The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Quantitative Morphological Signatures Define Local Signaling Networks Regulating Cell Morphology
Open accessAbstract
Although classical genetic and biochemical approaches have identified hundreds of proteins that function in the dynamic remodeling of cell shape in response to upstream signals, there is currently little systems-level understanding of the organization and composition of signaling networks that regulate cell morphology. We have developed quantitative morphological profiling methods to systematically investigate the role of individual genes in the regulation of cell morphology in a fast, robust, and cost-efficient manner. We analyzed a compendium of quantitative morphological signatures and described the existence of local signaling networks that act to regulate cell protrusion, adhesion, and tension.
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Cites
Multidimensional Drug Profiling By Automated Microscopy
Perlman, Z. E., Slack, M. D., Feng, Y., Mitchison, T. J., Wu, L. F., & Altschuler, S. J. (2004) · Science · doi:10.1126/science.1100709 · Cited by 660
Kunda, P., Craig, G., Dominguez, V., & Baum, B. (2003) · Current Biology · doi:10.1016/j.cub.2003.10.005 · Cited by 341
Cited by
Data-analysis strategies for image-based cell profiling
Caicedo, J. C., Cooper, S., Heigwer, F., Warchal, S., Qiu, P., Molnar, C., Vasilevich, A. S., Barry, J. D., Bansal, H. S., Kraus, O., et al. (2017) · Nature Methods · doi:10.1038/nmeth.4397 · Cited by 739
Phagocytosis: Receptors, signal integration, and the cytoskeleton
Freeman, S. A., & Grinstein, S. (2014) · Immunological Reviews · doi:10.1111/imr.12212 · Cited by 548
Müller, P. M., Rademacher, J., Bagshaw, R. D., Wortmann, C., Barth, C., van Unen, J., Alp, K. M., Giudice, G., Eccles, R. L., Heinrich, L. E., et al. (2020) · Nature Cell Biology · doi:10.1038/s41556-020-0488-x · Cited by 253
Self-citationSingle-cell morphology encodes metastatic potential
Wu, P.-H., Gilkes, D. M., Phillip, J. M., Narkar, A., Cheng, T. W.-T., Marchand, J., Lee, M.-H., Li, R., & Wirtz, D. (2020) · Science Advances · doi:10.1126/sciadv.aaw6938 · Cited by 177
Structural Phenotyping of Stem Cell-Derived Cardiomyocytes
Pasqualini, F. S., Sheehy, S. P., Agarwal, A., Aratyn-Schaus, Y., & Parker, K. K. (2015) · Stem Cell Reports · doi:10.1016/j.stemcr.2015.01.020 · Cited by 101
Metadata
- Authors
- Bakal, C., Aach, J., Church, G., & Perrimon, N.
- Venue
- Science
- Published
- 2007-06-22
- Volume
- 316
- Issue
- 5832
- Pages
- 1753-1756
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2075744820
- Cited by
- 318
- References
- 2
- FWCI
- 8.43
- Type
- journal article
- Language
- en
- Open access
- green
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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.
