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Timothy R Hughes

Publications and source records attributed to Timothy R Hughes.

At least 37 records · Page 2Linked to original sources
PubMed2006

Microarray analysis of RNA processing and modification.

Most RNAs are processed from precursors by mechanisms that include covalent modifications, as well as the removal of flanking and intervening sequences. Traditional methods to detect RNA processing, such as Northern blotting, reverse-transcribed polymerase chain reaction and primer extension assays, are difficult to apply on a large scale. This chapter outlines several methods for analysis of the processing and modification of RNA using microarrays. These encompass protocols for the application of homemade microarrays and custom-designed commercial inkjet microarrays and are tailored for the large-scale analysis of processing of mRNA, including alternative splicing, as well as for the analysis of processing and modification of noncoding RNA. This chapter also describes practical aspects of microarray design, sample preparation, hybridization, and data analysis.

Animals↗
PubMed2006

GenRate: a generative model that reveals novel transcripts in genome-tiling microarray data.

Genome-wide microarray designs containing millions to hundreds of millions of probes are available for a variety of mammals, including mouse and human. These genome tiling arrays can potentially lead to significant advances in science and medicine, e.g., by indicating new genes and alternative primary and secondary transcripts. While bottom-up pattern matching techniques (e.g., hierarchical clustering) can be used to find gene structures in microarray data, we believe the many interacting hidden variables and complex noise patterns more naturally lead to an analysis based on generative models. We describe a generative model of tiling data and show how the sum-product algorithm can be used to infer hybridization noise, probe sensitivity, new transcripts, and alternative transcripts. The method, called GenRate, maximizes a global scoring function that enables multiple transcripts to compete for ownership of putative probes. We apply GenRate to a new exon tiling dataset from mouse chromosome 4 and show that it makes significantly more predictions than a previously described hierarchical clustering method at the same false positive rate. GenRate correctly predicts many known genes and also predicts new gene structures. As new problems arise, additional hidden variables can be incorporated into the model in a principled fashion, so we believe that GenRate will prove to be a useful tool in the new era of genome-wide tiling microarray analysis.

Animals↗
PubMed2006

The splicing factor Prp43p, a DEAH box ATPase, functions in ribosome biogenesis.

Biogenesis of the small and large ribosomal subunits requires modification, processing, and folding of pre-rRNA to yield mature rRNA. Here, we report that efficient biogenesis of both small- and large-subunit rRNAs requires the DEAH box ATPase Prp43p, a pre-mRNA splicing factor. By steady-state analysis, a cold-sensitive prp43 mutant accumulates 35S pre-rRNA and depletes 20S, 27S, and 7S pre-rRNAs, precursors to the small- and large-subunit rRNAs. By pulse-chase analysis, the prp43 mutant is defective in the formation of 20S and 27S pre-rRNAs and in the accumulation of 18S and 25S mature rRNAs. Wild-type Prp43p immunoprecipitates pre-rRNAs and mature rRNAs, indicating a direct role in ribosome biogenesis. The Prp43p-Q423N mutant immunoprecipitates 27SA2 pre-rRNA threefold more efficiently than the wild type, suggesting a critical role for Prp43p at the earliest stages of large-subunit biogenesis. Consistent with an early role for Prp43p in ribosome biogenesis, Prp43p immunoprecipitates the majority of snoRNAs; further, compared to the wild type, the prp43 mutant generally immunoprecipitates the snoRNAs more efficiently. In the prp43 mutant, the snoRNA snR64 fails to methylate residue C2337 in 27S pre-rRNA, suggesting a role in snoRNA function. We propose that Prp43p promotes recycling of snoRNAs and biogenesis factors during pre-rRNA processing, similar to its recycling role in pre-mRNA splicing. The dual function for Prp43p in the cell raises the possibility that ribosome biogenesis and pre-mRNA splicing may be coordinately regulated.

Adenosine Triphosphatases↗
PubMed2005

Cotranscriptional set2 methylation of histone H3 lysine 36 recruits a repressive Rpd3 complex.

