Biology subjects

Schmidt, M.

Publications and source records attributed to Schmidt, M..

99 records · Page 6Linked to original sources

bioRxiv2019

Revealing virulence potential of clinical and environmental Aspergillus fumigatus isolates using Whole-genome sequencing

Aspergillus fumigatus is an opportunistic airborne pathogen and one of the most common causative agents of human fungal infections. A restricted number of virulence factors have been described but none of them lead to a differentiation of the virulence level among different strains. In this study, we analyzed the whole-genome sequence of a set of A. fumigatus isolates from clinical and environmental origin to compare their genomes and to determine their virulence profiles. For this purpose, a database containing 244 genes known to be associated with virulence was built. The genes were classified according to their biological function into factors involved in thermotolerance, resistance to immune responses, cell wall structure, toxins and secondary metabolites, allergens, nutrient uptake and signaling and regulation. No difference in virulence profiles was found between clinical isolates causing an infection and a colonizing clinical isolate, nor between isolates from clinical and environmental origin. We observed the presence of genetic repetitive elements located next to virulence related gene groups, which could potentially influence their regulation. In conclusion, our genomic analysis reveals that A. fumigatus, independently of their source of isolation, are potentially pathogenic at the genomic level, which may lead to fatal infections in vulnerable patients. However, other determinants such as genetic variations in virulence related genes and host-pathogen interactions most likely influence A. fumigatus pathogenicity and further studies should be performed.\n\nImportanceAspergillus spp. infections are among the most clinically relevant fungal infections also presenting treatment difficulties due to increasing antifungal resistance. The lack of key virulence factors and a broad genomic diversity complicates the development of targeted diagnosis and novel treatment strategies. A widely spread variability in virulence has been reported for experimental, clinical and environmental isolates. Here we provide supporting evidence that members of this species are fully capable of establishing an infection in immunosuppressed hosts according to their virulence content at the genomic level. Due to the possible clinical complications, studies are urgently required linking strains virulent phenotype with the genotype to better understand the virulence activation of this important fungal pathogen.

microbiology↗

bioRxiv2019

Optimization of the experimental parameters of the ligase cycling reaction

The ligase cycling reaction (LCR) is a scarless and efficient method to assemble plasmids from fragments of DNA. This assembly method is based on the hybridization of DNA fragments with complementary oligonucleotides, so-called bridging oligos (BOs), and an experimental procedure of thermal denaturation, annealing and ligation. In this study, we explore the effect of molecular crosstalk of BOs and various experimental parameters on the LCR by utilizing a fluorescence-based screening system. The results indicate an impact of the melting temperatures of BOs on the overall success of the LCR assembly. Secondary structure inhibitors, such as DMSO and betaine, are shown to negatively impact the number of correctly assembled plasmids. Adjustments of the annealing, ligation and BO-melting temperature further improved the LCR. The optimized LCR was confirmed by validation experiments. Based on these findings, a step-by-step protocol is offered within this study to ensure a routine for high efficient LCR assemblies.

bioengineering↗

bioRxiv2018

Human neurons from Christianson syndrome iPSCs reveal allele-specific responses to rescue strategies

Human genetic disorders provide a powerful lens to understanding the human brain. Induced pluripotent stem cells (iPSC) represent an important, new resource for mechanistic studies and therapeutic development. Christianson syndrome (CS), an X-linked neurological disorder with attenuation of brain growth postnatally (postnatal microcephaly), is caused by mutations in SLC9A6, the gene encoding endosomal Na+/H+ exchanger 6 (NHE6). We developed CS iPSC lines from patients with a mutational spectrum, as well as robust biologically-related and isogenic controls. We demonstrate that mutations in CS lead to loss of protein function by a variety of mechanisms. Regardless of mutation, all patient-derived neurons demonstrate reduced neurite growth and arborization, likely underlying diminished postnatal brain growth in patients. Additionally, phenotype rescue strategies show allele-specific responses: a gene replacement strategy shows efficacy in nonsense mutations but not in a missense mutation, whereas application of exogenous trophic factors (BDNF or IGF-1) rescues arborization phenotypes across all mutations. Our data emphasize the important principle of personalized medicine whereby success of some therapeutic strategies may be more linked to patient genotype than others.

