Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Analysis of transcription in the Drosophila melanogaster testis

ABSTRACT: Identification and annotation of all the genes in the sequenced Drosophila genome is a work in progress. Wild-type testis function requires many genes and is thus of potentially high value for the identification of transcription units. We therefore undertook a survey of the repertoire of genes expressed in the Drosophila testis by computational and microarray analysis. We generated 3141 high-quality testis expressed sequence tags (ESTs). Testis ESTs computationally collapsed into 1560 cDNA set used for further analysis. Of those, 11% correspond to named genes, and 33% provide biological evidence for a predicted gene. A surprising 47% fail to align with existing ESTs and 16% with predicted genes in the current genome release. EST frequency and microarray expression profiles indicate that the testis mRNA population is highly complex and shows an extended range of transcript abundance. Furthermore, >80% of the genes expressed in the testis showed onefold overexpression relative to ovaries, or gonadectomized flies. Additionally, >3% showed more than threefold overexpression at p <0.05. Surprisingly, 22% of the genes most highly overexpressed in testis match Drosophila genomic sequence, but not predicted genes. These data strongly support the idea that sequencing additional cDNA libraries from defined tissues, such as testis, will be important tools for refined annotation of the Drosophila genome. Additionally, these data suggest that the number of genes in Drosophila will significantly exceed the conservative estimate of 13,601.

ORGANISM(S): Drosophila melanogaster

SUBMITTER: Kevin Becker

PROVIDER: E-GEOD-462 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Gene discovery using computational and microarray analysis of transcription in the Drosophila melanogaster testis.

Andrews J J Bouffard G G GG Cheadle C C Lü J J Becker K G KG Oliver B B

Genome research 20001201 12

Identification and annotation of all the genes in the sequenced Drosophila genome is a work in progress. Wild-type testis function requires many genes and is thus of potentially high value for the identification of transcription units. We therefore undertook a survey of the repertoire of genes expressed in the Drosophila testis by computational and microarray analysis. We generated 3141 high-quality testis expressed sequence tags (ESTs). Testis ESTs computationally collapsed into 1560 cDNA set u ...[more]

PMID: 11116097

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Project description:Background: Lactococcus garvieae is a bacterial pathogen that affects different animal species and human. Despite the widespread distribution and emerging clinical significance of L. garvieae in both veterinary and human medicine, there is almost a complete lack of knowledge about the genetic content of this microorganism. In the present study the genomic content of L. garvieae CECT 4531 was analyzed by bioinformatic tools and microarray-based comparative genomic hybridizations (CGH) experiments, using Lactococcus lactis subsp. lactis IL1403 and Streptococcus pneumoniae TIGR4 as reference microorganisms. Results: The combination and integration of in silico analyses and in vitro (CGH) experiments performed between the reference microorganisms allowed establishing an inter-species hybridization framework with a detection threshold based on the sequence similarity ?70%. With this threshold value, 267 genes were identified as having an analogue in L. garvieae, most of which (n = 258) have been documented for the first time in this pathogen. Most of these genes are related to ribosomal, sugar metabolism or energy conversion systems. Some identified genes could be involved in the pathogenesis of L. garvieae infections. Conclusions: In this study a comparative analysis based on microarray interspecies hybridization and the use of bioinformatic tools were used for the first time to study the genetic content of L. garvieae CECT 4531. Towards this approach, we identified 267 potentially present genes in L. garvieae CECT 4531, some of which could be involved in the pathogenesis of L. garvieae infections, such as als or mycA. These results provide the first insight into the genome content of L. garvieae. Array-based comparative genome hybridization (CGH): The L. lactis subsp. lactis IL1403 and S. pneumoniae TIGR4 microarrays used for the CGH analysis were purchased from Eurogentec (Serain, Belgium). The L. lactis microarray contains 4608 spots: 2126 duplicated ORFs, 32 negative controls and 324 empty spots. The S. pneumoniae microarray contains 4608 spots: 2087 duplicated ORFs, 224 negative controls and 210 empty spots. The CGH experiments were performed by means of competitive hybridizations using DNA of L. lactis subsp. lactis IL1403 or S. pneumoniae TIGR4, depending on the array as positive controls. DNAs to be hybridized on the same array were labelled with Cy3-dUTP and Cy5-dUTP, respectively. For each microarray hybridization reaction, aliquots (1–2 µg) of labelled genomic DNAs of reference (labelled with Cy3) and test (labelled with Cy5) strains, were mixed in 45 µl EGT hybridization solution (Eurogentec, Serain, Belgium) and denatured at 65ºC for 2 min. The hybridization mixture was then loaded onto a microarray slide, covered with a coverslip and incubated at 38ºC overnight. Following hybridization, the slides were washed in 2 X SSC, 0.5% SDS for 5 min followed by 5 min in 1 X SSC, 0.25% SDS. Finally, slides were rinsed in 0.2 X SSC and dried by centrifugation. The results presented herein represent a compilation of sixteen separate CGH experiments: L. lactis subsp. lactis IL1403 arrays (reference microorganism) were hybridized with S. pneumoniae TIGR4 (test microorganism) (n=2); S. pneumoniae TIGR4 arrays (reference microorganism) were hybridized with L. lactis subsp. lactis IL1403 (test microorganism) (n=2); L. lactis subsp. lactis IL1403 arrays (reference microorganism) were hybridized with L.garvieae CECT 4531 (test microorganism) (n=8); S. pneumoniae TIGR4 arrays (reference microorganism) were hybridized with L.garvieae CECT 4531 (test microorganism) (n=4). Data acquisition and analysis: The microarray was scanned after hybridization using a Scanarray HT microarray scanner (Perkin-Elmer). The signal intensity of the two fluors was determined using ImaGene software (BioDiscovery, El Segundo, CA, USA). Microarray data were analysed using ImaGene software, Microsoft Excel and an in-house designed and built Microsoft Access database [30]. Gene calling was based on a signal-to-noise ratio (SNR) > 3 for each spot. After CGH experiments, a gene was considered to show a positive result when it was present in at least three of the four CGH assays. In the case of the L. garvieae CECT 4531 hybridizations with L. lactis subsp. lactis IL1403 arrays, it was necessary to perform a greater number of assays (n=8) due to the poor quality of one of the array batches used. Thus, the criteria chosen to determine a positive result in this case was when the gene was present in at least five of the eight CGH assays.

