ArticleNature nanotechnology2025
Nanoneedles enable spatiotemporal lipidomics of living tissues.
Article in Nature nanotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Ambient high-spatial-resolution mass spectrometry imaging: recent advances in technologies and metabolomics studies.Trends in analytical chemistry : TRAC · 2026Article
- Poking Pluripotency: Nanoinjection Into Human iPSCs.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- A new paradigm for tumour profiling: Spatiotemporal omics in living tissue.Clinical and translational medicine · 2025Article
- Ceramic crystals stretch like metal.Nature nanotechnology · 2025Article
Corrections and comments
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Authors and funding
19 authors.
Funding
Abstract
Spatial biology provides high-content diagnostic information by mapping the molecular composition of tissues. However, traditional spatial biology approaches typically require non-living samples, limiting temporal analysis. Here, to address this limitation, we present a workflow using porous silicon nanoneedles to repeatedly collect biomolecules from live brain tissues and map lipid distribution through desorption electrospray ionization mass spectrometry imaging. This method preserves the integrity of the original tissue while replicating its spatial molecular profile on the nanoneedle substrate, accurately reflecting lipid distribution and tissue morphology. Machine learning analysis of 23 human glioma biopsies demonstrated that nanoneedle sampling enables the precise classification of disease states. Furthermore, a spatiotemporal analysis of mouse gliomas treated with temozolomide revealed time- and treatment-dependent variations in lipid composition. Our approach enables non-destructive spatiotemporal lipidomics, advancing molecular diagnostics for precision medicine.
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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 Socratic graph.