Project description:We developed a novel approach, m1A-seq, for high-resolution mapping of the transcriptome-wide m1A landscape, based on antibody-mediated capture followed by massively parallel sequencing Identification of m1A modified sequences in human, mouse and yeast cell lines
Project description:We developed a novel approach, m1A-seq, for high-resolution mapping of the transcriptome-wide m1A landscape, based on antibody-mediated capture followed by massively parallel sequencing. Using this method we performed immunodepletion of methylated transcipts to assess the average methylation level Immunodepletion of m1A modified transcripts in human compared to the input, allows for estimation of the fraction of methylated transcripts. We compared the expression levels of sup (immunodepleted) and input methylated transcripts to deduce the fraction of m1A methylation.
Project description:We developed a novel approach, m1A-seq, for high-resolution mapping of the transcriptome-wide m1A landscape, based on antibody-mediated capture followed by massively parallel sequencing
Project description:We developed a novel approach, m1A-seq, for high-resolution mapping of the transcriptome-wide m1A landscape, based on antibody-mediated capture followed by massively parallel sequencing. Using this method we performed immunodepletion of methylated transcipts to assess the average methylation level