RNA-sequencing analysis of glucose and acetate regulated transcripts in glioblastoma cells
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Lee JV
PROVIDER: S-ECPF-GEOD-57488 | biostudies-other | 2014 Aug
REPOSITORIES: biostudies-other
Similar Datasets
Project description:Our studies indicate that glucose and acetate can regulate histone acetylation by altering the acetyl-CoA concentrations in the cell. The purpose of this study was to to determine whether specific gene sets correlated with acetyl-CoA availability. We conclude that 10% of glucose-regulated genes are acetyl-CoA regulated genes (genes suppressed or induced by low glucose and reversed by acetate). Acetate usually regulated gene expression in the same direction as glucose, suggesting that acetyl-CoA is a key mediator of glucose-dependent gene expression. The experiments were performed in quadruplicates for each condition with a total of 12 samples
2014-08-05 | E-GEOD-57488 | biostudies-arrayexpress
Project description:Our studies indicate that glucose and acetate can regulate histone acetylation by altering the acetyl-CoA concentrations in the cell. The purpose of this study was to to determine whether specific gene sets correlated with acetyl-CoA availability. We conclude that 10% of glucose-regulated genes are acetyl-CoA regulated genes (genes suppressed or induced by low glucose and reversed by acetate). Acetate usually regulated gene expression in the same direction as glucose, suggesting that acetyl-CoA is a key mediator of glucose-dependent gene expression.
2014-08-05 | GSE57488 | GEO
Project description:Recent studies in budding yeast have shown that antisense transcription occurs at many loci. However, the functional role of antisense transcripts has been demonstrated only in a few cases and it has been suggested that most antisense transcripts may result from promiscuous bi-directional transcription in a dense genome.Here, we use strand-specific RNA sequencing to study anti-sense transcription in Saccharomyces cerevisiae. We detect 1,103 putative antisense transcripts expressed in mid-log phase growth, ranging from 39 short transcripts covering only the 3' UTR of sense genes to 145 long transcripts covering the entire sense open reading frame. Many of these antisense transcripts overlap sense genes that are repressed in mid-log phase and are important in stationary phase, stress response, or meiosis. We validate the differential regulation of 67 antisense transcripts and their sense targets in relevant conditions, including nutrient limitation and environmental stresses. Moreover, we show that several antisense transcripts and, in some cases, their differential expression have been conserved across five species of yeast spanning 150 million years of evolution. Divergence in the regulation of antisense transcripts to two respiratory genes coincides with the evolution of respiro-fermentation.Our work provides support for a global and conserved role for antisense transcription in yeast gene regulation.
| S-EPMC2945789 | biostudies-literature
Project description:RNA sequencing has become an important method to perform hypothesis-free characterization of global gene expression. One of the limitations of RNA sequencing is that most sequence reads represent highly expressed transcripts, whereas low level transcripts are challenging to detect. To combine the benefits of traditional expression arrays with the advantages of RNA sequencing, we have used whole exome enrichment prior to sequencing of total RNA. We show that whole exome capture can be successfully applied to cDNA to study the transcriptional landscape in human tissues. By introducing the exome enrichment step, we are able to identify transcripts present at very low levels, which are below the level of detection in conventional RNA sequencing. Although the enrichment increases the ability to detect presence of transcripts, it also lowers the accuracy of quantification of expression levels. Our results yield a large number of novel exons and splice isoforms, suggesting that conventional RNA sequencing methods only detect a small fraction of the full transcript diversity. We propose that whole exome enrichment of RNA is a suitable strategy for genome-wide discovery of novel transcripts, alternative splice variants and fusion genes.
| S-EPMC3592422 | biostudies-literature
Project description:BackgroundThe starting material for RNA sequencing (RNA-seq) studies is usually total RNA or polyA+ RNA. Both forms of RNA represent heterogeneous pools of RNA molecules at different levels of maturation and processing. Such heterogeneity, in addition to the biases associated with polyA+ purification steps, may influence the analysis, sensitivity and the interpretation of RNA-seq data. We hypothesize that subcellular fractions of RNA may provide a more accurate picture of gene expression.ResultsWe present results for sequencing of cytoplasmic and nuclear RNA after cellular fractionation of tissue samples. In comparison with conventional polyA+ RNA, the cytoplasmic RNA contains a significantly higher fraction of exonic sequence, providing increased sensitivity in expression analysis and splice junction detection, and in improved de novo assembly of RNA-seq data. Conversely, the nuclear fraction shows an enrichment of unprocessed RNA compared with total RNA-seq, making it suitable for analysis of nascent transcripts and RNA processing dynamics.ConclusionOur results show that cellular fractionation is a more rapid and cost effective approach than conventional polyA+ enrichment when studying mature RNAs. Thus, RNA-seq of separated cytosolic and nuclear RNA can significantly improve the analysis of complex transcriptomes from mammalian tissues.
