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论文信息
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质疑信息
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作者Nu Zhang回应:感谢您对我们论文中数字问题的善意提醒。这些重复并不是故意的。当我们回看原始数据时,才发现我们在拼图时贴错了图片。不过,由于出版方的原因,我们在论文定稿时同时将源数据上传到了《Nature Cell Biology 》。正确的 Ext. 图 5f 如下所示,您也可以从 Nature cell biology 网站下载。在修改过程中,由于时间紧迫,最终版本没有经过其他作者的充分审阅,敬请谅解。我们再次对错误表示诚挚的歉意。
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Also, one more question, why the numbers in cohort 3, between the C-E-Cad high group and C-E-Cad low group, were inconsistent between the left and right survival plots, as follows:
25 vs 20? or 30 vs 15?
在 TCGA 数据库中,E-cad 在肿瘤组织中略有上调,但在作者自己的标本中却有非常明显的下降,这只是为了突出 C-E-Cad 的作用,而这是作者在本文中新报道的。
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The author then used TCGA database to verify the survival analysis of E-cad in GBM in the subsequent Fig. 2F, but the author deliberately avoided the comparison results of E-cad expression between GBM and normal tissues by the TCGA database, only used their own samples for comparison.
In TCGA database, E-cad was slightly up-regulated in tumor tissues, but it did decrease very significantly in the author's own specimens, just to highlight the effect of C-E-Cad? which was newly reported by the authors in this paper
Thanks for your relpy. I have noticed that cohort 3 and CGGA samples were independent cohorts. Then, the CGGA database marked in red included the middle and the right panels?
As for your analysis based on the CGGA data, I have also accessed to the database, however, I could not repeat your results, whether for the primary or the recurrent, or in different stages. Kindly upload your analysis process?
Could the authors specify which data you used for analysis, in CGGA database?
link for CGGA database: http://www.cgga.org.cn/index.jsp
Of note was the observation that in your paper, the Extended Figure 2G, The patient number of E-Cad high group was 54, E-Cad low group was 53. 54+53=97
The problem is the number of 97, which is the corresponding dataset in CGGA database?
Of note was the observation that in your paper, the Extended Figure 2G, The patient number of E-Cad high group was 54, E-Cad low group was 53. 54+53=107
The problem is the number of 107, which is the corresponding dataset in CGGA database?
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Finally, I have found that the authors used the mRNA_array_301 dataset, the WHO IV glioma, to demonstrated the Extended Figure 2G, as follows:
Still, why not use the result from mRNAseq_325?
Please be noted that in mRNAseq_325 dataset there was a significantly better survival result in E-Cad high group as compared with low group, P = 0.05.
The authors should explain the difference between the results from mRMA micro-array and mRNA sequence, based on the CGGA database for E-Cad expression, in GBM, i.e., in WHO IV Grade Glioma.
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作者Shi-Yuan Cheng回应:感谢您在本网站上发布的重复电子邮件、评论和作者的回复。我现在知道这些对与此联合出版物相关的数据的评论。我仔细查看了第一作者和最后一位资深作者对所发表评论的回复。我相信这些回复令人满意地解决了每条评论,发布评论的人或您办公室的编辑应该发布您的回复,要么您接受这些回复,要么您有其他评论要发表。此外,请不要在一分钟内向我发送多封电子邮件,例如五封电子邮件。这不是专业的行为!
另一方面,所有的实验和生物信息学分析都是在中国广州的张博士实验室进行的。作为共同高级作者,我帮助重新组织、重新分析了本研究中提供的大部分数据和图表,进行了多次修改和编辑,在整个提交过程中与张博士一起审查和讨论了所有结果和数据。因此,如果您对本文中的数字和数据有任何其他意见或疑虑,请将您对本文中的数字和数据的意见/问题直接发送给第一作者和张博士。
What's more, when I looked at the annotation of Extended Data Fig. 5, I found that there was even no annotation of the panel F.
In the uploaded original source data (right), the WB bands for PARP have turned into Caspase3 in the Extended Figure 5D, the WB bands for Caspase3 have turned into PARP.
When enlarged:
I’ve discovered even more pictures that are unexpectedly similar, including instances where the same mouse was slightly repositioned and photographed at different intensities, as well as immunofluorescence images where the field of view was slightly shifted and the images were stretched.
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