Profiling the long noncoding RNA interaction network in the regulatory elements of target genes by chromatin in situ reverse transcription sequencing.
Shilin ZhangYichen WangLin JiaXue WenZhonghua DuCong WangYajing HaoDehai YuLei ZhouNaifei ChenJingcheng ChenHuiling ChenHui ZhangIlkay CelikGünhan GülsoyJianjun LuoBaoming QinXueling CuiZhonghui LiuSongling ZhangMiguel A EstebanFerhat AyWei XuRunsheng ChenWei LiAndrew R HoffmanJi-Fan HuJiuwei CuiPublished in: Genome research (2019)
Long noncoding RNAs (lncRNAs) can regulate the activity of target genes by participating in the organization of chromatin architecture. We have devised a "chromatin-RNA in situ reverse transcription sequencing" (CRIST-seq) approach to profile the lncRNA interaction network in gene regulatory elements by combining the simplicity of RNA biotin labeling with the specificity of the CRISPR/Cas9 system. Using gene-specific gRNAs, we describe a pluripotency-specific lncRNA interacting network in the promoters of Sox2 and Pou5f1, two critical stem cell factors that are required for the maintenance of pluripotency. The promoter-interacting lncRNAs were specifically activated during reprogramming into pluripotency. Knockdown of these lncRNAs caused the stem cells to exit from pluripotency. In contrast, overexpression of the pluripotency-associated lncRNA activated the promoters of core stem cell factor genes and enhanced fibroblast reprogramming into pluripotency. These CRIST-seq data suggest that the Sox2 and Pou5f1 promoters are organized within a unique lncRNA interaction network that determines the fate of pluripotency during reprogramming. This CRIST approach may be broadly used to map lncRNA interaction networks at target loci across the genome.
Keyphrases
- genome wide
- stem cells
- transcription factor
- genome wide identification
- long noncoding rna
- embryonic stem cells
- dna methylation
- cell fate
- single cell
- crispr cas
- copy number
- long non coding rna
- genome wide analysis
- gene expression
- network analysis
- dna damage
- cell therapy
- rna seq
- computed tomography
- cell proliferation
- electronic health record
- machine learning
- contrast enhanced
- genome wide association
- nucleic acid
- big data