Results 211 to 220 of about 419,552 (297)

Enhancement of T-cell-depleted bone marrow allografts in the absence of graft-versus-host disease is mediated by CD8+ CD4- and not by CD8- CD4+ thymocytes [PDF]

, 1992
Tair Lapidot, Y Faktorowich, Ido Lubin, Yaīr Reisner   +3 more
openalex   +1 more source

Reprogramming CD8+ T-cell Branched N-Glycosylation Limits Exhaustion, Enhancing Cytotoxicity and Tumor Killing. [PDF]

Cancer Immunol Res
Azevedo CM, Xie B, Gunn WG, Peralta RM, Dantas CS, Fernandes-Mendes H, Joshi S, Dean V, Almeida P, Wilfahrt D, Mendes N, Portero JL, Poves C, Fernández-Aceñero MJ, Marcos-Pinto R, Fernandes Â, Delgoffe GM, Pinho SS.   +17 more
europepmc   +1 more source

Single‐Cell Transcriptome Analysis Reveals That Hmga2 Regulates Neuroinflammation and Retinal Function by Modulating Müller Cell Autophagy Through PI3K/AKT Signaling Following MCAO‐Induced Retinal Ischemia

Advanced Science, EarlyView.
Employing snRNA‐seq post‐MCAO‐induced retinal ischemia (RI), this study revealed a novel Hmga2‐high Müller cell subpopulation. Hmga2 knockout alleviated neuroinflammation and RI symptoms, potentially by binding PI3K and regulating Müller cell autophagy.
Weihao Lv, Juzheng Yuan, Zhe Ruan, Ya‐nan Dou, Hongchen Zhang, Xiaowei Fei, Leiying Chen, Zehan Zhang, Kai Yang, Xiuquan Wu, Zhou Fei, Fei Fei   +11 more
wiley   +1 more source

Recovery from chronic rotavirus infection in mice with severe combined immunodeficiency: virus clearance mediated by adoptive transfer of immune CD8+ T lymphocytes

, 1990
Tararaj Dharakul, L S Rott, Harry B. Greenberg   +2 more
openalex   +1 more source

Peripheral nerve injury-induced remodeling of the tumor-associated macrophages promotes immune evasion in breast cancer. [PDF]

J Exp Clin Cancer Res
Jiang Y, Zeng W, Feng Y, Deng X, Wang J, Liu H, Gao B, Bi D, Liu Z, Yang C, Chen M, Li T, Chen H, Zhang Y, Liang L, Xu J, Deng W, Yao Z, Wu W, Lao L, Chen J, Huang P.   +21 more
europepmc   +1 more source

A Nanomodulator Enhances Radiotherapy‐Induced In Situ Cancer Vaccine by Promoting Antigen‐Presenting of Tumor‐Associated Macrophage

Advanced Science, EarlyView.
A nanomodulator (Ft‐E64/Hf@Lipo) is developed, combining radiosensitizer hafnium (Hf) and the cysteine protease inhibitor E64, which cooperatively reinvigorated the antigen presentation of TAMs. Ft‐E64/Hf@Lipo sensitized‐RT generated abundant tumor neoantigens, and then E64/antigens, along with the apoptotic tumor cells, trafficked to TAMs via ...
Xiu Zhao, Mengli Li, Jun Li, Yueying Han, Yu Gong, Zhenzhong Zhang, Jinjin Shi, Cheng‐Yun Jin, Junjie Liu, Pilei Si   +9 more
wiley   +1 more source

Selective depletion of CD8+ T lymphocytes for prevention of graft- versus-host disease after allogeneic bone marrow transplantation [PDF]

, 1990
Richard E. Champlin, W. G. Ho, J. Gajewski, StephenA. Feig, M. Burnison, G Holley, Peter Greenberg, K Lee, Irene Schmid, J. Giorgi   +9 more
openalex   +1 more source

Sanggenol L Enhances Temozolomide Drug Sensitivity by Inhibiting Mitophagy and Inducing Apoptosis Through the Regulation of the TRIM16‐OPTN Axis in Glioblastoma

Advanced Science, EarlyView.
Sanggenol L, a flavonoid from mulberry, enhances glioblastoma sensitivity to temozolomide by inhibiting mitophagy and inducing apoptosis through TRIM16‐mediated OPTN degradation. In animal studies, liposomal delivery of Sanggenol L significantly improves the efficacy of its combination with TMZ, providing new insights into glioblastoma treatment ...
Hongbo Chang, Jianbing Hou, Xin Hu, Nana Hou, Minghao Xu, Yi Du, Jingyang Xu, Yongzhao Wang, Zhuohao Xie, Junbo Shi, Yundong Zhang, Hongjuan Cui   +11 more
wiley   +1 more source

T cell dysregulation reflects disease stage in hepatitis virus and alcohol-related liver disease. [PDF]

Sci Rep
Niehaus C, Chou YH, Lickei H, Lietzau A, Souleiman R, Maasoumy B, Wedemeyer H, Falk CS, Kraft ARM, Cornberg M.   +9 more
europepmc   +1 more source

CellPhenoX: An Explainable Machine Learning Method for Identifying Cell Phenotypes To Predict Clinical Outcomes from Single‐Cell Multi‐Omics

Advanced Science, EarlyView.
CellPhenoX is an explainable machine learning framework that identifies cell‐specific phenotypes and interaction effects from single‐cell omics data. By leveraging interpretable models, it enables robust discovery of cell‐level phenotypes that contribute to clinical outcomes.
Jade Young, Jun Inamo, Zachary Caterer, Revanth Krishna, Fan Zhang   +4 more
wiley   +1 more source