Comparative analysis of gene expression in mammalian claustrum subdivisions
Clicks: 1
ID: 317379
2026
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
0.0
/100
1 views
0 readers
AI Quality Assessment
Not analyzed
Readership in this journal
Ranked #88 of 90 articles by views in PNAS nexus
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Abstract The claustrum is a major connectivity hub for cortical circuits and has recently become a nexus for research on cognition, brain state transitions, and mood disorders. While most recent studies focus on mice, there are ongoing debates regarding the definition of rodent claustrum borders, subregions, development, and constitutive cell types. Hence, problems mount when attempting to compare the claustrum across mammals with diverging brain size and morphology. In particular, understanding the primate claustrum remains challenging, because numerous incongruent parcellation schemes for the primate claustrum exist. Here, we propose that evolutionarily conserved subdivisions of the claustrum complex can be identified across mammals by combining gene expression patterns, cytoarchitecture, and topological position. To this end, we compare selected claustrum-specific genes such as Nurr1, Oprk1, Lxn, and Cdh8 in several species including rats, Etruscan shrews, tree shrews, marmoset monkeys, and macaque monkeys to examine patterns of claustrum subdivision across these species.
| Reference Key |
openalex_W7164743877
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Chao Fang, Miao Li, Lanxiang Li, Feng Liang, J Huang, Li Lu, Zhonghua Lu, Hong Wang, Robert K. Naumann |
| Journal | PNAS nexus |
| Year | 2026 |
| DOI |
10.1093/pnasnexus/pgag214
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.