Abstract
The most direct approach to study the physiological role of a protein of unknown function (Functional Genomics) is to change its expression pattern in an intact organism and analyze the phenotypic consequences of this manipulation. The introduction of a method to generate stably transgenic Xenopus laevis has paved the way to the use of tissue / cell- and developmental stage-specific promoters allowing to study the physiological function of proteins in a defined set of fully differentiated cells. Whereas stable (over)expression of proteins in Xenopus is now within reach, stable inhibition of protein expression can only be accomplished randomly, by gene trap approaches. We here report our efforts to induce stable RNA interference (RNAi) in X. laevis via transgene-driven expression of inverted repeats. Stable, and muscle- and neuron-specific knock-down of expression of exogenous green fluorescent protein (GFP) reporter was achieved via RNA polymerase II promoter-driven expression of long GFP RNA duplexes. Unfortunately, our attempts to induce RNAi directed against various endogenous targets, based on the use of RNA polymerase II and III promoters, and long and short inverted repeats have not resulted in a reliable protocol for stable, transgene-driven RNAi in Xenopus. In the second part, we present an example of the use of a cell-specific promoter for functional studies. Cell-specific transgene overexpression of a GFP-tagged member of the p24 family thought to be involved in intracellular protein transport was achieved and this manipulation of the intermediate pituitary melanotrope cell had a phenotypic consequence at its physiological target, the skin melanophore. Thus, the traditional experimental advantages of X. laevis combined with the recently developed technique of stable, non-mosaic Xenopus transgenesis make this lower vertebrate an attractive model organism for Functional Genomics.
Keywords: dsrna, intermediate pituitary cells, p24
Call for Papers in Thematic Issues
Advanced Computational Algorithms and Artificial Intelligence in Clinical Pharmacogenomics
In the era of personalized medicine, understanding the relationship between genetics and drug response is crucial. This issue delves into innovative methodologies, leveraging deep computational analysis and artificial intelligence, to enhance the field of Clinical Pharmacogenomics. The interdisciplinary approach harnesses the power of advanced high-throughput genotyping technologies, sophisticated computational analysis, ...read more
Applications of Single-cell Sequencing Technology in Reproductive Medicine
Single cell sequencing (SCS) technology utilizes individual cells' genetic material to sequence their genome, transcriptome, and epigenetics at the molecular level. It offers insights into cell heterogeneity and enables the study of limited biological materials. Since its recognition as a valuable technique in 2011, single cell sequencing has yielded numerous ...read more
Big Data in Cancer Research
Cancer is a significant threat to human life and health, remaining a highly aggressive killer. It is a leading cause of death worldwide and represents a crucial medical issue for humanity. However, in the past decade, the effectiveness of new synthetic anticancer agents has not matched the current clinical speculation. ...read more
Current Genomics in Cardiovascular Research
Cardiovascular diseases are the main cause of death in the world, in recent years we have had important advances in the interaction between cardiovascular disease and genomics. In this Research Topic, we intend for researchers to present their results with a focus on basic, translational and clinical investigations associated with ...read more
Related Journals
Related Books
In Vitro Propagation and Secondary Metabolite Production from Medicinal Plants: Current Trends (Part 2)
Micropropagation of Medicinal Plants
Software and Programming Tools in Pharmaceutical Research
Biotechnology and Drug Development for Targeting Human Diseases
In Vitro Propagation and Secondary Metabolite Production from Medicinal Plants: Current Trends (Part 1)
Molecular and Physiological Insights into Plant Stress Tolerance and Applications in Agriculture- Part 2
Micropropagation of Medicinal Plants
Genome Editing in Bacteria (Part 1)
Data Science for Agricultural Innovation and Productivity
Animal Models In Experimental Medicine
1