Institution
Center for Biologics Evaluation and Research
Facility•Silver Spring, Maryland, United States•
About: Center for Biologics Evaluation and Research is a facility organization based out in Silver Spring, Maryland, United States. It is known for research contribution in the topics: Virus & Vaccination. The organization has 3024 authors who have published 4648 publications receiving 228078 citations. The organization is also known as: CBER.
Topics: Virus, Vaccination, Immune system, Antibody, Antigen
Papers published on a yearly basis
Papers
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TL;DR: IL4‐PE4E‐mediated cytotoxicity of the brain tumor cells required both IL‐4R binding and enzymatic toxin activity, indicating that human neurological cancer cells express IL‐ 4R which are targets for the cytotoxic effects of IL4‐toxin.
Abstract: Glioblastoma, glioma or neuroblastoma cells were examined for the expression of IL-4 receptors (IL-4R) by flow cytometric analysis and 125I-IL-4 binding. These cancer cell lines expressed IL-4R which were of high affinity (KD = 700 x 10(-12) M) on glioblastoma cells. To investigate the function of these receptors and to target potent cytotoxic antitumor agents to human neurological cancers, we utilized IL4-PE4E, which is composed of IL-4 and mutant Pseudomonas exotoxin (IL4-PE4E). This chimeric molecule was cytotoxic toward human glioblastoma, neuroblastoma and glioma tumor cells in a dose-dependent manner. The cytotoxicity of IL4-PE4E was specific, since it was neutralized by excess IL-4, and by an anti-IL-4 monoclonal antibody in all types of brain tumor tested. IL2-PE4E and IL6-PE4E were not cytotoxic, nor was an IL4-PE4E mutant lacking ADP-ribosylating activity, indicating the IL4-PE4E-mediated cytotoxicity of the brain tumor cells required both IL-4R binding and enzymatic toxin activity. These data indicate that human neurological cancer cells express IL-4R which are targets for the cytotoxic effects of IL4-toxin. In addition, our data also suggest that IL4-PE4E should be studied further as a potential treatment for human neurological cancers.
115 citations
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TL;DR: Cowley and Meierovics show that mucosa-associated invariant T (MAIT) cells promote the differentiation of monocytes into monocyte-derived dendritic cells during Francisella tularensis LVS pulmonary infection.
Abstract: Mucosa-associated invariant T (MAIT) cells are a unique innate T cell subset that is necessary for rapid recruitment of activated CD4+ T cells to the lungs after pulmonary F tularensis LVS infection Here, we investigated the mechanisms behind this effect We provide evidence to show that MAIT cells promote early differentiation of CCR2-dependent monocytes into monocyte-derived DCs (Mo-DCs) in the lungs after F tularensis LVS pulmonary infection Adoptive transfer of Mo-DCs to MAIT cell–deficient mice (MR1−/− mice) rescued their defect in the recruitment of activated CD4+ T cells to the lungs We further demonstrate that MAIT cell–dependent GM-CSF production stimulated monocyte differentiation in vitro, and that in vivo production of GM-CSF was delayed in the lungs of MR1−/− mice Finally, GM-CSF–deficient mice exhibited a defect in monocyte differentiation into Mo-DCs that was phenotypically similar to MR1−/− mice Overall, our data demonstrate that MAIT cells promote early pulmonary GM-CSF production, which drives the differentiation of inflammatory monocytes into Mo-DCs Further, this delayed differentiation of Mo-DCs in MR1−/− mice was responsible for the delayed recruitment of activated CD4+ T cells to the lungs These findings establish a novel mechanism by which MAIT cells function to promote both innate and adaptive immune responses
115 citations
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TL;DR: The alphabeta TCR+ cells are required for protection, but either CD4+ or CD8+ T cells are individually sufficient to resolve a large sublethal i.d. LVS infection and to protect against a maximal secondary lethal challenge.
