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Mapping RNA-chromatin interactions by sequencing with iMARGI v2
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RNA-chromatin interactions represent an important aspect of transcriptional regulation of genes and transposable elements. However, analyses of chromatin-associated RNAs (caRNA) are often limited to one caRNA at a time. Here, we describe the iMARGI (in situ Mapping of RNA-Genome Interactome) technique used to discover caRNAs and reveal their respective genomic interaction loci. iMARGI starts with in situ crosslinking and genome fragmentation, followed by converting each proximal RNA-DNA pair into an RNA-linker-DNA chimeric sequence. These chimeric sequences are subsequently converted into a sequencing library suitable for paired-end sequencing. A standardized bioinformatic software package called iMARGI-Dockeris provided to decode the pairedend sequencing data into caRNA-DNA interactions. Compared to its predecessor MARGI, in iMARGI the number of input cells is 3-5 million, which is reduced by 100-fold, experimental time is reduced, clear checkpoints have been established. It takes a few hours a day and a total of 8 days to complete the construction of an iMARGI sequencing library and one day to carry out data processing with iMARGI-Docker.
Springer Science and Business Media LLC
Title: Mapping RNA-chromatin interactions by sequencing with iMARGI v2
Description:
RNA-chromatin interactions represent an important aspect of transcriptional regulation of genes and transposable elements.
However, analyses of chromatin-associated RNAs (caRNA) are often limited to one caRNA at a time.
Here, we describe the iMARGI (in situ Mapping of RNA-Genome Interactome) technique used to discover caRNAs and reveal their respective genomic interaction loci.
iMARGI starts with in situ crosslinking and genome fragmentation, followed by converting each proximal RNA-DNA pair into an RNA-linker-DNA chimeric sequence.
These chimeric sequences are subsequently converted into a sequencing library suitable for paired-end sequencing.
A standardized bioinformatic software package called iMARGI-Dockeris provided to decode the pairedend sequencing data into caRNA-DNA interactions.
Compared to its predecessor MARGI, in iMARGI the number of input cells is 3-5 million, which is reduced by 100-fold, experimental time is reduced, clear checkpoints have been established.
It takes a few hours a day and a total of 8 days to complete the construction of an iMARGI sequencing library and one day to carry out data processing with iMARGI-Docker.
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