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. 2020 Jul 9;10:11404. doi: 10.1038/s41598-020-68223-8

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© The Author(s) 2020

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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Bioinformatic membranome analysis. (A) Experimental strategy and bioinformatic algorithm to identify putative membrane proteins in FACS-purified PW1⁺ cardiac cells. (B) PW1⁺ cell putative membranome: 2,113 and 2,284 sequences were identified in cells from sham and ischemic hearts, respectively. A total of 2,040 sequences were identified under both conditions. (C) Experimental strategy to validate the newly identified candidates specifically expressed in the plasma membrane of PW1⁺ cardiac cells. (D) Molecular function of the 378 PW1⁺ cell-specific membrane proteins. ER, endoplasmic reticulum, FACS, fluorescence-activated cell sorting.