Results 111 to 120 of about 113,188 (264)
Comparison of Tissue Preparations to Identify and Phenotype T Cells in Human Colorectal Tumor Tissue
ABSTRACT Archived patient samples (e.g., formalin‐fixed paraffin embedded (FFPE) tissue blocks, cryoembedded tissue blocks, and frozen whole tissue samples) are a source of immune information for which corresponding patient data is often collected.
Justin F. Tirados +5 more
wiley +1 more source
Ultrasound priming gated by solid tumor hallmarks to guide CAR-T therapy. [PDF]
Guo T +20 more
europepmc +1 more source
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
Truncated CD19 as a selection marker for the isolation of stem cell-derived β-cells
Luo Ting Huang +8 more
doaj +1 more source
CAR-T cell therapy has revolutionized the treatment of hematologic malignancies. Nevertheless, significant challenges remain, particularly concerning its severe adverse effects. Extracellular vesicles (EVs) emerged as promising therapeutic agents due to
P. Lanuti +33 more
doaj
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
Dual-target CAR-T cell therapy: latest updates from the 2025 ASH annual meeting. [PDF]
Feng S, Kong R, Xiao L, Zhou X.
europepmc +1 more source
Abstract Flow cytometry is an essential component of routine hematological lab testing. Many computational methods have been proposed for the analysis of flow cytometry data, but most have focused on supervised learning for just one or a few specific disorders.
Brendan O'Fallon +4 more
wiley +1 more source

