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Nitecap:一款探索性昼夜节律分析网络应用程序。

Nitecap: An Exploratory Circadian Analysis Web Application.

机构信息

Institute for Translational Medicine and Therapeutics, University of Pennsylvania, Philadelphia, Pennsylvania.

Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, Pennsylvania.

出版信息

J Biol Rhythms. 2022 Feb;37(1):43-52. doi: 10.1177/07487304211054408. Epub 2021 Nov 2.

DOI:10.1177/07487304211054408
PMID:34724846
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9003665/
Abstract

Circadian omics analyses present investigators with large amounts of data to consider and many choices for methods of analysis. Visualization is crucial as rhythmicity can take many forms and -values offer an incomplete picture. Yet statically viewing the entirety of high-throughput datasets is impractical, and there is often limited ability to assess the impact of choices, such as significance threshold cutoffs. Nitecap provides an intuitive and unified web-based solution to these problems. Through highly responsive visualizations, Nitecap enables investigators to see dataset-wide behavior. It supports deep analyses, including comparisons of two conditions. Moreover, it focuses upon ease-of-use and enables collaboration through dataset sharing. As an application, we investigated cross talk between peripheral clocks in adipose and liver tissues and determined that adipocyte clock disruption does not substantially modulate the transcriptional rhythmicity of liver but does advance the phase of core clock gene Bmal1 (Arntl) expression in the liver. Nitecap is available at nitecap.org and is free-to-use.

摘要

生物钟组学分析为研究人员提供了大量需要考虑的数据,以及许多分析方法的选择。可视化是至关重要的,因为节律性可能有多种形式,而 - 值提供的只是不完整的画面。然而,静态地查看整个高通量数据集是不切实际的,而且通常很难评估选择的影响,例如显著阈值截止值。Nitecap 为这些问题提供了一个直观和统一的基于网络的解决方案。通过高度响应的可视化,Nitecap 使研究人员能够看到数据集范围的行为。它支持深入分析,包括两种条件的比较。此外,它专注于易用性,并通过数据集共享实现协作。作为一个应用程序,我们研究了脂肪组织和肝脏中的外周时钟之间的串扰,并确定脂肪细胞时钟的破坏并没有实质性地调节肝脏的转录节律性,但确实会提前肝脏中核心时钟基因 Bmal1(Arntl)表达的相位。Nitecap 可在 nitecap.org 上获得,并且可以免费使用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d942/9003765/18076e8b04ac/10.1177_07487304211054408-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d942/9003765/0a633805fcd9/10.1177_07487304211054408-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d942/9003765/3c9cada555b0/10.1177_07487304211054408-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d942/9003765/ab59479a8e31/10.1177_07487304211054408-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d942/9003765/18076e8b04ac/10.1177_07487304211054408-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d942/9003765/0a633805fcd9/10.1177_07487304211054408-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d942/9003765/3c9cada555b0/10.1177_07487304211054408-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d942/9003765/ab59479a8e31/10.1177_07487304211054408-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d942/9003765/18076e8b04ac/10.1177_07487304211054408-fig4.jpg

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