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Multiplex GAM datasets collected with an average of three nuclear profiles each (samples failing QC)

ABSTRACT: Technologies for measuring 3D genome topology are increasingly important for studying mechanisms of gene regulation, for genome assembly and for mapping of genome rearrangements. We developed multiplex-GAM, a faster and more affordable version of Genome Architecture Mapping (GAM), a ligation-free technique to map chromatin contacts genome-wide. We applied multiplex-GAM to Mouse ES cells.

ORGANISM(S): Mus musculus

PROVIDER: GSE166379 | GEO | 2022/06/13

REPOSITORIES: GEO

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Multiplex GAM datasets collected with an average of three nuclear profiles each

Project description:Technologies for measuring 3D genome topology are increasingly important for studying mechanisms of gene regulation, for genome assembly and for mapping of genome rearrangements. We developed multiplex-GAM, a faster and more affordable version of Genome Architecture Mapping (GAM), a ligation-free technique to map chromatin contacts genome-wide. We applied multiplex-GAM to Mouse ES cells.

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Multiplex GAM datasets collected with an average of three nuclear profiles each (samples failing QC)

Project description:Multiplex GAM datasets collected with an average of three nuclear profiles each (samples failing QC)

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Multiplex Chromatin Interactions with Single Molecule Precision

Project description:Emerging 3D genome mapping efforts suggest complex chromosomal folding structures. However, the true multiplex nature of chromatin interactions has yet to be fully explored. Here, we describe a chromatin interaction analysis by droplet-based sequencing (ChIA-Drop). In ChIA-Drop, individual chromatin complexes are partitioned into droplets that contain a gel bead of DNA-barcoded primers, such that tethered chromatin DNA fragments are uniquely indexed and amplified for sequencing and mapping to demarcate multiplex chromatin contacts. Thus, ChIA-Drop can identify complex chromatin interactions with unprecedented single-molecule precision, which is not possible using methods that analyze pairwise contacts via proximity ligation. We demonstrate that multiplex chromatin interactions predominantly contribute to topologically associated domains with high heterogeneity, and that multivalent promoter-centered interactions provide a topological model for gene transcription.

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