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Hussein, M.

Publications and source records attributed to Hussein, M..

12 recordsLinked to original sources

A population-scale landscape of the subgingival microbiome reveals divergent routes to periodontal dysbiosis

Periodontitis is an archetypical mucosal inflammatory disease in which microbiome dysbiosis at the tooth-epithelial interface interacts with host genetic and behavioral risk factors to drive immune-mediated tissue destruction. Although subgingival microbiome compositional shifts are thought to parallel disease severity, microbiome variation at the population-level and its relationship to periodontal clinical phenotypes and disease-modifying factors remain poorly defined. Here, we use unsupervised manifold learning to map the compositional landscape of the subgingival microbiome in 1,355 adults spanning periodontal health to severe periodontitis. We identified eight latent microbiome states organized along a branching continuum from eubiosis to dysbiosis. An intermediate microbial configuration marked ecological destabilization and bifurcation into two distinct periodontitis-associated dysbiotic trajectories, distinguished by links to gingival inflammation and smoking. Although the microbiome trajectories broadly tracked periodontal destruction, a minority of individuals showed discordant microbiome-clinical phenotypes, with some individuals with periodontitis retaining otherwise eubiotic microbiomes enriched for low-abundance pathobionts, while some cases of health or mild disease had highly dysbiotic communities, suggesting distinct host susceptibility. Together, these findings define a population-scale ecological landscape of the subgingival microbiome, reveal divergent trajectories to periodontal dysbiosis, and highlight heterogeneity in the relationship between microbial community structure and clinical disease expression.

microbiology↗

Identical Dormancy Gene Mutations Reveal Unanticipated Relatedness Among Low-Chill Apples

Apples (Malus x domestica) are popular fruits grown in temperate regions of the world. The various genotypes must meet a specific threshold amount of cold exposure before they are competent to break dormancy, a quantity approximated as "chill hours". Several varieties have been identified that exhibit an ultra-low-chill requirement, or more precisely shallow dormancy, breaking vegetative and floral buds early in spring in response to minimal cold exposure. These ultra-low-chill genotypes originated from the Bahamas ( Dorsett Golden,1960s), Israel ( Anna, 1950s) and Alabama, USA ( Shell of Alabama, 1880s). The separation in time and space implies that each would feature distinct genetic lesions that govern dormancy control, providing discrete mechanisms to incorporate a low-chill trait in variety improvement. However, analysis of microsatellites and ultimately genome sequence indicates that Dorsett Golden and Anna share strong concordance with the Shell of Alabama genotype, as well as other ultra-low-chill varieties. Kinship analysis confirms that all are closely related, despite differences in year and place of origin. All three low-chill genotypes share common mutations in the DORMANCY ASSOCIATED MADS-BOX1(DAM1) gene, a known repressor of vegetative growth during dormancy. Genomic sequence diversity is observed among Shell of Alabama individuals, including differences in DAM1 that match differences in flowering time. The results of this study call into question the pedigrees of the ultra-low-chill apple germplasm and indicate variation in an otherwise narrow genetic base for use in future breeding efforts.

plant biology↗

Bioactive Cationic Lipidated Oligomers (CLOs) as Antimicrobial Materials: Metabolomic Insights into MRSA Membrane Disruption

The escalating incidence of antimicrobial resistance in Staphylococcus aureus, particularly the methicillin-resistant strain (MRSA), necessitates the development of novel therapeutic strategies. Cationic lipidated oligomers (CLOs) have emerged as promising membrane-active antimicrobial agents; however, their mechanisms of action remain insufficiently understood. In this study, untargeted metabolomics was employed to systematically profile the temporal metabolic perturbations induced by two structurally distinct CLOs, C12-o-DMEN-10 and C12-o-BEDA-10, in MRSA across four defined time points (0.25, 0.5, 1, and 3 hours). These CLOs previously demonstrated differential antibacterial activity, as evidenced by dose-dependent propidium iodide (PI) uptake and growth inhibition assays. Metabolomic analysis revealed pronounced and sustained disruptions in bacterial membrane lipid metabolism, including significant depletion of phosphatidylglycerols ([&ge;] -2.5 log2FC, p < 0.05), alongside elevated levels of phosphatidylethanolamines, lysophospholipids, and fatty acid-derived metabolites indicative of membrane destabilization and lipid remodelling. Although both CLOs affected overlapping metabolic pathways, they differed in the extent and temporal dynamics of their effects. These findings provide mechanistic insights into CLO-mediated antibacterial activity and highlight the value of metabolomics in elucidating both direct and downstream cellular responses, which extend beyond the scope of conventional membrane integrity assays, such as PI fluorescence.