The yeast histone deacetylase Rpd3 can be recruited to promoters to repress transcription initiation. Biochemical, genetic, and gene-expression analyses show that Rpd3 exists in two distinct complexes. The smaller complex, Rpd3C(S), shares Sin3 and Ume1 with Rpd3C(L) but contains the unique subunits Rco1 and Eaf3. Rpd3C(S) mutants exhibit phenotypes remarkably similar to those of Set2, a histone methyltransferase associated with elongating RNA polymerase II. Chromatin immunoprecipitation and biochemical experiments indicate that the chromodomain of Eaf3 recruits Rpd3C(S) to nucleosomes methylated by Set2 on histone H3 lysine 36, leading to deacetylation of transcribed regions. This pathway apparently acts to negatively regulate transcription because deleting the genes for Set2 or Rpd3C(S) bypasses the requirement for the positive elongation factor Bur1/Bur2.

Acetylation↗
PubMed2005

The synthetic genetic interaction spectrum of essential genes.

The nature of synthetic genetic interactions involving essential genes (those required for viability) has not been previously examined in a broad and unbiased manner. We crossed yeast strains carrying promoter-replacement alleles for more than half of all essential yeast genes to a panel of 30 different mutants with defects in diverse cellular processes. The resulting genetic network is biased toward interactions between functionally related genes, enabling identification of a previously uncharacterized essential gene (PGA1) required for specific functions of the endoplasmic reticulum. But there are also many interactions between genes with dissimilar functions, suggesting that individual essential genes are required for buffering many cellular processes. The most notable feature of the essential synthetic genetic network is that it has an interaction density five times that of nonessential synthetic genetic networks, indicating that most yeast genetic interactions involve at least one essential gene.

Gene Expression Regulation, Fungal↗
PubMed2005

Genome-wide analysis of mouse transcripts using exon microarrays and factor graphs.

Recent mammalian microarray experiments detected widespread transcription and indicated that there may be many undiscovered multiple-exon protein-coding genes. To explore this possibility, we labeled cDNA from unamplified, polyadenylation-selected RNA samples from 37 mouse tissues to microarrays encompassing 1.14 million exon probes. We analyzed these data using GenRate, a Bayesian algorithm that uses a genome-wide scoring function in a factor graph to infer genes. At a stringent exon false detection rate of 2.7%, GenRate detected 12,145 gene-length transcripts and confirmed 81% of the 10,000 most highly expressed known genes. Notably, our analysis showed that most of the 155,839 exons detected by GenRate were associated with known genes, providing microarray-based evidence that most multiple-exon genes have already been identified. GenRate also detected tens of thousands of potential new exons and reconciled discrepancies in current cDNA databases by 'stitching' new transcribed regions into previously annotated genes.

Algorithms↗
PubMed2005

BUR kinase selectively regulates H3 K4 trimethylation and H2B ubiquitylation through recruitment of the PAF elongation complex.

Histone-lysine methylation is linked to transcriptional regulation and the control of epigenetic inheritance. Lysine residues can be mono-, di-, or trimethylated, and it has been suggested that each methylation state of a given lysine may impart a unique biological function. In yeast, histone H3 lysine 4 (K4) is mono-, di-, and trimethylated by the Set1 histone methyltransferase. Previous studies show that Set1 associates with RNA polymerase II and demarcates transcriptionally active genes with K4 trimethylation. To determine whether K4 trimethylation might be selectively regulated, we screened a library of yeast deletion mutants associated with transcriptional regulation and chromatin function. We identified BUR2, a cyclin for the Bur1/2 (BUR) cyclin-dependent protein kinase, as a specific regulator of K4 trimethylation. Surprisingly, BUR also regulated H2B monoubiquitylation, whereas other K4 methylation states and H3 lysine 79 (K79) methylation were unaffected. Synthetic genetic array (SGA) and transcription microarray analyses of a BUR2 mutant revealed that BUR is functionally similar to the PAF, Rad6, and Set1 complexes. These data suggest that BUR acts upstream of these factors to control their function. In support, we show that recruitment of the PAF elongation complex to genes is significantly impaired in a BUR2 deletion. Our data reveal a novel function for the BUR kinase in transcriptional regulation through the selective control of histone modifications.

