Increased frequency of the autism broader phenotype in mothers transmitting etiological CNVs to sons affected by Autism Spectrum Disorder (ASD)

Autism Spectrum Disorder (ASD) is a frequent and complex neurodevelopmental disorder, characterized by impairments in social communication and repetitive behaviors and with a high male to female ratio: ~4:1. Genetic factors, including rare Copy Number Variants (CNVs), have a substantial impact in ASD risk1, and are associated with specific phenotypic manifestations2. Recent studies reported that rare inherited CNVs are enriched in mothers of ASD children compared with mothers of controls and are preferentially transmitted from mothers to ASD children suggesting a sex bias in CNV transmission; further, the imbalanced transmission of small pathogenic CNVs from unaffected mothers to their sons with ASD has been described3,4. An increased prevalence of autism-like personality traits is found in unaffected relatives of ASD children, suggesting a genetic liability of a broader autism phenotype (BAP)5. The BAP in parents of autistic children can be assessed by the Social Responsiveness Scale (SRS)6 and Broad Autism Phenotype Questionnaire (BAPQ)7 reports. The SRS is 65-item questionnaire to identify sub-clinical social impairments and interpersonal behaviour in individuals. The BAPQ is a 36-item questionnaire measures social aloofness, rigid personality, and pragmatic language deficits in both parents and children.

Maternal CNV transmission to sons with autism correlates with phenotypic traits in the Broad Autism Phenotype

Autism Spectrum Disorder (ASD): Common neurodevelopmental disorder, global prevalence ~1 %; Persistent deficits in social communication and social interaction; restricted and repetitive behavior, interests, or activities – highly heterogeneous clinical presentation; Male to female ratio ~4:1.

Neuroradiological findings expand the phenotype of OPA1-related mitochondrial dysfunction

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Characterization of the behavioural phenotype of calpain-knockout mice

Dissertação de Mestrado, Ciências Biomédicas, Departamento de Ciências Biomédicas e Medicina, Universidade do Algarve, 2016

Syndromic scalp defects : genotype-phenotype studies in Johanson-Blizzard syndrome and Adams-Oliver syndrome

Otto-von-Guericke-Universität Magdeburg, Fakultät für Naturwissenschaften, Dissertation, 2016

Genetic and virulence-phenotype characterization of serotypes 2 and 9 of Streptococcus suis swine isolates

The aim of this study was to analyze the genetic characteristics and virulence phenotypes of Streptococcus suis, specifically, in clinical isolates of serotypes 2 and 9 (n = 195), obtained from diverse geographical areas across Spain. Pulsed-field gel electrophoresis (PFGE) typing identified 97 genetic profiles, 68% of which were represented by single isolates, indicative of a substantial genetic diversity among the S. suis isolates analyzed. Five PFGE profiles accounted for 33.3% of the isolates and were isolated from 38% of the herds in nine different provinces, indicative of the bacterium's widespread distribution in the Spanish swine population. Representative isolates of the most prevalent PFGE profiles of both serotypes were subjected to multilocus sequence typing (MLST) analysis. The results indicated that serotypes 2 and 9 have distinct genetic backgrounds. Serotype 2 isolates belong to the ST1 complex, a highly successful clone that has spread over most European countries. In accordance with isolates of this complex, most serotype 2 isolates also expressed the phenotype MRP(+)EF(+)SLY(+). Serotype 9 isolates belong to the ST61 complex, which is distantly related to the widespread European ST87 clone. Also, in contrast to most isolates of the European ST87 clone, which express the large variant MRP*, the majority of serotype 9 isolates (97.9%) did not express the protein.

Functional relationship of colorectal cancer-associated glycans with malignant phenotype and transcriptome changes

Glycosyltransferases ST6GAL1 and B4GALNT2 (and their cognate antigens Sia6LacNAc and Sda, respectively) are associated with colorectal cancer (CRC) but it is not fully clear their biological and clinical significance. We explored the clinical relevance of both glycosyltransferases by interrogating The Cancer Genome Atlas (TCGA) database while the phenotypic/transcriptomic effects of ST6GAL1/B4GALNT2 overexpression were studied in genetically modified CRC cell lines. Transcriptomic data from CRC patients in TCGA database suggested a moderate impact of ST6GAL1 on CRC progression, although it was not possible to define a clear role for this glycosyltransferase. Transcriptomic analysis of ST6GAL1-transduced cell lines revealed a much deeper effect of ST6GAL1 on gene expression in SW948 than in SW48. The overexpression of ST6GAL1 induced opposite effects on soft agar growth and wound healing in both cell lines. These results indicate that the impact of a cancer-associated glycosyltransferase change on phenotype/transcriptome can be extremely variable, depending on the molecular context of the tumor cell. On the contrary, transcriptomic analysis of B4GALNT2-modified cell lines together with TCGA database survey demonstrated a strong impact of B4GALNT2 on the transcriptional activity of CRC cells, in particular its association with a better prognosis. We suggest an anti-tumoral role of B4GALNT2 in CRC. We also investigated the glycan changes related to ST6GAL1/B4GALNT2 expression in a small cohort of tissues/plasma as well as the N-glycomic profile of CRC, normal and polyp tissues. We found an increase of ST6GAL1 activity in CRC and inflammatory bowel disease plasma samples comparing with plasma from healthy donors. A different Sda protein carrier pattern was observed between healthy donors and CRC plasma samples. β-arrestin 1 is a possible candidate as Sda carrier protein in plasma samples although future validation studies are needed. The alterations found in the N-glycan pattern highlight the importance of N-glycome as a molecular signature in cancer.

