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. 2017 Mar 9;9(3):823–851. doi: 10.18632/aging.101195

Amyotrophic lateral sclerosis, gene deregulation in the anterior horn of the spinal cord and frontal cortex area 8: implications in frontotemporal lobar degeneration

Pol Andrés-Benito 1, Jesús Moreno 1, Ester Aso 1, Mónica Povedano 2, Isidro Ferrer 1,3,4,5
PMCID: PMC5391234  PMID: 28283675

Abstract

Transcriptome arrays identifies 747 genes differentially expressed in the anterior horn of the spinal cord and 2,300 genes differentially expressed in frontal cortex area 8 in a single group of typical sALS cases without frontotemporal dementia compared with age-matched controls. Main up-regulated clusters in the anterior horn are related to inflammation and apoptosis; down-regulated clusters are linked to axoneme structures and protein synthesis. In contrast, up-regulated gene clusters in frontal cortex area 8 involve neurotransmission, synaptic proteins and vesicle trafficking, whereas main down-regulated genes cluster into oligodendrocyte function and myelin-related proteins. RT-qPCR validates the expression of 58 of 66 assessed genes from different clusters. The present results: a. reveal regional differences in de-regulated gene expression between the anterior horn of the spinal cord and frontal cortex area 8 in the same individuals suffering from sALS; b. validate and extend our knowledge about the complexity of the inflammatory response in the anterior horn of the spinal cord; and c. identify for the first time extensive gene up-regulation of neurotransmission and synaptic-related genes, together with significant down-regulation of oligodendrocyte- and myelin-related genes, as important contributors to the pathogenesis of frontal cortex alterations in the sALS/frontotemporal lobar degeneration spectrum complex at stages with no apparent cognitive impairment.

Keywords: amyotrophic lateral sclerosis, frontal cortex, spinal cord, frontotemporal lobar degeneration, excitotoxicity, neuroinflammation

INTRODUCTION

Amyotrophic lateral sclerosis (ALS) is a progressive age-dependent neurodegenerative disease characterized by degeneration and death of upper (motor cortex) and lower (brain stem and spinal cord) motor neurons, resulting in muscle atrophy, together with variable frontotemporal lobar degeneration (FTLD). ALS may be sporadic (sALS) with unknown cause, in up to 90%-92% of cases, or inherited (fALS), accounting for about 8-10% of cases, most of them transmitted as autosomal dominant but also recessive and X-linked in some families. However, about 13% of sALS cases bear a gene mutation linked to fALS. Main pathological features in sALS are loss of myelin and axons in the pyramidal tracts and anterior spinal roots, chromatolysis of motor neurons, axonal spheroids in the anterior horn, cystatin C-containing Bunina bodies in motor neurons, ubiquitin-immunoreactive TDP-43-positive skein-like and spherical inclusions in motor neurons, and TDP-43 inclusions in oligodendroglial cells. In many cases, the frontal cortex shows cytoplasmic TDP-43-immuno-reactive intracytoplasmic inclusions in neurons and oligodendocytes, and neuropil threads. Neuron loss and spongiosis in the upper cortical layers are usually restricted to cases with severe cognitive impairment and frontotemporal dementia [1, 2].

Several mechanisms have been proposed as contributory factors in the pathogenesis of motor neuron damage in sALS including excitoxicity, mitochondrial and energy metabolism failure, oxidative stress damage, altered glial cells, inflammation, cytoskeletal ab-normalities, alterations in RNA metabolism, and altered TDP-43 metabolism, among others [3-16]. Increased understanding on the pathogenesis of sALS has emerged from the use of transcriptome analysis of the spinal cord and motor cortex [17-26]. Previous transcriptomic studies center in the spinal cord and motor cortex in separate groups of patients, cover a limited number of cases, identify and validate a few genes not coincidental among the different studies. Selection of the sample may account for these differences. Further microarray studies carried out on isolated motor neurons of the spinal cord obtained by laser micro-dissection in sALS cases have revealed up-regulation of genes associated with cell signalling and cell death and down-regulation of genes linked to transcription and composition of the cytoskeleton [27]. Curiously, similar studies performed on samples from individuals bearing mutations linked to ALS show different regulated transcripts, thus suggesting gene expression variants in the spinal cord in fALS [28, 29].

Importantly, no gene expression analyses are available in the frontal cortex area 8 in sALS in spite that frontal alterations are common in this disease. Moreover, ALS and FTLD with TDP inclusions (FTLD-TDP) are within the same disease spectrum [1].

The present study analyzes gene expression in the anterior horn of the spinal cord and frontal cortex area 8 in a series of 18 sALS cases and 23 controls. The main goals of the present study are to analyze and compare gene expression in these two regions, and more specifically to identify altered gene expression and clusters with specific functions in the anterior horn and frontal cortex area 8. Thus, the present study focuses on the pathogenesis of motor neuron damage responsible of altered motor function, and frontal cortex at preclinical stages of cognitive impairment.

RESULTS

Microarray analysis

Cofactors age and gender were not relevant for the analysis. 9,563 gene sequences were detected across all samples. Heat map indicates differences in transcripts expression levels between control and ALS cases in the anterior cord of the spinal cord and in frontal cortex area 8 (Figure 1). We identified 747 genes differentially expressed with p-value lower than or equal to 0.05 in the anterior horn of the spinal cord (up: 507 and down: 240) and 2,300 genes differentially expressed in the frontal cortex area 8 (up: 1,409 and down: 891) in sALS (Figure 1).

Figure 1.

Figure 1

(A) Total number of significantly different expressed genes comparing transcriptomic profiles between groups and regions. (B) Hierarchical clustering heat map of expression intensities of mRNA array transcripts reflect differential gene expression profiles in the anterior horn of the spinal cord and frontal cortex area 8 in ALS compared with controls. Differences between groups are considered statistically significant at p-value ≤ 0.05. Abbreviations: ALS: amyotrophic lateral sclerosis; FC: frontal cortex area 8; mRNA: messenger RNA; SP: anterior horn of the spinal cord lumbar level

Supplementary Tables 1 and 2 identify all de-regulated genes. Post-analysis microarray data of differentially ex-pressed genes assessed with enrichment analysis against Go Ontology database are shown in Tables 1 and 2.

Table 1. Main significant clusters of altered genes in spinal cord of ALS samples.

Cluster Gene names Size Count Odds Ratio p-value Deregulation
Activation of blood coagulation via clotting cascade F3, ANO6 2 2 Inf 0.000574 Up
Antigen processing and presentation of exogenous peptide antigen CTSS, FCER1G, FCGR1A, HLA-A, HLA-B, HLA-C, HLA-DMA, HLA-DMB, HLA-DQA1, HLA-DQA2, HLA-DQB1, HLA-DQB2, HLA-DRB1, HLA-DRB5, HLA-F, HLA-G, NCF2, PSMB8, PSMB9, PSMD5, TAP1, IFI30 165 22 6.58 6.84e-11 Up
Antigen processing and presentation of exogenous peptide antigen via MHC class I CTSS, FCER1G, FCGR1A, HLA-A, HLA-B, HLA-C, HLA-F, HLA-G, NCF2, PSMB8, PSMB9, PSMD5, TAP1, IFI30 75 14 9.66 2.45e-09 Up
Antigen processing and presentation of exogenous peptide antigen via MHC class I, TAP-independent CTSS, HLA-A, HLA-B, HLA-C, HLA-F, HLA-G 9 6 82.7 1.45e-08 Up
Antigen processing and presentation of exogenous peptide antigen via MHC class II CTSS, FCER1G, HLA-DMA, HLA-DMB, HLA-DQA1, HLA-DQA2, HLA-DQB1, HLA-DQB2, HLA-DRB1, HLA-DRB5, IFI30 92 11 5.66 1.24e-05 Up
Antigen processing and presentation of peptide antigen via MHC class I CTSS, FCER1G, FCGR1A, HLA-A, HLA-B, HLA-C, HLA-F, HLA-G, NCF2, PSMB8, PSMB9, PSMD5, TAP1, IFI30 97 14 7.09 7.58e-08 Up
Apoptotic process AHR, APOE, FAS, BCL2A1, BCL6, BMP2, BTK, CAMK2D, CASP1, CASP4, TNFSF8, CDKN1A, CTSC, DAB2, NQO1, ECT2, EDN1, F3, FCER1G, HCK, HGF, HIF1A, HMOX1, ICAM1, IFI16, IL1A, ITGA5, JAK3, LMNB1, LYN, MNDA, MYC, NCF2, NOS3, P2RX4, PLAGL1, PLAUR, PLSCR1, PRLR, PSMB8, PSMB9, PSMD5, PTPN2, CCL2, CCL19, SNAI2, STAT1, TEK, TGFB2, TLR2, TLR3, GPR65, YBX3, NOL3, SOCS3, LY86, IKBKE, CHL1, PPP1R15A, RRM2B, SHISA5, TNFRSF12A, ACSL5, FNIP2, DNASE2B, ZMAT3, NOA1, FGD3, IL33, DEDD2, ANO6 1745 71 1.89 5.22e-06 Up
Apoptotic signaling pathway FAS, BCL2A1, BTK, CASP4, CDKN1A, CTSC, ECT2, HGF, HIF1A, HMOX1, ICAM1, IFI16, IL1A, NOS3, P2RX4, PLAUR, PTPN2, SNAI2, TGFB2, TLR3, YBX3, NOL3, IKBKE, PPP1R15A, RRM2B, SHISA5, TNFRSF12A, ACSL5, FNIP2, FGD3, IL33, DEDD2 596 32 2.43 1.88e-05 Up
Axonemal dynein complex assembly DNAH5, DNAI1, TEKT2, ZMYND10, ARMC4, DNAH7, CCDC114, CCDC151, DNAAF1, CCDC39 21 10 175 8.54e-18 Down
Axoneme DNAH5, DNAH9, SPAG6, DNAI1, DCDC2, HYDIN, CFAP46, ARMC4, MNS1, DNAH7, CFAP74, CCDC114, CCDC151, DNAAF1, CFAP54, DNAH2, SPAG17, CFAP221, CCDC39, RSPH4A 89 20 52.5 1.31e-25 Down
Axoneme assembly DNAH5, DNAI1, TEKT2, ZMYND10, HYDIN, CFAP46, ARMC4, DNAH7, CFAP74, RSPH1, CCDC114, CCDC151, DNAAF1, SPAG17, CCDC39, RSPH4A 42 16 128 5.9e-26 Down
B cell mediated immunity FAS, BCL6, BTK, C1QB, C1QC, C7, FCER1G, HLA-DMA, HLA-DQB1, HLA-DRB1, HLA-DRB5, CFI, IL4R, CD226, TLR8 103 15 7.18 2.28e-08 Up
Cellular protein modification process IL12RB1, INS, KCNE1, MAK, CFP, RASA4, TRAK2, MYLK3, NEK5, C17orf97, PPIAL4A 3527 11 0.473 0.00885 Down
Cellular response to interferon-gamma CAMK2D, EDN1, FCGR1A, GBP1, HCK, HLA-A, HLA-B, HLA-C, HLA-DQA1, HLA-DQA2, HLA-DQB1, HLA-DQB2, HLA-DRB1, HLA-DRB5, HLA-F, HLA-G, ICAM1, IRF8, OAS2, PTPN2, CCL2, CCL19, STAT1, SOCS3, IFI30, TRIM38, TRIM5 126 27 11.9 1.95e-18 Up
Clathrin-coated endocytic vesicle membrane FCGR1A, HLA-DQA1, HLA-DQA2, HLA-DQB1, HLA-DQB2, HLA-DRB1, HLA-DRB5 49 7 7.32 0.000108 Up
Copper ion import ATP7B, SLC31A1, STEAP4 7 3 30.7 0.000446 Up
Cytokine production involved in immune response BCL6, BTK, FCER1G, HLA-A, HMOX1, JAK3, SLC11A1, TEK, TGFB2, TLR2, TLR3, TREM1 69 12 8,81 7,87E-08 Up
Endolysosome membrane TLR3, TLR7, TLR8 4 3 131 4.51e-05 Up
Fc receptor mediated stimulatory signaling pathway FCER1G, FCGR1A, FCGR2A, FGR, HCK, ITPR3, LYN, PLSCR1, CD226, MYO1G 77 10 6.21 1.47e-05 Up
Humoral immune response mediated by circulating immunoglobulin C1QB, C1QC, C7, HLA-DQB1, HLA-DRB1, HLA-DRB5, CFI 46 7 7.42 0.000103 Up
Igg binding FCER1G, FCGR1A, FCGR2A, FCGR2B 10 4 28.3 5.42e-05 Up
Immunoglobulin production FAS, BCL6, CD37, HLA-DQB1, HLA-DRB1, HLA-DRB5, IL4R, TNFSF13B, POLM, IL33 87 10 5.4 4.34e-05 Up
Inner dynein arm assembly TEKT2, ZMYND10, DNAH7, DNAAF1, CCDC39 10 5 182 1.44e-09 Down
Integral component of lumenal side of endoplasmic reticulum membrane HLA-A, HLA-B, HLA-C, HLA-DQA1, HLA-DQA2, HLA-DQB1, HLA-DQB2, HLA-DRB1, HLA-DRB5, HLA-F, HLA-G 28 11 28.8 1.04e-11 Up
Interferon-alpha production TLR3, NMI, TLR7, TLR8 18 4 11.7 0.000764 Up
Interferon-beta biosynthetic process TLR3, NMI, TLR7, TLR8 8 4 41.1 2.12e-05 Up
Interferon-gamma biosynthetic process TLR3, EBI3, TLR7, TLR8 16 4 13.7 0.000472 Up
Interleukin-10 production FCER1G, HLA-DRB1, HLA-DRB5, JAK3, TLR2, PDCD1LG2 42 6 6.87 0.000463 Up
Intrinsic apoptotic signaling pathway BCL2A1, CASP4, CDKN1A, HIF1A, HMOX1, IFI16, PLAUR, PTPN2, SNAI2, YBX3, NOL3, IKBKE, PPP1R15A, RRM2B, SHISA5, FNIP2 284 16 2.49 0.00143 Up
Macrophage activation IL4R, SLC11A1, TLR1, SBNO2, CD93, TLR7, TLR8, IL33 48 8 8.29 1.66e-05 Up
Mast cell cytokine production BCL6, FCER1G, HMOX1 7 3 30.7 0.000446 Up
MHC class II receptor activity HLA-DQA1, HLA-DQA2, HLA-DQB1, HLA-DQB2, HLA-DRB1 11 5 35.4 2.73e-06 Up
MHC protein complex HLA-A, HLA-B, HLA-C, HLA-DMA, HLA-DMB, HLA-DQA1, HLA-DQA2, HLA-DQB1, HLA-DQB2, HLA-DRB1, HLA-DRB5, HLA-F, HLA-G 25 13 48.4 1.34e-15 Up
Microtubule bundle formation DNAH5, DNAI1, TEKT2, ZMYND10, HYDIN, CFAP46, ARMC4, DNAH7, CFAP74, RSPH1, CCDC114, CCDC151, DNAAF1, SPAG17, CCDC39, RSPH4A 63 16 70.7 1.18e-22 Down
Monocyte chemotaxis CCR1, LYN, CCL2, CCL19, PLA2G7, ANO6 49 6 5.75 0.00107 Up
Outer dynein arm assembly DNAH5, DNAI1, ZMYND10, ARMC4, CCDC114, CCDC151, DNAAF1 11 7 325 5.6e-14 Down
Peptide antigen binding HLA-A, HLA-B, HLA-C, HLA-DQA1, HLA-DQB1, HLA-DRB1, HLA-DRB5, HLA-F, HLA-G, TAP1 26 10 26.9 1.57e-10 Up
Platelet-derived growth factor receptor binding TYMP, ITGA5, ITGB3, LYN 12 4 21.2 0.000123 Up
Positive regulation of Fc receptor mediated stimulatory signaling pathway LYN, CD226 2 2 Inf 0.000574 Up
Positive regulation of interleukin-6 production FCER1G, TLR1, TLR2, TLR3, TLR7, IL33 55 6 5.05 0.00197 Up
Positive regulation of interleukin-8 production TLR2, TLR3, TLR5, TLR7, TLR8 42 5 5.56 0.00318 Up
Positive regulation of tumor necrosis factor production FCER1G, CCL2, CCL19, TLR1, TLR2, TLR3 51 6 5.5 0.00133 Up
Protection from natural killer cell mediated cytotoxicity HLA-A, HLA-B, TAP1 5 3 61.5 0.000132 Up
Regulated secretory pathway ANXA3, FCER1G, FGR, HCK, HMOX1, IL4R, LYN, STX11, CD300A, RAB11FIP2, RAB11FIP1 73 11 7.4 1.23e-06 Up
Regulation of apoptotic process APOE, FAS, BCL2A1, BCL6, BMP2, BTK, CAMK2D, CASP1, CASP4, CDKN1A, CTSC, DAB2, NQO1, ECT2, EDN1, F3, FCER1G, HCK, HGF, HIF1A, HMOX1, ICAM1, IL1A, ITGA5, JAK3, LYN, MNDA, MYC, NCF2, NOS3, PLAUR, PRLR, PSMB8, PSMB9, PSMD5, PTPN2, CCL2, CCL19, SNAI2, STAT1, TEK, TGFB2, TLR3, YBX3, NOL3, SOCS3, CHL1, RRM2B, TNFRSF12A, ACSL5, ZMAT3, FGD3, DEDD2, ANO6 1344 54 1.82 0.000117 Up
Regulation of B cell apoptotic process BCL6, BTK, LYN 16 3 9.45 0.00608 Up
Regulation of coagulation APOE, EDN1, F3, FCER1G, LYN, NOS3, PLAU, PLAUR, THBD, HPSE, ADAMTS18, ANO6 85 12 6.87 8.31e-07 Up
Regulation of cytokine biosynthetic process CD86, HMOX1, IL1A, TLR1, TLR2, TLR3, NMI, EBI3, TLR7, TLR8 93 10 5.01 7.72e-05 Up
Regulation of extrinsic apoptotic signaling pathway FAS, HMOX1, ICAM1, IL1A, NOS3, SNAI2, TGFB2, NOL3, TNFRSF12A, ACSL5, DEDD2 155 11 3.17 0.0013 Up
Regulation of Fc receptor mediated stimulatory signaling pathway LYN, PLSCR1, CD226 5 3 61.5 0.000132 Up
Regulation of hemostasis APOE, EDN1, F3, FCER1G, LYN, NOS3, PLAU, PLAUR, THBD, HPSE, ADAMTS18, ANO6 81 12 7.27 4.87e-07 Up
Regulation of leukocyte apoptotic process BCL6, BTK, FCER1G, HIF1A, JAK3, LYN, CCL19, TGFB2 74 8 5.02 0.000386 Up
Regulation of lipid kinase activity FGR, LYN, CCL19, TEK, NRBF2 47 5 4.89 0.0052 Up
Regulation of mast cell activation FCER1G, FGR, HMOX1, IL4R, LYN, PLSCR1, CD226, CD300A 31 8 14.4 4.96e-07 Up
Regulation of mast cell degranulation FCER1G, FGR, HMOX1, IL4R, LYN, CD300A 24 6 13.8 1.71e-05 Up
Regulation of microtubule movement DNAH11, ARMC4, DNAAF1, CCDC39 18 4 51.3 3.03e-06 Down
Regulation of natural killer cell mediated immunity HLA-A, HLA-B, PVR, TAP1, CD226 27 5 9.36 0.000405 Up
Regulation of protein metabolic process FOXJ1, INS, CFP, RASA4, NEK5, DTHD1 2448 6 0.381 0.00803 Down
Regulation of protein modification process INS, RASA4 1641 2 0.192 0.00288 Down
Regulation of T-helper 1 cell differentiation HLX, IL4R, JAK3, CCL19 9 4 32.9 3.74e-05 Up
T cell costimulation CD86, HLA-DQA1, HLA-DQA2, HLA-DQB1, HLA-DQB2, HLA-DRB1, HLA-DRB5, LYN, CCL19, TNFSF13B, PDCD1LG2 71 11 7.65 9.25e-07 Up
TAP binding HLA-A, HLA-B, HLA-C, HLA-F, TAP1 7 5 106 1.34e-07 Up
T-helper 2 cell differentiation BCL6, CD86, HLX, IL4R 14 4 16.4 0.00027 Up

Table 2. Main significant clusters of altered genes in frontal cortex of ALS samples.

Cluster Gene names Size Count Odds Ratio p-value Deregulation
Adenylate cyclase-inhibiting G-protein coupled receptor signaling pathway ADCY1, CHRM1, CHRM3, GNAI3, MCHR1, GRM8, HTR1B, HTR1E, HTR1F, NPY1R, OPRK1, OPRM1, SSTR2 64 13 3.79 0.000164 Up
Astrocyte differentiation ABL1, MAG, NKX2-2, NOTCH1, POU3F2, S100B, TAL1, CNTN2, SOX8 53 9 5.12 0.000184 Down
Axolemma KCNC1, KCNC2, KCNH1, ROBO2, SLC1A2 14 5 8.26 0.00124 Up
Axon DAGLA, CAMK2D, CCK, CHRM1, CHRM3, AP1S1, CTNNA2, DLG4, DRD1, EPHA4, PTK2B, FGF13, GAP43, GARS, GRIA1, GRIK5, GRIN2A, HTR2A, KCNB1, KCNC1, KCNC2, KCNH1, KCNK2, KCNMA1, KCNQ2, KCNQ3, MYH10, NPY1R, NRCAM, NRGN, OPRK1, PAK1, PFN2, MAP2K1, PTPRN2, ROBO2, SCN1A, SCN1B, SCN2A, SCN8A, CCL2, SLC1A2, SNCA, STXBP1, SYN1, KCNAB1, FZD3, GLRA3, PRSS12, CNTNAP1, KCNAB2, NRP1, CDK5R1, BSN, SYT7, SYNGR1, DGKI, NRXN1, HOMER1, KATNB1, SEMA3A, OLFM1, SLC9A6, CPLX1, AAK1, ADGRL1, TPX2, UNC13A, MYCBP2, NCS1, PACSIN1, STMN3, SEPT11, SLC17A7, TBC1D24, NDEL1, LMTK3, MTPN, CNTN4, LRRTM1, HCN1 358 81 4.6 1.68e-24 Up
Axon extension BMPR2, NRCAM, PPP3CB, SLIT1, CDKL5, NRP1, CDK5R1, LHX2, SEMA3A, OLFM1, SLC9A6, BCL11A, ISLR2, NDEL1 91 14 2.7 0.00176 Up
Axon hillock CCK, TPX2, NDEL1 7 3 11.1 0.00729 Up
Cadherin binding CDH13, CTNNA2, TRPC4, CDK5R1, AKAP5, MMP24, PTPRT 29 7 4.81 0.00167 Up
Calcineurin complex ITPR1, PPP3CA, PPP3CB, PPP3R1 4 4 Inf 1.59e-05 Up
Calcium channel regulator activity CACNB2, FKBP1B, ITPR1, PRKCB, STX1A, NRXN1, TSPAN13, HPCAL4, CACNA2D3 36 9 5.05 0.000281 Up
Calcium ion-dependent exocytosis of neurotransmitter CACNA1A, SYT1, SYT5, DOC2A, SYT7, RIMS2, RAB3GAP1, RIMS1, SYT13, SYT12 28 10 8.25 4.76e-06 Up
Calmodulin binding ADCY1, ADD2, ATP2B1, ATP2B2, CACNA1C, CAMK4, CAMK2A, CAMK2B, CAMK2D, GAP43, ITPKA, KCNH1, KCNN1, KCNQ3, MAP2, MYH10, MYO5A, NOS2, NRGN, PDE1B, PPP3CA, PPP3CB, PPP3R1, RGS4, RIT2, RYR2, SLC8A2, SLC8A1, AKAP5, CAMKK2, ARPP21, PLCB1, KCNH5, CAMK1D, CAMK1G, CAMKV, CAMKK1, PNCK, CFAP221, RIIAD1 176 40 4.57 5.38e-13 Up
Calmodulin-dependent protein kinase activity CAMK4, CAMK2A, CAMK2B, CAMK2D, PTK2B, ITPKA, CAMKK2, CAMK1D, CAMK1G, CAMKK1, PNCK 32 11 7.95 2.02e-06 Up
Camp binding PDE2A, PDE4A, PRKAR1B, PRKAR2B, RAPGEF2, RAPGEF4, HCN1 24 7 6.23 0.000487 Up
Central nervous system neuron axonogenesis EPHA4, SCN1B, NR2E1, MYCBP2, PRDM8, ARHGEF28, NDEL1 29 7 4.71 0.00187 Up
Chloride channel activity CLIC2, GABRA1, GABRA2, GABRA3, GABRA4, GABRA5, GABRB2, GABRB3, GABRD, GABRG3, GLRB, SLC26A4, GLRA3, SLC17A7, SLC26A8, ANO5 78 16 3.93 2.05e-05 Up
Clathrin binding SYT1, SYT5, DOC2A, SYT7, SNAP91, HMP19, SYTL2, CEMIP, SYT13, SMAP1, SYT16, SYT12 56 12 4.14 0.000141 Up
Compact myelin MAG, SIRT2, JAM3 12 3 8.38 0.00957 Down
Cyclin-dependent protein serine/threonine kinase activity CDK14, CDKL5, CDKL1, CDK5R1, CDKL2, CDK20 29 6 3.94 0.008 Up
Cytoskeleton of presynaptic active zone BSN, PCLO 2 2 Inf 0.004 Up
Dendrite BMPR2, CACNA1A, CACNA1B, CACNA1C, CCK, CHRM1, CHRM3, CRMP1, DLG3, DLG4, DRD1, EPHA4, EPHA7, PTK2B, FGF13, GABRA5, GRIA1, GRIA2, GRIA3, GRIK5, GRIN2A, GRM1, GRM5, HTR2A, ITPKA, KCNB1, KCNC1, KCNC2, KCND3, KCNH1, KCNJ4, KCNQ3, MAP2, MYH10, NELL2, NRGN, OPRK1, PAK1, PRKAR2B, PRKCG, MAP2K1, RARA, RGS7, SCN8A, CCL2, SLC8A1, CDKL5, SYN1, KCNAB1, FZD3, PRSS12, CDK5R1, BSN, NEURL1, DGKI, HOMER1, CABP1, AKAP5, ARHGAP32, FRMPD4, SEMA3A, BAIAP2, SLC9A6, ARFGEF2, CHL1, PLK2, CPLX1, LZTS1, CPEB3, NCS1, NSMF, SHANK1, IFT57, SEPT11, ANKS1B, SLC4A10, TENM2, DLGAP3, JPH4, PPP1R9B, SHANK3, LMTK3, GRIN3A, SNAP47, CNIH2, HCN1 406 86 4.24 7.25e-24 Up
Dendrite development ADGRB3, CACNA1A, CAMK2B, CTNNA2, DLG4, EPHA4, HPRT1, ITPKA, MAP2, MEF2C, PAK1, PAK3, PPP3CA, CDKL5, NR2E1, NRP1, CDK5R1, NEURL1, AKAP5, RAPGEF2, KIAA0319, SEMA3A, BAIAP2, SLC9A6, PLK2, CIT, LZTS1, CPEB3, NEDD4L, MAPK8IP2, RBFOX2, NGEF, NSMF, SLITRK5, PACSIN1, SHANK1, DCDC2, BCL11A, FEZF2, CAMK1D, SHANK3, GRIN3A, FMN1 178 43 4.85 1.44e-14 Up
Dendrite extension PARK2, SYT1, RIMS2, SLC9A6, RIMS1, UNC13A, NEDD4L, CPNE5 21 8 9.12 2.53e-05 Up
Dendrite morphogenesis ADGRB3, CACNA1A, CAMK2B, CTNNA2, DLG4, EPHA4, HPRT1, ITPKA, MAP2, PAK3, PPP3CA, CDKL5, NR2E1, CDK5R1, AKAP5, RAPGEF2, SEMA3A, BAIAP2, CIT, LZTS1, NEDD4L, MAPK8IP2, RBFOX2, NGEF, NSMF, SLITRK5, SHANK1, DCDC2, SHANK3, FMN1 109 30 5.73 4E-12 Up
Dendritic shaft CACNA1C, DLG3, DRD1, GRM5, HTR2A, MAP2, PRKAR2B, SLC8A1, HOMER1, AKAP5, LZTS1, JPH4, CNIH2 37 13 8.11 2.07e-07 Up
Dendritic spine development CAMK2B, DLG4, EPHA4, ITPKA, MEF2C, PAK1, PAK3, CDK5R1, NEURL1, BAIAP2, SLC9A6, PLK2, CPEB3, NGEF, SHANK1, SHANK3 58 16 5.68 4.06e-07 Up
Dendritic spine membrane ATP2B1, GRIA1, ITGA8, AKAP5, DDN 9 5 18.6 0.000102 Up
DNA metabolic process BMPR2, CDKN2D, CIDEA, DACH1, HGF, IGF1, KCNK2, KPNA2, MAS1, KITLG, ORC4, PAK3, PIK3CA, PRKCG, CHAF1B, CDC7, NPM2, PPARGC1A, PARM1, CHD5, UBE2W, FBXW7, TSPYL2, BCL11B, SLF1, TBRG1, MAEL, XRCC6BP1, ZBED9, KLHDC3, STOX1, KIAA2022 867 32 0.549 0.000264 Up
Ensheathment of neurons MYRF, LPAR1, KCNJ10, KEL, MAG, MAL, NGFR, CLDN11, PMP22, POU3F2, KLK6, CNTN2, QKI, ARHGEF10, OLIG2, NDRG1, SIRT2, PARD3, FA2H, SH3TC2, JAM3, NKX6-2, SERINC5 101 23 7.53 4.57e-12 Down
Excitatory postsynaptic potential DLG4, PTK2B, GRIK5, GRIN2A, GRIN2B, MEF2C, PPP3CA, SNCA, STX1A, DGKI, NRXN1, RIMS2, RAB3GAP1, RIMS1, MAPK8IP2, SHANK1, CELF4, SLC17A7, NETO1, SHANK3 50 20 9.99 7.46e-12 Up
GABA receptor activity GABRA1, GABRA2, GABRA3, GABRA4, GABRA5, GABRB2, GABRB3, GABRD, GABRG3, GABBR2 22 10 12.6 2.77e-07 Up
GABA receptor binding GABRA5, AKAP5, ARFGEF2, JAKMIP1 14 4 6.03 0.0091 Up
Glial cell development MYRF, GSN, KCNJ10, NKX2-2, POU3F2, CNTN2, ARHGEF10, NDRG1, SIRT2, PHGDH, PARD3, FA2H, SH3TC2, NKX6-2 71 14 6.19 4.84e-07 Down
Glutamate receptor activity PTK2B, GRIA1, GRIA2, GRIA3, GRIK5, GRIN2A, GRIN2B, GRM1, GRM5, GRM8, GRIN3A 27 11 10.4 2.72e-07 Up
Innervation GABRA5, GABRB2, GABRB3, PRKCG, NRP1, SEMA3A, UNC13A 23 7 6.47 0.000412 Up
Inositol phosphate metabolic process PTK2B, ITPKA, MAS1, OCRL, SNCA, INPP4B, SYNJ1, PPIP5K1, PLCH1, PLCB1, NUDT11 65 11 3.02 0.00247 Up
Ionotropic glutamate receptor activity PTK2B, GRIA1, GRIA2, GRIA3, GRIK5, GRIN2A, GRIN2B, GRIN3A 19 8 11 9.08e-06 Up
JNK cascade ADORA2B, EPHA4, PTK2B, FGF14, MAP3K9, MAP3K10, GADD45B, PAK1, PARK2, MAPK9, CCL19, MAP2K4, MAP3K6, RB1CC1, RASGRP1, PLCB1, MAPK8IP2, KIAA1804, DUSP19, ZNF675, MAGI3 185 21 1.9 0.00716 Up
Lipid binding ABCA1, ANXA5, APOD, AR, C3, LPAR1, HSD17B10, HIP1, HSPA2, KCNJ2, MAL, MYO1E, NPC1, P2RX7, PLD1, PTGS1, SELL, SNX1, ACOX2, IQGAP1, HIP1R, CYTH1, STARD3, FNBP1, RASGRP3, LDLRAP1, GLTP, ANKFY1, PXK, ADAP2, PARD3, PREX1, WDFY4, PLEKHF1, PRAM1, PAQR8, MVB12B, SNX29, SYTL4, ARAP1, FRMPD2, AMER2, NCF1C, C8orf44-SGK3 601 44 2.07 2.63e-05 Down
Mrna processing LGALS3, CELF2, PPARGC1A, CELF3, CPEB3, RBFOX2, RBFOX1, MTPAP, CELF4, CELF5, SRRM4, LSM11, RBFOX3 417 13 0.466 0.00202 Up
Myelin maintenance MYRF, NDRG1, FA2H, SH3TC2 11 4 14.2 0.000601 Down
Myelin sheath CA2, CNP, CRYAB, GSN, HSPA2, MAG, MOBP, MOG, MYO1D, CLDN11, RDX, CNTN2, NDRG1, SIRT2, PHGDH, GJC2, ERMN, MYH14, JAM3, SERINC5 156 20 3.77 2.29e-06 Down
Myelination MYRF, LPAR1, KCNJ10, KEL, MAG, MAL, NGFR, PMP22, POU3F2, KLK6, CNTN2, QKI, ARHGEF10, OLIG2, NDRG1, SIRT2, PARD3, FA2H, SH3TC2, JAM3, NKX6-2, SERINC5 98 22 7.38 1.81e-11 Down
Negative regulation of neuron apoptotic process CACNA1A, PTK2B, GABRA5, GABRB2, GABRB3, MEF2C, PARK2, PIK3CA, PRKCG, CCL2, SNCB, SNCA, STAR, STXBP1, NRP1, CHL1, PPARGC1A, OXR1, AGAP2 128 19 2.59 0.000465 Up
Negative regulation of transcription, DNA-templated ARNTL, RUNX1T1, CRYM, CYP1B1, DACH1, FGF9, FOXG1, H2AFZ, MEF2C, MAP3K10, TRIM37, PDE2A, RARA, RORB, SATB1, SNCA, SOX5, TBX15, THRB, NR2E1, WNT10B, CDK5R1, LRRFIP1, ZBTB33, BASP1, ZBTB18, KLF12, CPEB3, PLCB1, SATB2, NEDD4L, SIRT5, RBFOX2, ATAD2, TAGLN3, BCL11A, FEZF2, SMYD2, PRDM8, TENM2, MTA3, SCRT1, MAEL, PRICKLE1, EID2, ARX, ZNF675, KCTD1 1135 48 0.632 0.00083 Up
Neuron apoptotic process CACNA1A, EPHA7, PTK2B, GABRA5, GABRB2, GABRB3, GRIK5, KCNB1, MEF2C, PAK3, PARK2, PIK3CA, PRKCG, SCN2A, CCL2, SNCB, SNCA, STAR, STXBP1, NRP1, CDK5R1, CHL1, PPARGC1A, NSMF, OXR1, FBXW7, AGAP2, SDIM1 206 28 2.35 0.000117 Up
Neuron spine DLG4, DRD1, EPHA4, GRIA1, GRM5, ITPKA, MYH10, NRGN, PRKAR2B, SLC8A1, CDK5R1, NEURL1, DGKI, AKAP5, ARHGAP32, FRMPD4, BAIAP2, SLC9A6, ARFGEF2, LZTS1, SHANK1, SEPT11, ANKS1B, TENM2, DLGAP3, PPP1R9B, SHANK3, CNIH2 104 28 5.57 3.28e-11 Up
Neuronal postsynaptic density ADD2, ATP1A1, BMPR2, CAMK2A, CAMK2B, CTNNA2, DLG4, DMTN, GAP43, GRIN2B, MAP2, PAK1, PRKCG, BSN, DGKI, DLGAP1, HOMER1, BAIAP2, CAP2, CNKSR2, CLSTN1, MAPK8IP2, SHANK1, CLSTN2, SHANK3 64 25 9.69 3.02e-14 Up
Neuron-neuron synaptic transmission CA7, CACNA1A, CACNB4, CAMK4, DRD1, PTK2B, GABRA1, GABRB2, GLRB, GRIA1, GRIA2, GRIA3, GRIK5, GRIN2A, GRM1, GRM5, GRM8, HRH2, HTR1B, HTR2A, MEF2C, NPY5R, PAK1, PARK2, PRKCE, PTGS2, SNCA, STXBP1, SYT1, GLRA3, DGKI, DLGAP2, NRXN1, RAB3GAP1, UNC13A, MAPK8IP2, RASD2, TMOD2, SHC3, SLC17A7, SHANK3, GRIN3A, CNIH2 136 43 7.06 2.63e-19 Up
Neurotransmitter secretion CACNA1A, CACNA1B, CAMK2A, GAD1, GLS, GRIK5, MEF2C, PAK1, PARK2, PFN2, SLC1A1, SLC1A2, SNCA, STX1A, STXBP1, SYN1, SYN2, SYT1, SYT5, DOC2A, PPFIA4, PPFIA2, PPFIA3, CADPS, LIN7A, SYNJ1, SYT7, DGKI, BZRAP1, NRXN1, RIMS2, RIMS3, CPLX1, HRH3, ADGRL1, RAB3GAP1, RIMS1, UNC13A, PCLO, SYTL2, SLC17A7, SYT13, SYT16, SYT12, CADPS2, SNAP47 154 46 6.52 1.93e-19 Up
Node of Ranvier KCNQ2, KCNQ3, SCN1A, SCN1B, SCN2A, SCN8A 15 6 9.92 0.000193 Up
Nucleic acid metabolic process ABCA2, ABL1, PARP4, AR, ATM, BMP8B, MYRF, CAPN3, CAT, CBFB, CCNA2, CDKN1C, CENPB, ELF1, EYA4, ERF, FGF1, FGFR2, GDF1, HSD17B10, HDAC1, HIP1, HOXA1, HOXA2, HOXA5, HOXB2, HOXB5, HOXD1, HOXD3, HSPA1A, FOXN2, JUP, SMAD5, SMAD9, MCM7, MEIS1, CIITA, FOXO4, NKX2-2, NOTCH1, YBX1, PBX3, PDE8A, ENPP2, POLR2L, POU3F2, PSEN1, RNH1, RPLP0, RPS5, RXRG, SALL1, SGK1, SOX10, SREBF1, STAT2, SYK, TAL1, TCF12, TRAF1, TRPS1, ZNF3, ZNF69, VEZF1, FZD5, ARHGEF5, HIST1H2AC, HIST1H3E, HIST1H4H, HIST1H4B, RNASET2, CCNE2, QKI, LITAF, ST18, ZNF536, DDX39A, OLIG2, HMG20B, SEMA4D, TXNIP, DMRT2, TCFL5, ATF7, IKZF2, ZNF652, SIRT2, SAMD4A, KANK1, HEY2, BAMBI, ZNF521, ZBTB20, GREM1, CECR2, HIPK2, KLF15, BAZ2B, SLC40A1, SOX8, ZBTB7B, RRNAD1, KLF3, DDIT4, ZNF280D, TRIM62, CHD7, SLF2, ZNF83, SLC2A4RG, OTUD7B, BBX, MAVS, SFMBT2, NCOA5, TP53INP2, ZNF462, ARHGAP22, CREB3L2, CRTC3, TRAK2, BHLHE41, DBF4B, TSC22D4, NKX6-2, ZBTB37, LOXL3, OLIG1, ZSWIM7, GABPB2, CC2D1B, ZBTB12, ZNF844, ZNF326, FRYL, C9orf142, ZNF710, GTF2IRD2B, DBX2, HIST2H4B, ZNF812, TMEM229A, GTF2H2C_2, C8orf44-SGK3 4679 144 0.718 0.000284 Up