systems biology↗

Ecological and Stochastic Determinants of the Growth and Persistence of the Oral Pathogen Porphyromonas gingivalis

Population density plays a critical role in microbial fitness, yet its influence on pathogen colonization and persistence remains incompletely understood. Porphyromonas gingivalis (Pg) exhibits Allee-type growth, requiring a quorum threshold to replicate, yet is frequently detected at low abundance in vivo. We integrate quantitative growth experiments with mathematical modeling to identify ecological and stochastic determinants of Pg persistence. A cubic Allee-effect model quantifies a quorum threshold below which populations collapse, while conditioned medium from Veillonella parvula (Vp) lowers this threshold, indicating early-colonizer facilitation. Stochastic extensions and Fokker-Planck analysis show that microenvironmental noise enables escapes across the Allee barrier, consistent with long-term subthreshold experiments yielding a stationary, powerlaw-like distribution and under-threshold survival. Pg-Vp co-cultures further demonstrate replicate rescue outcomes for subcritical inocula. Critically, Vp reliably saturates to capacity, constraining terminal phases within the experimental horizon to coexistence (Pg persists with Vp at capacity) or Pg extinction. A two-species replicator model maps these outcomes onto a ({beta}, {gamma}) plane, restricting accessible regions once Vp is established and suggesting interventions that reduce facilitation or variability to restore eubiosis and limit Pg-associated inflammation.

systems biology↗

Overcoming lentiviral delivery limitations in hard-to-transduce suspension cells for genome-wide CRISPR screening

Lentiviral vectors are a cornerstone delivery modality of biomedical research, renowned for their ability to stably integrate genetic material into the host genome, enabling sustained transgene expression and long-term genetic manipulation. These properties make them indispensable tools in functional genomics and genome engineering, particularly for delivering molecular components in high-throughput CRISPR screening, a powerful approach for uncovering the genetic basis of complex cellular mechanisms and phenotypes. However, challenges such as lentiviral-induced recombination, unpredictable integration profiles, and variable susceptibility of target cells to transduction can introduce noise and compromise experimental outcomes. In this study, we selected two suspension-adapted mammalian cell lines, Chinese Hamster Ovary cells CHO-K1 and Human Embryonic Kidney cells HEK293-6E, due to their widespread use in recombinant protein production. Recognizing the influence of intrinsic cell line properties and transduction methodology, we compared two distinct procedures: spinoculation and static transduction. By implementing a two-step static transduction protocol, we achieved significantly higher transduction efficiencies while minimizing cellular stress, streamlining workflows, and eliminating scalability limitations inherent to large-scale lentiviral applications like genome-wide CRISPR screens. To further characterize the variation in lentiviral integration, we used droplet digital PCR (ddPCR) to quantify copy number variation (CNV) both at the pooled population level and within individual clonal isolates. This comprehensive analysis underscores the robustness of our optimized protocol in enhancing transduction efficiency in difficult-to-transduce suspension cell lines. It further emphasizes the importance of carefully modulating infection rates to limit multiple integrations, ensuring the accuracy and consistency required for large-scale functional genomics applications.

molecular biology↗

A genome-scale CRISPR deletion screen in Chinese Hamster Ovary cells reveals essential regions of the coding and non-coding genome

