Parse Biosciences - Scalable Single Cell Sequencing
On-Demand Webinar

Single-cell Transcriptomic Landscape in Alzheimer's Disease

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The gene-regulatory landscape of the brain is highly dynamic in health and disease, coordinating a menagerie of biological processes across distinct cell types. Understanding these regulatory programs requires a holistic experimental and analytical approach. Here, we present a single-cell study of 380,000 nuclei in late-stage Alzheimer’s Disease (AD) using parse biosciences whole transcriptome kit, profiling gene expression in thousands of genes and uncovering vast neuronal and glial heterogeneity in late-stage AD.

We introduce a co-expression network analysis strategy for single-cell data (hd-WGCNA) to perform a systems-level meta-analysis of AD transcriptomics to uncover underlying regulatory architecture. hd-WGCNA is based on a meta-analytical approach to jointly form co-expression networks in metacells constructed from the integrated snRNA-seq dataset as well as bulk-tissue RNA-seq data of the human cortex, where each edge in a co-expressed module is supported by both bulk RNA-seq data and snRNA-seq data. Finally, this work provides an unbiased single-cell atlas of transcriptomic regulation of AD in distinct brain regions.


Dr. Vivek Swarup

Dr. Vivek Swarup

Institute for Memory Impairments and Neurological Disorders
Department of Neurobiology and Behavior
University of California, Irvine
Assistant Professor