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Genome-wide dissection of microRNA functions and cotargeting networks using gene set signatures.

ABSTRACT: MicroRNAs are emerging as important regulators of diverse biological processes and pathologies in animals and plants. Though hundreds of human microRNAs are known, only a few have known functions. Here, we predict human microRNA functions by using a new method that systematically assesses the statistical enrichment of several microRNA-targeting signatures in annotated gene sets such as signaling networks and protein complexes. Some of our top predictions are supported by published experiments, yet many are entirely new or provide mechanistic insights to known phenotypes. Our results indicate that coordinated microRNA targeting of closely connected genes is prevalent across pathways. We use the same method to infer which microRNAs regulate similar targets and provide the first genome-wide evidence of pervasive cotargeting, in which a handful of "hub" microRNAs are involved in a majority of cotargeting relationships. Our method and analyses pave the way to systematic discovery of microRNA functions.

SUBMITTER: Tsang JS

PROVIDER: S-EPMC3110938 | biostudies-literature | 2010 Apr

REPOSITORIES: biostudies-literature

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Genome-wide dissection of microRNA functions and cotargeting networks using gene set signatures.

Tsang John S JS Ebert Margaret S MS van Oudenaarden Alexander A

Molecular cell 20100401 1

MicroRNAs are emerging as important regulators of diverse biological processes and pathologies in animals and plants. Though hundreds of human microRNAs are known, only a few have known functions. Here, we predict human microRNA functions by using a new method that systematically assesses the statistical enrichment of several microRNA-targeting signatures in annotated gene sets such as signaling networks and protein complexes. Some of our top predictions are supported by published experiments, y ...[more]

PMID: 20385095

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Project description:BACKGROUND: Analyses of DNA sequences from cultivated microorganisms have revealed genome-wide, taxa-specific nucleotide compositional characteristics, referred to as genome signatures. These signatures have far-reaching implications for understanding genome evolution and potential application in classification of metagenomic sequence fragments. However, little is known regarding the distribution of genome signatures in natural microbial communities or the extent to which environmental factors shape them. RESULTS: We analyzed metagenomic sequence data from two acidophilic biofilm communities, including composite genomes reconstructed for nine archaea, three bacteria, and numerous associated viruses, as well as thousands of unassigned fragments from strain variants and low-abundance organisms. Genome signatures, in the form of tetranucleotide frequencies analyzed by emergent self-organizing maps, segregated sequences from all known populations sharing < 50 to 60% average amino acid identity and revealed previously unknown genomic clusters corresponding to low-abundance organisms and a putative plasmid. Signatures were pervasive genome-wide. Clusters were resolved because intra-genome differences resulting from translational selection or protein adaptation to the intracellular (pH approximately 5) versus extracellular (pH approximately 1) environment were small relative to inter-genome differences. We found that these genome signatures stem from multiple influences but are primarily manifested through codon composition, which we propose is the result of genome-specific mutational biases. CONCLUSIONS: An important conclusion is that shared environmental pressures and interactions among coevolving organisms do not obscure genome signatures in acid mine drainage communities. Thus, genome signatures can be used to assign sequence fragments to populations, an essential prerequisite if metagenomics is to provide ecological and biochemical insights into the functioning of microbial communities.

Dataset Information

Genome-wide dissection of microRNA functions and cotargeting networks using gene set signatures.

Publications

Genome-wide dissection of microRNA functions and cotargeting networks using gene set signatures.

Similar Datasets

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