Biology subjects

Asad, S.

Publications and source records attributed to Asad, S..

10 recordsLinked to original sources

bioRxiv2025

Virome profiling of Culex tarsalis through small RNA-seq: A challenge of suboptimal samples

Viral infections in mosquitoes trigger the RNA interference (RNAi) pathway, a key antiviral defense mechanism that generates virus-derived small RNAs (vsRNAs). Given the natural enrichment of vsRNAs during infection and their stability, small RNA sequencing (sRNA-seq) has emerged as a powerful tool for virome characterization. Culex tarsalis is a widely distributed mosquito species in North America and is an important vector of West Nile virus (WNV). Previous studies have shown that co-infection with insect-specific viruses (ISVs) can modulate WNV replication in Cx. tarsalis, highlighting the importance of characterizing the virome of this species. Here, we investigated the virome of Cx. tarsalis populations across 5 states of the Midwestern United States using sRNA-seq. We analyzed samples from 17 geographic locations which were collected under suboptimal field conditions during the COVID-19 pandemic, presenting challenges related to sample integrity. Despite these challenges, sRNA-seq proved to be a reliable method for virome analysis. We identified seven viruses associated with Cx. tarsalis, along with their respective sRNA (siRNA and piRNA) profiles. These findings not only deepen our understanding of ISVs, but also demonstrate the utility of sRNA-seq in non-ideal situations, enabling the collection and analysis of samples under real-world surveillance scenarios.

microbiology↗

bioRxiv2024

Temporally overlapping mechanisms diversify clonal B cell responses in vivo.

Naive B cells amplify and diversify their responses when activated by cognate antigen, via Myc-dependent clonal expansion, immunoglobulin class switch recombination (CSR), phenotypic variation, and somatic hypermutation (SHM). Whether these mechanisms act combinatorially in vivo to diversify clonal responses to a single pathogen remains unclear. Since diversity in the antigenic targets, functional classes, and production kinetics of parasite-specific antibodies influences immunity to malaria, we test here whether individual B cell clones diversify over time during Plasmodium infection and treatment. During the first week of infection, amid widespread Type I Interferon (IFN)-mediated bystander activation, CSR initiates soon after Myc up-regulation, and overlaps partially with clonal expansion, resulting in isotype variegation amongst clones. During the second week of infection, expanded clones that seed germinal centres (GC) bifurcate into extra-follicular plasmablasts, exhibit isotype variegation, and initiate SHM, revealing substantial intra-clonal diversification. Over the following month, GC clones exhibit SHM at approximately four mutations per week, with IgG mutational diversity and IgM+ cells also preserved in GCs over time. Anti-malarial intervention does not impede SHM, but instead exerts quantitative limits on GC size, plasma cell emergence, circulating IgG levels, and protection against re-infection. Finally, contemporaneous B cell development relocates from bone marrow to spleen during infection and treatment. Thus, multiple temporally overlapping mechanisms combine in vivo to amplify, diversify, and safeguard humoral immune responses. We present this data as a temporal, multi-parameter atlas of B cell differentiation in vivo: https://bcell-dynamics.science.unimelb.edu.au Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=130 SRC="FIGDIR/small/628863v2_ufig1.gif" ALT="Figure 1"> View larger version (32K): org.highwire.dtl.DTLVardef@c57890org.highwire.dtl.DTLVardef@6e5936org.highwire.dtl.DTLVardef@a2e872org.highwire.dtl.DTLVardef@14abbac_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIPartial temporal overlap of CSR with clonal expansion leads to isotype variegation in clones. C_LIO_LIClones seeding GCs bifurcate into plasmablasts and exhibit isotype variegation. C_LIO_LIGC B cells accrue [~]4 mutations/week, a rate unaffected by anti-malarials. C_LIO_LIPlasmodium infection triggers antigen-independent Type I IFN-mediated bystander activation. C_LIO_LIB cell development is preserved in malaria by shifting from bone marrow to spleen. C_LI

immunology↗

bioRxiv2024

In Silico-Driven Engineering of Halomonas elongata L-Asparaginase: Towards Enhanced Proteolytic Resistance in Lymphoblastic Leukemia

