ArticleGenome biology2003
An integrated gene annotation and transcriptional profiling approach towards the full gene content of the Drosophila genome.
Article in Genome biology, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.
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60 citing papers in PubMed.
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- Identification for Exploring Underlying Pathogenesis and Therapy Strategy of Oral Squamous Cell Carcinoma by Bioinformatics Analysis.Medical science monitor : international medical journal of experimental and clinical research · 2019Article
- Landscape and evolution of tissue-specific alternative polyadenylation across Drosophila species.Genome biology · 2017Article
- Bioinformatic analysis of retinal gene function and expression in diabetic rats.Experimental and therapeutic medicine · 2017Article
- A genetic interaction map of cell cycle regulators.Molecular biology of the cell · 2016Article
- A Genome-wide RNAi Screen for Microtubule Bundle Formation and Lysosome Motility Regulation in Drosophila S2 Cells.Cell reports · 2016Article
- A systems-level interrogation identifies regulators of Drosophila blood cell number and survival.PLoS genetics · 2015Article
- Interaction between bisphenol A and dietary sugar affects global gene transcription in Drosophila melanogaster.Genomics data · 2014Article
- Comparative validation of the D. melanogaster modENCODE transcriptome annotation.Genome research · 2014Article
- Genome-wide gene expression effects of sex chromosome imprinting in Drosophila.G3 (Bethesda, Md.) · 2014Article
- Tissue, cell type and stage-specific ectopic gene expression and RNAi induction in the Drosophila testis.Spermatogenesis · 2012Article
- Polycomb group proteins bind an engrailed PRE in both the "ON" and "OFF" transcriptional states of engrailed.PloS one · 2012Article
- Hundreds of putatively functional small open reading frames in Drosophila.Genome biology · 2011Article
- Article
- Copy-number variation: the balance between gene dosage and expression in Drosophila melanogaster.Genome biology and evolution · 2011Article
- High-resolution transcription atlas of the mitotic cell cycle in budding yeast.Genome biology · 2010Article
- Evidence of a tick RNAi pathway by comparative genomics and reverse genetics screen of targets with known loss-of-function phenotypes in Drosophila.BMC molecular biology · 2009Article
- Gene networks in Drosophila melanogaster: integrating experimental data to predict gene function.Genome biology · 2009Article
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWhile the genome sequences for a variety of organisms are now available, the precise number of the genes encoded is still a matter of debate. For the human genome several stringent annotation approaches have resulted in the same number of potential genes, but a careful comparison revealed only limited overlap. This indicates that only the combination of different computational prediction methods and experimental evaluation of such in silico data will provide more complete genome annotations. In order to get a more complete gene content of the Drosophila melanogaster genome, we based our new D. melanogaster whole-transcriptome microarray, the Heidelberg FlyArray, on the combination of the Berkeley Drosophila Genome Project (BDGP) annotation and a novel ab initio gene prediction of lower stringency using the Fgenesh software.
resultsHere we provide evidence for the transcription of approximately 2,600 additional genes predicted by Fgenesh. Validation of the developmental profiling data by RT-PCR and in situ hybridization indicates a lower limit of 2,000 novel annotations, thus substantially raising the number of genes that make a fly.
conclusionsThe successful design and application of this novel Drosophila microarray on the basis of our integrated in silico/wet biology approach confirms our expectation that in silico approaches alone will always tend to be incomplete. The identification of at least 2,000 novel genes highlights the importance of gathering experimental evidence to discover all genes within a genome. Moreover, as such an approach is independent of homology criteria, it will allow the discovery of novel genes unrelated to known protein families or those that have not been strictly conserved between species.
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