Comprehensive Mass Cytometry Analysis of Cell Cycle, Activation, and Coinhibitory Receptors Expression in CD4 T Cells from Healthy and HIV‐Infected Individuals

Corneau, Aurélien; Cosma, Antonio; Even, Sophie; Katlama, Christine; Grand, Roger Le; Martel-Frachet, Véronique; Blanc, Catherine; Autran, Brigitte

doi:10.1002/cyto.b.21502

Cited by 35 publications

(39 citation statements)

References 33 publications

(47 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…For example, Tfh-like cells, traditionally thought to be a relatively uniform subset of cells, can be sub-classified into 15 distinct subclusters when analyzed by CyTOF (Wong et al, 2015). While CyTOF was used recently to compare CD4+ T-cell subsets in uninfected and ART-suppressed HIV-infected subjects (Corneau et al, 2017), it has not been used to characterize cellular susceptibility to HIV infection.…”

Section: Introductionmentioning

confidence: 99%

Mass Cytometric Analysis of HIV Entry, Replication, and Remodeling in Tissue CD4+ T Cells

et al. 2017

View full text Add to dashboard Cite

Summary To characterize susceptibility to HIV infection, we phenotyped infected tonsillar T cells by single-cell mass cytometry and created comprehensive maps to identify which subsets of CD4+ T cells support HIV fusion and productive infection. By comparing HIV-fused and HIV-infected cells through dimensionality reduction, clustering, and statistical approaches to account for viral perturbations, we identified a subset of memory CD4+ T cells that support HIV entry but not viral gene expression. These cells express high levels of CD127, the IL-7 receptor, and are believed to be long-lived lymphocytes. In HIV-infected patients, CD127-expressing cells preferentially localize to extrafollicular lymphoid regions with limited viral replication. Thus, CyTOF-based phenotyping combined with analytical approaches to distinguish between selective infection and receptor modulation by viruses can be used as a discovery tool.

show abstract

Section: Introductionmentioning

confidence: 99%

Mass Cytometric Analysis of HIV Entry, Replication, and Remodeling in Tissue CD4+ T Cells

et al. 2017

View full text Add to dashboard Cite

show abstract

“…In a study from our lab, we measured phospho-signaling differences in uninfected and latent HIV-infected T cells and used PLS-DA to define signatures that predicted infection status and then identified changes in stress kinase signaling as a novel target for preferential infected-cell killing [40]. Comparing total immune cell composition in healthy and infected donors, SPADE and t-SNE analyses performed on 26-parameter mass cytometry data demonstrated that infected patients had a higher fraction of highly differentiated effector memory cells following HIV infection and ART treatment in comparison to healthy donors [41]. Overall, systems immunology studies of virus-host immune interactions have generated new hypotheses about mechanisms of viral pathogenesis and potential strategies to combat viral infection.…”

Section: Connecting Immune Cell States and Composition With Outcomesmentioning

confidence: 99%

Advancing systems immunology through data-driven statistical analysis

Fong

Muñoz-Rojas

Miller‐Jensen

2018

Current Opinion in Biotechnology

View full text Add to dashboard Cite

Systems biology provides an effective approach to decipher, predict, and ultimately manipulate the complex and inter-connected networks that regulate the immune system. Advances in high-throughput, multiplexed experimental techniques have increased the availability of proteomic and transcriptomic immunological datasets, and as a result, have also accelerated the development of new data-driven computational algorithms to extract biological insight from these data. This review highlights how data-driven statistical models have been used to characterize immune cell subsets and their functions, to map the signaling and intercellular networks that regulate immune responses, and to connect immune cell states to disease outcomes to generate hypotheses for novel therapeutic strategies. We focus on recent advances in evaluating immune cell responses following viral infection and in the tumor microenvironment, which hold promise for improving vaccines, antiviral and cancer immunotherapy.

show abstract

“…MC allows for deep profiling of the heterogeneity inherent in biological samples to uncover rare cell populations which may have profound influences in health and disease. Recent examples enabled by MC include the discovery that the brain's reward system affects immunity , identification of HIV‐containing CD4 + T cell reservoirs , elucidation of the role non‐IgE‐mediated immune responses play in food allergies , exploration of the biological basis for lead neurotoxicity , and discovery that coordinated peripheral immunity is required for tumor eradication .…”

mentioning

confidence: 99%

Tellurium‐based mass cytometry barcode for live and fixed cells

et al. 2018

View full text Add to dashboard Cite

Mass cytometry is a revolutionary technology that allows for the simultaneous quantification of >40 different biomarkers with cellular resolution. The biomarkers are detected using metal-labeled antibodies as well as small-molecule probes of cell size, viability, and biochemical status. Barcoding is an important component of sample preparation because it reduces processing time, eliminates sample-to-sample variation, discriminates cell doublets, reduces the amount of antibody needed, and conserves sample. We developed a thiol-reactive tellurium-based barcode, TeMal. TeMal is nontoxic at working concentrations, compatible with metal-labeled antibodies, and can readily be applied to live or fixed cells, making it advantageous and complementary compared to existing barcoding reagents. We have demonstrated the utility of TeMal by barcoding microscale samples in situ to facilitate analysis of cells from an automated cell culture system using mass cytometry.

show abstract

Comprehensive Mass Cytometry Analysis of Cell Cycle, Activation, and Coinhibitory Receptors Expression in CD4 T Cells from Healthy and HIV‐Infected Individuals

Cited by 35 publications

References 33 publications

Mass Cytometric Analysis of HIV Entry, Replication, and Remodeling in Tissue CD4+ T Cells

Mass Cytometric Analysis of HIV Entry, Replication, and Remodeling in Tissue CD4+ T Cells

Advancing systems immunology through data-driven statistical analysis

Tellurium‐based mass cytometry barcode for live and fixed cells

Contact Info

Product

Resources

About