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pmid: 34385369
pmc: PMC8454218
Spying on microbial communities, cell by cell Within any community of organisms, gene expression is heterogeneous, which can manifest in genetically identical individuals having a different phenotype. One has to look at individuals in context and analyze patterns in both space and time to see the full picture. Aiming to fill a gap in current methods, Dar et al . developed a transcriptome-imaging method named parallel sequential fluorescence in situ hybridization (par-seqFISH). They applied this technique to the opportunistic pathogen Pseudomonas aeruginosa , focusing on biofilms where growth conditions can change at microscopic scale. Development of these communities, as revealed by mRNA composition, were followed in space and time. The results revealed a heterogeneous phenotypic landscape, with oxygen availability shaping the metabolism at a spatial scale of microns within a single contiguous biofilm segment. This tool should be applicable to complex microbial communities in the environment and the human microbiome. —MAF
Pyocins, Virulence, Gene Expression Profiling, Gene Expression Regulation, Bacterial, Plankton, RNA, Bacterial, Phenotype, Spatio-Temporal Analysis, Biofilms, Pseudomonas aeruginosa, Fimbriae Proteins, RNA, Messenger, Single-Cell Analysis, Transcriptome, In Situ Hybridization, Fluorescence, Flagellin
Pyocins, Virulence, Gene Expression Profiling, Gene Expression Regulation, Bacterial, Plankton, RNA, Bacterial, Phenotype, Spatio-Temporal Analysis, Biofilms, Pseudomonas aeruginosa, Fimbriae Proteins, RNA, Messenger, Single-Cell Analysis, Transcriptome, In Situ Hybridization, Fluorescence, Flagellin
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 0.1% |
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