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Reversible Unfolding of Individual Titin Immunoglobulin Domains by AFM
Abstract
Single-molecule atomic force microscopy (AFM) was used to investigate the mechanical properties of titin, the giant sarcomeric protein of striated muscle. Individual titin molecules were repeatedly stretched, and the applied force was recorded as a function of the elongation. At large extensions, the restoring force exhibited a sawtoothlike pattern, with a periodicity that varied between 25 and 28 nanometers. Measurements of recombinant titin immunoglobulin segments of two different lengths exhibited the same pattern and allowed attribution of the discontinuities to the unfolding of individual immunoglobulin domains. The forces required to unfold individual domains ranged from 150 to 300 piconewtons and depended on the pulling speed. Upon relaxation, refolding of immunoglobulin domains was observed.
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Citations
Cited by
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Fantner, G. E., Hassenkam, T., Kindt, J. H., Weaver, J. C., Birkedal, H., Pechenik, L., Cutroni, J. A., Cidade, G. A. G., Stucky, G. D., Morse, D. E., et al. (2005) · Nature Materials · doi:10.1038/nmat1428 · Cited by 933
Single-Molecule Optomechanical Cycle
Hugel, T., Holland, N. B., Cattani, A., Moroder, L., Seitz, M., & Gaub, H. E. (2002) · Science · doi:10.1126/science.1069856 · Cited by 836
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Metadata
- Authors
- Rief, M., Gautel, M., Oesterhelt, F., Fernandez, J. M., & Gaub, H. E.
- Venue
- Science
- Published
- 1997-05-16
- Volume
- 276
- Issue
- 5315
- Pages
- 1109-1112
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2058912578
- Cited by
- 3,077
- References
- 0
- FWCI
- 65.43
- Type
- journal article
- Language
- en
- Open access
- closed
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- Rief, M., Gautel, M., Oesterhelt, F., Fernandez, J. M., & Gaub, H. E. (1997). Reversible Unfolding of Individual Titin Immunoglobulin Domains by AFM. Science. https://doi.org/10.1126/science.276.5315.1109
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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.
