The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Viscoelastic properties of individual glial cells and neurons in the CNS
Open accessAbstract
One hundred fifty years ago glial cells were discovered as a second, non-neuronal, cell type in the central nervous system. To ascribe a function to these new, enigmatic cells, it was suggested that they either glue the neurons together (the Greek word “γλια” means “glue”) or provide a robust scaffold for them (“support cells”). Although both speculations are still widely accepted, they would actually require quite different mechanical cell properties, and neither one has ever been confirmed experimentally. We investigated the biomechanics of CNS tissue and acutely isolated individual neurons and glial cells from mammalian brain (hippocampus) and retina. Scanning force microscopy, bulk rheology, and optically induced deformation were used to determine their viscoelastic characteristics. We found that ( i ) in all CNS cells the elastic behavior dominates over the viscous behavior, ( ii ) in distinct cell compartments, such as soma and cell processes, the mechanical properties differ, most likely because of the unequal local distribution of cell organelles, ( iii ) in comparison to most other eukaryotic cells, both neurons and glial cells are very soft (“rubber elastic”), and ( iv ) intriguingly, glial cells are even softer than their neighboring neurons. Our results indicate that glial cells can neither serve as structural support cells (as they are too soft) nor as glue (because restoring forces are dominant) for neurons. Nevertheless, from a structural perspective they might act as soft, compliant embedding for neurons, protecting them in case of mechanical trauma, and also as a soft substrate required for neurite growth and facilitating neuronal plasticity.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Tissue Cells Feel and Respond to the Stiffness of Their Substrate
Discher, D. E., Janmey, P., & Wang, Y.-L. (2005) · Science · doi:10.1126/science.1116995 · Cited by 6,382
Self-citationADULT NEUROGENESIS IN THE MAMMALIAN CENTRAL NERVOUS SYSTEM
Ming, G.-L., & Song, H. (2005) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.28.051804.101459 · Cited by 1,839
The Optical Stretcher: A Novel Laser Tool to Micromanipulate Cells
Guck, J., Ananthakrishnan, R., Mahmood, H., Moon, T. J., Cunningham, C. C., & Käs, J. (2001) · Biophysical Journal · doi:10.1016/s0006-3495(01)75740-2 · Cited by 977
Self-citationRotsch, C., & Radmacher, M. (2000) · Biophysical Journal · doi:10.1016/s0006-3495(00)76614-8 · Cited by 971
Monitoring and interpretation of intracranial pressure
Czosnyka, M. (2004) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.2003.033126 · Cited by 794
Neurite branching on deformable substrates
Flanagan, L. A., Ju, Y.-E., Marg, B., Osterfield, M., & Janmey, P. A. (2002) · NeuroReport · doi:10.1097/00001756-200212200-00007 · Cited by 759
Self-citationGeorges, P. C., Miller, W. J., Meaney, D. F., Sawyer, E. S., & Janmey, P. A. (2006) · Biophysical Journal · doi:10.1529/biophysj.105.073114 · Cited by 724
Self-citationGesammelte Abhandlungen zur wissenschaftlichen Medicin
Virchow, R. (1862) · Cited by 590
Contribution of the nucleus to the mechanical properties of endothelial cells
Caille, N., Thoumine, O., Tardy, Y., & Meister, J.-J. (2002) · Journal of Biomechanics · doi:10.1016/s0021-9290(01)00201-9 · Cited by 585
Scanning Probe-Based Frequency-Dependent Microrheology of Polymer Gels and Biological Cells
Mahaffy, R. E., Shih, C. K., MacKintosh, F. C., & Käs, J. (2000) · Physical Review Letters · doi:10.1103/physrevlett.85.880 · Cited by 509
Self-citation
Cited by
Electronic dura mater for long-term multimodal neural interfaces
Minev, I. R., Musienko, P., Hirsch, A., Barraud, Q., Wenger, N., Moraud, E. M., Gandar, J., Capogrosso, M., Milekovic, T., Asboth, L., et al. (2015) · Science · doi:10.1126/science.1260318 · Cited by 1,082
Materials and technologies for soft implantable neuroprostheses
Lacour, S. P., Courtine, G., & Guck, J. (2016) · Nature Reviews Materials · doi:10.1038/natrevmats.2016.63 · Cited by 738
Self-citationStiffening hydrogels to probe short- and long-term cellular responses to dynamic mechanics
Guvendiren, M., & Burdick, J. A. (2012) · Nature Communications · doi:10.1038/ncomms1792 · Cited by 707
The effect of substrate stiffness on adult neural stem cell behavior
Leipzig, N. D., & Shoichet, M. S. (2009) · Biomaterials · doi:10.1016/j.biomaterials.2009.09.002 · Cited by 686
Fifty Shades of Brain: A Review on the Mechanical Testing and Modeling of Brain Tissue
Budday, S., Ovaert, T. C., Holzapfel, G. A., Steinmann, P., & Kuhl, E. (2020) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-019-09352-w · Cited by 469
Metadata
- Authors
- Lu, Y.-B., Franze, K., Seifert, G., Steinhäuser, C., Kirchhoff, F., Wolburg, H., Guck, J., Janmey, P., Wei, E.-Q., Käs, J., & Reichenbach, A.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2006-11-21
- Volume
- 103
- Issue
- 47
- Pages
- 17759-17764
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2144007430
- Cited by
- 578
- References
- 34
- FWCI
- 4.37
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Viscoelastic properties of individual glial cells and neurons in the CNS. https://app.cochat.ai/papers/10.1073/pnas.0606150103
- The paper
- Lu, Y.-B., Franze, K., Seifert, G., Steinhäuser, C., Kirchhoff, F., Wolburg, H., Guck, J., Janmey, P., Wei, E.-Q., Käs, J., & Reichenbach, A. (2006). Viscoelastic properties of individual glial cells and neurons in the CNS. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0606150103
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.