High-fat high-sugar diet induces polycystic ovary syndrome in a rodent model.

Obesity has been linked with a host of metabolic and reproductive disorders including polycystic ovary syndrome (PCOS). While a clear association exists between obesity and PCOS, the exact nature of this relationship remains unexplained. The primary symptoms of PCOS include hyperandrogenism, anovulation, and polycystic ovaries. Most animal models utilize androgen treatments to induce PCOS. However, these models often fail to address the underlying causes of the disease and do not effectively reproduce key metabolic features such as hyperinsulinemia. Here, we present a novel rodent model of diet-induced obesity that recapitulates both the metabolic and reproductive phenotypes of human PCOS. Rats on a high-fat high-sugar (HFHS) diet not only demonstrated signs of metabolic impairment, but they also developed polycystic ovaries and experienced irregular estrous cycling. Though hyperandrogenism was not characteristic of HFHS animals as a group, elevated testosterone levels were predictive of high numbers of ovarian cysts. Alterations in steroidogenesis and folliculogenesis gene expression were also found via RNA sequencing of ovarian tissue. Importantly, the PCOS-like symptoms induced in these rats may share a similar etiology to PCOS in humans. Therefore, this model offers a unique opportunity to study PCOS at its genesis rather than following the development of disease symptoms.

A genetic interaction map of RNA-processing factors reveals links between Sem1/Dss1-containing complexes and mRNA export and splicing.

We used a quantitative, high-density genetic interaction map, or E-MAP (Epistatic MiniArray Profile), to interrogate the relationships within and between RNA-processing pathways. Due to their complexity and the essential roles of many of the components, these pathways have been difficult to functionally dissect. Here, we report the results for 107,155 individual interactions involving 552 mutations, 166 of which are hypomorphic alleles of essential genes. Our data enabled the discovery of links between components of the mRNA export and splicing machineries and Sem1/Dss1, a component of the 19S proteasome. In particular, we demonstrate that Sem1 has a proteasome-independent role in mRNA export as a functional component of the Sac3-Thp1 complex. Sem1 also interacts with Csn12, a component of the COP9 signalosome. Finally, we show that Csn12 plays a role in pre-mRNA splicing, which is independent of other signalosome components. Thus, Sem1 is involved in three separate and functionally distinct complexes.

Complex gene expression in the dragline silk producing glands of the Western black widow (Latrodectus hesperus).

BACKGROUND: Orb-web and cob-web weaving spiders spin dragline silk fibers that are among the strongest materials known. Draglines are primarily composed of MaSp1 and MaSp2, two spidroins (spider fibrous proteins) expressed in the major ampullate (MA) silk glands. Prior genetic studies of dragline silk have focused mostly on determining the sequence of these spidroins, leaving other genetic aspects of silk synthesis largely uncharacterized. RESULTS: Here, we used deep sequencing to profile gene expression patterns in the Western black widow, Latrodectus hesperus. We sequenced millions of 3'-anchored "tags" of cDNAs derived either from MA glands or control tissue (cephalothorax) mRNAs, then associated the tags with genes by compiling a reference database from our newly constructed normalized L. hesperus cDNA library and published L. hesperus sequences. We were able to determine transcript abundance and alternative polyadenylation of each of three loci encoding MaSp1. The ratio of MaSp1:MaSp2 transcripts varied between individuals, but on average was similar to the estimated ratio of MaSp1:MaSp2 in dragline fibers. We also identified transcription of TuSp1 in MA glands, another spidroin family member that encodes the primary component of egg-sac silk, synthesized in tubuliform glands. In addition to the spidroin paralogs, we identified 30 genes that are more abundantly represented in MA glands than cephalothoraxes and represent new candidates for involvement in spider silk synthesis. CONCLUSIONS: Modulating expression rates of MaSp1 variants as well as MaSp2 and TuSp1 could lead to differences in mechanical properties of dragline fibers. Many of the newly identified candidate genes likely encode secreted proteins, suggesting they could be incorporated into dragline fibers or assist in protein processing and fiber assembly. Our results demonstrate previously unrecognized transcript complexity in spider silk glands.

Diverse environmental stresses elicit distinct responses at the level of pre-mRNA processing in yeast.

