Podcast: PMS – it’s not what you think
Healthy cortical development depends on precise regulation of transcription and translation. However, the dynamics of how proteins are expressed, function and interact across postnatal human cortical development remain poorly understood. We surveyed the proteomic landscape of 69 dorsolateral prefrontal cortex samples across seven stages of postnatal life and integrated these data with paired transcriptome data. We detected 911 proteins by liquid chromatography-mass spectrometry, and 83 were significantly associated with postnatal age (FDR < 5%). Network analysis identified three modules of co-regulated proteins correlated with age, including two modules with increasing expression involved in gliogenesis and NADH metabolism and one neurogenesis-related module with decreasing expression throughout development. Integration with paired transcriptome data revealed that these age-related protein modules overlapped with RNA modules and displayed collinear developmental trajectories. Importantly, RNA expression profiles that are dynamically regulated throughout cortical development display tighter correlations with their respective translated protein expression compared to those RNA profiles that are not. Moreover, the correspondence between RNA and protein expression significantly decreases as a function of cortical aging, especially for genes involved in myelination and cytoskeleton organization. Finally, we used this data resource to elucidate the functional impact of genetic risk loci for intellectual disability, converging on gliogenesis, myelination and ATP-metabolism modules in the proteome and transcriptome. We share all data in an interactive, searchable companion website. Collectively, our findings reveal dynamic aspects of protein regulation and provide new insights into brain development, maturation, and disease.
Genomic association studies of common or rare protein-coding variation have established robust statistical approaches to account for multiple testing. Here we present a comparable framework to evaluate rare and de novo noncoding single-nucleotide variants, insertion/deletions, and all classes of structural variation from whole-genome sequencing (WGS). Integrating genomic annotations at the level of nucleotides, genes, and regulatory regions, we define 51,801 annotation categories. Analyses of 519 autism spectrum disorder families did not identify association with any categories after correction for 4,123 effective tests. Without appropriate correction, biologically plausible associations are observed in both cases and controls. Despite excluding previously identified gene-disrupting mutations, coding regions still exhibited the strongest associations. Thus, in autism, the contribution of de novo noncoding variation is probably modest in comparison to that of de novo coding variants. Robust results from future WGS studies will require large cohorts and comprehensive analytical strategies that consider the substantial multiple-testing burden.
The prevalence of autism spectrum disorders (ASD) and the number of identified ASD-related genes have increased in recent years. The SETD5 gene encodes a SET-containing-domain 5 protein, a likely reader enzyme. Genetic evidences suggest that SETD5 malfunction contributes to ASD phenotype, such as on intellectual disability (ID) and facial dysmorphism. In this review, we mapped the clinical phenotypes of individuals carrying mutations on the SETD5 gene that are associated with ASD and other chromatinopathies (mutation in epigenetic modifiers that leads to the development of neurodevelopmental disorders such as ASD). After a detailed systematic literature review and analysis of public disease-related databank, we found so far 42 individuals carrying mutations on the SETD5 gene, with 23.8% presenting autistic-like features. Furthermore, most of mutations occurred between positions 9,480,000-9,500,000 bp on chromosome 3 (3p25.3) at the SETD5 gene locus. In all males, mutations in SETD5 presented high penetrance, while in females the clinical phenotype seems more variable with two reported cases showing normal female carriers and not presenting ASD or any ID-like symptoms. At the molecular level, SETD5 interacts with proteins of PAF1C and N-CoR complexes, leading to a possible involvement with chromatin modification pathway, which plays important roles for brain development. Together, we propose that mutations on the SETD5 gene could lead to a new syndromic condition in males, which is linked to 3p25 syndrome, and can leads to ASD-related intellectual disability and facial dysmorphism. © 2018 Wiley Periodicals, Inc. Develop Neurobiol 78: 500-518, 2018.
Keywords: SETD5 gene; SETD5 syndrome; autism spectrum disorder; genetic variants; intellectual disability; syndromic autism.
The genetic basis of autism spectrum disorder (ASD) is known to consist of contributions from de novo mutations in variant-intolerant genes. We hypothesize that rare inherited structural variants in cis-regulatory elements (CRE-SVs) of these genes also contribute to ASD. We investigated this by assessing the evidence for natural selection and transmission distortion of CRE-SVs in whole genomes of 9274 subjects from 2600 families affected by ASD. In a discovery cohort of 829 families, structural variants were depleted within promoters and untranslated regions, and paternally inherited CRE-SVs were preferentially transmitted to affected offspring and not to their unaffected siblings. The association of paternal CRE-SVs was replicated in an independent sample of 1771 families. Our results suggest that rare inherited noncoding variants predispose children to ASD, with differing contributions from each parent.