers with exquisite resolution. In the context of HIV, we developed new protocols for the detection of low amounts of viral proteins. In this chapter, we describe several antibody-based technologies for signal amplification to improve and detect low amounts of HIV proteins in cells, tissues, and other biological samples. The improvement in these techniques is essential to detect viral reservoirs and to design strategies to eliminate them.
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