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  • 1
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    Bidirectional promoters generate pervasive transcription in yeast (2009)
    Nature Publishing Group (NPG)
    Details
    Publication Date: 2009-01-27
    Description: Genome-wide pervasive transcription has been reported in many eukaryotic organisms, revealing a highly interleaved transcriptome organization that involves hundreds of previously unknown non-coding RNAs. These recently identified transcripts either exist stably in cells (stable unannotated transcripts, SUTs) or are rapidly degraded by the RNA surveillance pathway (cryptic unstable transcripts, CUTs). One characteristic of pervasive transcription is the extensive overlap of SUTs and CUTs with previously annotated features, which prompts questions regarding how these transcripts are generated, and whether they exert function. Single-gene studies have shown that transcription of SUTs and CUTs can be functional, through mechanisms involving the generated RNAs or their generation itself. So far, a complete transcriptome architecture including SUTs and CUTs has not been described in any organism. Knowledge about the position and genome-wide arrangement of these transcripts will be instrumental in understanding their function. Here we provide a comprehensive analysis of these transcripts in the context of multiple conditions, a mutant of the exosome machinery and different strain backgrounds of Saccharomyces cerevisiae. We show that both SUTs and CUTs display distinct patterns of distribution at specific locations. Most of the newly identified transcripts initiate from nucleosome-free regions (NFRs) associated with the promoters of other transcripts (mostly protein-coding genes), or from NFRs at the 3' ends of protein-coding genes. Likewise, about half of all coding transcripts initiate from NFRs associated with promoters of other transcripts. These data change our view of how a genome is transcribed, indicating that bidirectionality is an inherent feature of promoters. Such an arrangement of divergent and overlapping transcripts may provide a mechanism for local spreading of regulatory signals-that is, coupling the transcriptional regulation of neighbouring genes by means of transcriptional interference or histone modification.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2766638/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2766638/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Xu, Zhenyu -- Wei, Wu -- Gagneur, Julien -- Perocchi, Fabiana -- Clauder-Munster, Sandra -- Camblong, Jurgi -- Guffanti, Elisa -- Stutz, Francoise -- Huber, Wolfgang -- Steinmetz, Lars M -- P01 HG000205/HG/NHGRI NIH HHS/ -- P01 HG000205-19/HG/NHGRI NIH HHS/ -- R01 GM068717/GM/NIGMS NIH HHS/ -- R01 GM068717-06/GM/NIGMS NIH HHS/ -- England -- Nature. 2009 Feb 19;457(7232):1033-7. doi: 10.1038/nature07728. Epub 2009 Jan 25.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19169243" target="_blank"〉PubMed〈/a〉
    Keywords: Gene Expression Profiling ; Gene Expression Regulation, Fungal/*genetics ; Genes, Fungal/genetics ; Genes, Overlapping/genetics ; Genome, Fungal/genetics ; Models, Genetic ; Nucleosomes ; Promoter Regions, Genetic/*genetics ; RNA Stability/genetics ; RNA, Fungal/*genetics ; RNA, Untranslated/genetics ; Saccharomyces cerevisiae/classification/*genetics ; Saccharomyces cerevisiae Proteins/genetics ; Transcription, Genetic/*genetics
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Published by Nature Publishing Group (NPG)
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  • 2
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    Combinatorial binding predicts spatio-temporal cis-regulatory activity (2009)
    Nature Publishing Group (NPG)
    Details
    Publication Date: 2009-11-06
    Description: Development requires the establishment of precise patterns of gene expression, which are primarily controlled by transcription factors binding to cis-regulatory modules. Although transcription factor occupancy can now be identified at genome-wide scales, decoding this regulatory landscape remains a daunting challenge. Here we used a novel approach to predict spatio-temporal cis-regulatory activity based only on in vivo transcription factor binding and enhancer activity data. We generated a high-resolution atlas of cis-regulatory modules describing their temporal and combinatorial occupancy during Drosophila mesoderm development. The binding profiles of cis-regulatory modules with characterized expression were used to train support vector machines to predict five spatio-temporal expression patterns. In vivo transgenic reporter assays demonstrate the high accuracy of these predictions and reveal an unanticipated plasticity in transcription factor binding leading to similar expression. This data-driven approach does not require previous knowledge of transcription factor sequence affinity, function or expression, making it widely applicable.