Literature DB >> 29155508

Microarray bioinformatics in cancer- a review.

Ziqi Tao1, Aimin Shi, Rui Li, Yiqiu Wang, Xin Wang, Jing Zhao.   

Abstract

Bioinformatics is one of the newest fields of biological research, and should be viewed broadly as the use of mathematical, statistical, and computational methods for the processing and analysis of biological data. Over the last decade, the rapid growth of information and technology in both "genomics" and "omics" eras has been overwhelming for the laboratory scientists to process experimental results. Traditional gene-by-gene approaches in research are insufficient to meet the growth and demand of biological research in understanding the true biology. The massive amounts of data generated by new technologies as genomic sequencing and microarray chips make the management of data and the integration of multiple platforms of high importance; this is then followed by data analysis and interpretation to achieve biological understanding and therapeutic progress. Global views of analyzing the magnitude of information are necessary and traditional approaches to lab work have steadily been changing towards a bioinformatics era. Research is moving from being restricted to a laboratory environment to working with computers in a "virtual lab" environment. The present review article shall put light on this emerging field and its applicability towards cancer research.

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Year:  2017        PMID: 29155508

Source DB:  PubMed          Journal:  J BUON        ISSN: 1107-0625            Impact factor:   2.533


  20 in total

Review 1.  Emerging micro-nanotechnologies for extracellular vesicles in immuno-oncology: from target specific isolations to immunomodulation.

Authors:  Nna-Emeka Onukwugha; Yoon-Tae Kang; Sunitha Nagrath
Journal:  Lab Chip       Date:  2022-09-13       Impact factor: 7.517

2.  Integrative Proteo-Genomic Analysis for Recurrent Survival Prognosis in Colon Adenocarcinoma.

Authors:  FeiYan Ai; Wenhao Wang; Shaojun Liu; Decai Zhang; Zhenyu Yang; Fen Liu
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3.  Turning up the heat on non-immunoreactive tumors: autophagy influences the immune microenvironment in pancreatic cancer.

Authors:  Si-Yuan Lu; Jie Hua; Jiang Liu; Miao-Yan Wei; Chen Liang; Qing-Cai Meng; Bo Zhang; Xian Jun Yu; Wei Wang; Jin Xu
Journal:  BMC Med Genomics       Date:  2022-10-19       Impact factor: 3.622

4.  Comprehensive analysis and identification of key genes and signaling pathways in the occurrence and metastasis of cutaneous melanoma.

Authors:  Hanying Dai; Lihuang Guo; Mingyue Lin; Zhenbo Cheng; Jiancheng Li; Jinxia Tang; Xisha Huan; Yue Huang; Keqian Xu
Journal:  PeerJ       Date:  2020-11-19       Impact factor: 2.984

5.  Identification of gene signatures and potential therapeutic targets for acquired chemotherapy resistance in gastric cancer patients.

Authors:  Jie Sun; Jingjing Zhao; Zhenkun Yang; Zhiyi Zhou; Peihua Lu
Journal:  J Gastrointest Oncol       Date:  2021-04

6.  COL1A1: A potential therapeutic target for colorectal cancer expressing wild-type or mutant KRAS.

Authors:  Zheying Zhang; Cheng Fang; Yongxia Wang; Jinghang Zhang; Jian Yu; Yongxi Zhang; Xianwei Wang; Jiateng Zhong
Journal:  Int J Oncol       Date:  2018-08-22       Impact factor: 5.650

7.  Identification of potential key genes and functional role of CENPF in osteosarcoma using bioinformatics and experimental analysis.

Authors:  Yihui Ma; Jiaping Guo; Da Li; Xianhua Cai
Journal:  Exp Ther Med       Date:  2021-11-25       Impact factor: 2.447

8.  High-Sensitivity Dual-Probe Detection of Urinary miR-141 in Cancer Patients via a Modified Screen-Printed Carbon Electrode-Based Electrochemical Biosensor.

Authors:  Wai-Hung Leung; Chi-Chia Pang; Sow-Neng Pang; Sheng-Xiang Weng; Yu-Lun Lin; Yueh-Er Chiou; See-Tong Pang; Wen-Hui Weng
Journal:  Sensors (Basel)       Date:  2021-05-03       Impact factor: 3.576

9.  Construction of a MicroRNA-mRNA Network Underlying Decidualized Endometriotic Cyst Stromal Cells Using Bioinformatics Analysis.

Authors:  Junzui Li; Bin Zhao; Cui Yang; Qionghua Chen
Journal:  Biomed Res Int       Date:  2020-08-19       Impact factor: 3.411

Review 10.  Making Sense of Genetic Information: The Promising Evolution of Clinical Stratification and Precision Oncology Using Machine Learning.

Authors:  Mahaly Baptiste; Sarah Shireen Moinuddeen; Courtney Lace Soliz; Hashimul Ehsan; Gen Kaneko
Journal:  Genes (Basel)       Date:  2021-05-12       Impact factor: 4.096

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