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de Vries, J. J.

Publications and source records attributed to de Vries, J. J..

3 recordsLinked to original sources

Blood and cerebellar abundance of ATXN3 splice variants in spinocerebellar ataxia type 3/Machado-Joseph disease

BackgroundSpinocerebellar ataxia type 3 (SCA3)/Machado-Joseph disease (MJD) is an autosomal dominant polyglutamine disease. SCA3/MJD causative gene, ATXN3, is known to undergo alternative splicing (AS) and 54 transcripts are currently annotated. Differences in the toxicity of ataxin-3 protein isoforms, harbouring on its C-terminus two or three ubiquitin interacting motifs (UIMs), were previously uncovered, raising the hypothesis that specific ATXN3 splice variants play key roles in promoting the selective toxicity displayed in SCA3/MJD. MethodsUsing RNA-seq datasets we identified and determined the abundance of annotated ATXN3 transcripts in blood (n=60) and cerebellum (n=12) of SCA3/MJD subjects and controls. ResultsGlobally, the number and the abundance of individual ATXN3 transcripts were higher in the cerebellum than in the blood. While the most abundant transcript in the cerebellum was a protein with a coding sequence not defined of unknown function (ATXN3-208), the transcript with the highest abundance in blood was the reference transcript (ATXN3-251) which translates into an ataxin-3 isoform harboring three UIMs. Noteworthy, the abundance of ATXN3-251 and ATXN3-214, two out of the four transcripts that encode full-length ataxin-3 protein isoforms but differ in the C-terminus were strongly related with tissue expression specificity: ATXN3-251 (3UIM) was expressed in blood 50-fold more than in cerebellum, whereas ATXN3-214 (2UIM) was expressed in the cerebellum 20-fold more than in blood. ConclusionsThese findings provide new insights into the elucidation of ATXN3 AS in different tissues, contributing for a better understanding of SCA3/MJD pathogenesis and providing information for the development of future effective ATXN3 mRNA-lowering therapies.

genetics↗

A systematic review and comparison of automated tools for quantification of fibrous networks

Fibrous networks are essential structural components of biological and engineered materials. Accordingly, many approaches have been developed to quantify their structural properties, which define their material properties. However, a comprehensive overview and comparison of methods is lacking. Therefore, we systematically searched for automated tools quantifying network characteristics in confocal, stimulated emission depletion (STED) or scanning electron microscopy (SEM) images and compared these tools by applying them to fibrin, a prototypical fibrous network in thrombi. Structural properties of fibrin such as fiber diameter and alignment are clinically relevant, since they influence the risk of thrombosis. Based on a systematic comparison of the automated tools with each other, manual measurements, and simulated networks, we provide guidance to choose appropriate tools for fibrous network quantification depending on imaging modality and structural parameter. These tools are often able to reliably measure relative changes in network characteristics, but absolute numbers should be interpreted with care.

molecular biology↗

Improved diagnosis of viral encephalitis in adult and pediatric hematological patients using viral metagenomics

Metagenomic sequencing is a powerful technique that enables detection of the full spectrum of pathogens present in any specimen in a single test. Hence, metagenomics is increasingly being applied for detection of viruses in clinical cases with suspected infections of unknown etiology and a large number of relevant potential causes. This is typically the case in patients presenting with encephalitis, in particular when immunity is impaired by underlying disorders. In this study, viral metagenomics has been applied to a cohort of hematological patients with encephalitis of unknown origin. Since viral loads in cerebrospinal fluid of patients with encephalitis are generally low, the technical performance of a metagenomic sequencing protocol enriched by capture probes targeting all known vertebrate viral sequences was studied. Subsequently, the optimized viral metagenomics protocol was applied to a cohort of hematological patients with encephalitis of unknown origin. Viral enrichment by capture probes increased the viral sequence read count of metagenomics on cerebrospinal fluid samples 100 - 10.000 fold, compared to unenriched metagenomic sequencing. In five out of 41 (12%) hematological patients with encephalitis, a virus was detected by viral metagenomics which had not been detected by current routine diagnostics. BK polyomavirus, hepatitis E virus, human herpes virus-6 and Epstein Barr virus were identified by this unbiased metagenomic approach. This study demonstrated that hematological patients with encephalitis of unknown origin may benefit from early viral metagenomics testing as a single step approach. HighlightsO_LIA metagenomics protocol employing virus capture probes was validated and retrospectively applied to 41 hematological adult and pediatric patients presenting with encephalitis of unknown aetiology C_LIO_LIViral enrichment by capture probes increased sensitivity of viral metagenomics on cerebrospinal fluid samples 100 - 10.000 fold, compared to unenriched metagenomic sequencing C_LIO_LIIn 12% of hematological patients with encephalitis of unknown origin, a virus was detected by viral metagenomics, which was not found by routine diagnostics C_LIO_LIViral metagenomics represents a valuable addition to the diagnostics repertoire for hematological patients with suspected CNS infection C_LI

genomics↗