Results 171 to 180 of about 554,772 (269)
In the pathological state of PD induced by MPP+, the upregulated PRMT9 in dopaminergic neurons translocates into mitochondrion and interacts with DUSP26 and catalyzes its arginine methylation, leading to the ubiquitin‐proteasomal degradation of DUSP26 mediated by Trim32.
Tengfei Liu +13 more
wiley +1 more source
Opinion: a call for safe therapeutic and gastric interventions for adolescents and young adults with obesity and transplant-indicated leukemia. [PDF]
Garcia MB +5 more
europepmc +1 more source
This study utilized alloy micro‐galvanic coupling design to regulate the release of essential elements, thereby programming immune responses and promoting regeneration. The sacrificial anodic process of Zn‐0.8Mg reduced Zn2+ release compared to the “large cathode‐small anode” coupling of Zn‐0.8Fe.
Chaoyang Sun +14 more
wiley +1 more source
Oral Leukemia Cutis and Facial Sweet's Syndrome Associated with Acute Myeloid Leukemia.
Manzone SZ +5 more
europepmc +1 more source
Clinico-Hematological and Immunophenotypic Profile of Leukemia Patients at a Tertiary Care Center in Jharkhand, India: A Cross-Sectional Study. [PDF]
Shome A, Paswan MK, Jamaiyar A, Shome A.
europepmc +1 more source
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta +3 more
wiley +1 more source
Peripherally inserted central venous catheters for remission induction chemotherapy phase of acute leukemia: a single center experience in severely thrombocytopenic patients. [PDF]
Picardi M +8 more
europepmc +1 more source
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source