Abstract: Normal mice readily survive a sublethal intradermal (i.d.) infection with Francisella tularensis live vaccine strain (LVS), a model intracellular bacterium, and are strongly protected against subsequent lethal challenge. However, athymic nu/nu mice, which lack mature alphabeta TCR+ T lymphocytes, succumb to i.d. infection within 30 days. Here we characterize the alphabeta T cell subpopulations necessary for both resolution of i.d. infection and generation of optimal protective immunity to LVS. BALB/cByJ mice treated with anti-CD4 or anti-CD8 Abs before i.d. infection survived and cleared bacteria, and anti-CD4- or anti-CD8-treated immune mice survived a very strong i.p. challenge of 10,000 LD50s. Among mutant mice with targeted gene disruptions (knockouts), CD4-, beta2-microglobulin-deficient (which are also CD8-), and gammadelta TCR- mice all resolved a large sublethal i.d. infection. All CD4- and beta2-microglobulin-deficient mice readily survived subsequent lethal i.p. challenge of 10,000 LD50s, even in the absence of specific IgG Abs, as did most (86%) gammadelta TCR- mice. In contrast, alphabeta TCR- mice or alphabeta + gammadelta TCR- mice died about 35 days after i.d. infection. Depletion of gammadelta+ T cells from alphabeta TCR- mice had no effect on mean time to death from i.d. LVS infection. Therefore alphabeta TCR+ cells are required for protection, but either CD4+ or CD8+ T cells are individually sufficient to resolve a large sublethal i.d. LVS infection and to protect against a maximal secondary lethal challenge. These results emphasize the remarkable plasticity of the alphabeta T cell response in protective immunity to intracellular bacteria.
115 citations
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TL;DR: The analysis of human cancer can be used as a model for how clinical proteomics is having an impact at the bedside for early detection, rational therapeutic targeting, and patient-tailored therapy.
Abstract: The evolving discipline of Clinical Proteomics is more than simply describing and enumerating the systematic changes in the protein constituency of a cell, or just generating lists of proteins that increase or decrease in expression as a cause or consequence of disease. Clinical applications of proteomics involve the use of proteomic technologies at the bedside with the ultimate goal to characterize the information flow through the intra- and extracellular molecular protein networks that interconnect organ and circulatory systems together. These networks are both new targets for therapeutics themselves as well as underpin the dynamic changes that give rise to cascades of new diagnostic biomarkers. The analysis of human cancer can be used as a model for how clinical proteomics is having an impact at the bedside for early detection, rational therapeutic targeting, and patient-tailored therapy.
115 citations
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TL;DR: A hierarchical clustering analysis clearly depicted a distinct difference in gene expression profile among undifferentiated and differentiated hESC and confirmed that microarray analysis could readily distinguish them.
Abstract: The identification of molecular pathways of differentiation of embryonic stem cells (hESC) is critical for the development of stem cell based medical therapies. In order to identify biomarkers and potential regulators of the process of differentiation, a high quality microarray containing 16,659 seventy base pair oligonucleotides was used to compare gene expression profiles of undifferentiated hESC lines and differentiating embryoid bodies. Previously identified "stemness" genes in undifferentiated hESC lines showed down modulation in differentiated cells while expression of several genes was induced as cells differentiated. In addition, a subset of 194 genes showed overexpression of greater than ≥ 3 folds in human embryoid bodies (hEB). These included 37 novel and 157 known genes. Gene expression was validated by a variety of techniques including another large scale array, reverse transcription polymerase chain reaction, focused cDNA microarrays, massively parallel signature sequencing (MPSS) analysis and immunocytochemisty. Several novel hEB specific expressed sequence tags (ESTs) were mapped to the human genome database and their expression profile characterized. A hierarchical clustering analysis clearly depicted a distinct difference in gene expression profile among undifferentiated and differentiated hESC and confirmed that microarray analysis could readily distinguish them. These results present a detailed characterization of a unique set of genes, which can be used to assess the hESC differentiation.
115 citations
Authors
Showing all 3036 results
Name | H-index | Papers | Citations |
---|---|---|---|
Elaine S. Jaffe | 156 | 828 | 112412 |
Charles M. Rice | 154 | 561 | 83812 |
Lance A. Liotta | 153 | 832 | 102335 |
Patrick C. Walsh | 136 | 776 | 77683 |
Alan Sher | 132 | 486 | 68128 |
Richard A. Koup | 122 | 401 | 61738 |
Milton C. Weinstein | 121 | 482 | 85070 |
Jack E. Dixon | 115 | 408 | 47201 |
Daniel C. Douek | 113 | 376 | 44694 |
Alan W. Partin | 111 | 710 | 54213 |
Mark Raffeld | 101 | 418 | 39194 |
Neil E. Caporaso | 100 | 497 | 35734 |
Emanuel F. Petricoin | 93 | 488 | 36145 |
Alexander D. MacKerell | 92 | 474 | 67029 |
Gerald B. Pier | 88 | 395 | 26166 |