Biology subjects

Singh, S.

Publications and source records attributed to Singh, S..

At least 145 records · Page 8Linked to original sources

bioRxiv2025

Carbohydrates and the oxidative branch of the pentose phosphate pathway modify Bacteroides thetaiotaomicron phage resistance by phase variable S-layers

The human gut microbiota consists of hundreds of bacterial species, some of which persist in the presence of lytic phage that infect them. Bacteroides employ numerous phase-variable strategies to survive in the presence of phage, including capsular polysaccharides (CPS) and S-layer lipoproteins. We previously reported that a Bacteroides thetaiotaomicron strain lacking CPS exhibits almost complete resistance to multiple phages when forced to express the S-layer protein BT1927. However, this strain was only resistant after certain growth conditions, suggesting nutritional variables alter infection and resistance. We grew this strain on various simple sugars and polysaccharides finding that some substrates (fructose, glucose) promote strong resistance to a single phage (ARB25) while others like N-acetylgalactosamine (GalNAC) and mucin O-glycans increase susceptibility. Mixing fructose and GalNAc indicates the effects of GalNAc are dominant. Despite increasing ARB25 susceptibility, GalNAc did not reduce BT1927 transcript or protein levels. Instead, GalNAc reduced the amount of BT1927 displayed on the cell surface and increased outer membrane vesiculation. Mutants in any of the 3 steps of the oxidative branch of the pentose phosphate pathway--grown in fructose--behaved similarly to wild-type cells grown in GalNAc, illuminating this pathway in regulation of sugar-mediated phage-resistance. Despite promoting strong resistance, cells grown in glucose/fructose sometimes displayed sub-populations that appeared to completely lack surface BT1927, suggesting another checkpoint exists to control whether this phage defense is deployed. Finally, we show the mucin sugar GalNAc increases susceptibility to several other phage, which has implications for B. thetaiotaiomicron persistence in niches like the mucus layer. ImportanceThe persistence of viruses that infect bacteria (bacteriophages or phages) in the human gut microbiome and their effects on bacterial physiology and host health are active areas of investigation. Our study investigates how various sugars and polysaccharides alter phage susceptibility and resistance in the model gut symbiont Bacteroides thetaiotaomicron to lytic phages that are capable of infecting it. Our finding that the mucin sugar, N-acetylgalactosamine, and mucin O-glycans that contain this sugar reduce B. thetaiotaomicron resistance to multiple phages has implications for how this symbiont persists in different gut microhabitats, such as the mucus layer, and which defense mechanisms it can deploy to survive in these niches.

microbiology↗

bioRxiv2025

Integrated single cell spatial multi-omics landscape of WHO grades 2-4 diffuse gliomas identifies locoregional metabolomic regulators of glioma growth

Diffuse infiltrating gliomas are aggressive tumors of the central nervous system driven by intra-tumoral heterogeneity and aberrant normal-tumor cell-cell interactions. Grade specific and locoregional metabolic dependencies driving aberrant cell-states linked to treatment resistance, seizures and infiltration of gliomas remain elusive. Here, we applied spatial transcriptomics (stRNAseq), imaging mass cytometry (IMC) and mass spectrometry imaging (MSI; metabolites, peptides and glycans) to the core and edge tumor tissue from patients with World Health Organization (WHO) grades 2-4 diffuse infiltrating gliomas including isocitrate dehydrogenase (IDH) mutant oligodendrogliomas (WHO Grades 2 and 3) and IDH wildtype astrocytomas including anaplastic astrocytoma (prior 2016 WHO histological grade 3) and glioblastoma (GBM, WHO grade 4) stRNAseq identified regions-specific differentially expressed genes with significant overall survival implications particularly in IDH wildtype GBM. Integration of stRNA seq and MSI-derived metabolite expression demonstrated enrichment of L-glutamine in SOX4+ Neural progenitor-like (NPC-like) cells and DL-dopamine in GPNMB+ Mesenchymal-like (MES-like) GBM cells at the tumor edge relative to the core. Our results uncover clinically relevant and locoregional cell state-specific metabolites that may contribute to GBM proliferation, infiltration and seizures. This comprehensive pan-diffuse infiltrating glioma multi-omics study could serve as a resource for uncovering region-specific metabolic vulnerabilities encompassing metabolites, glycans and peptides within transcriptionally defined cell states across WHO 2-4 diffuse glioma.

