Zhang Liguo, Chen Yu, Belmont Andrew S
Department of Cell and Developmental Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Department of Molecular and Cell Biology, Li Ka Shing Center for Biomedical and Health Sciences, Howard Hughes Medical Institute, University of California, Berkeley, CA, USA.
Methods Mol Biol. 2022;2532:145-186. doi: 10.1007/978-1-0716-2497-5_8.
Distinct nuclear structures and bodies are involved in genome intranuclear positioning. Measuring proximity and relative distances of genomic loci to these nuclear compartments, and correlating this chromosome intranuclear positioning with epigenetic marks and functional readouts genome-wide, will be required to appreciate the true extent to which this nuclear compartmentalization contributes to regulation of genome functions. Here we present detailed protocols for TSA-seq, the first sequencing-based method for estimation of cytological proximity of chromosomal loci to spatially discrete nuclear structures, such as nuclear bodies or the nuclear lamina. TSA-seq uses Tyramide Signal Amplification (TSA) of immunostained cells to create a concentration gradient of tyramide-biotin free radicals which decays exponentially as a function of distance from a point-source target. Reaction of these free radicals with DNA deposits tyramide-biotin onto DNA as a function of distance from the point source. The relative enrichment of this tyramide-labeled DNA versus input DNA, revealed by DNA sequencing, can then be used as a "cytological ruler" to infer relative, or even absolute, mean chromosomal distances from immunostained nuclear compartments. TSA-seq mapping is highly reproducible and largely independent of the target protein or antibody choice for labeling a particular nuclear compartment. Our protocols include variations in TSA labeling conditions to provide varying spatial resolution as well as enhanced sensitivity. Our most streamlined protocol produces TSA-seq spatial mapping over a distance range of ~1 micron from major nuclear compartments using ~10-20 million cells.
不同的核结构和小体参与基因组的核内定位。为了真正了解这种核区室化对基因组功能调控的贡献程度,需要测量基因组位点与这些核区室的接近程度和相对距离,并将这种染色体核内定位与全基因组的表观遗传标记和功能读数相关联。在这里,我们介绍了TSA-seq的详细方案,这是第一种基于测序的方法,用于估计染色体位点与空间离散的核结构(如核小体或核纤层)的细胞学接近程度。TSA-seq利用免疫染色细胞的酪胺信号放大(TSA)来创建酪胺-生物素自由基的浓度梯度,该梯度随距点源目标的距离呈指数衰减。这些自由基与DNA的反应会根据距点源的距离将酪胺-生物素沉积到DNA上。通过DNA测序揭示的这种酪胺标记的DNA相对于输入DNA的相对富集,然后可以用作“细胞学尺子”,以推断与免疫染色的核区室的相对甚至绝对平均染色体距离。TSA-seq图谱具有高度可重复性,并且在很大程度上独立于用于标记特定核区室的靶蛋白或抗体选择。我们的方案包括TSA标记条件的变化,以提供不同的空间分辨率以及更高的灵敏度。我们最简化的方案使用约1000万至2000万个细胞,在距主要核区室约1微米的距离范围内产生TSA-seq空间图谱。