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Recently, I been worked with RNA sequencing data analysis concerning a set of 80 candidate genes. Here is my library preparation workflow, RNA was reverse transcribed to cDNA which was used for capture by Angilent customized probes, then proceed to high through sequencing. After mapping, I want to do DEG analysis, which software should I to use when my gene number is limited? or I just calculate RPKM and simply identify DEGs by fold change > 2?
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The field of epigenetics has traditionally concentrated more on DNA and how changes like methylation and phosphorylation of histones impact gene expression and regulation. However, our increased understanding of RNA modifications and their importance in cellular processes has led to a rise in epitranscriptomics research. “Epitranscriptomics brings together the concepts of epigenetics and gene expression,” explained Adrien Leger, PhD, Principal Research Scientist on Modified Bases...Yesterday, 07:01 AM -
Proteins are often described as the workhorses of the cell, and identifying their sequences is key to understanding their role in biological processes and disease. Currently, the most common technique used to determine protein sequences is mass spectrometry. While still a valuable tool, mass spectrometry faces several limitations and requires a highly experienced scientist familiar with the equipment to operate it. Additionally, other proteomic methods, like affinity assays, are constrained...04-04-2024, 04:25 PM