Biology subjects

Qu, F.

Publications and source records attributed to Qu, F..

At least 19 recordsLinked to original sources

bioRxiv2025

MusTer: A Generalizable Microfluidic Platform Combining Multi-Parametric Droplet Sorting and Multi-Droplet Merging in Single-Cell Sequencing

Droplet microfluidics is a core technology that powers high-throughput single cell sequencing. However, the current generation of single-cell microfluidics faces notable limitations, including cell aggregation, suboptimal on-chip reactions that compromise experimental outcomes and elevate background noise, as well as a dependence on costly commercial barcode beads. To address these challenges, we present MusTer, an integrated next-generation platform with multi-parametric singlet droplet sorting and triple-droplet merging capability. MusTers multi-parametric singlet sorting module enables in-line droplet analysis of intrinsic fluorescence peak amplitude, width and interval from single-nucleus- (singlet) or multiple-nuclei (multiplet)-encapsulating droplets, subsequently allowing an effective separation of the singlet droplets from multiplet droplets and empty droplets. MusTers triple-droplet merging module enables precise multi-step reactions, with each step performed under its own optimal conditions, thereby significantly enhancing experimental flexibility and efficiency. We validated MusTers performance by performing single-cell ATAC-seq on maize leaves. The results demonstrate that MusTer significantly reduces the doublet rate, enhances the signal-to-noise ratio, and yields improved cell clustering compared with traditional methods. These results validate MusTers capability to overcome key limitations in droplet-based single-cell analysis, effectively enhancing data quality and reliability, and also paves the way for its use in other challenging sample types and multi-step single-cell assays.

bioengineering↗

bioRxiv2025

Naturally occurring mutations in replication proteins of a small RNA virus that alter the number, sizes, and relative abundances of subgenomic RNAs

Many positive-strand (+) RNA viruses produce subgenomic RNAs (sgRNAs) in infected cells. sgRNAs are synthesized by virus-encoded replication proteins (RPs), but whether RPs regulate the number and sizes of sgRNAs remains largely unknown. We report multiple naturally occurring mutations within the RPs of turnip crinkle virus (TCV) that alter the number, sizes, and relative abundances of TCV sgRNAs. TCV is a (+) RNA virus that normally produces two sgRNAs: the 1,724-nucleotide (nt) sgRNA1 expressing movement proteins, and the 1,449-nt sgRNA2 expressing capsid protein. A single amino acid change, A113V, within a region shared by TCV RPs p28 and p88, diminished sgRNA1 levels and delayed viral systemic spread. Interestingly, three second-site RP mutations emerged in infected plants that, alone or in combination with A113V, resulted in over-production of sgRNA1 or accumulation of two alternative sgRNAs of 1,876 and 1,601 nt, and rescued A113V defects. The alternative sgRNAs originated from nearly identical recombination events, their size difference reflecting varying 5 extensions. Structural modeling of the TCV replication complex showed a conical ring architecture containing p28, p88, and a partially double-stranded RNA. While A113 may interact with TCV genomic RNA or host factors to promote (-) sgRNA1 synthesis, the second-site mutations likely influenced binding and entry of RNA template into the p88 active site. They may stall RNA synthesis at specific hotspots and stimulate template switching, thereby generating alternative (-) sgRNAs. Our findings reveal previously unrecognized constraints on viral RPs that ensure production of sgRNAs with precise sizes and abundances. Author summaryMany (+)-strand viruses, such as SARS-CoV-1 and -2, Chikungunya virus, and tomato mosaic virus, synthesize subgenomic RNAs (sgRNAs) during cellular infections. Targeting sgRNA production could prove to be an effective antiviral strategy, as sgRNAs are needed to express diverse proteins critical for viral survival and transmission. Although sgRNA production requires virus-encoded replication proteins (RPs), whether RPs also dictate the number, sizes, and relative abundances of viral sgRNAs remain to be thoroughly investigated. We identified and characterized four naturally occurring mutations in RPs of the plant-infecting turnip crinkle virus that specifically perturbed one of the sgRNAs. Our findings uncover novel constraints on viral RPs that safeguard sgRNA integrity, and avail them as potential targets for controlling pathogenic viruses.

