Biology subjects

Patel, T. R.

Publications and source records attributed to Patel, T. R..

17 recordsLinked to original sources

bioRxiv2025

Gliomas phenocopy an inborn error of metabolism to drive neuronal activity and tumor growth

The metabolic hallmarks of high-grade glioma (HGG) are not fully understood. Human brain tissue metabolomics revealed that the creatine synthesis pathway intermediate guanidinoacetate (GAA) accumulated [~]100-fold in HGGs relative to controls, which was caused by imbalanced activities of enzymes in this pathway. Glioma cells secreted GAA rather than using it to produce creatine, implicating an unexpected function. GAA accumulates in GAMT deficiency, an inborn error of metabolism, and elevates neuronal excitability. Neuronal excitability is also increased in glioma and drives tumor growth through neuron-glioma interactions. We hypothesized that glioma-generated GAA excites surrounding neurons. Indeed, GAA induced neuronal hyperactivity by activating GABAA receptors and causing depolarizing GABA currents in glioma-associated neurons with dysregulated chloride homeostasis. Depleting tumoral GAA decreased electrochemical activity, neuron-glioma interactions, and tumor aggressiveness. Our findings unveil a new mechanism linking cancer metabolism with cancer neuroscience and leverage human genetics to nominate GAA synthesis as a target in gliomas.

cancer biology↗

bioRxiv2025

CT Radiomic Signatures of Neutrophil Extracellular Traps in Ischemic Stroke Thrombi

BackgroundRadiomic and transcriptomic analyses have independently identified features linked to mechanical thrombectomy (MT) outcomes in acute ischemic stroke (AIS). In this study, we integrate paired radiomic and transcriptomic profiling of AIS clots to identify Neutrophil Extracellular Trap (NET) enrichment as a predictor of first-pass MT success. We further assess the potential to non-invasively detect NET enrichment using pre-thrombectomy CT imaging. MethodsWe performed radiomic and transcriptomic analysis of 32 stroke clots retrieved by MT (n=16 each of modified first pass [mFP] success and failure). Clots were segmented from pre-MT CTA and nCCT scans and radiomic features (RFs) were extracted using pyRadiomics. Normality, equal variance, and two-sample testing were completed to identify which RFs were significantly different between mFP outcomes. Differentially expressed genes (DEGs) were identified between transcriptomes of mFP success and failure using the criteria of logFC[≥]1.5 and q<0.05. A NET enrichment score was computed from expression data and correlated with RFs to identify a RF signature predictive of NET enrichment. Immunofluorescence (IF) staining was completed on retrieved clot tissue to provide ground truth labeling of NETs. Results44 DEGs were identified between mFP outcomes. From ontology analysis, NET Formation, Neutrophil Degranulation, and the NET Signaling Pathway were among the most enriched terms in the mFP failure group, with related genes downregulated in the mFP success group. 40 RFs were significantly different between mFP outcomes. Of these, 6 were found to be correlated with and predictive of clot NET enrichment. IF quantification validated that transcriptomic NET signatures accurately reflected NET presence within clot tissues. ConclusionOur findings indicate that NET enrichment within thrombi is associated with reduced mFP success, and that radiomic features extracted from pre-thrombectomy CT imaging can serve as non-invasive biomarkers of clot NET content. This radiomic signature may aid in pre-procedural decision-making, including thrombolytic therapy planning and thrombectomy device selection.

pathology↗

bioRxiv2025

Escape from SARS-CoV-2 Nsp1-mediated host shutoff by TIAR transcript reveals general features of Nsp1 resistance