cancer biology↗

bioRxiv2025

Phenotypic and Functional Characterization of Oncohistone Mutations in Breast Cancers

Although mutations in genes encoding histones display a similar prevalence to that of some other somatic mutations in cancer, the underlying mechanisms by which histone mutations drive tumorigenesis have not been fully explored. Herein, we curated missense mutations occurring in core histone genes in breast cancers using data from MSK-IMPACT and cBioPortal to identify high frequency breast cancer-associated histone gene mutations. We characterized 17 high frequency oncohistone mutations in H2A H2B, and H3 that are enriched in breast cancer samples and occurred at glutamate (E), aspartate (D), serine (S), and arginine (R) residues. Many of these mutants co-occur with PIK3CA mutations in breast cancer samples. The oncohistone mutants were expressed in MCF-7 breast cancer cells or MCF-10A mammary epithelial cells and screened for effects on oncogenic phenotypes in a variety of cell- and tumor-based assays (i.e., proliferation, migration, invasion, competitive outgrowth, transformation). In addition, we examined the effects of selected mutants on DNA damage and gene expression. Our results indicate that the collection of oncohistone mutants that we screened have varying phenotypic and functional effects. Some can promote cancer-related phenotypes, with H2B-E76Q, H3-E97K, and H3-E105K eliciting strong oncogenic phenotypes and alterations in gene expression. All three of these mutants showed cooperativity with an activating mutation in PIK3CA (E545K), or a chemical activator of PI3K (UCL-TRO-1938), in assays of MCF-10A proliferation. H3-E105K also strongly promoted transformation of MCF-10A cells in an assay of growth on low attachment substrate independently of PIK3CA. Our results indicate that some high frequency oncohistone mutants can have oncogenic activity in breast cancers, and may act as potential cancer drivers. Collectively, these observations presented here can be used as a resource to connect biological and molecular outcomes to oncohistones in breast cancers. SignificanceIn this study, we identified and characterized 17 high frequency oncohistone mutations in H2A H2B, and H3 that are enriched in breast cancer samples and promote cancer-related phenotypes when expressed in cells. Many of these oncohistone mutations co-occur in breast cancer samples with mutations in PIK3CA, the most frequently mutated gene in breast cancer, and may act as potential cancer drivers.

cancer biology↗

bioRxiv2025

LipidCruncher: An open-source web application for processing, visualizing, and analyzing lipidomic data

BackgroundAdvances in mass spectrometry (MS)-based lipidomics have led to a significant surge in data volume, underscoring a need for robust tools to efficiently evaluate and visualize these expansive datasets. While numerous software tools have been developed, current workflows are hindered by manual spreadsheet handling and insufficient data quality assessment prior to analysis. Here, we introduce LipidCruncher, an open-source, web-based platform designed to easily process, visualize, and analyze lipidomic data with high efficiency and rigor. ResultsLipidCruncher consolidates key steps of the lipidomics analysis workflow, including data standardization, normalization, and stringent quality controls. The platform also provides advanced visualization and analysis tools that are tailored to interrogate lipidomic data and enable detailed and holistic data exploration. To illustrate LipidCrunchers utility, we analyzed lipidomic data from adipose tissue of mice lacking the triacylglycerol synthesis enzymes DGAT1 and DGAT2. ConclusionsLipidCruncher fills a specific gap in the lipidomics analysis ecosystem by providing an integrated, quality-focused platform that accepts data from multiple sources and complements existing specialized tools. By bridging the critical divide between data generation and biological interpretation, LipidCruncher facilitates rigorous lipidomics analyses to accelerate the translation of complex lipid profiles into biological insights.

