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A comprehensive understanding of the phenotype of persistent HIV-infected cells, transcriptionally active and/or transcriptionally inactive, is imperative for developing a cure. The relevance of cell-surface glycosylation to HIV persistence has never been explored. We characterize the relationship between cell-surface glycomic signatures and persistent HIV transcription in vivo. We find that the cell surface of CD4+ T cells actively transcribing HIV, despite suppressive therapy, harbors high levels of fucosylated carbohydrate ligands, including the cell extravasation mediator Sialyl-LewisX (SLeX), compared with HIV-infected transcriptionally inactive cells. These high levels of SLeX are induced by HIV transcription in vitro and are maintained after therapy in vivo. Cells with high-SLeX are enriched with markers associated with HIV susceptibility, signaling pathways that drive HIV transcription, and pathways involved in leukocyte extravasation. We describe a glycomic feature of HIV-infected transcriptionally active cells that not only differentiates them from their transcriptionally inactive counterparts but also may affect their trafficking abilities.
Pubmed ID: 32755584
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Commercial antibody vendor which supplies antibodies and other products to life science researchers.
View all literature mentionsPrivately held company that develops and produces antibodies, ELISA kits, ChIP kits, proteomic kits, and other related reagents used to study cell signaling pathways that impact human health.
View all literature mentionsTHIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 5,2022.Tool that predicts interactions between transcription factors and their regulated genes from binding motifs. Understanding vertebrate development requires unraveling the cis-regulatory architecture of gene regulation. PRISM provides accurate genome-wide computational predictions of transcription factor binding sites for the human and mouse genomes, and integrates the predictions with GREAT to provide functional biological context. Together, accurate computational binding site prediction and GREAT produce for each transcription factor: 1. putative binding sites, 2. putative target genes, 3. putative biological roles of the transcription factor, and 4. putative cis-regulatory elements through which the factor regulates each target in each functional role.
View all literature mentionsTHIS RESOURCE IS NO LONGER IN SERVICE, documented on January 19, 2022.
View all literature mentionsA commercial organization which provides assay technologies to isolate DNA, RNA, and proteins from any biological sample. Assay technologies are then used to make specific target biomolecules, such as the DNA of a specific virus, visible for subsequent analysis.
View all literature mentionsAn Organization portal, Antibody supplier, Service resource,
View all literature mentionsAmerican chemical, life science and biotechnology company owned by Merck KGaA. Merger of Sigma Chemical Company and Aldrich Chemical Company. Provides organic and inorganic chemicals, building blocks, reagents, advanced materials and stable isotopes for chemical synthesis, medicinal chemistry and materials science, antibiotics, buffers, carbohydrates, enzymes, forensic tools, hematology and histology, nucleotides, proteins, peptides, amino acids and their derivatives.
View all literature mentionsCompany provides laboratories worldwide with analytical instruments and supplies, clinical and diagnostic testing services, consumables, applications and expertise in life sciences and applied chemical markets.
View all literature mentionsNIH HIV Reagent Program has been managed under contract by American Type Culture Collection (ATCC) since 2020. ATCC shall maintain the NIH HIV Reagent Program through identification, acquisition, production, receipt, storage, maintenance, distribution and disposal of biological and chemical research organisms and materials for HIV and other infectious diseases for use in basic and translational research.