Oligodendrocyte development MYRF, GSN, KCNJ10, NKX2-2, CNTN2, FA2H, NKX6-2 32 7 6.99 0.000187 Down
Oligodendrocyte differentiation BOK, MYRF, CNP, GSN, KCNJ10, NKX2-2, NOTCH1, SOX10, CNTN2, OLIG2, SOX8, FA2H, NKX6-2 75 13 5.27 5.64e-06 Down
Phosphatase activity ALPL, ATP1A1, CDKN3, DUSP8, OCRL, PPP2R5D, PPP3CA, PPP3CB, PPP3R1, MAP2K1, PTPN3, PTPN4, PTPRN2, PTPRR, INPP4B, SYNJ1, PPIP5K1, LPPR4, PTPRT, PTP4A3, NT5DC3, PDP1, LPPR3, PTPN5, DUSP19, PPM1L, PPM1J 254 27 1.81 0.00475 Up
Phosphatidylinositol binding HIP1, KCNJ2, MYO1E, PLD1, SNX1, IQGAP1, HIP1R, LDLRAP1, ANKFY1, PXK, ADAP2, PARD3, PLEKHF1, SNX29, ARAP1, FRMPD2, AMER2, NCF1C, C8orf44-SGK3 187 19 2.92 9.82e-05 Down
Phospholipase C-activating G-protein coupled receptor signaling pathway ADRA1B, CCKBR, CHRM1, CHRM3, DRD1, GRM1, GRM5, HRH2, HTR2A, OPRK1, OPRM1, HOMER1, MCHR2 81 13 2.84 0.00172 Up
Phospholipid binding ABCA1, ANXA5, LPAR1, HIP1, KCNJ2, MYO1E, PLD1, SNX1, IQGAP1, HIP1R, LDLRAP1, ANKFY1, PXK, ADAP2, PARD3, PREX1, WDFY4, PLEKHF1, SNX29, SYTL4, ARAP1, FRMPD2, AMER2, NCF1C, C8orf44-SGK3 332 25 2.1 0.000966 Down
Phospholipid translocation ABCA1, P2RX7, ATP10B, ATP11A 20 4 6.21 0.00667 Down
Positive regulation of RNA metabolic process ACVR1B, ARNTL, BMPR2, CAMK4, CAMK2A, CDH13, ETV1, H2AFZ, HGF, IGF1, KRAS, LUM, MEF2C, TRIM37, PPP1R12A, NEUROD2, PARK2, PLAGL1, PPP3CA, PPP3CB, PPP3R1, PRKCB, MAPK9, MAP2K1, RARA, RORB, SOX5, STAT4, THRB, NR2E1, TRAF5, WNT10B, ITGA8, LMO4, LDB2, LHX2, MICAL2, CAMKK2, TBR1, PPARGC1A, MLLT11, CELF3, KLF12, CPEB3, MAPRE3, DDN, PLCB1, SATB2, ATAD2, BCL11A, TESC, FEZF2, FBXW7, DCAF6, CELF4, ARNTL2, ATXN7L3, CAMK1D, MKL2, NEUROD6, BCL11B, CSRNP3, MED12L, RHEBL1, MTPN, SOHLH1 1455 66 0.678 0.0011 Up
Postsynapse ADD2, ATP1A1, BMPR2, CACNA1C, CAMK2A, CAMK2B, CHRM1, CHRM3, CTNNA2, DLG3, DLG4, DRD1, DMTN, EPHA4, EPHA7, PTK2B, GABRA1, GABRA2, GABRA3, GABRA4, GABRA5, GABRB2, GABRB3, GABRD, GABRG3, GAP43, GLRB, GRIA1, GRIA2, GRIA3, GRIK5, GRIN2A, GRIN2B, GRM1, GRM5, ITPKA, ITPR1, KCNB1, KCNC2, KCNJ4, KCNMA1, MAP2, MYH10, NRGN, PAK1, PRKAR2B, PRKCG, SLC8A1, GLRA3, KCNAB2, ITGA8, LIN7A, CDK5R1, BSN, NEURL1, DGKI, DLGAP2, DLGAP1, HOMER1, CABP1, AKAP5, GABBR2, ARHGAP32, FRMPD4, LZTS3, BAIAP2, CAP2, ARFGEF2, LZTS1, CNKSR2, CLSTN1, RIMS1, SYNE1, NCS1, MAPK8IP2, NSMF, PCLO, SHANK1, SEPT11, ANKS1B, TENM2, LRFN2, KCTD16, LRRC7, DLGAP3, CACNG8, CLSTN2, LRRTM4, NETO1, PPP1R9B, SHANK3, CADPS2, GRIN3A, GRASP, CNIH2, LRRTM1, LRRTM3, IQSEC3 341 98 6.47 7.81e-39 Up
Postsynaptic membrane CHRM1, CHRM3, DLG3, DLG4, EPHA4, EPHA7, GABRA1, GABRA2, GABRA3, GABRA4, GABRA5, GABRB2, GABRB3, GABRD, GABRG3, GLRB, GRIA1, GRIA2, GRIA3, GRIK5, GRIN2A, GRIN2B, KCNB1, KCNC2, KCNJ4, KCNMA1, GLRA3, LIN7A, NEURL1, DLGAP2, DLGAP1, HOMER1, CABP1, GABBR2, ARHGAP32, LZTS3, LZTS1, CNKSR2, CLSTN1, SYNE1, NCS1, NSMF, SHANK1, ANKS1B, TENM2, LRFN2, KCTD16, LRRC7, DLGAP3, CACNG8, CLSTN2, LRRTM4, NETO1, SHANK3, CADPS2, GRIN3A, GRASP, CNIH2, LRRTM1, LRRTM3, IQSEC3 197 61 6.98 1.99e-26 Up
Potassium channel activity KCNB1, KCNC1, KCNC2, KCND3, KCNF1, KCNH1, KCNJ3, KCNJ4, KCNJ6, KCNJ9, KCNK2, KCNMA1, KCNN1, KCNQ2, KCNQ3, KCNS1, KCNS2, KCNAB1, KCNAB2, KCNAB3, KCNH4, KCNH3, KCNV1, KCNH5, KCNIP2, KCNQ5, KCNT1, KCNK15, KCNIP4, KCNH7, KCNG3, KCNT2, HCN1 119 33 5.93 1.53e-13 Up
Presynapse DLG4, GABRA2, GRIA1, GRIA2, GRIN2B, ICA1, NPY1R, SNCA, STX1A, SYN1, SYN2, SYT1, SYT5, SLC30A3, FZD3, DOC2A, PPFIA4, PPFIA2, PPFIA3, BSN, SYT7, SYNGR1, DGKI, RIMS2, RIMS3, SV2B, DNM1L, RIMS1, UNC13A, DMXL2, ERC2, PCLO, SVOP, SLC17A7, SYT12, TPRG1L, SYNPR, STXBP5, SCAMP5, SLC6A17, UNC13C 142 41 6.21 5.89e-17 Up
Presynaptic active zone SYN1, FZD3, PPFIA4, PPFIA2, PPFIA3, BSN, DGKI, RIMS2, RIMS3, RIMS1, UNC13A, ERC2, PCLO, SLC17A7, UNC13C 24 15 25 7.23e-13 Up
Protein kinase C-activating G-protein coupled receptor signaling pathway CCK, CHRM1, DGKB, GAP43, GRM1, GRM5, HTR1B, DGKZ, DGKE, DGKI 32 10 6.74 1.85e-05 Up
Protein lipidation ABCA1, ZDHHC9, PIGT, HHATL, ZDHHC14, ZDHHC11, MAP6D1, ATG4C, PIGM, ZDHHC20 84 10 3.38 0.00152 Down
Regulation of axon guidance BMPR2, NRP1, SEMA3A, TBR1, FEZF2 18 5 5.68 0.00441 Up
Regulation of neuron apoptotic process CACNA1A, EPHA7, PTK2B, GABRA5, GABRB2, GABRB3, GRIK5, KCNB1, MEF2C, PAK3, PARK2, PIK3CA, PRKCG, CCL2, SNCB, SNCA, STAR, STXBP1, NRP1, CDK5R1, CHL1, PPARGC1A, NSMF, OXR1, FBXW7, AGAP2 183 26 2.47 9.7e-05 Up
Regulation of neurotransmitter levels DAGLA, CACNA1A, CACNA1B, CAMK2A, DRD1, GABRA2, GAD1, GLS, GRIK5, MEF2C, PAK1, PARK2, PDE1B, PFN2, SLC1A1, SLC1A2, SNCA, STX1A, STXBP1, SYN1, SYN2, SYT1, SYT5, DOC2A, PPFIA4, PPFIA2, PPFIA3, CADPS, LIN7A, SYNJ1, SYT7, DGKI, BZRAP1, NRXN1, RIMS2, RIMS3, CPLX1, HRH3, ADGRL1, RAB3GAP1, RIMS1, UNC13A, PCLO, SYTL2, SLC17A7, SYT13, SYT16, SYT12, CADPS2, SNAP47 192 50 5.4 3.37e-18 Up
Regulation of postsynaptic membrane potential DLG4, PTK2B, FGF14, GABRB3, GRIK5, GRIN2A, GRIN2B, MEF2C, PPP3CA, SNCA, STX1A, DGKI, NRXN1, RIMS2, RAB3GAP1, RIMS1, MAPK8IP2, SHANK1, CELF4, SLC17A7, NETO1, SHANK3 59 22 8.92 3.58e-12 Up
Regulation of synaptic plasticity ATP2B2, CAMK2A, CAMK2B, DLG4, DRD1, PTK2B, FGF14, GRIA1, GRIN2A, GRIN2B, GRM5, HRH2, ITPKA, KCNB1, MEF2C, NEUROD2, NRGN, PAK1, PPP3CB, PTGS2, PTN, SNCA, STAR, STXBP1, NR2E1, PPFIA3, SYNGAP1, SYNGR1, NEURL1, DGKI, RAPGEF2, BAIAP2, PLK2, CPEB3, RAB3GAP1, RIMS1, UNC13A, NSMF, NPTN, JPH3, NETO1, JPH4, SHANK3, SNAP47, CNTN4, LRRTM1 132 46 8.2 1.48e-22 Up
Regulatory region nucleic acid binding ARNTL, ETV1, H2AFZ, HIVEP2, MEF2C, NEUROD2, PLAGL1, RARA, SATB1, SNCA, SOX5, STAT4, TBX15, LMO4, ZBTB33, BASP1, TBR1, KLF12, DDN, BCL11A, FEZF2, ARNTL2, PKNOX2, DMRTC1, NEUROD6, BCL11B, ZNF831, ZNF519, ARX, ZNF675, STOX1, SOHLH1, DMRTC1B 790 33 0.643 0.00634 Down
Release of cytochrome c from mitochondria CCK, IFI6, HGF, IGF1, PARK2, MAPK9, HRK, DNM1L, MLLT11, GGCT 55 10 3.29 0.00222 Up
SNARE binding CACNA1A, STX1A, STXBP1, SYT1, SYT5, DOC2A, NAPG, SYT7, STXBP5L, CPLX1, UNC13A, SYTL2, SYT13, NAPB, SYT16, SYT12, SNAP47, STXBP5 112 18 2.91 0.000188 Up
Sodium channel activity SHROOM2, SCN1A, SCN1B, SCN2A, SCN2B, SCN8A, SCN3B, HCN1 36 8 4.32 0.00141 Up
Synapse ADD2, ATP1A1, ATP2B1, ATP2B2, BMPR2, CACNA1C, CACNB4, CAMK2A, CAMK2B, CAMK2D, CCK, CHRM1, CHRM3, AP1S1, CTNNA2, DLG3, DLG4, DRD1, DMTN, EPHA4, EPHA7, PTK2B, GABRA1, GABRA2, GABRA3, GABRA4, GABRA5, GABRB2, GABRB3, GABRD, GABRG3, GAP43, GLRB, GRIA1, GRIA2, GRIA3, GRIK5, GRIN2A, GRIN2B, GRM1, GRM5, GRM8, ICA1, ITPKA, ITPR1, KCNB1, KCNC2, KCNH1, KCNJ4, KCNMA1, MAP2, MYH10, NPY1R, NRCAM, NRGN, OPRK1, PAK1, PDE2A, PFN2, PRKAR2B, PRKCG, PTPRN2, CCL2, SLC8A1, SNCB, SNCA, STX1A, STXBP1, SYN1, SYN2, SYT1, SYT5, SLC30A3, FZD3, GLRA3, DOC2A, PRSS12, PPFIA4, PPFIA2, KCNAB2, ITGA8, PPFIA3, CADPS, LIN7A, CDK5R1, BSN, WASF1, SYT7, SYNGR1, NEURL1, DGKI, DLGAP2, DLGAP1, NRXN1, HOMER1, CABP1, AKAP5, GABBR2, RAPGEF2, RIMS2, ARHGAP32, FRMPD4, LZTS3, RIMS3, SV2B, DNM1L, OLFM1, BAIAP2, SLC9A6, CAP2, ARFGEF2, CPLX1, LZTS1, AAK1, CPEB3, ADGRL1, CNKSR2, CLSTN1, RIMS1, PDZRN3, UNC13A, NMNAT2, DDN, DMXL2, SYNE1, NCS1, MAPK8IP2, FRRS1L, MYRIP, NSMF, ERC2, CYFIP2, NPTN, PCLO, PACSIN1, SHANK1, NRN1, SVOP, SEPT11, SEPT3, ANKS1B, SLC17A7, TENM2, TBC1D24, LRFN2, KCTD16, LRRC7, DLGAP3, CACNG8, CLSTN2, LRRTM4, NETO1, PPP1R9B, SHANK3, SYT12, CADPS2, PRRT2, GRIN3A, OLFM3, TPRG1L, SYNPR, STXBP5, CBLN4, GRASP, SCAMP5, PHACTR1, CNIH2, LRRTM1, LRRTM3, VWC2, SLC6A17, IQSEC3, UNC13C 658 173 6.11 1.15e-62 Up
Synapse maturation CAMK2B, NEUROD2, NEURL1, NRXN1, ADGRL1, SHANK1 18 6 7.39 0.000626 Up
Synaptic transmission ADCY1, ATP2B2, CA7, CACNA1A, CACNA1B, CACNA1C, CACNB1, CACNB2, CACNB4, CAMK4, CAMK2A, CAMK2B, CAMK2D, CHRM1, CHRM3, DLG3, DLG4, DRD1, EGR3, PTK2B, FGF14, GABRA1, GABRA2, GABRA3, GABRA4, GABRA5, GABRB2, GABRB3, GABRD, GABRG3, GAD1, GLRB, GLS, GNAI3, GRIA1, GRIA2, GRIA3, GRIK5, GRIN2A, GRIN2B, GRM1, GRM5, GRM8, HRH2, HTR1B, HTR1E, HTR1F, HTR2A, ITPKA, KCNB1, KCNC1, KCNC2, KCND3, KCNF1, KCNH1, KCNJ3, KCNJ4, KCNJ6, KCNJ9, KCNK2, KCNMA1, KCNN1, KCNQ2, KCNQ3, KCNS1, KCNS2, KIF5A, MEF2C, MYO5A, NEUROD2, NPY5R, OPRK1, OPRM1, PAK1, PARK2, PFN2, PPP3CA, PPP3CB, PRKCB, PRKCE, PRKCG, PTGS2, PTN, RIT2, SCN1B, SCN2B, CCL2, SLC1A1, SLC1A2, SNCB, SNCA, SSTR2, SSTR4, STAR, 702 184 6.18 1.54e-66 Up
STX1A, STXBP1, SYN1, SYN2, SYT1, SYT5, NR2E1, VIPR1, KCNAB1, GLRA3, DOC2A, PPFIA4, PPFIA2, KCNAB2, PPFIA3, CADPS, LIN7A, SYNGAP1, SYNJ1, BSN, SYT7, SYNGR1, NEURL1, DGKI, KCNAB3, DLGAP2, DLGAP1, BZRAP1, NRXN1, HOMER1, AKAP5, GABBR2, RAPGEF2, RIMS2, RIMS3, SNAP91, CACNG3, BAIAP2, CSPG5, PLK2, CPLX1, HRH3, CPEB3, ADGRL1, CLSTN1, RAB3GAP1, RIMS1, UNC13A, PLCB1, KCNH4, KCNH3, MAPK8IP2, RASD2, NSMF, SLITRK5, KCNV1, NPTN, KCNH5, PCLO, TMOD2, KCNIP2, SHANK1, SHC3, SYTL2, PCDHB13, KCNQ5, CELF4, SLC17A7, JPH3, SYT13, CACNG8, CLSTN2, NETO1, SYT16, CAMKK1, JPH4, PPP1R9B, SHANK3, KCNH7, SYT12, CADPS2, BTBD9, GRIN3A, SNAP47, CNTN4, KCNG3, CNIH2, LRRTM1, HCN1, UNC13C
Synaptic transmission, glutamatergic CACNA1A, CACNB4, DRD1, PTK2B, GRIA1, GRIA2, GRIA3, GRIK5, GRIN2A, GRM1, GRM5, GRM8, HTR1B, HTR2A, MEF2C, PAK1, PARK2, PTGS2, SYT1, DGKI, NRXN1, RAB3GAP1, UNC13A, MAPK8IP2, SHC3, SLC17A7, SHANK3, GRIN3A, CNIH2 78 29 8.94 1.42e-15 Up
Synaptic vesicle exocytosis GRIK5, PFN2, STX1A, STXBP1, SYN1, SYT1, SYT5, DOC2A, CADPS, SYNJ1, SYT7, RIMS3, CPLX1, ADGRL1, RIMS1, UNC13A, PCLO, SYTL2, SYT13, SYT16, SYT12, CADPS2, SNAP47 76 23 6.51 1.59e-10 Up
Synaptic vesicle localization FGF14, GRIK5, PARK2, PFN2, SH3GL2, SNCA, STX1A, STXBP1, SYN1, SYT1, SYT5, AP3B2, DOC2A, CADPS, LIN7A, SYNJ1, SYT7, NRXN1, RIMS3, CPLX1, ADGRL1, RIMS1, UNC13A, PCLO, PACSIN1, SYTL2, SYT13, SYT16, SYT12, CADPS2, BTBD9, SNAP47 120 32 5.49 1.97e-12 Up
Synaptic vesicle membrane ICA1, STX1A, SYN1, SYN2, SYT1, SYT5, SLC30A3, DOC2A, SYT7, SYNGR1, SV2B, DNM1L, DMXL2, SVOP, SLC17A7, SYT12, SYNPR, SCAMP5, SLC6A17 55 19 7.94 4.52e-10 Up
Synaptic vesicle priming STX1A, STXBP1, CADPS, SYNJ1, CADPS2, SNAP47 12 6 14.8 4.34e-05 Up
Synaptic vesicle recycling FGF14, SH3GL2, SNCA, SYT1, SYT5, SYNJ1, PACSIN1, BTBD9 29 8 5.64 0.000338 Up
Synaptic vesicle transport FGF14, GRIK5, PARK2, PFN2, SH3GL2, SNCA, STX1A, STXBP1, SYN1, SYT1, SYT5, AP3B2, DOC2A, CADPS, LIN7A, SYNJ1, SYT7, RIMS3, CPLX1, ADGRL1, RIMS1, UNC13A, PCLO, PACSIN1, SYTL2, SYT13, SYT16, SYT12, CADPS2, BTBD9, SNAP47 116 31 5.51 4.11e-12 Up
Syntaxin binding CACNA1A, STXBP1, SYT1, SYT5, DOC2A, NAPG, SYT7, STXBP5L, CPLX1, UNC13A, SYTL2, SYT13, NAPB, SYT16, SYT12, SNAP47, STXBP5 78 17 4.24 4.82e-06 Up
Terminal bouton CCK, AP1S1, GRIK5, GRIN2A, KCNC2, KCNMA1, PFN2, PTPRN2, SNCA, STXBP1, SYN1, PRSS12, SYT7, SYNGR1, CPLX1, AAK1, TBC1D24 61 17 5.8 1.39e-07 Up

