ArticleiScience2018
The Body-wide Transcriptome Landscape of Disease Models.
Article in iScience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
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
12 citing papers in PubMed, 21 citations in OpenAlex.
- Cell type-specific weighting-factors to solve solid organs-specific limitations of single cell RNA-sequencing.PLoS genetics · 2024Article
- Article
- Multifaceted analysis of cross-tissue transcriptomes reveals phenotype-endotype associations in atopic dermatitis.Nature communications · 2023Article
- IntiCom-DB: A Manually Curated Database of Inter-Tissue Communication Molecules and Their Communication Routes.Biology · 2023Article
- Modeling of cancer-related body-wide effects identifies LTB4 as a diagnostic biomarker for pancreatic cancer.EBioMedicine · 2022Article
- Non-invasive human skin transcriptome analysis using mRNA in skin surface lipids.Communications biology · 2022Article
- Interleukin-36 Cytokine/Receptor Signaling: A New Target for Tissue Fibrosis.International journal of molecular sciences · 2020Review
- Interleukin-36α as a potential biomarker for renal tubular damage induced by dietary phosphate load.FEBS open bio · 2020Article
- Article
- Increased fibroblast growth factor-21 in chronic kidney disease is a trade-off between survival benefit and blood pressure dysregulation.Scientific reports · 2019Article
- Decoding the Body Language of Immunity: Tackling the Immune System at the Organism Level.Current opinion in systems biology · 2019Article
- Molecular Systems Biology of Neurodevelopmental Disorders, Rett Syndrome as an Archetype.Frontiers in integrative neuroscience · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 6 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Virtually all diseases affect multiple organs. However, our knowledge of the body-wide effects remains limited. Here, we report the body-wide transcriptome landscape across 13-23 organs of mouse models of myocardial infarction, diabetes, kidney diseases, cancer, and pre-mature aging. Using such datasets, we find (1) differential gene expression in diverse organs across all models; (2) skin as a disease-sensor organ represented by disease-specific activities of putative gene-expression network; (3) a bone-skin cross talk mediated by a bone-derived hormone, FGF23, in response to dysregulated phosphate homeostasis, a known risk-factor for kidney diseases; (4) candidates for the signature activities of many more putative inter-organ cross talk for diseases; and (5) a cross-species map illustrating organ-to-organ and model-to-disease relationships between human and mouse. These findings demonstrate the usefulness and the potential of such body-wide datasets encompassing mouse models of diverse disease types as a resource in biological and medical sciences. Furthermore, the findings described herein could be exploited for designing disease diagnosis and treatment.
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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.