J
Justus M. Kebschull
Researcher at Stanford University
Publications - 50
Citations - 1824
Justus M. Kebschull is an academic researcher from Stanford University. The author has contributed to research in topics: Connectome & Connectomics. The author has an hindex of 17, co-authored 42 publications receiving 1144 citations. Previous affiliations of Justus M. Kebschull include Howard Hughes Medical Institute & Cold Spring Harbor Laboratory.
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Journal ArticleDOI
High-throughput mapping of single neuron projections by sequencing of barcoded RNA
Justus M. Kebschull,Justus M. Kebschull,Pedro Garcia da Silva,Ashlan P Reid,Ian D. Peikon,Ian D. Peikon,Dinu F. Albeanu,Anthony M. Zador +7 more
TL;DR: Applying MAPseq to the locus coeruleus (LC), it is found that individual LC neurons have preferred cortical targets and harnesses advances in sequencing technology to permit high-throughput interrogation of brain circuits.
Journal ArticleDOI
The logic of single-cell projections from visual cortex.
Yunyun Han,Yunyun Han,Justus M. Kebschull,Justus M. Kebschull,Robert A. A. Campbell,Devon Cowan,Fabia Imhof,Anthony M. Zador,Thomas D. Mrsic-Flogel,Thomas D. Mrsic-Flogel +9 more
TL;DR: The results indicate that the dominant mode of intracortical information transfer is not based on ‘one neuron–one target area’ mapping, and instead, signals carried by individual cortical neurons are shared across subsets of target areas, and thus concurrently contribute to multiple functional pathways.
Journal ArticleDOI
Sources of PCR-induced distortions in high-throughput sequencing data sets
TL;DR: It is found that PCR stochasticity is the major force skewing sequence representation after amplification of a pool of unique DNA amplicons, and will have particular relevance to quantification of results from single cell sequencing, in which sequences are represented by only one or a few molecules.
Journal ArticleDOI
High-throughput mapping of long-range neuronal projection using in situ sequencing
Xiaoyin Chen,Yu Chi Sun,Huiqing Zhan,Justus M. Kebschull,Justus M. Kebschull,Stephan Fischer,Katherine Matho,Z. Josh Huang,Jesse Gillis,Anthony M. Zador +9 more
TL;DR: BARseq is introduced, 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 that can potentially uncover the organizing principles underlying the structure and formation of neural circuits.
Journal ArticleDOI
Cellular barcoding: lineage tracing, screening and beyond.
TL;DR: A review of cellular barcoding fundamentals and applications, including powerful approaches for lineage reconstruction, genetic screening, and the recording of cellular activity and neuroanatomy.