bioinformatics↗

bioRxiv2025

Small molecule bioactivity benchmarks are often well-predicted by counting cells

Phenotypic profiling methods, such as Cell Painting and gene expression, have been widely used to predict compound bioactivity, often showing improvement over predictive models based on chemical structures alone. We discovered that a large subset of assays in widely-used benchmark datasets either directly relate to cell health and cytotoxicity or are assays intending to capture a more specific phenotype but whose active compounds impact cell count, while inactives do not. As a result, counting cells can achieve similar predictive performance as Cell Painting or gene expression data. Filtering benchmarks to include only assays relating to protein targets reveals that Cell Painting can capture information that cannot be predicted by mere cell counting. We re-evaluated three benchmark datasets used with Cell Painting data and observed that, in many cases, cell count models produced an AUC comparable to models using the full Cell Painting profiles. However, in protein-target-specific benchmarks across 17 distinct protein targets, Cell Painting features demonstrated unique predictive power, outperforming mean balanced accuracy from cell count models with a relative improvement of 19.6%. We propose five practical recommendations for benchmarking machine learning models for predicting bioactivity, including using cell count as a baseline feature. Although multi-class classification applications (such as matching samples based on their morphological profile) are less likely to be predictable by cell count than bioactivity benchmarks, these recommendations are broadly applicable to machine learning for drug discovery.

bioinformatics↗

bioRxiv2025

Immunogenicity and Structural Features of a Stabilized Clade-C HIV-1 Env Derived from a Pediatric Elite-neutralizer

The envelope (Env) glycoprotein derived from circulating viruses in elite-neutralizers (who naturally develop broadly neutralizing antibodies (bNAbs)), serves as potential template for HIV-1 vaccine design. Herein, we report the structure and immunogenicity of soluble clade-C HIV-1 Env trimer (330) derived from a pediatric elite-neutralizer (AIIMS_330). Using SOSIP, NFL and ferritin-nanoparticle (NP) platforms, we engineered immunogens that preserved native-like Env conformation, exhibited high thermostability and nanomolar affinity for diverse bNAbs, with minimal reactivity to non-neutralizing antibodies. Cryo-EM structure solved at 5 [A] resolution of 330-SOSIP trimer-autologous bNAb 44m complex revealed interactions at GDIR motif, N332 supersite along with additional contacts at E293, K337, K446 and glycans N326, N442, N448, as compared to our previously reported BG505-44m structure. Rabbit immunizations with soluble and NP-displayed formats elicited autologous, and heterologous neutralization of tier-1 clade-C viruses. Herein we define a structurally resolved HIV-1 clade C Env that supports multivalent vaccine strategies and provides mechanistic insights toward rational HIV-1 immunogen design.

immunology↗

bioRxiv2025

Modulating populational variance of methyl-guanine methyl transferase expression through miR-181d degradation: a novel mechanism of temozolomide resistance

