miR-27a and miR-27b regulate autophagic clearance of damaged mitochondria by targeting PTEN-induced putative kinase 1 (PINK1)

Computational prediction of miRNA candidates for human PINK1. a Computation prediction of miRNAs expressed in human midbrain with putative binding sites in the 3′UTR of human PINK1 mRNA. We first searched miRNAs that have putative binding sites in the 3′UTR of human PINK1 mRNA by utilizing several miRNA-target prediction algorithms, such as miRanda [67], miRWalk [68], RNAhybrid [37], and Targetscan [69]. Among 49 miRNAs commonly predicted by different algorithms, 7 miRNAs were known to be expressed in human midbrain [34]. miR-27a/b are predicted to have 2 putative binding sites in the 3′UTR of human PINK1 mRNA, while all other miRNAs are predicted to have 1 putative binding site. b Computational binding prediction of miR-27a/b and their binding sites in the 3′UTR of human PINK1 mRNA. The binding free energies were determined by the RNAhybrid algorithm. (PDF 68 kb

TDP-43 knockdown impairs neurite outgrowth dependent on its target histone deacetylase 6

<p>Abstract</p> <p>Background</p> <p>Trans-activation response element (TAR) DNA binding protein of 43kDa (TDP-43) is causally related to the neurodegenerative diseases frontotemporal dementia and amyotrophic lateral sclerosis being the hallmark protein in the disease-characteristic neuropathological lesions and via genetic linkage. Histone deacetylase 6 (HDAC6) is an established target of the RNA-binding protein TDP-43. HDAC6 is an unusual cytosolic deacetylase enzyme, central for a variety of pivotal cellular functions including aggregating protein turnover, microtubular dynamics and filopodia formation. All these functions are important in the context of neurodegenerative proteinopathies involving TDP-43. We have previously shown in a human embryonic kidney cell line that TDP-43 knockdown significantly impairs the removal of a toxic, aggregating polyQ ataxin-3 fusion protein in an HDAC6-dependent manner. Here we investigated the influence of TDP-43 and its target HDAC6 on neurite outgrowth.</p> <p>Results</p> <p>Human neuroblastoma SH-SY5Y cells with stably silenced TDP-43 showed a significant reduction of neurite outgrowth induced by retinoic acid and brain-derived neurotrophic factor. Re-transfection with TDP-43 as well as HDAC6 rescued retinoic acid-induced neurite outgrowth. In addition, we show that silencing of HDAC6 alone is sufficient to reduce neurite outgrowth of <it>in vitro </it>differentiated SH-SY5Y cells.</p> <p>Conclusions</p> <p>TDP-43 deficiency leads to impairment of neurite growth in an HDAC6-dependent manner, thereby contributing to neurodegenerative events in TDP-43 diseases.</p

PINK1 and Parkin:emerging themes in mitochondrial homeostasis

The Parkinson’s disease (PD)-associated protein kinase, PINK1, and ubiquitin E3 ligase, Parkin function in a common signalling pathway known to regulate mitochondrial network homeostasis and quality control including mitophagy. The multistep activation of this pathway, as well as an unexpected convergence between the post-translational modifications of ubiquitylation and phosphorylation, has added breadth to our understanding of cellular damage responses during human disease. In concert with these new insights in signal transduction, unique modalities and signatures of vertebrate mitophagy have been unravelled in vivo for the very first time. The cell biology of mammalian mitophagy, and the roles of PINK1-Parkin signalling in vivo have emerged to be more complex than previously thought