Up-regulated genes in ALS anterior horn of the spinal cord cluster into inflammatory responses, metal ion regu-lation and hemostasis; whereas down-regulated genes cluster into neuronal axonal cytoskeleton and apoptosis.

In contrast, clusters of up-regulated genes were involved in neurotransmission, ion channels and ion transport, synapses, maintenance of axons and dendrites, intracellular signaling and synaptic vesicle mechanisms. The majority of down-regulated genes were encoded for proteins associated with myelin and glial cell regulation (Figure 2).

Figure 2.

Figure 2

Diagram showing de-regulated gene clusters in the anterior horn of the spinal cord (A) and frontal cortex area 8 in ALS (B) as revealed by whole transcriptome arrays.

RT-qPCR validation

Sixty-six genes from different pathways were selected for validation by RT-qPCR.

Inflammatory gene expression in the anterior horn of the spinal cord

No modifications in the expression levels of glial fibrillary acidic protein gene (GFAP) or prostaglandin-endoperoxide synthase 2 gene (PTGS2) occurred in ALS when compared with controls (p=0.31 and p=0.55, respectively). However, expression levels of AIF1 and CD68 were significantly increased in the anterior horn of the spinal cord in ALS (p=0.044 and p=0.00023, respectively). Gene expression of toll-like receptors (TLRs) TLR2, TLR and TLR7 was significantly increased in the spinal cord in ALS cases (p=2.48E-05, p=0.00011 and p=0.00074, respectively), but TLR4 was not (p=0.669). IL1B was up-regulated (p=0.005), but IL6 and IL6ST were not (p=0.26 and p=0.76, respectively). In contrast, the expression of IL10 and its corresponding receptors IL10RA and IL10RB was increased in ALS (p=0.00046, p=0.022 and p=3.23E-05, respectively). TNFA expression was significantly increased whereas a trend was found for TNFRSF1B (p=0.04 and p=0.08, respectively). The expression of CTSC and CTSS was significantly increased in spinal cord in ALS (p=5.82204E-05 and p=0.00014, respectively). Levels of SLC11A1 were also significantly increased in spinal cord of ALS (p=0.014). HLA-DRB1, a protein coding gene for the Major Histocompatibility Complex Class II (MHC-II) DR β1 protein was markedly up-regulated in ALS (p=0.004365).

PDCD1LG2, IFNγ and IL33 were significantly up-regulated in the anterior horn of the spinal cord in ALS (p=0.00153, p=0.03 and p=0.0032, respectively).

Finally, IL8 (interleukin 8) and ITGB4 (integrin subunit beta 4) expression was similar in control and ALS cases (p=0.92 and p=0.40, respectively) (Figure 3).

Figure 3.

Figure 3

mRNA expression levels of selected deregulated genes identified by microarray analysis in the anterior horn of the spinal cord in ALS determined by TaqMan RT-qPCR assays. (A) general glial markers; (B-C) mediators of the inflammatory response; and (D) axolemal components. Up of AIGF1 and CD68, toll-like receptors, cytokines and receptors, chemokines and other mediators of the innate and adaptative inflammatory responses. Axolemal genes, excepting NEFH, which shows a non-significant trend to decrease, are significantly down-regulated. (E) glutamate transporter coding genes. The significance level is set at * p < 0.05, ** p < 0.01 and *** p < 0.001.

Axonemal gene expression in anterior horn of the spinal cord

No modifications in the expression levels of NEFH, which codes for neurofilament heavy polypeptide protein, was seen in ALS when compared with controls (p=0.30). However, DNAAF1 levels were significantly reduced (p=0.019). Expression of DNAH2, DNAH5, DNAH7 and DNAH11 mRNA was significantly reduced in ALS (p=0.029, p=0.012, p=0.005 and p=0.023, respectively), whereas DNAH9 mRNA was not altered (p=0.14). DNAI1 mRNA expression was also significantly reduced in ALS (p=0.0086) (Figure 3).

SLC1A2 and SC17A7 expression in anterior horn of the spinal cord

SLC1A2 and SLC17A7 expression levels were significantly decreased in the anterior horn of the spinal cord in ALS anterior (p=0.000115 and p=0.000125, respectively). See Figure 3.

Neurotransmission-related gene expression in frontal cortex area 8

GRIA1, which codes for the ionotropic glutamate receptor AMPA 1, and GRIN2A and GRIN2B, coding for NMDA receptors, were significantly up-regulated (p=0.018, p=0.018 and p=0.029, respectively) in frontal cortex in ALS cases. GRM5, which codes for the glutamate metabotropic receptor 5, was also up-regulated (p=0.0079). However, no significant alteration was seen in the expression of NETO1 (p=0.165).

Regarding the GABAergic system, GAD1 was up-regulated in ALS (p=0.034). Gene expression of GABA receptors GABRA1, GABRD, GABRB2 was increased (p=0.09, tendency, p=0.006 and p=0.0029, respectively). GABBR2 mRNA levels were also significantly elevated in the frontal cortex in ALS (p=0.01) (Figure 4).

Figure 4.

Figure 4

mRNA expression levels of selected deregulated genes identified by microarray analysis in frontal cortex area 8 of ALS cases determined by TaqMan RT-qPCR assays. (A) oligodendroglial and myelin-related genes; (B) glutamatergic and GABAergic-related genes and corresponding ionotropic and metabotropic receptors; (C) genes coding for synaptic cleft proteins. Significant up of genes linked to neurotransmission and synapses, and significant down of genes linked to oligodendroglia and myelination. (D) Glutamate transporter coding genes. The significance level is set at * p < 0.05, ** p < 0.01 and *** p < 0.001, and tendencies at # < 0.1.

Synaptic cleft gene expression in frontal cortex area 8

BSN, which codes for Bassoon, a pre-synaptic cytoskeletal matrix, was up-regulated in ALS (p=0.04). mRNA levels of PCLO, coding gene for Piccolo protein, and FRMPD4 were also increased in ALS (p=0.036 and p=0.029, respectively), Finally, NRN1, which codes for neuritin 1, but not DDN, which codes for dendrin protein, was up-regulated in the frontal cortex in ALS (p=0.04 and p=0.92, respectively) (Figure 4).

