Literature DB >> 32619423

BRICseq Bridges Brain-wide Interregional Connectivity to Neural Activity and Gene Expression in Single Animals.

Longwen Huang1, Justus M Kebschull2, Daniel Fürth1, Simon Musall1, Matthew T Kaufman3, Anne K Churchland1, Anthony M Zador4.   

Abstract

Comprehensive analysis of neuronal networks requires brain-wide measurement of connectivity, activity, and gene expression. Although high-throughput methods are available for mapping brain-wide activity and transcriptomes, comparable methods for mapping region-to-region connectivity remain slow and expensive because they require averaging across hundreds of brains. Here we describe BRICseq (brain-wide individual animal connectome sequencing), which leverages DNA barcoding and sequencing to map connectivity from single individuals in a few weeks and at low cost. Applying BRICseq to the mouse neocortex, we find that region-to-region connectivity provides a simple bridge relating transcriptome to activity: the spatial expression patterns of a few genes predict region-to-region connectivity, and connectivity predicts activity correlations. We also exploited BRICseq to map the mutant BTBR mouse brain, which lacks a corpus callosum, and recapitulated its known connectopathies. BRICseq allows individual laboratories to compare how age, sex, environment, genetics, and species affect neuronal wiring and to integrate these with functional activity and gene expression.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  BRICseq; MAPseq; connectome; high-throughput sequencing; mesoscale

Mesh:

Year:  2020        PMID: 32619423      PMCID: PMC7771207          DOI: 10.1016/j.cell.2020.05.029

Source DB:  PubMed          Journal:  Cell        ISSN: 0092-8674            Impact factor:   41.582


  18 in total

1.  Highlights from the Era of Open Source Web-Based Tools.

Authors:  Kristin R Anderson; Julie A Harris; Lydia Ng; Pjotr Prins; Sara Memar; Bengt Ljungquist; Daniel Fürth; Robert W Williams; Giorgio A Ascoli; Dani Dumitriu
Journal:  J Neurosci       Date:  2021-01-20       Impact factor: 6.167

2.  Connectomics in high throughput.

Authors:  Nina Vogt
Journal:  Nat Methods       Date:  2020-09       Impact factor: 28.547

Review 3.  Anatomical and functional connectomes underlying hierarchical visual processing in mouse visual system.

Authors:  Răzvan Gămănuţ; Daisuke Shimaoka
Journal:  Brain Struct Funct       Date:  2021-11-30       Impact factor: 3.270

Review 4.  Advancements in the Quest to Map, Monitor, and Manipulate Neural Circuitry.

Authors:  Jessica L Swanson; Pey-Shyuan Chin; Juan M Romero; Snigdha Srivastava; Joshua Ortiz-Guzman; Patrick J Hunt; Benjamin R Arenkiel
Journal:  Front Neural Circuits       Date:  2022-05-26       Impact factor: 3.342

Review 5.  The diversity and specificity of functional connectivity across spatial and temporal scales.

Authors:  Tatiana A Engel; Marieke L Schölvinck; Christopher M Lewis
Journal:  Neuroimage       Date:  2021-10-29       Impact factor: 7.400

6.  Sequencing-Based High-Throughput Neuroanatomy: From Mapseq to Bricseq and Beyond.

Authors:  Xiaoyang Wu; Qi Zhang; Ling Gong; Miao He
Journal:  Neurosci Bull       Date:  2021-03-08       Impact factor: 5.203

7.  Integrating barcoded neuroanatomy with spatial transcriptional profiling enables identification of gene correlates of projections.

Authors:  Yu-Chi Sun; Xiaoyin Chen; Stephan Fischer; Shaina Lu; Huiqing Zhan; Jesse Gillis; Anthony M Zador
Journal:  Nat Neurosci       Date:  2021-05-10       Impact factor: 28.771

Review 8.  Emerging strategies for the genetic dissection of gene functions, cell types, and neural circuits in the mammalian brain.

Authors:  Ling Gong; Xue Liu; Jinyun Wu; Miao He
Journal:  Mol Psychiatry       Date:  2021-09-24       Impact factor: 15.992

Review 9.  Widening spinal injury research to consider all supraspinal cell types: Why we must and how we can.

Authors:  Murray Blackmore; Elizabeth Batsel; Pantelis Tsoulfas
Journal:  Exp Neurol       Date:  2021-09-11       Impact factor: 5.330

10.  Assessing the replicability of spatial gene expression using atlas data from the adult mouse brain.

Authors:  Shaina Lu; Cantin Ortiz; Daniel Fürth; Stephan Fischer; Konstantinos Meletis; Anthony Zador; Jesse Gillis
Journal:  PLoS Biol       Date:  2021-07-19       Impact factor: 8.029

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