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Gene Yeo

Publications and source records attributed to Gene Yeo.

8 recordsLinked to original sources

Versatile wastewater monitoring of pathogens and antimicrobial resistance enabled by metatranscriptomics and long-read metagenomics.

Widespread interest in the development of population-wide pathogen and antimicrobial resistance (AMR) monitoring has revealed wastewater's microbial footprint as a marker of public health. Near-source wastewater remains a difficult sample type for microbiome analyses but represents a closer link to human health than the downstream products of its treatment. Few studies integrate methods for non-targeted monitoring applications, and critically, current methods cannot connect AMR genes to species, nor resolve full genomes. We address these challenges by developing a pipeline that enables untargeted metagenomics, metatranscriptomics, and novel long-read metagenomics (LRG). We achieve untargeted pathogen detection, limited by highly abundant resident species, while retaining microbial information with near-source sampling. Furthermore, LRG identifies antibiotic resistance gene-containing microbes and enables assembly of culture-independent genomes with previously unreported AMR genes. We establish an integrated approach to broadly monitor pathogens in wastewater, while demonstrating the importance of LRG to illuminate microbial AMR at the species level.

Journal Article↗

Noncoding RNAs in the mammalian central nervous system.

The central nervous system (CNS) is arguably one of the most complex systems in the universe. To understand the CNS, scientists have investigated a variety of molecules, including proteins, lipids, and various small molecules. However, one large class of molecules, noncoding RNAs (ncRNAs), has been relatively unexplored. ncRNAs function directly as structural, catalytic, or regulatory molecules rather than serving as templates for protein synthesis. The increasing variety of ncRNAs being identified in the CNS suggests a strong connection between the biogenesis, dynamics of action, and combinatorial regulatory potential of ncRNAs and the complexity of the CNS. In this review, we give an overview of the diversity and abundance of ncRNAs before delving into specific examples that illustrate their importance in the CNS. In particular, we cover recent evidence for the roles of microRNAs, small nucleolar RNAs, retrotransposons, the NRSE small modulatory RNA, and BC1/BC200 in the CNS. Finally, we speculate why ncRNAs are well adapted to improving organism-environment interactions.

Animals↗

A combinatorial code for splicing silencing: UAGG and GGGG motifs.

Alternative pre-mRNA splicing is widely used to regulate gene expression by tuning the levels of tissue-specific mRNA isoforms. Few regulatory mechanisms are understood at the level of combinatorial control despite numerous sequences, distinct from splice sites, that have been shown to play roles in splicing enhancement or silencing. Here we use molecular approaches to identify a ternary combination of exonic UAGG and 5'-splice-site-proximal GGGG motifs that functions cooperatively to silence the brain-region-specific CI cassette exon (exon 19) of the glutamate NMDA R1 receptor (GRIN1) transcript. Disruption of three components of the motif pattern converted the CI cassette into a constitutive exon, while predominant skipping was conferred when the same components were introduced, de novo, into a heterologous constitutive exon. Predominant exon silencing was directed by the motif pattern in the presence of six competing exonic splicing enhancers, and this effect was retained after systematically repositioning the two exonic UAGGs within the CI cassette. In this system, hnRNP A1 was shown to mediate silencing while hnRNP H antagonized silencing. Genome-wide computational analysis combined with RT-PCR testing showed that a class of skipped human and mouse exons can be identified by searches that preserve the sequence and spatial configuration of the UAGG and GGGG motifs. This analysis suggests that the multi-component silencing code may play an important role in the tissue-specific regulation of the CI cassette exon, and that it may serve more generally as a molecular language to allow for intricate adjustments and the coordination of splicing patterns from different genes.

Alternative Splicing↗

Systematic identification and analysis of exonic splicing silencers.

Exonic splicing silencers (ESSs) are cis-regulatory elements that inhibit the use of adjacent splice sites, often contributing to alternative splicing (AS). To systematically identify ESSs, an in vivo splicing reporter system was developed to screen a library of random decanucleotides. The screen yielded 141 ESS decamers, 133 of which were unique. The silencer activity of over a dozen of these sequences was also confirmed in a heterologous exon/intron context and in a second cell type. Of the unique ESS decamers, most could be clustered into groups to yield seven putative ESS motifs, some resembling known motifs bound by hnRNPs H and A1. Potential roles of ESSs in constitutive splicing were explored using an algorithm, ExonScan, which simulates splicing based on known or putative splicing-related motifs. ExonScan and related bioinformatic analyses suggest that these ESS motifs play important roles in suppression of pseudoexons, in splice site definition, and in AS.

Algorithms↗

Variation in sequence and organization of splicing regulatory elements in vertebrate genes.

