Lixing Liu , Beiyuan Fan , Hongyu Yang , Deyong Chen , Shuang Zhang , Junbo Wang , Jian Chen
{"title":"一种用于计数单细胞β-肌动蛋白的新型微流控流式细胞术","authors":"Lixing Liu , Beiyuan Fan , Hongyu Yang , Deyong Chen , Shuang Zhang , Junbo Wang , Jian Chen","doi":"10.1016/j.npe.2020.06.001","DOIUrl":null,"url":null,"abstract":"<div><p>As a house keeping protein with stable expressions, β-actin is used as a loading control in normalization of western blotting. However, the actual numbers of β-actins at the single-cell level remain elusive. Based on a home-developed flow cytometry, single-cell numbers of β-actin from 8 cell types (subtypes) and 2 tumour patient samples were quantified as 9.62 ± 4.29 × 10<sup>5</sup> (A549, <em>N</em><sub>cell</sub> = 14,242), 6.46 ± 3.34 × 10<sup>5</sup> (Hep G2, <em>N</em><sub>cell</sub> = 35,932), 1.58 ± 0.90 × 10<sup>6</sup> (MCF 10A, <em>N</em><sub>cell</sub> = 16,650), 1.08 ± 0.48 × 10<sup>6</sup> (HeLa, <em>N</em><sub>cell</sub> = 26,151), 7.60 ± 4.34 × 10<sup>5</sup> (PC3, <em>N</em><sub>cell</sub> = 11,922), 1.10 ± 0.72 × 10<sup>6</sup> (SACC-83, <em>N</em><sub>cell</sub> = 13,616), 8.58 ± 4.54 × 10<sup>5</sup> (CAL 27, <em>N</em><sub>cell</sub> = 7271), 9.00 ± 4.69 × 10<sup>5</sup> (CAL 27-LN2, <em>N</em><sub>cell</sub> = 6222), 8.26 ± 4.48 × 10<sup>5</sup> (Oral Tumour Patient I, <em>N</em><sub>cell</sub> = 359), and 8.19 ± 5.12 × 10<sup>5</sup> (Oral Tumour Patient II, <em>N</em><sub>cell</sub> = 175), and were analyzed by statistical approaches including one-way analysis of variance, neural network based pattern recognition and Bayesian estimation, with varied expressions of β-actins among different cell types located. The dataset reported in this study may serve as a reference in future studies of quantitative protein analysis.</p></div>","PeriodicalId":87330,"journal":{"name":"Nanotechnology and Precision Engineering","volume":"3 3","pages":"Pages 156-161"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.npe.2020.06.001","citationCount":"1","resultStr":"{\"title\":\"A novel microfluidic flow-cytometry for counting numbers of single-cell β-actins\",\"authors\":\"Lixing Liu , Beiyuan Fan , Hongyu Yang , Deyong Chen , Shuang Zhang , Junbo Wang , Jian Chen\",\"doi\":\"10.1016/j.npe.2020.06.001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>As a house keeping protein with stable expressions, β-actin is used as a loading control in normalization of western blotting. However, the actual numbers of β-actins at the single-cell level remain elusive. Based on a home-developed flow cytometry, single-cell numbers of β-actin from 8 cell types (subtypes) and 2 tumour patient samples were quantified as 9.62 ± 4.29 × 10<sup>5</sup> (A549, <em>N</em><sub>cell</sub> = 14,242), 6.46 ± 3.34 × 10<sup>5</sup> (Hep G2, <em>N</em><sub>cell</sub> = 35,932), 1.58 ± 0.90 × 10<sup>6</sup> (MCF 10A, <em>N</em><sub>cell</sub> = 16,650), 1.08 ± 0.48 × 10<sup>6</sup> (HeLa, <em>N</em><sub>cell</sub> = 26,151), 7.60 ± 4.34 × 10<sup>5</sup> (PC3, <em>N</em><sub>cell</sub> = 11,922), 1.10 ± 0.72 × 10<sup>6</sup> (SACC-83, <em>N</em><sub>cell</sub> = 13,616), 8.58 ± 4.54 × 10<sup>5</sup> (CAL 27, <em>N</em><sub>cell</sub> = 7271), 9.00 ± 4.69 × 10<sup>5</sup> (CAL 27-LN2, <em>N</em><sub>cell</sub> = 6222), 8.26 ± 4.48 × 10<sup>5</sup> (Oral Tumour Patient I, <em>N</em><sub>cell</sub> = 359), and 8.19 ± 5.12 × 10<sup>5</sup> (Oral Tumour Patient II, <em>N</em><sub>cell</sub> = 175), and were analyzed by statistical approaches including one-way analysis of variance, neural network based pattern recognition and Bayesian estimation, with varied expressions of β-actins among different cell types located. The dataset reported in this study may serve as a reference in future studies of quantitative protein analysis.</p></div>\",\"PeriodicalId\":87330,\"journal\":{\"name\":\"Nanotechnology and Precision Engineering\",\"volume\":\"3 3\",\"pages\":\"Pages 156-161\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.npe.2020.06.001\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nanotechnology and Precision Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2589554020300222\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nanotechnology and Precision Engineering","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2589554020300222","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A novel microfluidic flow-cytometry for counting numbers of single-cell β-actins
As a house keeping protein with stable expressions, β-actin is used as a loading control in normalization of western blotting. However, the actual numbers of β-actins at the single-cell level remain elusive. Based on a home-developed flow cytometry, single-cell numbers of β-actin from 8 cell types (subtypes) and 2 tumour patient samples were quantified as 9.62 ± 4.29 × 105 (A549, Ncell = 14,242), 6.46 ± 3.34 × 105 (Hep G2, Ncell = 35,932), 1.58 ± 0.90 × 106 (MCF 10A, Ncell = 16,650), 1.08 ± 0.48 × 106 (HeLa, Ncell = 26,151), 7.60 ± 4.34 × 105 (PC3, Ncell = 11,922), 1.10 ± 0.72 × 106 (SACC-83, Ncell = 13,616), 8.58 ± 4.54 × 105 (CAL 27, Ncell = 7271), 9.00 ± 4.69 × 105 (CAL 27-LN2, Ncell = 6222), 8.26 ± 4.48 × 105 (Oral Tumour Patient I, Ncell = 359), and 8.19 ± 5.12 × 105 (Oral Tumour Patient II, Ncell = 175), and were analyzed by statistical approaches including one-way analysis of variance, neural network based pattern recognition and Bayesian estimation, with varied expressions of β-actins among different cell types located. The dataset reported in this study may serve as a reference in future studies of quantitative protein analysis.