ArticleAmerican journal of respiratory cell and molecular biology2009
Expression profiles of the mouse lung identify a molecular signature of time-to-birth.
Article in American journal of respiratory cell and molecular biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
31 citing papers in PubMed, 44 citations in OpenAlex.
- Spatial transcriptomics of developing human lungs defines cellular phenotypes associated with age, lineage and location.Scientific reports · 2026Article
- Single-Cell Transcriptomic Profiling Identifies Molecular Phenotypes of Newborn Human Lung Cells.Genes · 2024Article
- Proteomic Analysis of Human Lung Development.American journal of respiratory and critical care medicine · 2022Article
- Sphingosine kinase 1 regulates lysyl oxidase through STAT3 in hyperoxia-mediated neonatal lung injury.Thorax · 2022Article
- Lymphocyte-Specific Biomarkers Associated With Preterm Birth and Bronchopulmonary Dysplasia.Frontiers in immunology · 2020Article
- Discordant roles for FGF ligands in lung branching morphogenesis between human and mouse.The Journal of pathology · 2019Article
- Article
- Excessive Reversal of Epidermal Growth Factor Receptor and Ephrin Signaling Following Tracheal Occlusion in Rabbit Model of Congenital Diaphragmatic Hernia.Molecular medicine (Cambridge, Mass.) · 2016Article
- Age, Sexual Dimorphism, and Disease Associations in the Developing Human Fetal Lung Transcriptome.American journal of respiratory cell and molecular biology · 2016Article
- The Oxygen Environment at Birth Specifies the Population of Alveolar Epithelial Stem Cells in the Adult Lung.Stem cells (Dayton, Ohio) · 2016Article
- Regulation of alveolar septation by microRNA-489.American journal of physiology. Lung cellular and molecular physiology · 2016Article
- Article
- Article
- Update on Molecular Biology of Lung Development--Transcriptomics.Clinics in perinatology · 2015Review
- Affect of Early Life Oxygen Exposure on Proper Lung Development and Response to Respiratory Viral Infections.Frontiers in medicine · 2015Review
- The genome-wide transcriptional response to neonatal hyperoxia identifies Ahr as a key regulator.American journal of physiology. Lung cellular and molecular physiology · 2014Article
- Dynamic expression of chymotrypsin-like elastase 1 over the course of murine lung development.American journal of physiology. Lung cellular and molecular physiology · 2014Article
- The genomic origins of asthma.Thorax · 2014Review
- An overlapping set of genes is regulated by both NFIB and the glucocorticoid receptor during lung maturation.BMC genomics · 2014Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
A greater understanding of the regulatory processes contributing to lung development could help ameliorate morbidity and mortality in premature infants and identify individuals at risk for congenital and/or chronic lung diseases. Genomics technologies have provided rich gene expression datasets for the developing lung that enable systems biology approaches for identifying large-scale molecular signatures within this complex phenomenon. Here, we applied unsupervised principal component analysis on two developing lung datasets and identified common dominant transcriptomic signatures. Of particular interest, we identify an overlying biological program we term "time-to-birth," which describes the distance in age from the day of birth. We identify groups of genes contributing to the time-to-birth molecular signature. Statistically overrepresented are genes involved in oxygen and gas transport activity, as expected for a transition to air breathing, as well as host defense function. In addition, we identify genes with expression patterns associated with the initiation of alveolar formation. Finally, we present validation of gene expression patterns across the two datasets, and independent validation of select genes by qPCR and immunohistochemistry. These data contribute to our understanding of genetic components contributing to large-scale biological processes and may be useful, particularly in animal models of abnormal lung development, to predict the state of organ development or preparation for birth.
Indexed as
Identifiers
What OpenQuestion holds
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.