Searching the Resource Information Network

Our searching services are busy right now. Please try again later

X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

Spatial transcriptomics reveals unique gene expression changes in different brain regions after sleep deprivation.

Yann Vanrobaeys | Zeru J Peterson | Emily N Walsh | Snehajyoti Chatterjee | Li-Chun Lin | Lisa C Lyons | Thomas Nickl-Jockschat | Ted Abel
Nature communications | 2023

Sleep deprivation has far-reaching consequences on the brain and behavior, impacting memory, attention, and metabolism. Previous research has focused on gene expression changes in individual brain regions, such as the hippocampus or cortex. Therefore, it is unclear how uniformly or heterogeneously sleep loss affects the brain. Here, we use spatial transcriptomics to define the impact of a brief period of sleep deprivation across the brain in male mice. We find that sleep deprivation induced pronounced differences in gene expression across the brain, with the greatest changes in the hippocampus, neocortex, hypothalamus, and thalamus. Both the differentially expressed genes and the direction of regulation differed markedly across regions. Importantly, we developed bioinformatic tools to register tissue sections and gene expression data into a common anatomical space, allowing a brain-wide comparison of gene expression patterns between samples. Our results suggest that distinct molecular mechanisms acting in discrete brain regions underlie the biological effects of sleep deprivation.

Pubmed ID: 37925446

Research resources used in this publication

None found

Antibodies used in this publication

None found

Associated grants

  • Agency: NICHD NIH HHS, United States
    Id: P50 HD103556
  • Agency: NIA NIH HHS, United States
    Id: R01 AG062398

Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.

This is a list of tools and resources that we have found mentioned in this publication.


STAR (tool)

RRID:SCR_004463

Software performing alignment of high-throughput RNA-seq data. Aligns RNA-seq reads to reference genome using uncompressed suffix arrays.

View all literature mentions

Jackson Laboratory (tool)

RRID:SCR_004633

An independent, nonprofit organization focused on mammalian genetics research to advance human health. Their mission is to discover the genetic basis for preventing, treating, and curing human disease, and to enable research for the global biomedical community. Jackson Laboratory breeds and manages colonies of mice as resources for other research institutions and laboratories, along with providing software and techniques. Jackson Lab also conducts genetic research and provides educational material for various educational levels.

View all literature mentions

ToppGene Suite (tool)

RRID:SCR_005726

ToppGene Suite is a one-stop portal for gene list enrichment analysis and candidate gene prioritization based on functional annotations and protein interactions network. ToppGene Suite is a one-stop portal for (i) gene list functional enrichment, (ii) candidate gene prioritization using either functional annotations or network analysis and (iii) identification and prioritization of novel disease candidate genes in the interactome. Functional annotation-based disease candidate gene prioritization uses a fuzzy-based similarity measure to compute the similarity between any two genes based on semantic annotations. The similarity scores from individual features are combined into an overall score using statistical meta-analysis.

View all literature mentions

ClueGO (tool)

RRID:SCR_005748

A Cytoscape plug-in that visualizes the non-redundant biological terms for large clusters of genes in a functionally grouped network. It can be used in combination with GOlorize. The identifiers can be uploaded from a text file or interactively from a network of Cytoscape. The type of identifiers supported can be easily extended by the user. ClueGO performs single cluster analysis and comparison of clusters. From the ontology sources used, the terms are selected by different filter criteria. The related terms which share similar associated genes can be combined to reduce redundancy. The ClueGO network is created with kappa statistics and reflects the relationships between the terms based on the similarity of their associated genes. On the network, the node colour can be switched between functional groups and clusters distribution. ClueGO charts are underlying the specificity and the common aspects of the biological role. The significance of the terms and groups is automatically calculated. ClueGO is easy updatable with the newest files from Gene Ontology and KEGG. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible

View all literature mentions

Allen Mouse Brain Common Coordinate Framework (tool)

RRID:SCR_020999

3D reference atlas to use with online datasets or as standalone resources. Can be used to analyze, visualize, and integrate multimodal and multiscale datasets in 3D. Intensity and shape population average template brain serves as basis of reference space and coordinate system. Average was constructed at 10 um voxel resolution by interpolating high resolution serial two photon tomography images from young adult C57BL/6J mice. Using multimodal reference data, entire brain was directly parcellated in 3D, labeling every voxel with brain structure from Allen Mouse Reference Atlas Ontology. In the 2017 release, the parcellation spanned 43 isocortical areas and their layers, 329 subcortical gray matter structures, 81 fiber tracts, and 8 ventricular structures.

View all literature mentions