neuroscience↗

bioRxiv2018

Cryo-EM structure of an amyloid fibril from systemic amyloidosis

Systemic AA amyloidosis is a worldwide occurring disease of humans and animals that arises from the misfolding of serum amyloid A protein. To provide insights into the molecular basis of this disease we used electron cryo-microscopy and determined the structure of an ex vivo amyloid fibril purified from AA amyloidotic mice at 3.0 [A] resolution. The fibril consists of C-terminally truncated serum amyloid A protein arranged into a compactly folded all-{beta} conformation. The structure identifies the protein N-terminus as central for the assembly of this fibril and provides a mechanism for its prion-like replication. Our data further explain how amino acid substitutions within the tightly packed fibril core can lead to amyloid resistance in vivo.

biophysics↗

bioRxiv2018

The genome and metabolome of the tobacco tree, Nicotiana glauca: a potential renewable feedstock for the bioeconomy

BackgroundGiven its tolerance to stress and its richness in particular secondary metabolites, the tobacco tree, Nicotiana glauca, has been considered a promising biorefinery feedstock that would not be competitive with food and fodder crops.\n\nResultsHere we present a 3.5 Gbp draft sequence and annotation of the genome of N. glauca spanning 731,465 scaffold sequences, with an N50 size of approximately 92 kbases. Furthermore, we supply a comprehensive transcriptome and metabolome analysis of leaf development comprising multiple techniques and platforms.\n\nThe genome sequence is predicted to cover nearly 80% of the estimated total genome size of N. glauca. With 73,799 genes predicted and a BUSCO score of 94.9%, we have assembled the majority of gene-rich regions successfully. RNA-Seq data revealed stage-and/or tissue-specific expression of genes, and we determined a general trend of a decrease of tricarboxylic acid cycle metabolites and an increase of terpenoids as well as some of their corresponding transcripts during leaf development.\n\nConclusionThe N. glauca draft genome and its detailed transcriptome, together with paired metabolite data, constitute a resource for future studies of valuable compound analysis in tobacco species and present the first steps towards a further resolution of phylogenetic, whole genome studies in tobacco.

plant biology↗

bioRxiv2018

Quality Control and Integration of Genotypes from Two Calling Pipelines for Whole Genome Sequence Data in the Alzheimer’s Disease Sequencing Project

The Alzheimers Disease Sequencing Project (ADSP) performed whole genome sequencing (WGS) of 584 subjects from 111 multiplex families at three sequencing centers. Genotype calling of single nucleotide variants (SNVs) and insertion-deletion variants (indels) was performed centrally using GATK-HaplotypeCaller and Atlas V2. The ADSP Quality Control (QC) Working Group applied QC protocols to project-level variant call format files (VCFs) from each pipeline, and developed and implemented a novel protocol, termed \"consensus calling,\" to combine genotype calls from both pipelines into a single high-quality set. QC was applied to autosomal bi-allelic SNVs and indels, and included pipeline-recommended QC filters, variant-level QC, and sample-level QC. Low-quality variants or genotypes were excluded, and sample outliers were noted. Quality was assessed by examining Mendelian inconsistencies (MIs) among 67 parent-offspring pairs, and MIs were used to establish additional genotype-specific filters for GATK calls. After QC, 578 subjects remained. Pipeline-specific QC excluded ~12.0% of GATK and 14.5% of Atlas SNVs. Between pipelines, ~91% of SNV genotypes across all QCed variants were concordant; 4.23% and 4.56% of genotypes were exclusive to Atlas or GATK, respectively; the remaining ~0.01% of discordant genotypes were excluded. For indels, variant-level QC excluded ~36.8% of GATK and 35.3% of Atlas indels. Between pipelines, ~55.6% of indel genotypes were concordant; while 10.3% and 28.3% were exclusive to Atlas or GATK, respectively; and ~0.29% of discordant genotypes were. The final WGS consensus dataset contains 27,896,774 SNVs and 3,133,926 indels and is publicly available.\n\nAbbreviationsAD, Alzheimers disease; QC, Quality Control; LSSAC, Large-Scale Sequencing and Analysis Center; Broad, Broad Institute Genomics Service; Baylor, Baylor College of Medicine Human Genome Sequencing Center; WashU, Washington University-St. Louis McDonnell Genome Institute; WGS, whole genome sequencing; WES, whole exome sequencing; indel, insertion-deletion variants; VCF, variant control format; MI, Mendelian inconsistency; MC, Mendelian consistency; GWAS, genome-wide association study; VR, referent allele read depth; DP, overall read depth; MS, mapping score; GQ, genotype quality score; Ti/Tv, Transition/Transversion; CS, concordance code