The shortened L-asparaginases half-life in leukemia patients due to elevated serum proteases, poses a challenge. This study aimed to enhance the stability of Halomonas elongata L-asparaginase against trypsin. Employing the trRosetta server, we modeled the enzymes 3D structure with a quality score of 96.5, revealing predominant secondary structure of random coils (42%), alpha helices (33%), and extended strands (20%) organized in two domains. Molecular docking unveiled a triad alignment among residues Thr16, Ser65, and Asp97 with L-asparagine. Site selection for mutation considered secondary structure prediction, dimerization analysis, trypsin cleavage site determination and epitope mapping. A library of enzyme variants was constructed through site saturation mutagenesis which led to the identification of the Arg206 to Thr, resulting in a 1.7-fold increased enzyme-specific activity (2400 U/mg) and heightened trypsin resistance. The mutant displayed a half-life of 3.47 hin human serum, approximately 50% longer than the wild type. In silico analyses confirmed structural stability, reduced flexibility, and enhanced substrate binding, contributing to increased proteolysis resistance and enzymatic activity. The Arg206Thr mutant exhibited anti-proliferative activity (IC50 of 1.45 U/ml) on leukemia cell line K562, suggesting potential therapeutic implications.

molecular biology↗

bioRxiv2024

Niche-aware metagenomic screening for enzyme methioninase illuminates its contribution to metabolic syntrophy

AbstractThe single step methioninase-mediated degradation of methionine (as a sulfur containing amino acid) is a reaction at the interface of carbon, nitrogen, sulfur, and methane metabolism in microbes. This enzyme is also a therapeutic target for its role in starving auxotrophic cancer cells. Applying our refined in-silico screening pipeline on 33,469 publicly available genome assemblies and 1878 MAGs/SAGs from brackish waters of the Caspian Sea and the Fennoscandian shield deep groundwater resulted in recovering 1845 methioninases. The majority of recovered methioninases belong to representatives of phyla Proteobacteria (50%), Firmicutes (29%), and Firmicutes_A (13%). Prevalence of methioninase among anaerobic microbes and in the anoxic deep groundwater together with the relevance of its products for energy conservation in anaerobic metabolism highlights such environments as desirable targets for screening novel methioninases and resolving its contribution to microbial metabolism and interactions. Among archaea, majority of detected methioninsaes are from representatives of Methanosarcina that are able to use methanethiol, the sulfur containing product from methionine degradation, as a precursor for methanogenesis. Branching just outside these archaeal methioninases in the phylogenetic tree we recovered 3 methioninases belonging to representatives of Patescibacteria reconstructed from deep groundwater metagenomes. We hypothesize that methioninase in Patescibacteria could contribute to their syntrophic interactions where their methanogenic partners/hosts benefit from the produced 2-oxobutyrate and methanethiol.

microbiology↗

bioRxiv2023

CD4+ T cells display a spectrum of recall dynamics during re-infection with malaria parasites.

Children in malaria-endemic regions can experience multiple Plasmodium infections over a short period of time, with in vitro CD4+ T cell recall responses becoming more regulatory with increasing age and exposure. This suggests that repeated infection qualitatively changes CD4+ T cells, although the heterogeneity and dynamics of these responses await systematic analysis in vivo. Here, we examined TCR transgenic PbTII and polyclonal CD4+ T cells during Plasmodium re-infection in mice, in conjunction with scRNA-seq/TCR-seq and spatial transcriptomics at near single-cell resolution. PbTII cells gave rise to multiple antigen-experienced states in different areas of the spleen after primary infection and antimalarial treatment, including ongoing GC responses and T-cell zone memory. Upon re-infection, Th1-memory PbTII cells initiated a rapid effector response prior to proliferating, while GC Tfh cells of the same antigen specificity were entirely refractory within the same organ. Transcriptome dynamic modelling and network analysis of Th1 recall revealed a biphasic wave of RNA processing that firstly preceded immune effector transcription, and later accompanied cellular proliferation. Importantly, Th1 recall constituted a partial facsimile of primary Th1 responses, with no unique genes amongst the small subset of those upregulated upon re-infection. Finally, we noted a similar spectrum of antigen-experienced states and recall dynamics by polyclonal CD4+ T cells with diverse TCRs. Therefore, during re-infection with Plasmodium, persisting GC Tfh cells remained unaltered transcriptionally, Tcm/Tfh-like cells exhibited minimal proliferation, and Th1-memory cells displayed a rapid, proliferating IL-10-producing Tr1 response consistent with a shift towards immune-regulation. These data highlight a broad spectrum of simultaneous CD4+ T cell responses that occur in the spleen during re-infection with malaria parasites. HighlightsO_LISplenic TCR transgenic CD4+ T cells are highly heterogeneous prior to re-infection. C_LIO_LIPersisting GC Tfh cells are refractory to re-activation during re-infection. C_LIO_LITh1-memory cells rapidly upregulate RNA processing prior to effector function and proliferation. C_LIO_LITh1-recall is an imperfect but faithful facsimile of primary Th1 responses. C_LIO_LIA spectrum of recall states is observed in polyclonal CD4+ T cells with diverse TCRs. C_LI

immunology↗

bioRxiv2023

Spatial transcriptomics maps molecular and cellular requirements for CD4+ T cell-dependent immunity to malaria.

