Research in the Camara lab is focused on the development and application of innovative computational approaches to the study of cellular heterogeneity and its role in disease. To this end, we draw ideas from topology, geometry, statistics, physics, and computer science. Combining these approaches with the use of high-throughput single-cell technologies and large-scale population studies, we aim to achieve a better understanding of the cellular composition and cell-to-cell signaling networks of tumors in relation to their genomes. We are particularly interested in deciphering the cellular ecosystem and heterotypic signaling networks of tumors of the central nervous system, both in adults and children; however, we expect our methods to be of utility to a broader community and collaborate with groups working in related areas of research.
Rizvi, A. H.*, Camara, P. G.*, Kandror, E. K., Roberts, T. J., Schieren, I., Maniatis, T., Rabadan, R.: Single-cell topological RNA-seq analysis reveals insights into cellular differentiation and development. Nature Biotechnology 35(6): 551-560, 2017 Notes: *equal contributing authors.
Lee, J.-K., Wang, J., Sa, J. K., Ladewig, E., Lee, H.-O., Lee, I.-H., Kang, H. J., Rosenbloom, D. S., Camara, P. G., Liu, Z., van Nieuwenhuizen, P., Jung, S. W., Choi, S. W., Kim, J., Chen, A., Kim, K. T., Shin, S., Seo, Y. J., Oh, J. M., Shin, Y. J., Park, C. K., Kong, D. S., Seol, H. J., Blumberg, A., Lee, J. I., Iavarone, A., Park, W. Y., Rabadan, R., Nam, D. H.: Spatiotemporal genomic architecture informs precision oncology in glioblastoma. Nature Genetics 49(4): 594-599, 2017.
Camara, P. G.: Topological methods for genomics: present and future directions. Current Opinion in Systems Biology 1: 95-101, 2017.
Rosenbloom, D. S., Camara, P. G., Chu, T., Rabadan, R.: Evolutionary scalpels for dissecting tumor ecosystems. Biochimica et Biophysica Acta (BBA)-Reviews on Cancer 1867(2): 69-83, 2017.
Camara, P. G., Levine, A. J., Rabadan, R.: Inference of ancestral recombination graphs through topological data analysis. PLoS Computational Biology 12(8): e1005071, 2016.
Camara, P. G., Rosenbloom, D. S., Emmett, K. J., Levine, A. J., Rabadan, R.: Topological data analysis generates high-resolution, genome-wide maps of human recombination. Cell Systems 3(1): 83-94, 2016.
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Last updated: 08/20/2018
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