Ubiquitin and Parkinson's disease through the looking glass of Genetics

Biochemical alterations found in the brains of Parkinson's disease (PD) patients indicate that cellular stress is a major driver of dopaminergic neuronal loss. Oxidative stress, mitochondrial dysfunction, and ER stress lead to impairment of the homeostatic regulation of protein quality control pathways with a consequent increase in protein misfolding and aggregation and failure of the protein degradation machinery. Ubiquitin signalling plays a central role in protein quality control; however, prior to genetic advances, the detailed mechanisms of how impairment in the ubiquitin system was linked to PD remained mysterious. The discovery of mutations in the α-synuclein gene, which encodes the main protein misfolded in PD aggregates, together with mutations in genes encoding ubiquitin regulatory molecules, including PTEN-induced kinase 1 (PINK1), Parkin, and FBX07, has provided an opportunity to dissect out the molecular basis of ubiquitin signalling disruption in PD, and this knowledge will be critical for developing novel therapeutic strategies in PD that target the ubiquitin system

TDP-43 regulates global translational yield by splicing of exon junction complex component SKAR

TDP-43 is linked to neurodegenerative diseases including frontotemporal dementia and amyotrophic lateral sclerosis. Mostly localized in the nucleus, TDP-43 acts in conjunction with other ribonucleoproteins as a splicing co-factor. Several RNA targets of TDP-43 have been identified so far, but its role(s) in pathogenesis remains unclear. Using Affymetrix exon arrays, we have screened for the first time for splicing events upon TDP-43 knockdown. We found alternative splicing of the ribosomal S6 kinase 1 (S6K1) Aly/REF-like target (SKAR) upon TDP-43 knockdown in non-neuronal and neuronal cell lines. Alternative SKAR splicing depended on the first RNA recognition motif (RRM1) of TDP-43 and on 5′-GA-3’ and 5′-UG-3′ repeats within the SKAR pre-mRNA. SKAR is a component of the exon junction complex, which recruits S6K1, thereby facilitating the pioneer round of translation and promoting cell growth. Indeed, we found that expression of the alternatively spliced SKAR enhanced S6K1-dependent signaling pathways and the translational yield of a splice-dependent reporter. Consistent with this, TDP-43 knockdown also increased translational yield and significantly increased cell size. This indicates a novel mechanism of deregulated translational control upon TDP-43 deficiency, which might contribute to pathogenesis of the protein aggregation diseases frontotemporal dementia and amyotrophic lateral sclerosis

Protein molecular modeling techniques investigating novel TAB2 variant R347X causing cardiomyopathy and congenital heart defects in multigenerational family

Background: Haploinsufficiency of TAB 2 is known to cause congenital heart defects and cardiomyopathy due to its important roles in cardiovascular tissue, both during development and through adult life. We report a sibling pair displaying adult‐onset cardiomyopathy, hypermobility, and mild myopia. Our proband, a 39‐year‐old male, presents only with the above symptoms, while his 36‐year‐old sister was also notable for a ventricular septal defect in her infancy. Methods: Whole‐exome sequencing was utilized to identify the molecular basis of the phenotype found in two siblings. A molecular modeling technique that takes advantage of conformational sampling advances (Maxwell's demon molecular dynamics and Monte Carlo) were used to make a model of the mutant variant for comparative analytics to the wild‐type. Results: Exome sequencing revealed a novel, heterogeneous pathogenic variant in TAB 2 , c.1039 C&gt;T (p.R347X), that was present in both individuals. This pathogenic variant removes just over half the residues from the TAB 2 protein and severely impacts its functional ability, which we describe in detail. Conclusions: Analysis of the proband's family showed a history of cardiomyopathy, but no congenital heart defects or connective tissue disease. We highlight the heterogeneity in phenotype of TAB 2 pathogenic variants and confirm the pathogenicity of this new variant through neoteric protein modeling techniques

Mechanism and disease-association of E2 conjugating enzymes:lessons from UBE2T and UBE2L3

