TSA-seq reveals a largely conserved genome organization relative to nuclear speckles with small position changes tightly correlated with gene expression changes

(Downloading may take up to 30 seconds. If the slide opens in your browser, select File -> Save As to save it.)

Click on image to view larger version.

Figure 1.
Figure 1.

TSA-seq 2.0 enables 10- to 20-fold increase in sensitivity but preserves distance mapping capability. (A) TSA Conditions A–E (K562 cells) show varying nuclear speckle specificity. SON immunostaining of speckles (green), streptavidin tyramide-biotin staining (red), merged channels, plus DNA (DAPI, blue). (B) Tyramide-biotin intensities along line profiles spanning nuclear speckles in A for Conditions A–E. (C) Schema predicting results from following Condition E tyramide-biotin TSA staining with Condition A tyramide-FITC TSA staining, assuming Condition E saturates protein but not DNA tyramide-labeling. (D) Experimental results for schema in C. Top row: Control showing two consecutive rounds of Condition A (nonsaturating) TSA-labeling using tyramide-biotin and then tyramide-FITC. Bottom row: Same as top row but using Condition E for first TSA-labeling. SON immunostaining (gray), tyramide-biotin (red), tyramide-FITC (green), merged channels, plus DAPI (blue). (E) SON TSA-seq mapping results for Conditions A–E showing TSA-seq enrichment scores (black tracks), estimated speckle distances (Conditions A and E, middle orange tracks), and residuals (absolute magnitude) between Conditions A and E distances (bottom, orange track). (F) Histogram of distance residuals in E: number (y-axis), residual value (x-axis). (G) Cell numbers used and pulldown DNA yields for TSA Conditions A–E.

This Article

  1. Genome Res. 31: 251-264

Preprint Server