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Identification of key gene modules and genes in colorectal cancer by weighted gene co-expression network analysis (WGCNA)

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643 days ago
Identification of key gene modules and genes in colorectal cancer by weighted gene co-expression network analysis (WGCNA) https://t.co/hdVHGFMVsx https://t.co/ItyybwWczV
Identification of key gene modules and genes in colorectal cancer by weighted gene co-expression network analysis (WGCNA) https://t.co/lSPR09ERp5
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Supplemental Information

Data for qRT-PCR results

qRT-PCR results were normalized to the expression of GAPDH. The 2-ΔΔCt method was used to calculate relative expression levels of CYTH1 in tissues. ΔCt = CtCYTH1 – CtGAPDH, ΔΔCt = ΔCtTumor –ΔCtControl. GraphPad Prism 6 software was used for graph construction. The Data is the last results for graph.

DOI: 10.7287/peerj.preprints.27667v1/supp-1

Additional Information

Competing Interests

We declare that there are no competing financial interests.

Author Contributions

Zheying Zhang performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, prepared figures and/or tables, authored or reviewed drafts of the paper, approved the final draft.

Na Li performed the experiments, analyzed the data.

Qingzu Gao analyzed the data.

Xinlai Qian conceived and designed the experiments, approved the final draft.

Data Deposition

The following information was supplied regarding data availability:

Datasets for WGCNA related to CRC were obtained from the NCBI Gene Expression Omnibus (GEO) (http://www.ncbi.nlm.nih.gov/geo) with accessing number GSE21510.

https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE21510

Funding

This work is supported by National Natural Science Foundation of China (grant no. 81802470) and the Xinxiang Medical College research funding (XYBSKYZZ201632). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.


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