Biology subjects

Khan, F.

Publications and source records attributed to Khan, F..

At least 19 recordsLinked to original sources

bioRxiv2026

Memory T Cells in MHC-Deficient Humanized Mice

Major histocompatibility complexes (MHC) govern antigen presentation and T cell receptor (TCR) selection. Accurate in vivo modeling of human immunity therefore requires physiological human MHC TCR interactions. Humanized NOD scid IL2null (NSG) mice engrafted with human CD34+ hematopoietic stem cells are widely used to provide preclinical platforms for the development of advanced therapies; however, interactions between murine MHC and human TCR can promote xenoreactivity and alter T cell development. Here, we investigated how elimination of murine MHC together with different conditioning regimens shapes human T cell maturation in vivo. CD34+ cells from ten cord blood donors were transplanted into conventional NSG mice or murine MHC deficient NSG derivatives (DKO) following either sublethal irradiation or myeloablative busulfan conditioning. Integrated analyses combining flow cytometry, plasma cytokine profiling, and bulk and single cell TCR sequencing revealed marked differences in T cell differentiation across models. Busulfan conditioned DKO mice developed highly proliferative, activated, and cytotoxic T cells together with clonally expanded TCR repertoires. In contrast, irradiated NSG mice preferentially accumulated naive, NKT, and regulatory T cell populations. Busulfan-conditioned DKO mice showed no evidence of xenogeneic graft versus host disease and represent a refined enabling platform for human T cell development and provide a foundation for future preclinical evaluation of advanced gene and cell therapies.

immunology↗

bioRxiv2026

Functional characterization of a cytosolic malic enzyme crucial for pyridine nucleotide homeostasis, redox balance, and virulence in Leishmania major

Malic enzymes (MEs) occupy a central node in metabolism, by catalyzing the reversible oxidative decarboxylation of malate to pyruvate, thereby contributing to maintenance of NADPH homeostasis. Leishmania spp. are known to encode two ME isoforms, however only one from Leishmania major has been functionally characterised till date to be a mitochondrial enzyme, playing critical role in gluconeogenesis. Here, we cloned and functionally characterized the second isoform, LmME2. Colocalization and subcellular fractionation analysis established that LmME2 localizes to the cytosol. Kinetic analyses of purified LmME2 revealed comparable rates of malate decarboxylation and pyruvate carboxylation, however, pyruvate carboxylation predominated in parasite cell lysates, indicating that the directionality of the reaction is metabolically regulated in cellular environment. Consistent with this, we identified oxaloacetate, ATP and fumarate as allosteric modulators of LmME2 activity. To dissect its physiological role, we generated CRISPR-Cas9-mediated LmME2 knockout parasites (LmME2-/-). Interestingly, LmME2 deletion did not alter NADPH levels but depleted both NADP+ and NAD+ pools, with reduction in NAD+ being more pronounced. This disruption of pyridine nucleotide homeostasis resulted in elevated intracellular ROS levels. Furthermore, inhibition of the pentose phosphate pathway, the alternative cytosolic source of NADPH, severely impaired the growth of LmME2-/- strain, highlighting the role of LmME2 in maintaining parasite fitness. These metabolic defects translated into markedly diminished intracellular survival of LmME2-/- parasites and its attenuated virulence in mice. Collectively, our findings identify LmME2 as the first functionally characterized cytosolic malic enzyme in Leishmania and establish it as a redox-associated virulence factor. These results further highlight LmME2 as a promising antileishmanial drug target.