Intratumoral heterogeneity plays a pivotal role in cancer evolution, providing the substrate for adaptation to selective pressures, including treatment with chemotherapy. Here, we show that micro-RNA regulation of variance in the expression of the DNA repair protein methyl-guanine methyl transferase (MGMT) contributes to this heterogeneity and acquired therapeutic resistance. In cell lines derived from glioblastomas, the most common form of primary brain tumor, treatment with standard-of-care temozolomide chemotherapy triggers a feed-forward loop between polyribonucleotide nucleotidyltransferase 1 (PNPT1) and miR-181d, an MGMT regulating miRNA, expediting miR-181d degradation. This degradation requires the activation of Ataxia Telangiectasia and Rad3-related (ATR) kinase. The degradation of miR-181d in glioblastoma cells increased both the mean and the variance of MGMT expression in the cell population. Subclone reconstituted cell populations with similar populational mean MGMT levels but with differences in the variance of MGMT expression exhibited differential temozolomide sensitivity, with the higher MGMT variance population showing increased resistance. This resistance is suppressed by exogenously transfected miR-181d. These findings suggest a key role for miRNA in regulating intra-tumoral heterogeneity through modulation of key DNA repair enzymes and provide a compelling rationale for miRNA delivery as a platform for glioblastoma therapy. Significance StatementThis study demonstrates a mechanistic link between a feed-forward loop mediating microRNA degradation and cell-to-cell variance in gene expression, and the contribution of this mechanism to intratumoral heterogeneity and therapeutic resistance. We show that when glioblastoma, the most common form of adult primary brain tumor, is treated with standard-of-care chemotherapy, temozolomide, a feed-forward loop between miR-181d and PNPT1 is initiated, causing rapid degradation of miR-181d. This degradation increases the cell-to-cell variability in methyl-guanine methyl transferase (MGMT) expression, expanding intra-tumoral heterogeneity and contributing to acquired temozolomide resistance. This process can be suppressed by therapeutic delivery of microRNA, providing compelling considerations for clinical translation.

cancer biology↗

bioRxiv2025

Plasma lipidome dysregulation in frontotemporal dementia reveals shared, genotype-specific, and severity-linked alterations

Developing new treatment strategies for frontotemporal dementia (FTD) and other forms of neurodegeneration requires biomarkers to monitor disease progression. Dysregulated brain lipid metabolism, particularly sphingolipids enriched in the nervous system, is a key feature of neurodegeneration. However, plasma lipids have been investigated less for their potential as biomarkers than brain imaging and serum proteins. Here we examined the plasma lipidomes of a cohort of heterozygous carriers of gene variants associated with autosomal dominant familial FTD (including GRN, C9orf72, and MAPT loci), comparing them with aged-matched controls. In general, FTD subjects exhibited increases in plasma levels of specific species of gangliosides (GM3(d18:1_16:0), GM3(d18:1_18:0), and GM3(d18:1_24:1)) and ceramide (Cer(d18:1_23:0)) and selected polyunsaturated triacylglycerols (TG). Other species of ceramides (Cer(d18:0_22:0)), phosphatidylethanolamine (PE(18:0_24:0)), and sphingomyelin (SM(38:0)) were reduced in plasma of FTD subjects. Levels of glucosylsphingosine (GlcSph(d18:1)) were elevated specifically in GRN carriers, SM(34:1) was reduced in C9orf72 carriers, and TG(16:0_18:1_20:3)) were decreased in MAPT variant carriers. Notably, the ganglioside GM3(d18:1_16:0) was consistently elevated across all FTD genetic subtypes. Furthermore, the levels of these lipids correlated with disease severity in FTD patients. Our findings suggest that specific plasma lipid changes, notably several sphingolipids, may be useful biomarkers for FTD disease or progression.

systems biology↗

bioRxiv2025

M6A reader protein YTHDF3 regulates cardiomyocyte death and atrophy by modulating the alternative splicing program

BackgroundThe functional impact of m6A modifications on RNA is governed by reader proteins that read the m6A marks and process the RNA accordingly. Recent studies have highlighted the importance of m6A reader proteins in the heart. However, the function of a reader protein Ythdf3 in the heart remains completely unknown. ObjectiveWe aim to uncover the function of Ythdf3 in the hearts. Methods& ResultsHere, we show that Ythdf3 is indispensable for the heart, and its knockdown leads to cardiac cachexia evident by cardiomyocyte atrophy, death, and less dense myofibrils visualized by electron microscopy. We also found downregulation of Ythdf3 in response to doxorubicin, and its overexpression rescues doxorubicin-induced cardiomyocyte atrophy and death. Contrary to primarily cytoplasmic localization, we found that Ythdf3 localizes in the cardiomyocyte nucleus. Furthermore, using co-immunoprecipitation coupled with LC-MS/MS, we show that Ythdf3 interacts with splicing proteins like DDX5 and HNRNPU and regulates alternative splicing in the heart. Mechanistically, we found that Ythdf3 regulates the splicing of CaMKII{delta}, and its knockdown leads to an increase in CaMKII{delta}A and CaMKII{delta}C isoforms while a decrease in CaMKII{delta}9 isoform. ConclusionCollectively, Ythdf3 knockdown in the adult heart leads to cardiac cachexia due to the alteration of the splicing program.

