Discovery of novel targets with high throughput RNA interference screening.

Comb Chem High Throughput Screen

Lead Discovery Department, Amgen Inc., South San Francisco, CA 94080, USA.

Published: March 2008

High throughput technologies have the potential to affect all aspects of drug discovery. Considerable attention is paid to high throughput screening (HTS) for small molecule lead compounds. The identification of the targets that enter those HTS campaigns had been driven by basic research until the advent of genomics level data acquisition such as sequencing and gene expression microarrays. Large-scale profiling approaches (e.g., microarrays, protein analysis by mass spectrometry, and metabolite profiling) can yield vast quantities of data and important information. However, these approaches usually require painstaking in silico analysis and low-throughput basic wet-lab research to identify the function of a gene and validate the gene product as a potential therapeutic drug target. Functional genomic screening offers the promise of direct identification of genes involved in phenotypes of interest. In this review, RNA interference (RNAi) mediated loss-of-function screens will be discussed and as well as their utility in target identification. Some of the genes identified in these screens should produce similar phenotypes if their gene products are antagonized with drugs. With a carefully chosen phenotype, an understanding of the biology of RNAi and appreciation of the limitations of RNAi screening, there is great potential for the discovery of new drug targets.

Download full-text PDF

Source
http://dx.doi.org/10.2174/138620708783877744DOI Listing

Publication Analysis

Top Keywords

high throughput
12
rna interference
8
identification genes
8
discovery novel
4
novel targets
4
targets high
4
throughput rna
4
screening
4
interference screening
4
screening high
4

Similar Publications

MicroRNA (miRNA) modulation has emerged as a promising strategy in cancer immunotherapy, particularly in converting "cold" tumors with limited immune cell infiltration into "hot" tumors responsive to immunotherapy. miRNAs regulate immune cell recruitment and activation within the tumor microenvironment, influencing tumor behavior targeting specific miRNAs in cold tumors aims to enhance the immune response, potentially improving therapeutic efficacy. Despite ongoing research challenges, such as tumor complexity and treatment resistance, miRNA-based therapies offer personalized approaches with potential ethical considerations.

View Article and Find Full Text PDF

Forsythiaside A Ameliorates Inflammation by Regulating the Autophagy in Methotrexate-induced Intestinal Mucositis.

Comb Chem High Throughput Screen

January 2025

Hebei Key Laboratory of Specialty Animal Germplasm Resources Exploration and Innovation, College of Animal Science and Technology, Hebei Normal University of Science and Technology, Qinhuangdao, China.

Background: Methotrexate (MTX) effectively eliminates cancerous cells but can also cause inflammation intestinal, known as mucositis. Forsythiaside A (FTA) from Forsythia suspensa has shown promise in relieving mucositis by targeting the NLRP3 pathways. Since NLRP3 inflammasome activation is negatively regulated by autophagy, this study explores how FTAmediated autophagy affects NLRP3 inflammasome in treating MTX-induced intestinal inflammation.

View Article and Find Full Text PDF

The stomatal phenotype is a crucial microscopic characteristic of the leaf surface, and modulating the stomata of maize leaves can enhance photosynthetic carbon assimilation and water use efficiency, thereby playing a vital role in maize yield formation. The evolving imaging and image processing technologies offer effective tools for precise analysis of stomatal phenotypes. This study employed Jingnongke 728 and its parental inbred to capture stomatal images from various leaf positions and abaxial surfaces during key reproductive stages using rapid scanning electron microscopy.

View Article and Find Full Text PDF

With the rapid advancement of plant phenotyping research, understanding plant genetic information and growth trends has become crucial. Measuring seedling length is a key criterion for assessing seed viability, but traditional ruler-based methods are time-consuming and labor-intensive. To address these limitations, we propose an efficient deep learning approach to enhance plant seedling phenotyping analysis.

View Article and Find Full Text PDF

The total oxidation of -hexane, a hazardous volatile organic compound (VOC) emitted by the pharmaceutical industry, presents a significant environmental challenge due to limited catalyst activity at low temperatures and poor stability at high temperatures. Here, we present a novel approach that overcomes these limitations by employing single-atom Ag/MnO catalysts coupled with nonthermal plasma (NTP). This strategy achieves exceptional performance in -hexane oxidation at low temperatures, demonstrating 96.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!