cell biology↗

bioRxiv2026

Volumetric Flow Imaging Microscopy to Enhance Particle Characterization

Flow imaging microscopy (FIM) is an important technology for high-throughput characterization of microscopic particles and microorganisms. However, conventional FIM relies on single-plane imaging (SPI), resulting in out-of-focus particles, reduced measurement precision, and incomplete characterization of irregularly shaped objects extending along the z-axis. To address these limitations, a volumetric flow imaging (VFI) framework was developed and implemented on the portable ARTiMiS platform. This approach captures multiple frames along the z-axis and extracts the highest fidelity image for each particle, which can also be used for single image generation with all particles in focus (i.e., all in focus image) and for three-dimensional reconstruction of irregularly shaped objects. Benchmarking VFI with microspheres, live cells (Chlorella vulgaris), and filamentous cyanobacteria demonstrated increased fraction of particles in focus, reduced variability in particle size measurement, and increased resolvability of elongated particles in comparison to conventional SPI on commercially available FIM technologies. For C. vulgaris, VFI-derived size distributions closely matched curated FlowCam measurements without requiring post-processing to exclude out-of-focus particles. All-in-focus image reconstruction enabled simultaneous visualization of particles distributed across multiple depths and consistently resolved a greater proportion of filamentous structures as compared to SPI. For Aphanizomenon sp., Dolichospermum sp., and Planktothrix agardhii, the SPI approach captured only 84%, 61%, and 58%, respectively, of the total filament length resolved by AIF reconstruction. Beyond image-based characterization, VFI enabled estimation of dynamic particle properties such as sinking velocity and mass density. Application of this framework to C. vulgaris cultures revealed distinct mass-density trajectories under nitrogen-replete and nitrogen-deplete conditions, with cell mass density increasing over time under nitrogen-replete conditions and decreasing under nitrogen deprivation. Collectively, these results establish VFI as a next-generation framework for FIM that expands its analytical capabilities beyond conventional morphometric characterization and provides new opportunities for single-cell-enabled environmental monitoring and biomanufacturing.

Cell Biology↗

bioRxiv2026

Phase composition-specific behaviour of functional RNAs in liquid-liquid phase-separated microenvironment

The internal dynamics of liquid-liquid phase-separated systems are governed primarily by polymer packing, excluded-volume effect, and interactions between polymers and encapsulated macro-molecules. Although one immediate effect of such a constrained microenvironment is diffusion limitation, it remains unclear whether encapsulated macromolecules can also exhibit phase composition-specific functional behaviour that is not observable in a well-mixed aqueous environment. In this regard, different phases in a phase-separated environment can be accessed via a phase diagram that demarcates the region between two-phase (droplets) and one-phase (polymer-rich, no droplets) regimes. While the two-phase region is heterogeneous, most previous work on encapsulating functional macromolecules in phase-separated droplets uses a single point from the phase diagram. This leaves a clear gap in understanding on how the function scales across this landscape of droplets and identifying regions advantageous for the encapsulated macromolecule and its function. Here, using the Spinach light-up RNA aptamer, we show that RNA function does not scale uniformly across the phase diagram. We show that RNA can exhibit phase composition-specific functional behaviour due to constraints imposed by the internal microenvironment of phase-separated droplets. Furthermore, using variants of the Spinach aptamer, we show that fluorescence activity differences among the variants vary differently with phase-separation regimes across the phase map, suggesting that some regions of the phase diagram can confer a selective advantage. Our results highlight the potential of liquid-liquid phase-separated internal microenvironments in guiding the differentiation of functional RNA variants, which could serve as a physical selection pressure in pre-cellular evolution.

evolutionary biology↗

bioRxiv2026

Systematic comparisons between long-read and short-read based amplicon sequencing to characterize mixed microalgal communities.

The 18S rRNA gene has emerged as the primary molecular marker for amplicon-based characterization of microalgal communities, including in wastewater treatment systems, yet trade-offs between short- and long-read approaches remain poorly defined. We systematically compared V8-V9 short-read sequencing (Illumina MiSeq), full-length long-read sequencing with ss5ss3 primers (PacBio Sequel II), and computationally extracted V8-V9 regions from long-read data. Both in silico and in vitro analyses confirmed V8-V9 captured broader taxonomic coverage than ss5ss3, though partial reference sequences and taxonomic mis-annotations biased in silico assessments. Long-reads taxonomic advantage was database-dependent, constrained by SILVA databases genus-level curation but fully realized when paired with the species-level-curated and eukaryotes-focused PR{superscript 2} (Protist Ribosomal Reference) database. Long-read sequencing uniquely identified amplicon sequence variants (ASVs) assigned to key phosphorus assimilators (Scenedesmus obliquus, Desmodesmus sp., and Acutodesmus sp.) at species level during successful phosphorus removal in a full-scale microalgal cultivation system, while V8-V9 short-read sequencing revealed ASVs assigned to algal-predatory (Leptophryidae) and bacterivorous (Choanoflagellata and Rhogostoma-lineage) protists when performance declined, suggesting grazing pressure on the phosphorus-removing community. Although both approaches performed comparably for operational monitoring, these complementary strengths support short-read sequencing for routine community profiling and long-read sequencing for detailed functional investigations of Chlorophyta.

