Results 121 to 130 of about 49,835 (287)

Intravenous Lipopolysaccharide Challenge in Healthy Participants Reveals Pharmacodynamic Markers in Blood and Bone Marrow for Early‐Phase Oncology Drug Development

Clinical Pharmacology &Therapeutics, EarlyView.
Demonstrating pharmacological effects in early‐phase oncology clinical trials remains challenging, largely due to the lack of robust pharmacodynamic markers. Lipopolysaccharide (LPS) is used as an immune challenge agent in healthy participants to study drugs for autoimmune conditions.
Igor Radanović, Ingrid Tomljanović, Wieke H. Grievink, Diana R. Pereira, Michelle Osse, Peter van Balen, Maria J. Juachon, Marieke L. de Kam, Lisa Pagan, Manon A.A. Jansen, Matthijs Moerland, Jacobus J. Bosch   +11 more
wiley   +1 more source

Flow Cytometric Immunophenotyping: Minimal Differences in Fresh and Cryopreserved Peripheral Blood Mononuclear Cells versus Whole Blood

Biomedicines
Background/Objectives: Flow cytometry is a convenient tool in immunophenotyping for monitoring the status of immunological conditions and diseases. The aim of this study was to investigate the effect of isolation and cryopreservation by flow cytometric ...
Andrea Tompa, Junko Johansson, Ulrika Islander, Maria Faresjö   +3 more
doaj   +1 more source

AIEOP-BFM consensus guidelines 2016 for flow cytometric immunophenotyping of Pediatric acute lymphoblastic leukemia

, 2017
Immunophenotyping by flow cytometry (FCM) is a worldwide mainstay in leukemia diagnostics. For concordant multicentric application, however, a gap exists between available classification systems, technologic standardization, and clinical needs. The AIEOP-
Hrusak, Ondrej, Martin Schrappe, Dworzak, Michael N, Wolf-Dieter Ludwig, Luria, Drorit, Ondrej Hrusak, Andrea Biondi, Ludwig, Wolf-Dieter, Barbara Buldini, Maglia, Oscar, Ester Mejstrikova, Buldini, Barbara, Drorit Luria, Ratei, Richard, Leonid Karawajew, Oscar Maglia, Sartor, Mary, Georg Mann, Giuseppe Gaipa, Basso, Giuseppe, Mary Sartor, Bourquin, Jean-Pierre, International-BFM-FLOW-network, Bourquin, Jean-Pierre; https://orcid.org/, Mejstrikova, Ester, Biondi, Andrea, Richard Ratei, Giuseppe Basso, Dworzak, Michael N., Angela Schumich, Schrappe, Martin, Gaipa, Giuseppe, Jean-Pierre Bourquin, null null, Mann, Georg, Rosenthal, Eti, Schumich, Angela, et al, Eti Rosenthal, Karawajew, Leonid, Michael N. Dworzak   +40 more
core   +1 more source

Cytoflow: User‐Friendly Python Software for Computational Flow Cytometry

Cytometry Part A, EarlyView.
ABSTRACT Modern flow cytometry experiments routinely measure 18 or more fluorescent markers across many samples, patients, and tissues. As these experiments' complexity increases, manual gating becomes unacceptably inefficient and can introduce operator‐to‐operator variation. Computational cytometry algorithms such as unsupervised clustering, automated
Leah Teague
wiley   +1 more source

High‐Dimensional Spectral Flow Cytometry Panel for Immunophenotypic Characterization of Fixed Whole Blood Samples

Cytometry Part A, EarlyView.
ABSTRACT Peripheral blood mononuclear cells (PBMCs) are commonly used for immune profiling in clinical research, but their isolation and cryopreservation present logistical challenges, particularly in settings with limited access to research facilities. To address this, we implemented a whole blood fixation protocol to preserve surface protein epitopes
Vaishnavi Parthasarathy, Alexander T. Heubeck, Tyanna Stuckey, Veronica Hernandez, Blessing Musgrove, Maia M. Bennett‐Boehm, Troy Torgerson, Peter Skene, Julian Reading   +8 more
wiley   +1 more source

A Robust Computational Workflow Utilizing Generalized Least Squares (GLS) and Generalized Estimating Equations (GEE‐GLM) for Longitudinal Flow Cytometry Maturation Data Analysis

Cytometry Part A, EarlyView.
ABSTRACT Routinely used statistical hypothesis tests are often inadequate for longitudinal flow cytometry data, necessitating more sophisticated modeling approaches. Analyzing dynamic biomarker expression across hematopoietic maturation presents several analytical challenges, notably nonlinearity, serial correlation between subsequent stages, and ...
Sixuan Joanna Wang, Ruben Deneer, Tom Schoenmakers, Stefan G. C. Mestrum, Yvonne M. C. Henskens, Otto Bekers, Anton H. N. Hopman, Frans C. S. Ramaekers, Mathie P. G. Leers   +8 more
wiley   +1 more source

Flow cytometry‐based monitoring of chimeric antigen receptor (CAR) T cells: Reagent selection, assay design, and clinical utility

Cytometry Part B: Clinical Cytometry, EarlyView.
Abstract Accurate quantification of chimeric antigen receptor (CAR) T cells is essential for monitoring post‐infusion CART expansion and persistence and for real‐time clinical decision‐making. Multiparameter flow cytometry (MFC) enables rapid, live‐cell detection with absolute quantification and concurrent immunophenotypic characterization. This review
Jianhua Ling, Wei Wang, Sa A. Wang
wiley   +1 more source

Prognostic value of postinduction medullary myeloid recovery by flow cytometry in acute myeloid leukemia

eJHaem
Risk stratification and treatment response evaluation are key features in acute myeloid leukemia (AML) management. Immunophenotypic and molecular approaches all rely on the detection of persisting leukemic cells by measurable residual disease techniques.
Céline Row, Nicolas Lechevalier, Jean Philippe Vial, Aguirre Mimoun, Jean Noel Bastie, Ingrid Lafon, Arnaud Pigneux, Thibaut Leguay, Mary Callanan, Marc Maynadie, Marie C. Béné, Pierre Yves Dumas, Julien Guy   +12 more
doaj   +1 more source

Establishment of pediatric reference ranges for circulating naïve and memory T and B cell subsets guided by the human immunophenotyping consortium standardization initiative: A large, single center U.S. experience

Cytometry Part B: Clinical Cytometry, EarlyView.
Abstract Our knowledge of the immune system continues to expand at a rapid pace, and this coupled with technological advances now enables us to interrogate both the breadth and the depth of the immune response at levels without precedent. This has also facilitated rapidly integrating some of this carefully vetted knowledge into clinical practice ...
Aaruni Khanolkar, Aisha Ahmed
wiley   +1 more source

Automated B‐cell and plasma cell identification using unsupervised clustering by FlowSOM and an excel‐based classification model

Cytometry Part B: Clinical Cytometry, EarlyView.
Abstract Manual gating for plasma cell (PC) identification in multiparametric flow cytometry (MFC) is time‐consuming and operator‐dependent, especially when PCs are scarce. Artificial intelligence approaches such as unsupervised clustering (e.g., FlowSOM) map high‐dimensional data that still require expert interpretation.
Ethan James Gantana, Ernest Musekwa, Erica‐Mari Nell, Zivanai Cuthbert Chapanduka   +3 more
wiley   +1 more source