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Schmidt, N.

Publications and source records attributed to Schmidt, N..

At least 19 recordsLinked to original sources

The relevance of GGCC methylation for cyanobacterial gene expression regulation

Epigenetic DNA modifications are pivotal in eukaryotic gene expression, but their regulatory significance in bacteria is less understood. In the Synechocystis 6803 genome, the DNA-specific methyltransferase M.Ssp6803II modifies the first cytosine in the 38,512 GGCC motifs, forming N4-methylcytosine (GGm4CC). Previous analyses showed that deletion of the gene encoding M.Ssp6803II ({triangleup}sll0729), caused a bluish phenotype due to reduced expression of the hemJ gene. This effect was caused by the lacking GGCC methylation in the discriminator sequence of the hemJ promoter in {triangleup}sll0729. In the present study, we analyzed the impact of GGm4CC methylation on the overall gene expression. Bioinformatic analyses of multiple, independently obtained DNA microarray datasets revealed reproducible changes in the expression of more than 300 genes. We selected 26 genes that had the GGCC methylation motif in different locations of their promoter sequences and verified their differential expression through qPCR experiments. Classification of the promoters according to the relative position of GGCC motifs suggested context-specific effects on gene expression. These findings imply that GGm4CC methylation via DNA methyltransferase M.Ssp6803II has an important impact on proper gene expression and thus, cytosine N4-methylation is a relevant epigenetic marker in Synechocystis and likely many other bacteria.

microbiology↗

An explanatory benchmark of spatial domain detection reveals key drivers of method performance

The spatial organization of cells within tissues is critical for understanding biological function and disease, and spatial transcriptomics enables genome-wide mapping of this organization. Numerous computational methods aim to identify spatial domains, yet their performance is often evaluated on limited datasets, leading to conflicting conclusions. Here, we present an explanatory benchmark of 26 spatial domain detection methods across 63 tissue sections from six spatial transcriptomics technologies, supplemented by over 1,000 semi-synthetic datasets that systematically vary resolution, gene panel size, and tissue architecture. By jointly analyzing real and semi-synthetic data across this broad parameter space, our benchmark uncovers systematic performance differences and sources of variability that are obscured in standard evaluations. Although most spatial methods outperform non-spatial baselines, their performance depends strongly on data resolution and cellular heterogeneity. To enable systematic analysis beyond individual methods, we introduce a modular, plug-and-play benchmarking framework that facilitates method refinement and component exchange. Using this framework, an ablation study of neural network-based approaches shows that the choice of preprocessing and clustering often has a larger impact on performance than ar-chitectural novelty alone. Together, these results provide a principled foundation for informed method selection and offer guidance for the development of robust and scalable spatial domain detection tools as spatial transcriptomics technologies continue to advance.