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) immune escape strategies include general inhibition of host gene expression referred to as host shutoff. Viral non-structural protein 1 (Nsp1) is the main host shutoff factor that blocks protein translation and induces messenger RNA (mRNA) cleavage and degradation. Viral mRNAs are resistant to the translation shutoff and cleavage induced by Nsp1, and the 5 leader sequence present in all viral mRNAs has been shown to confer resistance. However, the exact molecular mechanism for escape from Nsp1 host shutoff has not been demonstrated. In our previous work, we analyzed the effects of Nsp1 on the expression and function of cellular proteins important for stress granule formation. We discovered that the host transcript for the TIA1 cytotoxic granule-associated RNA binding protein like 1 (TIAL1, commonly referred to as TIAR) is resistant to SARS-CoV-2 Nsp1 host shutoff. In this work, using reporter shutoff assays, we examined sequence and structural features of the TIAR 5 untranslated region (UTR) and discovered that the first 23 nucleotides of the TIAR transcript are both necessary and sufficient to confer resistance to the Nsp1. Furthermore, our work revealed that the lack of guanosines within a window of 10 to 18 nucleotides downstream from the 5 end is a defining feature of Nsp1-resistant transcripts shared between the SARS-CoV-2 leader sequence and the TIAR 5 UTR. Our findings are consistent with the model in which sequence features of 5 UTRs, rather than their secondary structure, confer resistance to Nsp1 host shutoff to both viral and cellular mRNAs.

molecular biology↗

bioRxiv2025

A Guanine-quadruplex located on the negative strand of the hepatitis C virus facilitates efficient genomic RNA synthesis

Guanine-rich nucleic acids can form a unique secondary structure called Guanine-quadruplexes (G4s). These G4s are conserved across all domains of life and in viruses, where they can play important regulatory roles in the viral lifecycle. In flaviviruses, the (-) strand 3 untranslated region (UTR) is essential for initiating genomic RNA synthesis. Within the (-) strand 3 UTR of hepatitis C virus (HCV), a highly conserved G4 is located within stem-loop IIy (SLIIy), spanning nucleotides 110-131--a region that is essential for efficient replication. Using bioinformatics, we demonstrate that nucleotides 110-131 are highly conserved across HCV genotypes 1-7, and this region within SLIIy can likely adopt a more energetically favorable G4 conformation rather than the predicted hairpin. From biophysical and cell biology experiments, we show that stabilizing the predicted hairpin structure in SLIIy disrupts RNA synthesis, while successive guanine-to-adenine mutations within the G4 sequence impair G4 formation and hinder replication. Combining our findings with prior studies, we propose that the SLIIy G4 plays a crucial role in recruiting NS3 helicase, which is necessary for unwinding RNA structures and facilitating access for NS5B polymerase. The G4 may serve as a regulatory switch that modulates helicase binding and replication efficiency. We propose that in the absence of a stable G4, NS3 recruitment or unwinding is impaired, leading to inefficient RNA unwinding and reduced polymerase activity, ultimately hindering viral replication. These results reveal a previously unrecognized role for G4 structures in the HCV replication cycle, highlighting their importance in regulating (+) strand RNA synthesis. ImportanceHepatitis C virus is a positive-sense single-stranded RNA virus that relies on an intermediate negative strand to generate new genomic RNA. While the last 157 nucleotides of the negative-strand 3 untranslated region are known to be essential for replication, the underlying regulatory mechanisms have remained poorly understood. Our study demonstrates that a highly conserved guanine-rich sequence (107-131 nt) located on the negative strand SLIIy forms a guanine-quadruplex secondary structure that plays a pivotal role in orchestrating viral RNA synthesis. This G4 not only promotes efficient replication but likely acts as a molecular target to recruit the NS3 helicase, thereby allowing access for the NS5B polymerase. Disruption of the G4 structure and stabilization of the stem-loop severely impairs viral replication. These findings reveal an unrecognized layer of post-transcriptional regulation in the HCV lifecycle and establish G4 RNA structures as a critical element in HCV genome replication.

biophysics↗

bioRxiv2025

Global distribution of microbial carrageenan foraging pathways reveals widespread latent traits within the genetic dark matter of ruminant intestinal microbiomes

Seaweeds represent a promising source of sustainable, alternative feeds for livestock. Despite their increasing popularity in agriculture, the dietary fate of seaweed polysaccharides, such as carrageenan, is unknown. Here, we applied functional microbiome analyses of ruminant gastrointestinal tract microbiomes to discover catabolic enzymes specific for carrageenan digestion from the red seaweed Mazzaella japonica. M. japonica preferentially increased Bacteroides abundance within the distal gut over the rumen, and bacterial isolates had capacity to use carrageenans as a sole carbon source. Carrageenan-active polysaccharide utilization loci (CarPULs) were identified and recombinant enzymes were characterized to provide insights into pathway specialization of divergent CarPULs. Selective enrichment and metagenomic mining revealed that carrageenan catabolism is widespread among geographically and taxonomically distinct ruminants, suggesting it is a globally distributed latent trait within the order Ruminantia and carried within microbiome as part of the microbial "dark matter". These pathways are structurally distinct from those found in marine bacteria, highlighting a complex and ancient evolutionary history of CarPULs in ruminant microbiomes.

microbiology↗

bioRxiv2024

Microbial alginate foraging is conserved in geographically and taxonomically distinct ruminant microbiomes

Seaweed plays a crucial role in carbon cycling and is expected to be a valuable resource for sustainable biomass, with applications in biofuel production, human nutrition, and animal feed. Although seaweed has historically been used as a feed source for livestock grazing near coastlines, the process by which it is digested in the rumen remains unknown. Here, we show how the brown algae Saccharina latissima is catabolized in the rumen ecosystem of two different species using in vivo and in vitro experimental systems. We determined that the ruminal decomposition of alginate, a prominent component of the brown algae cell wall, requires microbial catabolic pathways complete with alginate lyases and transport proteins. Evidence of digestion was obtained through a combination of animal models, bacterial imaging, multilayered meta-omics, and enzyme biochemistry. The evolution of and implications for acquisition of alginate utilization loci within geographically and taxonomically distinct ruminants are considered. Graphical abstractSaccharina latissima is a brown alga commonly found in the North Atlantic, Arctic and Pacific oceans. S. latissima was collected from the west coast and Canada and Norway for microbiome studies. Alginate constitutes a substantial portion of the cell wall of S. latissima (SL), and its digestion requires a specific set of enzymes, alginate lyases. We investigated if and how S. latissima is metabolized in geographically distinct rumen ecosystems through in vivo lamb feeding experiments (2.5 and 5% inclusion, DM basis) and in vitro cattle-based rumen simulation technique, RUSITEC, experiments (up to 50% inclusion). Evidence supporting ruminal degradation of alginate was explored using a combination of multilayered meta-omics, physiology (fluorescently labelled S. latissima hot water extracts (FLA-SLAT)) and biochemical characterization of PL6 alginate lyases. O_FIG O_LINKSMALLFIG WIDTH=161 HEIGHT=200 SRC="FIGDIR/small/628917v1_ufig1.gif" ALT="Figure 1"> View larger version (43K): org.highwire.dtl.DTLVardef@eebe40org.highwire.dtl.DTLVardef@c6fb8org.highwire.dtl.DTLVardef@7a9b1borg.highwire.dtl.DTLVardef@15d30d7_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗

bioRxiv2024

Cleavage region organizes the structural architecture of the B2 SINE ribozyme

The SINE-encoded B2 retrotransposon is an RNA Polymerase III transcript that gets upregulated during various cellular stress responses. The B2 noncoding RNA can directly inhibit RNA Polymerase II, leading to a significant downregulation of transcripts during stress. Our recent findings have shown that B2 is a self-cleaving epigenetic ribozyme and that cleavage can be induced by interactions with epigenetic factors, co-regulating its function across distinct chromatin-binding target loci. Here, by integrating RNA chemical probing, small angle X-ray scattering, and 3D motif modeling, we determine structural ensemble-to-function relations for the B2 SINE ribozyme RNA. Perturbations of the RNA suggest that the B2 SINE ribozyme has a well-defined secondary structure and dynamic tertiary structure that both critically depend on the presence of the active site of cleavage. In an RNA engineering approach, we examine the effect of point mutations, deletions of the main cleavage site and deletions of the cleavage domain on the structural ensemble of the RNA. By combining this with functional data, we obtain relations of structural ensembles to various functional states. This perturbative approach serves as a template to unravel the relation of structural ensembles to functional states for other ncRNA and mRNA systems.

biophysics↗

bioRxiv2023

Zika virus remodels and hijacks IGF2BP2 ribonucleoprotein complex to promote viral replication organelle biogenesis

Zika virus (ZIKV) infection causes significant human disease that, with no approved treatment or vaccine, constitutes a major public health concern. Its life cycle entirely relies on the cytoplasmic fate of the viral RNA genome (vRNA) through a fine-tuned equilibrium between vRNA translation, replication and packaging into new virions, all within virus-induced replication organelles (vRO). In this study, with an RNAi mini-screening and subsequent functional characterization, we have identified insulin-like growth factor 2 mRNA-binding protein 2 (IGF2BP2) as a new host dependency factor that regulates vRNA synthesis. In infected cells, IGF2BP2 associates with viral NS5 polymerase and redistributes to the perinuclear viral replication compartment. Combined fluorescence in situ hybridization-based confocal imaging, in vitro binding assays, and immunoprecipitation coupled to RT-qPCR, showed that IGF2BP2 directly interacts with ZIKV vRNA 3-nontranslated region. Using ZIKV sub-genomic replicons and a replication-independent vRO induction system, we demonstrated that IGF2BP2 knockdown impairs de novo viral organelle biogenesis and, consistently, vRNA synthesis. Finally, the analysis of immunopurified IGF2BP2 complex using quantitative mass spectrometry and RT-qPCR, revealed that ZIKV infection alters the protein and RNA interactomes of IGF2BP2. Altogether, our data support that ZIKV hijacks and remodels the IGF2BP2 ribonucleoprotein complex to regulate vRO biogenesis and vRNA neosynthesis.

microbiology↗

bioRxiv2022

Purification and Characterization of Inorganic Pyrophosphatase for in vitro RNA Transcription

Inorganic pyrophosphatase (iPPase) is an enzyme that cleaves pyrophosphate into two phosphate molecules. This enzyme is an essential component of in vitro transcription (IVT) reactions for RNA preparation as it prevents pyrophosphate from precipitating with magnesium, ultimately increasing the rate of the IVT reaction. Large-scale RNA production is often required for biochemical and biophysical characterization studies of RNA, therefore requiring large amounts of IVT reagents. Commercially purchased iPPase is often the most expensive component of any IVT reaction. In this paper, we demonstrate that iPPase can be produced in large quantities and of high quality using a reasonably generic laboratory facility and that laboratory-purified iPPase is as effective as commercially available iPPase. Furthermore, using size-exclusion chromatography coupled with multi-angle light scattering and dynamic light scattering (SEC-MALS-DLS), analytical ultracentrifugation (AUC), and small-angle X-ray scattering (SAXS), we demonstrate that yeast iPPase can form tetramers and hexamers in solution as well as the enzymatically active dimer. Our work provides a robust protocol for labs involved with RNA in vitro transcription to efficiently produce active iPPase, significantly reducing the financial strain of large-scale RNA production. Statement of SignificanceWe show an easy two-step purification procedure to efficiently produce large quantities of iPPase, an expensive component of IVT reactions. Laboratory-produced iPPase can significantly reduce the financial strain on research labs that rely on large-scale RNA production for experiments. Furthermore, we show for the first time, using a combination of orthogonal biophysical techniques, that yeast iPPase assembles into higher-order oligomers similar to bacterial iPPase.

biochemistry↗

bioRxiv2022

Cyclization studies of Japanese encephalitis virus non-coding RNA terminal regions.

Numerous viruses utilize essential long-range RNA-RNA genome interactions, specifically flaviviruses. Using Japanese encephalitis virus (JEV) as a model system, we computationally predicted and then biophysically validated and characterized its long-range RNA-RNA genomic interaction. Using multiple RNA computation assessment programs, we determine the primary RNA-RNA interacting site among JEV isolates and numerous related viruses. Following in vitro transcription of RNA, we provide, for the first time, characterization of an RNA-RNA interaction using multi-angle light scattering (SEC-MALS) and analytical ultra-centrifugation (AUC). Next, we report the first RNA-RNA interaction study quantified by microscale thermophoresis (MST), demonstrating that the 5 and 3 TR of JEV interact with nM affinity, which is significantly reduced when the conserved cyclization sequence is not present. Furthermore, we perform computational kinetic analyses validating the cyclization sequence as the primary driver of this RNA-RNA interaction. Finally, we examined the 3-dimensional structure of the interaction using small-angle X-ray scattering, revealing a flexible yet stable interaction. This pathway can be adapted and utilized to study various viral and human long-non-coding RNA-RNA interactions, and determine their binding affinities, a critical pharmacological property of designing potential therapeutics. Graphical Abstract O_FIG_DISPLAY_L [Figure 1] M_FIG_DISPLAY C_FIG_DISPLAY

biochemistry↗

bioRxiv2021

Biophysical Characterisation of Human LincRNA-p21 Sense and Antisense Alu Inverted Repeats

Human Long Intergenic Noncoding RNA-p21 (LincRNA-p21) is a regulatory noncoding RNA that plays an important role in promoting apoptosis. LincRNA-p21 is also critical in down-regulating many p53 target genes through its interaction with a p53 repressive complex. The interaction between LincRNA-p21 and the repressive complex is likely dependent on the RNA tertiary structure. Previous studies have determined the two-dimensional secondary structures of the sense and antisense human LincRNA-p21 AluSx1 IRs using SHAPE. However, there were no insights into its three-dimensional structure. Therefore, we in vitro transcribed the sense and antisense regions of LincRNA-p21 AluSx1 Inverted Repeats (IRs) and performed analytical ultracentrifugation, size exclusion chromatography, light scattering, and small angle X-ray scattering (SAXS) studies. Based on these studies, we determined low-resolution, three-dimensional structures of sense and antisense LincRNA-p21. By adapting previously known two-dimensional information, we calculated their sense and antisense high-resolution models and determined that they agree with the low-resolution structures determined using SAXS. Thus, our integrated approach provides insights into the structure of LincRNA-p21 Alu IRs. Our study also offers a viable pipeline for combining the secondary structure information with biophysical and computational studies to obtain high-resolution atomistic models for long noncoding RNAs.

biochemistry↗

bioRxiv2021

Molecular mechanism of quorum sensing inhibition in Streptococcus by the phage protein paratox

Streptococcus pyogenes, or Group A Streptococcus, is a Gram-positive bacterium that can be both a human commensal and pathogen. Central to this dichotomy are temperate bacteriophages that incorporate into the bacterial genome as a prophage. These genetic elements encode both the phage proteins as well as toxins harmful to the human host. One such conserved phage protein paratox (Prx) is always found encoded adjacent to the toxin genes and this linkage is preserved during transduction. Within Streptococcus pyogenes, Prx functions to inhibit the quorum-sensing ComRS receptor-signal pair that is the master regulator of natural competence, or the ability to uptake endogenous DNA. Specifically, Prx directly binds and inhibits the receptor ComR by unknown mechanism. To understand how Prx inhibits ComR at the molecular level we pursued an X-ray crystal structure of Prx bound to ComR. The structural data supported by solution X-ray scattering data demonstrate that Prx induces a conformational change in ComR to directly access the DNA binding domain. Furthermore, electromobility shift assays and competition binding assays reveal that Prx effectively uncouples the inter-domain conformational change that is required for activation of ComR by the signaling molecule XIP. Although to our knowledge the molecular mechanism of quorum-sensing inhibition by Prx is unique, it is analogous to the mechanism employed by the phage protein Aqs1 in Pseudomonas aeruginosa. Together, this demonstrates an example of convergent evolution between Gram-positive and Gram-negative phages to inhibit quorum-sensing, and highlights the versatility of small phage proteins.