microbiology↗

bioRxiv2026

Next-generation all-in-one CRISPR/Cas9 multiply-edited CD30CAR-T cells:Potency despite risk of translocations

BackgroundChimeric antigen receptor (CAR)-T cells are therapeutic breakthroughs against advanced non-Hodgkin lymphomas and myelomas. On the other hand, no CAR-T cell product has been so far clinically approved for therapy of Hodgkin Lymphoma (HL), T cell lymphoma (TCL), or Epstein-Barr-Virus (EBV)-associated lymphoproliferative diseases (EBV-LPDs). CD30 (TNFRSF8) is commonly expressed on HL and on subsets of TCL and EBV-LPDs. CD30CAR-T cells generated via transduction with viral vectors have been tested in clinical trials, showing overall good responses against HL. CAR-T cells produced entirely with locus-specific gene editing methods are emerging as attractive next-generation engineered cell products for ease of multiple seamless cell modifications. MethodsUsing CRISPR/Cas9-mediated techniques, we optimized homology-directed repair templates (HDRTs) and performed all-in-one multiplex editing to knock-in (KI) CD30CAR within the TCR constant (TRAC) locus and to simultaneously knock-out (KO) PD-1 or/and {beta}2M. CD30CAR-T cells were tested in CD30+ cell models of HL, TCL, and EBV-LPDs. ResultsWe compared mouse versus human anti-CD30 scFv designs in HDRTs incorporating TRAC homology arms, FcIg spacer/detection domain, and CD28 / CD3{zeta} signaling domains. We obtained an average of 30% TRACKICD30CAR-T cells and efficient in vitro cytotoxicity with CD30+ cell targets. CARs incorporating the high-affinity humanized 5F11 scFv showed the highest CAR expression, and the editing templates were further modified to incorporate a truncated CD34 (tCD34) spacer/detection domain. 5F11-CD30CAR-tCD34-T cells showed high CAR-KI rates (approx. 50-80% 12-14 days after editing) and potency in vitro and in vivo. Subsequently, we tested all-in-one CAR KI with additional KOs by co-electroporation of guide RNAs (gRNAs) targeting the genes encoding PD-1 or /and {beta}2M to improve function and allow for improved cell persistence in allogeneic recipients, respectively. Compared with CD30CAR-T cells, CD30CAR-{beta}2MKO-T cells were similarly viable and functional and showed low risk of translocations. PD1KO enabled CD30CAR-T cells to produce higher levels of cytotoxic features upon exposure to targets. However, simultaneous {beta}2MKO and PD-1KO compromised the expansion capacity of CD30CAR-T cells and resulted in detectable translocations. ConclusionsNon-virally engineered 5F11-CD30CAR-T cells represent a novel cell therapy modality against CD30+ lymphomas. Multiplex editing remains to be optimized to avoid unwanted genomic alterations and chromosomal translocations.

cancer biology↗

bioRxiv2025

Computational Discovery of CRISPR-Cas13b Guide RNAs for Broad-Spectrum Dengue Virus Targeting

