Ontology highlight
ABSTRACT:
PROVIDER: PRJNA685785 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| Other | ||||
| SRR13283329_1.fastq.gz | Fastqsanger.gz | |||
| SRR13283329_2.fastq.gz | Fastqsanger.gz | |||
| SRR13283330_1.fastq.gz | Fastqsanger.gz | |||
| SRR13283331_1.fastq.gz | Fastqsanger.gz |
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Project description:While a first draft of the equine genome is available and predictions are made regarding resulting genes and proteins, little is known about the actual transcriptome. So far, published expressed sequence tags (ESTs) from different horse tissues were generally rather short (≤600bp) and hardly annotated, reflecting the problem that good cDNA libraries are very difficult to analyse. In this approach, we aimed to establish and analyse a normalised immune cell cDNA library (using freshly isolated and activated lymphocytes, NK cells, monocytes and DC). In particular, we wanted to test next generation sequencing combined with a series of bioinformatic approaches. The resulting cDNA library contained 2x107 clones of which 1056 were used for an initial Sanger sequencing and 4x106 for the deep sequencing analysis. Through the latter we obtained >29k sequences for which more than 5000 matches where found on the equine reference sequences. Additionally we could identify more than 3500 sequences which had matches on both - non-equine RNA sequences as well as the equine genome. In these we find both extensions of existing RefSeq models and novel mRNAs alike. Less than 2% of sequences did not have any match in the mentioned databases.
2012-06-30 | GSE26794 | GEO
Project description:While a first draft of the equine genome is available and predictions are made regarding resulting genes and proteins, little is known about the actual transcriptome. So far, published expressed sequence tags (ESTs) from different horse tissues were generally rather short (?600bp) and hardly annotated, reflecting the problem that good cDNA libraries are very difficult to analyse. In this approach, we aimed to establish and analyse a normalised immune cell cDNA library (using freshly isolated and activated lymphocytes, NK cells, monocytes and DC). In particular, we wanted to test next generation sequencing combined with a series of bioinformatic approaches. The resulting cDNA library contained 2x107 clones of which 1056 were used for an initial Sanger sequencing and 4x106 for the deep sequencing analysis. Through the latter we obtained >29k sequences for which more than 5000 matches where found on the equine reference sequences. Additionally we could identify more than 3500 sequences which had matches on both - non-equine RNA sequences as well as the equine genome. In these we find both extensions of existing RefSeq models and novel mRNAs alike. Less than 2% of sequences did not have any match in the mentioned databases. 1 pooled set of samples from one animal analysed
2012-06-29 | E-GEOD-26794 | biostudies-arrayexpress
Project description:Aneuploidy is a hallmark of tumor cells, and yet the precise relationship between aneuploidy and a cell’s proliferative ability, or cellular fitness, has remained elusive. In this study, we have combined a detailed analysis of aneuploid clones isolated from laboratory-evolved populations of Saccharomyces cerevisiae with a systematic, genome-wide screen for the fitness effects of telomeric amplifications to address the relationship between aneuploidy and cellular fitness. We found that aneuploid clones rise to high population frequencies in nutrient-limited evolution experiments and show increased fitness relative to wild type. Direct competition experiments confirmed that three out of four aneuploid events isolated from evolved populations were themselves sufficient to improve fitness. To expand the scope beyond this small number of exemplars, we created a genome-wide collection of >1,800 diploid yeast strains, each containing a different telomeric amplicon (Tamp), ranging in size from 0.4 to 1,000 kb. Using pooled competition experiments in nutrient-limited chemostats followed by high-throughput sequencing of strain-identifying barcodes, we determined the fitness effects of these >1,800 Tamps under three different conditions. Our data revealed that the fitness landscape explored by telomeric amplifications is much broader than that explored by single-gene amplifications. As also observed in the evolved clones, we found the fitness effects of most Tamps to be condition specific, with a minority showing common effects in all three conditions. By integrating our data with previous work that examined the fitness effects of single-gene amplifications genome-wide, we found that a small number of genes within each Tamp are centrally responsible for each Tamp’s fitness effects. Our genome-wide Tamp screen confirmed that telomeric amplifications identified in laboratory-evolved populations generally increased fitness. Our results show that Tamps are mutations that produce large, typically condition-dependent changes in fitness that are important drivers of increased fitness in asexually evolving populations.