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Zinzen, Robert P -- Girardot, Charles -- Gagneur, Julien -- Braun, Martina -- Furlong, Eileen E M -- England -- Nature. 2009 Nov 5;462(7269):65-70. doi: 10.1038/nature08531.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉European Molecular Biology Laboratory, D-69117 Heidelberg, Germany.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19890324" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Animals, Genetically Modified ; Artificial Intelligence ; Chromatin Immunoprecipitation ; Conserved Sequence/genetics ; Databases, Genetic ; Drosophila melanogaster/*embryology/*genetics ; Enhancer Elements, Genetic/genetics ; *Gene Expression Regulation, Developmental/genetics ; Genes, Reporter/genetics ; Mesoderm/embryology/metabolism ; *Models, Genetic ; Protein Binding ; Time Factors ; Transcription Factors/*metabolism
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Published by Nature Publishing Group (NPG)
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  • 3
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    Dissecting the genetic basis of resistance to malaria parasites in Anopheles gambiae (2009)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2009-10-03
    Description: The ability of Anopheles gambiae mosquitoes to transmit Plasmodium parasites is highly variable between individuals. However, the genetic basis of this variability has remained unknown. We combined genome-wide mapping and reciprocal allele-specific RNA interference (rasRNAi) to identify the genomic locus that confers resistance to malaria parasites and demonstrated that polymorphisms in a single gene encoding the antiparasitic thioester-containing protein 1 (TEP1) explain a substantial part of the variability in parasite killing. The link between TEP1 alleles and resistance to malaria may offer new tools for controlling malaria transmission. The successful application of rasRNAi in Anopheles suggests that it could also be applied to other organisms where RNAi is feasible to dissect complex phenotypes to the level of individual quantitative trait alleles.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2959166/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2959166/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Blandin, Stephanie A -- Wang-Sattler, Rui -- Lamacchia, Marina -- Gagneur, Julien -- Lycett, Gareth -- Ning, Ye -- Levashina, Elena A -- Steinmetz, Lars M -- R01 GM068717/GM/NIGMS NIH HHS/ -- R01 GM068717-08/GM/NIGMS NIH HHS/ -- New York, N.Y. -- Science. 2009 Oct 2;326(5949):147-50. doi: 10.1126/science.1175241.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉European Molecular Biology Laboratory (EMBL), Meyerhofstrasse 1, 69117 Heidelberg, Germany.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19797663" target="_blank"〉PubMed〈/a〉
    Keywords: Alleles ; Amino Acid Sequence ; Animals ; Anopheles gambiae/*genetics/immunology/metabolism/*parasitology ; Chromosome Mapping ; *Genes, Insect ; Genome, Insect ; Immunity, Innate ; Insect Proteins/*genetics/*metabolism ; Insect Vectors/genetics/immunology/metabolism/parasitology ; Mice ; Models, Molecular ; Molecular Sequence Data ; Phenotype ; Plasmodium berghei/immunology/*physiology ; *Polymorphism, Genetic ; Quantitative Trait Loci ; RNA Interference
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
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  • 4
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    A yeast-based assay identifies drugs active against human mitochondrial disorders (2011)
    National Academy of Sciences
    Details
    Publication Date: 2011-06-29
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
    Published by National Academy of Sciences
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  • 5
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    Meiotic Interactors of a Mitotic Gene TAO3 Revealed by Functional Analysis of its Rare Variant (2016)
    Genetics Society of America (GSA)
    Details
    Publication Date: 2016-08-10
