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Dataset Information

Modelling cell type-specific lncRNA regulatory network in autism with Cycle.


ABSTRACT:

Background

Autism spectrum disorder (ASD) is a class of complex neurodevelopment disorders with high genetic heterogeneity. Long non-coding RNAs (lncRNAs) are vital regulators that perform specific functions within diverse cell types and play pivotal roles in neurological diseases including ASD. Therefore, exploring lncRNA regulation would contribute to deciphering ASD molecular mechanisms. Existing computational methods utilize bulk transcriptomics data to identify lncRNA regulation in all of samples, which could reveal the commonalities of lncRNA regulation in ASD, but ignore the specificity of lncRNA regulation across various cell types.

Results

Here, we present Cycle (Cell type-specific lncRNA regulatory network) to construct the landscape of cell type-specific lncRNA re

SUBMITTER: Xiong C 

PROVIDER: S-EPMC11430139 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature