Biology subjects

Khan, H. A.

Publications and source records attributed to Khan, H. A..

11 recordsLinked to original sources

bioRxiv2026

Structure-Informed Stress-Testing of the Standard Numbering Scheme for Class B β-Lactamases Using AlphaFold2

The standard numbering scheme for class B beta-lactamases (metallo-beta-lactamases, MBLs), the BBL scheme, was proposed by Galleni et al. in 2001 and updated by Garau et al. in 2004 from the small number of MBL structures then solved. Hundreds of additional class B sequences have since been catalogued, but most have never been structurally solved, so whether BBL correspondences hold across this larger diversity has not been directly tested. Following the precedent set for the sibling class D enzymes, we used ColabFold (AlphaFold2/MMseqs2) to model 87 class B families across subclasses B1, B2, and B3 lacking an experimental structure, after validating the pipeline against an eight-enzyme benchmark spanning all three subclasses (RMSD to experimental structures 0.35-0.46 A). Applying BBL zinc-ligand numbering to the 87 models via paired sequence- and structure-based residue-transfer methods, the canonical zinc-coordination motif transferred cleanly in the large majority of families, and 11 of the 16 sequence-level exceptions were accounted for by a literature-supported biological cause (a subclass-appropriate substitution or a previously proposed, unconfirmed fourth subgroup), while two motif-retaining families showed predicted local structural divergence at the active-site loop, flagged by structural superposition, that could not be resolved to exact zinc-ligand numbering and warrants direct experimental follow-up. These results show that the BBL scheme, formulated before metagenomic sequencing or deep-learning structure prediction existed, generalizes robustly into the structural space these technologies have since opened, and identify a small set of variants whose active sites merit experimental attention.

microbiology↗

bioRxiv2026

Interpretable decoding of cell fate from a snapshot of combinatorial signaling

How combinatorial cell signaling controls cellular decisions in the face of crosstalk is a fundamental problem in biology. A key open question is whether a single snapshot of signaling is sufficient to predict cell fate, especially given substantial evidence that signaling dynamics shape fate decisions. Here, we show that a snapshot of combinatorial signaling accurately predicts cell fate at the single-cell level in a model for human embryonic patterning. To this end, we developed Sig2Fate, a quantitative method integrating iterative immunofluorescence, information theory, and machine learning. Cell fate is encoded by combinatorial yet redundant signaling that reduces to a single angular coordinate in the high-dimensional signaling space, providing a simple interpretation of the signal-to-fate map. This map generalizes across variations in BMP concentration and pharmacological perturbations of ERK, Wnt, and YAP signaling, enabling prediction of drug responses from control data alone when signaling crosstalk is accounted for. Our findings provide a framework for predicting and explaining complex phenotypes from signaling perturbations across biological systems.

developmental biology↗

bioRxiv2025

CitriBEiTNet: A Hybrid CNN-Transformer Architecture Combining MobileNetV2 with BEiT's Global Attention for Automated Citrus Leaf Disease Diagnosis

Citrus farming plays an essential role in agriculture; however, diseases like canker, greening, black spot, and melanose significantly reduce yield and fruit quality. Efficient classification of citrus leaf diseases is important for crop health maintenance and optimal crop yield. Traditional methods for leaf disease detection are slow, labor-intensive, and often inaccurate, which highlights the need for automated solutions. This research presents a novel hybrid approach for identifying citrus diseases by combining a vision transformer with deep learning architectures. Using Bidirectional Encoder Representation from Image Transformers (BEIT) and MobileNetV2 as feature extractors, the proposed model captures distinctive features from images, which are then classified using Support Vector Machine (SVM). The dataset includes four different disease categories and a healthy class. Data augmentation techniques are applied to improve model robustness. The experimental findings demonstrate that CitriBEiTNet achieves a remarkable training accuracy of 99.82% and a testing accuracy of 99.57%, outperforming current leading techniques. This model provides an efficient, scalable, and economical approach for early disease identification, enabling farmers to take preventive measures and improve agricultural yields.