Ubiquitin signalling is a fundamental eukaryotic regulatory system, controlling diverse cellular functions. A cascade of E1, E2, and E3 enzymes is required for assembly of distinct signals, whereas an array of deubiquitinases and ubiquitin-binding modules edit, remove, and translate the signals. In the centre of this cascade sits the E2-conjugating enzyme, relaying activated ubiquitin from the E1 activating enzyme to the substrate, usually via an E3 ubiquitin ligase. Many disease states are associated with dysfunction of ubiquitin signalling, with the E3s being a particular focus. However, recent evidence demonstrates that mutations or impairment of the E2s can lead to severe disease states, including chromosome instability syndromes, cancer predisposition, and immunological disorders. Given their relevance to diseases, E2s may represent an important class of therapeutic targets. In the present study, we review the current understanding of the mechanism of this important family of enzymes, and the role of selected E2s in disease

Patient-by-patient deep transfer learning for drug-response profiling using confocal fluorescence microscopy of pediatric patient-derived tumor-cell spheroids

Image-based phenotypic drug profiling is receiving increasing attention in drug discovery and precision medicine. Compared to classical end-point measurements quantifying drug response, image-based profiling enables both the quantification of drug response and characterization of disease entities and drug-induced cell-death phenotypes. Here, we aim to quantify image-based drug responses in patient-derived 3D spheroid tumor cell cultures, tackling the challenges of a lack of single-cell-segmentation methods and limited patient-derived material. Therefore, we investigate deep transfer learning with patient-by-patient fine-tuning for cell-viability quantification. We fine-tune a convolutional neural network (pre-trained on ImageNet) with 210 control images specific to a single training cell line and 54 additional screen -specific assay control images. This method of image-based drug profiling is validated on 6 cell lines with known drug sensitivities, and further tested with primary patient-derived samples in a medium-throughput setting. Network outputs at different drug concentrations are used for drug-sensitivity scoring, and dense-layer activations are used in t-distributed stochastic neighbor embeddings of drugs to visualize groups of drugs with similar cell-death phenotypes. Image-based cell-line experiments show strong correlation to metabolic results ( R≈0.7 ) and confirm expected hits, indicating the predictive power of deep learning to identify drug-hit candidates for individual patients. In patient-derived samples, combining drug sensitivity scoring with phenotypic analysis may provide opportunities for complementary combination treatments. Deep transfer learning with patient-by-patient fine-tuning is a promising, segmentation-free image-analysis approach for precision medicine and drug discovery

Generation of an induced pluripotent stem cell line (CSC-44) from a Parkinson's disease patient carrying a compound heterozygous mutation (c.823C>T and EX6 del) in the PARK2 gene

Mutations in the PARK2 gene, which encodes PARKIN, are the most frequent cause of autosomal recessive Parkinson's disease (PD). We report the generation of an induced pluripotent stem cell (iPSC) line from a 78-year-old patient carrying a compound heterozygous mutation (c.823C>T and EX6del) in the PARK2 gene. Skin fibroblasts were reprogrammed using the non-integrating Sendai virus technology to deliver OCT3/4, SOX2, c-MYC and KLF4 factors. The generated cell line CSC-44 exhibits expression of common pluripotency markers, in vitro differentiation into the three germ layers and normal karyotype. This iPSC line can be used to explore the association between PARK2 mutations and PD.‘Cell Line and DNA Biobank from Patients affected by Genetic Diseases’ (Istituto G. Gaslini, Genova, Italy) and the ‘Parkinson Institute Biobank, members of the Telethon Network of Genetic Biobanks (http://biobanknetwork.telethon.it; project no. GTB12001) funded by Telethon Italy, for providing fibroblasts samples. This work was supported by the Strategic Research Environment MultiPark at Lund University and the strong research environment BAGADILICO (grant 349-2007-8626), the Swedish Parkinson Foundation (Parkinsonfonden; grant 889/16), the Swedish Research Council (grant 2015-03684 to LR) and Finnish Cultural Foundation (grant 00161167 to YP). We also acknowledge the Portuguese Foundation for Science and Technology for the doctoral fellowshipinfo:eu-repo/semantics/publishedVersio