High-Throughput Transcriptome Profiling in Drug and Biomarker Discovery
The development of new drugs is multidisciplinary and systematic work. High-throughput techniques based on “-omics” have driven the discovery of biomarkers in diseases and therapeutic targets of drugs. A transcriptome is the complete set of all RNAs transcribed by certain tissues or cells at a speci...
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doaj-f9a44a1ed3184d09810950f682b819042020-11-24T23:59:28ZengFrontiers Media S.A.Frontiers in Genetics1664-80212020-02-011110.3389/fgene.2020.00019505377High-Throughput Transcriptome Profiling in Drug and Biomarker DiscoveryXiaonan Yang0Ling Kui1Min Tang2Dawei Li3Dawei Li4Kunhua Wei5Kunhua Wei6Wei Chen7Wei Chen8Jianhua Miao9Jianhua Miao10Yang Dong11Yang Dong12Yang Dong13Guangxi Key Laboratory of Medicinal Resources Protection and Genetic Improvement, Guangxi Botanical Garden of Medicinal Plants, Nanning, ChinaDana-Farber Cancer Institute, Harvard Medical School, Brookline, MA, United StatesSchool of Life Sciences, Jiangsu University, Zhenjiang, ChinaCollege of Biological Big Data, Yunnan Agricultural University, Kunming, ChinaState Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, ChinaGuangxi Key Laboratory of Medicinal Resources Protection and Genetic Improvement, Guangxi Botanical Garden of Medicinal Plants, Nanning, ChinaSchool of Pharmacy, Guangxi Medical University, Nanning, ChinaCollege of Biological Big Data, Yunnan Agricultural University, Kunming, ChinaState Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, ChinaGuangxi Key Laboratory of Medicinal Resources Protection and Genetic Improvement, Guangxi Botanical Garden of Medicinal Plants, Nanning, ChinaSchool of Pharmacy, Guangxi Medical University, Nanning, ChinaGuangxi Key Laboratory of Medicinal Resources Protection and Genetic Improvement, Guangxi Botanical Garden of Medicinal Plants, Nanning, ChinaCollege of Biological Big Data, Yunnan Agricultural University, Kunming, ChinaState Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, ChinaThe development of new drugs is multidisciplinary and systematic work. High-throughput techniques based on “-omics” have driven the discovery of biomarkers in diseases and therapeutic targets of drugs. A transcriptome is the complete set of all RNAs transcribed by certain tissues or cells at a specific stage of development or physiological condition. Transcriptome research can demonstrate gene functions and structures from the whole level and reveal the molecular mechanism of specific biological processes in diseases. Currently, gene expression microarray and high-throughput RNA-sequencing have been widely used in biological, medical, clinical, and drug research. The former has been applied in drug screening and biomarker detection of drugs due to its high throughput, fast detection speed, simple analysis, and relatively low price. With the further development of detection technology and the improvement of analytical methods, the detection flux of RNA-seq is much higher but the price is lower, hence it has powerful advantages in detecting biomarkers and drug discovery. Compared with the traditional RNA-seq, scRNA-seq has higher accuracy and efficiency, especially the single-cell level of gene expression pattern analysis can provide more information for drug and biomarker discovery. Therefore, (sc)RNA-seq has broader application prospects, especially in the field of drug discovery. In this overview, we will review the application of these technologies in drug, especially in natural drug and biomarker discovery and development. Emerging applications of scRNA-seq and the third generation RNA-sequencing tools are also discussed.https://www.frontiersin.org/article/10.3389/fgene.2020.00019/fulltranscriptomegene expression microarrayRNA-seqnatural drug discoverybiomarker discovery |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xiaonan Yang Ling Kui Min Tang Dawei Li Dawei Li Kunhua Wei Kunhua Wei Wei Chen Wei Chen Jianhua Miao Jianhua Miao Yang Dong Yang Dong Yang Dong |
spellingShingle |
Xiaonan Yang Ling Kui Min Tang Dawei Li Dawei Li Kunhua Wei Kunhua Wei Wei Chen Wei Chen Jianhua Miao Jianhua Miao Yang Dong Yang Dong Yang Dong High-Throughput Transcriptome Profiling in Drug and Biomarker Discovery Frontiers in Genetics transcriptome gene expression microarray RNA-seq natural drug discovery biomarker discovery |
author_facet |
Xiaonan Yang Ling Kui Min Tang Dawei Li Dawei Li Kunhua Wei Kunhua Wei Wei Chen Wei Chen Jianhua Miao Jianhua Miao Yang Dong Yang Dong Yang Dong |
author_sort |
Xiaonan Yang |
title |
High-Throughput Transcriptome Profiling in Drug and Biomarker Discovery |
title_short |
High-Throughput Transcriptome Profiling in Drug and Biomarker Discovery |
title_full |
High-Throughput Transcriptome Profiling in Drug and Biomarker Discovery |
title_fullStr |
High-Throughput Transcriptome Profiling in Drug and Biomarker Discovery |
title_full_unstemmed |
High-Throughput Transcriptome Profiling in Drug and Biomarker Discovery |
title_sort |
high-throughput transcriptome profiling in drug and biomarker discovery |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Genetics |
issn |
1664-8021 |
publishDate |
2020-02-01 |
description |
The development of new drugs is multidisciplinary and systematic work. High-throughput techniques based on “-omics” have driven the discovery of biomarkers in diseases and therapeutic targets of drugs. A transcriptome is the complete set of all RNAs transcribed by certain tissues or cells at a specific stage of development or physiological condition. Transcriptome research can demonstrate gene functions and structures from the whole level and reveal the molecular mechanism of specific biological processes in diseases. Currently, gene expression microarray and high-throughput RNA-sequencing have been widely used in biological, medical, clinical, and drug research. The former has been applied in drug screening and biomarker detection of drugs due to its high throughput, fast detection speed, simple analysis, and relatively low price. With the further development of detection technology and the improvement of analytical methods, the detection flux of RNA-seq is much higher but the price is lower, hence it has powerful advantages in detecting biomarkers and drug discovery. Compared with the traditional RNA-seq, scRNA-seq has higher accuracy and efficiency, especially the single-cell level of gene expression pattern analysis can provide more information for drug and biomarker discovery. Therefore, (sc)RNA-seq has broader application prospects, especially in the field of drug discovery. In this overview, we will review the application of these technologies in drug, especially in natural drug and biomarker discovery and development. Emerging applications of scRNA-seq and the third generation RNA-sequencing tools are also discussed. |
topic |
transcriptome gene expression microarray RNA-seq natural drug discovery biomarker discovery |
url |
https://www.frontiersin.org/article/10.3389/fgene.2020.00019/full |
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