Gene Cluster Identification
Gene Cluster Identification - Related Videos
10:40
CRISPR Gene Editing Tool for MicroRNA Cluster Network Analysis
0 Views •
Cited by 1 •
2022
This protocol describes a high-throughput clustered regularly interspaced short palindromic repeats (CRISPR) gene editing workflow for microRNA cluster network analysis that allows the rapid generation of a panel of genetically modified cell lines carrying unique miRNA cluster member deletion combinations as large as 35 kb within a single experiment.
08:17
VIGS-Mediated Forward Genetics Screening for Identification of Genes Involved in Nonhost Resistance
0 Views •
Cited by 22 •
2013
Virus-induced gene silencing is an useful tool for identifying genes involved in nonhost resistance of plants. We demonstrate the use of bacterial pathogens expressing GFPuv in identifying gene silenced plants susceptible to nonhost pathogens. This approach is easy, fast and facilitates large scale screening and similar protocol can be applied to studying various other plant-microbe interactions.
09:40
Characterization of Functionally Associated miRNAs in Glioblastoma and their Engineering into Artificial Clusters for Gene Therapy
0 Views •
Cited by 2 •
2019
Described here is a protocol for characterizing modules of biologically synergistic miRNAs and their assembly into short transgenes, which allows simultaneous overexpression for gene therapy applications.
06:34
Identification of Rare Bacterial Pathogens by 16S rRNA Gene Sequencing and MALDI-TOF MS
0 Views •
Cited by 29 •
2016
Matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF MS) and molecular techniques (16S rRNA gene sequencing) permit the identification of rare bacterial pathogens in routine diagnostics. The goal of this protocol lies in the combination of both techniques which leads to more accurate and reliable data.
09:08
From a Natural Product to Its Biosynthetic Gene Cluster: A Demonstration Using Polyketomycin from Streptomyces diastatochromogenes Tü6028
0 Views •
Cited by 3 •
2017
Here we present a detailed protocol of (A) the identification of a natural product with antibiotic activity, (B) the purification of the compound, (C) the first model of its biosynthesis, (D) genome sequencing/-mining and the (E) verification of the biosynthetic gene cluster.
FAQs
Physical proximity alone does not establish a meaningful cluster. Researchers strengthen an identification by combining neighboring positions with related predicted functions, sequence similarity, shared evolutionary origins, coordinated expression, or evidence of common regulation. Conserved chromosomal arrangement across genomes provides additional support, helping separate biologically connected genes from unrelated genes that happen to lie near one another.
Conserved synteny, meaning the preservation of neighboring gene order between genomes, can indicate that a genomic arrangement has been maintained through evolution. Comparing this arrangement helps researchers assess whether linked genes may share an evolutionary relationship or coordinated role. Changes in gene order can also reveal lineage-specific differences that affect cluster interpretation.
Each evidence type addresses a different aspect of cluster interpretation. Sequence comparisons can reveal related genes, annotations suggest possible functions, and expression patterns can indicate coordinated activity. Considering them together is more informative than relying on any single feature, because physically linked genes may differ in sequence, predicted role, or activity while still requiring comparative evaluation.
A typical analysis begins with genome sequences and available gene annotations, followed by inspection of chromosomal arrangement and neighboring genes. Researchers then compare corresponding regions, assess conserved synteny, and evaluate sequence similarity, predicted functions, and expression patterns. The combined evidence supports identification of candidate clusters and improves interpretation of their possible biological significance.
Cross-species comparison can show whether a group of genes and its genomic arrangement are conserved, altered, or absent in different lineages. These patterns provide evidence about evolutionary origins and may highlight genes associated with lineage-specific functions. In genetics, such comparisons also help prioritize candidates for further study of biological pathways and inherited traits.
The approach is useful when researchers need to connect genomic organization with biological function. It can support genome annotation, comparative genomics, and studies of pathways involved in specialized metabolite production, host defense, or development. It may also help identify candidate genes related to inherited traits or disease by revealing linked genes that warrant additional investigation.