Passer à la navigation principale Passer à la recherche Passer au contenu principal

High-Throughput Mapping of Long-Range Neuronal Projection Using In Situ Sequencing

  • Xiaoyin Chen
  • , Yu Chi Sun
  • , Huiqing Zhan
  • , Justus M. Kebschull
  • , Stephan Fischer
  • , Katherine Matho
  • , Z. Josh Huang
  • , Jesse Gillis
  • , Anthony M. Zador
  • Cold Spring Harbor Laboratory
  • Department of Biology
  • Stanford University

Résultats de recherche: Contribution à un journalArticleRevue par des pairs

162 Citations (Scopus)

Résumé

Understanding neural circuits requires deciphering interactions among 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.

langue originaleAnglais
Pages (de - à)772-786.e19
journalCell
Volume179
Numéro de publication3
Les DOIs
étatPublié - 17 oct. 2019
Modification externeOui

Empreinte digitale

Examiner les sujets de recherche de « High-Throughput Mapping of Long-Range Neuronal Projection Using In Situ Sequencing ». Ensemble, ils forment une empreinte digitale unique.

Contient cette citation