cell biology↗

bioRxiv2025

HPV16 neutralizing monoclonal antibodies show evidence for common developmental pathways and public epitopes

Antibodies to human papillomavirus (HPV) primarily recognize surface exposed residues on five loops of the major capsid protein (L1) that vary significantly among HPV types. We determined which loops were required for neutralization for 70 HPV16 specific human monoclonal antibodies (mAbs) cloned from participants who received an HPV vaccine, and we describe molecular features of those antibodies. Chimeric HPV16 pseudovirus (cpsV), each having one surface loop bearing multiple amino acid substitutions, were used to determine neutralization specificity. The HPV16-FG-loop was the loop most frequently required for neutralization (44 of 70, 62.9%), however, all other surface loops were used for neutralization by multiple mAbs: HI (13, 18.6%), DE (15, 21.4%), EF (six, 8.6%), BC (four, 5.7%). Antibodies that required multiple loops were common (17, 24.3%). Three mAbs (4.3%) required sequences on the c-terminus of L1 and for another three mAbs the neutralization specificity could not be determined. Two types of mAbs appeared to be overrepresented: ten mAbs used VH 2-70 IGHV paired with VL {lambda}1-40, having characteristic mutations in complementarity determining region two (CDRL2). Cryogenic electron microscopy (Cryo-EM) revealed that two of these antibodies bound five Fabs per pentamer interacting with all five L1-surface loops. The other type of mAbs that appeared to be overrepresented were ten mAbs using VH 4-34, seven of which also used DH3-16*02 with conserved CDRH3 sequences. Cryo-EM for one of these mAbs, that required the FG-loop for neutralization, was shown to bind one Fab per pentamer at the apex, interacting with the DE- and FG-loops, with sequences of the Fab CDRH3 inserted between the DE- and FG-loops from two protomers. These two types of mAbs were found repeatedly in the four participants suggesting that these antibodies shared developmental pathways and bound to similar immunodominant epitopes on the virus. HighlightsMost human mAbs recognized L1 surface loops but three of 70 recognized sequences on the C-terminal arm of L1 Some antibodies induced by HPV vaccination follow shared developmental pathways. Human monoclonal antibodies using VH 2-70/VL {lambda}1-40 were found in all participants and bound with at a stoichiometry of five Fabs per capsomer. Human monoclonal antibodies using the diversity gene segment D3-16*02 were found in all participants and one Fab was shown to bind with a stoichiometry of one Fab per capsomer. In briefA panel of 70 HPV16 specific human monoclonal antibodies (mAbs), cloned from memory B cells or plasmablasts following HPV vaccination, was characterized by determining the surface loops of the major capsid protein (L1) required for neutralization and examined for shared molecular features. All five L1 loops were found to be used for neutralization by one or more antibodies, but the most frequent target of these antibodies was the FG loop followed by the HI and DE loops. Ten antibodies paired the heavy chain variable gene VH 2-70 with the light chain variable gene VL {lambda}1-40 and these antibodies had conserved mutations in the CDRL2 region of VL {lambda}1-40. Mutating the CDRL2 back to the predicted germline sequence significantly reduced neutralization. Cryo-EM analysis of two VH2-70/VL{lambda}1-40 mAbs showed five Fabs binding per L1 pentamer and a conserved epitope with Fabs interacting with all five variable loops across two adjacent protomers. Seven other mAbs had a heavy chain composed of the variable region VH4-34 with the diversity gene D3-16*02 resulting in the sequence motif WSGYR in the CDRH3. Mutation of that sequence to alanine ablated HPV16 neutralization activity. A cryo-EM structure of one of these antibodies showed one Fab binding the pentamer apex with the WSGYR motif inserting between three loops from two protomers. Antibodies with paired VH 2-70/VL {lambda}1-40 and the antibodies with CDRH3 containing the WSGYR sequence, were found in all four study participants suggesting that such antibodies may be commonly elicited following HPV vaccination.