Myelin- and oligodendrocyte-related gene expression in frontal cortex area 8

Significant decrease in mRNA expression of myelin transcription factor (MYRF) (p= 0.028), OLIG2 (p=0.009), SOX10 (p=0.02), NKX2-2 (p=0.032), transferring (TF) (p=0.5), proteolipid protein 1 (PLP1) (p=0.040), myelin basic protein (MBP) (p=0.061), myelin-associated oligodendrocyte basic protein (MOBP) (p=0.019), oligodendrocyte glycoprotein (MOG) (p=0.05), Mal T-cell differentiation protein (MAL) (p=0.039), myelin associated glycoprotein (MAG) (p=0.035), and 2',3'-cyclic nucleotide 3' phosphodiesterase (CNP1) (p=0.017) was seen in frontal cortex in ALS cases compared with controls (Figure 4).

SLC1A2 and SLC17A7 expression in frontal cortex area 8

SLC1A2 expression was significantly increased (p=5.25e-5) whereas SLC17A7 mRNA showed a non-significant increase (p=0.42) in frontal cortex area 8 in ALS (Figure 4).

Immunohistochemistry in spinal cord

The anterior horn of the spinal cord in ALS cases showed decreased number of neurons and altered morphology of most remaining motor neurons including loss of endoplasmic reticulum (chromatolysis) and axonal ballooning (Figure 5a) and intracytoplasmic TDP-43-immunoreactive inclusions (Figure 5b). Immunohistochemistry was carried out in the lumbar spinal cord in control and sALS cases (Figure 5a and b). VDAC was reduced in a subpopulation of neurons in the anterior horn in ALS, but not in neurons of the Clarke's column and posterior horn, when compared with controls (Figure 5c and d). Increased expression of GFAP was found in reactive astrocytes in the lateral columns and anterior horn of the spinal cord in ALS cases (Figure 5e and f). Marked differences were seen regarding microglial cell markers: IBA-1 and CD68 immunoreactivity was dramatically increased in the pyramidal tracts and anterior horn in ALS; moreover the morphology of microglia was modified in pathological cases with predominance of round, amoeboid microglia (Figure 5g-j). Similar immunoreactivity, distribution and morphology were found in reactive microglia using antibodies against HLA-DRB1 and HLA-DRB5 (Figure 5k-n). In contrast IL-10 and TNF-α immunoreactivity predominated in neurons; immunoreactivity was increased in neurons in ALS cases compared with controls (Figure 5o-r). Finally, GluT (SLC1A2), the transporter of glutamate from the extracellular space at synapses, was expressed in the membrane of neurons and in the neuropil; SLC1A2 immunoreactivity was decreased in neurons and neuropil of the anterior horn in ALS (Figure 5s, t).

Figure 5.

Figure 5

Anterior horn of the spinal cord. Haematoxilin and eosin staining showing damaged neurons in ALS (a). Immuno-histochemistry to TDP-43 showing skein-like intracytoplasmic inclusions (b), VDAC (c, d), GFAP (e, f), IBA-1 (g, h), CD68 (i, j), HLA-DRB1 (k, l), HLA-DRB5 (m, n), IL-10 (o, p), TNF-α (q, r) and GluT (SLC1A2) (s, t) in the anterior horn of the lumbar spinal cord in control (c, e, g, I, k, m, o, q, s) and sALS (a, b, d, f, h, j, l, n, p, r, t) cases. TDP-43-immunoreactive cytoplasmic inclusions are seen in motor neurons in sALS. GFAP is increased in reactive astrocytes; microglial cells have a round, amoeboid morphology as seen with IBA-1, CD-68, HLA-DRB1, and HLA-DRB5 antibodies. VDAC immunoreactivity is decreased whereas IL-10 and TNF-α is increased in remaining motor neurons in sALS. SLC1A2 immunoreactivity is reduced in the membrane of neurons and in neuropil of the anterior horn in sALS. Paraffin sections, slightly counterstained with haematoxylin; a, c-d, o-t, bar in t = 40μm; e-n, bar in = 20μm; bar in b = 10μm

Gel electrophoresis and western blotting in frontal cortex area 8

A few tested antibodies were eventually suitable for western blotting studies. No differences in the expression levels of glutamate receptor ionotropic, NMDA 2A (NMDAR2A) and glutamate decarboxylase 1 (GAD1) were observed between control and ALS cases. However, a significant increase in α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptor 1 (AMPAR GluR-1) ** p < 0.01 and a tendency to increase in the expression of gamma-aminobutyric acid receptor subunit beta-2 (GABAAB2) (# p < 0.1) was found in the frontal cortex in ALS when compared to controls (Figure 6).

Figure 6.

Figure 6

Gel electrophoresis and western blotting to glutamate receptor ionotropic, NMDA 2A (NMDAR2A), α‐amino‐3‐hydroxy‐5‐methyl‐4‐isoxazolepropionic acid receptor 1 (GluR‐1), glutamate decarboxylase 1 (GAD1) and gamma‐aminobutyric acid receptor subunit beta‐2 (GABAAB2) in the frontal cortex area 8 of control and ALS. Significant increased levels of GluR‐1 and a tendency to increased levels of GABAAB2 are seen in ALS when compared with controls. The significance level is set at ** p < 0.01 and tendencies at # < 0.1.

DISCUSSION

Transcriptomic profiles in ALS are region-dependent when comparing the anterior horn of the lumbar spinal cord and frontal cortex area 8 in the same individuals. As an important regional difference related to excitotoxicity, the expression of glutamate transporters is markedly different in the anterior horn of the spinal cord and the frontal cortex area 8. SLC1A2 and SLC17A7 mRNA expression is significantly decreased in the anterior horn of the spinal cord, whereas SLC1A2 is significantly increased in frontal cortex area 8. SLC1A2 encodes the solute carrier family 1 member 2 or excitatory amino-acid transporter 2 (EAAT2) which clears glutamate from the extracellular space at synapses in the central nervous system. Immunohistochemistry has shown decreased SLC1A2 protein expression in the membrane of neurons and neuropil of the anterior horn in ALS. SLC17A7 encodes the vesicular glutamate transporter 1 (VGLUT1) which is a vesicle-bound, sodium-dependent phosphate glutamate transporter expressed in the synaptic vesicles. Decreased expression of these proteins is linked to increased excitotoxity which is postulated as primary factor triggering motor neuron degeneration in ALS [30, 31].

Whole transcriptome arrays show that major up-regulated clusters in the anterior horn are related with innate inflammatory and adaptative inflammatory responses. Genes involved in hemostasis and ion transport forms a small up-regulated group. The major group of down-regulated genes is linked to the neuronal cytoskeleton. The majority of significantly differentially up-regulated transcripts in sALS in frontal cortex area 8, as revealed by whole transcriptome arrays, code for proteins linked with neurotransmission, ion channels and ion transport, synapses, and axon and dendrite maintenance, whereas down-regulated genes code for proteins involved in oligodendrocyte development and function, myelin regulation and membrane lipid metabolism.

Altered gene expression as revealed by whole transcriptome arrays has been validated by RT-qPCR in 58 of 66 assessed genes. These observations increase the list of genes which are de-regulated in the anterior spinal cord and provide, for the first time, robust evidence of gene de-regulation in frontal cortex area 8 in sALS. Increased inflammatory response in the anterior horn and increased expression of selected neurotransmitter markers in frontal cortex has been further assessed using immunohistochemistry and western blotting, respectively.

Inflammation in the anterior horn of the spinal cord

AIF1 gene codes for the Allograft Inflammatory Factor 1, a protein induced by cytokines and interferon which promotes macrophage and glial activation [32, 33]. CD68 codes for the macrophage antigen CD68 glycoprotein which is expressed by microglial cells [35-37], the principal resident immune cell population in brain [38, 39]. Microglia pro-inflammatory state activation can be initiated by engagement of germline-encoded pattern-recognition receptors such as Toll-like receptors (TLRs) which are expressed in glial cells [40]. TLR activation, in turn, activates phagocytosis [41-43] and pro-inflammatory responses [44]. Up-regulated interleukins in ALS are IL1B, the coding gene for interleukin 1B an important mediator of the inflam-matory response [45], interleukin 10 (encoded by IL10) which has pleiotropic effects down-regulating the expression of Th1 cytokines, MHC class II antigens and co-stimulating the production of several molecules by macrophages through the activation of IL10 receptor subunit α and subunit β (encoded by IL10RA and IL10RB, respectively) [46]. However, IL6 mRNA, which encodes a specific pro-inflammatory cytokine with regenerative and anti-inflammatory activities in particular settings [47-50] is not modified. Tumor Necrosis Factor Receptor Superfamily Member 1A (encoded by TNFA) is involved in the regulation of a wide spectrum of biological processes including cell proliferation, cell differentiation, apoptosis, lipid metabolism and coagulation [50, 51]. CTSC gene encodes Cathepsin C which is central coordinator of activation of many serine proteinases in immune cells [52]. CTSS codes for a protein of the same family, Cathepsin S, which acts as a key protease responsible for the removal of the invariant chain from MHC class II antigens [53]. SLC11A1 encodes natural resistance-associated macrophage protein 1, which acts as a host resistance to certain pathogens [54].

Major Histocompatibility Complex Class II (MHC-II) DR β1 protein, encoded by HLA-DRB-1, plays a central role in the immune system by presenting peptides derived from extracellular proteins [55, 56] and participate in the activation of autophagosomes [57]. PDCD1LG2 codes for Programmed Cell Death 1 Ligand 2, a protein involved in co-stimulatory signals essential for T-cell proliferation and IFN-γ production [58]. IFNγ gene, which codes for the cytokine interferon-γ, is key player in antigen-specific immune responses [59]. Finally, interleukin 33, encoded by IL33, acts as a chemo-attractant for Th2 cells and functions as an ‘alarm’ that amplifies immune responses during tissue injury [60].

Increased inflammatory response in the anterior horn of the spinal cord has been further documented by immunohistochemistry showing increased expression of IBA-1, the protein encoded by AIF1, CD68, and HLA-DRB1 and HLA-DRB5 in reactive microglia. Reactive microglia has a round, amoeboid morphology and is also localized, as expected in the lateral and anterior pyramidal tracts. IL-10 and TNF-α are mainly localized in neurons of the spinal cord, and its expression is increased in remaining motor neurons of the spinal cord in ALS. These findings indicate a parallelism between gene expression and protein expression regarding inflammatory responses of assessed molecules. On the other hand the different localization of microglial markers, and IL-10 and TNF-α in neurons points to a cross-talk between microglia and neurons in the anterior horn of the spinal cord in ALS.

This is in contrast with other markers as glial fibrillary acidic protein and voltage dependent anion channel in which levels of mRNA differ from levels (or intensity) of protein expression. No modifications in the expression of GFAP mRNA are observed in the present study, but GFAP immunoreactivity is clearly increased in reactive astrocytes, as already reported in classical neuropathological studies. VDAC mRNA is not abnormally regulated in gene arrays; yet VDAC is decreased in motor neurons, but not in neurons of the Clarke's column and neurons of the posterior horn, of the spinal cord in ALS. VDAC immunohistochemistry is in line with observations in human sALS showing deficiencies in mitochondria and energy metabolism [61, 62].

Reduced expression of axolemal genes in anterior horn of the spinal cord

The expression levels of NEFH, which codes for neurofilament heavy polypeptide protein [63], are preserved in ALS. However, DNAAF1, which encodes dynein (axonemal) assembly factor 1, and mRNAs encoding several dynein axonemal heavy chains (DHC) are down-regulated thus suggesting impairment of motor ATPases involved in the transport of various cellular cargoes by ‘walking’ along cytoskeletal microtubules towards the minus-end of the microtubule [64-66].

Up-regulation of neurotransmission-related genes and synaptic cleft genes in frontal cortex

Genes involved in glutamatergic and GABAergic transmission are up-regulated in the frontal cortex in ALS. This applies to genes encoding the ionotropic glutamate receptor AMPA 1 (GRIA1), glutamate ionotropic receptor NMDA type subunit 2A (GRIN2A), the glutamate ionotropic receptor NMDA type subunit 2B (GRIN2B), and glutamate metabotropic receptor 5 (GRM5). Regarding the GABAergic system, GAD1, coding for glutamate decarboxylase 1, a rate-limiting enzyme that acts in the decarboxylation of glutamate essential for the conversion reaction of GABA from glutamate [67, 68], is up-regulated, as are GABRA1, GABRD, GABRB2, which code for different subunits of ionotropic GABA-A receptors. GABBR2, which codes for the metabotropic receptor component Gamma-Aminobutyric Acid Type B Receptor Subunit 2 and forms heterodimers with GABBR1, thus resulting in the formation of the G-protein coupled receptor for GABA [69], is also up-regulated in ALS.

In line with increased expression of neurotransmitter-related genes, several genes encoding molecules linked with the synaptic cleft are also up-regulated in ALS. BSN codes for Bassoon, a pre-synaptic cytoskeletal matrix (PCM) protein acting as a scaffolding protein and essential for the regulation of neurotransmitter release in a subset of synapses [70, 71]. PCLO codes for Piccolo protein, a component of the PCM assembled in the active zone of neurotransmitter release [72, 73]. FRMPD4 codes for PSD-95-interacting regulator of spine morphogenesis protein which regulates dendritic spine morphogenesis and is required for the maintenance of excitatory synaptic transmission [74]. DDN and NRN1 code for dendrin protein and neuritin 1 protein, respectively which are involved in the remodeling of the postsynaptic cytoskeleton and neuritic outgrowth [75-77].

De-regulation of neurotransmitters and receptors is further supported by the demonstration of significant increase in the levels of GluR-1 and a tendency in those of GABAAB2 in the frontal cortex area 8 in ALS when compared with controls. It is worth stressing that only a few antibodies of the total assessed (eight) were suitable for western blotting.

Myelin and oligodendrocyte genes in frontal cortex area 8

Myelin transcription factor (encoded by MYRF) regulates oligodendrocyte differentiation and is required for central nervous system myelination [78-81]. The basic loop- helix protein OLIG2 mediates motor neuron and oligodendrocyte differentiation [22, 82]. High mobility group protein SOX10 modulates myelin protein transcription [83, 84]. NKX2.2 homeodomain transcription factor is a key regulator of oligodendrocyte differentiation [85]. Transferrin encoded by TF participates in the early stages of myelination [86, 87]. Proteolipid protein 1 (encoded by PLP1) plays a role in the compaction, stabilization, and maintenance of myelin sheaths, as well as in oligodendrocyte development and axonal survival [88, 89]. Myelin basic protein (encoded by MBP) is the second most abundant myelin-associated protein, constituting about 30% of total myelin protein [90]. Myelin-associated oligodendrocyte basic protein (encoded by MOBP) constitutes the third most abundant protein in CNS myelin and it acts by compacting and stabilizing myelin sheaths [91]. Myelin oligodendrocyte glycoprotein (encoded by MOG) is a cell surface marker of oligodendrocyte maturation [92]. Myelin associated glycoprotein (encoded by MAG) is a type I membrane protein and member of the immunoglobulin super-family involved in the process of myelination and certain myelin-neuron cell-cell interactions [93]. Mal T-cell differentiation protein (encoded by MAL) is involved in myelin biogenesis [94]. Finally, 2',3'-cyclic nucleotide 3' phosphodiesterase (encoded by CNP1) participates in early oligodendrocyte differentiation and myelination [95-97].

Concluding comments

Results of the present study validate gene expression of individual studies performed in a limited number of samples identifying a limited number of de-regulated genes in the anterior horn of the spinal cord [17, 20, 21, 25]. Present results are more close to those carried out by using laser micro-dissection of anterior horn spinal motor neurons [27] thus reinforcing the consistence of observations in both studies. Whether some changes are related to the variable progression of the disease need further study with a larger number of cases of rapid or slow clinical course. In this line, altered mitochondria, protein degradation and axonal transport predominate in the 129Sv-SOD1(G93A) transgenic mouse with rapidly progressive motor neuron disease, whereas increased immune response is found in the C57-SOD1(G93A) transgenic mouse with more benign course [98].

The most important aspect of the present study is the description of altered gene expression and identification of altered clusters of genes in the frontal cortex area 8 in sALS cases without apparent cognitive impairment. It is worth stressing that altered clusters differ in the spinal cord and frontal cortex in sALS at terminal stages thus providing valuable information of molecular ab-normalities which can also be present within the spectrum of FTLD-TDP. Noteworthy, altered regulation of transcription related to synapses and neuro-transmission covering neurotransmitter receptors, synaptic proteins and ion channels in the frontal cortex in the absence of overt clinical symptoms of cognitive impairment are particularly important to identify early molecular alterations in frontal cortex with the spectrum of ALS/FTLD-TDP.

