Table S2. Number of samples, detected genes and significant genes in the post-mortem human brain samples (PDF 181 kb
Table S5. List of circRNAs associated with age of death at an FDRâ<â0.05. (XLSX 30 kb
Sequencing depth of all the RNA-Seq samples. a Read count of all samples. b Mapping percentage of al...
Visualization of the results of differential expression analysis for four pairs of brain regions wit...
Table S5. Top 10 up- and downregulated genes in lesion types vs control WM (PDF 262 kb
Table S1. Clinical and demographic data of the MS patients and non-neurological disease controls (PD...
Table S3. Predefined pathways present based on the differentially expressed genes in each lesion typ...
Table S4. Differentially expressed genes related to oxidative stress, hypoxia and metabolic changes ...
Figure S2. Brain lesion prediction from Ingenuity Pathway Analysis (IPA) based on the genes with log...
Sample cohort selected for RNA quality control and neuropathological assessment. The table shows the...
Table S1. Sequencing and mapping statistics. Listed are the sequencing details and mapping statistic...
Gene expression profiling of frontal lobe subcortical white matter. Table listing 24 genes profiled ...
Average expression of invariable genes in 4 GTEx brains. Shows the variation of 200 invariable genes...
List of Taqman self-designed primers and probes used to study EBV gene expression. The table lists t...
Table S1: Donor and sample information. Table S2: Differential gene expression analysis total tissue...
Recently, the introduction of RNA profiling using microarray technology has helped to elucidate gene...
Table S5. List of circRNAs associated with age of death at an FDRâ<â0.05. (XLSX 30 kb
Sequencing depth of all the RNA-Seq samples. a Read count of all samples. b Mapping percentage of al...
Visualization of the results of differential expression analysis for four pairs of brain regions wit...
Table S5. Top 10 up- and downregulated genes in lesion types vs control WM (PDF 262 kb
Table S1. Clinical and demographic data of the MS patients and non-neurological disease controls (PD...
Table S3. Predefined pathways present based on the differentially expressed genes in each lesion typ...
Table S4. Differentially expressed genes related to oxidative stress, hypoxia and metabolic changes ...
Figure S2. Brain lesion prediction from Ingenuity Pathway Analysis (IPA) based on the genes with log...
Sample cohort selected for RNA quality control and neuropathological assessment. The table shows the...
Table S1. Sequencing and mapping statistics. Listed are the sequencing details and mapping statistic...
Gene expression profiling of frontal lobe subcortical white matter. Table listing 24 genes profiled ...
Average expression of invariable genes in 4 GTEx brains. Shows the variation of 200 invariable genes...
List of Taqman self-designed primers and probes used to study EBV gene expression. The table lists t...
Table S1: Donor and sample information. Table S2: Differential gene expression analysis total tissue...
Recently, the introduction of RNA profiling using microarray technology has helped to elucidate gene...
Table S5. List of circRNAs associated with age of death at an FDRâ<â0.05. (XLSX 30 kb
Sequencing depth of all the RNA-Seq samples. a Read count of all samples. b Mapping percentage of al...
Visualization of the results of differential expression analysis for four pairs of brain regions wit...
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