bioinformatics↗

In vivo RUBISCO activity in Synechocystis is regulated by RuBP availability

Ribulose-1,5-bisphosphate carboxylase/oxygenase (RUBISCO) is the main CO2-fixing enzyme on earth and entry point of carbon into the Calvin-Benson-Bassham cycle. Fueled by photosynthesis, C-assimilation by RUBISCO must be tightly controlled. RUBISCO regulation upon transition from light to darkness is not fully understood in the cyanobacterium Synechocystis sp. PCC 6803 (Synechocystis). Synechocystis does not have a RUBISCO activase that regulates RUBISCO activity in vascular plants by removing intrinsic sugar phosphate inhibitors from its active site. Instead, the regulatory CP12 protein of Synechocystis inactivates glyceraldehyde 3-phosphate dehydrogenase (GAPDH2) and phosphoribulokinase (PRK) during darkness. This mechanism indicates metabolic regulation of RUBISCO. We investigated C-assimilation in vivo at the transition to darkness by dynamic 13CO2 labeling experiments. We monitored RUBISCO activity by 13C-incorporation into 1-C position of 3PGA. Other than the wild type, the{Delta} cp12 mutant continued to assimilate 13CO2 into 3PGA in darkness. RUBISCO abundances and specific activities were not altered in{Delta} cp12 and upon light to dark transition. CP12 was required to shut down the CBB cycle during the night. Complementation of{Delta} cp12 by native CP12 ({Delta}cp12::cp12) and CP12 with mutated conserved cysteines in its GAPDH2- and PRK-binding domains ({Delta}cp12::cp12{Delta}Cys) showed that both native binding domains are required to fully inactivate the CBB cycle in the night. RuBP levels were highly elevated in{Delta} cp12 upon transition to darkness. Complementation with mutated and native CP12 variants gradually reduced RuBP to wild type levels and revealed highly significant correlation between RuBP concentration and the time-shifted 13C-uptake into 3PGA. We propose that RUBISCO activity in Synechocystis at day-night transition is regulated through depletion and blocked regeneration of RuBP. 13C-positional analyses of aspartate suggest regeneration of RuBP in{Delta} cp12 via dysregulated gluconeogenesis and the oxidative pentose phosphate path. We demonstrate that RUBISCO activity of Synechocystis is present throughout diurnal growth and depends on the availability of its substrate.

plant biology↗

Inhibition of Cxcr4 chemokine receptor signaling improves habituation learning and increases cAMP-PKA signaling in a zebrafish model of Neurofibromatosis type 1

Neurofibromatosis type 1 (NF1) is a neurogenetic disorder caused by loss of function mutations in the gene neurofibromin 1 (NF1). NF1 encodes neurofibromin, a multifunctional tumor suppressing protein that regulates Ras, cAMP, and dopamine signaling. NF1 predisposes patients to a wide range of symptoms, including peripheral nerve tumors, brain tumors, and cognitive dysfunction. Despite considerable work using animal models to investigate the role of neurofibromin in behavior, translating research into treatment for NF1-associated cognitive dysfunction has not yet been successful. Here, we identify Cxcr4 chemokine receptor signaling as a regulator of habituation learning and modulator of cAMP-PKA signaling in nf1 mutant larval zebrafish. Combining a small-molecule drug screen and RNAseq analysis, we show that cxcr4b expression is increased in nf1 mutants and that pharmacological inhibition of Cxcr4 with AMD3100 (Plerixafor) improves habituation learning in nf1 mutants. We further demonstrate that Plerixafor treatment activates cAMP-PKA pathway signaling but has limited effects on Ras-Raf-MEK-ERK pathway signaling in the nf1 mutant brain. CXCR4 was previously identified as a potential therapeutic target for neurofibromin-deficient tumorigenesis. Our results provide evidence that Cxcr4 signaling also regulates neurofibromin-dependent cognitive function.