bioengineering↗

bioRxiv2023

Human complement Factor H and Properdin act as soluble pattern recognition receptors and differentially modulate SARS-CoV-2 Infection

Severe cases of SARS-CoV-2 infection are characterised by an imbalanced immune response, excessive inflammation, and the development of acute respiratory distress syndrome, which can lead to multiorgan failure and death. Several studies have demonstrated dysregulated complement activity as an indicator of immunopathogenesis in the SARS-CoV-2 infection. Notably, the complement alternative pathway has been implicated in driving the excessive inflammation during severe SARS-CoV-2 infection. Reduced levels of factor H (FH), a down-regulator of the alternative pathway, and increased levels of properdin (Factor P/FP), the only known up-regulator of the alternative pathway, have been observed in individuals with severe COVID-19 infection. The present study investigated the complement activation-independent, and a more direct role of FH and FP against SARS-CoV-2 infection. Using direct ELISA, the interactions of FH and FP with the SARS-CoV-2 spike (S) and receptor binding domain (RBD) were assessed. Using S protein expressing lentiviral pseudotypes, the cell binding and luciferase-based virus entry assays were employed to assess the potential modulatory effects of FH, FP, and recombinant thrombospondin repeats 4 and 5 (TSR4+5) on SARS-CoV-2 cell entry. We also evaluated the immunomodulatory functions of FH and FP in the cytokine response triggered by SARS-CoV-2 pseudotypes via RT-qPCR. SARS-CoV-2 S and RBD proteins were found to bind both FH and FP. Treatment of A549 cells expressing human ACE2 and TMPRSS2 with FP or TSR4+5 resulted in increased cell entry and binding of SARS-CoV-2 pseudotypes. In silico studies revealed that FP increases affinity between SARS-CoV-2 and host ACE2. The impact of FP on viral cell entry and binding was reversed by anti-FP antibody treatment in A549-hACE2+TMPRSS2 cells. However, FH treatment reduced the cell entry and binding of SARS-CoV-2 lentiviral pseudotypes. Furthermore, the A549-hACE2+TMPRSS2 cells challenged with SARS-CoV-2 spike, envelope, nucleoprotein, and membrane protein expressing alphaviral pseudotypes pre-treated with FP or TSR4+5, exhibited upregulation of the transcripts of pro-inflammatory cytokines, such as IL-1{beta}, IL-8, IL-6, TNF-, IFN- and RANTES (as well as NF-{kappa}B). Conversely, FH pre-treatment downregulated the expression of these pro-inflammatory cytokines. Treatment of A549-hACE2+TMPRSS2 cells with FP increased S protein-mediated NF-{kappa}B activation, while FH treatment reduced it. These findings suggest that FH may act as an inhibitor of SARS-CoV-2 cell entry and binding, thereby attenuating the infection-associated inflammatory response in a complement activation-independent manner. FP may contribute to viral cell entry, binding, and exacerbating the immune response. That may result in potentially influencing the severity of the infection.

immunology↗

bioRxiv2023

The time integral of BMP signaling determines fate in a stem cell model for early human development

How paracrine signals are interpreted to yield multiple cell fate decisions in a dynamic context during human development in vivo and in vitro remains poorly understood. Here we report an automated tracking method to follow signaling histories linked to cell fate in large numbers of human pluripotent stem cells (hPSCs). Using an unbiased statistical approach, we discovered that measured BMP signaling history correlates strongly with fate in individual cells. We found that BMP response in hPSCs varies more strongly in the duration of signaling than the level. However, we discovered that both the level and duration of signaling activity control cell fate choices only by changing the time integral of signaling and that duration and level are therefore interchangeable in this context. In a stem cell model for patterning of the human embryo, we showed that signaling histories predict the fate pattern and that the integral model correctly predicts changes in cell fate domains when signaling is perturbed. Using an RNA-seq screen we then found that mechanistically, BMP signaling is integrated by SOX2.