Dengue (DENV), an RNA virus, remains a significant global health threat, particularly in developing regions, with no widely effective antiviral therapy available. The CRISPRCas13b system, specifically the PspCas13b subtype, has emerged as a promising programmable antiviral tool capable of targeting viral RNA with high specificity. However, the efficacy of Cas13b-based interventions relies heavily on the design of potent and conserved CRISPR RNA (crRNA) spacer sequences, a task complicated by high viral genetic diversity. Unlike CRISPR-Cas9, which targets double-stranded DNA in eukaryotic genomes, Cas13b directly targets single-stranded RNA, making it ideally suited for RNA virus therapeutics; however, existing computational tools predominantly focus on Cas9 DNA targeting or Cas13d for mammalian transcript knockdown, leaving a significant gap for Cas13b-specific viral antiviral design. In this paper, we propose a computational pipeline and machine learning framework for the rational design of high-efficacy Cas13b guide RNAs targeting all four Dengue serotypes. Our approach integrates large-scale genomic data extraction, conservation analysis, and a novel in silico optimization module for guide RNA (gRNA) sequences, based on recently reported Cas13b design rules (e.g., 5 GG motif preference, Cytosine penalties). To predict targeting efficiency, we benchmark classical machine learning models (Random Forest, XGBoost) against foundation model-based predictors (Nucleotide Transformer, RNA-FM) using a dataset of experimentally validated spacers. Our results demonstrate that classical feature-engineered models significantly outperform deep learning approaches when trained on experimentally validated gRNA datasets in low-data regimes. We identify highly conserved, optimized crRNA candidates, including several pan-serotype guides with predicted high potency. This work establishes a baseline for Cas13b efficiency prediction and provides a robust computational resource for accelerating the development of CRISPR-based antivirals against Dengue and other RNA viruses. Code: https://github.com/muhammadali74/CAS13b_pipeline

bioinformatics↗

bioRxiv2025

PCNA Inhibition Enhances the Antitumor Activity of KRAS-Targeted Therapies in Pancreatic Cancer

Pancreatic ductal adenocarcinoma (PDAC) is an aggressive disease with a dismal prognosis. More than 90% of PDAC tumors harbor KRAS mutations, and several KRAS inhibitors, such as off-state, on-state, mutation-specific, and pan-RAS inhibitors, are being tested in preclinical and clinical settings. However, the response to these inhibitors as single agents is less than optimal, indicating the need to identify novel combination therapies to improve treatment outcomes. Proliferating cell nuclear antigen (PCNA) is a ring-shaped clamp protein that regulates DNA replication, repair, and resolution of transcription-replication conflict, which are critical processes for pancreatic cancer survival. AOH1996 is a first-in-class, selective PCNA inhibitor in Phase I trials. Here, we found that AOH1996 treatment is efficacious in various PDAC models in vitro. PCNA and KRAS are predicted to be synthetic lethal partners, and RNA sequencing of AOH1996-treated PDAC cells reveals enrichment of MAPK and PI3K signaling pathways. Combination of AOH1996 with KRAS inhibitors demonstrates strong synergy across KRAS G12C and G12D mutant models. Treatment with a combination of AOH1996 and KRAS inhibitors induces cell cycle arrest and apoptosis in PDAC cells. Robust antitumor activity of AOH1996 in combination with RMC-6236 was observed in PDAC tumoroids. In vivo, the combination of AOH1996 with sotorasib or MRTX1133 reduced tumor growth rates compared to single-agent therapy, with no impact on mouse body weight. Residual tumor analysis showed sustained pERK and Myc inhibition in the combination arm. In conclusion, combination of AOH1996 with KRAS inhibitors is a promising therapeutic strategy for KRAS-driven PDAC, warranting further clinical investigation.

cancer biology↗

bioRxiv2025

The free fatty acid 2 receptor regulates the activation potency of C5a and the sensitivity to the antagonist avacopan

