Results 271 to 280 of about 1,067,293 (391)

Endothelial BMP6 Drives Hemodynamic‐Dependent VSMCs Calcification in Carotid Atherosclerosis

Advanced Science, EarlyView.
The study demonstrates that endothelial cell (EC)‐derived BMP6 promotes the osteogenic differentiation of vascular smooth muscle cells (VSMCs) through cell‐cell interactions. Additionally, the researchers preliminarily explore the driving effect of hemodynamic factors on BMP6‐induced calcification and reveal the regulatory role of KLF4 on BMP6.
Shen Li, Shuang Cao, Peipei Li, Feng Zhang, Gangfeng Ren, Xin Wang, Jiawei Zhao, Chen Liu, Yuan Gao, Jie Xu, Yongjun Wang, Zongping Xia, Yuming Xu   +12 more
wiley   +1 more source

Acquisition of an immunosuppressive microenvironment after anti-CD19 CAR T-cell therapy is associated with T-cell dysfunction and resistance. [PDF]

J Immunother Cancer
Ponzo M, Drufuca L, Buracchi C, Sindoni MM, Nucera S, Bugarin C, Bason R, Rossetti G, Bonnal R, Meli C, Rambaldi B, Lussana F, Ferrari S, Moretti A, Dastoli G, Risca G, Pellegrino C, Manz MG, Galimberti S, Rambaldi A, Gaipa G, Biondi A, Pagani M, Magnani CF.   +23 more
europepmc   +1 more source

Treatment of acute myeloid leukemia of adults with cytosine arabinoside in combination with 6-mercaptopurine [PDF]

, 1973
John G. Buchanan, John Matthews, Jerry Davison, R R Grigor, T. P. CASEY   +4 more
openalex   +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

Single-cell atlas of human pediatric liver reveals age-related hepatic gene signatures. [PDF]

Hepatol Commun
Edgar RD, Nakib D, Camat D, Chung S, Lumanto P, Atif J, Perciani CT, Ma XZ, Thoeni C, Selvakumaran N, Manuel J, Sayed B, Huysentruyt K, Ricciuto A, McGilvray I, Avitzur Y, Bader GD, MacParland SA.   +17 more
europepmc   +1 more source

Enasidenib in mutant IDH2 relapsed or refractory acute myeloid leukemia.

Blood, 2017
E. Stein, C. Dinardo, D. Pollyea, A. Fathi, G. Roboz, J. Altman, R. Stone, D. DeAngelo, R. Levine, I. Flinn, H. Kantarjian, R. Collins, M. Patel, A. Frankel, A. Stein, M. Sekeres, R. Swords, B. Medeiros, C. Willekens, P. Vyas, A. Tosolini, Qiang Xu, R. Knight, K. Yen, S. Agresta, S. de Botton, M. Tallman   +26 more
semanticscholar   +1 more source

Involvement of the erythroid series in acute myeloid leukemia [PDF]

, 1979
Elke Beutler, Clark D. West, Craig Johnson   +2 more
openalex   +1 more source

Deacetylation of ACLY Mediates RNA M6A‐Modification of NOXA and Promotes Chemoresistance of Colorectal Cancer

Advanced Science, EarlyView.
This study investigates the deacetylation of ACLY at K978 acts as a novel risk in colorectal cancer chemoresistance. The deacetylation of K978 induces ACLY relocation to the nucleus and promotes its binding to RBM15, a m6A methylation modification “writer”.
Jun Wen, Mengqin Shen, Haitao Zhao, Liu Liu, Qian Hua, Xiaoping Zhao, Jianjun Liu, Haizhong Feng, Gang Huang   +8 more
wiley   +1 more source

Splenomegaly in de novo acute myeloid leukemia is associated with ASXL1 mutations together with a distinct clinical and gene expression profile. [PDF]

Biomark Res
Tarantini F, Coccaro N, Cumbo C, Redavid I, Anelli L, Zagaria A, Parciante E, Conserva MR, Tota G, Minervini CF, Minervini A, Caratozzolo MF, Marzano F, Telegrafo C, Balech B, Mestice A, Gagliardi VP, Delia M, Carluccio P, Macchia MG, Tullo A, Specchia G, Musto P, Albano F.   +23 more
europepmc   +1 more source

Myeloid Leukosis (J-virus) - An International Broiler Industry Concern

, 1969
Gary D. Butcher, R.D. MILES
openalex   +2 more sources