Results 131 to 140 of about 7,625,042 (246)

TP53 Loss Elevates NF‐κB‐IFN‐β‐MHC‐Ia Signaling to Promote NK Cell Resistance in Osteosarcoma

Advanced Science, EarlyView.
TP53 loss in a transforming or osteosarcoma cell promotes cytosolic DNA accumulation, activating NF‐κB‐dependent IFN‐β production. Autocrine IFN‐β signaling increases cell‐surface HLA‐Ia expression, strengthens inhibitory KIR signaling in natural killer cells, and thereby enables the affected cell to evade NK cell‐mediated cytotoxicity.
Guihui Qin, Cheung Kwan Yeung, Ye Yi, Dejin Zheng, Miaoman Ye, Chi‐Chong Chio, Jinjie Wu, Siyi Fu, Chu‐Xia Deng, Ren‐He Xu   +9 more
wiley   +1 more source

FAIRness at all costs? Practical limitations in applying the FAIR principles to plant genetic resources data. [PDF]

Front Plant Sci
Aguilar CHM, Oppermann M, Weise S.
europepmc   +1 more source

Towards a Compositional Framework for Describing Human Phenotypes

Advanced Science, EarlyView.
The Phenotype Assembly Method (PhenoAM) decomposes phenotype variables into measurable Features and typed Qualifiers, enabling standardized, machine‐readable Phenome Data Elements (PhenoDEs) that preserve measurement context. Applied in the International Human Phenome Project (IHPP), the framework yields 58 371 PhenoDEs and supports component‐level ...
Wanting Hu, Yunchao Ling, Xinyue Hu, Wei Chen, Rong Zhou, Xinhao Zhuang, Yanfeng Jiang, Jialu Zhao, Xingdong Chen, Jingchun Luo, Li Jin, Guoqing Zhang   +11 more
wiley   +1 more source

bMINTY: enabling reproducible management of high-throughput sequencing analysis results and their metadata. [PDF]

NAR Genom Bioinform
Kapelios K, Manousaki H, Kotsira V, Sinnis C, Xiropotamos P, Dalamagas T, Georgakilas GK.   +6 more
europepmc   +1 more source

A Real‐Data‐Driven Framework for Evaluating Differential Transcript Usage Methods Across Long‐Read Bulk, Single‐Cell, and Spatial Transcriptomics

Advanced Science, EarlyView.
Grounded in real biological RNA‐seq data, the framework benchmarks ten differential transcript usage (DTU) methods across short‐read bulk, long‐read bulk, long‐read single‐cell, and long‐read spatial transcriptomics. By integrating reference transcript sets with ranked DTU results, the Transcript Set Enrichment Score (TSES) identifies data‐type ...
Chenxing Zhang, Jun Liu, Qi Zhao, Huilong Yin, Angang Yang, Minhua Zheng, Rui Zhang   +6 more
wiley   +1 more source

Dataset Fragmentation, Cognitive Variability, and Reproducibility Challenges in EEG-Based Brain-Computer Interfaces: A PRISMA-Based Systematic Review. [PDF]

Sensors (Basel)
Peksa J.
europepmc   +1 more source

Beyond Conventional: A Review of Phytochemical‐Hydrogel Systems Enhanced by AI and 3D Printing for Chronic Wound Management

Advanced Science, EarlyView.
This review systematically bridges chronic wound pathology with natural phytochemical hydrogel therapeutics. A pathology‐to‐phytochemical mechanistic mapping framework is established, linking specific wound hallmarks to targeted phytochemical interventions.
Yitao Zhou, Xing Liu, Cuiyi Wang, Xiaoxuan Zhao, Pengrun Zhang, Jingjing Gu, Qiuhua Sun, Malcolm Xing, Yeqin Yang   +8 more
wiley   +1 more source

Consensus-Dominant Futures in Nursing: A Co-Citation and Co-Word Science-Mapping Analysis of Future-Framed Scholarship (1990-2025). [PDF]

Nurs Res Pract
Borromeo AS, Lerma ERM, Bote DS, Cabungcal MM, Wider W.   +4 more
europepmc   +1 more source

MAPA: A Semantic Network Framework for Functional Module Discovery and Interpretation in Multi‐Omics Data

Advanced Science, EarlyView.
MAPA transforms complex multi‐omics data into biologically coherent functional modules by integrating pathway information with molecular interaction networks. Retrieval‐augmented large language models then generate structured, literature‐informed interpretations.
Yifei Ge, Feifan Zhang, Yijiang Liu, Chao Jiang, Peng Gao, Nguan Soon Tan, Sai Zhang, Yuchen Shen, Qianyi Zhou, Xin Zhou, Xiao Wang, Fangqing Zhao, Chuchu Wang, Xiaotao Shen   +13 more
wiley   +1 more source

Measuring the Quality of Datasets: Development of the IDEFIM Indicator Set for Empirical Health Research. [PDF]

J Med Internet Res
Harkener S, Bott OJ, Draeger C, Hartz T, Jenetzky E, Löbe M, March S, Schubert C, Stausberg J.   +8 more
europepmc   +1 more source