MATERIALS AND METHODS

Tissue collection

Post-mortem fresh-frozen lumbar spinal cord (SC) and frontal cortex (FC) (Brodmann area 8) tissue samples were from the Institute of Neuropathology HUB-ICO-IDIBELL Biobank following the guidelines of Spanish legislation on this matter and the approval of the local ethics committee. The post-mortem interval between death and tissue processing was between 2 and 17 hours. One hemisphere was immediately cut in coronal sections, 1-cm thick, and selected areas of the encephalon were rapidly dissected, frozen on metal plates over dry ice, placed in individual air-tight plastic bags, numbered with water-resistant ink and stored at −80°C until use for biochemical studies. The other hemisphere was fixed by immersion in 4% buffered formalin for 3 weeks for morphologic studies. Transversal sections of the spinal cord were alternatively frozen at −80°C or fixed by immersion in 4% buffered formalin. The whole series included 18 sALS cases and 23 controls. The anterior horn of the spinal cord was examined in 14 sALS (mean age 57 years; 6 men and 8 women) and the frontal cortex area 8 in 15 sALS (mean age 54 years; 11 men and 4 women). Spinal cord and frontal cortex were available in 11 cases. Lumbar anterior spinal cord was dissected on a dry-ice frozen plate under a binocular microscope at a magnification x4. TDP-43-immunoreactive small dystrophic neurites and/or TDP-43-positive granules and/or small cytoplasmic globules in cortical neurons in the contralateral frontal cortex area 8 were observed in 11 of 18 cases, but only abundant in three cases (cases 29, 30 and 31 in Table 3). Spongiosis in the upper cortical layers was found only in one case (case 28 in Table 3). Cases with frontotemporal dementia were not included in the present series. Patients with associated pathology including Alzheimer's disease (excepting neurofibrillary tangle pathology stages I-II of Braak and Braak), Parkinson's disease, tauopathies, vascular diseases, neoplastic diseases affecting the nervous system, metabolic syndrome, hypoxia and prolonged axonal states such as those occurring in intensive care units were excluded. Cases with infectious, inflammatory and autoimmune diseases, either systemic or limited to the nervous system were not included.

Table 3. Summary of the fifty six cases analyzed including frontal cortex area 8 of 14 controls and 15 ALS cases, and anterior horn of the spinal cord of 13 controls and 14 ALS cases.

RIN value
Case Age Gender Diagnosis PM delay Initial symptoms SC FC
1 49 F Control 07 h 00 min - - 7.2
2 75 F Control 03 h 00 min - - 7.2
3 55 M Control 05 h 40 min - - 7.7
4 59 M Control 12 h 05 min - 6.4 -
5 59 M Control 07 h 05 min - - 7.8
6 43 M Control 05 h 55 min - 6.6 7.7
7 53 M Control 07 h 25 min - - 5.3
8 56 M Control 03 h 50 min - - 7.6
9 47 M Control 04 h 55 min - 5.6 7.7
10 64 F Control 11 h 20 min - 6.2 -
11 46 M Control 15 h 00 min - 5.9 7.9
12 56 M Control 07 h 10 min - 6.1 -
13 71 F Control 08 h 30 min - 5.9 -
14 64 F Control 05 h 00 min - 7.0 -
15 79 F Control 06 h 25 min - 6.7 -
16 75 M Control 07 h 30 min - 5.0 -
17 55 M Control 09 h 45 min - 5.3 -
18 52 M Control 03 h 00 min - - 8.3
19 52 M Control 04 h 40 min - - 6.3
20 76 M Control 06 h 30 min - 6.6 -
21 60 F Control 11 h 30 min - - 7.5
22 51 F Control 04 h 00 min - 6.3 7.9
23 54 M Control 08 h 45 min - - 7.0
24 56 M ALS 10 h 50 min NA 7.1 -
25 70 M ALS 03 h 00 min Respiratory 7.3 7.0
26 77 M ALS 04 h 30 min NA 7.4 -
27 56 F ALS 03 h 45 min NA 8.2 7.7
28 59 M ALS 03 h 15 min NA 7.5 7.7
29 63 F ALS 13 h 50 min Bulbar 6.8 8.2
30 59 F ALS 14 h 15 min NA 6.4 6.7
31 54 M ALS 04 h 50 min Spinal - 7.8
32 76 M ALS 12 h 40 min Spinal - 7.4
33 64 M ALS 16 h 30 min NA 6.3 7.3
34 57 F ALS 04 h 00 min Bulbar 6.2 8.6
35 75 F ALS 04 h 05 min Bulbar 6.8 6.8
36 79 F ALS 02 h 10 min NA 7.0 -
37 57 F ALS 10 h 00 min Bulbar 6.5 7.1
38 50 M ALS 10 h 10 min Spinal - 5.9
39 59 F ALS 02 h 30 min Spinal - 7.5
40 46 M ALS 07 h 00 min Spinal 7.0 8.0
41 69 F ALS 17 h 00 min Spinal 6.4 6.3

Abbreviations: ALS: amyotrophic lateral sclerosis; F: female; M: male; PM: post-mortem delay (hours, minutes); SC: anterior horn of the spinal cord lumbar level; FC: frontal cortex area 8; RIN: RNA integrity number; NA: not available.

Age-matched control cases had not suffered from neurologic or psychiatric diseases, and did not have abnormalities in the neuropathologic examination, excepting sporadic neurofibrillary tangle pathology stages I-II of Braak and Braak. No C9ORF72, SOD1, TARDBP and FUS mutations occurred in any case. Table 3 shows a summary of cases.

Whole-transcriptome array

RNA from frozen anterior horn of the lumbar spinal cord and frontal cortex area 8 was extracted following the instructions of the supplier (RNeasy Mini Kit, Qiagen® GmbH, Hilden, Germany). RNA integrity and 28S/18S ratios were determined with the Agilent Bioanalyzer (Agilent Technologies Inc, Santa Clara, CA, USA) to assess RNA quality, and the RNA concentration was evaluated using a NanoDrop™ Spectrophotometer (Thermo Fisher Scientific). Selected samples were analyzed by microarray hybridization with GeneChip® Human Gene 2.0 ST Array and WT Labeling Kit and microarray 7000G platform from Affymetrix® (Santa Clara, CA, USA). Microarray service was carried out at the High Technology Unit (UAT) at Vall d'Hebron Research Institute (VHIR), Barcelona, Spain.

Microarray data and statistical analysis

Microarray data quality control, normalization and filtering were performed using bioconductor packages in an R programming environment for genes [99] which enabled data preprocessing for differential gene expression analysis and enrichment analysis. Gene selection was based upon their values using a test for differential expression between two classes (Student's t-test). Genes differentially expressed showed an absolute fold change > 2.0 in combination with a p-value ≤ 0.05.

RT-qPCR validation

Complementary DNA (cDNA) preparation used High-Capacity cDNA Reverse Transcription kit (Applied Biosystems, Foster City, CA, USA) following the protocol provided by the supplier. Parallel reactions for each RNA sample run in the absence of MultiScribe Reverse Transcriptase to assess the lack of contamination of genomic DNA. TaqMan RT-qPCR assays were performed in duplicate for each gene on cDNA samples in 384-well optical plates using an ABI Prism 7900 Sequence Detection system (Applied Biosystems, Life Technologies, Waltham, MA, USA).

For each 10μL TaqMan reaction, 4.5μL cDNA was mixed with 0.5μL 20x TaqMan Gene Expression Assays and 5μL of 2x TaqMan Universal PCR Master Mix (Applied Biosystems). Table 4 shows identification numbers and names of TaqMan probes. The mean value of one house-keeping gene, hypoxanthine-guanine phosphoribosyltransferase (HPRT1), was used as internal control for normalization of spinal cord samples, whereas the mean values of the three house-keeping genes, alanyl-transfer RNA synthase (AARS), glucuronidase Beta (GUS-β) and X-prolyl amino-peptidase (aminopeptidase P) 1 (XPNPEP1) were used as internal controls for normalization of frontal cortex samples [100, 101]. The parameters of the reactions were 50°C for 2 min, 95°C for 10 min, and 40 cycles of 95°C for 15 sec and 60°C for 1 min. Finally, capture of all TaqMan PCR data used the Sequence Detection Software (SDS version 2.2.2, Applied Biosystems). The double-delta cycle threshold (ΔΔCT) method was used to analyze the data; results with T-student test. The significance level was set at * p < 0.05, ** p < 0.01 and *** p < 0.001, and tendencies at # < 0.1. Pearson's correlation method assessed a possible linear association between TDP-43 pathology in frontal cortex area 8 and gene deregulation in the same region; significant correlations were not found.

Table 4. Genes, gene symbols and TaqMan probes used for the study of gene expression in the anterior horn of the spinal cord and frontal cortex area 8 in ALS cases and controls including probes for normalization (AARS, GUS-β, HPRT-1 and XPNPEP-1).

Gene Gene symbol Reference
2',3'-Cyclic Nucleotide 3' Phosphodiesterase CNP Hs00263981_m1
Alanyl-TRNA Synthetase AARS Hs00609836_m1
Allograft Inflammatory Factor 1 AIF1 Hs00741549_g1
Bassoon Presynaptic Cytomatrix Protein BSN Hs01109152_m1
Cathepsin C CTSC Hs00175188_m1
Cathepsin S CTSS Hs00356423_m1
C-X-C Motif Chemokine Ligand 8 IL8 Hs00174103_m1
Dendrin DDN Hs00391784_m1
Dynein (Axonemal) Assembly Factor 1 DNAAF1 Hs00698399_m1
Dynein Axonemal Heavy Chain 11 DNAH11 Hs00361951_m1
Dynein Axonemal Heavy Chain 2 DNAH2 Hs00325838_m1
Dynein Axonemal Heavy Chain 5 DNAH5 Hs00292485_m1
Dynein Axonemal Heavy Chain 7 DNAH7 Hs00324265_m1
Dynein Axonemal Heavy Chain 9 DNAH9 Hs00242096_m1
Dynein Axonemal Intermediate Chain 1 DNAI1 Hs00201755_m1
Gamma-Aminobutyric Acid Type A Receptor Alpha 1 Subunit GABRA1 Hs00971228_m1
Gamma-Aminobutyric Acid Type A Receptor Beta 2 Subunit GABRB2 Hs00241451_m1
Gamma-Aminobutyric Acid Type A Receptor Delta Subunit GABRD Hs00181309_m1
Gamma-Aminobutyric Acid Type B Receptor Subunit 2 GABBR2 Hs01554996_m1
Glial Fibrillary Acidic Protein GFAP Hs00909240_m1
Glutamate Decarboxylase 1 GAD1 Hs01065893_m1
Glutamate Ionotropic Receptor AMPA Type Subunit 1 GRIA1 Hs00181348_m1
Glutamate Ionotropic Receptor NMDA Type Subunit 2A GRIN2A Hs00168219_m1
Glutamate Ionotropic Receptor NMDA Type Subunit 2B GRIN2B Hs01002012_m1
Glutamate Metabotropic Receptor 5 GRM5 Hs00168275_m1
Hypoxanthine Phosphoribosyltransferase 1 HPRT1 Hs02800695_m1
Integrin Subunit Beta 4 ITGB4 Hs00173995_m1
Interferon, Gamma IFNG Hs00989291_m1
Interleukin 1 Beta IL1B Hs01555410_m1
Interleukin 10 IL10 Hs00961622_m1
Interleukin 10 Receptor Subunit Alpha IL10RA Hs00155485_m1
Interleukin 10 Receptor Subunit Beta IL10RB Hs00988697_m1
Interleukin 33 IL33 Hs00369211_m1
Interleukin 6 IL6 Hs00985639_m1
Interleukin 6 Signal Transducer IL6ST Hs00174360_m1
Macrophage Antigen CD68 CD68 Hs02836816_g1
Major Histocompatibility Complex, Class II, DR Beta 1/4/5 HLA-DRB Hs04192463_mH
Mal T-Cell Differentiation Protein MAL Hs00360838_m1
Myelin Associated Glycoprotein MAG Hs01114387_m1
Myelin Basic Protein MBP Hs00921945_m1
Myelin Oligodendrocyte Glycoprotein MOG Hs01555268_m1
Myelin Regulatory Factor MYRF Hs00973739_m1
Myelin-Associated Oligodendrocyte Basic Protein MOBP Hs01094434_m1
Neuritin 1 NRN1 Hs00213192_m1
Neurofilament, Heavy Polypeptide NEFH Hs00606024_m1
Neuropilin And Tolloid Like 1 NETO1 Hs00371151_m1
NK2 Homeobox 2 NKX2-2 Hs00159616_m1
Oligodendrocyte Lineage Transcription Factor 2 OLIG2 Hs00377820_m1
Piccolo Presynaptic Cytomatrix Protein PCLO Hs00382694_m1
Programmed Cell Death 1 Ligand 2 PDCD1LG2 Hs01057777_m1
Prostaglandin-Endoperoxide Synthase 2 PTGS2 Hs00153133_m1
Proteolipid Protein 1 PLP1 Hs00166914_m1
PSD-95-Interacting Regulator Of Spine Morphogenesis FRMPD4 Hs01568794_m1
Solute Carrier Family 1 (Glial High Affinity Glutamate Transporter), Member 2 (EAAT-2) SLC1A2 Hs01102423_m1
Solute Carrier Family 11 Member 1 SLC11A1 Hs01105516_m1
Solute Carrier Family 17 (Vesicular Glutamate Transporter), Member 7 (VGLUT-1) SLC17A7 Hs00220404_m1
SRY (Sex Determining Region Y)-Box 10 SOX10 Hs00366918_m1
Toll Like Receptor 2 TLR2 Hs00610101_m1
Toll Like Receptor 3 TLR3 Hs01551078_m1
Toll Like Receptor 4 TLR4 Hs01060206_m1
Toll Like Receptor 7 TLR7 Hs00152971_m1
Transferrin TF Hs01067777_m1
Tumor Necrosis Factor Receptor Superfamily Member 1A TNFRSF1 Hs01042313_m1
Tumor Necrosis Factor-Alpha TNFa Hs01113624_g1
X-prolyl aminopepidase P1 XPNPEP1 Hs00958026_m1
β-glucuronidase GUS-β Hs00939627_m1

Immunohistochemistry

De-waxed sections, 4μm thick, of the lumbar spinal cord from control and ALS cases were processed in parallel for immunohistochemistry. Endogenous peroxidases were blocked by incubation in 10% methanol-1% H2O2 for 15 min followed by 3% normal horse serum. Then the sections were incubated at 4°C overnight with one of the primary antibodies: rabbit polyclonal antibodies to IBA-1 (019-19749, Wako Chemicals Gmbh, Neuss, GE) were used at a dilution of 1:1,000; VDAC (voltage dependent anion channel, ab15895, Abcam, Cambridge, UK) at 1:100; HLA-DRB1 (GTX104919, GeneTex, Barcelona, Spain) at 1:100; HLA-DRB5 (NBP2, Novusbio, Littleton, Colorado, USA) at 1:100; IL-10 (AP52181PU, ACRIS, ProAlt, Madrid, Spain) at 1:100; and GFAP (glial fibrillary acidic protein, RP014-S, Diagnostic Biosystem, Palex Medica, Sant Cugat, Spain) at 1:400. Mouse monoclonal antibodies to CD68 (ab955, Abcam, Cambridge, UK) and TNF-α (ab1793, Abcam, Cambridge, UK), were used at dilutions of 1:200 and 1:150, respectively. Antibodies to GluT: SLC1A2 (ab1783, Millipore, Billerica, MA, USA) were used at a dilution of 1:100. Following incubation with the primary antibody, the sections were incubated with EnVision + system peroxidase (Dako, Agilent, Santa Clara, CA, USA) for 30 min at room temperature. The peroxidase reaction was visualized with diamino-benzidine and H2O2. Control of the immunostaining included omission of the primary antibody; no signal was obtained following incubation with only the secondary antibody. Sections were slightly stained with haematoxylin.

