Results 191 to 200 of about 2,385,970 (309)
Total Synthesis of (-)-Neocucurbol C Enabled by Pattern Recognition and MHAT Cyclization. [PDF]
Zhong LP +8 more
europepmc +1 more source
Development of therapies targeting cancer‐associated fibroblasts (CAFs) necessitates preclinical model systems that faithfully represent CAF–tumor biology. We established an in vitro coculture system of patient‐derived pancreatic CAFs and tumor cell lines and demonstrated its recapitulation of primary CAF–tumor biology with single‐cell transcriptomics ...
Elysia Saputra +10 more
wiley +1 more source
Pattern recognition receptors and inflammasome: Now and beyond. [PDF]
Oh S, Choi YK, Lee S.
europepmc +1 more source
Dual targeting of RET and SRC synergizes in RET fusion‐positive cancer cells
Despite the strong activity of selective RET tyrosine kinase inhibitors (TKIs), resistance of RET fusion‐positive (RET+) lung cancer and thyroid cancer frequently occurs and is mainly driven by RET‐independent bypass mechanisms. Son et al. show that SRC TKIs significantly inhibit PAK and AKT survival signaling and enhance the efficacy of RET TKIs in ...
Juhyeon Son +13 more
wiley +1 more source
Total Syntheses of Sappanin-Based Natural Products Enabled by Pattern Recognition Analysis and Brominative Aromatization. [PDF]
Zhao WT, Liang JY, Wu YK.
europepmc +1 more source
A cyber process control system based on pattern recognition and cloud computing
Amr Mohamed Ali +3 more
openalex +1 more source
The noncoding region of the genome plays a key role in regulating gene expression, and mutations within these regions are capable of altering it. Researchers have identified multiple functional noncoding mutations associated with increased cancer risk in the genome of breast cancer patients.
Arnau Cuy Saqués +3 more
wiley +1 more source
Elongator is required for pattern recognition receptor and type I interferon signaling in macrophages. [PDF]
Murphy J +6 more
europepmc +1 more source
We developed and validated a DNA methylation–based biomarker panel to distinguish pleural mesothelioma from other pleural conditions. Using the IMPRESS technology, we translated this panel into a clinically applicable assay. The resulting two classifier models demonstrated excellent performance, achieving high AUC values and strong diagnostic accuracy.
Janah Vandenhoeck +12 more
wiley +1 more source

