ArticleNature communications2025
Unveiling aging heterogeneities in human dermal fibroblasts via nanosensor chemical cytometry.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Structural, Compositional, and Dielectric State Profiling in Label-Free Single-Cell Monitoring.Small methods · 2026Review
- Emerging hallmarks and the rise of complexities and heterogeneity of tumor.Biochemistry and biophysics reports · 2025Review
- Unveiling aging heterogeneities in human dermal fibroblasts via nanosensor chemical cytometry.Nature communications · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aging heterogeneity in tissue-regenerative cells leads to variable therapeutic outcomes, complicating quality control and clinical predictability. Conventional analytical methods relying on labeling or cell lysis are destructive and incompatible with downstream therapeutic applications. Here we show a label-free, nondestructive single-cell analysis platform based on nanosensor chemical cytometry (NCC), integrated with automated hardware and deep learning. nIR fluorescent single-walled carbon nanotube arrays in a microfluidic channel, together with photonic nanojet lensing, extract four key aging phenotypes (cell size, shape, refractive index, and H
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Registered trials
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