Single-Cell Mechanoprofiling of Aging and Cancer Using AFM and RGD Peptide Nanofibers

Manola Moretti published a dataset on 2026-05-29 containing atomic force microscopy (AFM) force spectroscopy profiles of single-cell adhesion. The data compares young vs. senescent human dermal fibroblasts, human mesenchymal stromal cells from healthy donors and leukemia patients, and human neuroblastoma cells. The dataset is 7.7 MB and is available under a CC-BY-4.0 license on figshare.

Use Cases

• Training classifiers to discriminate between healthy and senescent cell states based on adhesion mechanoprofiles.
• Informing the design of biofunctional hydrogel sequences for synthetic biomaterials based on adhesion behavior studies.
• Developing novel diagnostic methods for cancer-altered cells using label-free, single-cell adhesion analysis.
• Studying the mechanobiology of cell adhesion to extracellular matrix (ECM)-mimicking peptide hydrogels in a physiological environment.

Strengths

• Dataset is 7.7 MB, indicating a manageable size for download and analysis.
• The description details a novel, label-free method for single-cell adhesion profiling across three distinct biological comparisons.
• Data is licensed under CC-BY-4.0, permitting broad reuse with attribution.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The primary data file is a DOCX document, which may not be a standard format for structured scientific data.

Provenance

Source

Manola Moretti via figshare.

Collection Method

Atomic force microscopy (AFM) force spectroscopy on AFM probes coated with self-assembling RGD peptide hydrogels.

Freshness

Last updated 2026-05-29 04:49:01; freshness should be verified.