Results 161 to 170 of about 202,193 (268)

Pro‐ATO/Allicin Liposomes for Dual‐Pathway Targeting of p53‐Mutant Tumors

Advanced Science, EarlyView.
Schematic illustration of the “pro‐ATO”/allicin liposomal strategy. Liposomal encapsulation improves the stability and bioavailability of both agents while masking allicin's odor. Upon release in the tumor microenvironment, ATO reactivates structural p53 mutants, and allicin inhibits ATR signaling while releasing H2S, collectively inducing synthetic ...
Xiaoling Xu, WeiYi Cheng, Menghang Yang, Li He, WeiYe Ren, JingQuan Chen, LiTing He, Dandan Bao, Zhihong Zhu, Lixin Wang, Qinghua Yao, Ji‐Gang Piao   +11 more
wiley   +1 more source

PYRAMA: an open-source tool for advanced meta-analysis of genome wide association studies. [PDF]

Bioinformatics
Manios GA, Nteli S, Kontou PI, Bagos PG.
europepmc   +1 more source

Cellular Identity Crisis: RD3 Loss Fuels Plasticity and Immune Silence in Progressive Neuroblastoma

Advanced Science, EarlyView.
Researchers discovered that therapy‐induced loss of RD3 protein in neuroblastoma triggers a dangerous shift: cancer cells become more stem‐like, invasive, and resistant to treatment while evading immune detection. RD3 loss suppresses antigen presentation and boosts immune checkpoints, creating an immune‐silent environment.
Poorvi Subramanian, Sreenidhi Mohanvelu, Sheeja Aravindan, Afsana Parveen Jahir Hussain, Sivasubramani Narayanan, Sabir Salim, Loganayaki Periyasamy, Natarajan Aravindan   +7 more
wiley   +1 more source

Pan‐3D Genome Analysis Reveals the Roles of Structural Variation in Chicken Chromatin Architectures, Domestication and Production Traits

Advanced Science, EarlyView.
This study firstly presents a comprehensive and high‐resolution pan‐3D genome resource in chicken. Our findings reveal the role of structural variations in 3D genome architectures, and how they influence the domestication process and production traits at the 3D genome level.
Zhen Zhou, Danfeng Cai, Changbin Zhao, Siyu Zhang, Jiahao Li, Zhaofeng Zhang, Shaofen Kong, Xin Yang, Xiaoli Zhou, Farhad Bordbar, Fayi Chen, Yaohuan Xu, Zhe Zhang, Lihong Gu, Zhenhui Li, Xiquan Zhang, Wen Luo, Jingting Shu, Bolin Cai, Qinghua Nie   +19 more
wiley   +1 more source

Missing Value Imputation With Adversarial Random Forests-MissARF. [PDF]

Stat Med
Golchian P, Kapar J, Watson DS, Wright MN.   +3 more
europepmc   +1 more source

Endothelial GPR68 Is Essential for Arteriogenesis and Represents a Therapeutic Target in a Model of Peripheral Artery Disease

Advanced Science, EarlyView.
Endothelial GPR68 is identified as a critical regulator of collateral artery growth in peripheral artery disease. Genetic and pharmacological evidence demonstrates that GPR68 integrates hemodynamic cues to drive monocyte recruitment and inflammatory remodeling, thereby promoting collateral arteriogenesis and tissue perfusion after ischemia ...
Yiyan Song, Senyi Peng, Zhilei Huang, Miao Yu, Mingyue Wu, Yuexin Zhu, Zeyi Zhou, Yongshan Liu, Yalin Zhang, Yu Huang, Zhongxing Wang, Fu‐Li Xiang, Jie Xu   +12 more
wiley   +1 more source

FINEMAP-miss: fine-mapping genome-wide association studies with missing genotype information. [PDF]

Bioinformatics
Kartau J, Pirinen M.
europepmc   +1 more source

Integrating Spatial Proteogenomics in Cancer Research

Advanced Science, EarlyView.
Xx xx. ABSTRACT Background: Spatial proteogenomics marks a paradigm shift in oncology by integrating molecular analysis with spatial information from both spatial proteomics and other data modalities (e.g., spatial transcriptomics), thereby unveiling tumor heterogeneity and dynamic changes in the microenvironment.
Yida Wang, Yang Wu, Feng Zhang, Parthiban Periasamy, Haiyue You, Denise Goh, Rachel Elizabeth Ann Fincham, Xin Ning, Danping Wu, Lu Liu, Ying Jiang, Zhiwen Qian, Joe Yeong, Yan Zhang   +13 more
wiley   +1 more source

Bridging unpaired single-cell multimodal data for integrative analyses with SuperMap. [PDF]

Proc Natl Acad Sci U S A
Deng C, Ma X, Lu H, Zhao H, Ming J, Wang T.   +5 more
europepmc   +1 more source

A Guide for Spatial Omics Technologies: Innovation, Evaluation, and Application

Advanced Science, EarlyView.
This review presents a strategy‐centric framework for spatial omics technologies, organizing methods by how spatial information is experimentally encoded. It compares key performance trade‐offs across sequencing‐ and imaging‐based approaches, examines computational and practical limitations, and highlights biomedical applications. The analysis provides
Xiaofeng Wu, Weize Xu, Da Lin, Leqiang Sun, Jinxia Dai, Gang Cao   +5 more
wiley   +1 more source