检索:GAPDH 表达升高与肺癌和食管鳞状细胞癌的增殖和侵袭有关。

IF 3.4 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Proteomics Pub Date : 2024-08-15 DOI:10.1002/pmic.202470125
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引用次数: 0

摘要

Hao, L., Zhou, X., Liu, S., Sun, M., Song, Y., Du, S., Sun, B., Guo, C., Gong, L., Hu, J., Guan, H., Shao, S. (2015).GAPDH 表达升高与肺癌和食管鳞状细胞癌的增殖和侵袭有关,蛋白质组学,15(17), 3087-3100。https://doi.org/10.1002/pmic.201400577 上述文章于 2015 年 5 月 6 日在线发表于 Wiley Online Library (wileyonlinelibrary.com),经期刊主编 Lucie Kalvodova 和 Wiley-VCH GmbH, Weinheim 同意,上述文章及相应更正 (https://doi.org/10.1002/pmic.202070084; 2020 年 5 月 25 日发表) 已被撤回。撤稿是在作者提出疑虑之后达成的;两幅图中使用了相同的shVector面板,这表明不同的实验使用了相同的对照数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
RETRACTION: Elevated GAPDH expression is associated with the proliferation and invasion of lung and esophageal squamous cell carcinomas

Hao, L., Zhou, X., Liu, S., Sun, M., Song, Y., Du, S., Sun, B., Guo, C., Gong, L., Hu, J., Guan, H., Shao, S. (2015). Elevated GAPDH expression is associated with the proliferation and invasion of lung and esophageal squamous cell carcinomas, Proteomics, 15(17), 3087–3100. https://doi.org/10.1002/pmic.201400577

The above article, published online on May 6, 2015 in Wiley Online Library (wileyonlinelibrary.com), and a corresponding correction (https://doi.org/10.1002/pmic.202070084; published May 25, 2020) have been retracted by agreement between the journal Editor-in-Chief, Lucie Kalvodova; and Wiley-VCH GmbH, Weinheim. The retraction has been agreed following concerns raised by the authors; the same shVector panel was used in two of the figures, suggesting the same control data was used for different experiments.

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来源期刊
Proteomics
Proteomics 生物-生化研究方法
CiteScore
6.30
自引率
5.90%
发文量
193
审稿时长
3 months
期刊介绍: PROTEOMICS is the premier international source for information on all aspects of applications and technologies, including software, in proteomics and other "omics". The journal includes but is not limited to proteomics, genomics, transcriptomics, metabolomics and lipidomics, and systems biology approaches. Papers describing novel applications of proteomics and integration of multi-omics data and approaches are especially welcome.
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