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I recently obtained strange results from a ChIP-seq experiment. Rather than having relatively thorough coverage of the genome, my reads were separated by large gaps and many were identical to each other and stacked right on top of each other. (I should note that I did also see enrichment at predicted areas.) We have not observed this pattern before. Then only thing that we see abnormal in the Illumina sequencer output info is that there was a large bias for G as the first nucleotide in the sequences. Could be related to the large stacks of identical reads? Any thoughts on why this may be occuring? Do you think it could be an inefficient ligation or amplification issue? TIA!
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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...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