Article

A novel bioinformatics approach to reveal the role of circadian oscillations in AD development

2020-07-17

Abstract excerpt

Altered circadian gene expression may contribute to Alzheimer’s disease (AD) progression. Unfortunately, sampling the central nervous system (CNS) at multiple time points is not feasible. Moreover, there are no AD-related time-series transcriptome datasets available for studying these circadian patterns and their impacts on AD development. In this study, we introduce a novel computational platform, Event-driven Sa...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: cd8f7bfd-c497-5b78-b05f-4b815e39c2e6
DOI: 10.1101/2020.07.16.207357

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A novel bioinformatics approach to reveal the role of circadian oscillations in AD developmentDOI 10.1101/2020.07.16.207357Read

Combined analysis of single-cell and bulk RNA sequencing reveals the expression patterns of circadian rhythm disruption in the immune microenvironment of Alzheimer’s diseaseSemantic proximity Read

Spatial transcriptomics reveals brain-wide circadian disruption in an Alzheimer’s disease modelSemantic proximity Read

Local clocks within human tissues reveal widespread 24-hour rhythms in gene expressionSemantic proximity Read

Reconstructed Cell-Type Specific Rhythms in Human Brain link Alzheimer’s Pathology, Circadian Stress, and Ribosomal DisruptionSemantic proximity Read

Bioinformatics Integrative Analysis of Circadian Rhythms Effects on Atopic Dermatitis and Dendritic CellsSemantic proximity Read

Machine learning identifies a compact gene set for monitoring the circadian clock in human bloodSemantic proximity Read

A database of tissue-specific rhythmically expressed human genes has potential applications in circadian medicineSemantic proximity Read

Likelihood-based Tests for Detecting Circadian Rhythmicity and Differential Circadian Patterns in Transcriptomic ApplicationsSemantic proximity Read

A population-based human enCYCLOPedia for circadian medicineSemantic proximity Read

Time series-free rhythm profiling using COFE reveals multi-omic circadian rhythms in in-vivo human cancersSemantic proximity Read

Evaluating Circadian Dysfunction in Mouse Models of Alzheimer’s Disease: Where Do We Stand?Semantic proximity Read

Monitoring the circadian clock in human blood using personalized machine learningSemantic proximity Read