The multifaceted roles of B lymphocytes in metabolic dysfunction-associated steatotic liver disease. [PDF]
Li H, Xia N.
europepmc +1 more source
CSPG4 is identified as a high‐value, stemness‐associated target in HPV‐negative HNSCC. By implementing rational biophysical engineering, a humanized and charge‐optimized CAR is developed to overcome tonic signaling‐induced exhaustion. This strategy induces a profound transcriptomic shift toward a rejuvenated, stem‐like memory state, significantly ...
Xiang Xu +13 more
wiley +1 more source
Subpopulation dynamics of T and B lymphocytes in Sjögren's syndrome: implications for disease activity and treatment. [PDF]
Meng Q, Ma J, Cui J, Gu Y, Shan Y.
europepmc +1 more source
The targeting of human and mouse B lymphocytes by dasatinib
Morten P. Oksvold +7 more
openalex +2 more sources
Serial monitoring of immunologic function and phenotype of lymphocytes in the blood of transplanted patients randomized to cyclosporine or FK 506 [PDF]
Abu-Elmagd, K +9 more
core
DADA Enhances CD8+ T Cell Stemness to Improve Anti‐Tumor Immunity and Immunotherapy Efficacy
Diisopropylamine dichloroacetate (DADA) enhances CD8+ T cell stemness by improving OXPHOS and mitochondrial fitness in a PDK1‐depenpendent manner. This metabolic shift strengthens CD8+ T cell anti‐tumor immunity, improves responses to PD‐1 blockade, and endows CAR‐T cells with prolonged persistence and resistance to terminal exhaustion, highlighting a ...
Mingyue Bi +12 more
wiley +1 more source
Citrullinated Autoantigen-Specific T and B Lymphocytes in Rheumatoid Arthritis: Focus on Follicular T Helper Cells and Expansion by Coculture. [PDF]
Ammon T +5 more
europepmc +1 more source
This study delineates macrophage heterogeneity along the acute kidney injury to chronic kidney disease transition. Single‐cell RNA sequencing reveals a TRAP5+ scar‐associated macrophage subset driven by Spp1–Cd44 signaling and mitochondrial metabolic reprogramming.
Chenxi Wang +13 more
wiley +1 more source
A tumor-infiltrating B lymphocytes -related index based on machine-learning predicts prognosis and immunotherapy response in lung adenocarcinoma. [PDF]
Fang J +8 more
europepmc +1 more source

