Results 71 to 80 of about 71,620 (260)

RNA Sequencing Resolves Cryptic Pathogenic Variants in Mitochondrial Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Mitochondrial diseases are the most common inherited metabolic disorders, characterized by pronounced clinical and genetic heterogeneity that complicates molecular diagnosis. Although DNA‐based sequencing approaches have become standard in genetic testing, up to half of patients remain without a definitive diagnosis.
Zhimei Liu, Xin Duan, Fatemeh Peymani, Jia Wang, Chengjia Bao, Chaolong Xu, Ying Zou, Zixuan Zhang, Yunxi Zhang, Tongyue Li, Martin Pavlov, Junling Wang, Minhan Song, Tianyu Song, Xiaodi Han, Mingxi Sun, Danmin Shen, Ruoyu Duan, Huafang Jiang, Manting Xu, Holger Prokisch, Fang Fang   +21 more
wiley   +1 more source

Omics Integration for Mitochondria Systems Biology

Antioxidants & Redox Signaling, 2020
Significance: Elucidation of the central importance of mitophagy in homeostasis of cells and organisms emphasizes that mitochondrial functions extend far beyond short-term needs for energy production. In mitochondria systems biology, the mitochondrial genome, proteome, and metabolome operate as a functional network in coordination of cell activities ...
Xin, Hu, Young-Mi, Go, Dean P, Jones
openaire   +3 more sources

Integrated PANoptosis Profiling Identifies Immunosuppressive Subtypes and a Prognostic Signature With Functional Validation of MLKL in Glioblastoma

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The prognosis of glioblastoma (GBM) remains highly unfavorable, largely due to high tumor heterogeneity and an immunosuppressive microenvironment. However, the functional role of PANoptosis in this context is poorly understood. Methods Patients were stratified via K‐means clustering. A risk score model was constructed using prognosis‐
Langfei Tian, Minghui Zhao, Yuanbo Hu, Kaiyue Wang, Haiguang Liu, Zetong Bai, Kebin Zheng   +6 more
wiley   +1 more source

DBCL-DFNet: Dual-Branch Contrastive Learning for Multi-Omics Dynamic Fusion

Entropy
Multimodal omics data portray biological processes across molecular layers, yet their heterogeneity and high dimensionality hinder a unified representation. Existing integrative approaches either focus on local feature interactions or adopt static fusion,
Yun Dang, Xiaoran Yan, Li Zhou, Dongxi Li   +3 more
doaj   +1 more source

Engineering Nanoplatforms for Alzheimer's Disease Detection via Biomolecular Corona Proteomic and Lipidomic Profiling

Advanced Healthcare Materials, EarlyView.
Engineered nanoparticles capture disease‐specific biomolecular coronas that uncover hidden molecular features of Alzheimer's disease. Combined proteomic and lipidomic analyses reveal a characteristic shift in ribosomal machinery and energy metabolism, generating a multiomic fingerprint that supports accurate disease detection and opens new ...
Antonietta Greco, Roberto Baretta, Andrea Di Fonzo, Andrea Armirotti, Stefano Cinti, Mara Mirasoli, Marco Frasconi, Claudia Corbo   +7 more
wiley   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

Progress on the Failure Mechanisms and Optimization Strategies on Lithium Iron Phosphate

Advanced Materials Interfaces, EarlyView.
This review centers on LiFeO4 cathodes, outlining their core advantages and performance limitations, then systematically elucidating failure mechanisms, proposing key optimization strategies, and summarizing future research directions that integrate advanced characterization with intelligent design.
Zheng‐Xin Qian, Tianxiang Li, Zhijiang Liu, Mingzhe Yuan, Xiaoyu Gu, Banglong Wan, Qian Zhao, Zuotong Zha, Hang Ma   +8 more
wiley   +1 more source

Malectin Alleviates Endoplasmic Reticulum Stress in Gestational Diabetes Mellitus via Glycoprotein Quality Control Mechanisms

Advanced Science, EarlyView.
Malectin alleviates high glucose‐induced ER stress and damage in placental trophoblasts, a function dependent on its six critical carbohydrate‐binding residues. In a GDM mouse model, administration of TAT‐Malectin ameliorated hyperglycemia and placental ER stress and prevented fetal macrosomia.
Jiahui Zhu, Yumeng Zhang, Ye Wang, Xiaoyu Zhu, Ailin Yuan, Weijing Yin, Huangmin Yu, Xuemin Pang, Yufeng He, Yuchen Wang, Tong Wang, Yong Li, Yunlong Si   +12 more
wiley   +1 more source

Development of K-CORE: a web-based platform for integrated clinico-genomic analysis

Life Science Alliance
K-CORE enables no-code integration and visualization of user-uploaded clinical and multi-omics cancer data for accessible precision oncology research. One of the key challenges in cancer treatment and precision oncology is the use of multi-omics data and
Juyeon Hwang, Jae Woo Ahn, Jae Wook Lee, So-Youn Jung, Eun-Gyeong Lee, Heejung Chae, Harim Koo, Hyosoung Cha, Junetae Kim, Kwangmin Kim, Dongwoo Lee, Junhyung Park, Sun-Young Kong, Kui Son Choi, Hyun-Jin Kim   +14 more
doaj   +1 more source

Genome‐Wide CRISPR Screen Identifies a microRNA Orchestrating Pleiotropic Resistance to Targeted Therapy and T Cell Immunity in Melanoma

Advanced Science, EarlyView.
A genome‐wide microRNA CRISPR screen identifies miR‐18a as a master regulator of cross‐resistance in melanoma. Loss of miR‐18a activates the AJUBA–YAP/Hippo axis to confer BRAFi resistance and enhances THBS1–CD47 interaction to impair CD8+ T cell immunity. hnRNP A1 is identified as an upstream regulator of miR‐18a processing.
Zhao Wang, Haotian Liu, Xueqi Wang, Jianjin Teng, Zihan Zheng, Jingya Zhang, Wanyi Xiao, Qian Liang, Jiaxin Li, Xiaomeng Jia, Xin Feng, Hongzhang Cui, Menghan Luo, Tielong Yang, Liuxing Wu, Ke Zhao, Weilong Yang, Mulin Jun Li, Dandan Huang, Jilong Yang   +19 more
wiley   +1 more source