Bartlett Anna, O'Malley Ronan C, Huang Shao-Shan Carol, Galli Mary, Nery Joseph R, Gallavotti Andrea, Ecker Joseph R
Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, California, USA.
Plant Biology Laboratory, The Salk Institute for Biological Studies, La Jolla, California, USA.
Nat Protoc. 2017 Aug;12(8):1659-1672. doi: 10.1038/nprot.2017.055. Epub 2017 Jul 20.
To enable low-cost, high-throughput generation of cistrome and epicistrome maps for any organism, we developed DNA affinity purification sequencing (DAP-seq), a transcription factor (TF)-binding site (TFBS) discovery assay that couples affinity-purified TFs with next-generation sequencing of a genomic DNA library. The method is fast, inexpensive, and more easily scaled than chromatin immunoprecipitation sequencing (ChIP-seq). DNA libraries are constructed using native genomic DNA from any source of interest, preserving cell- and tissue-specific chemical modifications that are known to affect TF binding (such as DNA methylation) and providing increased specificity as compared with in silico predictions based on motifs from methods such as protein-binding microarrays (PBMs) and systematic evolution of ligands by exponential enrichment (SELEX). The resulting DNA library is incubated with an affinity-tagged in vitro-expressed TF, and TF-DNA complexes are purified using magnetic separation of the affinity tag. Bound genomic DNA is eluted from the TF and sequenced using next-generation sequencing. Sequence reads are mapped to a reference genome, identifying genome-wide binding locations for each TF assayed, from which sequence motifs can then be derived. A researcher with molecular biology experience should be able to follow this protocol, processing up to 400 samples per week.
为了能够以低成本、高通量的方式生成任何生物体的顺反组和表观顺反组图谱,我们开发了DNA亲和纯化测序(DAP-seq),这是一种转录因子(TF)结合位点(TFBS)发现测定法,它将亲和纯化的TF与基因组DNA文库的下一代测序相结合。该方法快速、廉价,并且比染色质免疫沉淀测序(ChIP-seq)更容易扩展。使用来自任何感兴趣来源的天然基因组DNA构建DNA文库,保留已知会影响TF结合的细胞和组织特异性化学修饰(如DNA甲基化),并且与基于蛋白质结合微阵列(PBM)和指数富集配体系统进化(SELEX)等方法的基序进行的计算机预测相比,具有更高的特异性。将所得的DNA文库与亲和标签体外表达的TF一起孵育,并使用亲和标签的磁分离纯化TF-DNA复合物。从TF上洗脱结合的基因组DNA,并使用下一代测序进行测序。将序列读数映射到参考基因组,确定每个测定的TF在全基因组范围内的结合位置,然后从中推导序列基序。有分子生物学经验的研究人员应该能够遵循此方案,每周处理多达400个样品。