Results 211 to 220 of about 1,836 (281)

A biomimetic branching signal-passing tile assembly model with dynamic growth and disassembly. [PDF]

J R Soc Interface
Fu D, Reif J.
europepmc   +1 more source

SAGE: Spatially Aware Gene Selection and Dual‐View Embedding Fusion for Domain Identification in Spatial Transcriptomics

Advanced Science, EarlyView.
SAGE is a unified framework for spatial domain identification in spatial transcriptomics that jointly models tissue architecture and gene programs. Topic‐driven gene selection (NMF plus classifier‐based scoring) highlights spatially informative genes, while dual‐view graph embedding fuses local expression and non‐local functional relations.
Yi He, Yunpei Xu, Liqing Ding, Hong‐Dong Li, Yaohang Li, Shaokai Wang   +5 more
wiley   +1 more source

Integrating Dynamical Systems Modeling with Spatiotemporal scRNA-Seq Data Analysis. [PDF]

Entropy (Basel)
Zhang Z, Sun Y, Peng Q, Li T, Zhou P.
europepmc   +1 more source

Overcoming PEG Antigenicity: Statistical PEG Isomers Reduce Antibody Binding

Advanced Science, EarlyView.
Conventional poly(ethylene glycol) (PEG) is commonly applied in biomedicine, but is now known to induce antibody formation. Here, it is shown that the development of “randomized PEG” (rPEG) featuring glycidyl methyl ether (GME) comonomers decreased antibody binding.
Mareike Deuker, Dominik Schulz, Kaloian Koynov, Svenja Morsbach, Holger Frey, Katharina Landfester   +5 more
wiley   +1 more source

Minimum and extremal process for a branching random walk outside the boundary case

Xinxin Chen, Haojie Hou
openalex   +1 more source

A Subset of Pro‐inflammatory CXCL10+ LILRB2+ Macrophages Derives From Recipient Monocytes and Drives Renal Allograft Rejection

Advanced Science, EarlyView.
This study uncovers a recipient‐derived monocyte‐to‐macrophage trajectory that drives inflammation during kidney transplant rejection. Using over 150 000 single‐cell profiles and more than 850 biopsies, the authors identify CXCL10+ macrophages as key predictors of graft loss.
Alexis Varin, Jovanne Palvair, Lennie Messager, Jamal Bamoulid, Jasper Callemeyn, Mélanie Chaintreuil, Ludivine Dal Zuffo, Didier Ducloux, Imane Farhat, Mathieu Legendre, Laurent Martin, Florian Renosi, Xavier Roussel, Thibaut Vaulet, Maarten Naesens, Claire Tinel, Baptiste Lamarthée   +16 more
wiley   +1 more source

Generation of a Compendium of Transcription Factor Cascades and Identification of Potential Therapeutic Targets Using Graph Machine Learning. [PDF]

Genes (Basel)
Sivarajkumar S, Roy R, Tandale P, Bhardwaj A, Johnson KW, Titus A, Glicksberg BS, Khader S, Yadav KK, Subramanian L.   +9 more
europepmc   +1 more source

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

Advanced 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, Wanyi Xiao, Hongru Shen, Fenge Li, Ting Li, Weihong Zhang, Haotian Liu, Ziwei Gao, Hongyu Wang, Xiubao Ren, Kexin Chen, Xiangchun Li, Jilong Yang   +12 more
wiley   +1 more source

Versatile DNA Hydrogel‐Mediated Delivery of Ginsenoside‐Encapsulated Small Extracellular Vesicles to Boost Diabetic Wound Repair

Advanced Science, EarlyView.
This study presents a DNA hydrogel‐mediated delivery system, in which ginsenoside (GS) molecules are incorporated into small extracellular vesicles (sEV) secreted by mesenchymal stem cells (MSCs) and the formed complexes are then anchored in DNA hydrogels via aptamer‐CD63 affinity as “GS/sEV@DNAgels”, to improve diabetic wound repair.
Jianming Xing, Shuangyang Li, Yuning Wang, Xushuang Jia, Ruiting Lin, Xintong Liu, Dongxu Wang, Ning Cui, Peng Ji, Jiaqi Chen, Shengnian Wang, Guangzhe Li, Ye Teng, Da Liu, Ye Jin   +14 more
wiley   +1 more source

The cell as a token: high-dimensional geometry in language models and cell embeddings. [PDF]

Bioinformatics
Gilpin W.
europepmc   +1 more source