Results 241 to 250 of about 396,782 (350)
We investigated the impact of temporary stoma creation and closure on gut microbiota diversity in rectal cancer patients. 16S rRNA sequencing revealed that microbial diversity significantly decreased postoperatively in the stoma group but remained stable in non‐stoma patients.
Yusuke Suzuki +9 more
wiley +1 more source
Alterations in urinary microbiota composition in children with overactive bladder: insights from 16S rRNA gene sequencing. [PDF]
Li J +5 more
europepmc +1 more source
Assessment of bacteria and archaea in metalworking fluids using massive parallel 16S rRNA gene tag sequencing [PDF]
Nicola Di Maiuta +2 more
openalex +1 more source
Fusobacterium nucleatum contributes to the progression of ESCC by inducing NF‐κB–mediated inflammatory signaling in tumor cells and promoting CAFs activation. Its presence may facilitate immune exclusion and tumor invasion through stromal remodeling. Furthermore, F.
Takashi Ofuchi +9 more
wiley +1 more source
Integrative evidence for causal links between gut microbiota and Schizophrenia: A Mendelian randomization and 16S rRNA study. [PDF]
Zeng J +9 more
europepmc +1 more source
Cross amplification of 16S rRNA bacterial primer 27F/1492R on horticultural crop chloroplast genome
Adyatma Irawan Santosa +10 more
openalex +2 more sources
This study develops a supramolecular photosensitizer (SeVB⊃PQ) by combining SeVB with a P. gingivalis‐targeting peptide. SeVB⊃PQ selectively binds P. gingivalis, boosts ROS generation under irradiation, disrupts ATP synthesis, restores microbial balance, reduces inflammation, and promotes alveolar bone regeneration, offering a promising platform for ...
Rui Ding +7 more
wiley +1 more source
16S rRNA amplicon sequencing of bacterial communities from stormwater ponds in South Florida. [PDF]
Moretto JAS +6 more
europepmc +1 more source
A renaissance for the pioneering 16S rRNA gene
Culture-independent molecular surveys using the 16S rRNA gene have become a mainstay for characterizing microbial community structure over the last quarter century. More recently this approach has been overshadowed by metagenomics, which provides a global overview of a community's functional potential rather than just an inventory of its inhabitants ...
openaire +1 more source
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 +4 more
wiley +1 more source

