Literature DB >> 11770291

An update on the use of flow cytometry in HIV infection and AIDS.

R L Hengel1, J K Nicholson.   

Abstract

Flow cytometry has played an invaluable role in recent advances made against HIV and AIDS, and there is every reason to expect it will continue to do so. Newer-generation machines, using three- and four-color panels, make measurements of lymphocyte subsets ever more accurate and potentially cost-effective. Similarly, recent single-platform techniques promise even more efficiencies, freeing CD4 enumeration from parallel determination of the CBC. In other developments, quantitative reporting of immunophenotype may well change the way subsets traditionally defined by qualitative determinations are viewed. The most promising initial candidates for such changes are surrogates of immune activation, such as CD38 expression on CD8 cells. But technical demonstration of reproducibility and reliability, and clinical trial evidence of utility--especially as measured against such established laboratory parameters as CD4 cell and HIV RNA determinations--are needed before a change from qualitative to quantitative immunophenotype measurement can be widely accepted. Although too soon to tell if they will emerge from the research arena into the clinical arena, tetramer binding, intracellular cytokine detection, and assays of cell division are rapidly advancing understanding of HIV-disease, and indeed understanding of all of human immunology. Some of these assays provide often subtly different information, and together they will help determine the most important surrogate measures of clinical immunity. Identifying such surrogates is critical to developing a rational HIV vaccine. The power of flow cytometry is its ability simultaneously to analyze data in four, five, six, or more dimensions. For longitudinal experiments, time adds yet another dimension. Humans struggle to think past three dimensions; interpreting results from experimental permutations and combinations that expand geometrically with each additional parameter studied requires considerable effort. Ultimately computer programs might come to our aid, but for now we have to live with the information overload if we hope to gain insight into the workings of complex biologic systems. In a world of limited resources, and with limited capacity to conceptualize in multiple dimensions, insight, inspiration, and perhaps a little luck are needed to ask the right questions and use the right assays if the recent string of advances against AIDS is to continue.

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Year:  2001        PMID: 11770291

Source DB:  PubMed          Journal:  Clin Lab Med        ISSN: 0272-2712            Impact factor:   1.935


  7 in total

1.  Concept for the traceability of fluorescence (beads) in flow cytometry: exploiting saturation and microscopic single molecule bleaching.

Authors:  Jörg Neukammer; Carsten Gohlke; Benedikt Krämer; Martin Roos
Journal:  J Fluoresc       Date:  2005-05       Impact factor: 2.217

Review 2.  Tackling HIV through robust diagnostics in the developing world: current status and future opportunities.

Authors:  Darash Desai; Grace Wu; Muhammad H Zaman
Journal:  Lab Chip       Date:  2010-12-01       Impact factor: 6.799

Review 3.  Data standards for flow cytometry.

Authors:  Josef Spidlen; Robert C Gentleman; Perry D Haaland; Morgan Langille; Nolwenn Le Meur; Michael F Ochs; Charles Schmitt; Clayton A Smith; Adam S Treister; Ryan R Brinkman
Journal:  OMICS       Date:  2006

4.  QUAliFiER: an automated pipeline for quality assessment of gated flow cytometry data.

Authors:  Greg Finak; Wenxin Jiang; Jorge Pardo; Adam Asare; Raphael Gottardo
Journal:  BMC Bioinformatics       Date:  2012-09-28       Impact factor: 3.169

5.  A survey of flow cytometry data analysis methods.

Authors:  Ali Bashashati; Ryan R Brinkman
Journal:  Adv Bioinformatics       Date:  2009-12-06

6.  flowClust: a Bioconductor package for automated gating of flow cytometry data.

Authors:  Kenneth Lo; Florian Hahne; Ryan R Brinkman; Raphael Gottardo
Journal:  BMC Bioinformatics       Date:  2009-05-14       Impact factor: 3.169

7.  Single-color multitarget flow cytometry using monoclonal antibodies labeled with different intensities of the same fluorochrome.

Authors:  Joonhong Park; Kyungja Han
Journal:  Ann Lab Med       Date:  2012-04-18       Impact factor: 3.464

  7 in total

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