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Status |
Public on Mar 16, 2022 |
Title |
HiCuT: an efficient and low input method to identify protein-centric chromatin interactions |
Organism |
Homo sapiens |
Experiment type |
Other
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Summary |
Protein-DNA interactions regulate gene expression, and some interactions occur over large distances, such that they are nearby in 3-D space but are separated by many nucleotides in the linear genome. These long-range chromatin loops are essential for gene regulation but remain difficult to interrogate. Methods to capture these chromatin interactions mediated by a specific protein factor include Hi-C sequencing coupled with chromatin immunoprecipitation-sequencing (ChIP-seq), chromatin interaction analysis by paired-end tag sequencing (ChIA-PET), proximity ligation-assisted ChIP-seq (PLAC-seq), and HiChIP. These methods all require high amounts of starting material (0.5M – 100M cells) , which limits their general use. Here, we describe Hi-C Coupled chromatin cleavage and Tagmentation (HiCuT), an enzyme-based tagmentation strategy that provides efficient and high-resolution protein-centric chromatin mapping from as few as 5,000 cells. Thus, HiCuT will permit protein-centric 3-D genome binding assessment in rare cell populations that were previously not testable, including primary cells, human tissue samples, and personalized epigenomics.
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Overall design |
HiCuT assay on GM12878 and primary Keratinocytes
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Contributor(s) |
Sati S, Jones P, Kim HS, Zhou LA, Leung T |
Citation(s) |
35320278 |
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Submission date |
Oct 15, 2021 |
Last update date |
Apr 19, 2022 |
Contact name |
Satish Sati |
E-mail(s) |
satisatish16@gmail.com
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Phone |
+12675863881
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Organization name |
University of Pennsylvania
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Department |
Dermatology
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Lab |
Thomas Leung
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Street address |
421 Curie Blvd, BRB 1039
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City |
Philadelphia |
State/province |
Pennsylvania |
ZIP/Postal code |
19104 |
Country |
USA |
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Platforms (1) |
GPL18573 |
Illumina NextSeq 500 (Homo sapiens) |
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Samples (12)
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Relations |
BioProject |
PRJNA771696 |
SRA |
SRP341623 |
Supplementary file |
Size |
Download |
File type/resource |
GSE186011_RAW.tar |
555.1 Mb |
(http)(custom) |
TAR (of TXT) |
SRA Run Selector |
Raw data are available in SRA |
Processed data provided as supplementary file |
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