ChemInform Abstract: High Throughput Gene Expression Screening: Its Emerging Role in Drug Discovery

ChemInform ◽  
2010 ◽  
Vol 31 (29) ◽  
pp. no-no
Author(s):  
Tom Freeman
Keyword(s):  
Gene Expression ◽  
Drug Discovery ◽  
High Throughput ◽  
Expression Screening ◽  
High Throughput Gene Expression

scholarly journals MICROMAX™ microarray system I: a complete system for high throughput gene expression analysis and drug discovery

10.1038/14340 ◽  
1999 ◽  
Vol 23 (S3) ◽  
pp. 55-55
Author(s):  
Anis H. Khimani ◽  
Carlo Colantuoni ◽  
Jonathan Pevsner ◽  
Russell K. Garlick ◽  
Jeffrey B. Killian
Keyword(s):  
Gene Expression ◽  
Drug Discovery ◽  
Expression Analysis ◽  
High Throughput ◽  
Gene Expression Analysis ◽  
Complete System ◽  
High Throughput Gene Expression

Co-expressional conservation in virulence and stress related genes of three Gammaproteobacterial species: Escherichia coli, Salmonella enterica and Pseudomonas aeruginosa

2015 ◽  
Vol 11 (11) ◽  
pp. 3137-3148
Author(s):  
Nazanin Hosseinkhan ◽  
Peyman Zarrineh ◽  
Hassan Rokni-Zadeh ◽  
Mohammad Reza Ashouri ◽  
Ali Masoudi-Nejad
Keyword(s):  
Gene Expression ◽  
Escherichia Coli ◽  
Pseudomonas Aeruginosa ◽  
Systems Biology ◽  
Gene Expression Data ◽  
High Throughput ◽  
Expression Data ◽  
P Gene ◽  
Stress Related Genes ◽  
High Throughput Gene Expression

Gene co-expression analysis is one of the main aspects of systems biology that uses high-throughput gene expression data.

scholarly journals BBCancer: an expression atlas of blood-based biomarkers in the early diagnosis of cancers

2019 ◽  
Author(s):  
Zhixiang Zuo ◽  
Huanjing Hu ◽  
Qingxian Xu ◽  
Xiaotong Luo ◽  
Di Peng ◽  
...  
Keyword(s):  
Gene Expression ◽  
Early Detection ◽  
Cancer Patients ◽  
High Throughput ◽  
Early Detection Of Cancer ◽  
Circular Rnas ◽  
Expression Data ◽  
Blood Samples ◽  
Cancer Types ◽  
High Throughput Gene Expression

Abstract The early detection of cancer holds the key to combat and control the increasing global burden of cancer morbidity and mortality. Blood-based screenings using circulating DNAs (ctDNAs), circulating RNA (ctRNAs), circulating tumor cells (CTCs) and extracellular vesicles (EVs) have shown promising prospects in the early detection of cancer. Recent high-throughput gene expression profiling of blood samples from cancer patients has provided a valuable resource for developing new biomarkers for the early detection of cancer. However, a well-organized online repository for these blood-based high-throughput gene expression data is still not available. Here, we present BBCancer (http://bbcancer.renlab.org/), a web-accessible and comprehensive open resource for providing the expression landscape of six types of RNAs, including messenger RNAs (mRNAs), long noncoding RNAs (lncRNAs), microRNAs (miRNAs), circular RNAs (circRNAs), tRNA-derived fragments (tRFRNAs) and Piwi-interacting RNAs (piRNAs) in blood samples, including plasma, CTCs and EVs, from cancer patients with various cancer types. Currently, BBCancer contains expression data of the six RNA types from 5040 normal and tumor blood samples across 15 cancer types. We believe this database will serve as a powerful platform for developing blood biomarkers.

Leveraging Automation toward Development of a High-Throughput Gene Expression Profiling Platform

2020 ◽  
pp. 247255522095659
Author(s):  
Jing Chen ◽  
Alan Futran ◽  
Austin Crithary ◽  
Sha Li ◽  
Alex Wolicki ◽  
...  
Keyword(s):  
Gene Expression ◽  
Drug Discovery ◽  
High Throughput ◽  
Screening Strategy ◽  
Qrt Pcr ◽  
Reverse Transcription Pcr ◽  
Expression Platform ◽  
Program Support ◽  
Drug Discovery Program ◽  
One Step

We previously developed a panel of one-step real-time quantitative reverse transcription PCR (one-step qRT-PCR; hereafter referred to as qRT-PCR) assays to assess compound efficacy. However, these high-cost, conventional qRT-PCR manual assays are not amenable to high-throughput screen (HTS) analysis in a time-sensitive and complex drug discovery process. Here, we report the establishment of an automated gene expression platform using in-house lysis conditions that allows the study of various cell lines, including primary T cells. This process innovation provides the opportunity to perform genotypic profiling in both immunology and oncology therapeutic areas with quantitative studies as part of routine drug discovery program support. This newly instituted platform also enables a panel screening strategy to efficiently connect HTS, lead identification, and lead optimization in parallel.

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