Modified cantilever arrays improve sensitivity and reproducibility of nanomechanical sensing in living cells. (December 2018)
- Record Type:
- Journal Article
- Title:
- Modified cantilever arrays improve sensitivity and reproducibility of nanomechanical sensing in living cells. (December 2018)
- Main Title:
- Modified cantilever arrays improve sensitivity and reproducibility of nanomechanical sensing in living cells
- Authors:
- Patil, Samadhan
Al-Jehani, Rajai M.
Etayash, Hashem
Turbe, Valerian
Jiang, Keren
Bailey, Joe
Al-Akkad, Walid
Soudy, Rania
Kaur, Kamaljit
McKendry, Rachel
Thundat, Thomas
Ndieyira, Joseph - Abstract:
- Abstract Mechanical signaling involved in molecular interactions lies at the heart of materials science and biological systems, but the mechanisms involved are poorly understood. Here we use nanomechanical sensors and intact human cells to provide unique insights into the signaling pathways of connectivity networks, which deliver the ability to probe cells to produce biologically relevant, quantifiable and reproducible signals. We quantify the mechanical signals from malignant cancer cells, with 10 cells per ml in 1000-fold excess of non-neoplastic human epithelial cells. Moreover, we demonstrate that a direct link between cells and molecules creates a continuous connectivity which acts like a percolating network to propagate mechanical forces over both short and long length-scales. The findings provide mechanistic insights into how cancer cells interact with one another and with their microenvironments, enabling them to invade the surrounding tissues. Further, with this system it is possible to understand how cancer clusters are able to co-ordinate their migration through narrow blood capillaries. Samadhan Patil et al. report a new method for improving the sensitivity and reproducibility of mechanobiological measurements in malignant cancer cells. Their findings provide insight into the interaction of cells with each other and the microenvironment and may impact our understanding of metastasis.
- Is Part Of:
- Communications biology. Volume 1:Number 1(2018)
- Journal:
- Communications biology
- Issue:
- Volume 1:Number 1(2018)
- Issue Display:
- Volume 1, Issue 1 (2018)
- Year:
- 2018
- Volume:
- 1
- Issue:
- 1
- Issue Sort Value:
- 2018-0001-0001-0000
- Page Start:
- 1
- Page End:
- 13
- Publication Date:
- 2018-12
- Subjects:
- Systems biology -- Periodicals
570.113 - Journal URLs:
- http://link.springer.com/ ↗
https://www.nature.com/commsbio/ ↗ - DOI:
- 10.1038/s42003-018-0179-3 ↗
- Languages:
- English
- ISSNs:
- 2399-3642
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 11039.xml