Single-gene Analysis
Single-gene Analysis - Related Videos
02:36
Single-Cell Analysis of Gene Expression from Plant-Extracted Pathogens
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2026
Source: Rufián, J. S., et al. Single-Cell Analysis of the Expression of Pseudomonas syringae Genes within the Plant Tissue. J. Vis. Exp. (2022).This video demonstrates a method for analyzing gene expression in plant-extracted pathogenic bacteria at the single-cell level using a fluorescently tagged transcription factor. Confocal imaging reveals heterogeneity in virulence gene expression, highlighting functional diversity within a clonal bacterial population.
13:06
Analysis of Single-cell Gene Transcription by RNA Fluorescent In Situ Hybridization (FISH)
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Cited by 6 •
2012
Fluorescent in situ hybridization (FISH) to identify mRNA transcripts in individual cells allows analysis of polygenic activity such as the simultaneous transcription of more than one member of the var multigene family in Plasmodium falciparum infected erythrocytes 1. The technique is adaptable and can be used on different types of genes, cells and organisms.
13:32
Laser Capture Microdissection of Enriched Populations of Neurons or Single Neurons for Gene Expression Analysis After Traumatic Brain Injury
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Cited by 22 •
2013
We describe how to use laser capture microdissection (LCM) to obtain enriched populations of hippocampal neurons or single neurons from frozen sections of the injured rat brain for subsequent gene expression analysis using quantitative real time PCR and/or whole-genome microarrays.
07:35
Single-Cell Analysis of the Expression of Pseudomonas syringae Genes within the Plant Tissue
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Cited by 5 •
2022
The present protocol describes a method that allows single-cell gene expression analysis on Pseudomonas syringae populations grown within the plant apoplast.
08:31
Isolation and Genome Analysis of Single Virions using 'Single Virus Genomics'
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Cited by 2 •
2013
Single Virus Genomics (SVG) is a method to isolate and amplify the genomes of single virons. Viral suspensions of a mixed assemblage are sorted using flow cytometry onto a microscope slide with discrete wells containing agarose, thereby capturing the virion and reducing genome shearing during downstream processing. Whole genome amplification is achieved using multiple displacement amplification (MDA) resulting in genomic material that is suitable for sequencing.
FAQs
Sequence comparison can reveal whether a candidate gene contains variants that distinguish one sample or condition from another. The analytical value comes from connecting those sequence differences to possible effects on gene function and, ultimately, an observed trait or disorder. This makes variant-focused investigation useful when the research question concerns one gene rather than patterns distributed across the genome.
Expression measurements add a functional perspective that sequence comparisons alone may not provide. They indicate how activity of the gene relates to a trait or disorder, while sequence analysis focuses on the DNA itself. Considering both types of evidence can help connect a variant or gene state with molecular effects and improve interpretation of genotype-phenotype relationships.
Inheritance tracing places a gene-related observation within a family pattern rather than treating it as an isolated molecular result. When considered alongside sequence or expression findings, the pattern can show whether a gene change tracks with a trait or disorder. This supports analysis of genotype-phenotype relationships and is especially relevant to conditions associated with a single gene.
It is most appropriate when the research question centers on a particular gene, such as its sequence, function, expression, or contribution to a trait. A focused design can provide detailed insight into that gene and its effects, whereas a broader genomic survey examines more extensive patterns. The choice therefore depends on whether breadth or gene-specific resolution is more important.
Researchers should first identify the evidence needed to answer the question: DNA sequence comparison for variants, expression measurement for gene activity, or inheritance tracing for transmission patterns. If the aim is to understand function or a trait, the selected analysis should also support links between the gene, molecular effects, and phenotype. This alignment keeps the investigation focused and interpretable.
Results can support variant interpretation by helping relate a detected change to gene function and a phenotype, rather than considering the sequence finding alone. In genetics, this evidence may also aid diagnosis of monogenic conditions and guide targeted experiments designed around the gene of interest. The outcome is a more focused basis for studying mutation effects and genotype-phenotype relationships.