ReviewBioinformatics (Oxford, England)2009
Cross species analysis of microarray expression data.
Review in Bioinformatics (Oxford, England), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 5 of them syntheses that pooled it.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
47 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Meta- and cross-species analyses of insulin resistance based on gene expression datasets in human white adipose tissues.Scientific reports · 2018Pooled it
- Concordance analysis of microarray studies identifies representative gene expression changes in Parkinson's disease: a comparison of 33 human and animal studies.BMC neurology · 2017Pooled it
- Identification of conserved drought-adaptive genes using a cross-species meta-analysis approach.BMC plant biology · 2015Pooled it
- Pooled it
- Conserved toxic responses across divergent phylogenetic lineages: a meta-analysis of the neurotoxic effects of RDX among multiple species using toxicogenomics.Ecotoxicology (London, England) · 2011Pooled it
- Review
- Identifying the Mechanisms and Molecular Targets of Yizhiqingxin Formula on Alzheimer's Disease: Coupling Network Pharmacology with GEO Database.Pharmacogenomics and personalized medicine · 2020Article
- The Modulatory Properties ofFrontiers in pharmacology · 2019Article
- Dissecting clinical outcome of porcine circovirus type 2 with in vivo derived transcriptomic signatures of host tissue responses.BMC genomics · 2018Article
- Cross-Species Meta-Analysis of Transcriptomic Data in Combination With Supervised Machine Learning Models Identifies the Common Gene Signature of Lactation Process.Frontiers in genetics · 2018Article
- Profiling DNA methylation differences between inbred mouse strains on the Illumina Human Infinium MethylationEPIC microarray.PloS one · 2018Article
- Inter-Species Host Gene Expression Differences in Response to Human and Avian Influenza A Virus Strains.International journal of molecular sciences · 2017Article
- Deep homology in the age of next-generation sequencing.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017Review
- Functional Genomic Analyses Identify Pathways Dysregulated in Animal Model of Autism.CNS neuroscience & therapeutics · 2016Article
- A comparison of human and mouse gene co-expression networks reveals conservation and divergence at the tissue, pathway and disease levels.BMC evolutionary biology · 2015Article
- What to compare and how: Comparative transcriptomics for Evo-Devo.Journal of experimental zoology. Part B, Molecular and developmental evolution · 2015Review
- Cross-species gene expression analysis identifies a novel set of genes implicated in human insulin sensitivity.NPJ systems biology and applications · 2015Article
- Diversity in global gene expression and morphology across a watercress (Nasturtium officinale R. Br.) germplasm collection: first steps to breeding.Horticulture research · 2015Article
- New gene targets of PGC-1α and ERRα co-regulation in C2C12 myotubes.Molecular biology reports · 2014Article
- ComPlEx: conservation and divergence of co-expression networks in A. thaliana, Populus and O. sativa.BMC genomics · 2014Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
motivationMany biological systems operate in a similar manner across a large number of species or conditions. Cross-species analysis of sequence and interaction data is often applied to determine the function of new genes. In contrast to these static measurements, microarrays measure the dynamic, condition-specific response of complex biological systems. The recent exponential growth in microarray expression datasets allows researchers to combine expression experiments from multiple species to identify genes that are not only conserved in sequence but also operated in a similar way in the different species studied.
resultsIn this review we discuss the computational and technical challenges associated with these studies, the approaches that have been developed to address these challenges and the advantages of cross-species analysis of microarray data. We show how successful application of these methods lead to insights that cannot be obtained when analyzing data from a single species. We also highlight current open problems and discuss possible ways to address them.
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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.