Results 91 to 100 of about 634,483 (306)
Paternal Circadian Disruption Impairs Offspring Cognition via Sperm microRNAs
Paternal circadian disruption remodels the sperm small RNA payload, elevating miR‐92a‐3p/miR‐25‐3p levels and perturbing early embryonic gene regulatory programs. Microinjection experiments and single‐embryo transcriptomics reveal sex‐specific developmental vulnerabilities, ultimately impairing offspring hippocampal synaptic plasticity and cognition ...
Kexin Zou +22 more
wiley +1 more source
This review highlights recent advancements in stabilizing single metal atoms on graphitic carbon nitride emphasizing innovative synthesis strategies and emerging applications in electrocatalysis, photocatalysis and organic transformations, along with key challenges and future perspective. Abstract Emerging as a new frontier in catalysis science, single‐
Wenyao Zhang +6 more
wiley +1 more source
Balance of international payments in 1954-55 [PDF]
International trade ; Balance of ...
anonymous
core
Model of circNrip1 (cNrip1) upregulation driving neuropathic pain mechanisms. After peripheral nerve injury, increased FUS triggers the formation and upregulation of cNrip1 in injured DRG neurons. Upregulated cNrip1 recruits SYNCRIP to the 3′‐UTR of Tlr2 mRNA by binding to both, thereby promoting SYNCRIP‐triggered Tlr2 mRNA stability and increasing ...
Xiaozhou Feng +14 more
wiley +1 more source
Molecular Glue cc‐885 Inhibits VHL‐Deficient Clear Cell Renal Cell Carcinoma via ETS1 Degradation
VHL‐deficient kidney cancer lacks effective treatments. This study reveals that the molecular glue degrader cc‐885 hijacks the cellular recycling system to selectively destroy the oncogenic protein ETS1, effectively killing VHL‐mutant tumors. Combining CC‐885 with the approved drug belzutifan achieves powerful synergy, offering a promising new ...
Taowei Yang +15 more
wiley +1 more source
The balance of payments adjustment process in Taiwan, Republic of China [PDF]
Taiwan ; Balance of ...
Fai-Nan Perng
core
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

