Omics · study · 2026
Mechanical stress remodeling drives epithelial-mesenchymal transition in the tumor microenvironment
Listed in NCBI GEO
The dynamic mechanical response of tissues underlies their physiological function, yet direct, quantitative measurement of tissue stress in vivo has remained a major challenge.
Description
Here, we introduce the mechanoMR microparticle (M³) sensor, a platform that transduces local tissue mechanical stress into quantitative magnetic resonance (MR) readouts with single-particle resolution. The sensor comprises alginate hydrogel microparticles (~70 μm) homogeneously embedded with Zn₀.₄Fe₂.₆O₄ magnetic nanoparticles, where stress-induced hydrogel compression reduces local water content and restricts proton diffusion surrounding the magnetic nanoparticles, thereby modulating magnetic nanoparticle-mediated transverse relaxation (R₂).
Calibration of the stress-R₂ relationship enables quantitative measurement of local tissue stress over a physiologically relevant range of 0-15 kPa. We demonstrate the platform in tumor spheroids and mouse xenografts, enabling non-invasive, spatiotemporal mapping of tissue stress during tumor progression. Using this approach, we show that epithelial-mesenchymal transition (EMT) is accompanied by distinct stress-remodeling patterns in vivo.
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Strikingly, abrupt stress increases, rather than cumulative or peak stress magnitude, determine EMT induction. Transcriptomic profiling reveals that gradual stress loading activates cytoprotective FOXO/AMPK pathways that reinforce epithelial stability, whereas acute stress surges overwhelm these defense mechanisms, predisposing cells to mesenchymal reprogramming. These findings establish the M3 sensor as a broadly applicable platform for linking tissue mechanics to cell-state transitions in development and disease.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE343nnn/GSE343051 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE343051 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1509960 ncbi.nlm.nih.gov/bioproject/PRJNA1509960 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- Biochemistry and cell biology 69% · Cancer 65% · Disease 75% · Magnetic resonance imaging 65%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE343051 | 15 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[disease].local:disease:cancer | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[disease].local:disease:disease | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].anzsrc:group:3101 | enrichment · NCBI GEO | taxonomy-embedding@1.1.0 | title+keywords+description (69%) |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[modality].local:modality:mri | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[organism].NCBITaxon:9606 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |