Multiplexed and ultralow-input ChIP-seq enabled by tagmentation-based indexing and facile microfluidics
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA638667 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR11991247.fastq.gz | Fastqsanger.gz | |||
| SRR11991248.fastq.gz | Fastqsanger.gz | |||
| SRR11991249.fastq.gz | Fastqsanger.gz | |||
| SRR11991250.fastq.gz | Fastqsanger.gz | |||
| SRR11991251.fastq.gz | Fastqsanger.gz |
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Project description:Epigenome constitutes an important layer that regulates gene expression and dynamics during development and diseases. Extensive efforts have been made to develop epigenome profiling methods using a low number of cells and with high throughput. Chromatin immunoprecipitation (ChIP) is the most important approach for profiling genome-wide epigenetic changes such as histone modifications. In this report, we demonstrate microfluidic ChIPmentation (mu-CM), a microfluidic technology that enables profiling cell samples that individually do not generate enough ChIP DNA for sequencing library preparation. We used a simple microfluidic device to allow eight samples to be processed simultaneously. The samples were indexed differently using a tagmentation-based approach (ChIPmentation) and then merged for library preparation. A histone modification profile for each individual sample was obtained by demultiplexing the sequencing reads based on the indexes. Our technology allowed profiling 20 cells and is well suited for cell-type-specific studies using low-abundance tissues.
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