Results 151 to 160 of about 360,741 (311)
Differential Expression Profiles of Plasma Exosomal microRNAs in Rheumatoid Arthritis
Xiaoke Yang,* Zhixin Wang,* Mingming Zhang, Zongwen Shuai Department of Rheumatology and Immunology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, People’s Republic of China*These authors contributed equally to this
Yang X, Wang Z, Zhang M, Shuai Z
doaj
We propose the Full‐Body AI Agent, a multi‐scale collaborative framework with 7 biological‐layer agents. It unifies multi‐omics/clinical data via standardized protocols, enabling phenotype‐guided closed‐loop reasoning, quantitative evaluation, and LLM safeguards, with promising applications in tumor metastasis modeling and precision drug development ...
Aoqi Wang +11 more
wiley +1 more source
sEVs‐circ6718 serves as a promising serum biomarker for gastric cancer early diagnosis and prognosis, promoting malignant transformation in gastric cancer cells and GC‑MSC differentiation into CAFs. sEVs‑circ6718 holds potential as a biomarker for the early diagnosis and prognostic assessment of gastric cancer.
Fan Zhang +7 more
wiley +1 more source
Hepatocellular carcinoma (HCC)‐derived extracellular vesicles (EVs) enrich the metabolic enzyme ATP‐citrate lyase (ACLY). EV‐transferred ACLY enhances palmitate biosynthesis, increases the S‐palmitoylation and stability of multiple immune checkpoint proteins, augments the cellular immunosuppressive activity, and ultimately accelerates the malignant ...
Zhijun Liu +11 more
wiley +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Producing MSCs on rigid culture substrates induces a scar‐making phenotype, jeapordizing therapeutic success. ‘Tissue‐soft’ surfaces prevent MSC fibrogenesis and preserve regenerative traits. An epigenetic network, driven by HOXA11 and SALL1, maintains ‘soft memory’ by keeping chromatin open in relaxed MSCs, promoting anti‐fibrotic programs.
Fereshteh Sadat Younesi +7 more
wiley +1 more source
MiR-103a-3p targets the 5\u27 UTR of GPRC5A in pancreatic cells. [PDF]
MicroRNAs (miRNAs) are short noncoding RNAs that regulate the expression of their targets in a sequence-dependent manner. For protein-coding transcripts, miRNAs regulate expression levels through binding sites in either the 3\u27 untranslated region (3 ...
Rigoutsos, Isidore, Zhou, Honglei
core +1 more source
Mesenchymal stromal cells (MSCs) show promise for treating immune‐related disorders through immunomodulation and tissue regeneration. This review gives a brief overview of current clinical approval of MSC therapies. It also discussed how bioengineering, including genetic modification, biomaterial delivery, extracellular vesicles, and iPSC‐derived MSCs,
Sichen Yang +6 more
wiley +1 more source
The \u3cem\u3emir-51\u3c/em\u3e Family of MicroRNAs Functions in Diverse Regulatory Pathways in \u3cem\u3eCaenorhbditis elegans\u3c/em\u3e [PDF]
The mir-51 family of microRNAs (miRNAs) in C. elegans are part of the deeply conserved miR-99/100 family. While loss of all six family members (mir-51-56) in C. elegans results in embryonic lethality, loss of individual mir-51 family members results in a
Abbott, Allison L. +2 more
core +1 more source
ABSTRACT The muscle capsule of Trichinella is a critical structure that impedes immune attacks and drug penetration, yet the molecular mechanisms underlying its formation remain poorly understood. Using a high‐quality super‐pangenome comprising 12 Trichinella species, we compared extensive genomic variations between encapsulating and non‐encapsulating ...
Qingbo Lv +8 more
wiley +1 more source