The complement derived neutrophil chemoattractant C5a, is a potent activator of the neutrophil superoxide anion generating NADPH oxidase. An allosteric modulator specific for the free fatty acid 2 receptor increases the activating potency but not the efficacy of C5a. The allosteric modulator also decreases the inhibitory effect of the C5a receptor antagonist avacopan, suggesting that the NADPH oxidase is activated by two different signaling pathways downstream of the receptor for C5a. While the allosteric modulator affected the C5a-mediated activation of the NADPH oxidase, the C5a-induced rise in the intracellular concentration of free calcium ions was unaffected. The C5a receptor and the free fatty acid receptor belong to the family of G protein-coupled receptors family. Our results show that the activated C5a receptors generate signals that directly activate the NADPH oxidase and allosterically modulated free fatty acid receptors which secondarily generate signals that elicit NADPH oxidase activity. This is in line with an earlier described receptor transactivation model, by which the fatty acid receptor is activated by receptor downstream signals generated by several different neutrophil receptors to which we now add the receptor for C5a. In addition, the fatty acid receptor was higher ranked than the receptor for C5a, in the neutrophil receptor hierarchy. The dual receptor trans-regulatory effects, by which the receptor for C5a activates the fatty acid receptor and by which this receptor reduces the C5a response, represent new regulatory mechanisms of importance for the NADPH oxidase activity in neutrophils.

cell biology↗

bioRxiv2025

Encoding Cell Phenotype from Label-Free Imaging Flow Cytometry with Unsupervised Deep Learning

Phenotype characterization with single-cell resolution can enable deep and nuanced insights into microbiological systems. Currently, Flow Cytometry and Imaging Flow Cytometry (IFC) offer numerous advantages, but are marred by barriers to accessibility: (1) high instrument costs; (2) labor-intensive, technically demanding sample preparation; and (3) reliance on consumable reagents (i.e., fluorescent labels). To achieve phenotype characterization without these constraints, we evaluated the low-cost, low-input ARTiMiS IFC as a potential alternative instrument technology. To demonstrate this approach, we used intracellular lipid content in microalgae, an important phenotype for production of biofuels and high-value bioproducts, as the phenotype of interest. Variational Auto-Encoder (VAE) unsupervised deep learning methodology was implemented to encode phenotype variation from un-annotated training data. The VAE embeddings were compared with other label-free predictor modalities to evaluate the stability of VAE data encoding across replicates and its predictive power to estimate the target phenotype. The VAE embeddings were robust and consistent between culture batches, and yielded accurate, consistent predictions of the demonstration phenotype in a high-throughput, non-destructive, dye-free methodology. In this proof-of-concept study, we demonstrate that VAE-enabled ARTiMiS IFC may serve as a viable alternative for cell phenotype characterization while overcoming several of the key drawbacks of traditional high-fidelity techniques. SynopsisLabel-free Imaging Flow Cytometry data was processed by a Variational Auto-Encoder to accurately predict lipid content in microalgal cells.

microbiology↗

bioRxiv2025

RNAse-free manufacture of Venezuelan Equine Encephalitis Virus (VEEV) plasmid DNA vaccine

The long shelf-life and stability of DNA makes this platform highly attractive for low-cost, rapid delivery of pandemic response vaccines. Protocols utilized for clinical grade plasmid manufacture by contract development and manufacturing organizations are not readily accessible to academic and public research laboratories engaged in early-phase plasmid vaccine development. We present here the framework for DNA manufacturing using 3L-scale fermentation, anion-exchange chromatography and tangential flow filtration (TFF) leading to RNAase-free manufacture of plasmid DNA. The Venezuelan Equine Encephalitis Virus vaccine plasmid pWRG/VEEV, encoding the glycoprotein (E)3, E2, 6K and E1 genes was used as the prototype for this process development. The current effort yielded >95% pure and >80% supercoiled pWRG/VEEV plasmid preparations at 50-g wet cell weight scale. These data showed feasibility of manufacturing, highly pure pWRG/VEEV plasmid DNA using a cGMP compliant manufacturing process. Distribution StatementApproved for public release: distribution is unlimited

biochemistry↗

bioRxiv2025

Mineralocorticoid Receptor Antagonism Reduces Atrial Arrhythmias Post-Cardiac Surgery and Attenuates Atrial Stress Responses to Cardioplegic Arrest