neuroscience↗

TRIM28 is a target for paramyxovirus V proteins

SUMO-modified Tripartite Motif Protein 28 (TRIM28; KAP1) plays a crucial role in repressing endogenous retroelement (ERE) transcription. We previously provided evidence that loss of SUMO-modified TRIM28 triggered by influenza A virus (IAV) infection promotes activation of host antiviral immunity via a mechanism involving derepression of EREs and production of immunostimulatory RNAs. While the IAV NS1 protein might limit consequences of such activation via its dsRNA-binding activity, we hypothesized that other human pathogenic viruses could have evolved more direct strategies to counteract this potential ERE-based defense system. Here, we reveal that V proteins from diverse paramyxoviruses, including Measles, Mumps, Parainfluenza, and Nipah/Hendra viruses, can all engage with TRIM28. Notably, the efficiency of engagement varies markedly between virus species, a phenotype that can be linked to specific residues within the C-terminal domain of V proteins. Further mapping showed that V proteins target both the TRIM28 Coiled-Coil domain and the TRIM28 PHD-Bromodomain, which contains the functionally-relevant TRIM28 SUMO-modification sites necessary for ERE repression. In this context, while paramyxovirus infection triggers canonical stress-associated phosphorylation of TRIM28, loss of SUMO-modified TRIM28 does not occur, and minimal induction of the TRIM28-dependent ERE RNA, HERVK14C, is observed. Furthermore, pre-infection with Parainfluenza virus type 2, which encodes a V protein that efficiently engages with TRIM28, limits subsequent IAV-triggered loss of SUMO-modified TRIM28 and upregulation of HERVK14C RNA. These findings dissect the interplay between paramyxoviruses and TRIM28, providing support for the concept of a TRIM28-regulated ERE-based antiviral defense system by uncovering a potential viral antagonistic measure. ImportanceHost recognition of viral nucleic acids is fundamental for stimulating antiviral immunity. To prevent aberrant immune activation, cells must precisely differentiate "non-self" from "self" nucleic acids. Endogenous retroelements (EREs), despite their self-origin, can produce immunostimulatory RNAs that blur this distinction, and may have been functionally co-opted to enhance antiviral immunity in response to some infections. Normally, ERE transcription is repressed by the host protein TRIM28, the function of which is dynamically modulated by SUMO-modification. Here, we demonstrate that paramyxoviruses engage TRIM28, maintaining it in its repressive, SUMO-modified form during infection. We propose that this virus-host interaction limits ERE activation and consequently suppresses ERE-driven immune signaling, revealing a previously unidentified mechanism of immune evasion by paramyxoviruses.

microbiology↗

Guard cell photorespiration has a major impact on photosynthesis, growth and stomatal behavior in Arabidopsis

Photorespiration is a mandatory metabolic repair shunt of carbon fixation by the Calvin-Benson (CB) cycle in oxygenic phototrophs. Its extent depends mainly on the CO2/O2 ratio in chloroplasts, which is regulated via stomatal movements. However, despite comprehensive understanding on the role of photorespiration in mesophyll cells (MC), its role in guard cells (GC) is yet unknown. To analyze this issue, the key enzyme of photorespiration, glycine decarboxylase (GDC), was manipulated through overexpression and antisense suppression of the GDC H-protein gene. A positive correlation of GDC-H expression with growth, photosynthesis and carbohydrate biosynthesis was observed in the transgenic lines, demonstrating active photorespiration is involved in stomatal regulation. This view is supported by gas exchange measurements showing that optimized GC photorespiration improves plant acclimation towards conditions requiring a high photorespiratory capacity, including high light. Microscopic analysis revealed that altered photorespiratory flux also affected starch accumulation patterns in GC, eventually serving as the underlying mechanistic for altered stomatal behavior. Collectively, our data suggest that photorespiration is a key component of the regulatory circuit that coordinates stomatal movements with external and internal CO2 availability. Thus, manipulation of photorespiration in GC has the potential to engineer crops maintaining growth and photosynthesis under future climates. One-sentence summaryGuard-cell-specific manipulation of photorespiratory glycine decarboxylase reveals photorespiration is active in guard cells and makes a major contribution to stomatal metabolism and movements.

plant biology↗

Diverging repeatomes in holoparasitic Hydnoraceae uncover a playground of genome evolution

O_LIThe nuclear genomes of parasitic plants have undergone unique evolutionary trajectories to adapt to the heterotrophic lifestyle. These adaptations often involve large genomic alterations, potentially driven by repetitive DNAs. Despite the recognized role of repetitive DNAs for shaping plant genomes, their contribution to parasitic plant genome evolution remains largely unexplored. This study presents the first analysis of repetitive DNAs in eleven genomes of Hydnoraceae, a holoparasitic plant family. C_LIO_LIThe repetitive DNAs were identified and annotated de novo. Patterns of abundance and presence-absence were aligned with the phylogenetic relationships, geographical distribution, and host shifts, suggesting repetitive DNAs key role in shaping Hydnoraceae genomes. C_LIO_LIThe two Hydnoraceae genera, Hydnora and Prosopanche, exhibit distinct profiles. Eight Hydnora genomes are largely populated by long terminal repeat retrotransposons, while three Prosopanche genomes vary greatly in repetitive DNA composition, including P. bonacinae with massive amplifications of a single DNA transposon and P. panguanensis with over 15% 5S rDNA, compared to <0.1% in some Hydnoraceae. Both extremely low and very high abundance of 5S rDNA challenges our current understanding on chromosomal stabilization and rDNA transcription. C_LIO_LIThese genome dynamics, while inviting for further investigations, suggest rapidly evolving repeat profiles, potentially accelerated by the adaptation to the parasitic lifestyle. C_LI

