Gene networks and systems biology in Alzheimer's disease: Insights from multi‐omics approaches

Author:

Rahimzadeh Negin1,Srinivasan Shushrruth Sai1,Zhang Jing2,Swarup Vivek34ORCID

Affiliation:

1. Mathematical, Computational, and Systems Biology (MCSB) Program University of California Irvine Irvine California USA

2. Department of Computer Science University of California Irvine California USA

3. Department of Neurobiology and Behavior University of California Irvine Irvine California USA

4. Institute for Memory Impairments and Neurological Disorders (MIND) University of California Irvine Irvine California USA

Abstract

AbstractDespite numerous studies in the field of dementia and Alzheimer's disease (AD), a comprehensive understanding of this devastating disease remains elusive. Bulk transcriptomics have provided insights into the underlying genetic factors at a high level. Subsequent technological advancements have focused on single‐cell omics, encompassing techniques such as single‐cell RNA sequencing and epigenomics, enabling the capture of RNA transcripts and chromatin states at a single cell or nucleus resolution. Furthermore, the emergence of spatial omics has allowed the study of gene responses in the vicinity of amyloid beta plaques or across various brain regions. With the vast amount of data generated, utilizing gene regulatory networks to comprehensively study this disease has become essential. This review delves into some techniques employed in the field of AD, explores the discoveries made using these techniques, and provides insights into the future of the field.

Publisher

Wiley

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