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Glaxo Smith flow cytometry data analyses
Flow Cytometry Data Analyses, supplied by Glaxo Smith, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Article Title: Platelet Aggregation Unchanged by Lipoprotein-Associated Phospholipase A 2 Inhibition: Results from an In Vitro Study and Two Randomized Phase I Trials
Article Snippet: Platelet Surface Immunoglobulin Plasma samples will be measured by flow cytometry using an approved method under the management of GlaxoSmithKline Pharmaceuticals.

Article Title: Microbial heterogeneity affects bioprocess robustness: dynamic single-cell analysis contributes to understanding of microbial populations.
Article Snippet: It is now well established that clonal populations of microbial cells exhibit phenotypic heterogeneities due to environmental factors, even in homogenous environments, due to stochastic fluctuations at the level of biochemical reactions.. Although heterogeneity or segregation of microbial populations has received a lot of attention in the past few years resulting in many high level papers, the real impact of this phenomenon on bioprocesses remains poorly understood.. The main reason behind this lack of knowledge is the difficulty in monitoring microbial population heterogeneity under dynamic process conditions.

Article Title: Abstracts of the 39th Annual Meeting of the United Kingdom Environmental Mutagen Society, 26th - 29th June 2016 at King’s College London, UK
Article Snippet: Flow cytometry has progressed significantly over the past decade and as such has been the focus of recent Genetic Toxicology capability studies at GlaxoSmithKline.

Article Title: The Streptococcus agalactiae complement interfering protein combines multiple complement‐inhibitory mechanisms by interacting with both C4 and C3 ligands
Article Snippet: The authors thank Marzia Monica Giuliani for scientific discussion, Chiara Sammicheli and Simona Tavarini for their support in flow cytometry, Barbara Brogioni for her support on SPR, and Francesca Angiolini for her support on B cell experiments (all from GlaxoSmithKline, Siena, Italy).

Article Title: Single-Dose Safety, Tolerability, and Pharmacokinetics of the Antibiotic GSK1322322, a Novel Peptide Deformylase Inhibitor
Article Snippet: We acknowledge the following individuals for their contributions: Lisa Stanton, Darlinghurst, Australia, for flow cytometry and Cheryl Friend (operations manager), Franziska Loehrer (general manager), Karen Quan (contracted trial physician), and Nicholas Buckley (principal investigator at study site), GlaxoSmithKline Medicines Research Unit, Prince of Wales Hospital, Randwick, NSW, Australia.

Flow Cytometry:

Article Title: Leukocyte counts in cerebrospinal fluid and blood following firategrast treatment in subjects with relapsing forms of multiple sclerosis.
Article Snippet: firategrast treatment in subjects with relapsing forms of multiple sclerosis R. A. Grove, S. Shackelford, S. Sopper, S. Pirruccello, J. Horrigan, E. Havrdova, M. Gold and O. Graff Neurosciences Clinical Statistics, GlaxoSmithKline, Uxbridge, UK; Neurosciences Clinical Development, GlaxoSmithKline, Research Triangle Park, NC, USA; Flow Cytometry Unit, H€ amatologie und Onkologie, IHK, Medizinische Universit€ at Innsbruck, Austria; Department of Pathology and Microbiology, 983135 Nebraska Medical Center, USA; and Department of Neurology, Charles University, Prague, Czech Republic

Article Title: Circadian clock component REV-ERBα controls homeostatic regulation of pulmonary inflammation
Article Snippet: .. Acknowledgments We thank J. Woodburn for technical help; P. John-Baptiste, GlaxoSmithKline, for help with breeding the Rev-Erbα–knockout mice; and D. Carpenter, GlaxoSmithKline, for his work on flow cytometry analysis. ..



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Lymphocyte profiling of the L-TME in pediatric AML patients. (a) Logical gating strategy showing the T cell composition of L-TME in AML patients with (top row, n=4 ) and without (bottom row, n=5 ) sustained-CR. The data are displayed cumulatively in the dot plots and individually in the graphs (c and e). The same cumulative and individual representation is depicted in all figures showing <t>flow-cytometry</t> data. (b) I) Cumulative plots displaying CD45 + /CD34 − /CD19 − and CD3 − myeloid cells in AML patients with (top row, n=4 ) and without (bottom row, n=5 ) sustained-CR. II-III) Individual values of samples in (a) and (b) are displayed in a graph; Q value is the result of FDR-corrected multiple t-tests between sustained (red) and non-sustained (black) patients’ samples. Only significant differences are shown. IV) The % of blasts scored in the patients’ diagnosis for all the cohort is displayed in the graph for patients with and without sustained-CR. The blast score was calculated by a combination of microscope and clinical flow-cytometry analyses and provided as clinical report for patients in the Pathology Laboratory of Sidra. (c) I) Phenotype of the CD4 dim cell population: the majority of the cells are IFNγ + (shown in the colored Z-axis) CD4 + and CD8 + doublets, engaging in close networking interactions. A full panel of expression markers for this population is shown in Supplementary Figure 1b. II) Individual values of samples in (b) show a trend of enrichment in CD4 dim doublets (considering lower singlets) in patients without long-term remission.
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Lymphocyte profiling of the L-TME in pediatric AML patients. (a) Logical gating strategy showing the T cell composition of L-TME in AML patients with (top row, n=4 ) and without (bottom row, n=5 ) sustained-CR. The data are displayed cumulatively in the dot plots and individually in the graphs (c and e). The same cumulative and individual representation is depicted in all figures showing flow-cytometry data. (b) I) Cumulative plots displaying CD45 + /CD34 − /CD19 − and CD3 − myeloid cells in AML patients with (top row, n=4 ) and without (bottom row, n=5 ) sustained-CR. II-III) Individual values of samples in (a) and (b) are displayed in a graph; Q value is the result of FDR-corrected multiple t-tests between sustained (red) and non-sustained (black) patients’ samples. Only significant differences are shown. IV) The % of blasts scored in the patients’ diagnosis for all the cohort is displayed in the graph for patients with and without sustained-CR. The blast score was calculated by a combination of microscope and clinical flow-cytometry analyses and provided as clinical report for patients in the Pathology Laboratory of Sidra. (c) I) Phenotype of the CD4 dim cell population: the majority of the cells are IFNγ + (shown in the colored Z-axis) CD4 + and CD8 + doublets, engaging in close networking interactions. A full panel of expression markers for this population is shown in Supplementary Figure 1b. II) Individual values of samples in (b) show a trend of enrichment in CD4 dim doublets (considering lower singlets) in patients without long-term remission.

Journal: bioRxiv

Article Title: A 3-genes interferon signature predicts sustained complete remission in pediatric AML patients

doi: 10.1101/2025.07.17.664572

Figure Lengend Snippet: Lymphocyte profiling of the L-TME in pediatric AML patients. (a) Logical gating strategy showing the T cell composition of L-TME in AML patients with (top row, n=4 ) and without (bottom row, n=5 ) sustained-CR. The data are displayed cumulatively in the dot plots and individually in the graphs (c and e). The same cumulative and individual representation is depicted in all figures showing flow-cytometry data. (b) I) Cumulative plots displaying CD45 + /CD34 − /CD19 − and CD3 − myeloid cells in AML patients with (top row, n=4 ) and without (bottom row, n=5 ) sustained-CR. II-III) Individual values of samples in (a) and (b) are displayed in a graph; Q value is the result of FDR-corrected multiple t-tests between sustained (red) and non-sustained (black) patients’ samples. Only significant differences are shown. IV) The % of blasts scored in the patients’ diagnosis for all the cohort is displayed in the graph for patients with and without sustained-CR. The blast score was calculated by a combination of microscope and clinical flow-cytometry analyses and provided as clinical report for patients in the Pathology Laboratory of Sidra. (c) I) Phenotype of the CD4 dim cell population: the majority of the cells are IFNγ + (shown in the colored Z-axis) CD4 + and CD8 + doublets, engaging in close networking interactions. A full panel of expression markers for this population is shown in Supplementary Figure 1b. II) Individual values of samples in (b) show a trend of enrichment in CD4 dim doublets (considering lower singlets) in patients without long-term remission.

Article Snippet: Statistical analyses of the flow cytometry data were performed using GraphPad Prism (v. 10.3.1).

Techniques: Flow Cytometry, Biomarker Discovery, Microscopy, Expressing