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. 2017 Oct 24;10:168. doi: 10.1186/s13045-017-0526-8

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© The Author(s). 2017

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Fig. 1 — Flow chart of database mining strategy and two parts of data organization. Part1: shows the database mining strategy utilized to generate tissue nuclear receptor expression profile. Part 2: the strategy utilized to measure nuclear receptor expression in human and mouse metabolic diseases. Parts 3 and 4: shows the strategy that is used to analyze the microarray data sets and identifying nuclear receptors as homeostasis-associated molecular pattern receptors (HAMPRs)