immunology↗

bioRxiv2025

Morphological features of the domestic house cricket (Acheta domesticus) for translational aging studies

Aging alters morphology and locomotor function in diverse organisms, yet standardized model systems for studying these changes remain limited to a relatively few species. Here, we present a comprehensive analysis of age- and sex-dependent morphological variations in house crickets (Acheta domesticus), integrating refined husbandry protocols to enhance reproducibility and translational relevance. We observed progressive increases in body weight, length, and appendage dimensions with age, with pronounced sexual dimorphism emerging post-maturity. Structural adaptations, including increased femoral volume and cross-sectional area, suggest compensatory mechanisms for age-related declines in muscle efficiency, while reduced hind leg-to-body length ratios indicate potential biomechanical constraints on locomotion. Antennal growth patterns highlight prolonged sensory investment, potentially offsetting declining mobility in aging individuals. To ensure data consistency, we implemented a standardized husbandry framework incorporating self-determined photoperiods, co-housing both sexes, and controlled diet and hydration strategies. Our results underscore the necessity of harmonizing environmental conditions in gerontological research, as variations in lighting, substrate availability, and microbiome exposure may significantly impact physiological resilience and behavioral fidelity. Future work should explore the influence of microbiome diversity on lifespan and stress resilience while refining methodologies for cricket rearing from egg to adulthood. By bridging invertebrate and vertebrate aging research, this study positions house crickets as a scalable, high-throughput model for investigating age-related functional decline, behavioral plasticity, and lifespan-extending interventions. Integrating behavioral assays, biomechanical analyses, and molecular markers of aging will further elucidate the interplay between morphology, function, and longevity, advancing the utility of crickets in comparative geroscience.

animal behavior and cognition↗

bioRxiv2025

Gluconeogenesis plays a critical role in mycobacterial biofilm formation

Gluconeogenesis is an important pathway for bacteria and humans as it maintains the glucose levels in the system. These glucose molecules can be utilized as substrates for several cellular functions. Gluconeogenesis genes are important for the intracellular survival and pathogenicity of Mycobacterium tuberculosis (Mtb). A few reports have shown the role of gluconeogenesis in biofilm formation in other bacteria. Similarly, we utilized gluconeogenesis genes and explored their role in biofilm formation in Mtb. For this study, we have taken the pyruvate carboxylase (pca) gene, which catalyzes the conversion of pyruvate into oxaloacetate and diverts the carbon flux into the gluconeogenesis pathway. We observed that the transposon mutant of pca was deficient in pellicle and submerged biofilm formation and was defective in colony morphology. This phenomenon was recovered upon either gene complementation or external addition of glucose into the medium. In addition to glucose, we also observed the regaining of biofilm phenomenon in the case of pyruvate supplementation. These observations led us to hypothesize that the glucose molecules generated from the gluconeogenesis pathway can be utilized to generate carbohydrates or polysaccharides, such as cellulose, which can be integrated into the extracellular polymeric substances of the biofilm matrix. Cellulose, whose primary subunit is glucose, can be synthesized from these generated glucose molecules, thereby integrating into the biofilm matrix of mycobacteria. This study provides a novel mechanism of cellulose production through a non-canonical pathway in Mtb, which is important in the biofilm formation of this pathogenic bacterium.