The biopharmaceutical sector relies on CHO cells to investigate biological processes and as the preferred host for production of biotherapeutics. Simultaneously, advancements in CHO cell genome assembly have provided insights for developing sophisticated genetic engineering strategies. While the majority of these efforts have focused on coding genes, with some interest in transcribed non-coding RNAs (e.g., microRNAs and lncRNAs), there remains a lack of genome-wide systematic studies that precisely examine the remaining 90% of the genome. This unannotated "dark matter" includes regulatory elements and other, poorly understood or characterized functionality of the genome that may be potentially critical for cell survival. In this study, we deployed a genome-scale CRISPR screening platform with 112,272 paired guide RNAs targeting 14,034 genomic regions for complete deletion of 150 kb long sections. This platform enabled the execution of a negative screen that selectively identified dying cells to determine regions essential for cell survival. By using paired gRNAs, we overcame the intrinsic limitations of traditional frameshift strategies, which will likely have little or no effect on the non-coding genome. This study revealed 427 regions essential for CHO survival, many of which currently lack gene annotation or known function. For these regions we present annotation status, transcriptional activity as well as annotated chromatin states such as enhancers. Selected regions, specifically those that were negative for all the above, were individually deleted for confirmation. This work sheds a novel light on a substantial part of the mammalian genome which is traditionally difficult to investigate and therefore, neglected.

cell biology↗

Live-cell RNA imaging with the inactivated endonuclease Csy4 enables new insights into plant virus transport through plasmodesmata

Plant-infecting viruses spread through their hosts by transporting their infectious genomes through intercellular nano-channels called plasmodesmata. This process is mediated by virus-encoded movement proteins, which bind nucleic acids and target and dilate plasmodesmata. Whilst the sub-cellular localisations of movement proteins have been intensively studied, live-cell RNA imaging systems have so far not been able to detect viral genomes inside the plasmodesmata. Here, we describe a new, highly sensitive RNA live-cell reporter based on an enzymatically inactive form of the small bacterial endonuclease Csy4, which binds to its cognate stem-loop with nanomolar affinity. This system allows imaging of plant viral RNA genomes inside plasmodesmata and shows that Potato virus X RNA remains accessible within the channels and is therefore not fully encapsidated during movement. We also combine Csy4-based RNA-imaging with interspecies movement complementation to show that an unrelated movement protein from Tobacco mosaic virus can recruit Potato virus X replication complexes to plasmodesmata entrances. Therefore, recruitment of replication complexes is mediated non-specifically, likely by indirect coupling of movement proteins and viral replicase via the viral RNA or co-compartmentalisation, potentially contributing to transport specificity. Lastly, we show that a self-tracking virus can express the Csy4-based reporter during the progress of infection. However, expression of the RNA-binding protein in cis interferes with viral movement by an unidentified mechanism when cognate stem-loops are present in the viral RNA.

cell biology↗

Misspellings or miscellings- non-verifiable cell lines in cancer research publications

Reproducible laboratory research relies on correctly identified reagents. We have previously described human gene research papers with wrongly identified nucleotide sequence reagent(s), including papers studying miR-145. Manually verifying reagent identities in more recent miR-145 papers found 20/36 (56%) and 6/36 (17%) miR-145 papers with misidentified nucleotide sequence reagent(s) and human cell line(s), respectively. We also found 5 cell line identifiers in two miR-145 papers with wrongly identified nucleotide sequences and cell lines, and 18 identifiers published elsewhere that did not correspond to indexed cell lines. These cell line identifiers were described as non-verifiable, as their identities appeared uncertain. Studying 420 papers that mentioned 8 different non-verifiable cell line identifier(s) found 235 papers (56%) that appeared to refer to BGC-803, BSG-803, BSG-823, GSE-1, HGC-7901, HGC-803 and/or MGC-823 as independent cell lines. We could not find publications describing how these cell lines were established, and they were not indexed in claimed externally accessible cell line repositories. While some papers stated that STR profiles had been generated for BGC-803, GSE-1 and/or MGC-823 cells, no STR profiles were identified. In summary, non-verifiable human cell lines represent new challenges to research reproducibility and require further investigation to clarify their identities. Novelty and Impact StatementThrough verifying reagent identities in research publications, our team found 23 non-verifiable human cell line identifiers, most of which could represent misspellings of contaminated cancer cell lines. Of 8 identifiers studied in detail, 7 non-verifiable identifiers were unexpectedly referred to as independent cell lines across 235 publications. We therefore describe a process "miscelling", where published cell lines lack descriptions of how they were established, cannot be found in claimed external repositories and lack STR profiles.