CD4+ T cells orchestrate adaptive immunity to circulating malaria parasites; yet cellular interactions and molecular mechanisms controlling Th1 and Tfh differentiation in the spleen remain to be fully defined in vivo. Here, using a murine model of CD4-dependent immunity, we tested if Slide-seqV2, a spatial transcriptomic method with near single-cell resolution, could determine the locations of multiple CD4+ T cell subsets and potentially interacting cellular partners in the spleen during infection. Firstly, Slide-seqV2 readily mapped splenic cellular structure and microanatomical change during infection. Next, computational integration with scRNA-seq reference datasets of splenocytes, stromal cells, and specifically of polyclonal CD4+ T cells and B cells, mapped the relative locations of multiple cell-types within this dense tissue. scRNA-seq of B cells over time mapped emergence of germinal centre B cells, red pulp-located plasmablasts and atypical B cells, and uncovered a prolonged CD4+ T-cell-independent, follicular bystander B cell response marked by Sca-1 and Ly6C upregulation. scRNA-seq of activated, polyclonal CD4+ T cells revealed their similarity to our previous TCR transgenic models. Importantly, spatial analysis revealed polyclonal Th1 cells co-localised with CXCL9/10-producing monocytes in the red pulp, while polyclonal Tfh-like cells were located close to CXCL13-expressing B cell follicles, consistent with our previous CXCR3/CXCR5 competition model of Th1/Tfh bifurcation. CRISPR/Cas9 disruption of either or both CXCR3 and CXCR5 in naive Plasmodium-specific CD4+ T cells had unexpectedly minor effects on Th1 differentiation in vivo. Instead, CXCR5 was essential for maximising clonal expansion, suggesting a role for splenic CXCL13+ cells in supporting CD4+ T cell proliferation in malaria. Thus, spatial transcriptomics at near single-cell resolution was feasible in densely packed secondary lymphoid tissue, providing multiple insights into mechanisms controlling splenic polyclonal CD4+ T cell and B cell differentiation during infection. HighlightsO_LISlide-seqV2 maps splenic microanatomy, including stromal and immune cell location. C_LIO_LIBystander activation of all follicular B cells occurs in malaria, marked by Sca-1/Ly6C upregulation. C_LIO_LISingle naive polyclonal CD4+ T cells differentiate mostly into Th1 and Tfh cells in malaria. C_LIO_LICell-cell colocalization analysis positions Th1 cells with monocytes in red pulp, and Tfh cells with Cxcl13+ B cell follicles. C_LIO_LICXCR5, but not CXCR3, supports parasite-specific CD4+ T cell clonal expansion. C_LI

immunology↗

bioRxiv2022

Genome-resolved insight into the reservoir of antibiotic resistance genes in an aquatic microbial community

Aquatic microbial communities are an important reservoir of Antibiotic Resistance Genes. However, distribution and diversity of different ARG categories in environmental microbes with different ecological strategies is not yet well studied. Despite the potential exposure of the southern part of the Caspian Sea to the release of antibiotics, little is known about its natural resistome profile. We used a combination of Hidden Markov model (HMM), homology alignment and a deep learning approach for comprehensive screening of the diversity and distribution of ARGs in the Caspian Sea metagenomes at a genome resolution. Detected ARGs were classified into five antibiotic resistance categories including Prevention of access to target (44%), Modification/protection of targets (30%), Direct modification of antibiotics (22%), Stress resistance (3%), and Metal resistance (1%). The 102 detected ARG containing metagenome-assembled genomes of the Caspian Sea were dominated by representatives of Acidimicrobiia, Gammaproteobacteria and Actinobacteria classes. Comparative analysis revealed that the highly abundant, oligotrophic, and genome streamlined representatives of taxa Acidimicrobiia and Actinobacteria modify the antibiotics target via mutation to develop antibiotic resistance rather than carrying extra resistance genes. Our results help with understanding how the encoded resistance categories of each genome are aligned with their ecological strategies.