microbiology↗

bioRxiv2025

Monocyte control of organismal energy homeostasis

Multicellular organisms rely on inter-organ communication networks to maintain vital parameters within a dynamic physiological range. Macrophages are central to this homeostatic control system, sensing deviations of those parameters and responding accordingly to support tissue function and organismal homeostasis. Here we demonstrate that dysregulation of iron metabolism in parenchyma cells, imposed by the deletion of ferritin H chain, is sensed by monocyte-derived macrophages. In response, macrophages derived from circulating monocytes support tissue function, energy metabolism and thermoregulation, as demonstrated in bone marrow chimeric and parabiotic mice. This salutary effect is contingent on a transcriptional program, controlled in macrophages by the transcription factor A mitochondria. This transcriptional response acts in a non-cell autonomous manner to support the mitochondria of parenchyma cells, irrespectively of mitochondrial transfer. In conclusion, monocyte-derived macrophages cross-regulate Fe and energy metabolism to support tissue function and organismal homeostasis.

immunology↗

bioRxiv2025

HIV-Induced Sialoglycans on Infected Cells Promote Immune Evasion from Myeloid Cell-Mediated Killing

Sialic acid-containing glycans (sialoglycans) on pathological cells interact with Siglecs, glyco-immune checkpoint receptors expressed on myeloid cells such as monocytes and neutrophils. This interaction suppresses the cytotoxic functions of these immune cells. We show that HIV infection reprograms the glycosylation machinery of infected cells to increase the expression of specific sialoglycan ligands for Siglecs-3, -7, and -9. These ligands engage Siglecs on myeloid cells, impairing their ability to target HIV-infected cells. Selective disruption of these interactions using 10-1074-Sia, an HIV-specific antibody conjugated to sialidase--an enzyme that removes sialic acids--significantly enhances monocyte- and neutrophil-mediated killing of HIV-infected cells in autologous assays. Treatment with 10-1074-Sia in humanized mice infected with HIV reduces viral load and decreases inflammation. These findings reveal a novel immune evasion mechanism exploited by HIV to evade myeloid cell immune surveillance and highlight the potential of targeting sialoglycan-Siglec interactions to improve immune clearance of HIV-infected cells.

immunology↗

bioRxiv2025

Alternate dyes for image-based profiling assays

BackgroundCell Painting, the leading image-based profiling assay, involves staining plated cells with six dyes that mark the different compartments in a cell. Such profiles can then be used to discover connections between samples (whether different cell lines, different genetic treatments, or different compound treatments) as well as to assess particular features impacted by each treatment. Researchers may wish to vary the standard dye panel to assess particular phenotypes, or image cells live while maintaining the ability to cluster profiles overall. MethodsIn this study, we evaluate the performance of dyes that can either replace or augment the traditional Cell Painting dyes or enable tracking live cell dynamics. We perturbed U2OS cells with 90 different compounds and subsequently stained them with either standard Cell Painting dyes (Revvity), or with MitoBrilliant (Tocris) replacing MitoTracker or Phenovue phalloidin 400LS (Revvity) replacing phalloidin. We also tested the live-cell compatible ChromaLive dye (Saguaro). ResultsAll dye sets effectively separated biological replicates of the same sample vs. negative controls (phenotypic activity), although separating from replicates of all other compounds (phenotypic distinctiveness) proved challenging for all dye sets. While individual dye substitutions within the standard Cell Painting panel had minimal impact on assay performance, the live cell dye exhibited distinct performance profiles across different compound classes compared to the standard panel, with later time points more distinct than earlier ones. DiscussionSubstituting MitoBrilliant or Phenovue phalloidin 400LS for standard mitochondrial or actin dyes minimally impacted Cell Painting assay performance. Phenovue phalloidin 400LS offers the advantage of isolating actin features from Golgi or plasma membrane while accommodating an additional 568nm dye. Live cell imaging, enabled by ChromaLive dye, provides real-time assessment of compound-induced morphological changes. Combining this with the standard Cell Painting assay significantly expands the feature space for enhanced cellular profiling. Our findings provide data-driven options for researchers selecting dye sets for image-based profiling.

