Results 221 to 230 of about 9,285 (257)

Deciphering Metatranscriptomic Data

2014
Metatranscriptomic data contributes another piece of the puzzle to understanding the phylogenetic structure and function of a community of organisms. High-quality total RNA is a bountiful mixture of ribosomal, transfer, messenger and other noncoding RNAs, where each family of RNA is vital to answering questions concerning the hidden microbial world ...
Kopylova, Evguenia, Noé, Laurent, da Silva, Corinne, Berthelot, Jean-Frédéric, Alberti, Adriana, Aury, Jean-Marc, Touzet, Helene   +6 more
openaire   +4 more sources

Quantitative Microbial Metatranscriptomics

2014
The direct retrieval and sequencing of environmental RNA is emerging as a powerful technique to elucidate the in situ activities of microbial communities. Here we provide a metatranscriptomic protocol describing environmental sample collection, rRNA depletion, mRNA amplification, cDNA synthesis, and bioinformatic analysis.
Scott, Gifford, Brandon, Satinsky, Mary Ann, Moran   +2 more
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Metagenomics and Metatranscriptomics

2022
International ...
Guyomar, Cervin, Lemaitre, Claire
openaire   +1 more source

Metatranscriptomics of Soil Eukaryotic Communities

2016
Functions expressed by eukaryotic organisms in soil can be specifically studied by analyzing the pool of eukaryotic-specific polyadenylated mRNA directly extracted from environmental samples. In this chapter, we describe two alternative protocols for the extraction of high-quality RNA from soil samples.
Yadav, Rajiv, Bragalini, Claudia, Fraissinet-Tachet, Laurence, Marmeisse, Roland, Luis, Patricia   +4 more
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Metatranscriptomic analyses of the oral microbiome

Periodontology 2000, 2020
AbstractAlthough the composition of the oral human microbiome is now well studied, regulation of genes within oral microbial communities remains mostly uncharacterized. Current concepts of periodontal disease and caries highlight the importance of oral biofilms and their role as etiological agents of those diseases.
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Combining metagenomics, metatranscriptomics and viromics to explore novel microbial interactions: towards a systems-level understanding of human microbiome

Computational and Structural Biotechnology Journal, 2015
The advances in experimental methods and the development of high performance bioinformatic tools have substantially improved our understanding of microbial communities associated with human niches.
Fernanda Cornejo-Granados, Samuel Canizales-Quinteros, Xavier SOBERÓN   +2 more
exaly   +2 more sources

Metatranscriptomics: A Tool for Clinical Metagenomics

OMICS: A Journal of Integrative Biology
In the field of bioinformatics, amplicon sequencing of 16S rRNA genes has long been used to investigate community membership and taxonomic abundance in microbiome studies. As we can observe, shotgun metagenomics has become the dominant method in this field.
Shivani Tyagi, Pramod Katara
openaire   +2 more sources

Metatranscriptome and Resistome of the Endodontic Microbiome

Journal of Endodontics
INTRODUCTION In this study, we used metatranscriptomics for the first time to investigate microbial composition, functional signatures, and antimicrobial resistance gene expression in endodontic infections. METHODS Root canal samples were collected from ten teeth, including five primary and five persistent/secondary endodontic infections.
Pinheiro, Ericka T, Karygianni, Lamprini, Candeiro, George T M, Vilela, Bruna G, Dantas, Larissa O, Pereira, Ana C C, Gomes, Brenda P F A, Attin, Thomas, Thurnheer, Thomas, Russo, Giancarlo   +9 more
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Gene Expression Profiling: Metatranscriptomics

2011
Metatranscriptomics has been developed to help understand how communities respond to changes in their environment. Metagenomic studies provided a snapshot of the genetic composition of the community at any given time. However, short-timescale studies investigating the response of communities to rapid environmental changes (e.g.
Jack A, Gilbert, Margaret, Hughes
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Usage of Metatranscriptomics to Understand Oral Disease

2021
Metatranscriptomics is a method used to comprehensively capture bacterial activity within microbiota at the transcription level. It has become an alternative to the 16S rDNA sequencing, which uses only the 16S rRNA gene for predicting bacterial composition.
openaire   +2 more sources