Biology subjects

Pal, C.

Publications and source records attributed to Pal, C..

At least 19 recordsLinked to original sources

bioRxiv2026

Gut bacterium of Leishmania donovani-non-transmitting sand fly induces IL-23~Th17 axis to protect hosts from drug-resistant visceral leishmaniasis

Background: Visceral leishmaniasis (VL) is caused by Leishmania donovani and differentiates under the influence of biotope-specific gut bacteria in the Leishmania donovani-transmitting sand fly vector, Phlebotomus argentipes, which coexists with the Leishmania donovani-non-transmitting Sergentomyia species in the Indian subcontinent. Hypothesis: Sergentomyia are primarily herpetophilic. Interestingly, we identified a specific population of anthropophilic Sergentomyia babu babu, a proven naturally non-competent vector for transmitting Leishmania donovani, with high abundance and human-bite incidences in VL-non-endemic regions, compared with VL-endemic regions of India. Thus, the possibility of egesting gut bacteria to humans from VL-non-transmitting Sergentomyia and inducing downstream immune cascades remains undeniable. Innovation: We characterized gut bacteria from anthropophilic Sergentomyia babu babu in both VL-endemic and VL-non-endemic regions of India and found that a heat-inactivated formulation of Heyndrickxia sporothermodurans [NCBI Sequence Read Archive (SRA): PRJNA1403236], isolated from anthropophilic Sergentomyia babu babu from a VL-non-endemic region, prevented and cured L. donovani infection by inducing IL-23~Th17. More importantly, it also prevented the initial parasite establishment by inducing phagocytosis, ROS, and TNF- in circulatory Ly6G-CD11b+Ly6Chi monocytes. To the best of our knowledge, this is the first report confirming that the gut bacteria of VL-non-transmitting sand flies are critical and need to be investigated in depth for developing therapeutics and/or prophylactics against visceral leishmaniasis (VL), and suggests that possible bite-transfer of gut bacteria from disease-non-transmitting vectors to hosts may restrict disease pathogenicity. Further clinical trials are needed to warrant (Indian patent: 202511041013, April 28, 2025).

immunology↗

bioRxiv2026

Prevalent Gut Phages Encode Modular Adhesins Mediating Epithelial Binding and Endoplasmic Reticulum Trafficking

Bacteriophages are crucial components of the human microbiome and hold promise as therapeutic agents. Yet, their physical interactions with mammalian cells remain poorly understood. Here, we developed a high-throughput platform to identify phages that adhere to epithelial layers and the proteins that mediate this interaction. The identified phages encode immunoglobulin (Ig)-like domain-containing proteins that, when displayed on a non-adherent phage, confer epithelial binding and internalization in vitro, and increased phage retention in the mouse gut in vivo. Phages encoding these adhesins are among the most abundant and prevalent human gut phages, including crAss-like phages and a distinct cluster of uncharacterized myophages. Domain sequence variation alters epithelial interaction profiles, and internalized phages traffic to the endoplasmic reticulum through the Golgi apparatus, suggesting access to non-degradative internalization pathways. These findings reveal widespread phage-human interactions in the human virome, with potential impacts on health and implications for next-generation phage therapeutics.

microbiology↗

bioRxiv2025

Lead optimization against drug-resistant Leishmania donovani infection: Semi-synthetic derivatives of ethyl linoleate isolated from Indian edible mushroom Meripilus giganteus.