| S-EPMC3833653 | biostudies-literature
Project description:BackgroundThe sheep is an important model animal for testing novel fracture treatments and other medical applications. Despite these medical uses and the well known economic and cultural importance of the sheep, relatively little research has been performed into sheep genetics, and DNA sequences are available for only a small number of sheep genes.ResultsIn this work we have sequenced over 47 thousand expressed sequence tags (ESTs) from libraries developed from healing bone in a sheep model of fracture healing. These ESTs were clustered with the previously available 10 thousand sheep ESTs to a total of 19087 contigs with an average length of 603 nucleotides. We used the newly identified sequences to develop RT-PCR assays for 78 sheep genes and measured differential expression during the course of fracture healing between days 7 and 42 postfracture. All genes showed significant shifts at one or more time points. 23 of the genes were differentially expressed between postfracture days 7 and 10, which could reflect an important role for these genes for the initiation of osteogenesis.ConclusionThe sequences we have identified in this work are a valuable resource for future studies on musculoskeletal healing and regeneration using sheep and represent an important head-start for genomic sequencing projects for Ovis aries, with partial or complete sequences being made available for over 5,800 previously unsequenced sheep genes.
| S-EPMC1578570 | biostudies-literature
Project description:Herpesviruses employ extensive bidirectional transcription of overlapping genes to overcome length constraints on their gene product repertoire. As a consequence, many lytic transcripts cannot be measured individually by reverse transcription-quantitative PCR (RT-qPCR) or conventional RNA sequencing (RNA-seq) analysis. A. G. Bruce, S. Barcy, T. DiMaio, E. Gan, et al. (Pathogens 6:11, 2017, https://doi.org/10.3390/pathogens6010011) have proposed an approximation method using unique coding sequences (UCDS) to estimate lytic gene abundance from Kaposi's sarcoma-associated herpesvirus (KSHV) RNA-seq data. Although UCDS has been widely employed, its accuracy, to our knowledge, has never been rigorously validated for any herpesvirus. In this study, we use cap analysis of gene expression sequencing (CAGE-seq) as a gold-standard to determine the accuracy of UCDS for estimating Epstein-Barr virus (EBV) lytic gene expression levels from RNA-seq data. We also introduce the Unique TranScript (UTS) method, which, like UCDS, estimates transcript abundance from changes in mean RNA-seq read depth. UTS is distinguished by its use of empirically determined 5' and 3' transcript ends rather than coding sequence annotations. Compared to conventional read assignment, both UCDS and UTS improved the accuracy of quantitation of overlapping genes, with UTS giving the most-accurate results. The UTS method discards fewer reads and may be advantageous for experiments with less sequencing depth. UTS is compatible with any aligner and, unlike isoform-aware alignment methods, can be implemented on a laptop computer. Our findings demonstrate that the accuracy achieved by complex and expensive techniques such as CAGE-seq can be approximated using conventional short-read RNA-seq data when read assignment methods address transcript overlap. Although our study focuses on EBV transcription, the UTS method should be applicable across all herpesviruses as well as to other genomes with extensively overlapping transcriptomes. IMPORTANCE Many viruses employ extensively overlapping transcript structures. This complexity makes it difficult to quantify gene expression by using conventional methods, including RNA-seq. Although high-throughput techniques that overcome these limitations exist, they are complex, expensive, and scarce in the herpesvirus literature relative to short-read RNA-seq. Here, using Epstein-Barr virus (EBV) as a model, we demonstrate that conventional RNA-seq analysis methods fail to accurately quantify the abundances of many overlapping transcripts. We further show that the previously described Unique CoDing Sequence (UCDS) method and our Unique TranScript (UTS) method greatly improve the accuracy of EBV lytic gene measurements obtained from RNA-seq data. The UTS method has the advantages of discarding fewer reads and being implementable on a laptop computer. Although this study focuses on EBV, the UCDS and UTS methods should be applicable across herpesviruses and for other viruses that make extensive use of overlapping transcription.