developmental biology↗

bioRxiv2022

The wheat head blight pathogen Fusarium graminearum recruits facultative endohyphal bacteria from the soil, making the fungal-bacterial holobiont nitrogen-fixing and increasing the fungal pathogenicity

In nature, fungal endophytes often have facultative endohyphal bacteria. Can a fungal pathogen such as Fusarium graminearum, pathogenic on wheat, get facultative endohyphal bacteria from soil (FEB) and how does the FEB affect the fungal phenotype? We constructed a growth system/microcosm that allowed a molecularly well-studied F. graminearum isolate, PH-1, to grow through natural soil and then be re-isolated on a gentamicin-containing medium, allowing endohyphal growth of the bacteria while killing eventual bacteria growing on the agar medium. We had labelled the F. graminearum PH-1 with a His1mCherry gene staining the fungal nuclei fluorescent red to confirm re-isolation of the same isolate we sent through the soil. Through qPCR of the 16SrRNA gene in the bacteria using universal primers combined with qPCR of the mCherry gene of DNA from the re-isolated cultures of the Fg-FEB holobionts growing on gentamicin-containing media, it was found that most of the holobiont isolates contained about 10 16SrRNA genes per fungal mCherry gene. The Fg-FEB holobiont isolates were sub-cultured several times, and the FEB content on lab media was stable. Sequencing the 16SrRNA gene from several Fg-FEB holobiont isolates revealed known endophytic bacteria capable of nitrogen fixation. We compared the pathogenicity of one of the Fg-FEB holobionts Fg-S.maltophilia, with the background without FEB and found that it was more pathogenic than without FEB. We could also show that the bacterial 16SrRNA load per fungal His1mCherry gene inside the wheat stayed the same as in culture. Finally, we tested if the Fg-S.maltophilia was capable of nitrogen fixation and could show that it, on a nitrogen-free medium, formed a dense mycelium containing proteins at similar levels as on regular nitrogen-containing media. Our results could indicate that naturally occurring fungal pathogens outside lab conditions might contain facultative endohyphal bacteria, positively affecting their pathogenicity and ecological fitness.

ecology↗

bioRxiv2022

Humanized mice bearing CRISPR/Cas9 Disruption of Signal Transducer and Activator of Transcription 1 (STAT1) to Model Primary Immunodeficiency

BackgroundThe search for a single, pathogenic genetic variant in a patient suspected to have a monogenic inborn error of immunity (IEI) often reveals a multitude of rare variants of unknown significance (VUS). Distinguishing which VUS is disease-causing versus the irrelevant, rare variants from the genetic background is slow and difficult. Advances in gene editing technology, particularly CRISPR/Cas9, promise to accelerate the timeline for the development of single-variant animal models, thus affording an experimental system for validating new genes and their variants. ObjectiveWe sought to demonstrate a proof-of-concept of using CRISPR/Cas9 in human hematopoietic stem cells (hHSC) to develop of humanized mice bearing a hematopoietic deficiency in signal transducer and activator 1 (STAT1). MethodsUsing CRISPR/Cas9, we introduced indels into the STAT1 gene of hHSCs and implanted them into immunodeficient mice. The reconstituted immune systems were assessed by flow cytometry. ResultsMice transplanted with cells edited to eliminate STAT1 developed human immune systems with diverse cell phenotypes. Lymphocytes from these reconstituted mice showed low expression of STAT1 protein and diminished phosphorylation of STAT1 in response to interferon stimulation. These data mirror the impaired, but not abolished, response to interferons seen in human partial STAT1 deficiency. CRISPR/Cas9 genome editing techniques can be used to rapidly and inexpensively create functional, humanized models of primary immune deficiencies.

immunology↗

bioRxiv2021

Efficient differentiation of human primordial germ cells through geometric control reveals a key role for NODAL signaling