evolutionary biology↗

Epigenetic control of tetrapyrrole biosynthesis by m4C DNA methylation in a cyanobacterium

Epigenetic DNA modifications are pivotal in eukaryotic gene expression, but their regulatory significance in bacteria is less understood. In Synechocystis 6803, the DNA methyltransferase M.Ssp6803II modifies the first cytosine in the GGCC motif, forming N4-methylcytosine (GGm4CC). Deleting the sll0729 gene ({Delta}sll0729) caused a bluish phenotype due to reduced chlorophyll levels, which was reversed by suppressor mutations. Re-sequencing of seven suppressor clones revealed a common GGCC to GGTC mutation in the slr1790 promoters discriminator sequence, encoding protoporphyrinogen IX oxidase, HemJ, crucial for tetrapyrrole biosynthesis. Transcriptomic and qPCR analyses indicated aberrant slr1790 expression in {Delta}sll0729 mutants. This aberration led to the accumulation of coproporphyrin III and protoporphyrin IX, indicative of impaired HemJ activity. To confirm the importance of DNA methylation in hemJ expression, native and mutated hemJ promoter variants were introduced into the wild type, followed by sll0729 deletion. The sll0729 deletion segregated in strains with the GGTC motif in the hemJ promoter, resulting in wild-type-like pigmentation, whereas freshly prepared {Delta}sll0729 mutants with the native hemJ promoter exhibited the bluish phenotype. These findings demonstrate that hemJ is tightly regulated in Synechocystis and that N4-methylcytosine is essential for proper hemJ expression.

microbiology↗

Repeatome landscapes and cytogenetics of hortensias provide a framework to trace Hydrangea evolution and domestication

Background and AimsOrnamental hortensias are bred from a reservoir of over 200 species in the genus Hydrangea s.l. and are valued in gardens, households and landscapes across the globe. The phenotypic diversity of hortensia cultivars, hybrids and wild relatives is mirrored by their genomic variation, with differences in genome size, base chromosome numbers and ploidy level. We aim to understand the genomic and chromosomal basis of hortensia genome variation. Therefore, we analyze six hortensias with different origins and chromosomal setups for repeatome divergence, the genome fraction with the highest sequence turnover. This holds information from the hortensias evolutionary paths and can inform breeding initiatives. MethodsWe compiled a hortensia genotype panel representing members of the sections Macrophyllae, Hydrangea, Asperae, and Heteromallae and reconstructed a plastome-based phylogenetic hypothesis as evolutionary basis for all our analyses. We comprehensively characterized the repeatomes by whole genome sequencing and comparative repeat clustering. Major tandem repeats were localized by multi-color FISH. Key ResultsThe Hydrangea species show differing repeat profiles reflecting their separation into the two major Hydrangea clades: Diploid Hydrangea species from Japan show a conserved repeat profile, distinguishing them from Japanese polyploids as well as Chinese and American hortensias. These results are in line with plastome-based phylogenies. The presence of specific repeats indicates that H. paniculata was not polyploidized directly from the common ancestor of Japanese Hydrangea species, but evolved from a distinct progenitor. Major satellite DNAs were detected over all H. macrophylla chromosomes. ConclusionsRepeat composition among the Hydrangea species varies in congruence with their origins and phylogeny. Identified species-specific satDNAs may be used as cytogenetic markers to identify Hydrangea species and cultivars, and to infer parental species of old Hydrangea varieties. This repeatome and cytogenetics information helps to expand the genetic toolbox for tracing hortensia evolution and informing future hortensia breeding.

