Parkinson's disease and multiple system atrophy patient iPSC-derived oligodendrocytes exhibit alpha-synuclein-induced changes in maturation and immune reactive properties.

SignificanceOur results demonstrate the existence of early cellular pathways and network alterations in oligodendrocytes in the alpha-synucleinopathies Parkinson's disease and multiple system atrophy. They further reveal the involvement of an immune component triggered by alpha-synuclein protein, as well as a connection between (epi)genetic changes and immune reactivity in multiple system atrophy. The knowledge generated in this study could be used to devise novel therapeutic approaches to treat synucleinopathies.

Insertion of the CXXC domain of KMT2A into YAP1: An unusual mechanism behind the formation of a chimeric oncogenic protein.

Most neoplasia-associated gene fusions are formed through the fusion of the 5'-part of one gene with the 3'-part of another. We here describe a unique mechanism, by which a part of the KMT2A gene through an insertion replaces part of the YAP1 gene. The resulting YAP1::KMT2A::YAP1 (YKY) fusion was verified by RT-PCR in three cases of sarcoma morphologically resembling sclerosing epithelioid fibrosarcoma (SEF-like sarcoma). In all cases, a portion (exons 4/5-6) encoding the CXXC domain of KMT2A was inserted between exon 4/5 and exon 8/9 of YAP1. The inserted sequence from KMT2A thus replaced exons 5/6-8 of YAP1, which encode an important regulatory sequence of YAP1. To evaluate the cellular impact of the YKY fusion, global gene expression profiles from fresh frozen and formalin-fixed YKY-expressing sarcomas were compared with control tumors. The effects of the YKY fusion, as well as YAP1::KMT2A and KMT2A::YAP1 fusion constructs, were further studied in immortalized fibroblasts. Analysis of differentially upregulated genes revealed significant overlap between tumors and cell lines expressing YKY, as well as with previously reported YAP1 fusions. Pathway analysis of upregulated genes in cells and tumors expressing YKY revealed an enrichment of genes included in key oncogenic signaling pathways, such as Wnt and Hedgehog. As these pathways are known to interact with YAP1, it seems likely that the pathogenesis of sarcomas with the YKY fusion is linked to distorted YAP1 signaling.

Circulating plasma microRNAs in systemic sclerosis-associated pulmonary arterial hypertension.

OBJECTIVES: SSc-associated pulmonary arterial hypertension (SSc-APAH) is a late but devastating complication of SSc. Early identification of SSc-APAH may improve survival. We examined the role of circulating miRNAs in SSc-APAH. METHODS: Using quantitative RT-PCR the abundance of mature miRNAs in plasma was determined in 85 female patients with ACA-positive lcSSc. Twenty-two of the patients had SSc-APAH. Sixty-three SSc controls without PAH were matched for disease duration. Forty-six selected miRNA plasma levels were correlated with clinical data. Longitudinal samples were analysed from 14 SSc-APAH and 27 SSc patients. RESULTS: The disease duration was 12 years for the SSc-APAH patients and 12.7 years for the SSc controls. Plasma expression levels of 11 miRNAs were lower in patients with SSc-APAH. Four miRNAs displayed higher plasma levels in SSc-APAH patients compared with SSc controls. There was significant difference between groups for miR-20a-5p and miR-203a-3p when correcting for multiple comparisons (P = 0.002 for both). Receiver operating characteristics curve showed AUC = 0.69-0.83 for miR-21-5p and miR-20a-5p or their combination. miR-20a-5p and miR-203a-3p correlated inversely with NT-pro-Brain Natriuretic Protein levels (r = -0.42 and -0.47). Mixed effect model analysis could not identify any miRNAs as predictor of PAH development. However, miR-20a-5p plasma levels were lower in the longitudinal samples of SSc-APAH patients than in the SSc controls. CONCLUSIONS: Our study links expression levels of the circulating plasma miRNAs, especially miR-20a-5p and miR-203a-3p, to the occurrence of SSc-APAH in female patients with ACA-positive lcSSc.

Specific autoantibody profiles and disease subgroups correlate with circulating micro-RNA in systemic sclerosis.

OBJECTIVE: To evaluate the expression profiles of cell-free plasma miRNAs in SSc and to characterize their correlation with disease subgroups (lcSSc and dcSSc) and with autoantibody profiles. METHODS: Using quantitative RT-PCR, the abundance of 45 mature miRNAs in plasma was determined in 95 patients (lcSSc = 63; dcSSc = 32), representing the following autoantibody subgroups: ACA, anti-DNA topoisomerase I, anti-RNA polymerase III and anti-U1-ribonucleoprotein. MiRNA data were correlated with clinical and paraclinical data. Multiple regression was used to model membership of the lcSSc, dcSSc and autoantibody subgroups, based on miRNA expression profiles. RESULTS: Thirty-six miRNAs were measurable in all samples. Four (miRNA-223, -181b, -342-3p and -184) were differently expressed in lcSSc and dcSSc (false discovery rate < 0.05). Ten miRNAs exhibited statistically significantly different levels in one or more autoantibody groups, and five (miRNA-409, -184, -92a, -29a and -101) remained significant after correction for multiple comparisons. Multiple regression models accurately predicted ACA and anti-DNA topoisomerase I antibody-positive patients (area under the curve (AUC) = 0.97 and 0.93, respectively) as well as membership of the dcSSc and lcSSc groups (AUC = 0.88). CONCLUSION: Circulating miRNA profiles differ between lcSSc and dcSSc patients and between patients with different autoantibodies. This is the first time autoantibody profiles, disease phenotypes and plasma miRNA profiles have been shown to correlate in an autoimmune disease. The data support a pathobiological role of miRNAs because specific miRNAs associate with autoantibody profiles of known diagnostic and prognostic value.