cancer biology↗

Providing insight into the mechanism of action of Cationic Lipidated Oligomers (CLOs) using metabolomics

The increasing resistance of clinically relevant microbes against current commercially available antimicrobials underpins the urgent need for alternative and novel treatment strategies. Cationic lipidated oligomers (CLOs) are innovative alternatives to antimicrobial peptides, and have reported antimicrobial potential. An understanding of their antimicrobial mechanism of action is required to rationally design future treatment strategies for CLOs, either in monotherapy or synergistic combinations. In the present study, metabolomics was used to investigate the potential metabolic pathways involved in the mechanisms of antibacterial activity of one CLO, C12-o-(BG-D)-10, which we have previously shown to be effective against methicillin-resistant Staphylococcus aureus (MRSA) ATCC 43300. The metabolomes of MRSA ATCC 43300 at 1, 3 and 6 h following treatment with C12-o-(BG-D)-10 (48 {micro}g/mL i.e., 3x MIC) were compared to those of the untreated controls. Our findings reveal that the studied CLO, C12-o-(BG-D)-10, disorganized the bacterial membrane as the first step towards its antimicrobial effect, as evidenced by marked perturbations in the bacterial membrane lipids and peptidoglycan biosynthesis observed at early time points i.e., 1, and 3 h. Central carbon metabolism, and biosynthesis of DNA, RNA, and arginine were also vigorously perturbed, mainly at early time points. Moreover, bacterial cells were under osmotic and oxidative stress across all time points, evident by perturbations of trehalose biosynthesis and pentose phosphate shunt. Overall, this metabolomics study has, for the first time, revealed that the antimicrobial action of C12-o-(BG-D)-10 may potentially stem from the dysregulation of multiple metabolic pathways. ImportanceAntimicrobial resistance poses a significant challenge to healthcare systems worldwide. Novel anti-infective therapeutics are urgently needed to combat drug-resistant microorganisms. Cationic lipidated oligomers (CLOs) show promise as new antibacterial agents against Gram-positive pathogens like Staphylococcus aureus (MRSA). Understanding their molecular mechanism(s) of antimicrobial action may help design synergistic CLO treatments along with monotherapy. Here, we describe the first metabolomics study to investigate the killing mechanism(s) of CLOs against MRSA. The results of our study indicate that the CLO, C12-o-(BG-D)-10, had a notable impact on the biosynthesis and organization of the bacterial cell envelope. C12-o-(BG-D)-10 also inhibits arginine, histidine, central carbon metabolism, and trehalose production, adding to its antibacterial characteristics. This work illuminates the unique mechanism of action of C12-o-(BG-D)-10 and opens an avenue to design innovative antibacterial oligomers/polymers for future clinical applications.

microbiology↗

Peroxisome-derived hydrogen peroxide can modulate the sulfenylation profiles of key redox signaling proteins