Project description:Confluent human umbilical vein endothelial cells (HUVECs) were exposed to histamine (100 mM) for 2 hours. Ribosomal profiling via gradient centrifugation and fractionation was used to separate monosome, or under-translated, and polysome, or actively translated, mRNA species that were then used to probe cDNA arrays, a process known as Translation State Array Analysis (TSAA). Four samples were obtained from these experiments, control monosome, control polysome, histamine monosome and histamine polysome. Using the normalized signal intensities from the GeneFilters, we calculated a translation index, or measure of movement of an mRNA molecule from the monosome to the polysome fraction upon stimulation. This calculation was made as follows: (histamine polysome/histamine monosome)/(control polysome/control monosome). Translational indices greater than 2.5 (upregulated) or lower than 0.4 (downregulated) were chosen for further study. HUVECs were stimulated with histamine (100 mM) for 2 hours. Cycloheximide (CHX) was added to a final concentration of 100 ng/mL for 5 minutes and cells were then rinsed with cold HBSS containing CHX (100 ng/mL) and scraped from the dish and pelleted by centrifugation (2000 x g, 5 minutes). The supernatant was removed and cells were carefully resuspended in 375 ïL Low Salt Buffer (LSB; 20 mM Tris, 10 mM NaCl, 3 mM MgCl2, pH 7.4) + RNasin (40 U/mL) + DTT (10 nM) for 3 minutes on ice. 125 ïL LSB Lysis buffer (LSB containing 200 mM sucrose and 1.2% Triton-X100) was then added and cells disrupted by pipetting. The mixture was then transferred to 1.7 mL microfuge tubes and centrifuged (20,000 x g, 1 minute, 4ï° C) to remove nuclei and cellular debris. The supernatant was transferred to a new tube containing 50 ïL LSB + RNasin (40 U/mL) + DTT (10 nM) and 15 ïL 5M NaCl. This mixture was then layered onto prepoured gradients (15-50% sucrose in LSB). Gradients were spun at 43,700 rpm for 90 minutes (4ï° C) and then run on a density gradient flow cell fractionator (Isco) to obtain ribosomal profiles. Ribosomal fractions corresponding to monosomes (M) and polysomes (P) (Figure 1) were collected into Trizol LS (Invitrogen) and total RNA isolated according to the directions of the manufacturer. Total RNA was reverse transcribed using oligo dT primers in the presence of 33P dCTP to generate labeled cDNA probes from the M and P associated mRNA fractions of control and stimulated cells and these probes used to detect specific array elements on four identical Research Genetics (ResGen) Named Human Gene cDNA GeneFilters (GF 211, Invitrogen). These filters were washed using high stringency conditions and exposed to phosphorimaging screens for analysis using Pathways 3, proprietary software included with the ResGen filters. Hybridization signals were normalized to the average intensity of the hybridization signals from the particular array filter to correct for differing global hybridization efficiencies between filters. To determine if a particular hybridization signal was significantly above background levels, an initial screen of the array elements was conducted by dividing the hybridization signal of an individual cDNA spot by the background signal on particular filter. Background signal levels were determined using the Pathways 3 analysis software that measures the signal intensity of the area between cDNA spots and averages that signal over the area of the entire array. Array elements were considered to be distinguishable from background if the hybridization signal/background ratio was greater than 1.1. Signal intensities from each filter were normalized by dividing the raw signal intensity of the cDNA spot by the average signal intensity for the entire filter. The translation state (TS) of each qualifying array element was determined by dividing the normalized signal intensity of the element in the polysome fraction by the normalized signal intensity of the element in the monosome fraction: TS=P/M. The Translation Index (TLI), a measure of the change of translation states of individual genes, was determined by calculating the ratio of the treated cell TS to the control cell TS; TLI = TSe/TSc where e represents experimental or treated conditions and c represents controls. In this scenario, a gene that is not regulated by translation would have a TLI value of 1, actively translated genes would have a TLI value greater than 1, whereas a poorly translated or under-translated gene would have a TLI value less than 1. Arbitrary TLI values of 2.5 and 0.4 were used to categorize individual array elements as being translationally regulated.

Dataset Information

Analysis of transcription in the Drosophila melanogaster testis

Publications

Gene discovery using computational and microarray analysis of transcription in the Drosophila melanogaster testis.

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