The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Line Tensions, Correlation Lengths, and Critical Exponents in Lipid Membranes Near Critical Points
Open accessAbstract
Membranes containing a wide variety of ternary mixtures of high chain-melting temperature lipids, low chain-melting temperature lipids, and cholesterol undergo lateral phase separation into coexisting liquid phases at a miscibility transition. When membranes are prepared from a ternary lipid mixture at a critical composition, they pass through a miscibility critical point at the transition temperature. Since the critical temperature is typically on the order of room temperature, membranes provide an unusual opportunity in which to perform a quantitative study of biophysical systems that exhibit critical phenomena in the two-dimensional Ising universality class. As a critical point is approached from either high or low temperature, the scale of fluctuations in lipid composition, set by the correlation length, diverges. In addition, as a critical point is approached from low temperature, the line tension between coexisting phases decreases to zero. Here we quantitatively evaluate the temperature dependence of line tension between liquid domains and of fluctuation correlation lengths in lipid membranes to extract a critical exponent, nu. We obtain nu = 1.2 +/- 0.2, consistent with the Ising model prediction nu = 1. We also evaluate the probability distributions of pixel intensities in fluorescence images of membranes. From the temperature dependence of these distributions above the critical temperature, we extract an independent critical exponent of beta = 0.124 +/- 0.03, which is consistent with the Ising prediction of beta = 1/8.
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
Itzykson, C., & Drouffe, J.-M. (1989) · doi:10.1017/cbo9780511622779 · Cited by 885
Cited by
Critical Fluctuations in Plasma Membrane Vesicles
Veatch, S. L., Cicuta, P., Sengupta, P., Honerkamp-Smith, A., Holowka, D., & Baird, B. (2008) · ACS Chemical Biology · doi:10.1021/cb800012x · Cited by 468
Self-citationRegulation of Transmembrane Signaling by Phase Separation
Case, L. B., Ditlev, J. A., & Rosen, M. K. (2019) · Annual Review of Biophysics · doi:10.1146/annurev-biophys-052118-115534 · Cited by 303
Honerkamp-Smith, A. R., Veatch, S. L., & Keller, S. L. (2009) · Biochimica et Biophysica Acta (BBA) - Biomembranes · doi:10.1016/j.bbamem.2008.09.010 · Cited by 286
Self-citationBilayer Thickness Mismatch Controls Domain Size in Model Membranes
Heberle, F. A., Petruzielo, R. S., Pan, J., Drazba, P., Kučerka, N., Standaert, R. F., Feigenson, G. W., & Katsaras, J. (2013) · Journal of the American Chemical Society · doi:10.1021/ja3113615 · Cited by 285
The Molecular Structure of the Liquid-Ordered Phase of Lipid Bilayers
Sodt, A. J., Sandar, M. L., Gawrisch, K., Pastor, R. W., & Lyman, E. (2014) · Journal of the American Chemical Society · doi:10.1021/ja4105667 · Cited by 256
Metadata
- Authors
- Honerkamp-Smith, A. R., Cicuta, P., Collins, M. D., Veatch, S. L., den Nijs, M., Schick, M., & Keller, S. L.
- Venue
- Biophysical Journal
- Publisher
- Elsevier BV
- Published
- 2008-07
- Volume
- 95
- Issue
- 1
- Pages
- 236-246
- ISSN
- 0006-3495 (ISSN-L)
- OpenAlex
- W2139050239
- Cited by
- 324
- References
- 1
- FWCI
- 10.79
- 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: Line Tensions, Correlation Lengths, and Critical Exponents in Lipid Membranes Near Critical Points. https://app.cochat.ai/papers/10.1529/biophysj.107.128421
- The paper
- Honerkamp-Smith, A. R., Cicuta, P., Collins, M. D., Veatch, S. L., den Nijs, M., Schick, M., & Keller, S. L. (2008). Line Tensions, Correlation Lengths, and Critical Exponents in Lipid Membranes Near Critical Points. Biophysical Journal. https://doi.org/10.1529/biophysj.107.128421
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.