microbiology↗

bioRxiv2021

Identification of microRNAs in the West Nile virus vector Culex tarsalis

BackgroundmicroRNAs (miRNAs) represent a group of small non-coding RNAs that are crucial gene regulators of important biological functions including development and pathogen defense in most living organisms. Presently, there is a lack of availability of information regarding the miRNAs in the mosquito Culex tarsalis, which is one of the most important vectors of West Nile virus (WNV) in the United States. We used small RNA sequencing data and in vitro and in vivo experiments to identify and validate the presence of a repertoire of miRNAs in Cx. tarsalis mosquitoes. ResultsUsing bioinformatic approaches we analyzed small RNA sequencing data from the Cx. tarsalis CT embryonic cell line to discover 86 miRNAs. Consistent with other mosquitoes such as Aedes albopictus and Cx. quinquefasciatus, mi-184 was found to be the most abundant miRNA in Cx tarsalis. We also identified an additional 20 novel miRNAs from the recently sequenced Cx. tarsalis genome, for a total of 106 miRNAs identified in this study. The presence of selected miRNAs was biologically validated in both cell line and adult Cx. tarsalis mosquitoes using RT-qPCR and sequencing. ConclusionsCx. tarsalis is an important vector of many medically important pathogens including WNV and Western Equine encephalitis. Here we report a detailed insight into the miRNA population in Cx. tarsalis mosquitoes. These results will open new avenues of research deciphering the role of miRNAs in different Cx. tarsalis biological events such as development, metabolism, immunity and pathogen infection.

genomics↗

bioRxiv2019

Comparison of in vitro and in planta toxicity of Vip3A for lepidopteran herbivores

Agricultural pest infestation is as old as domestication of food crops and contributes a major share to the cost of crop production. Transgenic production of Vip3A, an insecticidal protein from Bacillus thuringiensis, effectively controls lepidopteran pests. A synthetic vip3A gene was evaluated its efficacy against Spodoptera litura (cotton leafworm), Spodoptera exigua (beet armyworm), Spodoptera frugiperda (fall armyworm), Helicoverpa armigera (cotton bollworm), Helicoverpa zea (corn earworm), Heliothis virescens (tobacco budworm), and Manduca sexta (tobacco hornworm). In artificial diet assays, the Vip3A concentration causing 50% mortality was H. zea > H. virescens > S. exigua > H. armigera > M. sexta > S. frugiperda > S. litura. In contrast, on vip3A transgenic tobacco the order of resistance (time until 50% lethality) was M. sexta > H. virescens > S. litura > H. zea > H. armigera > S. exigua > S. frugiperda. There was no significant correlation between the artificial diet and transgenic tobacco effects. Notably, the two insect species that are best-adapted for growth on tobacco, M. sexta and H. virescens, showed the greatest tolerance of vip3A-transgenic tobacco. This may indicate synergistic effects of Vip3A and endogenous plant defense mechanisms, e.g. nicotine, to which M. sexta and H. virescens would have greater resistance. Together, our results show that artificial diet assays are a poor predictor of Vip3A efficacy in transgenic plants, lepidopteran species vary in their sensitivity to Vip3A in diet-dependent manner, and that host plant adaptation of the targeted herbivores should be considered when designing transgenic plants for pest control.

molecular biology↗

bioRxiv2019

Machine learning predicts rapid relapse of triple negative breast cancer

PurposeMetastatic relapse of triple-negative breast cancer (TNBC) within 2 years of diagnosis is associated with particularly aggressive disease and a distinct clinical course relative to TNBCs that relapse beyond 2 years. We hypothesized that rapid relapse TNBCs (rrTNBC; metastatic relapse or death <2 years) reflect unique genomic features relative to late relapse (lrTNBC; >2 years).\n\nPatients and MethodsWe identified 453 primary TNBCs from three publicly-available datasets and characterized each as rrTNBc, lrTNBC, or no relapse (nrTNBC: no relapse/death with at least 5 years follow-up). We compiled primary tumor clinical and multi-omic data, including transcriptome (n=453), copy number alterations (CNAs; n=317), and mutations in 171 cancer-related genes (n=317), then calculated published gene expression and immune signatures.\n\nResultsPatients with rrTNBC were higher stage at diagnosis (Chi-square p<0.0001) while lrTNBC were more likely to be non-basal PAM50 subtype (Chi-square p=0.03). Among 125 expression signatures, five immune signatures were significantly higher in nrTNBCs while lrTNBC were enriched for eight estrogen/luminal signatures (all FDR p<0.05). There was no significant difference in tumor mutation burden or percent genome altered across the groups. Among mutations, only TP53 mutations were significantly more frequent in rrTNBC compared to lrTNBC (Fisher exact FDR p=0.009). To develop an optimal classifier, we used 77 significant clinical and omic features to evaluate six modeling approaches encompassing simple, machine learning, and artificial neural network (ANN). Support vector machine outperformed other models with average receiver-operator characteristic area under curve >0.75.\n\nConclusionsWe provide a new approach to define TNBCs based on timing of relapse. We identify distinct clinical and genomic features that can be incorporated into machine learning models to predict rapid relapse of TNBC.

cancer biology↗