Ever since the first characterization of peroxisomes, a central theme has been their involvement in cellular hydrogen peroxide (H2O2) metabolism. While the reputation of H2O2 drastically changed from an exclusively toxic molecule to a signaling messenger, the regulatory role of peroxisomes in these signaling events is still largely underappreciated. This is mainly because the number of known protein targets of peroxisome-derived H2O2 is rather limited and testing of specific targets is predominantly based on knowledge previously gathered in related fields of research. To gain a broader and more systematic insight into the role of peroxisomes in redox signaling, an unbiased approach is urgently needed. To accomplish this goal, we have combined a previously developed cell system in which peroxisomal H2O2 production can be modulated with a yeast AP-1-like-based sulfenome mining strategy to inventory protein thiol targets of peroxisome-derived H2O2 in different subcellular compartments. Using this unbiased approach, we were able to identify specific and common targets of peroxisome-derived and exogenous H2O2 in peroxisomes, the cytosol, and mitochondria. We also observed that the sulfenylation kinetics profiles of key targets belonging to different protein families can vary considerably. In addition, we obtained compelling but indirect evidence that peroxisome-derived H2O2 may oxidize at least some of its targets through a redox relay mechanism. In conclusion, given that sulfenic acids function as key intermediates in H2O2 signaling, the findings presented in this study provide initial but critical insight into how peroxisomes may be integrated in the cellular H2O2 signaling network. HighlightsO_LIYAP1C-trapping is a robust tool to assess the peroxisomal H2O2-dependent sulfenome C_LIO_LIExogenous and peroxisome-derived H2O2 have both common and distinct targets C_LIO_LIANXA2, PRDX1, and SKP1 are major targets of peroxisome-derived H2O2 C_LIO_LIThe sulfenylation kinetics profiles of key redox-active proteins vary considerably C_LIO_LIProduction of H2O2 inside peroxisomes directly impacts the mitochondrial sulfenome C_LI

cell biology↗

Novel low-avidity glypican-3 specific CARTs resist exhaustion and mediate durable antitumor effects against hepatocellular carcinoma

Chimeric antigen receptor engineered T cells (CARTs) are being developed to treat solid tumors including hepatocellular carcinoma (HCC). However, thus far, CARTs have not been as effective against solid tumors as compared to blood cancers. A main reason is that, once infiltrating into a solid tumor mass, CARTs are surrounded and chronically stimulated by persistent target antigens, which may drive them to exhaustion. We hypothesize that, due to weak engagement, low-avidity CARTs will resist the antigen-driven exhaustion and apoptosis and maintain effector functions in solid tumors, generating durable antitumor effects. To test this idea, we developed a novel human glypican-3 (hGPC3) specific antibody (8F8) that binds an epitope close to that of GC33 (the frequently used high-affinity antibody), but with ~17 folds lower affinity. In vitro, the low-avidity 8F8 CART killed tumor cells and produced effector cytokines to the same extent as high-avidity GC33 CART. Remarkably, however, 8F8 CART expanded and persisted to a greater extent than GC33 CART in vivo, resulting in durable responses against HCC xenografts. Compared to GC33 CARTs, there were significantly more (5 times) 8F8-BBz CART detected in the tumor mass. Importantly, the tumor infiltrating 8F8 CARTs were less apoptotic and more resistant to exhaustion, revealed by their enhanced and durable effector functions overtime. We predict that this novel low-avidity 8F8-BBz CART has a greater potential than mainstream high-avidity CARTs in effectively treating patients with HCC or other hGPC3+ solid tumors.

immunology↗

Circadian timing-dependent myoblast differentiation and muscle regeneration

Circadian rhythms regulate cell proliferation and differentiation but circadian control of tissue regeneration remains elusive at the molecular level. Here, we show that proper myoblast differentiation and muscle regeneration are regulated by the circadian master regulators Per1 and Per2. Depletion of Per1 or Per2 suppressed myoblast differentiation in vitro and muscle regeneration in vivo, demonstrating their non-redundant functions. Both Per1 and Per2 were required for the activation of Igf2, an autocrine promoter of myoblast differentiation, accompanied by Per-dependent recruitment of RNA polymerase II, dynamic histone modifications at the Igf2 promoter and enhancer, and the promoter-enhancer interaction. This circadian epigenetic priming created a preferred time window for initiating myoblast differentiation. Consistently, muscle regeneration was faster if initiated at night when Per1, Per2, and Igf2 were highly expressed compared with morning. This study reveals the circadian timing as a significant factor for effective muscle cell differentiation and regeneration. eTOC SummaryKatoku-Kikyo et al. show that the circadian master regulators Per1 and Per2 control the efficiency of myoblast differentiation via Igf2 activation. This pathway creates a preferred circadian time window for myoblast differentiation in vitro and muscle regeneration in vivo.

developmental biology↗