Results 191 to 200 of about 3,299,272 (314)

Small Extracellular Vesicles‐Derived Circ6718 Unlocks Stromal Remodeling and Serves as a Biomarker in Gastric Cancer

open access: yesAdvanced Science, EarlyView.
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

Gender-responsive climate information services in agrifood systems

open access: yes
Climate variability and extreme weather events pose significant threats to agrifood systems worldwide. Thus, reliable and timely climate information services (CIS) are critical for farmers to make informed decisions, mitigate risks and adapt to climate ...
CGIAR GENDER Impact Platform
core  

Single‐Cell Dissection of Tumor‐Infiltrating Lymphocytes Reveals Cellular Architecture Predictive of Therapeutic Efficacy in Acral Melanoma

open access: yesAdvanced Science, EarlyView.
Autologous tumor‐infiltrating lymphocyte (TIL) therapy shows promising efficacy in acral melanoma, yet determinants of durable response remain unclear. By integrating single‐cell transcriptomics and TCR sequencing, this study reveals that TIL products enriched for T follicular helper and intermediate exhausted T cells establish persistent clonal ...
Chao Zhang   +12 more
wiley   +1 more source

Haplotype‐Resolved 3D Genomic Landscapes and Their Impacts on Agronomic Traits in Grapevine

open access: yesAdvanced Science, EarlyView.
This study presents a haplotype‐resolved 3D genomic landscape of grapevine, revealing that structural variations (SVs) are closely associated with phased topologically associating domain (TAD) boundary transitions. These rearrangements coordinate with allele‐specific DNA methylation (ASM) and allele‐biased gene expression (ASE) to shape key agronomic ...
Yanling Peng   +18 more
wiley   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
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

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