Impact of Glycosyltransferases on the Phenotype, Signaling and Transcriptome of Colorectal Cancer Cell Lines. Focus on the role of glycosyltransferases B4GALNT2 and FUT6 and their cognate Sda and sLex antigens

In colorectal cancer (CRC), two carbohydrate structures are modulated: the Sda antigen, synthesized by B4GALNT2, and sLex antigen, mainly synthesized by FUT6. sLex antigen is often overexpressed and associated with worse prognosis; B4GALNT2/Sda antigen are dramatically downregulated but their role in tumor progression and development is not fully clear. TCGA interrogation revealed a dramatic down-regulation of B4GALNT2 mRNA in CRC, compared with normal samples. Patients with higher B4GALNT2 mRNA in CRC samples displayed longer survival. Yet, methylation and miRNA expression play a relevant role in B4GALNT2 downregulation in CRC. To clarify the mechanisms linking the B4GALNT2/Sda expression level to CRC phenotype, three different CRC cell lines were modified to express B4GALNT2: LS174T cell line, in which the constitutively expressed sLex antigen was partially replaced by Sda; SW480/SW620 pair, both lacking Sda and sLex antigens. In LS174T cells, the expression of B4GALNT2 reduced the ability to grow in poor adherence conditions and the expression of ALDH, a stemness marker. In SW620 cells, B4GALNT2 expression impacted on the main aspects of malignancy. In SW480 cells the expression of B4GALNT2 left unchanged the proliferation rate and the wound healing ability. To clarify the impact of sLex on CRC phenotype, the SW480/SW620 pair were permanently transfected to express FUT6 cDNA. In both cell lines, overexpression of FUT6/sLex boosted the clonogenic ability in standard growth conditions. Conversely, the growth in soft agar and the capacity to close a wound were enhanced only in SW620 cells. Transcriptome analysis of CRC cell lines transfected either with B4GALNT2 or FUT6 showed a relevant impact of both enzymes on gene expression modulation. Overall, current data may help to personalize therapies for CRC patients according to the B4GALNT2 levels and support a causal effect of this glycosyltransferase on reducing malignancy independently of sLex inhibition.

Genotype-phenotype correlation in trisomy 21

Down syndrome (DS) or trisomy 21 (T21) is the most common genetic cause of intellectual disability (ID). Subjects with DS are characterized by complex and variable clinical features including intellectual disability (ID) and craniofacial dysmorphisms. The aim of the thesis is to uncover genotype-phenotype relationships in DS possibly useful to devise therapies based on molecular and cellular mechanisms. In this work, we have investigated different aspects of DS: - we have collected clinical data of children with DS and we have evaluated the cognitive impairment through specific cognitive tests - we have analysed genomics of DS through the study of partial trisomy (PT21) cases. We have described new PT21 cases confirming the hypothesis of the highly restricted DS critical region (HR-DSCR) recently identified as the minimal region whose duplication is shared by all PT21 subjects diagnosed with DS, while it is absent in all PT21 non-DS subjects. Moreover, we have characterized new transcripts included in the HR-DSCR; - we have studied gene expression through RNAseq in blood cells of children with DS; -metabolic alterations in plasma of children with DS were identified through different methods: Nuclear Magnetic resonance, routine blood exams performed during the follow up of the subjects and enzyme-linked immunosorbent assay (ELISA); - to test possible correlations between specific Hsa21 regions and alterations in transcriptomics and metabolomics, we have used trisomic iPSCs and differentiated them into neuronal derivatives. Significant alterations in gene expression and metabolic profiles have been identified, as well as significant correlations with clinical and cognitive aspects. Specific genes and the HR-DSCR may play a role in these alterations: cell models need to be developed to investigate this role. Neural derivatives from trisomic iPSCs are a promising model to better understand genotype-phenotype correlations in DS.