Visceral leishmaniasis, the most severe form, affects thousands of people annually. Current drugs in practice fail to provide an absolute cure. Globally, treatment relies on a single dose of liposomal amphotericin B, which requires a costly setup and cold chain to maintain. Natural molecules remain the vital sources of therapeutic ingredients in modern medicine. Meripilus giganteus is traditionally consumed by the people of the North-eastern regions of the Himalayas, India. In this study, we planned for the stepwise bioactivity-guided isolation of natural molecules from M. giganteus and to synthesize more potential therapeutic derivatives against the drug-resistant Leishmania infection. HPLC chromatogram of ethyl acetate extract obtained from M. giganteus revealed the presence of ethyl linoleate as the most active anti-leishmanial molecule. Several derivatives of ethyl linoleate were synthesized and evaluated against Leishmania promastigotes. Among them, a single epoxygenated variant of ethyl linoleate, ethyl (Z)-8-(3-(oct-2-en-1-yl) oxiran-2-yl) octanoate (EL3), showed promising anti-leishmanial activity against both drug-sensitive and drug-resistant Leishmania donovani. The lead derivative disrupts the biosynthesis of trypanothione from glutathione and spermidine, making the parasite vulnerable to the oxidative burst inside the host. Interestingly, the lead derivative was found to be more efficient against the drug-resistant L. donovani, in vivo. Besides this, it has almost no toxicity towards host cells. Considering the urgency for new drug development, we propose this novel semi-synthetic derivative as a potent therapeutic lead.

immunology↗

bioRxiv2025

A Morpho-Proteomic Atlas of Mitosis at Sub-Minute Resolution

Precise spatiotemporal protein organization is critical for fundamental biological processes including cell division1,2. Indeed, aberrant mitosis and mitotic factors are involved in diverse diseases, including various cancers3,4, Alzheimers disease5, and rare diseases6. During mitosis, complex spatial rearrangements and regulation ensure the accurate separation of replicated sister chromatids to produce genetically identical daughter cells7-9. Previous studies employed high-throughput methodologies to follow specific proteins during mitosis10-15. Still a temporally refined systems-level approach capable of monitoring morphological and proteomic changes throughout mitosis has been lacking. Here, we achieved unprecedented resolution by phenotypically decomposing mitosis into 40 subsections of a regression plane for proteomic analysis using deep learning and regression techniques. Our deep visual proteomics (DVP) workflow16, revealed rapid, dynamic proteomic changes throughout mitosis. We quantified 4,350 proteins with high confidence, demonstrating that 147 show significant dynamic abundance changes during mitotic progression. Clustering revealed coordinated patterns of protein regulation, while network analysis uncovered tight regulation of core cell cycle proteins and a link between cell cycle and cancer-linked mutations. Immunofluorescence validated abundance changes and linked previously uncharacterised proteins, like C19orf53, to mitosis. To facilitate data navigation, we developed Mito-Omix, a user-friendly online platform that integrates intricate morphological and molecular data. Our morphological and proteomic dataset spans mitosis at high resolution, providing a rich resource for understanding healthy and aberrant cell division.

cell biology↗

bioRxiv2024

Pathogen genomic surveillance as a scalable framework for precision phage therapy

Phage therapy is gaining increasing interest in the fight against critically resistant nosocomial pathogens. However, the narrow host range of bacteriophages hampers the development of broadly effective phage therapeutics and demands precision approaches. Here we combine large-scale phylogeographical analysis with high-throughput phage typing to guide the development of precision phage cocktails targeting carbapenem-resistant Acinetobacter baumannii, a top-priority pathogen. Our analysis reveals that a few strain types dominate infections in each world region, with their geographical distribution remaining stable within six years. As we demonstrate in Eastern Europe, this spatio-temporal distribution enables preemptive preparation of region-specific phage collections that target most local infections. Finally, we showcase the efficacy of a four-phage cocktail against the most prevalent strain type in both in vitro and in vivo animal infection models. Ultimately, genomic surveillance identifies patients benefiting from the same phages across geographical scales, thus providing a scalable framework for precision phage therapy. HighlightsO_LIA few carbapenem-resistant Acinetobacter baumannii types dominate infections worldwide C_LIO_LIPhylogeography reveals stable strain composition of individual countries over a six-year period C_LIO_LIThis spatio-temporal distribution allows preemptive preparation of region-specific phage collections C_LIO_LIA four-phage cocktail is efficacious against the most prevalent strain type in Europe. C_LI