Human primordial germ cells (hPGCs) form around the time of implantation and are the precursors of eggs and sperm. Many aspects of hPGC specification remain poorly understood. Here we show that micropatterned human pluripotent stem cells (hPSCs) treated with BMP4 give rise to hPGC-like cells (hPGCLC) and use these as a quantitatively reproducible and simple in vitro model to interrogate this important developmental event. We characterize micropatterned hPSCs up to 96h for the first time and show that hPGCLC populations are stable and continue to mature. By perturbing signaling during hPGCLC differentiation, we identify a previously unappreciated role for NODAL signaling and find that the relative timing and duration of BMP and NODAL signaling are critical parameters controlling the number of hPGCLCs. We formulate a mathematical model for a network of cross-repressive fates driven by NODAL and BMP signaling which predicts the measured fate patterns after signaling perturbations. Finally, we show that hPSC colony size dictates the efficiency of hPGCLC specification, which led us to dramatically improve the efficiency of hPGCLC differentiation over current protocols.

developmental biology↗

bioRxiv2021

Expanding the Potential Genes of Inborn Errors of Immunity through Protein Interactions

Inborn errors of immunity (IEI) are a group of genetic disorders that impair the immune system, with over 400 genes described so far, and hundreds more to be discovered. To facilitate the search for new genes, we need a way to prioritize among all the genes in the genome those most likely to play an important role in immunity. Here we identify a new list of genes by linking known IEI genes to new ones by using open-source databases of protein-protein interactions, post-translational modifications, and transcriptional regulation. We analyze this new set of 2,530 IEI-related genes for their tolerance of genetic variation and by their expression levels in various immune cell types.

immunology↗

bioRxiv2021

A Creb3-Like Transcription Factor Coordinates ER Function uponFood Intake to Regulate Lipid Metabolism

Ingestion of nutrients elicits essential physiological responses, including absorption, digestion, cessation of feeding and nutrient storage. The endoplasmic reticulum (ER) is central to this nutritional homeostasis, since it regulates intracellular organelle function, drives intercellular communication and promotes metabolite distribution. We identified the Drosophila Creb3L-family transcription factor, CrebA, as the key metabolic regulator of ER function, thereby affecting lipid metabolism and feeding behavior. In response to feeding, CrebA activity is rapidly and transiently activated. CrebA directly drives the expression of the ER protein sorting machinery. We demonstrate that CrebA levels regulate lipid metabolism through lipoprotein secretion into the hemolymph and suppress feeding behavior. Further, CrebA mouse homologs are also upregulated in the liver following feeding and drive the transcriptional activation of ER protein sorting machinery genes in mammals. Our results reveal an evolutionarily conserved transcription switch which is turned on in response to food ingestion and orchestrates a negative feedback loop that promotes satiety by regulating ER function and protein secretion.

cell biology↗

bioRxiv2020

Effect of leaf temperature on estimating physiological traits of wheat leaves from hyperspectral reflectance

A growing number of leaf traits can be predicted from hyperspectral reflectance data. These include structural and compositional traits, such as leaf mass per area, nitrogen and chlorophyll content, but also physiological traits such a Rubisco carboxylation activity, electron transport rate and respiration rate. Since physiological traits vary with leaf temperature, how does this impact on predictions made from reflectance measurements? We investigated this with two wheat varieties, by repeatedly measuring each leaf through a sequence of temperatures imposed by varying the air temperature in a growth room. The function predicting Rubisco capacity normalised to 25 {degrees}C predicted the same value, regardless of leaf temperatures ranging from 20 to 35{degrees}C. Leaf temperature affected none of the predicted traits: Vcmax25, J, chlorophyll content, LMA, N content per unit leaf area or Vcmax25/N. However, as others have derived models to predict Rubisco activity that includes variation associated with leaf temperature, we discuss whether these functions may include a temperature signal within the reflectance spectra.

plant biology↗