Transcriptome Architecture of Adult Mouse Brain Revealed by Sparse Coding of Genome-Wide In Situ Hybridization Images

  • Yujie Li
  • Hanbo Chen
  • Xi Jiang
  • Xiang Li
  • Jinglei Lv
  • Meng Li
  • Hanchuan Peng
  • Joe Z. Tsien
  • Tianming Liu
Original Article

DOI: 10.1007/s12021-017-9333-1

Cite this article as:
Li, Y., Chen, H., Jiang, X. et al. Neuroinform (2017). doi:10.1007/s12021-017-9333-1

Abstract

Highly differentiated brain structures with distinctly different phenotypes are closely correlated with the unique combination of gene expression patterns. Using a genome-wide in situ hybridization image dataset released by Allen Mouse Brain Atlas, we present a data-driven method of dictionary learning and sparse coding. Our results show that sparse coding can elucidate patterns of transcriptome organization of mouse brain. A collection of components obtained from sparse coding display robust region-specific molecular signatures corresponding to the canonical neuroanatomical subdivisions including fiber tracts and ventricular systems. Other components revealed finer anatomical delineation of domains previously considered homogeneous. We also build an open-access informatics portal that contains the detail of each component along with its ontology and expressed genes. This portal allows intuitive visualization, interpretation and explorations of the transcriptome architecture of a mouse brain.

Keywords

Sparse coding Data-driven gene clustering Transcriptome Mouse brain anatomy 

Supplementary material

12021_2017_9333_MOESM1_ESM.docx (4.6 mb)
ESM 1(DOCX 4685 kb)

Funding information

Funder NameGrant NumberFunding Note
National Institutes of Health
  • DA033393
  • AG042599

Copyright information

© Springer Science+Business Media New York 2017

Authors and Affiliations

  • Yujie Li
    • 1
  • Hanbo Chen
    • 1
  • Xi Jiang
    • 1
  • Xiang Li
    • 1
  • Jinglei Lv
    • 1
    • 2
  • Meng Li
    • 4
  • Hanchuan Peng
    • 3
  • Joe Z. Tsien
    • 4
  • Tianming Liu
    • 1
  1. 1.Cortical Architecture Imaging and Discovery Lab, Department of Computer Science and Bioimaging Research CenterThe University of GeorgiaAthensUSA
  2. 2.School of AutomationNorthwestern Polytechnical UniversityXi’anChina
  3. 3.Allen Institute for Brain ScienceSeattleUSA
  4. 4.Brain and Behavior Discovery InstituteMedical College of Georgia at Augusta UniversityAugustaUSA

Personalised recommendations