Gel electrophoresis and western blotting

Frozen samples of the somatosensory cortex were homogenized in RIPA lysis buffer composed of 50mM Tris/HCl buffer, pH 7.4 containing 2mM EDTA, 0.2% Nonidet P-40, 1mM PMSF, protease and phosphatase inhibitor cocktail (Roche Molecular Systems, USA). The homogenates were centrifuged for 20 min at 12,000 rpm. Protein concentration was determined with the BCA method (Thermo Scientific). Equal amounts of protein (20μg) for each sample were loaded and separated by electrophoresis on 10% sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) gels and transferred onto nitrocellulose membranes (Amersham, Freiburg, GE). Non-specific bindings were blocked by incubation in 3% albumin in PBS containing 0.2% Tween for 1 h at room temperature. After washing, membranes were incubated overnight at 4°C with antibodies against glutamate receptor ionotropic, NMDA 2A (NMDAR2A, 130 kDa, rabbit, 1:200, Abcam, Cambridge, UK), α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptor 1 (AMPAR GluR-1, 100 kDa, rabbit, 1:200, Cell Signaling Technology, Danvers, MA, USA), glutamate decarbo-xylase 1 (GAD1, 67 kDa, rabbit, 1:200, Cell Signaling Technology, Danvers, MA, USA) and gamma-aminobutyric acid receptor subunit beta-2 (GABAAB2, 59 kDa, mouse, 1:1000, Abcam, Cambridge, UK). Protein loading was monitored using an antibody against β-actin (42 kDa, 1:30,000, Sigma). Membranes were incubated for 1 h with appropriate HRP-conjugated secondary antibodies (1:2,000, Dako); the immunoreaction was revealed with a chemilumines-cence reagent (ECL, Amersham). Densitometric quantification was carried out with the ImageLab v4.5.2 software (BioRad), using β-actin for normalization. Seven samples of FC area 8 per group were analyzed.

These antibodies were selected on the basis of a larger screening which included antibodies against proteins whose RNA levels were de-regulated as revealed by RT-qPCR. Only antibodies working for western blotting were eventually assessed. The significance level was set at ** p < 0.01 and tendencies at # < 0.1.

SUPPLEMENTARY MATERIALS TABLES

aging-09-823-s001.pdf (118.9KB, pdf)
aging-09-823-s002.pdf (1.8MB, pdf)
aging-09-823-s003.pdf (1.7MB, pdf)

Acknowledgments

We wish to thank the High Technology Unit (HTU) and Statistics and Bioinformatics Unit (SBU) of the Vall d'Hebron Research Institute (VHIR) (Barcelona, Spain), and particularly Ricardo Gonzalo and Ferran Briansó for the array procedure and data processing, respectively, and T. Yohannan for editorial help.

AUTHOR CONTRIBUTIONS

PA-B carried out gene expression studies and validation of gene expression; JM prepared the samples for morphological and biochemical studies; EA helped in the bioinformatics analysis; MP was in charge of the clinical studies; IF designed and supervised the study and wrote the advanced version of the manuscript which was then circulated among the contributors. All the authors agree with the final version of the manuscript.

CONFLICTS OF INTEREST

The authors declare no conflict of interest.

FUNDING

This study was supported by grants from CIBERNED and Instituto de Salud Carlos III, and co-funded by FEDER funds/European Regional Development Fund (ERDF) – a way to build Europe PIE14/00034 and PI14/00757, and intra-CIBERNED project to IF, and IFI15/00035 fellowship to PA-B.