microbiology↗

bioRxiv2023

Enzyme Fragment Complementation Driven by Nucleic Acid Hybridization

A modified protein fragment complementation assay has been designed and validated as a gain-of-signal biosensor for nucleic acid:nucleic acid interactions. The assay uses fragments of NanoBiT, the split luciferase reporter enzyme, that are esterified at their C-termini to steramers, sterol-modified oligodeoxynucleotides. The Drosophila hedgehog autoprocessing domain, DHhC, served as a self-cleaving catalyst for these bioconjugations. In the presence of ssDNA or RNA with segments complementary to the steramers and adjacent to one another, the two NanoBiT fragments productively associate, reconstituting NanoBiT enzyme activity. NanoBiT luminescence in samples containing nM ssDNA or RNA template exceeded background by 30-fold and as high as 120-fold depending on assay conditions. A unique feature of this detection system is the absence of a self-labeling domain in the NanoBiT bioconjugates. Eliminating that extraneous bulk broadens the detection range from short oligos to full-length mRNA. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=65 SRC="FIGDIR/small/572427v1_ufig1.gif" ALT="Figure 1"> View larger version (16K): org.highwire.dtl.DTLVardef@f0706dorg.highwire.dtl.DTLVardef@1653d01org.highwire.dtl.DTLVardef@18843bcorg.highwire.dtl.DTLVardef@1170e47_HPS_FORMAT_FIGEXP M_FIG C_FIG

biochemistry↗

bioRxiv2023

Antibiotics of the future are prone to resistance in Gram-negative pathogens

Despite the ongoing development of new antibiotics, the future evolution of bacterial resistance may render them ineffective. We demonstrate that antibiotic candidates currently under development are as prone to resistance evolution in Gram-negative pathogens as clinically employed antibiotics. Resistance generally stems from both genomic mutations and the transfer of antibiotic resistance genes from microbiomes associated with humans, both factors carrying equal significance. The molecular mechanisms of resistance overlap with those found in commonly used antibiotics. Therefore, these mechanisms are already present in natural populations of pathogens, indicating that resistance can rapidly emerge through selection of pre-existing bacterial variants. However, certain combinations of antibiotics and bacterial strains are less prone to developing resistance, emphasizing the potential of narrow-spectrum antibacterial therapies that could remain effective. Our comprehensive framework allows for predicting future health risks associated with bacterial resistance to new antibiotics.

microbiology↗

bioRxiv2023

Metabolic complexity increases adaptability

Bacteria show a striking ability to adapt to new environments through horizontal gene transfer. Anecdotal evidence suggests that some bacteria are more adaptable than others: e.g., intestinal E. coli frequently spin off pathogenic strains adapted to other human tissues, while gastric Helicobacter pylori do not. However, it is unclear what determines the ability of individual strains or species to adapt to new environments. Here, we use pan-genome scale modeling to explore the ability of 102 different unicellular organisms to adapt to each of 5000+ diverse nutritional environments. While the small metabolic systems of specialized endosymbionts typically require 50+ additional metabolic reactions to adapt to new environments, different strains of the generalist E. coli require on average less than 5 new reactions. Thus, there is a positive feedback between metabolic complexity and adaptability, contrary to speculations that complex systems are generally less adaptable.

evolutionary biology↗

bioRxiv2022

The evolution of colistin resistance increases bacterial resistance to host antimicrobial peptides and virulence

Antimicrobial peptides (AMPs) offer a promising solution to the antibiotic resistance crisis. However, an unresolved serious concern is that the evolution of resistance to therapeutic AMPs may generate cross-resistance to host AMPs, compromising a cornerstone of the innate immune response. We systematically tested this hypothesis using globally disseminated mobile colistin resistance (MCR) that has been selected by the use of colistin in agriculture and medicine. Here we show that MCR provides a selective advantage to E. coli in the presence of key AMPs from humans and agricultural animals by increasing AMP resistance. Moreover, MCR promotes bacterial growth in human serum and increases virulence in a Galleria mellonella infection model. Our study shows how the anthropogenic use of AMPs can drive the accidental evolution of resistance to the innate immune system of humans and animals. These findings have major implications for the design and use of therapeutic AMPs and they suggest that MCR will be difficult to eradicate, even if colistin use is withdrawn.