BackgroundNew postoperative atrial fibrillation (POAF) occurs in about 40% after cardiac surgery. Mineralocorticoid receptor antagonists (MRA) are known to reduce chronic atrial fibrillation (AF) development and burden. We examined the impact of preoperative MRA use on POAF and also examine the atrial cell type impacted by MRA treatment during cold cardiac preservation. MethodsRetrospective study of 19,042 patients who underwent cardiac surgery at Mayo Clinic in Minnesota, and performed 1:3 propensity matching to obtain 298 patients on preoperative MRA matched to 894 who were not. We also separately matched patients using preoperative diuretics. Single-nuclei RNA sequencing (snRNA-seq) examined MRAs effects on different atrial cell types in canrenone (water soluble MRA) treated human donor hearts undergoing cold preservation followed by ex-vivo reperfusion and compared gene expression to the atria of patients with AF. ResultsPropensity matched preoperative MRA group had less new onset POAF (19.8% vs 31.5%, P<0.001). To account for the possibility that preoperative diuretic use and volume reduction may impact POAF, we propensity matched 298 preop diuretic users that included MRA use to another 894 patients who used a non-MRA diuretic preoperatively. Those who used preoperative MRA similarly had a lower incidence of POAF (19.8% vs 33.2%, P<0.001). No survival difference was present between the propensity matched groups that used preoperative diuretics (P=0.079). Preoperative MRA use also reduced the development of paroxysmal and chronic AF at 6 years of follow up. From our snRNA-seq data, we identified a subpopulation of atrial cardiomyocytes (CM2) that had high MR expression where canrenone suppressed the increase in MR target gene expression associated with cold preservation-reperfusion. These MR targets were conversely elevated in patients with chronic AF. Canrenone also suppressed other cardiac preservation associated genes that show elevated expression in atrial macrophages and pericytes from chronic AF atria. ConclusionsOur studies show that preoperative MRA use is associated with 40% reduction in POAF as well as lowering long standing AF development by about 41%. Our cold cadiac preservation-reperfusion model showed that canrenone reduced expression of MR target genes associated with chronic AF, particular in cardiomyocytes with important roles in electrical conduction. Clinical PerspectiveO_ST_ABSWhat is New?C_ST_ABSO_LIThis study shows that preoperative use of mineralocorticoid receptors antagonists (MRA) is associated with a reduced incidence of new onset perioperative atrial fibrillation after cardiac surgery utilizing cardiopulmonary bypass. C_LIO_LIWe show that preoperative MRA use is associated with a lower incidence of developing more chronic paroxymal or sustained atrial fibrillation. C_LIO_LIAddition of canrenone, a clinically utilized water soluble MRA, to cardioplegia solution used during cardiac preservation can attenuate atrial inflammatory reponses and reduce signaling through molecular pathways that promote atrial fibrillation. C_LI What are the clinical implications?O_LIPerioperative use of MRAs may be considered to reduce early postoperative atrial fibrillation as well as lowering the risk of developing more chronic atrial arrhythmias. C_LIO_LIThese findings support pursuing a clinical trial to determine the impact of MRA use on atrial arrhythmias following cardiac surgery in the setting of cardiopulmonary bypass with cold cardiac preservation. C_LI

molecular biology↗

bioRxiv2024

Morphotype-Resolved Characterization of Microalgal Communities in a Nutrient Recovery Process with ARTiMiS Flow Imaging Microscopy

Microalgae-driven nutrient recovery represents a promising technology to reduce effluent phosphorus while simultaneously generating biomass that can be valorized to offset treatment costs. As full-scale processes come online, system parameters including biomass composition must be carefully monitored to optimize performance and prevent culture crashes. In this study, flow imaging microscopy (FIM) was leveraged to characterize microalgal community composition in near real-time at a full-scale municipal wastewater treatment plant (WWTP) in Wisconsin, USA, and population and morphotype dynamics were examined to identify relationships between water chemistry, biomass composition, and system performance. Two FIM technologies, FlowCam and ARTiMiS, were evaluated as monitoring tools. ARTiMiS provided a more accurate estimate of total system biomass, and estimates derived from particle area as a proxy for biovolume yielded better approximations than particle counts. Deep learning classification models trained on annotated image libraries demonstrated equivalent performance between FlowCam and ARTiMiS, and convolutional neural network (CNN) classifiers proved significantly more accurate when compared to feature table-based deep neural network (DNN) models. Across a two-year study period, Scenedesmus spp. appeared most important for phosphorus removal, which were negatively associated with elevated temperatures and nitrite/nitrate concentrations. Chlorella and Monoraphidium also played an important role in system performance. For both Scenedesmus and Chlorella, smaller morphological types were more often associated with high system performance, whereas larger morphotypes implied a stress response correlating with poor phosphorus recovery rates. These results demonstrate the potential of FIM as a critical technology for high-resolution characterization of industrial microalgal processes. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=76 SRC="FIGDIR/small/628756v1_ufig1.gif" ALT="Figure 1"> View larger version (38K): org.highwire.dtl.DTLVardef@1023934org.highwire.dtl.DTLVardef@f9b4a0org.highwire.dtl.DTLVardef@1c193a6org.highwire.dtl.DTLVardef@1c48ec1_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗

bioRxiv2024

Integrating Machine Learning with Flow-Imaging Microscopy for Automated Monitoring of Algal Blooms

Real-time monitoring of phytoplankton in freshwater systems is critical for early detection of harmful algal blooms so as to enable efficient response by water management agencies. This paper presents an image processing pipeline developed to adapt ARTiMiS, a low-cost automated flow-imaging device, for real-time algal monitoring specifically in freshwater and environmental systems. This pipeline addresses several challenges associated with autonomous imaging of aquatic samples such as flow-imaging artifacts (i.e., out-of-focus and background objects), as well as specific challenges associated with monitoring of open environmental systems (i.e., identification of novel objects). The pipeline leverages a Random Forest model to identify out- of-focus particles with an accuracy of 89% and a custom background particle detection algorithm to identify and remove particles that erroneously appear in consecutive images with >97{+/-}2.8% accuracy. Furthermore, a convolutional neural network (CNN), trained to classify distinct classes comprising both taxonomical and morphological categories, achieved 94% accuracy in a closed dataset. Nonetheless, the supervised closed-set classifiers struggled with the accurate classification of objects when challenged with debris and novel particles which are common in complex open environments; this limits real-time monitoring applications by requiring extensive manual oversight. To mitigate this, three methods incorporating classification with rejection were tested to improve model precision by excluding irrelevant or unknown classes. Combined, these advances present a fully integrated, end-to-end solution for real-time HAB monitoring in open environmental systems thus enhancing the scalability of automated detection in dynamic aquatic environments. HighlightsO_LIRandom Forest model is more generalizable than Convolutional Neural Networks to remove out-of-focus particles. C_LIO_LIA two-stage clustering algorithm is effective at removing background particles in flow imaging microscopy. C_LIO_LIClosed-set CNN classifier performance deteriorates when challenged with unknown particles. C_LIO_LIClassification with rejection improves both precision and accuracy for environmental samples. C_LI

ecology↗

bioRxiv2024

The EZH2 inhibitor tazemetostat mitigates HIV immune evasion, reduces reservoir formation, and promotes durable CD8+ T-cell revitalization

Persistent HIV reservoirs in CD4 T-cells pose a barrier to curing HIV infection. We identified overexpression of enhancer of zeste homolog 2 (EZH2) in HIV-infected CD4 T- cells that survive cytotoxic T lymphocyte (CTL) exposure, suggesting a mechanism of CTL resistance. Inhibition of EZH2 with the FDA-approved drug tazemetostat increased surface expression of major histocompatibility complex class I (MHC-I) on CD4 T-cells, counterbalancing HIV Nef-mediated MHC-I downregulation. This improved CTL-mediated elimination of HIV-infected cells and suppressed viral replication in vitro. In a participant-derived xenograft mouse model, tazemetostat elevated MHC-I and the pro-apoptotic protein BIM in CD4 T-cells, facilitating CD8 T-cell-mediated reductions of HIV reservoir seeding. Additionally, tazemetostat promoted sustained skewing of CD8 T-cells toward less differentiated and exhausted phenotypes. Our findings reveal EZH2 overexpression as a novel mechanism of CTL resistance and support the clinical evaluation of tazemetostat to enhance clearance of HIV reservoirs and improve CD8+ T-cell function.

