Fatma Uzbas

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  • O’Neill, A. C., Uzbas, F., Antognolli, G., Merino, F., Draganova, K., Jäck, A., Zhang, S., Pedini, G., Schessner, J. P., Cramer, K., Schepers, A., Metzger, F., Esgleas, M., Smialowski, P., Guerrini, R., Falk, S., Feederle, R., Freytag, S., Wang, Z., Bahlo, M. O’Neill, A. C., Uzbas, F., Antognolli, G., Merino, F., Draganova, K., Jäck, A., Zhang, S., Pedini, G., Schessner, J. P., Cramer, K., Schepers, A., Metzger, F., Esgleas, M., Smialowski, P., Guerrini, R., Falk, S., Feederle, R., Freytag, S., Wang, Z., Bahlo, M., Jungmann, R., Bagni, C., Borner, G. H. H., Robertson, S. P., Hauck, S. M., & Götz, M. (2022). Spatial centrosome proteome of human neural cells uncovers disease-relevant heterogeneity. Science, 376(6599): eabf9088. doi:10.1126/science.abf9088.

    Abstract

    The centrosome provides an intracellular anchor for the cytoskeleton, regulating cell division, cell migration, and cilia formation. We used spatial proteomics to elucidate protein interaction networks at the centrosome of human induced pluripotent stem cell–derived neural stem cells (NSCs) and neurons. Centrosome-associated proteins were largely cell type–specific, with protein hubs involved in RNA dynamics. Analysis of neurodevelopmental disease cohorts identified a significant overrepresentation of NSC centrosome proteins with variants in patients with periventricular heterotopia (PH). Expressing the PH-associated mutant pre-mRNA-processing factor 6 (PRPF6) reproduced the periventricular misplacement in the developing mouse brain, highlighting missplicing of transcripts of a microtubule-associated kinase with centrosomal location as essential for the phenotype. Collectively, cell type–specific centrosome interactomes explain how genetic variants in ubiquitous proteins may convey brain-specific phenotypes.
  • Uzbas, F., Opperer, F., Sönmezer, C., Shaposhnikov, D., Sass, S., Krendl, C., Angerer, P., Theis, F. J., Mueller, N. S., & Drukker, M. (2019). BART-Seq: Cost-effective massively parallelized targeted sequencing for genomics, transcriptomics, and single-cell analysis. Genome Biology, 20: 155. doi:10.1186/s13059-019-1748-6.

    Abstract

    We describe a highly sensitive, quantitative, and inexpensive technique for targeted sequencing of transcript cohorts or genomic regions from thousands of bulk samples or single cells in parallel. Multiplexing is based on a simple method that produces extensive matrices of diverse DNA barcodes attached to invariant primer sets, which are all pre-selected and optimized in silico. By applying the matrices in a novel workflow named Barcode Assembly foR Targeted Sequencing (BART-Seq), we analyze developmental states of thousands of single human pluripotent stem cells, either in different maintenance media or upon Wnt/β-catenin pathway activation, which identifies the mechanisms of differentiation induction. Moreover, we apply BART-Seq to the genetic screening of breast cancer patients and identify BRCA mutations with very high precision. The processing of thousands of samples and dynamic range measurements that outperform global transcriptomics techniques makes BART-Seq first targeted sequencing technique suitable for numerous research applications.

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