ArticlePloS one2015
Deciphering the Developmental Dynamics of the Mouse Liver Transcriptome.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 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.
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Who cites it
26 citing papers in PubMed, 39 citations in OpenAlex.
- Mice Undergo Organ-Specific Transcriptional and Metabolic Remodeling During Late Adolescence.Research square · 2026Article
- Melanocortin 3 receptor regulates hepatic autophagy and systemic adiposity.Nature communications · 2025Article
- mNature metabolism · 2023Article
- TFEB regulates sulfur amino acid and coenzyme A metabolism to support hepatic metabolic adaptation and redox homeostasis.Nature communications · 2022Article
- A database of pediatric drug effects to evaluate ontogenic mechanisms from child growth and development.Med (New York, N.Y.) · 2022Article
- Impact of Neonatal Activation of Nuclear Receptor CAR (Nr1i3) on Cyp2 Gene Expression in Adult Mouse Liver.Toxicological sciences : an official journal of the Society of Toxicology · 2022Article
- Temporal analyses of postnatal liver development and maturation by single-cell transcriptomics.Developmental cell · 2022Article
- No population left behind: Improving paediatric drug safety using informatics and systems biology.British journal of clinical pharmacology · 2022Review
- Evaluating risk detection methods to uncover ontogenic-mediated adverse drug effect mechanisms in children.BioData mining · 2021Article
- Article
- Alternative RNA Splicing in Fatty Liver Disease.Frontiers in endocrinology · 2021Review
- Hepatocyte nuclear factor 4α and cancer-related cell signaling pathways: a promising insight into cancer treatment.Experimental & molecular medicine · 2021Review
- Gene expression profiles during postnatal development of the liver and pancreas in giant pandas.Aging · 2020Article
- Giant Island Mice Exhibit Widespread Gene Expression Changes in Key Metabolic Organs.Genome biology and evolution · 2020Article
- An FGF15/19-TFEB regulatory loop controls hepatic cholesterol and bile acid homeostasis.Nature communications · 2020Article
- A time-resolved multi-omic atlas of the developing mouse liver.Genome research · 2020Article
- RNA-Seq provides new insights on the relative mRNA abundance of antioxidant components during mouse liver development.Free radical biology & medicine · 2019Article
- Ontogenic mRNA expression of RNA modification writers, erasers, and readers in mouse liver.PloS one · 2019Article
- Hepatic Gene Expression During the Perinatal Transition in the Rat.Gene expression · 2018Article
- Consequences of Phenytoin Exposure on Hepatic Cytochrome P450 Expression during Postnatal Liver Maturation in Mice.Drug metabolism and disposition: the biological fate of chemicals · 2018Article
Corrections and comments
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Authors and funding
7 authors at 5 institutions in 1 country.
Funding
Abstract
During development, liver undergoes a rapid transition from a hematopoietic organ to a major organ for drug metabolism and nutrient homeostasis. However, little is known on a transcriptome level of the genes and RNA-splicing variants that are differentially regulated with age, and which up-stream regulators orchestrate age-specific biological functions in liver. We used RNA-Seq to interrogate the developmental dynamics of the liver transcriptome in mice at 12 ages from late embryonic stage (2-days before birth) to maturity (60-days after birth). Among 21,889 unique NCBI RefSeq-annotated genes, 9,641 were significantly expressed in at least one age, 7,289 were differently regulated with age, and 859 had multiple (> = 2) RNA splicing-variants. Factor analysis showed that the dynamics of hepatic genes fall into six distinct groups based on their temporal expression. The average expression of cytokines, ion channels, kinases, phosphatases, transcription regulators and translation regulators decreased with age, whereas the average expression of peptidases, enzymes and transmembrane receptors increased with age. The average expression of growth factors peak between Day-3 and Day-10, and decrease thereafter. We identified critical biological functions, upstream regulators, and putative transcription modules that seem to govern age-specific gene expression. We also observed differential ontogenic expression of known splicing variants of certain genes, and 1,455 novel splicing isoform candidates. In conclusion, the hepatic ontogeny of the transcriptome ontogeny has unveiled critical networks and up-stream regulators that orchestrate age-specific biological functions in liver, and suggest that age contributes to the complexity of the alternative splicing landscape of the hepatic transcriptome.
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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.