ArticleGenome research2020
Comparative transcriptomics of primary cells in vertebrates.
Article in Genome research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 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
25 citing papers in PubMed.
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- Transposable element-gene chimera cartography, origination and role in enhancing transcriptome plasticity.Nature structural & molecular biology · 2026Article
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- Integrated Analysis of microRNA Targets Reveals New Insights into Transcriptional-Post-Transcriptional Regulatory Cross-Talk.Biology · 2025Article
- Decoding thymic development: a single-cell atlas of tree shrew immunity.Frontiers in immunology · 2025Article
- Molecular Specializations Underlying Phenotypic Differences in Inner Ear Hair Cells of Zebrafish and Mice.bioRxiv : the preprint server for biology · 2024Article
- Long Non-Coding RNAs in Sjögren's Disease.International journal of molecular sciences · 2024Review
- Therapeutic Potential for Metabotropic Glutamate Receptor 7 Modulators in Cognitive Disorders.Molecular pharmacology · 2024Review
- Article
- Molecular specializations underlying phenotypic differences in inner ear hair cells of zebrafish and mice.Frontiers in neurology · 2024Article
- Transcriptomic signatures of WNT-driven pathways and granulosa cell-oocyte interactions during primordial follicle activation.PloS one · 2024Article
- Dosage compensation of Z sex chromosome genes in avian fibroblast cells.Genome biology · 2023Article
- ZENBU-Reports: a graphical web-portal builder for interactive visualization and dissemination of genome-scale data.NAR genomics and bioinformatics · 2023Article
- Deep learning models will shape the future of stem cell research.Stem cell reports · 2023Review
- A Phylogenetic Framework to Simulate Synthetic Interspecies RNA-Seq Data.Molecular biology and evolution · 2023Article
- Comparative immune-relevant transcriptome reveals the evolutionary basis of complex traits.iScience · 2022Article
- Repression and 3D-restructuring resolves regulatory conflicts in evolutionarily rearranged genomes.Cell · 2022Article
- Inferring mammalian tissue-specific regulatory conservation by predicting tissue-specific differences in open chromatin.BMC genomics · 2022Article
- The contribution of evolutionarily volatile promoters to molecular phenotypes and human trait variation.Genome biology · 2022Article
- Exploring the Potential Toxicological Mechanisms of Vine Tea on the Liver Based on Network Toxicology and Transcriptomics.Frontiers in pharmacology · 2022Article
Corrections and comments
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Authors and funding
25 authors.
Funding
Abstract
Gene expression profiles in homologous tissues have been observed to be different between species, which may be due to differences between species in the gene expression program in each cell type, but may also reflect differences in cell type composition of each tissue in different species. Here, we compare expression profiles in matching primary cells in human, mouse, rat, dog, and chicken using Cap Analysis Gene Expression (CAGE) and short RNA (sRNA) sequencing data from FANTOM5. While we find that expression profiles of orthologous genes in different species are highly correlated across cell types, in each cell type many genes were differentially expressed between species. Expression of genes with products involved in transcription, RNA processing, and transcriptional regulation was more likely to be conserved, while expression of genes encoding proteins involved in intercellular communication was more likely to have diverged during evolution. Conservation of expression correlated positively with the evolutionary age of genes, suggesting that divergence in expression levels of genes critical for cell function was restricted during evolution. Motif activity analysis showed that both promoters and enhancers are activated by the same transcription factors in different species. An analysis of expression levels of mature miRNAs and of primary miRNAs identified by CAGE revealed that evolutionary old miRNAs are more likely to have conserved expression patterns than young miRNAs. We conclude that key aspects of the regulatory network are conserved, while differential expression of genes involved in cell-to-cell communication may contribute greatly to phenotypic differences between species.
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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.