Results 161 to 170 of about 140,210 (264)

A retrospective metagenomic analysis of fecal microbiota transplantation donors from five countries: Safety considerations for donor screening and core microbiome profiles of qualified donors. [PDF]

J Microbiol
Li SS, Niu YH, Yu HJ.
europepmc   +1 more source

Majorbio Cloud 2026 Update: An End‐to‐End Solution for Proteomics Research

iMetaMed, EarlyView.
The recent upgrade of Majorbio Cloud facilitates a more streamlined and accurate research process, aiding researchers across the various proteomics subfields. Furthermore, it propels the advancement of multi‐layered, multi‐omics scientific investigations centered around proteins.
Caiping Shi, Chang Han, Jichen Han, Bing Yang, Yachen Dong, Jianhua Zhao, Binxu Liu, Rundong Fang, Wenyao Fu, Jiawen Ma, Meng Luo, Lixing Feng, Yitong Feng, Huimin Cui, Mengxi Li, Huasheng Huang, Xianglin Zhang, Kegang Yu   +17 more
wiley   +1 more source

Fast and accurate taxonomic domain assignment of short metagenomic reads using BBERT. [PDF]

Nucleic Acids Res
Alekhin D, Alon M, Sidi T, Mazeh SP, Carmi G, Finkel OM, Erez A.   +6 more
europepmc   +1 more source

Addressing the Abundance Paradox Through Topology‐Guided Graph Learning for Cross‐Cohort Classification of Type 2 Diabetes

iMetaMed, EarlyView.
By shifting from highly variable taxonomic abundance to conserved ecological network topologies, our Dual‐Stream Graph Attention Network (DS‐GAT‐CP) resolves the “abundance paradox,” enabling highly accurate and cross‐regionally robust non‐invasive screening for Type 2 Diabetes. ABSTRACT Gut microbiome‐based machine learning models for Type 2 Diabetes (
Changjian Wu, Ping Wei, Xuhui Wang, Hua Hua, Junli Li   +4 more
wiley   +1 more source

Nanopore metagenomic sequencing links clinically relevant resistance determinants to pathogens. [PDF]

Microb Genom
Ürel H, Sauerborn E, Biggel M, Gebhardt F, Foster-Nyarko E, Brugger SD, White RT, Heidelbach S, Albertsen M, Muchaamba F, Reska T, Stevens MJA, Stephan R, Fetherston R, Urban L.   +14 more
europepmc   +1 more source

Chronic Prostatitis/Chronic Pelvic Pain Syndrome: Research Progress and Precision Diagnosis‐Therapy Under the Integrated Neuro–Immune–Metabolic–Microbiota Axis Framework

iMetaMed, EarlyView.
Chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS) is increasingly recognized as a systemic disorder rather than a purely local prostate disease. The diagram illustrates the transition from the traditional local prostate‐centered model to a multi‐axis systemic framework involving clinical heterogeneity, local prostatic inflammation, systemic ...
Kun Wang, Jinfei Liu, Qiangsheng Wang, Lei Fan, Ziang Li, Xuexin Yu, Yonghao Chen, Xiaofan Lu, Guiyi Liao, Jialin Meng, Yu Guan   +10 more
wiley   +1 more source

Function‐centered back‐tracing refines obesity‐associated gut microbiome signals beyond abundance‐based profiling

iMetaOmics, EarlyView.
By integrating taxonomic and functional profiling of 1543 adult gut metagenomes, this study identified microbial taxa and enzymatic functions associated with increasing Body Mass Index. Function‐centered taxonomic back‐tracing of branched‐chain amino acid transaminase, nucleotide diphosphatase, and phosphatidylserine decarboxylase revealed only limited
Silvia Petraro, Chiara Tarracchini, Leonardo Mancabelli, Gabriele Andrea Lugli, Francesca Turroni, Marco Ventura, Christian Milani   +6 more
wiley   +1 more source

Viral Metagenomic Sequencing Reveals Viral Codetection Patterns in Children with Respiratory Syncytial Virus Infection. [PDF]

Viruses
Ran W, He X, Luo D.
europepmc   +1 more source

Gut microbiome seasonality is associated with dietary plasticity and coexistence in three sympatric Pamir ungulates

iMetaOmics, EarlyView.
This graphical abstract outlines a multi‐omics framework investigating the seasonal dietary composition and gut microbial communities of three coexisting ungulate species inhabiting the extreme high‐altitude Pamir Plateau (Ovis ammon polii, Capra sibirica, and Pseudois nayaur). By integrating dietary DNA metabarcoding, 16S rRNA gene sequencing, shotgun
Dilala Tuoliu, Lijiao Zhang, Muyang Wang, Wenxuan Xu, Kathreen Ruckstuhl, António Alves da Silva, Joana Alves, Hongchen Jiang, Weikang Yang   +8 more
wiley   +1 more source

ExMODE: A comprehensive resource for extremophile genomic and functional exploration

iMetaOmics, EarlyView.
ExMODE (https://db.genomics.cn/exmode/) integrates 3518 samples to build a unified extremophile resource, which hosts 1.35 billion habitat‐specific non‐redundant genes, 5.25 million representative protein structures, 67,026 metagenome‐assembled genomes (MAGs), and 164,132 biosynthetic gene clusters (BGCs). By combining sequence‐, structure‐, and genome‐
Denghui Li, Kailong Ma, Xiaoqiang Li, Jieni Wang, Zhen Cui, Yulu Zhang, Weiwen Wang, Jiawei Tong, Yang Guo, Zongan Wang, Peiyun Zeng, Jieyu Wang, Xiaokai Xu, Nannan Zhang, Yingying Zhang, Jing Chen, Qingjiang Hu, Wenzhen Yang, Zhiyong Li, Tao Yang, Wensi Du, Zhicheng Xu, Zhen Yue, Jian Wang, Guangyi Fan, Weijia Zhang, Xun Xu, Liujie Huo, Xiaofeng Wei, Liang Meng, Shanshan Liu   +30 more
wiley   +1 more source