biochemistry↗

bioRxiv2021

Identification and characterization of a G-quadruplex structure in the pre-core promoter region of hepatitis B virus

Worldwide, [~]250 million people are chronically infected with the hepatitis B virus (HBV) and are at increased risk of cirrhosis and hepatocellular carcinoma. The HBV persists as covalently closed circular DNA (cccDNA), which acts as the template for all HBV mRNA transcripts. Nucleos(t)ide analogs do not directly target the HBV cccDNA and cannot eradicate the HBV. We have discovered a unique structural motif, a G-quadruplex in HBVs pre-core promoter region that is conserved amongst nearly all genotypes, and is central to critical steps in the viral life-cycle including the production of pre-genomic RNA, core and polymerase proteins, and encapsidation. Thus, an increased understanding of the HBV pre-core may lead to the development of novel anti-HBV cccDNA targets. We utilized biophysical methods to characterize the presence of the G-quadruplex, employed assays using a known quadruplex- binding protein (DHX36) to pull-down HBV cccDNA, and compared HBV infection in HepG2 cells transfected with wild-type and mutant HBV plasmids. This study provides insights into the presence of a G-quadruplex in the HBV pre-core promoter region essential for HBV replication. The evaluation of this critical host-protein interaction site in the HBV cccDNA may ultimately facilitate the development of novel anti-HBV therapeutics against the resilient cccDNA template.

biophysics↗

bioRxiv2020

Bioinformatic Analysis of Structure and Function of Lim Domains of Zyxin Family of Proteins

Members of the human Zyxin family are LIM domain-containing proteins that perform critical cellular functions and are indispensable for cellular integrity. Despite their importance, not much is known about their structure, functions, interactions and dynamics. To provide insights into these, we used a set of in-silico tools and databases and analyzed their amino acid sequence, phylogeny, post-translational modifications, structure-dynamics, molecular interactions, and functions. Our analysis revealed that zyxin members are ohnologs. Presence of a conserved nuclear export signal composed of LxxLxL/LxxxLxL consensus sequence, as well as a possible nuclear localization signal, suggesting that Zyxin family members may have nuclear and cytoplasmic roles. The molecular modeling and structural analysis indicated that Zyxin family LIM domains share similarities with transcriptional regulators and have positively charged electrostatic patches, which may indicate that they have previously unanticipated nucleic acid binding properties. Intrinsic dynamics analysis of Lim domains suggest that only Lim1 has similar internal dynamics properties, unlike Lim2/3. Furthermore, we analyzed protein expression and mutational frequency in various malignancies, as well as mapped protein-protein interaction networks they are involved in. Overall, our comprehensive bioinformatic analysis suggests that these proteins may play important roles in mediating protein-protein and protein-nucleic acid interactions.

biochemistry↗

bioRxiv2020

Brain Tumor IDH, 1p/19q, and MGMT Molecular Classification Using MRI-based Deep Learning: Effect of Motion and Motion Correction

