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. 2021 Jul 15;11:14516. doi: 10.1038/s41598-021-93893-3

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© The Author(s) 2021

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Data enrichment analysis of differential proteins according to molecular function and biological process using Gene Ontology. (a) Gene Ontology enrichment of differential antigens according to biological process (red) and molecular function (green). Y-axis: name of the enrichment GO term, X-axis: transformed P-values (−log₁₀) (threshold: 0.05). Left panel: ATB-vs-LTBI, right panel: ATB-vs-HC. (b) Network analysis of differential proteins. The protein–protein interaction networks of differential proteins were analyzed by STRING, and the network was visualized using Cytoscape. The minimum required interaction score was set as the highest confidence (0.400) and the disconnected nodes in the network were hidden. Node size: the degree of difference (the larger the circle, the greater the ratio of ATB/HC or ATB/LTBI). Dashed line: interaction score < 0.7, solid line interaction score > 0.7. Left panel: ATB-vs-LTBI, right panel: ATB-vs-HC.