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. 2022 Dec 30;15:273. doi: 10.1186/s12920-022-01429-z

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© The Author(s) 2022

Open AccessThis 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/. 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 in a credit line to the data.

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Fig. 8 — The consensus clustering analysis of DEGs between both m6A isoforms. A Consensus clustering analysis separates osteoarthritis patient samples into two genotypes; B Heatmap showing differential expression of these 302 genes in two genotypes; C Histograms showing differential expression of 9 key m6A regulators between two gene isoforms; D Histograms displaying differences in the immune infiltration between both genotypes; E Differences of the m6A scores of both m6A subtypes; F Differences in m6A scores of the two gene subtypes. *p < 0.05, **p < 0.01, and ***p < 0.001