microbiology↗

bioRxiv2021

Proteome-wide landscape of solubility limits in a bacterial cell

Proteins are prone to aggregate when they are expressed above their solubility limits, a phenomenon termed supersaturation. Aggregation may occur as proteins emerge from the ribosome or after they fold and accumulate in the cell, but the relative importance of these two routes remain poorly known. Here, we systematically probed the solubility limits of each Escherichia coli protein upon overexpression using an image-based screen coupled with machine learning. The analysis suggests that competition between folding and aggregation from the unfolded state governs the two aggregation routes. Remarkably, the majority (70%) of insoluble proteins have low supersaturation risks in their unfolded states and rather aggregate after folding. Furthermore, a substantial fraction ([~]35%) of the proteome remain soluble at concentrations much higher than those found naturally, indicating a large margin of safety to tolerate gene expression changes. We show that high disorder content and low surface stickiness are major determinants of high solubility and are favored in abundant bacterial proteins. Overall, our proteome-wide study provides empirical insights into the molecular determinants of protein aggregation routes in a bacterial cell.

molecular biology↗

bioRxiv2021

ssDNA recombineering boosts in vivo evolution of nanobodies displayed on bacterial surfaces

In vivo evolution of antibodies facilitates emergence of novel target specificities from pre-existing clones. In this work we show how mutagenic ssDNA recombineering of camel-derived nanobodies encoded in a bacterial genome enables clonal hyper-diversification and the rise of new properties. As a proof-of-principle we used a nanobody recognizing the antigen TirM from enterohaemorrhagic E. coli (EHEC) and evolved it towards the otherwise not recognized TirM antigen from enteropathogenic E. coli (EPEC). To this end, E. coli cells displaying on their surface this nanobody fused to the intimin outer membrane anchor domain were subjected to multiple rounds of mutagenic ssDNA recombineering targeted to the CDR1, CDR2 and CDR3 regions of its genomically encoded VHH sequence. Binders to the new antigen (EPEC TirM) were then selected upon immunomagnetic capture of bacteria bearing the corresponding nanobody variants. As a result, several modified nanobodies were identified which maintained recognition of EHEC TirM but acquired the ability to bind the new antigen with high affinity (Kd ~20 nM). The results highlight the power of combining evolutionary properties of bacteria in vivo with oligonucleotide synthesis in vitro for the sake of focusing diversification to specific segments of a gene (or protein thereof) of interest. Our experimental workflow empowers the evolution of nanobodies displayed on the surface of bacterial cells for a large number of potential applications in medical and industrial biotechnology.

synthetic biology↗

bioRxiv2020

Negative trade-off between neoantigen repertoire breadth and the specificity of HLA-I molecules shapes antitumour immunity

The human leukocyte antigen class I (HLA-I) genes shape our immune response against pathogens and cancer. Certain HLA-I variants can bind a much wider range of peptides than others, a feature that could be favorable against a range of viral diseases. However, the implications of this phenomenon on cancer immune response is unknown. In this paper, we quantified peptide repertoire breadth (or promiscuity) of a representative set of HLA-I alleles, and found that cancer patients that carry HLA-I alleles with high peptide binding promiscuity are characterized by significantly worse prognosis after immune checkpoint inhibitor treatment. This trend can be explained by a reduced capacity of promiscuous HLA-I molecules to discriminate between human self and tumour peptides, yielding a shift in regulation of T-cells in the tumour microenvironment from activation to tolerance. In summary, HLA-I peptide binding specificity shapes neopeptide immunogenicity and the self-immunopeptidome repertoire in an antagonistic manner. It could also underlie a negative trade-off between antitumour immunity and the genetic susceptibility to viral infections.Competing Interest StatementThe authors have declared no competing interest.View Full Text

