Results 151 to 160 of about 172,920 (260)

Deltacoronavirus Modulates circRNA cGLIS3 Metabolism to Evade Host Antiviral Response

Advanced Science, EarlyView.
This study reveals that both deltacoronavirus nucleocapsid protein and host RNA binding protein IGF2BP2 promote circular RNA GLIS3 (cGLIS3) biogenesis by binding to GLIS3 pre‐mRNA. The m6A modification‐mediated cGLIS3‐IGF2BP2 interaction weakens RNase L‐mediated degradation of cGLIS3 while facilitates a ubiquitin‐dependent degradation of IGF2BP2, thus ...
Liuyang Du, Liping Wang, Sujing Diao, Juan Li, Lei Zhao, Yan Yan, Haimin Li, Weiren Dong, Wei Wu, Jinyan Gu, Jiyong Zhou   +10 more
wiley   +1 more source

Detection of alternative splicing: deep sequencing or deep learning? [PDF]

Brief Bioinform
Hackl LM, Neuhaus F, Ameling S, Völker U, Baumbach J, Tsoy O.   +5 more
europepmc   +1 more source

A Personalized Haplotype‐Resolved Near‐Gapless Genome Framework for Somatic Variant Discovery in Hepatocellular Carcinoma

Advanced Science, EarlyView.
A patient‐specific, haplotype‐resolved genome framework improves detection and interpretation of somatic variants in hepatocellular carcinoma. Using multi‐platform sequencing, the personalized assembly resolves complex regions including centromeres and MHC/HLA loci, enhances structural variant discovery, and links regulatory alterations to allele ...
Jiazheng Lin, Yao Xiao, Shuangzi Luo, Yifan Li, Wenfei Zhang, Xiaoyu Zhang, Xinyi Wang, Di Wu, Jieru Hong, Yongkun Luan, Xun Huang, Yixiu Wang, Ningbo Wu, Xiaoxiao Hu, Fei Zhao, Wei Li, Xiao Luo, Bi Shi   +17 more
wiley   +1 more source

Alternative Splicing of the NF-Y Subunit, NF-YA, in Neuroblastoma Phenotype Heterogeneity. [PDF]

Cancers (Basel)
Martelli I, Cappabianca LA, Sbaffone M, Farina AR, Mackay AR.   +4 more
europepmc   +1 more source

Trustworthy Multimodal Attention Framework for Creep Rupture Life Prediction Under Data‐Scarce Conditions: A Case Study on IN718

Advanced Science, EarlyView.
An attention‐based multimodal deep learning framework is developed to predict the creep life of Ni‐based superalloys by fusing processing parameters with microstructural micrographs. The model achieves high accuracy (R2 = 0.92), aligns with metallurgical principles by capturing δ‐phase influence, and incorporates uncertainty quantification, offering a ...
Haopeng Lv, Dayong Wu, Ziyuan Rao, Qian Wang, Haikun Ma, Jie Kang, Wang Li, Huicong Dong, Yandong Wang, Zhinan Yang, Ru Su   +10 more
wiley   +1 more source

Comprehensive assessment of alternative splicing analysis methods for single-cell RNA-seq. [PDF]

iScience
Jiang Q, Li G, Xing L, Zhang D, Sun J.
europepmc   +1 more source

Corrigendum: Modularized Perturbation of Alternative Splicing Across Human Cancers

Frontiers in Genetics, 2019
Yabing Du, Shoumiao Li, Ranran Du, Ni Shi, Seiji Arai, Seiji Arai, Sai Chen, Aijie Wang, Yu Zhang, Zhaoyuan Fang, Tengfei Zhang, Tengfei Zhang, Wang Ma, Wang Ma   +13 more
doaj   +1 more source

circZNF148 Drives Glucose Metabolism Reprogramming to Enhance Metastasis and Immune Evasion via HK1 Stabilization in Triple‐Negative Breast Cancer

Advanced Science, EarlyView.
CircZNF148 stabilizes HK1 through deubiquitinase recruitment, thereby enhancing glycolysis and lactate production. Elevated lactate promotes PD‑L1 lactylation and membrane accumulation while suppressing CD8+ T‐cell cytotoxicity, collectively facilitating immune evasion and malignant progression in TNBC.
Yuhan Jin, Wenjing Zhao, Lei Wang, Jianing Wang, Keying Zhao, Dan Luo, Yifei Wang, Yuxia Yang, Jingze Yang, Yaming Li, Tong Chen, Dianwen Han, Zekun Wang, Xiaoyan Li, Bing Chen, Lijuan Wang, Yiran Liang, Qifeng Yang   +17 more
wiley   +1 more source

Alternative Splicing of SCL30a Generates Distinct Isoforms to Modulate ABA Signaling in Arabidopsis. [PDF]

Plants (Basel)
Wu T, Lin P, Li Y, Tian Y, Rhaman MS, Zhu F, Liu Y, Xie Y.   +7 more
europepmc   +1 more source

Livestock Multi‐Omics Integration: A Systematic Framework From Statistical Association to Causal Interpretation

Advanced Science, EarlyView.
A three‐tier livestock multi‐omics framework resolves four typical analytical pitfalls. Moving from statistical association through machine learning preprocessing to triple‐modal causal inference, it converts omics results into genomic selection and gene editing strategies to achieve One Health, underpinned by multi‐omics data, multimodal sequencing ...
Jiying Wen, Zhongyu Wang, Jieping Huang, Fen Li, Ningbo Chen, Yun Ma   +5 more
wiley   +1 more source