nMOWChIP-seq: low-input genome-wide mapping of non-histone targets.
Zhengzhi LiuLynette B NalerYan ZhuChengyu DengQiang ZhangBohan ZhuZirui ZhouMimosa SarmaAlexander MurrayHehuang XieChang LuPublished in: NAR genomics and bioinformatics (2022)
Genome-wide profiling of interactions between genome and various functional proteins is critical for understanding regulatory processes involved in development and diseases. Conventional assays require a large number of cells and high-quality data on tissue samples are scarce. Here we optimized a low-input chromatin immunoprecipitation followed by sequencing (ChIP-seq) technology for profiling RNA polymerase II (Pol II), transcription factor (TF), and enzyme binding at the genome scale. The new approach produces high-quality binding profiles using 1,000-50,000 cells. We used the approach to examine the binding of Pol II and two TFs (EGR1 and MEF2C) in cerebellum and prefrontal cortex of mouse brain and found that their binding profiles are highly reflective of the functional differences between the two brain regions. Our analysis reveals the potential for linking genome-wide TF or Pol II profiles with neuroanatomical origins of brain cells.
Keyphrases
- genome wide
- dna methylation
- induced apoptosis
- transcription factor
- cell cycle arrest
- single cell
- copy number
- dna binding
- prefrontal cortex
- high resolution
- gene expression
- oxidative stress
- multiple sclerosis
- cell death
- risk assessment
- circulating tumor cells
- artificial intelligence
- subarachnoid hemorrhage
- machine learning
- climate change
- human health