University of Wisconsin–Madison
Abbas Rizvi, PhD

Abbas Rizvi, PhD

Assistant Professor, Neuroscience

Abbas Rizvi, PhD

Biography

PhD, Harvard University

Contact Information

Waisman Center 1500 Highland Avenue Room 715A Madison, WI 53705 ahrizvi@wisc.edu Lab Website: Coming Soon

Research Statement

My research group focuses on studying how patterns of gene regulation, at the level of single cells and spatially resolved, mediate homeostatic function within the central nervous system. We compare these results against neurodegenerative disease states, seeking to understand the molecular and cellular basis for dysfunction.

Selected Publications

Pubmed

Kandror, E. K., Wang, A., Carriere, M., Peterson, A., Liao, W., Tjärnberg, A., Fung, J. H., Mahbubani, K. T., Loper, J., Pangburn, W., Xu, Y., Saeb-Parsy, K., Rabadan, R., Maniatis, T., & Rizvi, A. H. (2025). Enhancer Dynamics and Spatial Organization Drive Anatomically Restricted Cellular States in the Human Spinal Cord. bioRxiv : the preprint server for biology, 2025.01.10.632483. https://doi.org/10.1101/2025.01.10.632483

Knoedler, J. R., Inoue, S., Bayless, D. W., Yang, T., Tantry, A., Davis, C. H., Leung, N. Y., Parthasarathy, S., Wang, G., Alvarado, M., Rizvi, A. H., Fenno, L. E., Ramakrishnan, C., Deisseroth, K., & Shah, N. M. (2022). A functional cellular framework for sex and estrous cycle-dependent gene expression and behavior. Cell, 185(4), 654–671.e22. https://doi.org/10.1016/j.cell.2021.12.031

Rao, B. Y., Peterson, A. M., Kandror, E. K., Herrlinger, S., Losonczy, A., Paninski, L., Rizvi, A. H., & Varol, E. (2021). Non-parametric Vignetting Correction for Sparse Spatial Transcriptomics Images. Medical image computing and computer-assisted intervention : MICCAI … International Conference on Medical Image Computing and Computer-Assisted Intervention, 12908, 466–475. https://doi.org/10.1007/978-3-030-87237-3_45

Rizvi, A. H., Camara, P. G., Kandror, E. K., Roberts, T. J., Schieren, I., Maniatis, T., & Rabadan, R. (2017). Single-cell topological RNA-seq analysis reveals insights into cellular differentiation and development. Nature Biotechnology, 35(6), 551–560. https://doi.org/10.1038/nbt.3854