Deep learning has shown promise for predicting glioma molecular profiles using MR images. Before clinical implementation, ensuring robustness to real-world problems, such as patient motion, is crucial. We sought to evaluate the effects of motion artifact on glioma marker classifier performance and develop a deep learning motion correction network to restore classification accuracies. T2w images and molecular information were retrieved from the TCIA and TCGA databases. Three-fold cross-validation was used to train and test the motion correction network on artifact-corrupted images. We then compared the performance of three glioma marker classifiers (IDH mutation, 1p/19q codeletion, and MGMT methylation) using motion-corrupted and motion-corrected images. Glioma marker classifier performance decreased markedly with increasing motion corruption. Applying motion correction effectively restored classification accuracy for even the most motion-corrupted images. For IDH classification, an accuracy of 99% was achieved, representing a new benchmark in non-invasive image-based IDH classification and exceeding the original performance of the network. Robust motion correction can enable high accuracy in deep learning MRI-based molecular marker classification rivaling tissue-based characterization. STATEMENT OF SIGNIFICANCEDeep learning networks have shown promise for predicting molecular profiles of gliomas using MR images. We demonstrate that patient motion artifact, which is frequently encountered in the clinic, can significantly impair the performance of these algorithms. The application of robust motion correction algorithms can restore the performance of these networks, rivaling tissue-based characterization.

neuroscience↗

bioRxiv2020

MRI-BASED DEEP LEARNING METHOD FOR DETERMINING METHYLATION STATUS OF THE O6 METHYLGUANINE DNA METHYLTRANSFERASE PROMOTER OUTPERFORMS TISSUE BASED METHODS IN BRAIN GLIOMAS

PURPOSEMethylation of the O6-Methylguanine-DNA Methyltransferase (MGMT) promoter results in epigenetic silencing of the MGMT enzyme and confers an improved prognosis and treatment response in gliomas. The purpose of this study was to develop a deep-learning network for determining the methylation status of the MGMT Promoter in gliomas using T2-w magnetic resonance images only. METHODSBrain MRI and corresponding genomic information were obtained for 247 subjects from The Cancer Imaging Archive (TCIA) and The Cancer Genome Atlas (TCGA). 163 subjects had a methylated MGMT promoter. A T2-w image only network (MGMT-net) was developed to determine MGMT promoter methylation status and simultaneous single label tumor segmentation. The network was trained using 3D-Dense-UNets. Three-fold cross-validation was performed to generalize the networks performance. Dice-scores were computed to determine tumor segmentation accuracy. RESULTSMGMT-net demonstrated a mean cross validation accuracy of 94.73% across the 3 folds (95.12%, 93.98%, and 95.12%, standard dev=0.66) in predicting MGMT methylation status with a sensitivity and specificity of 96.31% {+/-}0.04 and 91.66% {+/-}2.06, respectively and a mean AUC of 0.93 {+/-}0.01. The whole tumor segmentation mean Dice-score was 0.82 {+/-} 0.008. CONCLUSIONWe demonstrate high classification accuracy in predicting the methylation status of the MGMT promoter using only T2-w MR images that surpasses the sensitivity, specificity, and accuracy of invasive histological methods such as pyrosequencing, methylation-specific PCR, and immunofluorescence methods. This represents an important milestone toward using MRI to predict glioma histology, prognosis, and response to treatment.

neuroscience↗

bioRxiv2020

Nanoscale Structure Determination of Murray Valley Encephalitis and Powassan Virus Non-coding RNAs

Viral infections are responsible for numerous deaths worldwide. Flaviviruses, which contain RNA as their genetic material, are one of the most pathogenic families of viruses. There is an increasing amount of evidence suggesting that their 5 and 3 non-coding terminal regions are critical for their survival. In this study, the 5 and 3 terminal regions of Murray Valley Encephalitis and Powassan virus were examined using biophysical and computational modeling methods. First, the purity of in-vitro transcribed RNAs were investigated using size exclusion chromatography and analytical ultracentrifuge methods. Next, we employed small-angle X-ray scattering techniques to study solution conformation and low-resolution structures of these RNAs, which suggested that the 3 terminal regions are highly extended, compared to the 5 terminal regions for both viruses. Using computational modeling tools, we reconstructed 3-dimensional structures of each RNA fragment and compared them with derived small-angle X-ray scattering low-resolution structures. This approach allowed us to further reinforce that the 5 terminal regions adopt more dynamic structures compared to the mainly double-stranded structures of the 3 terminal regions.

biochemistry↗