    Description: Studying the molecular consequences of rare genetic variants has the potential to identify novel and hitherto uncharacterized pathways causally contributing to phenotypic variation. Here, we characterize the functional consequences of a rare coding variant of TAO3 , previously reported to contribute significantly to sporulation efficiency variation in Saccharomyces cerevisiae . During mitosis, the common TAO3 allele interacts with CBK1 —a conserved NDR kinase. Both TAO3 and CBK1 are components of the RAM signaling network that regulates cell separation and polarization during mitosis. We demonstrate that the role of the rare allele TAO3 (4477C) in meiosis is distinct from its role in mitosis by being independent of ACE2 —a RAM network target gene. By quantitatively measuring cell morphological dynamics, and expressing the TAO3 (4477C) allele conditionally during sporulation, we show that TAO3 has an early role in meiosis. This early role of TAO3 coincides with entry of cells into meiotic division. Time-resolved transcriptome analyses during early sporulation identified regulators of carbon and lipid metabolic pathways as candidate mediators. We show experimentally that, during sporulation, the TAO3 (4477C) allele interacts genetically with ERT1 and PIP2 , regulators of the tricarboxylic acid cycle and gluconeogenesis metabolic pathways, respectively. We thus uncover a meiotic functional role for TAO3 , and identify ERT1 and PIP2 as novel regulators of sporulation efficiency. Our results demonstrate that studying the causal effects of genetic variation on the underlying molecular network has the potential to provide a more extensive understanding of the pathways driving a complex trait.
    Electronic ISSN: 2160-1836
    Topics: Biology
    Published by Genetics Society of America (GSA)
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  • 6
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    A yeast-based assay identifies drugs active against human mitochondrial disorders [Genetics] (2011)
    National Academy of Sciences
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    Publication Date: 2011-07-20
    Description: Due to the lack of relevant animal models, development of effective treatments for human mitochondrial diseases has been limited. Here we establish a rapid, yeast-based assay to screen for drugs active against human inherited mitochondrial diseases affecting ATP synthase, in particular NARP (neuropathy, ataxia, and retinitis pigmentosa) syndrome. This method is based on the conservation of mitochondrial function from yeast to human, on the unique ability of yeast to survive without production of ATP by oxidative phosphorylation, and on the amenability of the yeast mitochondrial genome to site-directed mutagenesis. Our method identifies chlorhexidine by screening a chemical library and oleate through a candidate approach. We show that these molecules rescue a number of phenotypes resulting from mutations affecting ATP synthase in yeast. These compounds are also active on human cybrid cells derived from NARP patients. These results validate our method as an effective high-throughput screening approach to identify drugs active in the treatment of human ATP synthase disorders and suggest that this type of method could be applied to other mitochondrial diseases.
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
    Published by National Academy of Sciences
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  • 7
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    Quantification and discovery of sequence determinants of protein-per-mRNA amount in 29 human tissues (2019)
    Springer Nature
    Details
    Publication Date: 2019
    Description: 〈p〉Despite their importance in determining protein abundance, a comprehensive catalogue of sequence features controlling protein-to-mRNA (PTR) ratios and a quantification of their effects are still lacking. Here, we quantified PTR ratios for 11,575 proteins across 29 human tissues using matched transcriptomes and proteomes. We estimated by regression the contribution of known sequence determinants of protein synthesis and degradation in addition to 45 mRNA and 3 protein sequence motifs that we found by association testing. While PTR ratios span more than 2 orders of magnitude, our integrative model predicts PTR ratios at a median precision of 3.2-fold. A reporter assay provided functional support for two novel UTR motifs, and an immobilized mRNA affinity competition-binding assay identified motif-specific bound proteins for one motif. Moreover, our integrative model led to a new metric of codon optimality that captures the effects of codon frequency on protein synthesis and degradation. Altogether, this study shows that a large fraction of PTR ratio variation in human tissues can be predicted from sequence, and it identifies many new candidate post-transcriptional regulatory elements.〈/p〉
    Electronic ISSN: 1744-4292
    Topics: Biology
    Published by Springer Nature on behalf of The European Molecular Biology Organization (EMBO).
