Table 1.

Quantification of speckle parameters.

Condition	n1	Diffusion coefficient × 10³ (μm2/min)	n2	Speckle area (μm2)
Control	130	2.15±0.06	174	1.9±0.1
RNA Pol II Inhibition	79	3.6±0.1**	117	2.5±0.1**
Latrunculin A	92	1.47±0.06**	113	1.2±0.1**
ATP depletion	61	0.35±0.03**	223	1.47±0.05**
shRNA Control	67	1.75±0.07	135	2.0±0.1
BRG1 knockdown	80	1.23±0.04##	149	1.5±0.1#
GFP Control	64	2.91±0.09	80	2.4±0.2
GFP-KASH4	89	1.14±0.04++	142	1.8±0.1++

Splicing speckles moved diffusively and followed a simple random walk model. Diffusion coefficients were estimated by fitting the equation MSD=4Dt to MSD versus time curves (an example is in Figure 4B). n₁ is the number of speckles used to estimate the diffusion coefficient in each condition. Values are slope ± standard deviation of the slope. The areas of speckles were measured by using Columbus Data Storage and Analysis System and the values shown in the table are the average of n₂ number of speckles. Values are mean± standard error of the mean (SEM). Statistically significant differences between control and condition are indicated by symbols:

^**p <0.01 relative to Control,

^#p<0.05 and

^##p<0.01 relative to shRNA Control;

⁺⁺p<0.01 relative to GFP Control.