immunology↗

bioRxiv2024

Identification of targetable vulnerabilities of PLK1-overexpressing cancers by synthetic dosage lethality

Tumor heterogeneity poses a significant challenge in combating treatment resistance. Despite Polo-like kinase 1 (PLK1) being universally overexpressed in cancers and contributing to chromosomal instability (CIN), direct PLK1 inhibition hasnt yielded clinical progress. To address this, we utilized the synthetic dosage lethality (SDL) approach, targeting PLK1s genetic interactions for selective killing of overexpressed tumor cells while mitigating heterogeneity-associated challenges. Employing computational methods, we conducted a genome-wide shRNA screen, identifying 105 SDL candidates. Further in vivo CRISPR screening in a breast cancer xenograft model and in vitro CRISPR analysis validated these candidates. Employing Perturb-seq revealed IGF2BP2/IMP2 as a key SDL hit eliminating PLK1-overexpressing cells. Suppression of IGF2BP2, genetically or pharmacologically, downregulated PLK1 and limited tumor growth. Our findings strongly propose targeting PLK1s genetic interactions as a promising therapeutic approach, holding broad implications across multiple cancers where PLK1 is overexpressed.

cancer biology↗

bioRxiv2024

Bridging fungal resistance and plant growth through constitutive overexpression of Thchit42 gene in Pelargonium graveolens

Pelargonium graveolens essential oil possesses significant attributes, known for perfumery and aromatherapy. However, optimal yield and propagation are predominantly hindered by biotic stress. All biotechnological approaches have yet to prove effective in addressing fungal resistance. The current study developed transgenic geranium bridging molecular mechanism of fungal resistance and plant growth by introducing cassette 35S::Thchit42. Furthermore, 120 independently putative transformed explants were regenerated on kanamycin fortified medium. Primarily transgenic lines were demonstrated peak pathogenicity and antifungal activity against formidable Colletotrichum gloeosporioides and Fusarium oxysporum. Additionally, phenotypic analysis revealed [~]2fold increase in leaf size and [~]2.1fold enhanced oil content. To elucidate the molecular mechanisms for genotypic cause, De novo transcriptional profiles were analyzed to indicate that the auxin-regulated longifolia gene is accountable for augmentation in leaf size, and ZF RICESLEEPER attributes growth upregulation. Collectively, data provides valuable insights into unravelling the mechanism of Thchit42-mediated crosstalk between morphological and chemical alteration in transgenic plants. This knowledge might create novel opportunities to cultivate fungal-resistant geranium throughout all seasons to fulfil demand.

plant biology↗

bioRxiv2024

Introducing ARTiMiS: A low-cost flow imaging microscope for phytoplankton monitoring in engineered and natural environments

Manual microscopy is the gold standard for phytoplankton monitoring in diverse engineered and natural environments. However, it is both labor-intensive and requires specialized training for accuracy and consistency, and therefore difficult to implement on a routine basis without significant time investment. Automation can reduce this burden by simplifying the measurement to a single indicator (e.g., chlorophyll fluorescence) measurable by a probe, or by processing samples on an automated cytometer for more granular information. The cost of commercially available flow imaging cytometers, however, poses a steep financial barrier to adoption. To overcome these labor and cost barriers, we developed ARTiMiS: the Autonomous Real-Time Microbial Scope. The ARTiMiS is a low-cost flow imaging microscopy-based platform with onboard software capable of providing species-level quantitation of phytoplankton communities in real-time. ARTiMiS leverages novel multi-modal imaging and onboard machine learning-based data processing that is currently optimized for a curated and expandable database of industrially relevant microalgae. We demonstrate its operational limits, performance in identification of laboratory-cultivated microalgae, and potential for continuous monitoring of complex microalgal communities in full-scale cultivation systems. SynopsisWe introduce a platform for low-cost real-time imaging monitoring of phytoplankton and demonstrate its utility in real-time monitoring of laboratory- and full-scale microalgal cultivation systems.

bioengineering↗