TNF-α and α-synuclein fibrils differently regulate human astrocyte immune reactivity and impair mitochondrial respiration.

Here, we examine the cellular changes triggered by tumor necrosis factor alpha (TNF-α) and different alpha-synuclein (αSYN) species in astrocytes derived from induced pluripotent stem cells. Human astrocytes treated with TNF-α display a strong reactive pro-inflammatory phenotype with upregulation of pro-inflammatory gene networks, activation of the nuclear factor κB (NF-κB) pathway, and release of pro-inflammatory cytokines, whereas those treated with high-molecular-weight αSYN fibrils acquire a reactive antigen (cross)-presenting phenotype with upregulation of major histocompatibility complex (MHC) genes and increased human leukocyte antigen (HLA) molecules at the cell surface. Surprisingly, the cell surface location of MHC proteins is abrogated by larger F110 fibrillar polymorphs, despite the upregulation of MHC genes. Interestingly, TNF-α and αSYN fibrils compete to drive the astrocyte immune reactive response. The astrocyte immune responses are accompanied by an impaired mitochondrial respiration, which is exacerbated in Parkinson's disease (PD) astrocytes. Our data provide evidence for astrocytic involvement in PD pathogenesis and reveal their complex immune reactive responses to exogenous stressors.

NF-Y influences directionality of transcription from the bidirectional Mrps12/Sarsm promoter in both mouse and human cells.

The bidirectional mammalian promoter for mitoribosomal protein S12 (Mrps12) and mitochondrial seryl-tRNA ligase (Sarsm) contains an array of four CCAAT boxes separated by 34-49 bp. In mouse, these elements were shown previously to interact with transcription factor NF-Y and to be required for efficient transcription. Here we show that the CCAAT boxes of the human promoter also influence relative transcriptional activities in the two directions, although they are not absolutely required for transcription. By mutating CCAAT boxes in all possible permutations, we demonstrate that their function is combinatorial, although not simply additive. EMSA indicated that NF-Y interacts with the array in two alternate ways related to the directional selectivity of transcription. Inversion and/or exchange of individual CCAAT boxes had minimal effects on directional selectivity. Over-expression of wild-type or dominant-negative NF-Y affected transcription in the Sarsm direction only, but in human cells, concomitant expression of dominant-negative constructs for other factors was needed to reveal such effects. We propose that the array of NF-Y type CCAAT boxes maintains bidirectional transcription with an appropriate directional selectivity. Computational analysis confirmed that NF-Y type CCAAT boxes are found preferentially in bidirectional promoters, but many such promoters lack them and must be regulated in another way.

FGF family members differentially regulate maturation and proliferation of stem cell-derived astrocytes.

The glutamate transporter 1 (GLT1) is upregulated during astrocyte development and maturation in vivo and is vital for astrocyte function. Yet it is expressed at low levels by most cultured astrocytes. We previously showed that maturation of human and mouse stem cell-derived astrocytes - including functional glutamate uptake - could be enhanced by fibroblast growth factor (FGF)1 or FGF2. Here, we examined the specificity and mechanism of action of FGF2 and other FGF family members, as well as neurotrophic and differentiation factors, on mouse embryonic stem cell-derived astrocytes. We found that some FGFs - including FGF2, strongly increased GLT1 expression and enhanced astrocyte proliferation, while others (FGF16 and FGF18) mainly affected maturation. Interestingly, BMP4 increased astrocytic GFAP expression, and BMP4-treated astrocytes failed to promote the survival of motor neurons in vitro. Whole transcriptome analysis showed that FGF2 treatment regulated multiple genes linked to cell division, and that the mRNA encoding GLT1 was one of the most strongly upregulated of all astrocyte canonical markers. Since GLT1 is expressed at reduced levels in many neurodegenerative diseases, activation of this pathway is of potential therapeutic interest. Furthermore, treatment with FGFs provides a robust means for expansion of functionally mature stem cell-derived astrocytes for preclinical investigation.

Simulation of the Dynamics of Primary Immunodeficiencies in B Cells.