cancer biology↗

bioRxiv2020

Improved bacterial recombineering by parallelized protein discovery

Exploiting bacteriophage-derived homologous recombination processes has enabled precise, multiplex editing of microbial genomes and the construction of billions of customized genetic variants in a single day. The techniques that enable this, Multiplex Automated Genome Engineering (MAGE) and directed evolution with random genomic mutations (DIvERGE), are however currently limited to a handful of microorganisms for which single-stranded DNA-annealing proteins (SSAPs) that promote efficient recombineering have been identified. Thus, to enable genome-scale engineering in new hosts, highly efficient SSAPs must first be found. Here we introduce a high-throughput method for SSAP discovery that we call Serial Enrichment for Efficient Recombineering (SEER). By performing SEER in E. coli to screen hundreds of putative SSAPs, we identify highly active variants PapRecT and CspRecT. CspRecT increases the efficiency of single-locus editing to as high as 50% and improves multiplex editing by 5 to 10-fold in E. coli, while PapRecT enables efficient recombineering in Pseudomonas aeruginosa, a concerning human pathogen. CspRecT and PapRecT are also active in other, clinically and biotechnologically relevant enterobacteria. We envision that the deployment of SEER in new species will pave the way toward pooled interrogation of genotype-to-phenotype relationships in previously intractable bacteria.

microbiology↗

bioRxiv2019

Multiple-site diversification of regulatory sequences enables inter-species operability of genetic devices

The features of the light-responsive cyanobacterial CcaSR regulatory node that determine interoperability of this optogenetic device between Escherichia coli and Pseudomonas putida have been examined. For this, all structural parts (i.e. ho1 and pcyA genes for synthesis of phycobilin, the ccaS/ccaR system from Synechocystis and its cognate downstream promoter) were maintained but their expression levels and stoichiometry diversified by [i] reassembling them together in a single broad host range, standardized vector and [ii] subjecting the non-coding regulatory sequences to multiple cycles of directed evolution with random genomic mutations (DIvERGE), a recombineering method that intensifies mutation rates within discrete DNA segments. Once passed to P. putida, various clones displayed a wide dynamic range, insignificant leakiness and excellent capacity in response to green light. Inspection of the evolutionary intermediates pinpointed translational control as the main bottleneck for interoperability and suggested a general approach for easing the exchange of genetic cargoes between different species i.e. optimization of relative expression levels and upturning of subcomplex stoichiometry.

synthetic biology↗

bioRxiv2019

Mismatch repair hierarchy of Pseudomonas putida revealed by mutagenic ssDNA recombineering of the pyrF gene

The mismatch repair (MMR) system is one of the key molecular devices that prokaryotic cells have for ensuring fidelity of DNA replication. While the canonical MMR of E. coli involves 3 proteins (encoded by mutS, mutL and mutH), the soil bacterium Pseudomonads putida has only 2 bona fide homologues (mutS and mutL) and the sensitivity of this abridged system to different types of mismatches is unknown. On this background, sensitivity to MMR of this bacterium was inspected through single stranded (ss) DNA recombineering of the pyrF gene (the prokaryotic equivalent to yeasts URA3) with mutagenic oligos representative of every possible mispairing under either wild-type conditions, permanent deletion of mutS or transient loss of mutL activity (brought about by the thermoinducible dominant negative allele mutLE36K). Analysis of single nucleotide mutations borne by clones resistant to fluoroorotic acid (5FOA, the target of wild type PyrF) pinpointed prohibited and tolerated single-nucleotide replacements and exposed a clear grading of mismatch recognition. The resulting data unequivocally established the hierarchy A:G< C:C< G:A< C:A, A:A, G:G, T:T, T:G, A:C, C:T< G:T, T:C as the one prevalent in Pseudomonas putida. This information was vital for enabling recombineering strategies aimed at single-nucleotide changes in this biotechnologically important species.\n\nOriginality-Significance StatementSingle-stranded DNA (ssDNA) recombineering has emerged in recent years as one of the most powerful technologies of genome editing in E. coli and other Enterobacteria. However, the efforts to expand the concept and the methods towards environmental microorganisms such as Pseudomonas putida have been limited thus far by several gaps in our fundamental knowledge of how nucleotide mismatch repair (MMR) operates in such non-model species. One critical bottleneck is the hierarchy of recognition of different types of base mispairings as well as the need of setting up strategies for counteracting MMR and thus enabling tolerance to all types of changes. The work presented here tackles both issues and makes P. putida amenable to sophisticated genetic manipulations that were impossible before.