genomics↗

A systems-based approach to uterine fibroids identifies differential splicing associated with abnormal uterine bleeding

Uterine fibroids (UFs), benign tumours prevalent in up to 80% of women of reproductive age, are associated with significant morbidity, including abnormal uterine bleeding, pain and infertility. Despite identification of key genomic alterations in MED12 and HMGA2, the pathogenic mechanisms underlying UFs and heavy menstrual bleeding (HMB) remain poorly understood. To correlate systematically genetic, transcriptional and proteomic phenotypes, our study involved an integrative analysis of fibroid, myometrium and endometrium tissues from 137 patients, utilising genome-wide SNP arrays, targeted sequencing, RNA sequencing and proteomics. Our findings reveal 39.7% of UFs possess MED12 mutations, alongside novel variants in genes such as COL4A5 and COL4A6. Multi-omics factor analysis of integrated protein and mRNA highlighted differential regulation related to extracellular matrix remodelling, proteolysis and homeostasis in fibroid versus myometrium tissues, and distinct gene sets associated with RNA splicing in the endometrium of patients with HMB, particularly in MED12-mutated fibroids. Our study proposes a model, which is supported by in vivo evidence, where altered signalling of MED12-mutated fibroids influences RNA transcript isoform expression in endometrium, potentially leading to abnormal uterine bleeding. This integrative approach unravels complex molecular pathways in UF pathogenesis and HMB, offering novel insights for targeted therapeutic development.

systems biology↗

Building Blocks of Understanding: Constructing a Reverse Genetics Platform for studying determinants of SARS-CoV-2 replication.

To better understand viral pathogenesis, host-virus interactions, and potential therapeutic interventions, the development of robust reverse genetics systems for SARS-CoV-2 is crucial. Here, we present a reverse genetics platform that enables the efficient manipulation, assembly, and rescue of recombinant SARS-CoV-2. The versatility of our reverse genetics system was demonstrated by generating recombinant SARS-CoV-2 viruses. We used this system to generate N501Y and Y453F spike protein mutants. Characterization studies revealed distinct phenotypic effects, impact on viral fitness, cell binding, and replication kinetics. We also investigated a recently discovered priming site for NSP9, which is postulated to produce a short RNA antisense leader sequence. By introducing the U76G mutation into the 5UTR, we show that this priming site is necessary for the correct production of genomic and subgenomic RNAs, and also for efficient viral replication. In conclusion, our developed reverse genetics system provides a robust and adaptable platform for the efficient generation of recombinant SARS-CoV-2 viruses for their comprehensive characterization. Significance statementIn this study, we present a versatile reverse genetics platform facilitating the efficient manipulation, assembly, and rescue of recombinant SARS-CoV-2. Demonstrating its adaptability, we successfully engineered N501Y and Y453F spike protein mutants, each exhibiting distinct phenotypic effects on viral fitness, cell binding, and replication kinetics. We also investigated a novel negative sense priming site for NSP9, demonstrating a role in RNA production and viral replication. This straightforward reverse genetic system is therefore a powerful tool to generate recombinant viruses for advancing our understanding of SARS-CoV-2 biology.

microbiology↗

High-fidelity (repeat) consensus sequences from short reads using combined read clustering and assembly

