Colorectal cancer is a kind of malignant tumor, which results from life habits and genetic factors. This research project is called "Using NGS Technology for Transcriptome Comparison of Normal and Tumor Tissues in Colorectal Cancer Patients", which belongs to basic research. Next-generation sequencing technology (NGS), also known as high-throughput sequencing technology, can comprehensively obtain whole genome and transcriptome information of cells and tissues through experimental operations including DNA or RNA extraction, purification, library construction, and bioinformatics analysis; in this way, NGS can screen the mutation and abnormal expression of tumor genes and provide relatively accurate therapeutic targets as the guidance of medication. In this study, the transcriptome of five pairs of tumor tissue samples (t: tumor) and normal tissue samples (n: normal) from five patients with colorectal cancer were compared by NGS: the total RNA from those tissues were extracted to construct mRNA library, from which cancer-related transcriptome information was obtained through NGS-based RNA-seq technology and bioinformatics analysis, which may guide clinical research and treatment. The RNA-seq data of transcriptome information from the colorectal cancer patients reflected variably expressed pattern in the comparison of CRCs/normal tissue pairs; two notable targets, COL1A1 and SPP1, were consistent with two other previous researches and matched pathways enrichment with one of them.
Published in | Science Discovery (Volume 7, Issue 2) |
DOI | 10.11648/j.sd.20190702.12 |
Page(s) | 65-71 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2019. Published by Science Publishing Group |
NGS RNA-Seq Technology, Transcriptome Comparison, Bioinformatics Analysis, Colorectal Cancer
[1] | Ferlay, J., Soerjomataram, I. et al. (2013). GLOBOCAN 2012 v1.0, Cancer Incidence and Mortality Worldwide: IARC CancerBase. No. 11. Retrieved 2nd September, 2018 from https: //doi.org/10.1016/j.ucl.2013.01.011. |
[2] | Van Blarigan EL., Meyerhardt JA. “Role of physical activity and diet after colorectal cancer diagnosis.” J Clin Oncol. 2015; 16: 1825–34. |
[3] | Sanger F. et al. “DNA sequencing with chain-terminating inhibitors.” Proc. Natl. Acad. Sci. U. S. A. 1977; 74: 5463-5467. |
[4] | Guan YF., Li GR. et al. “Application of next generations sequencing in clinical oncology to advance personalized treatment of cancer.” Chin J Cancer. 2012; 31 (10): 463–70. |
[5] | Sultan M., Schulz MH. et al. “A global view of gene activity and alternative splicing by deep sequencing of the human transcriptome.” Science. 2008; 321: 956–60. |
[6] | Ju YS., Kim JI. et al. “Extensive genomic and transcriptional diversity identified through massively parallel DNA and RNA sequencing of eighteen Korean individuals.” Nat Genet.2011; 43: 745–52. |
[7] | Fu Y., Sun Y. et al. “Differential genome-wide profiling of tandem 3′UTRs among human breast cancer and normal cells by high-throughput sequencing.” Genome Res. 2011; 21: 741–7. |
[8] | Kim T., Moon JH. et al. “Next-generation sequencing based post-transplant monitoring of acute myeloid leukemia.” Blood. 2018 Aug 14. pii: blood-2018-04-848028. |
[9] | Yadav S. S., Li J. et al. “Next-generation sequencing technology in prostate cancer diagnosis, prognosis, and personalized treatment.” Urologic Oncology: Seminars and Original Investigations, (2015) 33 (6), pp. 267.e1-267.e13. |
[10] | Li MY., Sun QR. et al.“Transcriptional Landscape of Human Cancers.” Oncotarget 8.21 (2017): 34534–34551. PMC. Web. 12 Sept. 2018. |
[11] | Vogelstein B., Fearon ER. et al. “Genetic alterations during colorectal tumor development.” N Engl J Med. 1988; 319:525–32 |
[12] | Liu Z. et al. “The Landscape of Somatic Mutation in Sporadic Chinese Colorectal Cancer.” Oncotarget 9.44 (2018): 27412–27422. PMC. Web. 12 Sept. 2018. |
[13] | Seshagiri S., Stawiski EW. et al. “Recurrent R-spondin fusions in colon cancer.” Nature. 2012; 488 (7413):660–4. |
[14] | Wu Y., Wang X. et al. “Transcriptome profiling of the cancer, adjacent non-tumor and distant normal tissues from a colorectal cancer patient by deep sequencing.” PLoS ONE. 2012; 7(8):e41001. Retrieved from 2nd September, 2018 from https: //doi.org/10.1371/journal.pone.0041001. |
[15] | Slattery ML., Herrick JS. et al. “Improved survival among colon cancer patients with increased differentially expressed pathways.” BMC Med. 2015; 13: 75. |
[16] | Li M., Zhao LM. et al. “Differentially expressed lncRNAs and mRNAs identified by NGS analysis in colorectal cancer patients.” Cancer Med. 2018 Jul 23. doi: 10.1002/cam4.1696. |