Primary immunodeficiencies (PIDs) are a group of over 300 hereditary, heterogeneous, and mainly rare disorders that affect the immune system. Various aspects of immune system and PID proteins and genes have been investigated and facilitate systems biological studies of effects of PIDs on B cell physiology and response. We reconstructed a B cell network model based on data for the core B cell receptor activation and response processes and performed semi-quantitative dynamic simulations for normal and B cell PID failure modes. The results for several knockout simulations correspond to previously reported molecular studies and reveal novel mechanisms for PIDs. The simulations for CD21, CD40, LYN, MS4A1, ORAI1, PLCG2, PTPRC, and STIM1 indicated profound changes to major transcription factor signaling and to the network. Significant effects were observed also in the BCL10, BLNK, BTK, loss-of-function CARD11, IKKB, MALT1, and NEMO, simulations whereas only minor effects were detected for PIDs that are caused by constitutively active proteins (PI3K, gain-of-function CARD11, KRAS, and NFKBIA). This study revealed the underlying dynamics of PID diseases, confirms previous observations, and identifies novel candidates for PID diagnostics and therapy.

Pan-cancer analysis of neoepitopes.

Somatic variations are frequent and important drivers in cancers. Amino acid substitutions can yield neoantigens that are detected by the immune system. Neoantigens can lead to immune response and tumor rejection. Although neoantigen load and occurrence have been widely studied, a detailed pan-cancer analysis of the occurrence and characterization of neoepitopes is missing. We investigated the proteome-wide amino acid substitutions in 8-, 9-, 10-, and 11-mer peptides in 30 cancer types with the NetMHC 4.0 software. 11,316,078 (0.24%) of the predicted 8-, 9-, 10-, and 11-mer peptides were highly likely neoepitope candidates and were derived from 95.44% of human proteins. Binding affinity to MHC molecules is just one of the many epitope features. The most likely epitopes are those which are detected by several MHCs and of several peptide lengths. 9-mer peptides are the most common among the high binding neoantigens. 0.17% of all variants yield more than 100 neoepitopes and are considered as the best candidates for any application. Amino acid distributions indicate that variants at all positions in neoepitopes of any length are, on average, more hydrophobic than the wild-type residues. We characterized properties of neoepitopes in 30 cancer types and estimated the likely numbers of tumor-derived epitopes that could induce an immune response. We found that amino acid distributions, at all positions in neoepitopes of all lengths, contain more hydrophobic residues than the wild-type sequences implying that the hydropathy nature of neoepitopes is an important property. The neoepitope characteristics can be employed for various applications including targeted cancer vaccine development for precision medicine.

Simulation of the dynamics of primary immunodeficiencies in CD4+ T-cells.

Primary immunodeficiencies (PIDs) form a large and heterogeneous group of mainly rare disorders that affect the immune system. T-cell deficiencies account for about one-tenth of PIDs, most of them being monogenic. Apart from genetic and clinical information, lots of other data are available for PID proteins and genes, including functions and interactions. Thus, it is possible to perform systems biology studies on the effects of PIDs on T-cell physiology and response. To achieve this, we reconstructed a T-cell network model based on literature mining and TPPIN, a previously published core T-cell network, and performed semi-quantitative dynamic network simulations on both normal and T-cell PID failure modes. The results for several loss-of-function PID simulations correspond to results of previously reported molecular studies. The simulations for TCR PTPRC, LCK, ZAP70 and ITK indicate profound changes to numerous proteins in the network. Significant effects were observed also in the BCL10, CARD11, MALT1, NEMO, IKKB and MAP3K14 simulations. No major effects were observed for PIDs that are caused by constitutively active proteins. The T-cell model facilitates the understanding of the underlying dynamics of PID disease processes. The approach confirms previous knowledge about T-cell signaling network and indicates several new important proteins that may be of interest when developing novel diagnosis and therapies to treat immunological defects.

Identification of core T cell network based on immunome interactome.

BACKGROUND: Data-driven studies on the dynamics of reconstructed protein-protein interaction (PPI) networks facilitate investigation and identification of proteins important for particular processes or diseases and reduces time and costs of experimental verification. Modeling the dynamics of very large PPI networks is computationally costly. RESULTS: To circumvent this problem, we created a link-weighted human immunome interactome and performed filtering. We reconstructed the immunome interactome and weighed the links using jackknife gene expression correlation of integrated, time course gene expression data. Statistical significance of the links was computed using the Global Statistical Significance (GloSS) filtering algorithm. P-values from GloSS were computed for the integrated, time course gene expression data. We filtered the immunome interactome to identify core components of the T cell PPI network (TPPIN). The interconnectedness of the major pathways for T cell survival and response, including the T cell receptor, MAPK and JAK-STAT pathways, are maintained in the TPPIN network. The obtained TPPIN network is supported both by Gene Ontology term enrichment analysis along with study of essential genes enrichment. CONCLUSIONS: By integrating gene expression data to the immunome interactome and using a weighted network filtering method, we identified the T cell PPI immune response network. This network reveals the most central and crucial network in T cells. The approach is general and applicable to any dataset that contains sufficient information.