iLaminaRGeneVis

iLaminaRGeneVis visualizes and compares gene expression across cortical layers of the adult human neocortex by integrating bulk, single-nucleus, and spatial RNA sequencing datasets.

Key Features:

• Multi-dataset integration: Consolidates bulk RNA-seq, single-nucleus RNA-seq, and spatial RNA-seq datasets for laminar analyses.
• Normalization and cross-study comparison: Applies dataset normalization to enable comparisons across studies and sequencing modalities.
• Single- and multi-gene analysis: Supports analysis of individual genes and gene sets to evaluate laminar expression patterns.
• Visualization and statistical outputs: Produces figures and statistics for assessment of gene expression across cortical layers.

Scientific Applications:

• Mapping laminar-specific expression: Identify and characterize genes enriched in distinct cortical layers of the adult human neocortex.
• Comparative transcriptomics: Compare layer-associated expression profiles across bulk, single-nucleus, and spatial RNA-seq data.
• Linking molecular patterns to cortical architecture: Investigate how gene expression variation corresponds to laminar organization and neuroanatomical structure.

Methodology:

Integration of bulk, single-nucleus, and spatial RNA sequencing datasets followed by dataset normalization and generation of figures and statistics to assess laminar gene expression.