Chromatin Immunoprecipitation↗
PubMed2005

Lipoprotein lipase is expressed by glomerular mesangial cells.

Lipoprotein lipase expressed by the vasculature plays a key role in atherogenesis by enhancing the binding and uptake of lipoproteins and, thereby, leading to the formation of lipid-loaded foam cells. Hyperlipidemia also accelerates the progression of glomerular diseases and addition of exogenous lipoprotein lipase to mesangial cells has been shown to lead to an enhanced binding of lipoproteins to these cells. Despite such potential importance, the expression of endogenous lipoprotein lipase by cells of the glomeruli has, as yet, not been investigated. We show here for the first time that mesangial cells, but not epithelial cells, express lipoprotein lipase. The minimal lipoprotein lipase gene promoter was active in mesangial cells and inhibited by interferon-gamma, which is known to suppress its expression.

Animals↗
PubMed2005

A systematic search for new mammalian noncoding RNAs indicates little conserved intergenic transcription.

BACKGROUND: Systematic identification and functional characterization of novel types of noncoding (nc)RNA in genomes is more difficult than it is for protein coding mRNAs, since ncRNAs typically do not possess sequence features such as splicing or translation signals, or long open reading frames. Recent "tiling" microarray studies have reported that a surprisingly larger proportion of mammalian genomes is transcribed than was previously anticipated. However, these non-genic transcripts often appear to be low in abundance, and their functional significance is not known. RESULTS: To systematically search for functional ncRNAs, we designed microarrays to detect 3,478 intergenic and intronic sequences that are conserved between the human, mouse, and rat genomes, and that score highly by other criteria that characterize ncRNAs. We probed these arrays with total RNA isolated from 16 wild-type mouse tissues. Among 55 candidates for highly-expressed novel ncRNAs tested by northern blotting, eight were confirmed as small, highly-and ubiquitously-expressed RNAs in mouse. Of the eight, five were also detected in rat tissues, but none were detected at appreciable levels in human tissues or cultured cells. CONCLUSION: Since the sequence and expression of most known coding transcripts and functional ncRNAs is conserved between human and mouse, the lack of northern-detectable expression in human cells and tissues of the novel mouse and rat ncRNAs that we identified suggests that they are not functional or possibly have rodent-specific functions. Our results confirm that relatively little of the intergenic sequence conserved between human, mouse and rat is transcribed at high levels in mammalian tissues, possibly suggesting a limited role for transcribed intergenic and intronic sequences as independent functional elements.

Animals↗
PubMed2005

Biochemical and genomic analysis of substrate recognition by the double-stranded RNA binding domain of yeast RNase III.

Members of the RNase III family of double-stranded RNA (dsRNA) endonucleases are important enzymes of RNA metabolism in eukaryotic cells. Rnt1p is the only known member of the RNase III family of endonucleases in Saccharomyces cerevisiae. Previous studies have shown that Rnt1p cleaves dsRNA capped by a conserved AGNN tetraloop motif, which is a major determinant for Rnt1p binding and cleavage. The solution structure of the dsRNA-binding domain (dsRBD) of Rnt1p bound to a cognate RNA substrate revealed the structural basis for binding of the conserved tetraloop motif by alpha-helix 1 of the dsRBD. In this study, we have analyzed extensively the effects of mutations of helix 1 residues that contact the RNA. We show, using microarray analysis, that mutations of these amino acids induce substrate-specific processing defects in vivo. Cleavage kinetics and binding studies show that these mutations affect RNA cleavage and binding in vitro to different extents and suggest a function for some specific amino acids of the dsRBD in the catalytic positioning of the enzyme. Moreover, we show that 2'-hydroxyl groups of nucleotides of the tetraloop or adjacent base pairs predicted to interact with residues of alpha-helix 1 are important for Rnt1p cleavage in vitro. This study underscores the importance of a few amino acid contacts for positioning of a dsRBD onto its RNA target, and implicates the specific orientation of helix 1 on the RNA for proper positioning of the catalytic domain.