BackgroundDespite the many cheap and fast ways to generate genomic data, good and exact genome assembly is still a problem, with especially the repeats being vastly underrepresented and often misassembled. As short reads in low coverage are already sufficient to represent the repeat landscape of any given genome, many read cluster algorithms were brought forward that provide repeat identification and classification. But how can trustworthy, reliable and representative full-length repeat consensuses be derived from unassembled genomes? ResultsHere, we combine methods from repeat identification and genome assembly to derive these robust consensuses. We test several use cases, such as (1) consensus building from clustered short reads of non-model genomes, (2) from genome-wide amplification setups, and (3) specific repeat-centred questions, such as the linked vs. unlinked arrangement of ribosomal genes. In all our use-cases, the derived consensuses are robust and representative. To evaluate overall performance, we compare our high-fidelity repeat consensuses to RepeatExplorer2-derived contigs and check, if they represent real transposable elements as found in long reads. Our results demonstrate that it is possible to generate useful, reliable and trustworthy consensuses from short reads by a combination from read cluster and genome assembly methods in an automatable way. ConclusionWe anticipate that our workflow opens the way towards more efficient and less manual repeat characterization and annotation, benefitting all genome studies, but especially those of non-model organisms.

genomics↗

SHIFTR enables the unbiased and multiplexed identification of proteins bound to specific RNA regions in live cells

RNA-protein interactions determine the cellular fate of RNA and are central to regulating gene expression outcomes in health and disease. To date, no method exists that is able to identify proteins that interact with specific regions within endogenous RNAs in live cells. Here, we develop SHIFTR (Selective RNase H-mediated interactome framing for target RNA regions), an efficient and scalable approach to identify proteins bound to selected regions within endogenous RNAs using mass spectrometry. Compared to state-of-the-art techniques, SHIFTR is superior in accuracy, captures close to zero background interactions and requires orders of magnitude lower input material. We establish SHIFTR workflows for targeting RNA classes of different length and abundance, including short and long non-coding RNAs, as well as mRNAs and demonstrate that SHIFTR is compatible with sequentially mapping interactomes for multiple target RNAs in a single experiment. Using SHIFTR, we comprehensively identify interactions of cis-regulatory elements located at the 5' and 3'- terminal regions of the authentic SARS-CoV-2 RNA genome in infected cells and accurately recover known and novel interactions linked to the function of these viral RNA elements. SHIFTR enables the systematic mapping of region-resolved RNA interactomes for any RNA in any cell type and has the potential to revolutionize our understanding of transcriptomes and their regulation.

molecular biology↗

Repeat turnover meets stable chromosomes: repetitive DNA sequences mark speciation and gene pool boundaries in sugar beet and wild beets

BackgroundSugar beet (Beta vulgaris subsp. vulgaris) and its crop wild relatives share a base chromosome number of nine and similar chromosome morphologies. Yet, interspecific breeding is impeded by chromosome and sequence divergence that is still not fully understood. Since repetitive DNA sequences represent the fastest evolving parts of the genome, they likely impact genomic variability and contribute to the separation of beet gene pools. Hence, we investigated if innovations and losses in the repeatome can be linked to chromosomal differentiation and speciation. ResultsWe traced genome- and chromosome-wide evolution across sugar beet and twelve wild beets comprising all sections of the beet genera Beta and Patellifolia. For this, we combined data from short and long read sequencing, flow cytometry, and cytogenetics to build a comprehensive data framework for our beet panel that spans the complete scale from DNA sequence to chromosome up to the genome. Genome sizes and repeat profiles reflect the separation of the beet species into three gene pools. These gene pools harbor repeats with contrasting evolutionary patterns: We identified section- and species-specific repeat emergences and losses, e.g. of the retrotransposons causal for genome expansions in the section Corollinae/Nanae. Since most genomic variability was found in the satellite DNAs, we focused on tracing the 19 beetSat families across the three beet sections/genera. These taxa harbor evidence for contrasting strategies in repeat evolution, leading to contrasting satellite DNA profiles and fundamentally different centromere architectures, ranging from chromosomal uniformity in Beta and Patellifolia species to the formation of patchwork chromosomes in Corollinae/Nanae species. ConclusionsWe show that repetitive DNA sequences are causal for genome size expansion and contraction across the beet genera, providing insights into the genomic underpinnings of beet speciation. Satellite DNAs in particular vary considerably among beet taxa, leading to the evolution of distinct chromosomal setups. These differences likely contribute to the barriers in beet breeding between the three gene pools. Thus, with their isokaryotypic chromosome sets, beet genomes present an ideal system for studying the link between repeats, genome variability, and chromosomal differentiation/evolution and provide a theoretical basis for understanding barriers in crop breeding.

