ArticleNature aging2023
Spatial and single-cell profiling of the metabolome, transcriptome and epigenome of the aging mouse liver.
Article in Nature aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 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.
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Who cites it
43 citing papers in PubMed, 51 citations in OpenAlex.
- Bridging Organ-on-a-Chip and Omics: A Multi-Dimensional Frontier in Biomedical Research.Biotechnology and bioengineering · 2026Review
- Review
- The Spatial Redox-Metalloptosis Axis in Liver Disease: A Hypothesis on Regional Susceptibility to Ferroptosis and Cuproptosis.Antioxidants (Basel, Switzerland) · 2026Review
- SpatialFlux: an R package for distance gradient analysis in spatial transcriptomics.Bioinformatics (Oxford, England) · 2026Article
- An ANGPTL8-AKT2-mTOR Axis Drives Adipose Senescence and Aging-Related Functional Decline.Aging cell · 2026Article
- Review
- Isolation of Mononucleated and Binucleated Hepatocytes by Flow Cytometry.Bio-protocol · 2026Article
- Article
- Lactate-Primed NETosis Modulates Hepatic Regeneration During Acute Liver Failure via the TLR9/KLF15/AJUBA Axis.Cell proliferation · 2026Article
- Integrated single cell and spatial transcriptomics reveals the cellular and molecular mechanisms underlying UCMSCs treatment of ovarian aging in tree shrews.Stem cell research & therapy · 2026Article
- HIRA-mediated H3.3 deposition preserves hepatocyte cell identity during liver aging.Research square · 2026Article
- Spatiotemporal Transcriptomics Characterizes Immune Microenvironment During Mouse Liver Aging.Aging cell · 2026Article
- Dissecting the coordinated progression of cell states in spatial transcriptomics with CoPro.bioRxiv : the preprint server for biology · 2026Article
- Marine Bioactives in Liver Aging: Mechanistic Insights and Translational Potential.Marine drugs · 2026Review
- Regulated necrosis at the crossroads of liver inflammation and cancer development.Nature reviews. Gastroenterology & hepatology · 2026Review
- Deep-coverage single-cell metabolomics enabled by ion mobility-resolved mass cytometry.Nature methods · 2026Article
- p16Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Oncogenic function and transcriptional dynamics of MYCN in liver tumorigenesis.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Seq-Scope-eXpanded: spatial omics beyond optical resolution.Nature communications · 2026Article
- A spectral dimension reduction technique that improves pattern detection in multivariate spatial data.Bioinformatics (Oxford, England) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors at 10 institutions in 3 countries.
Funding
Abstract
Tissues within an organism and even cell types within a tissue can age with different velocities. However, it is unclear whether cells of one type experience different aging trajectories within a tissue depending on their spatial location. Here, we used spatial transcriptomics in combination with single-cell ATAC-seq and RNA-seq, lipidomics and functional assays to address how cells in the male murine liver are affected by age-related changes in the microenvironment. Integration of the datasets revealed zonation-specific and age-related changes in metabolic states, the epigenome and transcriptome. The epigenome changed in a zonation-dependent manner and functionally, periportal hepatocytes were characterized by decreased mitochondrial fitness, whereas pericentral hepatocytes accumulated large lipid droplets. Together, we provide evidence that changing microenvironments within a tissue exert strong influences on their resident cells that can shape epigenetic, metabolic and phenotypic outputs.
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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.