Gene expression in eukaryotic cells is profoundly influenced by the post-transcriptional processing of mRNAs, including the splicing of introns in the nucleus and both nuclear and cytoplasmic degradation pathways. These processes have the potential to affect both the steady-state levels and the kinetics of changes to levels of intron-containing transcripts. Here we report the use of a splicing isoform-specific microarray platform to investigate the effects of diverse stress conditions on pre-mRNA processing. Interestingly, we find that diverse stresses cause distinct patterns of changes at this level. The responses we observed are most dramatic for the RPGs and can be categorized into three major classes. The first is characterized by accumulation of RPG pre-mRNA and is seen in multiple types of amino acid starvation regimes; the magnitude of splicing inhibition correlates with the severity of the stress. The second class is characterized by a rapid decrease in both pre- and mature RPG mRNA and is seen in many stresses that inactivate the TORC1 kinase complex. These decreases depend on nuclear turnover of the intron-containing pre-RNAs. The third class is characterized by a decrease in RPG pre-mRNA, with only a modest reduction in the mature species; this response is observed in hyperosmotic and cation-toxic stresses. We show that casein kinase 2 (CK2) makes important contributions to the changes in pre-mRNA processing, particularly for the first two classes of stress responses. In total, our data suggest that complex post-transcriptional programs cooperate to fine-tune expression of intron-containing transcripts in budding yeast.

Translating Ribosome Affinity Purification (TRAP) and Bioinformatic RNA-Seq Analysis in Post-metamorphic Xenopus laevis.

Recent technical advances provide the ability to isolate and purify mRNAs from genetically distinct cell types so as to provide a broader view of gene expression as they relate to gene networks. These tools allow the genome of organisms undergoing different developmental or diseased states and environmental or behavioral conditions to be compared. Translating ribosome affinity purification (TRAP), a method using transgenic animals expressing a ribosomal affinity tag (ribotag) that targets ribosome-bound mRNAs, allows for the rapid isolation of genetically distinct populations of cells. In this chapter, we provide stepwise methods for carrying out an updated protocol for using the TRAP method in the South African clawed frog Xenopus laevis. A discussion of the experimental design and necessary controls and their rationale, along with a description of the bioinformatic steps involved in analyzing the Xenopus laevis translatome using TRAP and RNA-Seq, is also provided.

Resting metabolic rate, abdominal fat pad and liver metabolic gene expression in female rats provided a snacking diet from weaning to adulthood.

Our female rat model with continuous, ad libitum access to snacks and chow from weaning to adulthood closely mimics human feeding behavior from childhood onwards. It causes weight gain, enlarged abdominal fat pads, reduced insulin sensitivity and leptin resistance without an increase in total caloric intake. Our current study investigated if this change in energy partitioning is due to a decrease in resting metabolic rate (RMR). In addition, we determined if carbohydrate and lipid metabolism changes in abdominal fat pads and liver. RMR, using indirect calorimetry, was determined in control and snacking rats every two weeks from Days 28-29 to Days 76-77. RMR decreased with age in both groups, but there was no difference between snacking and control rats at any age. At termination, abdominal fat pads (parametrial, retroperitoneal and mesenteric) and liver samples were collected for determination of gene expression for 21 genes involved in carbohydrate and lipid metabolism using RT-qPCR. Analysis of gene expression data showed a striking difference between metabolic profiles of control and snacking rats in abdominal fat pads and liver, with a distinct segregation of genes for both lipid and carbohydrate metabolism that correlated with an increase in body weight and fat pad weights. Genes involved in lipogenesis were upregulated in abdominal fat pads, while genes involved in adipogenesis, and lipid recycling were upregulated in the liver. In conclusion, snacking in addition to chow from weaning in female rats causes a repartitioning of energy that is not due to depressed RMR in snacking rats. Rather, snacking from weaning causes a shift in gene expression resulting in energy partitioning toward enhanced abdominal fat pad lipogenesis, and adipogenesis and lipid recycling in liver.

Genome-wide search for yeast RNase P substrates reveals role in maturation of intron-encoded box C/D small nucleolar RNAs.

