Results 221 to 230 of about 245,723 (333)

Analysis of the characteristics of endometrial fluid samples in recurrent pregnancy loss patients based on 16S rRNA gene sequencing technology. [PDF]

Front Cell Infect Microbiol
Wang X, Ding N, Li X, Lu M, Wang P.
europepmc   +1 more source

Comparison of four automated microbiology systems with 16S rRNA gene sequencing for identification of Chryseobacterium and Elizabethkingia species [PDF]

, 2017
Jiun‐Nong Lin, Chung‐Hsu Lai, Chih-Hui Yang, Yi-Han Huang, Hsiu-Fang Lin, Hsi-Hsun Lin   +5 more
openalex   +1 more source

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

Advanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

Exploration of microorganism and metabolites relation to the egg production of Shanma ducks based on 16S rRNA gene sequencing and metabolomics. [PDF]

Poult Sci
Miao S, Xu X, Zeng T, Tian Y, Gu T, Chen L, Su J, Lu L, Xu W.   +8 more
europepmc   +1 more source

Alteration of Bacterial Communities in Anterior Nares and Skin Sites of Patients Undergoing Arthroplasty Surgery: Analysis by 16S rRNA and Staphylococcal-Specific <em>tuf</em> Gene Sequencing

, 2020
Søren Iversen, Thor Bech Johannesen, Anna Cäcilia Ingham, Sofie Marie Edslev, Staffan Tevell, Emeli Månsson, Åsa Nilsdotter‐Augustinsson, Bo Söderquist, Marc Stegger, Paal Skytt Andersen   +9 more
openalex   +2 more sources

Polymerase Chain Reaction. Perturbation Theory and Machine Learning Artificial Intelligence‐Experimental Microbiome Analysis: Applications to Ancient DNA and Tree Soil Metagenomics Cases of Study

Advanced Intelligent Systems, EarlyView.
The polymerase chain reaction (PCR).Perturbation Theory and Machine Learning framework integrates perturbation theory and machine learning to classify genetic sequences, distinguishing ancient DNA from modern controls and predicting tree health from soil metagenomic data.
Jose L. Rodriguez, Estefania Ascencio, Jose M. Ageitos, Lucia Feijoo, Shan He, Amirreza Daghighi, Gerardo M. Casanola‐Martin, Cristian R. Munteanu, Santiago Rodriguez Yañez, Alejandro Pazos, Harbil Bediaga, Brenda Durand Ordiales, Raquel Esteban, Ana‐Maria Heres, Jorge Curiel Yuste, Lur Epelde, Bakhtiyor Rasulev, Tomas Gonzalez, Sonia Arrasate, Humberto González‐Diaz   +19 more
wiley   +1 more source

Nanopore full length 16S rRNA gene sequencing increases species resolution in bacterial biomarker discovery. [PDF]

Sci Rep
Aja-Macaya P, Conde-Pérez K, Trigo-Tasende N, Buetas E, Nasser-Ali M, Nión P, Rumbo-Feal S, Ladra S, Bou G, Mira Á, Vallejo JA, Poza M.   +11 more
europepmc   +1 more source

Development of an in situ small intestinal injection technique for targeted macromolecule delivery and in vivo functional studies in mice

Animal Models and Experimental Medicine, EarlyView.
This study developed a minimally invasive, in situ small intestinal injection technique for mice, enabling targeted delivery of bioactive molecules while bypassing gastric degradation. Validation using functional assays and single‐cell RNA sequencing reveals high‐mobility group box 1–mediated epithelial responses, offering a translational tool for gut ...
Yawen Lai, Xintao Zhang, Tingting Luo, Wenhan Chen, Chenyu Ma, Haihua Luo, Jinghua Liu, Jia Xu   +7 more
wiley   +1 more source

Quantitative profiling of bacterial communities via full length 16S rRNA gene sequencing with internal controls: optimization and validation across diverse human microbiomes. [PDF]

BMC Microbiol
Valido E, Bertolo A, Stoyanov J.
europepmc   +1 more source

Decoding the Pathophysiology of Autoimmune Diseases—Mechanism, Triggers, and Nanotherapeutics: A Review

Advanced NanoBiomed Research, EarlyView.
This review highlights how autoimmune diseases arise from intertwined immunological, genetic, and environmental factors, emphasizing gut microbiota dysbiosis as a pivotal driver. It outlines emerging nanotechnology‐based strategies—such as liposomes, hydrogels, and polymeric nanoparticles—that enhance targeted drug delivery, minimize systemic toxicity,
Md. Meraj Ansari, Yunhui Min, Eun‐Ju Ko, Doyoung Kwon, Rehan Khan, Young‐Ok Son   +5 more
wiley   +1 more source