APA Style
Chen Chumo. (2019). Using NGS Technology for Transcriptome Comparison of Normal and Tumor Tissues in Colorectal Cancer Patients. Science Discovery, 7(2), 65-71. https://doi.org/10.11648/j.sd.20190702.12
ACS Style
Chen Chumo. Using NGS Technology for Transcriptome Comparison of Normal and Tumor Tissues in Colorectal Cancer Patients. Sci. Discov. 2019, 7(2), 65-71. doi: 10.11648/j.sd.20190702.12
AMA Style
Chen Chumo. Using NGS Technology for Transcriptome Comparison of Normal and Tumor Tissues in Colorectal Cancer Patients. Sci Discov. 2019;7(2):65-71. doi: 10.11648/j.sd.20190702.12
@article{10.11648/j.sd.20190702.12, author = {Chen Chumo}, title = {Using NGS Technology for Transcriptome Comparison of Normal and Tumor Tissues in Colorectal Cancer Patients}, journal = {Science Discovery}, volume = {7}, number = {2}, pages = {65-71}, doi = {10.11648/j.sd.20190702.12}, url = {https://doi.org/10.11648/j.sd.20190702.12}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20190702.12}, abstract = {Colorectal cancer is a kind of malignant tumor, which results from life habits and genetic factors. This research project is called "Using NGS Technology for Transcriptome Comparison of Normal and Tumor Tissues in Colorectal Cancer Patients", which belongs to basic research. Next-generation sequencing technology (NGS), also known as high-throughput sequencing technology, can comprehensively obtain whole genome and transcriptome information of cells and tissues through experimental operations including DNA or RNA extraction, purification, library construction, and bioinformatics analysis; in this way, NGS can screen the mutation and abnormal expression of tumor genes and provide relatively accurate therapeutic targets as the guidance of medication. In this study, the transcriptome of five pairs of tumor tissue samples (t: tumor) and normal tissue samples (n: normal) from five patients with colorectal cancer were compared by NGS: the total RNA from those tissues were extracted to construct mRNA library, from which cancer-related transcriptome information was obtained through NGS-based RNA-seq technology and bioinformatics analysis, which may guide clinical research and treatment. The RNA-seq data of transcriptome information from the colorectal cancer patients reflected variably expressed pattern in the comparison of CRCs/normal tissue pairs; two notable targets, COL1A1 and SPP1, were consistent with two other previous researches and matched pathways enrichment with one of them.}, year = {2019} }
TY - JOUR T1 - Using NGS Technology for Transcriptome Comparison of Normal and Tumor Tissues in Colorectal Cancer Patients AU - Chen Chumo Y1 - 2019/05/23 PY - 2019 N1 - https://doi.org/10.11648/j.sd.20190702.12 DO - 10.11648/j.sd.20190702.12 T2 - Science Discovery JF - Science Discovery JO - Science Discovery SP - 65 EP - 71 PB - Science Publishing Group SN - 2331-0650 UR - https://doi.org/10.11648/j.sd.20190702.12 AB - Colorectal cancer is a kind of malignant tumor, which results from life habits and genetic factors. This research project is called "Using NGS Technology for Transcriptome Comparison of Normal and Tumor Tissues in Colorectal Cancer Patients", which belongs to basic research. Next-generation sequencing technology (NGS), also known as high-throughput sequencing technology, can comprehensively obtain whole genome and transcriptome information of cells and tissues through experimental operations including DNA or RNA extraction, purification, library construction, and bioinformatics analysis; in this way, NGS can screen the mutation and abnormal expression of tumor genes and provide relatively accurate therapeutic targets as the guidance of medication. In this study, the transcriptome of five pairs of tumor tissue samples (t: tumor) and normal tissue samples (n: normal) from five patients with colorectal cancer were compared by NGS: the total RNA from those tissues were extracted to construct mRNA library, from which cancer-related transcriptome information was obtained through NGS-based RNA-seq technology and bioinformatics analysis, which may guide clinical research and treatment. The RNA-seq data of transcriptome information from the colorectal cancer patients reflected variably expressed pattern in the comparison of CRCs/normal tissue pairs; two notable targets, COL1A1 and SPP1, were consistent with two other previous researches and matched pathways enrichment with one of them. VL - 7 IS - 2 ER -