The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
The LC Domain of hnRNPA2 Adopts Similar Conformations in Hydrogel Polymers, Liquid-like Droplets, and Nuclei
Open accessAbstract
SUMMARY Many DNA and RNA regulatory proteins contain polypeptide domains that are unstructured when analyzed in cell lysates. These domains are typified by an over-representation of a limited number of amino acids and have been termed prion-like, intrinsically disordered or low complexity (LC) domains. When incubated at high concentration, certain of these LC domains polymerize into labile, amyloid-like fibers. Here we report methods allowing the generation of a molecular footprint of the polymeric state of the LC domain of hnRNPA2. By deploying this footprinting technique to probe the structure of the native hnRNPA2 protein present in isolated nuclei, we offer evidence that its LC domain exists in a similar conformation as that described for recombinant polymers of the protein. These observations favor biologic utility to the polymerization of LC domains in the pathway of information transfer from gene to message to protein.
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
NIH Image to ImageJ: 25 years of image analysis
Schneider, C. A., Rasband, W. S., & Eliceiri, K. W. (2012) · Nature Methods · doi:10.1038/nmeth.2089 · Cited by 64,638
Lysine acetylation targets protein complexes and co-regulates major cellular functions
Choudhary, C., Kumar, C., Gnad, F., Nielsen, M. L., Rehman, M., Walther, T. C., Olsen, J. V., & Mann, M. (2009) · Science · doi:10.1126/science.1175371 · Cited by 4,040
Kato, M., Han, T. W., Xie, S., Shi, K., Du, X., Wu, L. C., Mirzaei, H., Goldsmith, E. J., Longgood, J., Pei, J., et al. (2012) · Cell · doi:10.1016/j.cell.2012.04.017 · Cited by 2,012
Self-citationNott, T. J., Petsalaki, E., Farber, P., Jervis, D., Fussner, E., Plochowietz, A., Craggs, T. D., Bazett-Jones, D. P., Pawson, T., Forman-Kay, J. D., et al. (2015) · Molecular Cell · doi:10.1016/j.molcel.2015.01.013 · Cited by 1,803
Elbaum-Garfinkle, S., Kim, Y., Szczepaniak, K., Chen, C. C.-H., Eckmann, C. R., Myong, S., & Brangwynne, C. P. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1504822112 · Cited by 1,278
Cited by
Imaging dynamic and selective low-complexity domain interactions that control gene transcription
Chong, S., Dugast-Darzacq, C., Liu, Z., Dong, P., Dailey, G. M., Cattoglio, C., Heckert, A., Banala, S., Lavis, L., Darzacq, X., et al. (2018) · Science · doi:10.1126/science.aar2555 · Cited by 966
Spatiotemporal Control of Intracellular Phase Transitions Using Light-Activated optoDroplets
Shin, Y., Berry, J., Pannucci, N., Haataja, M. P., Toettcher, J. E., & Brangwynne, C. P. (2017) · Cell · doi:10.1016/j.cell.2016.11.054 · Cited by 965
α‐Synuclein aggregation nucleates through liquid‐liquid phase separation
Ray, S., Singh, N., Kumar, R., Patel, K., Pandey, S., Datta, D., Mahato, J., Panigrahi, R., Navalkar, A., Mehra, S., et al. (2020) · Nature Chemistry · doi:10.1038/s41557-020-0465-9 · Cited by 863
Biomimetic peptide self-assembly for functional materials
Levin, A., Hakala, T. A., Schnaider, L., Bernardes, G. J. L., Gazit, E., & Knowles, T. P. J. (2020) · Nature Reviews Chemistry · doi:10.1038/s41570-020-0215-y · Cited by 853
Sequence determinants of protein phase behavior from a coarse-grained model
Dignon, G. L., Zheng, W., Kim, Y. C., Best, R. B., & Mittal, J. (2018) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1005941 · Cited by 677
Metadata
- Authors
- Xiang, S., Kato, M., Wu, L. C., Lin, Y., Ding, M., Zhang, Y., Yu, Y., & McKnight, S. L.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2015-11
- Volume
- 163
- Issue
- 4
- Pages
- 829-839
- ISSN
- 0092-8674 (ISSN-L)
- OpenAlex
- W2100383597
- Cited by
- 298
- References
- 5
- FWCI
- 12.74
- 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: The LC Domain of hnRNPA2 Adopts Similar Conformations in Hydrogel Polymers, Liquid-like Droplets, and Nuclei. https://app.cochat.ai/papers/10.1016/j.cell.2015.10.040
- The paper
- Xiang, S., Kato, M., Wu, L. C., Lin, Y., Ding, M., Zhang, Y., Yu, Y., & McKnight, S. L. (2015). The LC Domain of hnRNPA2 Adopts Similar Conformations in Hydrogel Polymers, Liquid-like Droplets, and Nuclei. Cell. https://doi.org/10.1016/j.cell.2015.10.040
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.