. Author manuscript; available in PMC: 2024 Feb 1.

Published in final edited form as: J Genet Genomics. 2022 Nov 9;50(2):108–121. doi: 10.1016/j.jgg.2022.10.003

Table 2.

Differential Expression of miRNA Target Genes in Single-cell Data.

miRNA	Cell-type	Number of target genes present in single cell expression data	Percentage changing in predicted direction	P-value¹

miR-21a-3p	Neuron	20	65%	0.180
	Astrocyte	22	64%	0.201
	qNSC	20	60%	0.371
	aNSC1	25	72%	*0.028*
	aNSC2	22	86%	*0.001*
	MFOL	28	61%	0.257
	MOL	24	75%	*0.014*
	Microglia	25	80%	*0.003*
	Pericyte	21	76%	*0.016*
	Vascular Endothelium	16	81%	*0.012*
miR-338	Astrocyte	20	70%	0.074
	Vascular Endothelium	14	71%	0.109
miR-99a	aNSC1	4	25%	N.D.
	aNSC2	2	100%	N.D.
	Astrocyte	1	100%	N.D.
	MFOL	2	50%	N.D.
	Microglia	1	100%	N.D.
	Neuron	2	50%	N.D.
	qNSC	1	100%	N.D.
	Vascular Endothelium	2	50%	N.D.
miR-582	aNSC1	1	100%	N.D.
	Vascular Endothelium	1	100%	N.D.
	Pericyte	1	100%	N.D.
miR-1943	Neuron	1	0%	N.D.

Average			72%	2.9 × 10⁻¹²

Note: miRNAs that have experimentally validated target genes in TarBase are shown in column 1. Column 2 indicates the cell-types that show differential expression of the target genes in the single-cell sequencing dataset. Column 3 indicates the number of target genes that are differentially expressed in each cell type in the single-cell sequencing dataset. Column 4 indicates the percentage of target genes that change in the predicted direction given the change in pri-miRNA expression in the single nucleus dataset. Column 5 indicates the P-value for each cell type and each miRNA.

Chi-squared test. Significant values are bolded. Significance was not determined (N.D.) for cell types containing less than 5 predicted targets. P = 2.9 × 10⁻¹², Chi-squared test, for the combination of all cell types and miRNAs.