Results 91 to 100 of about 378,865 (268)
A model of morphogenesis [PDF]
A new suggestion for pattern formation in biological systems is proposed. The interaction of two signaling pathways provides complex patterning. The interaction of two pathways involves few of the biochemical complexities of the pathways. The 'Wnt' pathway is proposed to be one of these, in interaction with others, one at a time, perhaps sequentially ...
openaire +2 more sources
A sprayable near‐infrared‐activated nanoplatform incorporating MXene, ZnHCF nanozyme, and deferoxamine efficiently breaks the vicious cycle of diabetic wounds. Upon irradiation, interfacial electron transfer and photothermal effects enhance multi‐enzyme activity, enabling explosive ROS elimination, alleviation of hypoxia, and controlled DFO release ...
Jiahao Guo +5 more
wiley +1 more source
STransformer is a unified deep learning framework designed to seamlessly accommodate a comprehensive landscape of spatial data. By simultaneously capturing short‐range cellular interactions and tissue‐wide semantic patterns, it extracts robust representations to accurately dissect complex tissue heterogeneity.
Xingyi Li +9 more
wiley +1 more source
ABSTRACT Vascularization remains a major obstacle in tissue engineering. Here, we introduce a bioprinting strategy to generate centimeter‐scale, self‐organizing “mother vessel” constructs from iPSC‐derived hiMPCs. By optimizing bioink composition, printing was accomplished in a single‐step approach. Within one week, hiMPCs differentiated into both CD31+
Leyla E. Dogan +5 more
wiley +1 more source
Thyroid hormone (T3) affects development and metabolism in vertebrates. We have been studying intestinal remodeling during T3-dependent Xenopus metamorphosis as a model for organ maturation and formation of adult organ-specific stem cells during ...
Liezhen Fu +5 more
doaj +1 more source
CauFinder: Steering Cell‐State and Phenotype Transitions by Causal Disentanglement Learning
CauFinder combines causal disentanglement modeling and network control to prioritize causal drivers of cell‐state transitions from observational transcriptomic data. The framework separates transition‐relevant signals from spurious associations, nominates intervention targets across biological and disease contexts, and identifies DAAM1 as an actionable
Chengming Zhang +11 more
wiley +1 more source
Decoupling biological signals from unwanted variation in multi‑condition single‑cell RNA sequencing data remains challenging. CAPER disentangles condition‑associated biological effects from sample heterogeneity through matrix factorization, producing interpretable latent factors and a batch‑corrected expression matrix.
Ye Li +6 more
wiley +1 more source
This study shows that in glioma stem cells (GSCs), RBM12 recruits ALKBH5 to remove m6A from SLC7A5 transcripts, thereby enhancing mRNA stability, which elevates large neutral amino acid (LNAA) levels and activates mTORC1, promoting GSC proliferation, self‐renewal, and tumor growth.
Hong Lei +18 more
wiley +1 more source
Glucose deprivation in the primary CNS lymphoma (PCNSL) tumor microenvironment drives SLC2A5 (encoding GLUT5)‐dependent fructose metabolism in tumor cells, while hypoxia induces HIF‐mediated SLC2A5 expression in tumor‐supportive macrophages, revealing SLC2A5‐driven fructose utilization as a shared and targetable metabolic vulnerability across malignant
Qiaoli Wu +13 more
wiley +1 more source