cell biology↗

bioRxiv2025

Autism-associated ASPM variant causes macrocephaly and social-cognitive deficits in mice

In autism spectrum disorder (ASD), a neurodevelopmental disorder with social-cognitive deficits, macrocephaly occurs in 20% of patients with severe symptoms. However, the role of macrocephaly in ASD pathogenesis remains unclear. Here, we address the mechanistic link between macrocephaly and ASD by investigating a novel ASD-associated gain-of-function A1877T mutation in ASPM (abnormal spindle-like microcephaly-associated). ASPM is a key regulator of cortical size and cell proliferation expressed in both excitatory and inhibitory neuronal progenitors but not in differentiated neurons. We found that Aspm gain-of-function knock-in mice exhibit macrocephaly, excessive embryonic neurogenesis with expanded outer radial glia, an increased excitatory-inhibitory (E-I) ratio, brain hyperconnectivity, and social-cognitive deficits with male specificity. Our results suggest that macrocephaly in ASD is not a proportional expansion of excitatory and inhibitory neurons, but a shift in the E-I ratio, independent of the expression patterns of the causative gene. Thus, macrocephaly alone can cause a subset of ASD-like symptoms.

neuroscience↗

bioRxiv2025

Candida auris skin colonization is mediated by Als4112 and interactions with host extracellular matrix proteins

Candida auris is an often multidrug-resistant fungal pathogen notorious for persistent skin colonization and transmission in healthcare settings. However, the mechanisms driving its adherence to skin remain poorly understood. Here, we developed in vitro systems to allow for detailed analysis of early skin colonization events and identified critical host and pathogen mediators of attachment. Across multiple strains and clades of C. auris, we identified that Als4112, a conserved adhesin, is required for skin colonization via keratinocyte attachment and direct interactions with host extracellular matrix (ECM) proteins, especially basement membrane proteins such as laminin. In a murine epicutaneous infection and human skin explants, deletion of ALS4112 significantly reduced skin colonization, underscoring its essential role in establishing cutaneous persistence. Als4112 also contributes to systemic infection, highlighting the connection between adherence and pathogenicity in this organism. Finally, coating plastic and catheter surfaces with collagen I or III markedly inhibited C. auris attachment and biofilm formation, offering an approach to curb nosocomial transmission. Our study highlights the critical role of Als4112 in C. auris colonization and virulence in vivo, making it an attractive target for future vaccine development. This study also explores the potential of specific collagen coatings as a novel strategy to prevent C. auris adherence to abiotic surfaces, offering new therapeutic avenues to control the spread of C. auris in healthcare settings.

microbiology↗

bioRxiv2025

A bioinformatic workflow to facilitate the study of less-understood proteins: the case of SH2D2A

Adaptor proteins are key regulators of immune signalling but are challenging to study due to redundant pathways that obscure clear functional "anchor" phenotypes. Making use of public single-cell RNA sequencing (scRNA-seq) datasets, we theorised that anchors could be identified by working in the reverse direction: starting from the transcriptomic level and working "bottom-up" to identify anchoring phenomena at the cell surface. We have produced a prototype workflow for this method using the case of the lymphocyte-enriched adaptor protein SH2D2A, whose function remains uncertain. Using our bottom-up analysis, we have identified a link between SH2D2A and T cell-T cell (T-T) synapses enriched for ITGB2. The functional implications of this link are currently being explored, but further application of this bioinformatic approach to less-understood proteins may prove useful in understanding the minutiae of immune cell signalling, with implications for immunotherapy.

molecular biology↗