microbiology↗

bioRxiv2019

Chemical-genetic profiling reveals cross-resistance and collateral sensitivity between antimicrobial peptides

Antimicrobial peptides (AMPs) are key effectors of the innate immune system and promising therapeutic agents. Yet, knowledge on how to design AMPs with minimal cross-resistance to human host-defense peptides remains limited. Here, with a chemical-genetic approach, we systematically assessed the resistance determinants of Escherichia coli against 15 different AMPs. Although generalizations about AMP resistance are common in the literature, we found that AMPs with different physicochemical properties and cellular targets vary considerably in their resistance determinants. As a consequence, collateral sensitivity effects were common: numerous genes decreased susceptibility to one AMP while simultaneously sensitized to others. Finally, the chemical-genetic map predicted the cross-resistance spectrum of laboratory-evolved human-B-defensin-3 resistant lineages. Our work substantially broadens the scope of known resistance-modulating genes and explores the pleiotropic effects of AMP resistance. In the future, the chemicalgenetic map could inform efforts to minimize cross-resistance between therapeutic and human host AMPs.

microbiology↗

bioRxiv2018

Antibiotic usage promotes the evolution of resistance against gepotidacin, a novel multi-targeting drug

Multi-targeting antibiotics, i.e. single compounds capable to inhibit two or more bacterial targets offer a promising therapeutic strategy, but information on resistance evolution against such drugs is scarce. Gepotidacin is an antibiotic candidate that selectively inhibits both bacterial DNA gyrase and topoisomerase IV. In a susceptible organism, Klebsiella pneumoniae, a combination of two specific mutations in these target proteins provide an over 2000-fold increment in resistance, while individually none of these mutations affect resistance significantly. Alarmingly, gepotidacin-resistant strains are found to be as virulent as the wild-type K. pneumoniae strain in a murine model, and extensive cross-resistance was demonstrated between gepotidacin and ciprofloxacin, a fluoroquinolone antibiotic widely employed in clinical practice. This suggests that numerous fluoroquinolone-resistant pathogenic isolates carry mutations which would promote the evolution of clinically significant resistance against gepotidacin in the future. We conclude that prolonged antibiotic usage could select for mutations that serve as stepping-stones towards resistance against antimicrobial compounds still under development. More generally, our research indicates that even balanced multi-targeting antibiotics are prone to resistance evolution.

microbiology↗

bioRxiv2018

CRISPR-interference based modulation of mobile genetic elements in bacteria

Spontaneous mutagenesis of synthetic genetic constructs by mobile genetic elements frequently results in the rapid loss of advantageous functions. Previous efforts to minimize such mutations required the exceedingly time-consuming manipulation of bacterial chromosomes and the complete removal of insertional sequences (ISes). To this aim, we developed a single plasmid-based system (pCRIS) that applies CRISPR-interference to inhibit the transposition of bacterial ISes. pCRIS expresses multiple guide RNAs to direct inactivated Cas9 (dCas9) to simultaneously silence IS1, IS3, IS5, and IS150 at up to 38 chromosomal loci in Escherichia coli, in vivo. As a result, the transposition rate of all four targeted ISes dropped to negligible levels at both chromosomal and episomal targets, increasing the half-life of exogenous protein expression. Most notably, pCRIS, while requiring only a single plasmid delivery performed within a single day, provided a reduction of IS-mobility comparable to that seen in genome-scale chromosome engineering projects. Global transcriptomics analysis revealed nevertheless only minute alterations in the expression of untargeted genes. Finally, the transposition-silencing effect of pCRIS was easily transferable across multiple E. coli strains. The plasticity and robustness of our IS-silencing system make it a promising tool to stabilize bacterial genomes for synthetic biology and industrial biotechnology applications.

synthetic biology↗