Ribonuclease P (RNase P) is an essential endonuclease responsible for the 5'-end maturation of precursor tRNAs. Bacterial RNase P also processes precursor 4.5S RNA, tmRNA, 30S preribosomal RNA, and several reported protein-coding RNAs. Eukaryotic nuclear RNase P is far more complex than in the bacterial form, employing multiple essential protein subunits in addition to the catalytic RNA subunit. RNomic studies have shown that RNase P binds other RNAs in addition to tRNAs, but no non-tRNA substrates have previously been identified. Additional substrates were identified by using a multipronged approach in the budding yeast Saccharomyces cerevisiae. First, RNase P-dependant changes in RNA abundance were examined on whole-genome microarrays by using strains containing temperature sensitive (TS) mutations in two of the essential RNase P subunits, Pop1p and Rpr1r. Second, RNase P was rapidly affinity-purified, and copurified RNAs were identified by using a genome-wide microarray. Third, to identify RNAs that do not change abundance when RNase P is depleted but accumulate as larger precursors, >80 potential small RNA substrates were probed directly by Northern blot analysis with RNA from the RNase P TS mutants. Numerous potential substrates were identified, of which we characterized the box C/D intron-encoded small nucleolar RNAs (snoRNAs), because these both copurify with RNase P and accumulate larger forms in the RNase P temperature-sensitive mutants. It was previously known that two pathways existed for excising these snoRNAs, one using the pre-mRNA splicing path and the other that was independent of splicing. RNase P appears to participate in the splicing-independent path for the box C/D intron-encoded snoRNAs.

Transcript specificity in yeast pre-mRNA splicing revealed by mutations in core spliceosomal components.

Appropriate expression of most eukaryotic genes requires the removal of introns from their pre-messenger RNAs (pre-mRNAs), a process catalyzed by the spliceosome. In higher eukaryotes a large family of auxiliary factors known as SR proteins can improve the splicing efficiency of transcripts containing suboptimal splice sites by interacting with distinct sequences present in those pre-mRNAs. The yeast Saccharomyces cerevisiae lacks functional equivalents of most of these factors; thus, it has been unclear whether the spliceosome could effectively distinguish among transcripts. To address this question, we have used a microarray-based approach to examine the effects of mutations in 18 highly conserved core components of the spliceosomal machinery. The kinetic profiles reveal clear differences in the splicing defects of particular pre-mRNA substrates. Most notably, the behaviors of ribosomal protein gene transcripts are generally distinct from other intron-containing transcripts in response to several spliceosomal mutations. However, dramatically different behaviors can be seen for some pairs of transcripts encoding ribosomal protein gene paralogs, suggesting that the spliceosome can readily distinguish between otherwise highly similar pre-mRNAs. The ability of the spliceosome to distinguish among its different substrates may therefore offer an important opportunity for yeast to regulate gene expression in a transcript-dependent fashion. Given the high level of conservation of core spliceosomal components across eukaryotes, we expect that these results will significantly impact our understanding of how regulated splicing is controlled in higher eukaryotes as well.

An introduction to microarray data analysis and visualization.

Microarray experiments offer a potential wealth of information but also present a significant data analysis challenge. A typical microarray data analysis project involves many interconnected manipulations of the raw experimental values, and each stage of the analysis challenges the experimenter to make decisions regarding the proper selection and usage of a variety of statistical techniques. In this chapter, we will provide an overview of each of the major stages of a typical yeast microarray project. We will focus on providing a solid conceptual foundation to help the reader better understand each of these steps, will highlight useful software tools, and will suggest best practices where applicable.

Rapid, transcript-specific changes in splicing in response to environmental stress.

While the core splicing machinery is highly conserved between budding yeast and mammals, the absence of alternative splicing in Saccharomyces cerevisiae raises the fundamental question of why introns have been retained in approximately 5% of the 6000 genes. Because ribosomal protein-encoding genes (RPGs) are highly overrepresented in the set of intron-containing genes, we tested the hypothesis that splicing of these transcripts would be regulated under conditions in which translation is impaired. Using a microarray-based strategy, we find that, within minutes after the induction of amino acid starvation, the splicing of the majority of RPGs is specifically inhibited. In response to an unrelated stress, exposure to toxic levels of ethanol, splicing of a different group of transcripts is inhibited, while the splicing of a third set is actually improved. We propose that regulation of splicing, like transcription, can afford rapid and specific changes in gene expression in response to the environment.