| S-EPMC8791286 | biostudies-literature
Project description:Glioblastomas (GBMs) are the most frequent and malignant type of brain tumor. It has been reported that progesterone (P4) regulates the progression of GBMs by modifying the expression of genes that promote cell proliferation, migration and invasion; however, it is not fully understood how these processes are regulated. It is possible that P4 mediates some of these effects through changes in the microRNA (miRNA) expression profile in GBM cells. The present study investigated the effects of P4 on miRNAs expression profile in U‑251MG cells derived from a human GBM. U‑251MG cells were treated for 6 h with P4, RU486 (an antagonist of the intracellular progesterone receptor), the combined treatment (P4+RU486) and cyclodextrin (vehicle) and then a miRNA microarray analysis conducted. The expression analysis revealed a set of 190 miRNAs with differential expression in the treatments of P4, RU486 and P4+RU486 in respect to the vehicle and P4 in respect to P4+RU486, of which only 16 were exclusively regulated by P4. The possible mRNA targets of the miRNAs regulated by P4 could participate in the regulation of proliferation, cell cycle progression and cell migration of GBMs. The present study provided insight for understanding epigenetic modifications regulated by sex hormones involved in GBM progression, and for identifying potential therapeutic strategies for these brain tumors.
| S-EPMC8097752 | biostudies-literature
Project description:Larvae of Melanotus cribricollis, feed on bamboo shoots and roots, causing serious damage to bamboo in Southern China. However, there is currently no effective control measure to limit the population of this underground pest. Previously, a new entomopathogenic fungal strain isolated from M. cribricollis larvae cadavers named Metarhizium pingshaense WP08 showed high pathogenic efficacy indoors, indicated that the fungus could be used as a bio-control measure. So far, the genetic backgrounds of both M. cribricollis and M. pingshaense WP08 were blank. Here, we analyzed the whole transcriptome of M. cribricollis larvae, infected with M. pingshaense WP08 or not, using high-throughput next generation sequencing technology. In addition, the transcriptome sequencing of M. pingshaense WP08 was also performed for data separation of those two non-model species. The reliability of the RNA-Seq data was also validated through qRT-PCR experiment. The de novo assembly, functional annotation, sequence comparison of four insect species, and analysis of DEGs, enriched pathways, GO terms and immune related candidate genes were operated. The results indicated that, multiple defense mechanisms of M. cribricollis larvae are initiated to protect against the more serious negative effects caused by fungal infection. To our knowledge, this was the first report of transcriptome analysis of Melanotus spp. infected with a fungus, and it could provide insights to further explore insect-fungi interaction mechanisms.
| S-EPMC5770045 | biostudies-literature
Project description:Adipose-derived stromal cells represent a relatively abundant source of multipotent cells, with many potential applications in regenerative medicine. The present study sought to demonstrate the use of RNA sequencing in identifying differentially expressed transcripts, particularly long noncoding RNAs, associated with adipogenic differentiation to gain a clearer picture of the mechanisms responsible for directing adipose-derived stromal cell fate toward the adipogenic lineage.Human adipose-derived stromal cells were cultured in adipogenic differentiation media, and RNA was harvested at days 0, 1, 3, 5, and 7. Directional RNA sequencing libraries were prepared and sequenced. Paired-end reads were mapped to the human genome reference sequence hg19. Transcriptome assembly was performed and significantly differentially expressed transcripts were identified. Gene ontology term analysis was then performed to identify coding and noncoding transcripts of interest. Differential expression was verified by quantitative real-time polymerase chain reaction.Of 2868 significantly differentially expressed transcripts identified, 207 were noncoding. Enriched gene ontology terms among up-regulated coding transcripts notably reflected differentiation toward the adipogenic lineage. Enriched gene ontology terms among down-regulated coding transcripts reflected growth arrest. Guilt-by-association analysis revealed noncoding RNA candidates with potential roles in the process of adipogenic differentiation.The precise mechanisms that guide lineage-specific differentiation in multipotent cells are not yet fully understood. Defining long noncoding RNAs associated with adipogenic differentiation allows for potential manipulation of regulatory pathways in novel ways. The authors present RNA sequencing as a powerful tool for expanding the understanding of adipose-derived stromal cells and developing novel applications within regenerative medicine.
| S-EPMC4581908 | biostudies-literature