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  • 8
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    A deep proteome and transcriptome abundance atlas of 29 healthy human tissues (2019)
    Springer Nature
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    Publication Date: 2019
    Description: 〈p〉Genome-, transcriptome- and proteome-wide measurements provide insights into how biological systems are regulated. However, fundamental aspects relating to which human proteins exist, where they are expressed and in which quantities are not fully understood. Therefore, we generated a quantitative proteome and transcriptome abundance atlas of 29 paired healthy human tissues from the Human Protein Atlas project representing human genes by 18,072 transcripts and 13,640 proteins including 37 without prior protein-level evidence. The analysis revealed that hundreds of proteins, particularly in testis, could not be detected even for highly expressed mRNAs, that few proteins show tissue-specific expression, that strong differences between mRNA and protein quantities within and across tissues exist and that protein expression is often more stable across tissues than that of transcripts. Only 238 of 9,848 amino acid variants found by exome sequencing could be confidently detected at the protein level showing that proteogenomics remains challenging, needs better computational methods and requires rigorous validation. Many uses of this resource can be envisaged including the study of gene/protein expression regulation and biomarker specificity evaluation.〈/p〉
    Electronic ISSN: 1744-4292
    Topics: Biology
    Published by Springer Nature on behalf of The European Molecular Biology Organization (EMBO).
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  • 9
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    Simultaneous characterization of sense and antisense genomic processes by the double-stranded hidden Markov model (2016)
    Oxford University Press
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    Publication Date: 2016-03-19
    Description: Hidden Markov models (HMMs) have been extensively used to dissect the genome into functionally distinct regions using data such as RNA expression or DNA binding measurements. It is a challenge to disentangle processes occurring on complementary strands of the same genomic region. We present the double-stranded HMM (dsHMM), a model for the strand-specific analysis of genomic processes. We applied dsHMM to yeast using strand specific transcription data, nucleosome data, and protein binding data for a set of 11 factors associated with the regulation of transcription.The resulting annotation recovers the mRNA transcription cycle (initiation, elongation, termination) while correctly predicting strand-specificity and directionality of the transcription process. We find that pre-initiation complex formation is an essentially undirected process, giving rise to a large number of bidirectional promoters and to pervasive antisense transcription. Notably, 12% of all transcriptionally active positions showed simultaneous activity on both strands. Furthermore, dsHMM reveals that antisense transcription is specifically suppressed by Nrd1, a yeast termination factor.
    Keywords: Computational Methods, Genomics
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
    Published by Oxford University Press
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  • 10
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    Yeast Growth Plasticity Is Regulated by Environment-Specific Multi-QTL Interactions (2014)
    Genetics Society of America (GSA)
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    Publication Date: 2014-05-17
    Description: For a unicellular, nonmotile organism like Saccharomyces cerevisiae , carbon sources act as nutrients and as signaling molecules; consequently, these sources affect various fitness parameters, including growth. It is therefore advantageous for yeast strains to adapt their growth to carbon source variation. The ability of a given genotype to manifest different phenotypes in varying environments is known as phenotypic plasticity. To identify quantitative trait loci (QTL) that drive plasticity in growth, two growth parameters (growth rate and biomass) were measured for a set of meiotic recombinants of two genetically divergent yeast strains grown in different carbon sources. To identify QTL contributing to plasticity across pairs of environments, gene–environment interaction mapping was performed, which identified several QTL that have a differential effect across environments, some of which act antagonistically across pairs of environments. Multi-QTL analysis identified loci interacting with previously known growth affecting QTL as well as novel two-QTL interactions that affect growth. A QTL that had no significant independent effect was found to alter growth rate and biomass for several carbon sources through two-QTL interactions. Our study demonstrates that environment-specific epistatic interactions contribute to the growth plasticity in yeast. We propose that a targeted scan for epistatic interactions, such as the one described here, can help unravel mechanisms regulating phenotypic plasticity.
    Electronic ISSN: 2160-1836
    Topics: Biology
    Published by Genetics Society of America (GSA)
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