Source: https://www.biorxiv.org/content/10.1101/2024.11.27.625786v1.full Figure 1. GO-CaT is an efficient method for profiling genome-wide LAD structure (A) A working scheme of GO-CaT workflow. (B) Genome tracks comparing LaminB interaction profiles captured by LaminB DamID, GO-CaRT and GO-CaT in HEK293T cells at a representative region (chr1:63,888,968-109,339,020). (C) Correlation heatmap showing the Jaccard similarity of between LADs identified by LaminB1 DamID, GO-CaRT and GO-CaT in HEK293T cells. (D) Percentage of sequenced reads in LADs identified by DamID (orange), GO-CaRT (dark blue) and GO-CaT (light blue) in HEK293T. All experiments were sub-sampled to have equivalent number of reads and sequencing depth for comparison. (E) Metaplot showing normalized LaminB1 enrichment across all 0.5Mb flanking regions of the boundaries that distinguish LADs from inter-LAD in HEK293T.

Genome Organization with CUT and Tag (GO-CaT) identifies substructure and maturation of lamina-associated domains in neurons of the developing human brain. #GenomeOrganization #CutAndTag #LaminaDomains @biorxivpreprint.bsky.social 🧬
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