Although core mechanisms and machinery of premRNA splicing are conserved from yeast to human, the details of intron recognition often differ, even between closely related organisms. For example, genes from the pufferfish Fugu rubripes generally contain one or more introns that are not properly spliced in mouse cells. Exploiting available genome sequence data, a battery of sequence analysis techniques was used to reach several conclusions about the organization and evolution of splicing regulatory elements in vertebrate genes. The classical splice site and putative branch site signals are completely conserved across the vertebrates studied (human, mouse, pufferfish, and zebrafish), and exonic splicing enhancers also appear broadly conserved in vertebrates. However, another class of splicing regulatory elements, the intronic splicing enhancers, appears to differ substantially between mammals and fish, with G triples (GGG) very abundant in mammalian introns but comparatively rare in fish. Conversely, short repeats of AC and GT are predicted to function as intronic splicing enhancers in fish but are not enriched in mammalian introns. Consistent with this pattern, exonic splicing enhancer-binding SR proteins are highly conserved across all vertebrates, whereas heterogeneous nuclear ribonucleoproteins, which bind many intronic sequences, vary in domain structure and even presence/absence between mammals and fish. Exploiting differences in intronic sequence composition, a statistical model was developed to predict the splicing phenotype of Fugu introns in mammalian systems and was used to engineer the spliceability of a Fugu intron in human cells by insertion of specific sequences, thereby rescuing splicing in human cells.

Animals↗

Variation in alternative splicing across human tissues.

BACKGROUND: Alternative pre-mRNA splicing (AS) is widely used by higher eukaryotes to generate different protein isoforms in specific cell or tissue types. To compare AS events across human tissues, we analyzed the splicing patterns of genomically aligned expressed sequence tags (ESTs) derived from libraries of cDNAs from different tissues. RESULTS: Controlling for differences in EST coverage among tissues, we found that the brain and testis had the highest levels of exon skipping. The most pronounced differences between tissues were seen for the frequencies of alternative 3' splice site and alternative 5' splice site usage, which were about 50 to 100% higher in the liver than in any other human tissue studied. Quantifying differences in splice junction usage, the brain, pancreas, liver and the peripheral nervous system had the most distinctive patterns of AS. Analysis of available microarray expression data showed that the liver had the most divergent pattern of expression of serine-arginine protein and heterogeneous ribonucleoprotein genes compared to the other human tissues studied, possibly contributing to the unusually high frequency of alternative splice site usage seen in liver. Sequence motifs enriched in alternative exons in genes expressed in the brain, testis and liver suggest specific splicing factors that may be important in AS regulation in these tissues. CONCLUSIONS: This study distinguishes the human brain, testis and liver as having unusually high levels of AS, highlights differences in the types of AS occurring commonly in different tissues, and identifies candidate cis-regulatory elements and trans-acting factors likely to have important roles in tissue-specific AS in human cells.

Alternative Splicing↗

Nonclassical splicing mutations in the coding and noncoding regions of the ATM Gene: maximum entropy estimates of splice junction strengths.

Ataxia-telangiectasia (A-T) is an autosomal recessive neurological disorder caused by mutations in the ATM gene. Classical splicing mutations (type I) delete entire exons during pre-mRNA splicing. In this report, we describe nine examples of nonclassical splicing mutations in 12 A-T patients and compare cDNA changes to estimates of splice junction strengths based on maximum entropy modeling. These mutations fall into three categories: pseudoexon insertions (type II), single nucleotide changes within the exon (type III), and intronic changes that disrupt the conserved 3' splice sequence and lead to partial exon deletion (type IV). Four patients with a previously reported type II (pseudoexon) mutation all shared a common founder haplotype. Three patients with apparent missense or silent mutations actually had type III aberrant splicing and partial deletion of an exon. Five patients had type IV mutations that could have been misinterpreted as classical splicing mutations. Instead, their mutations disrupt a splice site and use another AG splice site located nearby within the exon; they lead to partial deletions at the beginning of exons. These nonclassical splicing mutations create frameshifts that result in premature termination codons. Without screening cDNA or using accurate models of splice site strength, the consequences of these genomic mutations cannot be reliably predicted. This may lead to further misinterpretation of genotype-phenotype correlations and may subsequently impact upon gene-based therapeutic approaches.

Ataxia Telangiectasia↗

Maximum entropy modeling of short sequence motifs with applications to RNA splicing signals.

We propose a framework for modeling sequence motifs based on the maximum entropy principle (MEP). We recommend approximating short sequence motif distributions with the maximum entropy distribution (MED) consistent with low-order marginal constraints estimated from available data, which may include dependencies between nonadjacent as well as adjacent positions. Many maximum entropy models (MEMs) are specified by simply changing the set of constraints. Such models can be utilized to discriminate between signals and decoys. Classification performance using different MEMs gives insight into the relative importance of dependencies between different positions. We apply our framework to large datasets of RNA splicing signals. Our best models out-perform previous probabilistic models in the discrimination of human 5' (donor) and 3' (acceptor) splice sites from decoys. Finally, we discuss mechanistically motivated ways of comparing models.

Base Sequence↗