Introduction:
Transcriptomics is a branch of genomics focused on the study of how genes are expressed in cells. It is a field that has been around for more than 10 years.
The use cases for transcriptomics include understanding disease mechanisms, designing new therapies, and identifying new drug targets. Transcriptomics studies can also use to identify novel biomarkers that predict.
The effectiveness of treatments before they have even begun.
What is Transcriptomics?
Transcriptomics is the study of how a gene’s expression changes in response to a change in its environment.
Spatial Transcriptomics is used to identify changes in gene expression.
It can help uncover how the environment affects an organism’s health and behavior.
It is a new field that has been rapidly expanding and providing new insights into how genes function. It is also being used to discover the effects of environmental factors on organisms, such as plants, animals, humans, etc.,
Using Methylation as a Tool for Studying Epigenetics
Methylation is a process that changes the pattern of DNA by adding or removing a methyl group. This process is use as a tool for studying epigenetics.
Epigenetics is the study of heritable changes in gene expression or cellular phenotype.
By mechanisms other than alterations in the underlying DNA sequence.
This tool is handy for scientists who want to study gene function and regulation, as it can be applied to whole organisms and single cells, which are much more difficult to work with using other methods.
How are Transcriptomes Different from Genomes?
Transcriptomes are the complete list of RNA molecules in a cell’s genome. They are an alternative to the DNA genome used to study gene expression.
The transcriptome includes all the mRNA molecules and their corresponding translated proteins in a cell.
Which is different from the genome which includes only DNA molecules and their corresponding proteins.
Spatial Transcriptomic Analysis in the Lab and Field – What’s the Difference?
Spatial transcriptomics is a new analysis technique that can be used to compare the transcriptomes of different organisms at different time points. stack is software that the National Institute of Standards and Technology has developed.
Spatial transcriptomic analysis can be used to determine how the genome is regulated in response to environmental factors. For example, it is used to identify genes that are responsible for adapting to high-altitude conditions.
The spatial transcriptome analysis technique proved useful in understanding gene expression changes during plant development.
It also has applications across various fields, such as disease research and conservation biology.
