Insights into the regulation of intrinsically disordered proteins in the human proteome by analyzing sequence and gene expression data

Table 2 Percentage of transcripts encoding disordered proteins predicted to be targeted by miRNA

	Total*	Unique^†	Match^‡	Percentage^§
Category of disorder
Highly disordered	877	827	257	31.08
Highly ordered	5,693	5,351	782	14.61
Disordered	15,095	14,282	5,056	35.40
Ordered	18,774	17,766	3,433	19.32
All proteins	33,869	32,010	8,468	26.45
Percentage of disorder
Disordered
[0,20]	4,271	4,055	1,402	34.57
(20,40]	6,957	6,603	2,300	34.83
(40,60]	3,036	2,866	1,119	39.04
(60,80]	679	644	233	36.18
(80,100]	152	143	20	13.99
Total	15,095	14,311	5,074	35.45
Ordered
[0,20]	16,341	15,503	3,037	19.59
(20,40]	2,173	2,024	362	17.89
(40,60]	214	207	35	16.91
(60,80]	33	31	4	12.9
(80,100]	13	9	0	0
Total	18,774	17,774	3,438	19.34
Proteome
[0,20]	20,612	19,536	4,429	22.67
(20,40]	9,130	8,618	2,658	30.84
(40,60]	3,250	3,073	1,154	37.55
(60,80]	712	675	237	35.11
(80,100]	165	152	20	13.16
Total	33,869	32,010	8,468	26.45

For each data set, the *total number of transcripts encoding proteins and the ^†number of unique protein sequences encoded by transcripts are given. ^‡A match occurs when a transcript of a protein sequence matches an mRNA targeted by a miRNA. ^§The percentage calculations are described in the Materials and methods. Values according to the category of disorder (Figures 1c, 2c) and the percentages of disordered residues (Figure 3c) are given.

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