ArticleBMC genomics2009
An integrated approach for the systematic identification and characterization of heart-enriched genes with unknown functions.
Article in BMC genomics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed.
- Cardiac Development Long Non-Coding RNA (Cells · 2024Article
- ANGIOGENES: knowledge database for protein-coding and noncoding RNA genes in endothelial cells.Scientific reports · 2016Article
- Platelet TLR4: a critical link in pulmonary arterial hypertension.Circulation research · 2014Article
- Molecular mechanisms of pulmonary arterial remodeling.Molecular medicine (Cambridge, Mass.) · 2014Review
- Noncoder: a web interface for exon array-based detection of long non-coding RNAs.Nucleic acids research · 2013Article
- Deeply dissecting stemness: making sense to non-coding RNAs in stem cells.Stem cell reviews and reports · 2012Review
- Mechanisms of disease: pulmonary arterial hypertension.Nature reviews. Cardiology · 2011Review
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHigh throughput techniques have generated a huge set of biological data, which are deposited in various databases. Efficient exploitation of these databases is often hampered by a lack of appropriate tools, which allow easy and reliable identification of genes that miss functional characterization but are correlated with specific biological conditions (e.g. organotypic expression).
resultsWe have developed a simple algorithm (DGSA = Database-dependent Gene Selection and Analysis) to identify genes with unknown functions involved in organ development concentrating on the heart. Using our approach, we identified a large number of yet uncharacterized genes, which are expressed during heart development. An initial functional characterization of genes by loss-of-function analysis employing morpholino injections into zebrafish embryos disclosed severe developmental defects indicating a decisive function of selected genes for developmental processes.
conclusionWe conclude that DGSA is a versatile tool for database mining allowing efficient selection of uncharacterized genes for functional analysis.
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