Base Sequence↗
PubMed2005

Global analysis of yeast RNA processing identifies new targets of RNase III and uncovers a link between tRNA 5' end processing and tRNA splicing.

We used a microarray containing probes that tile all known yeast noncoding RNAs (ncRNAs) to investigate RNA biogenesis on a global scale. The microarray verified a general loss of Box C/D snoRNAs in the TetO7-BCD1 mutant, which had previously been shown for only a handful of snoRNAs. We also monitored the accumulation of improperly processed flank sequences of pre-RNAs in strains depleted for known RNA nucleases, including RNase III, Dbr1p, Xrn1p, Rat1p and components of the exosome and RNase P complexes. Among the hundreds of aberrant RNA processing events detected, two novel substrates of Rnt1p (the RUF1 and RUF3 snoRNAs) were identified. We also identified a relationship between tRNA 5' end processing and tRNA splicing, processes that were previously thought to be independent. This analysis demonstrates the applicability of microarray technology to the study of global analysis of ncRNA synthesis and provides an extensive directory of processing events mediated by yeast ncRNA processing enzymes.

Gene Expression Regulation, Fungal↗
PubMed2005

Detection and discovery of RNA modifications using microarrays.

Using a microarray that tiles all known yeast non-coding RNAs, we compared RNA from wild-type cells with RNA from mutants encoding known and putative RNA modifying enzymes. We show that at least five types of RNA modification (dihydrouridine, m1G, m2(2)G, m1A and m6(2)A) catalyzed by 10 different enzymes (Trm1p, Trm5, Trm10p, Dus1p-Dus4p, Dim1p, Gcd10p and Gcd14p) can be detected by virtue of differential hybridization to oligonucleotides on the array that are complementary to the modified sites. Using this approach, we identified a previously undetected m1A modification in GlnCTG tRNA, the formation of which is catalyzed by the Gcd10/Gcd14 complex. complex.

Mutation↗
PubMed2005

Alternative splicing of conserved exons is frequently species-specific in human and mouse.

In this article, we provide evidence that a frequent source of diversity between mammalian transcripts occurs as a consequence of species-specific alternative splicing (AS) of conserved exons. Using a highly predictive computational method, we estimate that >11% of human and mouse cassette alternative exons undergo skipping in one species but constitutively splicing in the other. These species-specific AS events are predicted to modify conserved domains in proteins more frequently than other classes of AS events. The results thus provide evidence that species-specific AS of conserved exons constitutes an additional potential source of complexity and species-specific differences between mammals.

Alternative Splicing↗
PubMed2005

GenXHC: a probabilistic generative model for cross-hybridization compensation in high-density genome-wide microarray data.

MOTIVATION: Microarray designs containing millions to hundreds of millions of probes that tile entire genomes are currently being released. Within the next 2 months, our group will release a microarray data set containing over 12,000,000 microarray measurements taken from 37 mouse tissues. A problem that will become increasingly significant in the upcoming era of genome-wide exon-tiling microarray experiments is the removal of cross-hybridization noise. We present a probabilistic generative model for cross-hybridization in microarray data and a corresponding variational learning method for cross-hybridization compensation, GenXHC, that reduces cross-hybridization noise by taking into account multiple sources for each mRNA expression level measurement, as well as prior knowledge of hybridization similarities between the nucleotide sequences of microarray probes and their target cDNAs. RESULTS: The algorithm is applied to a subset of an exon-resolution genome-wide Agilent microarray data set for chromosome 16 of Mus musculus and is found to produce statistically significant reductions in cross-hybridization noise. The denoised data is found to produce enrichment in multiple gene ontology-biological process (GO-BP) functional groups. The algorithm is found to outperform robust multi-array analysis, another method for cross-hybridization compensation.

Animals↗
PubMed2005

Esf2p, a U3-associated factor required for small-subunit processome assembly and compaction.

