Results 141 to 150 of about 60,576 (307)
Integration of biotechnologies for rubber tree improvement. What about rootstock clones ?
Breeding and dissemination of planting material for rubber plantations are closely linked to propagation methods. Since the progress made by shifting from multiplication by seed to propagation by budding, the development of new techniques, such as ...
Carron, Marc-Philippe +6 more
core
The Shape of the Trade-Off Function Between Reproduction and Future Performance in \u3cem\u3ePlantago major\u3c/em\u3e and \u3cem\u3ePlantago rugelii\u3c/em\u3e [PDF]
There is a paucity of data describing the nature of the trade-off function between reproduction and future performance. Most studies implicitly assume it is a linear function such that allocation of resources to reproduction results in a proportional ...
Baltzer, Jennifer L. +2 more
core +1 more source
Haplotype‐Resolved 3D Genomic Landscapes and Their Impacts on Agronomic Traits in Grapevine
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
This study identifies FXYD1 as an epigenetically silenced tumor suppressor in breast cancer. DNA methylation turns off the gene FXYD1 in breast cancer, and low levels predict worse outcomes. Restoring FXYD1 limits breast cancer cells proliferation and metastasis. In the nucleus, FXYD1 recruits the E3 ligase MAEA to K63‐ubiquitinate DDX5 for proteasomal
Ping Wen +11 more
wiley +1 more source
Microcutting is one of in vitro plant propagation methods and has been developed for rubber (Hevea brasiliensis) by using axillary buds from young seedlings as explant sources.
Carron, Marc-Philippe +4 more
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
Enhancing CAR‐T Cell Efficacy in Solid Tumors by Inhibiting CCL5/VEGF‐Mediated Angiogenesis
This study reveals that CAR‐T cells in solid tumors produce CCL5, which paradoxically induces VEGF and angiogenesis to promote tumor growth. Blocking CCL5/VEGF signaling—through gene knockout, or the CCR5 inhibitor maraviroc—significantly enhances the antitumor efficacy of CAR‑T therapy (the diagram was created in Biorender).
Shishuo Sun +15 more
wiley +1 more source
Impacts of reproductive systems on grapevine genome and breeding
Diversified reproductive systems can be observed in the plant kingdom and applied in crop breeding; however, their impacts on crop genomic variation and breeding remain unclear.
Hua Xiao +17 more
doaj +1 more source
ABSTRACT The E3 ubiquitin ligase tripartite motif 27 (TRIM27) is a negative regulator of NF‐κB activation and the innate immune response, and TRIM27 deficiency significantly impairs dextran sulfate sodium (DSS)‐induced colitis. The function of TRIM27 in intestinal epithelial cells (IECs), the mechanism by which TRIM27 inhibits the NF‐κB pathway and its
Weimin Xu +10 more
wiley +1 more source
CTBPro is a next‐generation cholera toxin B–based tracer engineered by fusing CTB to the ultra‐stable fluorescent protein mBaojin. Exhibiting markedly enhanced molar brightness, CTBPro enables high‐fidelity neuronal labeling across multiple administration routes.
Xinghua Quan +12 more
wiley +1 more source

