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mRNA与蛋白质水平的相关性:前列腺中簇分化抗原的细胞类型特异性基因表达

Correlation of mRNA and protein levels: cell type-specific gene expression of cluster designation antigens in the prostate.

作者信息

Pascal Laura E, True Lawrence D, Campbell David S, Deutsch Eric W, Risk Michael, Coleman Ilsa M, Eichner Lillian J, Nelson Peter S, Liu Alvin Y

机构信息

Department of Urology, University of Washington, Seattle WA 98195, USA.

出版信息

BMC Genomics. 2008 May 23;9:246. doi: 10.1186/1471-2164-9-246.

DOI:10.1186/1471-2164-9-246
PMID:18501003
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2413246/
Abstract

BACKGROUND

: Expression levels of mRNA and protein by cell types exhibit a range of correlations for different genes. In this study, we compared levels of mRNA abundance for several cluster designation (CD) genes determined by gene arrays using magnetic sorted and laser-capture microdissected human prostate cells with levels of expression of the respective CD proteins determined by immunohistochemical staining in the major cell types of the prostate - basal epithelial, luminal epithelial, stromal fibromuscular, and endothelial - and for prostate precursor/stem cells and prostate carcinoma cells. Immunohistochemical stains of prostate tissues from more than 50 patients were scored for informative CD antigen expression and compared with cell-type specific transcriptomes.

RESULTS

: Concordance between gene and protein expression findings based on 'present' vs. 'absent' calls ranged from 46 to 68%. Correlation of expression levels was poor to moderate (Pearson correlations ranged from 0 to 0.63). Divergence between the two data types was most frequently seen for genes whose array signals exceeded background (> 50) but lacked immunoreactivity by immunostaining. This could be due to multiple factors, e.g. low levels of protein expression, technological sensitivities, sample processing, probe set definition or anatomical origin of tissue and actual biological differences between transcript and protein abundance.

CONCLUSION

: Agreement between these two very different methodologies has great implications for their respective use in both molecular studies and clinical trials employing molecular biomarkers.

摘要

背景

不同基因在细胞类型中的mRNA和蛋白质表达水平呈现出一系列的相关性。在本研究中,我们比较了通过基因芯片测定的几种簇分化抗原(CD)基因在经磁性分选和激光捕获显微切割的人前列腺细胞中的mRNA丰度水平,以及通过免疫组织化学染色测定的前列腺主要细胞类型(基底上皮细胞、管腔上皮细胞、基质纤维肌细胞和内皮细胞)、前列腺前体/干细胞和前列腺癌细胞中相应CD蛋白的表达水平。对来自50多名患者的前列腺组织进行免疫组织化学染色,以评估信息丰富的CD抗原表达,并与细胞类型特异性转录组进行比较。

结果

基于“存在”与“不存在”判断的基因和蛋白质表达结果之间的一致性范围为46%至68%。表达水平的相关性较差至中等(Pearson相关性范围为0至0.63)。两种数据类型之间的差异最常见于那些阵列信号超过背景(>50)但免疫染色缺乏免疫反应性的基因。这可能是由于多种因素,例如蛋白质表达水平低、技术敏感性、样本处理、探针集定义或组织的解剖学来源以及转录本和蛋白质丰度之间的实际生物学差异。

结论

这两种截然不同的方法之间的一致性对于它们在分子研究和采用分子生物标志物的临床试验中的各自应用具有重大意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b2b/2413246/51797ae44f81/1471-2164-9-246-4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b2b/2413246/2782f405ee2a/1471-2164-9-246-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b2b/2413246/ef0c04e028ad/1471-2164-9-246-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b2b/2413246/2ab34faae268/1471-2164-9-246-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b2b/2413246/51797ae44f81/1471-2164-9-246-4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b2b/2413246/2782f405ee2a/1471-2164-9-246-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b2b/2413246/ef0c04e028ad/1471-2164-9-246-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b2b/2413246/2ab34faae268/1471-2164-9-246-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b2b/2413246/51797ae44f81/1471-2164-9-246-4.jpg

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2
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BMC Urol. 2007 Dec 11;7:19. doi: 10.1186/1471-2490-7-19.
3
AffyProbeMiner: a web resource for computing or retrieving accurately redefined Affymetrix probe sets.
从数字组织病理学图像预测非小细胞肺癌的肿瘤微环境组成和免疫治疗反应。
NPJ Precis Oncol. 2024 Dec 19;8(1):280. doi: 10.1038/s41698-024-00765-w.
4
The emerging role of disease-associated microglia in Parkinson's disease.疾病相关小胶质细胞在帕金森病中的新作用。
Front Cell Neurosci. 2024 Nov 5;18:1476461. doi: 10.3389/fncel.2024.1476461. eCollection 2024.
5
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J Biol Eng. 2024 Oct 29;18(1):61. doi: 10.1186/s13036-024-00457-w.
6
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iScience. 2024 Aug 7;27(9):110640. doi: 10.1016/j.isci.2024.110640. eCollection 2024 Sep 20.
7
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