REFERENCES

  • 1.Horobágyi T, Cairns NJ. Amyotrophic lateral sclerosis and frontotemporal lobar degeneration. In: Kovacs GG, editor. Neuropathology of neurodegenerative diseases: a practical guide. Cambridge Press; Cambridge: 2015. pp. 209–248. [Google Scholar]
  • 2.Strong MJ, Hortobágyi T, Okamoto K, Kato S. Amyotrophic lateral sclerosis, primary lateral sclerosis, and spinal muscular atrophy. In: Dickson DW, editor. Neurodegeneration: the molecular pathology of dementia and movement disorders. 2nd. Wiley-Blackwell; Oxford: 2011. pp. 418–433. [Google Scholar]
  • 3.Boillée S, Vande Velde C, Cleveland DW. ALS: a disease of motor neurons and their nonneuronal neighbors. Neuron. 2006;52:39–59. doi: 10.1016/j.neuron.2006.09.018. [DOI] [PubMed] [Google Scholar]
  • 4.Calvo A, Moglia C, Balma M, Chiò A. Involvement of immune response in the pathogenesis of amyotrophic lateral sclerosis: a therapeutic opportunity? CNS Neurol Disord Drug Targets. 2010;9:325–30. doi: 10.2174/187152710791292657. [DOI] [PubMed] [Google Scholar]
  • 5.D'Amico E, Factor-Litvak P, Santella RM, Mitsumoto H. Clinical perspective on oxidative stress in sporadic amyotrophic lateral sclerosis. Free Radic Biol Med. 2013;65:509–27. doi: 10.1016/j.freeradbiomed.2013.06.029. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Evans MC, Couch Y, Sibson N, Turner MR. Inflammation and neurovascular changes in amyotrophic lateral sclerosis. Mol Cell Neurosci. 2013;53:34–41. doi: 10.1016/j.mcn.2012.10.008. [DOI] [PubMed] [Google Scholar]
  • 7.Hooten KG, Beers DR, Zhao W, Appel SH. Protective and toxic neuroinflammation in amyotrophic lateral sclerosis. Neurotherapeutics. 2015;12:364–75. doi: 10.1007/s13311-014-0329-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.King AE, Woodhouse A, Kirkcaldie MT, Vickers JC. Excitotoxicity in ALS: Overstimulation, or overreaction? Exp Neurol. 2016;275:162–71. doi: 10.1016/j.expneurol.2015.09.019. [DOI] [PubMed] [Google Scholar]
  • 9.Lin CL, Bristol LA, Jin L, Dykes-Hoberg M, Crawford T, Clawson L, Rothstein JD. Aberrant RNA processing in a neurodegenerative disease: the cause for absent EAAT2, a glutamate transporter, in amyotrophic lateral sclerosis. Neuron. 1998;20:589–602. doi: 10.1016/S0896-6273(00)80997-6. [DOI] [PubMed] [Google Scholar]
  • 10.Maragakis NJ, Rothstein JD. Glutamate transporters in neurologic disease. Arch Neurol. 2001;58:365–70. doi: 10.1001/archneur.58.3.365. [DOI] [PubMed] [Google Scholar]
  • 11.Peters OM, Ghasemi M, Brown RH., Jr Emerging mechanisms of molecular pathology in ALS. J Clin Invest. 2015;125:1767–79. doi: 10.1172/JCI71601. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Philips T, Robberecht W. Neuroinflammation in amyotrophic lateral sclerosis: role of glial activation in motor neuron disease. Lancet Neurol. 2011;10:253–63. doi: 10.1016/S1474-4422(11)70015-1. [DOI] [PubMed] [Google Scholar]
  • 13.Philips T, Rothstein JD. Glial cells in amyotrophic lateral sclerosis. Exp Neurol. 2014;262:111–20. doi: 10.1016/j.expneurol.2014.05.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Rossi S, Cozzolino M, Carrì MT. Old versus new mechanisms in the pathogenesis of ALS. Brain Pathol. 2016;26:276–86. doi: 10.1111/bpa.12355. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Strong MJ, Leystra-Lantz C, Ge WW. Intermediate filament steady-state mRNA levels in amyotrophic lateral sclerosis. Biochem Biophys Res Commun. 2004;316:317–22. doi: 10.1016/j.bbrc.2004.02.051. [DOI] [PubMed] [Google Scholar]
  • 16.Taylor JP, Brown RH, Jr, Cleveland DW. Decoding ALS: from genes to mechanism. Nature. 2016;539:197–206. doi: 10.1038/nature20413. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Dangond F, Hwang D, Camelo S, Pasinelli P, Frosch MP, Stephanopoulos G, Stephanopoulos G, Brown RH, Jr, Gullans SR. Molecular signature of late-stage human ALS revealed by expression profiling of postmortem spinal cord gray matter. Physiol Genomics. 2004;16:229–39. doi: 10.1152/physiolgenomics.00087.2001. [DOI] [PubMed] [Google Scholar]
  • 18.Heath PR, Kirby J, Shaw PJ. Investigating cell death mechanisms in amyotrophic lateral sclerosis using transcriptomics. Front Cell Neurosci. 2013;7:259. doi: 10.3389/fncel.2013.00259. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Henriques A, Gonzalez De Aguilar JL. Can transcriptomics cut the gordian knot of amyotrophic lateral sclerosis? Curr Genomics. 2011;12:506–15. doi: 10.2174/138920211797904043. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Ishigaki S, Niwa J, Ando Y, Yoshihara T, Sawada K, Doyu M, Yamamoto M, Kato K, Yotsumoto Y, Sobue G. Differentially expressed genes in sporadic amyotrophic lateral sclerosis spinal cords--screening by molecular indexing and subsequent cDNA microarray analysis. FEBS Lett. 2002;531:354–58. doi: 10.1016/S0014-5793(02)03546-9. [DOI] [PubMed] [Google Scholar]
  • 21.Malaspina A, Kaushik N, de Belleroche J. Differential expression of 14 genes in amyotrophic lateral sclerosis spinal cord detected using gridded cDNA arrays. J Neurochem. 2001;77:132–45. doi: 10.1046/j.1471-4159.2001.t01-1-00231.x. [DOI] [PubMed] [Google Scholar]
  • 22.Lederer CW, Torrisi A, Pantelidou M, Santama N, Cavallaro S. Pathways and genes differentially expressed in the motor cortex of patients with sporadic amyotrophic lateral sclerosis. BMC Genomics. 2007;8:26. doi: 10.1186/1471-2164-8-26. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Li H, de Faria JP, Andrew P, Nitarska J, Richardson WD. Phosphorylation regulates OLIG2 cofactor choice and the motor neuron-oligodendrocyte fate switch. Neuron. 2011;69:918–29. doi: 10.1016/j.neuron.2011.01.030. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Wang XS, Simmons Z, Liu W, Boyer PJ, Connor JR. Differential expression of genes in amyotrophic lateral sclerosis revealed by profiling the post mortem cortex. Amyotroph Lateral Scler. 2006;7:201–10. doi: 10.1080/17482960600947689. [DOI] [PubMed] [Google Scholar]
  • 25.Offen D, Barhum Y, Melamed E, Embacher N, Schindler C, Ransmayr G. Spinal cord mRNA profile in patients with ALS: comparison with transgenic mice expressing the human SOD-1 mutant. J Mol Neurosci. 2009;38:85–93. doi: 10.1007/s12031-007-9004-z. [DOI] [PubMed] [Google Scholar]
  • 26.Woodruff RH, Tekki-Kessaris N, Stiles CD, Rowitch DH, Richardson WD. Oligodendrocyte development in the spinal cord and telencephalon: common themes and new perspectives. Int J Dev Neurosci. 2001;19:379–85. doi: 10.1016/S0736-5748(00)00083-6. [DOI] [PubMed] [Google Scholar]
  • 27.Jiang YM, Yamamoto M, Kobayashi Y, Yoshihara T, Liang Y, Terao S, Takeuchi H, Ishigaki S, Katsuno M, Adachi H, Niwa J, Tanaka F, Doyu M, et al. Gene expression profile of spinal motor neurons in sporadic amyotrophic lateral sclerosis. Ann Neurol. 2005;57:236–51. doi: 10.1002/ana.20379. [DOI] [PubMed] [Google Scholar]
  • 28.Cox LE, Ferraiuolo L, Goodall EF, Heath PR, Higginbottom A, Mortiboys H, Hollinger HC, Hartley JA, Brockington A, Burness CE, Morrison KE, Wharton SB, Grierson AJ, et al. Mutations in CHMP2B in lower motor neuron predominant amyotrophic lateral sclerosis (ALS) PLoS One. 2010;5:e9872. doi: 10.1371/journal.pone.0009872. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Kirby J, Halligan E, Baptista MJ, Allen S, Heath PR, Holden H, Barber SC, Loynes CA, Wood-Allum CA, Lunec J, Shaw PJ. Mutant SOD1 alters the motor neuronal transcriptome: implications for familial ALS. Brain. 2005;128:1686–706. doi: 10.1093/brain/awh503. [DOI] [PubMed] [Google Scholar]
  • 30.Rothstein JD. Excitotoxic mechanisms in the pathogenesis of amyotrophic lateral sclerosis. Adv Neurol. 1995;68:7–20. [PubMed] [Google Scholar]
  • 31.Rothstein JD. Current hypotheses for the underlying biology of amyotrophic lateral sclerosis. Ann Neurol. 2009;65:S3–9. doi: 10.1002/ana.21543. [DOI] [PubMed] [Google Scholar]
  • 32.Chen X, Kelemen SE, Autieri MV. AIF-1 expression modulates proliferation of human vascular smooth muscle cells by autocrine expression of G-CSF. Arterioscler Thromb Vasc Biol. 2004;24:1217–22. doi: 10.1161/01.ATV.0000130024.50058.de. [DOI] [PubMed] [Google Scholar]
  • 33.Kelemen SE, Autieri MV. Expression of allograft inflammatory factor-1 in T lymphocytes: a role in T-lymphocyte activation and proliferative arteriopathies. Am J Pathol. 2005;167:619–26. doi: 10.1016/S0002-9440(10)63003-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Schulze JO, Quedenau C, Roske Y, Adam T, Schüler H, Behlke J, Turnbull AP, Sievert V, Scheich C, Mueller U, Heinemann U, Büssow K. Structural and functional characterization of human Iba proteins. FEBS J. 2008;275:4627–40. doi: 10.1111/j.1742-4658.2008.06605.x. [DOI] [PubMed] [Google Scholar]
  • 35.Beranek JT. CD68 is not a macrophage-specific antigen. Ann Rheum Dis. 2005;64:342–43. [PMC free article] [PubMed] [Google Scholar]
  • 36.Gottfried E, Kunz-Schughart LA, Weber A, Rehli M, Peuker A, Müller A, Kastenberger M, Brockhoff G, Andreesen R, Kreutz M. Expression of CD68 in non-myeloid cell types. Scand J Immunol. 2008;67:453–63. doi: 10.1111/j.1365-3083.2008.02091.x. [DOI] [PubMed] [Google Scholar]
  • 37.Holness CL, Simmons DL. Molecular cloning of CD68, a human macrophage marker related to lysosomal glycoproteins. Blood. 1993;81:1607–13. [PubMed] [Google Scholar]
  • 38.Colton C, Wilcock DM. Assessing activation states in microglia. CNS Neurol Disord Drug Targets. 2010;9:174–91. doi: 10.2174/187152710791012053. [DOI] [PubMed] [Google Scholar]
  • 39.Heneka MT, Kummer MP, Latz E. Innate immune activation in neurodegenerative disease. Nat Rev Immunol. 2014;14:463–77. doi: 10.1038/nri3705. [DOI] [PubMed] [Google Scholar]
  • 40.Arroyo DS, Soria JA, Gaviglio EA, Rodriguez-Galan MC, Iribarren P. Toll-like receptors are key players in neurodegeneration. Int Immunopharmacol. 2011;11:1415–21. doi: 10.1016/j.intimp.2011.05.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Chen K, Iribarren P, Hu J, Chen J, Gong W, Cho EH, Lockett S, Dunlop NM, Wang JM. Activation of Toll-like receptor 2 on microglia promotes cell uptake of Alzheimer disease-associated amyloid β peptide. J Biol Chem. 2006;281:3651–59. doi: 10.1074/jbc.M508125200. [DOI] [PubMed] [Google Scholar]
  • 42.Iribarren P, Zhou Y, Hu J, Le Y Wang JM. Role of formyl peptide receptor-like 1 (FPRL1/FPR2) in mononuclear phagocyte responses in Alzheimer disease. Immunol Res. 2005;31:165–76. doi: 10.1385/IR:31:3:165. [DOI] [PubMed] [Google Scholar]
  • 43.Tahara K, Kim HD, Jin JJ, Maxwell JA, Li L, Fukuchi K. Role of toll-like receptor signalling in Abeta uptake and clearance. Brain. 2006;129:3006–19. doi: 10.1093/brain/awl249. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Facci L, Barbierato M, Marinelli C, Argentini C, Skaper SD, Giusti P. Toll-like receptors 2, −3 and −4 prime microglia but not astrocytes across central nervous system regions for ATP-dependent interleukin-1β release. Sci Rep. 2014;4:6824. doi: 10.1038/srep06824. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Lane T, Lachmann HJ. The emerging role of interleukin-1β in autoinflammatory diseases. Curr Allergy Asthma Rep. 2011;11:361–68. doi: 10.1007/s11882-011-0207-6. [DOI] [PubMed] [Google Scholar]
  • 46.Pestka S, Krause CD, Sarkar D, Walter MR, Shi Y, Fisher PB. Interleukin-10 and related cytokines and receptors. Annu Rev Immunol. 2004;22:929–79. doi: 10.1146/annurev.immunol.22.012703.104622. [DOI] [PubMed] [Google Scholar]
  • 47.Schellera J, Chalarisb A, Schmidt-Arrasb D, Rose-Johnb S. The pro- and anti-inflammatory properties of the cytokine interleukin-6. Biochim Biophys Acta - Mol. Cell Res. 2011;1813:878–88. doi: 10.1016/j.bbamcr.2011.01.034. [DOI] [PubMed] [Google Scholar]
  • 48.Simpson RJ, Hammacher A, Smith DK, Matthews JM, Ward LD. Interleukin-6: structure-function relationships. Protein Sci. 1997;6:929–55. doi: 10.1002/pro.5560060501. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Pal M, Febbraio MA, Whitham M. From cytokine to myokine: the emerging role of interleukin-6 in metabolic regulation. Immunol Cell Biol. 2014;92:331–39. doi: 10.1038/icb.2014.16. [DOI] [PubMed] [Google Scholar]
  • 50.Locksley RM, Killeen N, Lenardo MJ. The TNF and TNF receptor superfamilies: integrating mammalian biology. Cell. 2001;104:487–501. doi: 10.1016/S0092-8674(01)00237-9. [DOI] [PubMed] [Google Scholar]
  • 51.Olszewski MB, Groot AJ, Dastych J, Knol EF. TNF trafficking to human mast cell granules: mature chain-dependent endocytosis. J Immunol. 2007;178:5701–09. doi: 10.4049/jimmunol.178.9.5701. [DOI] [PubMed] [Google Scholar]
  • 52.McGuire MJ, Lipsky PE, Thiele DL. Purification and characterization of dipeptidyl peptidase I from human spleen. Arch Biochem Biophys. 1992;295:280–88. doi: 10.1016/0003-9861(92)90519-3. [DOI] [PubMed] [Google Scholar]
  • 53.Small DM, Burden RE, Scott CJ. The emerging relevance of the cysteine protease cathepsin S in disease. Clin Rev Bone Miner Metab. 2011;9:122–32. doi: 10.1007/s12018-011-9095-5. [DOI] [Google Scholar]
  • 54.Archer NS, Nassif NT, O'Brien BA. Genetic variants of SLC11A1 are associated with both autoimmune and infectious diseases: systematic review and meta-analysis. Genes Immun. 2015;16:275–83. doi: 10.1038/gene.2015.8. [DOI] [PubMed] [Google Scholar]
  • 55.Villadangos JA. Presentation of antigens by MHC class II molecules: getting the most out of them. Mol Immunol. 2001;38:329–46. doi: 10.1016/S0161-5890(01)00069-4. [DOI] [PubMed] [Google Scholar]
  • 56.Hahn M, Nicholson MJ, Pyrdol J, Wucherpfennig KW. Unconventional topology of self peptide-major histocompatibility complex binding by a human autoimmune T cell receptor. Nat Immunol. 2005;6:490–96. doi: 10.1038/ni1187. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Menéndez-Benito V, Neefjes J. Autophagy in MHC class II presentation: sampling from within. Immunity. 2007;26:1–3. doi: 10.1016/j.immuni.2007.01.005. [DOI] [PubMed] [Google Scholar]
  • 58.Saunders PA, Hendrycks VR, Lidinsky WA, Woods ML. PD-L2: PD-1 involvement in T cell proliferation, cytokine production, and integrin-mediated adhesion. Eur J Immunol. 2005;35:3561–69. doi: 10.1002/eji.200526347. [DOI] [PubMed] [Google Scholar]
  • 59.Schoenborn JR, Wilson CB. Regulation of interferon-gamma during innate and adaptive immune responses. Adv Immunol. 2007;96:41–101. doi: 10.1016/S0065-2776(07)96002-2. [DOI] [PubMed] [Google Scholar]
  • 60.Miller AM. Role of IL-33 in inflammation and disease. J Inflamm (Lond) 2011;8:22. doi: 10.1186/1476-9255-8-22. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Ruffoli R, Bartalucci A, Frati A, Fornai F. Ultrastructural studies of ALS mitochondria connect altered function and permeability with defects of mitophagy and mitochondriogenesis. Front Cell Neurosci. 2015;9:341. doi: 10.3389/fncel.2015.00341. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Carrì MT, D'Ambrosi N, Cozzolino M. Pathways to mitochondrial dysfunction in ALS pathogenesis. Biochem Biophys Res Commun. 2016 doi: 10.1016/j.bbrc.2016.07.055. [DOI] [PubMed] [Google Scholar]
  • 63.Figlewicz DA, Krizus A, Martinoli MG, Meininger V, Dib M, Rouleau GA, Julien JP. Variants of the heavy neurofilament subunit are associated with the development of amyotrophic lateral sclerosis. Hum Mol Genet. 1994;3:1757–61. doi: 10.1093/hmg/3.10.1757. [DOI] [PubMed] [Google Scholar]
  • 64.Asai DJ, Brokaw CJ. Dynein heavy chain isoforms and axonemal motility. Trends Cell Biol. 1993;3:398–402. doi: 10.1016/0962-8924(93)90090-N. [DOI] [PubMed] [Google Scholar]
  • 65.Chapelin C, Duriez B, Magnino F, Goossens M, Escudier E, Amselem S. Isolation of several human axonemal dynein heavy chain genes: genomic structure of the catalytic site, phylogenetic analysis and chromosomal assignment. FEBS Lett. 1997;412:325–30. doi: 10.1016/S0014-5793(97)00800-4. [DOI] [PubMed] [Google Scholar]
  • 66.McKenney RJ, Huynh W, Tanenbaum ME, Bhabha G, Vale RD. Activation of cytoplasmic dynein motility by dynactin-cargo adapter complexes. Science. 2014;345:337–41. doi: 10.1126/science.1254198. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Giorda R, Peakman M, Tan KC, Vergani D, Trucco M. Glutamic acid decarboxylase expression in islets and brain. Lancet. 1991;338:1469–70. doi: 10.1016/0140-6736(91)92781-V. [DOI] [PubMed] [Google Scholar]
  • 68.Kaufman DL, McGinnis JF, Krieger NR, Tobin AJ. Brain glutamate decarboxylase cloned in lambda gt-11: fusion protein produces gamma-aminobutyric acid. Science. 1986;232:1138–40. doi: 10.1126/science.3518061. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Burmakina S, Geng Y, Chen Y, Fan QR. Heterodimeric coiled-coil interactions of human GABAB receptor. Proc Natl Acad Sci USA. 2014;111:6958–63. doi: 10.1073/pnas.1400081111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Hallermann S, Fejtova A, Schmidt H, Weyhersmüller A, Silver RA, Gundelfinger ED, Eilers J. Bassoon speeds vesicle reloading at a central excitatory synapse. Neuron. 2010;68:710–23. doi: 10.1016/j.neuron.2010.10.026. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Davydova D, Marini C, King C, Klueva J, Bischof F, Romorini S, Montenegro-Venegas C, Heine M, Schneider R, Schröder MS Altrock WD, Henneberger C, Rusakov DA, et al. Bassoon specifically controls presynaptic P/Q-type Ca(2+) channels via RIM-binding protein. Neuron. 2014;82:181–94. doi: 10.1016/j.neuron.2014.02.012. [DOI] [PubMed] [Google Scholar]
  • 72.Fenster SD, Garner CC. Gene structure and genetic localization of the PCLO gene encoding the presynaptic active zone protein Piccolo. Int J Dev Neurosci. 2002;20:161–71. doi: 10.1016/S0736-5748(02)00046-1. [DOI] [PubMed] [Google Scholar]
  • 73.Fenster SD, Chung WJ, Zhai R, Cases-Langhoff C, Voss B, Garner AM, Kaempf U, Kindler S, Gundelfinger ED, Garner CC. Piccolo, a presynaptic zinc finger protein structurally related to bassoon. Neuron. 2000;25:203–14. doi: 10.1016/S0896-6273(00)80883-1. [DOI] [PubMed] [Google Scholar]
  • 74.Matosin N, Green MJ, Andrews JL, Newell KA, Fernandez-Enright F. Possibility of a sex-specific role for a genetic variant in FRMPD4 in schizophrenia, but not cognitive function. Neuroreport. 2016;27:33–38. doi: 10.1097/WNR.0000000000000491. [DOI] [PubMed] [Google Scholar]
  • 75.Kremerskothen J, Kindler S, Finger I, Veltel S, Barnekow A. Postsynaptic recruitment of Dendrin depends on both dendritic mRNA transport and synaptic anchoring. J Neurochem. 2006;96:1659–66. doi: 10.1111/j.1471-4159.2006.03679.x. [DOI] [PubMed] [Google Scholar]
  • 76.Naeve GS, Ramakrishnan M, Kramer R, Hevroni D, Citri Y, Theill LE. Neuritin: a gene induced by neural activity and neurotrophins that promotes neuritogenesis. Proc Natl Acad Sci USA. 1997;94:2648–53. doi: 10.1073/pnas.94.6.2648. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Shimada T, Yoshida T, Yamagata K. Neuritin mediates activity-dependent axonal branch formation in part via FGF signaling. J Neurosci. 2016;36:4534–48. doi: 10.1523/JNEUROSCI.1715-15.2016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Cahoy JD, Emery B, Kaushal A, Foo LC, Zamanian JL, Christopherson KS, Xing Y, Lubischer JL, Krieg PA, Krupenko SA, Thompson WJ, Barres BA. A transcriptome database for astrocytes, neurons, and oligodendrocytes: a new resource for understanding brain development and function. J Neurosci. 2008;28:264–78. doi: 10.1523/JNEUROSCI.4178-07.2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Emery B, Agalliu D, Cahoy JD, Watkins TA, Dugas JC, Mulinyawe SB, Ibrahim A, Ligon KL, Rowitch DH, Barres BA. Myelin gene regulatory factor is a critical transcriptional regulator required for CNS myelination. Cell. 2009;138:172–85. doi: 10.1016/j.cell.2009.04.031. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80.Li Z, Park Y, Marcotte EM. A Bacteriophage tailspike domain promotes self-cleavage of a human membrane-bound transcription factor, the myelin regulatory factor MYRF. PLoS Biol. 2013;11:e1001624. doi: 10.1371/journal.pbio.1001624. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Koenning M, Jackson S, Hay CM, Faux C, Kilpatrick TJ, Willingham M, Emery B. Myelin gene regulatory factor is required for maintenance of myelin and mature oligodendrocyte identity in the adult CNS. J Neurosci. 2012;32:12528–42. doi: 10.1523/JNEUROSCI.1069-12.2012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Sun Y, Meijer DH, Alberta JA, Mehta S, Kane MF, Tien AC, Fu H, Petryniak MA, Potter GB, Liu Z, Powers JF, Runquist IS, Rowitch DH, Stiles CD. Phosphorylation state of Olig2 regulates proliferation of neural progenitors. Neuron. 2011;69:906–17. doi: 10.1016/j.neuron.2011.02.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.LeBlanc SE, Ward RM, Svaren J. Neuropathy-associated Egr2 mutants disrupt cooperative activation of myelin protein zero by Egr2 and Sox10. Mol Cell Biol. 2007;27:3521–29. doi: 10.1128/MCB.01689-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Li H, Lu Y, Smith HK, Richardson WD. Olig1 and Sox10 interact synergistically to drive myelin basic protein transcription in oligodendrocytes. J Neurosci. 2007;27:14375–82. doi: 10.1523/JNEUROSCI.4456-07.2007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Zhu Q, Zhao X, Zheng K, Li H, Huang H, Zhang Z, Mastracci T, Wegner M, Chen Y, Sussel L, Qiu M. Genetic evidence that Nkx2.2 and Pdgfra are major determinants of the timing of oligodendrocyte differentiation in the developing CNS. Development. 2014;141:548–55. doi: 10.1242/dev.095323. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Connor JR. Iron acquisition and expression of iron regulatory proteins in the developing brain: manipulation by ethanol exposure, iron deprivation and cellular dysfunction. Dev Neurosci. 1994;16:233–47. doi: 10.1159/000112115. [DOI] [PubMed] [Google Scholar]
  • 87.Erikson KM, Pinero DJ, Connor JR, Beard JL. Regional brain iron, ferritin and transferrin concentrations during iron deficiency and iron repletion in developing rats. J Nutr. 1997;127:2030–38. doi: 10.1093/jn/127.10.2030. [DOI] [PubMed] [Google Scholar]
  • 88.Diehl HJ, Schaich M, Budzinski RM, Stoffel W. Individual exons encode the integral membrane domains of human myelin proteolipid protein. Proc Natl Acad Sci USA. 1986;83:9807–11. doi: 10.1073/pnas.83.24.9807. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89.Griffiths I, Klugmann M, Anderson T, Yool D, Thomson C, Schwab MH, Schneider A, Zimmermann F, McCulloch M, Nadon N, Nave KA. Axonal swellings and degeneration in mice lacking the major proteolipid of myelin. Science. 1998;280:1610–13. doi: 10.1126/science.280.5369.1610. [DOI] [PubMed] [Google Scholar]
  • 90.Marty MC, Alliot F, Rutin J, Fritz R, Trisler D, Pessac B. The myelin basic protein gene is expressed in differentiated blood cell lineages and in hemopoietic progenitors. Proc Natl Acad Sci USA. 2002;99:8856–61. doi: 10.1073/pnas.122079599. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91.Montague P, McCallion AS, Davies RW, Griffiths IR. Myelin-associated oligodendrocytic basic protein: a family of abundant CNS myelin proteins in search of a function. Dev Neurosci. 2006;28:479–87. doi: 10.1159/000095110. [DOI] [PubMed] [Google Scholar]
  • 92.Roth MP, Malfroy L, Offer C, Sevin J, Enault G, Borot N, Pontarotti P, Coppin H. The human myelin oligodendrocyte glycoprotein (MOG) gene: complete nucleotide sequence and structural characterization. Genomics. 1995;28:241–50. doi: 10.1006/geno.1995.1137. [DOI] [PubMed] [Google Scholar]
  • 93.Lossos A, Elazar N, Lerer I, Schueler-Furman O, Fellig Y, Glick B, Zimmerman BE, Azulay H, Dotan S, Goldberg S, Gomori JM, Ponger P, Newman JP, et al. Myelin-associated glycoprotein gene mutation causes Pelizaeus-Merzbacher disease-like disorder. Brain. 2015;138:2521–36. doi: 10.1093/brain/awv204. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94.Kim T, Fiedler K, Madison DL, Krueger WH, Pfeiffer SE. Cloning and characterization of MVP17: a developmentally regulated myelin protein in oligodendrocytes. J Neurosci Res. 1995;42:413–22. doi: 10.1002/jnr.490420316. [DOI] [PubMed] [Google Scholar]
  • 95.Kasama-Yoshida H, Tohyama Y, Kurihara T, Sakuma M, Kojima H, Tamai Y. A comparative study of 2',3'-cyclic-nucleotide 3'-phosphodiesterase in vertebrates: cDNA cloning and amino acid sequences for chicken and bullfrog enzymes. J Neurochem. 1997;69:1335–42. doi: 10.1046/j.1471-4159.1997.69041335.x. [DOI] [PubMed] [Google Scholar]
  • 96.Kursula P. Structural properties of proteins specific to the myelin sheath. Amino Acids. 2008;34:175–85. doi: 10.1007/s00726-006-0479-7. [DOI] [PubMed] [Google Scholar]
  • 97.Lappe-Siefke C, Goebbels S, Gravel M, Nicksch E, Lee J, Braun PE, Griffiths IR, Nave KA. Disruption of Cnp1 uncouples oligodendroglial functions in axonal support and myelination. Nat Genet. 2003;33:366–74. doi: 10.1038/ng1095. [DOI] [PubMed] [Google Scholar]
  • 98.Nardo G, Iennaco R, Fusi N, Heath PR, Marino M, Trolese MC, Ferraiuolo L, Lawrence N, Shaw PJ, Bendotti C. Transcriptomic indices of fast and slow disease progression in two mouse models of amyotrophic lateral sclerosis. Brain. 2013;136:3305–32. doi: 10.1093/brain/awt250. [DOI] [PubMed] [Google Scholar]
  • 99.Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, et al. Bioconductor: open software development for computational biology and bioinformatics. Genome Biol. 2004;5:R80. doi: 10.1186/gb-2004-5-10-r80. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 100.Barrachina M, Castaño E, Ferrer I. TaqMan PCR assay in the control of RNA normalization in human post-mortem brain tissue. Neurochem Int. 2006;49:276–84. doi: 10.1016/j.neuint.2006.01.018. [DOI] [PubMed] [Google Scholar]
  • 101.Durrenberger PF, Fernando FS, Magliozzi R, Kashefi SN, Bonnert TP, Ferrer I, Seilhean D, Nait-Oumesmar B, Schmitt A, Gebicke-Haerter PJ, Falkai P, Grünblatt E, Palkovits M, et al. Selection of novel reference genes for use in the human central nervous system: a BrainNet Europe Study. Acta Neuropathol. 2012;124:893–903. doi: 10.1007/s00401-012-1027-z. [DOI] [PubMed] [Google Scholar]

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