Professional Education

  • Doctor of Philosophy, Watson School of Biological Sciences (CSH Lab) (2017)
  • Master of Science, University of Cambridge (2011)
  • Bachelor of Arts, University of Cambridge (2011)

Contact

  • Academic
    justusk@stanford.edu
    University - Scholar Department: Biology Position: Postdoctoral Scholar

Additional Info

  • Mail Code: 5020

Links

All Publications

  • High-Throughput Mapping of Long-Range Neuronal Projection Using In Situ Sequencing. Cell Chen, X., Sun, Y., Zhan, H., Kebschull, J. M., Fischer, S., Matho, K., Huang, Z. J., Gillis, J., Zador, A. M. 2019; 179 (3): 772

    Abstract

    Understanding neural circuits requires deciphering interactionsamong myriad cell types defined by spatial organization, connectivity, gene expression, and other properties. Resolving these cell types requires both single-neuron resolution and high throughput, a challenging combination with conventional methods. Here, we introduce barcoded anatomy resolved by sequencing (BARseq), a multiplexed method based on RNA barcoding for mapping projections of thousands of spatially resolved neurons in a single brain and relating those projections to other properties such as gene or Cre expression. Mapping the projections to 11 areas of 3,579 neurons in mouse auditory cortex using BARseq confirmed the laminar organization of the three top classes (intratelencephalic [IT], pyramidal tract-like [PT-like], and corticothalamic [CT]) of projection neurons. In depth analysis uncovered a projection type restricted almost exclusively to transcriptionally defined subtypes of IT neurons. By bridging anatomical and transcriptomic approaches at cellular resolution with high throughput, BARseq can potentially uncover the organizing principles underlying the structure and formation of neural circuits.

    View details for DOI 10.1016/j.cell.2019.09.023

    View details for PubMedID 31626774

  • DNA sequencing in high-throughput neuroanatomy. Journal of chemical neuroanatomy Kebschull, J. M. 2019: 101653

    Abstract

    Mapping brain connectivity at single cell resolution is critical for understanding brain structure. For decades, such mapping has been principally approached with microscopy techniques, aiming to visualize neurons and their connections. However, these techniques are very labor intensive and do not scale well to the complexity of mammalian brains. We recently leveraged the speed and parallelization of DNA sequencing to map the projections of thousands of single neurons in single experiments, and to map cortical mesoscale connectivity in single mice. Here, I review the state of sequencing-based neuroanatomy, and discuss future directions in synaptic connectivity mapping and comparative connectomics.

    View details for DOI 10.1016/j.jchemneu.2019.101653

    View details for PubMedID 31173871