genomics↗

Pangenome of cultivated beet and crop wild relatives reveals parental relationships of a tetraploid wild beet

Most crop plants, including sugar beet (Beta vulgaris subsp. vulgaris), suffer from domestication bottlenecks and low genetic diversity caused by extensive selection for few traits. However, crop wild relatives (CWRs) harbour useful traits relevant for crop improvement, including enhanced adaptation to biotic and abiotic stresses. Especially polyploids are interesting from an evolutionary perspective as genes undergo reorganisation after the polyploidisation event. Through neo-and subfunctionalisation, novel functions emerge, which enable plants to cope with changing environments and extreme/harsh conditions. Particularly in the face of climate change, specific stress and pathogen resistances or tolerances gain importance. To introduce such traits into breeding material, CWRs have already been identified as an important source for sustainable breeding. The identification of genes underlying traits of interest is crucial for crop improvement. For beets, the section Corollinae contains the tetraploid species Beta corolliflora (2n=4x=36) that harbours salt and frost tolerances as well as a wealth of pathogen resistances. The number of beneficial traits of B. corolliflora is increased compared to those of the known diploids in this section (all 2n=2x=18). Nevertheless, neither the parental relationships of B. corolliflora have been resolved, nor are genomic resources available to steer sustainable, genomics-informed breeding. To benefit from the resources offered by polyploid beet wild relatives, we generated a comprehensive pangenome dataset including B. corolliflora, Beta lomatogona, and Beta macrorhiza, as well as a more distant wild beet Patellifolia procumbens (2n=2x=18). Joined analyses with publicly available genome sequences of two additional wild beets allowed the identification of genomic regions absent from cultivated beet, providing a sequence database harbouring traits relevant for future breeding endeavours. In addition, we present strong evidence for the parental relationship of the B. corolliflora wild beet as an autotetraploid emerging from B. macrorhiza.

genomics↗

Adenovirus type 34 and HVR1-deleted Adenovirus type 5 do not bind to PF4: clearing the path towards vectors without thrombosis risk

The adenoviral vector based AstraZeneca and Janssen COVID vaccines have been associated with rare cases of thrombosis, a condition which depends on adenovirus binding to the blood protein Platelet Factor 4 (PF4). In order to identify adenoviruses with low or absent affinity for PF4, we screened dozens of types from various adenovirus species, and Adenovirus type 5 (Ad5) derived vectors carrying genetic or chemical modifications of different hexon hyper-variable regions (HVR). For this purpose, we established an armamentarium of techniques including ELISA-qPCR and Aggregate Pull-Down (APD), which enabled fast and sensitive assessments of virus-protein interactions. Unlike most tested serotypes, Ad34 did not bind to PF4. Likewise, the deletion or shielding of the HVR1 loop of Ad5 seemingly ablated its PF4 binding. Therefore, we showed that PF4 binds to adenovirus hexon through interactions dependent on HVR1, and identified vectors that may avoid or decrease the risk of thrombosis and represent safer candidates for vaccine or gene therapy vector development.

microbiology↗

A condensate forming tether for lariat debranching enzyme is defective in non-photosensitive trichiothiodystrophy

The pre-mRNA life cycle requires intron processing; yet, how intron processing defects influence splicing and gene expression is unclear. Here, we find TTDN1, which is frequently mutated in non-photosensitive trichothiodystrophy (NP-TTD), functionally links intron lariat processing to the spliceosome. The conserved TTDN1 C-terminal region directly binds lariat debranching enzyme DBR1, while its N-terminal intrinsically disordered region (IDR) binds the intron binding complex (IBC). The IDR forms condensates in vitro and is needed for IBC interaction. TTDN1 loss causes significant intron lariat accumulation, as well as splicing and gene expression defects, mirroring phenotypes observed in NP-TTD patient cells. Ttdn1{Delta}/{Delta} mice recapitulate intron processing defects and neurodevelopmental phenotypes seen in NP-TTD. A DBR1-IDR fusion recruits DBR1 to the IBC and circumvents the requirement for TTDN1, indicating this tethering role as its major molecular function. Collectively, our findings unveil key functional connections between lariat processing, splicing outcomes, and NP-TTD molecular pathology.