Esf2p is the Saccharomyces cerevisiae homolog of mouse ABT1, a protein previously identified as a putative partner of the TATA-element binding protein. However, large-scale studies have indicated that Esf2p is primarily localized to the nucleolus and that it physically associates with pre-rRNA processing factors. Here, we show that Esf2p-depleted cells are defective for pre-rRNA processing at the early nucleolar cleavage sites A0 through A2 and consequently are inhibited for 18S rRNA synthesis. Esf2p was stably associated with the 5' external transcribed spacer (ETS) and the box C+D snoRNA U3, as well as additional box C+D snoRNAs and proteins enriched within the small-subunit (SSU) processome/90S preribosomes. Esf2p colocalized on glycerol gradients with 90S preribosomes and slower migrating particles containing 5' ETS fragments. Strikingly, upon Esf2p depletion, chromatin spreads revealed that SSU processome assembly and compaction are inhibited and glycerol gradient analysis showed that U3 remains associated within 90S preribosomes. This suggests that in the absence of proper SSU processome assembly, early pre-rRNA processing is inhibited and U3 is not properly released from the 35S pre-rRNAs. The identification of ABT1 in a large-scale analysis of the human nucleolar proteome indicates that its role may also be conserved in mammals.

Cell Nucleolus↗
PubMed2005

H2B ubiquitin protease Ubp8 and Sgf11 constitute a discrete functional module within the Saccharomyces cerevisiae SAGA complex.

The SAGA complex is a multisubunit protein complex involved in transcriptional regulation in Saccharomyces cerevisiae. SAGA combines proteins involved in interactions with DNA-bound activators and TATA-binding protein (TBP), as well as enzymes for histone acetylation (Gcn5) and histone deubiquitylation (Ubp8). We recently showed that H2B ubiquitylation and Ubp8-mediated deubiquitylation are both required for transcriptional activation. For this study, we investigated the interaction of Ubp8 with SAGA. Using mutagenesis, we identified a putative zinc (Zn) binding domain within Ubp8 as being critical for the association with SAGA. The Zn binding domain is required for H2B deubiquitylation and for growth on media requiring Ubp8's function in gene activation. Furthermore, we identified an 11-kDa subunit of SAGA, Sgf11, and showed that it is required for the Ubp8 association with SAGA and for H2B deubiquitylation. Different approaches indicated that the functions of Ubp8 and Sgf11 are related and separable from those of other components of SAGA. In particular, the profiles of Ubp8 and Sgf11 deletions were remarkably similar in microarray analyses and synthetic genetic interactions and were distinct from those of the Spt3 and Spt8 subunits of SAGA, which are involved in TBP regulation. These data indicate that Ubp8 and Sgf11 likely represent a new functional module within SAGA that is involved in gene regulation through H2B deubiquitylation.

Amino Acid Sequence↗
PubMed2005

Genrate: a generative model that finds and scores new genes and exons in genomic microarray data.

Recently, researchers have made some progress in using microarrays to validate predicted exons in genome sequence and find new gene structures. However, current methods rely on separately making threshold-based decisions on intensity of expression, similarity of expression profiles, and arrangements of exons in the genome. We have taken a Bayesian approach and developed GenRate, a generative model that accounts for both genome-wide expression data taken from multiple conditions (e.g. tissues) and co-location and density of probes in DNA sequence data. GenRate balances probabilistic evidence derived from different sources and outputs scores (log-likelihoods) for each gene model, enabling the estimation of false-positive and false-negative rates. The model has a number of local minima that is exponential in the length of the DNA sequence data, so direct application of the EM learning algorithm produces poor results. We describe a novel way of parameterizing the model using examples from the data set, so that good solutions are found using an efficient algorithm. We apply GenRate to a subset of mouse genome-wide expression data that we have created, and discuss the statistical significance of the genes found by GenRate. Three of the highest-ranking gene structures found by GenRate, each containing thousands of bases from the genome, are confirmed using RT-PCR experiments.

Animals↗