Gene expression

RNA Silencing

RNA Silencing and the Interplay Between Plants and Viruses
from Lourdes Fernández-Calvino, Livia Donaire and César Llave writing in Recent Advances in Plant Virology

In eukaryotes, RNA silencing controls gene expression to regulate development, genome stability and stress-induced responses. In plants, this process is also recognized as a major immune system targeted against plant viruses. Plant viruses stimulate RNA silencing responses though formation of viral RNA with double-stranded features that are subsequently processed into functional small RNAs (sRNAs). Recent studies highlight the complexity of the viral sRNA populations and their potential to associate with multiple silencing effector complexes. This fact has profound implications in the cross-talk interactions between plants and viruses since both virus genomes and host genes are putative targets of viral sRNAs. The concept of RNA silencing is an elegant natural antiviral mechanism in plants. Viral sRNA-mediated regulation of gene expression is important in the frame of compatible interactions between plants and viruses.

Further reading: Recent Advances in Plant Virology | Virology Publications | RNA and the Regulation of Gene Expression

High-throughput analysis

High-throughput screening to determine the genetic requirements for Salmonella survival under different growth conditions
from Mollie Megan Reynolds, Rocio Canals, Michael McClelland and Helene Andrews-Polymenis writing in Salmonella: From Genome to Function

Salmonella species are capable of survival in a wide range of niches, both in the environment and in an infected host. Genetic requirements for survival of Salmonella in different niches have traditionally been identified using gene expression and forward genetics. The availability of complete genome sequences, microarray technology, and cost-effective new sequencing capabilities enabled increasingly efficient high-throughput analyses of Salmonella genomes to identify elements that contribute to survival in these niches. A recent review describes many of the high-throughput tools that have been developed over the past two decades, and the genetic requirements for Salmonella survival that have been identified using these techniques.

Further reading: Salmonella: From Genome to Function

PCR Data Analysis

qPCR Data Analysis: Unlocking the Secret to Successful Results
from Jan Hellemans and Jo Vandesompele writing in PCR Troubleshooting and Optimization: The Essential Guide

Real-time quantitative PCR (qPCR) is the gold standard for fast, accurate, sensitive and cost-efficient gene expression analysis. Despite its conceptual simplicity and ease of use, the multi-step qPCR workflow contains many potential pitfalls. An intelligent experiment design and setup, high quality reagents and assays, quality controls in each step of the workflow, proper quantification models and appropriate bio-statistical analyses pave the way to successful gene expression results. Data analysis aspects include the evaluation of pilot studies and quality controls, through universally applicable quantification models and bio-statistics, to the reporting of experiment results.

Further reading: PCR Troubleshooting and Optimization: The Essential Guide