View all literature mentionsCell line ACH-2 is a Cancer cell line with a species of origin Homo sapiens (Human)
View all literature mentionsCell line U-118MG is a Cancer cell line with a species of origin Homo sapiens (Human)
View all literature mentionsThis monoclonal targets CD95
View all literature mentionsThis monoclonal targets CD194 (CCR4)
View all literature mentionsThis monoclonal targets CLA
View all literature mentionsThis unknown targets FUT6
View all literature mentionsThis polyclonal targets IgG (H+L)
View all literature mentionsThis monoclonal targets CD62L/L-selectin
View all literature mentionsThis monoclonal targets CD19
View all literature mentionsThis monoclonal targets CD69
View all literature mentionsThis monoclonal targets CD195 (CCR5)
View all literature mentionsThis monoclonal targets CD14
View all literature mentionsThis monoclonal targets CD19
View all literature mentionsThis monoclonal targets Human Survivin
View all literature mentionsThis monoclonal targets CD184 (CXCR4)
View all literature mentionsThis monoclonal targets CD8
View all literature mentionsThis unknown targets HIV-1 Core Antigen
View all literature mentionsThis monoclonal targets CD4
View all literature mentionsThis monoclonal targets CCR7
View all literature mentionsThis monoclonal targets CD185 (CXCR5)
View all literature mentionsThis monoclonal targets CD197
View all literature mentionsThis monoclonal targets CD27
View all literature mentionsThis monoclonal targets FOXP3
View all literature mentionsThis recombinant monoclonal targets GAPDH
View all literature mentionsThis monoclonal targets CD279
View all literature mentionsThis monoclonal targets CD183
View all literature mentionsThis monoclonal targets CD25 (IL-2 Receptor α)
View all literature mentionsThis monoclonal targets CD27
View all literature mentionsThis monoclonal targets CD3
View all literature mentionsThis monoclonal targets CD15s (Sialyl Lewis x)
View all literature mentionsStatistical analysis software that combines scientific graphing, comprehensive curve fitting (nonlinear regression), understandable statistics, and data organization. Designed for biological research applications in pharmacology, physiology, and other biological fields for data analysis, hypothesis testing, and modeling.
View all literature mentionsOpen source and enterprise ready professional software for R statistical computing environment. Integrated development environment for R. Includes console, syntax highlighting editor that supports direct code execution, as well as tools for plotting, history, debugging and workspace management. Available in open source and commercial editions and runs on desktop Windows, Mac, and Linux or in browser connected to RStudio Server or RStudio Server Pro (Debian/Ubuntu, RedHat/CentOS, and SUSE Linux).
View all literature mentionsSoftware for single-cell flow cytometry analysis. Its functions include management, display, manipulation, analysis and publication of the data stream produced by flow and mass cytometers.
View all literature mentionsSoftware package for differential gene expression analysis based on the negative binomial distribution. Used for analyzing RNA-seq data for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates.
View all literature mentionsSoftware package for quantifying gene and isoform abundances from single end or paired end RNA Seq data. Accurate transcript quantification from RNA Seq data with or without reference genome. Used for accurate quantification of gene and isoform expression from RNA-Seq data.
View all literature mentionsA web-based software application that enables users to analyze, integrate, and understand data derived from gene expression, microRNA, and SNP microarrays, metabolomics, proteomics, and RNA-Seq experiments, and small-scale experiments that generate gene and chemical lists. Users can search for targeted information on genes, proteins, chemicals, and drugs, and build interactive models of experimental systems. IPA allows exploration of molecular, chemical, gene, protein and miRNA interactions, creation of custom molecular pathways, and the ability to view and modify metabolic, signaling, and toxicological canonical pathways. In addition to the networks and pathways that can be created, IPA can provide multiple layering of additional information, such as drugs, disease genes, expression data, cellular functions and processes, or a researchers own genes or chemicals of interest.
View all literature mentionsA collection of tools for flow cytometer and application setup, data acquisition, and data analysis that help streamline flow cytometry workflows. It provides features to help users integrate flow systems into new application areas, including index sorting for stem cell and single-cell applications, as well as automation protocols for high-throughput and robotic laboratories.
View all literature mentionsSoftware ultrafast memory efficient tool for aligning sequencing reads. Bowtie is short read aligner.
View all literature mentionsWelcome to the Neuroscience Information Framework Project, designed to serve the biomedical research community. NIF maintains the largest searchable collection of neuroscience data, the largest catalog of biomedical resources, and the largest ontology for neuroscience on the web. We welcome all feedback and suggestions and are actively looking for resource providers to make their resources accessible through NIF. Learn about the tools available to help you share your data and discover a dynamic inventory of Web-based neuroscience resources.