biochemistry↗

In silico, biochemical, and in vitro analysis of silvestrol binding to the DEAD box RNA helicase eIF4A reveals broad anti-pathogen potential of rocaglates across the eukaryotic tree of life

Selective inhibition of eukaryotic initiation factor 4A (eIF4A), an RNA helicase, has been proposed as a strategy to fight pathogens. Plant-derived rocaglates exhibit some of the highest specificities among eIF4A inhibitors. Sensitivity to rocaglates is determined by key amino acid (aa) residues mediating reversible clamping of the eIF4A:RNA complex. To date, no comprehensive assessment of eIF4A sensitivity to rocaglates across the eukaryotic tree of life has been performed to determine their anti-pathogenic potential. We performed an in silico analysis of the substitution patterns of six aa residues in eIF4A1 critical to rocaglate binding (human positions 158, 159, 163, 192, 195, 199), uncovering 35 pattern variants among 365 eIF4As sequenced to date. In silico molecular docking analysis of the eIF4A:RNA:rocaglate complexes of the 35 variants, modeled in a human eIF4A environment, and in vitro thermal shift assays with recombinantly expressed human eIF4A mutants, representing select natural and artificial variants, revealed that sensitivity to a natural or one of two synthetic rocaglates--silvestrol, CR-1-31-B, or zotatifin--was associated with lower inferred binding energies and higher melting temperature shifts. Helicase activities were comparable across variants and independent of sensitivity to rocaglates. In vitro testing with silvestrol validated predicted resistance based on position 163 substitutions in Caenorhabditis elegans and Leishmania amazonensis and predicted sensitivity in Aedes sp., Schistosoma mansoni, Trypanosoma brucei, Plasmodium falciparum, and Toxoplasma gondii. Our analysis shows resistance to rocaglates emerging in disparate eukaryotic clades pointing to resistance being a selective neutral trait except in rocaglate-producing Aglaia plants and their fungal parasite Ophiocordyceps. The analysis further revealed the possibility of targeting important insect, plant, animal, and human pathogens including Galleria mellonella, Ustilago maydis, Babesia ovata, and Cryptosporidium sp., with rocaglates. Finally, combined docking and thermal shift analyses might help design novel synthetic rocaglate derivatives or alternative eIF4A inhibitors to fight pathogens. Author SummaryIn the ongoing search for novel ways to fight non-viral and non-bacterial pathogens, targeting translation--the universal process of protein synthesis--to inhibit growth and cell proliferation has emerged as an attractive strategy. Here, we focused on the potential of rocaglates, a group of plant-derived compounds, to inhibit an early step in translation mediated by a RNA helicase called eIF4A. We performed a comprehensive analysis of eIF4A sequence variants to determine their potential sensitivities to rocaglates, especially in pathogens of prokaryotic, fungal, or animal origin. We complemented this in silico analysis with enzyme-based in vitro and whole pathogen in vivo experiments to confirm the sensitivity or resistance to rocaglates of specific variants of eIF4A. Our analysis provides the first comprehensive picture of rocaglate sensitivity among pathogens and establishes targeting important insect, plant, animal, and human pathogens such as wax moth larvae, a major parasite of honey bees, corn smut, a widely distributed fungal disease, Babesia, a livestock parasite that causes anemia and babesiois, and Cryptosporidium, the causative organism of cryptosporidiosis in humans, with rocaglates as a viable anti-pathogen strategy.

molecular biology↗