genetics↗

bioRxiv2018

Spatially clustered loci with multiple enhancers are frequent targets of HIV-1

HIV-1 recurrently targets active genes that are positioned in the outer shell of the nucleus and integrates in the proximity of the nuclear pore compartment. However, the genomic features of these genes and the relevance of their transcriptional activity for HIV-1 integration have so far remained unclear. Here we show that recurrently targeted genes are delineated with super-enhancer genomic elements and that they cluster in specific spatial compartments of the T cell nucleus. We further show that these gene clusters acquire their location at the nuclear periphery during the activation of T cells. The clustering of these genes along with their transcriptional activity are the major determinants of HIV-1 integration in T cells. Our results show for the first time the relevance of the spatial compartmentalization of the genome for HIV-1 integration, thus further strengthening the role of nuclear architecture in viral infection.

genomics↗

bioRxiv2018

Transcription-dependent regulation of replication dynamics modulates genome stability

Replication stress is a primary threat to genome stability and has been implicated in tumorigenesis1, 2. Common fragile sites (CFSs) are loci hypersensitive to replication stress3 and are hotspots for chromosomal rearrangements in cancers4. CFSs replicate late in S-phase3, are cell-type dependent4-6 and nest within very large genes4, 7-9. The mechanisms responsible for CFS instability are still discussed, notably the relative impact of transcription-replication conflicts7, 8, 10 versus their low density in replication initiation events5, 6. Here we address the relationships between transcription, replication, gene size and instability by manipulating the transcription of three endogenous large genes, two in chicken and one in human cells. Remarkably, moderate transcription destabilises large genes whereas high transcription levels alleviate their instability. Replication dynamics analyses showed that transcription quantitatively shapes the replication program of large genes, setting both their initiation profile and their replication timing as well as regulating internal fork velocity. Noticeably, high transcription levels advance the replication time of large genes from late to mid S-phase, which most likely gives cells more time to complete replication before mitotic entry. Transcription can therefore contribute to maintaining the integrity of some difficult-to-replicate loci, challenging the dominant view that it is exclusively a threat to genome stability.

molecular biology↗

bioRxiv2017

Loss of Wt1 in the murine spinal cord alters interneuron composition and locomotion

Rhythmic and patterned locomotion is driven by spinal cord neurons that form neuronal circuits, referred to as central pattern generators (CPGs). Recently, dI6 neurons were suggested to participate in the control of locomotion. The dI6 neurons can be subdivided into three populations, one of which expresses the Wilms tumor suppressor gene Wt1. However, the role that Wt1 exerts on these cells is not understood. Here, we aimed to identify behavioral changes and cellular alterations in the spinal cord associated with Wt1 deletion. Locomotion analyses of mice with neuron-specific Wt1 deletion revealed that these mice ran slower than controls with a decreased stride frequency and an increased stride length. These mice showed changes in their fore-hindlimb coordination, which were accompanied by a loss of contralateral projections in the spinal cord. Neonates with Wt1 deletion displayed an increase in uncoordinated hindlimb movements and their motor neuron output was arrhythmic with a decreased frequency. The population size of dI6, V0 and V2a neurons in the developing spinal cord of conditional Wt1 mutants was significantly altered. These results show that the development of particular dI6 neurons depends on Wt1 expression and loss of Wt1 is associated with alterations in locomotion.

neuroscience↗