ArticleGenetics research2011
Functional genome annotation of Drosophila seminal fluid proteins using transcriptional genetic networks.
Article in Genetics research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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.
The trial behind it
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Who cites it
11 citing papers in PubMed, 28 citations in OpenAlex.
- Seminal fluid gene expression and reproductive fitness in Drosophila melanogaster.BMC ecology and evolution · 2022Article
- Seminal fluid and accessory male investment in sperm competition.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020Review
- ThePhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020Review
- Genetic and environmental variation in transcriptional expression of seminal fluid proteins.Heredity · 2019Article
- Mutational Pleiotropy and the Strength of Stabilizing Selection Within and Between Functional Modules of Gene Expression.Genetics · 2018Article
- Dissecting genetic architecture of startle response in Drosophila melanogaster using multi-omics information.Scientific reports · 2017Article
- Genetic basis of transcriptome diversity in Drosophila melanogaster.Proceedings of the National Academy of Sciences of the United States of America · 2015Article
- Sexual conflict and seminal fluid proteins: a dynamic landscape of sexual interactions.Cold Spring Harbor perspectives in biology · 2014Review
- MicroRNAs influence reproductive responses by females to male sex peptide in Drosophila melanogaster.Genetics · 2014Article
- Identification and function of proteolysis regulators in seminal fluid.Molecular reproduction and development · 2013Review
- Large neurological component to genetic differences underlying biased sperm use in Drosophila.Genetics · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Predicting functional gene annotations remains a significant challenge, even in well-annotated genomes such as yeast and Drosophila. One promising, high-throughput method for gene annotation is to use correlated gene expression patterns to annotate target genes based on the known function of focal genes. The Drosophila melanogaster transcriptome varies genetically among wild-derived inbred lines, with strong genetic correlations among the transcripts. Here, we leveraged the genetic correlations in gene expression among known seminal fluid protein (SFP) genes and the rest of the genetically varying transcriptome to identify 176 novel candidate SFPs (cSFPs). We independently validated the correlation in gene expression between seven of the cSFPs and a known SFP gene, as well as expression in male reproductive tissues. We argue that this method can be extended to other systems for which information on genetic variation in gene expression is available.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.