2015-04-12 | GSE67769 | GEO
Project description:We investigated the influence of genome position on propensity to amplify. First, we integrated a mutant form of DHFR into different positions in the human genome, challenged cells with methotrexate and then studied the genomic alterations arising in drug resistant cells. We observed site specific differences in methotrexate sensitivity, organization of amplicons and amplification frequency. One site was uniquely associated with a significantly enhanced propensity to amplify and recurrent amplicon boundaries, possibly implicating a rare folate sensitive fragile site in initiating amplification. Hierarchical clustering of gene expression patterns and subsequent gene enrichment analysis revealed two clusters differing significantly in expression of MYC target genes independent of integration site. We introduced a mutant form of DHFR (L22F), which confers greater resistance to methotrexate than the wild type (endogenous) gene into HCT116+chr3 cells and isolated independent clones containing DHFR* at different positions in the genome and identified genome sequences flanking the integration site of DHFR* using inverse PCR. For further analysis, we selected only clones, which were considered to have a single insertion of DHFR* by inverse PCR (13 independent insertion sites). The individual insertion site clones were further characterized with respect to genome copy number profiles. To select methotrexate resistant colonies, we exposed cells to a concentration of methotrexate that was three to four times the IC-50 for each integration site. Genomic copy number profiles were obtained for isolated resistant colonies (GSE6262) by using UCSF HumArray platform (GPL4421). Twelve methotrexate resistant colonies (four different integration sites) were selected for microarray analysis of gene expression at the mRNA level. The untreated integration site clone was used as the reference (Cy5 labeled cDNA) for each of the hybridizations with its respective resistant colonies (Cy3 labeled cDNA). Hybridizations were carried out on arrays of printed long oligonucleotides (70mers) containing 21,000 elements (Operon V2.0, printed in J. David Gladstone Institutes, Genomics Core Laboratory).
2007-10-08 | E-GEOD-6361 | biostudies-arrayexpress
Project description:<p>The SardiNIA Medical Sequencing Discovery Project studies the genetics of blood lipid levels and personality in a Sardinian population cohort. The project has generated draft genome sequences for approximately 2,000 individuals using whole genome shotgun sequencing. The draft sequences will allow investigators to evaluate the contribution of common and rare single nucleotide polymorphisms, short insertions and deletions, large copy number polymorphisms and other structural variants to blood levels of low density lipoprotein cholesterol (LDL-c), high density lipoprotein cholesterol (HDL-c) and triglycerides (TG), all of which are key risk factors for cardiovascular disease, and to the 5 domains of personality as assessed by the NEO-PI-R questionnaire. The two traits represent different ends of the spectrum of medically interesting complex traits. Blood lipid levels are a risk factor for cardiovascular disease for which genetic studies have been very successful. In contrast, personality traits and other behavioral phenotypes represent a set of phenotypes that have proven more challenging to dissect using standard genetic tools. In both cases, we expect whole genome sequencing to improve our understanding of the underlying biology.</p> <p>The isolated Sardinian population is ideal for this type of study for several reasons, in particular because: (i) the bottleneck that occurred after colonization of the island attenuated natural selection against alleles with phenotypic consequences, increasing the odds that functional alleles will reach modest frequencies (0.5 - 5.0%) and will be detected in the present study and (ii) sharing of long haplotype stretches surrounding rare variants will facilitate imputation based analyses of shotgun sequence data, which improve the accuracy of individual genotype calls and thus increase power. </p> <p>This research helps advance NIH's mission by furthering our understanding of the genetic factors contributing to blood lipid levels and coronary heart disease and to personality, behavior and mental health. In addition, these data should facilitate development of analysis tools and strategies that can be used to study the genomes of hundreds to thousands of individuals and further our understanding of the genetics and biology of many different traits and conditions.</p>
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