plant biology↗

bioRxiv2025

Loss of the Y chromosome drives cancer metabolic reprogramming

Metabolic reprogramming promotes cancer aggressiveness and an immune-suppressive tumor microenvironment. Loss of the Y chromosome (LOY) drives both phenotypes in bladder cancer (BC). We investigated the hypothesis that LOY leads to metabolic reprogramming using untargeted metabolomic profiling of human BC cells and analysis of pan-cancer transcriptomic datasets. This revealed that aerobic glycolysis is activated in LOY BC cells. Since prior work showed that expression of collagen receptor DDR2 drives BC progression and DDR2 is a regulator of tumor metabolism, we investigated if DDR2 is implicated in metabolic reprogramming of LOY-tumors. Analysis of scRNAseq data from 251 patients with 12 tumor types found that LOY and DDR2 expression promote aerobic glycolysis, and this was confirmed by metabolomics. Deletion of DDR2 in LOY BC cells reduced glycolytic flux, inhibited cell proliferation, reduced EMT and stemness features, and promoted apoptosis. Our data provide a rationale for using LOY as a tumor selection biomarker for DDR2 targeted therapeutics. TeaserLoss of the Y chromosome augments glycolytic metabolism in bladder cancer cells, and this is in part dependent on the collagen receptor DDR2.

cancer biology↗

bioRxiv2025

RNAGym: Large-scale Benchmarks for RNA Fitness and Structure Prediction

Understanding RNA structure and predicting the functional consequences of mutations are fundamental challenges in computational biology with broad implications for therapeutic development and synthetic biology. Current evaluation of machine learning-based RNA models suffers from disparate experimental datasets and inconsistent performance assessments across different RNA families. To address these challenges, we introduce RNAGym, a large-scale benchmarking framework specifically designed for three core tasks-RNA fitness, secondary structure, and tertiary structure prediction. The framework integrates extensive datasets, including 70 standardized deep mutational scanning assays covering over a million mutations across diverse RNA types; 901k chemical-mapping reactivity profiles for secondary structure; and 215 diverse tertiary structures curated from the PDB. RNAGym is designed to facilitate a systematic comparison of RNA models, offering an essential resource to enhance the understanding and development of these models.

synthetic biology↗

bioRxiv2025

Rescue of tomato yellow leaf curl virus mutants with heterologous iterons through in planta evolution

The single-stranded, circular DNA genomes of geminiviruses contain iterated motifs of 5-6 nucleotides, known as iterons, upstream of the replication protein (Rep) coding region. Iterons were previously found to interact with cognate Rep in a sequence-specific manner, and the iteron-Rep interaction was needed for viral DNA replication. Nonetheless, iterons of closely related viruses often have different sequences, suggesting diversifying selection. To identify selection pressures driving iteron diversification, we constructed tomato yellow leaf curl virus (TYLCV, isolate SH2) mutants in which the iteron motifs were replaced with those of closely related tobacco curly shoot virus (TbCSV, isolate Y35). All mutants replicated in inoculated leaves of Nicotiana benthamiana, but many failed to spread systemically. However, the systemic movement defects were mostly rescued by de novo mutations. Intriguingly, these de novo mutations did not restore the iterons to SH2 sequences. Rather, they likely enabled viral escape from repression exerted by the heterogenous Y35 iterons absent of a matching Rep. These results are consistent with iterons acting as sites of competitive binding by host-encoded transcription factors (TFs) and the cognate Rep. The iteron-TF binding commences as soon as viral genomes enter cell nuclei, committing genome copies to Rep mRNA transcription and protein translation; but also blocking them from replication. Conversely, iteron-Rep binding is possible only after Rep is produced, and likely repels TFs from some genome copies, permitting replication initiation. Testing this model through future research should clarify the intricate evolutionary interplays between geminiviruses and their crop hosts, and inform novel management strategies. Author SummaryGeminiviruses are important crop pathogens worldwide for which effective control measures are lacking, due to incomplete understanding of their evolutionary dynamics in infected plants. The current study focuses on a class of short sequence repeats in geminiviral genomic DNA, known as iterons, sitting immediately upstream of the viral gene encoding replication protein (Rep). Iterons are interesting because even though their positions and repeat patterns are conserved across all geminiviruses, their sequence identities are highly diverse. Our investigations revealed that contrary to previous reports, the sequence identity of iterons is non-essential for tomato yellow leaf curl virus (TYLCV) to replicate. Rather, they are repressors of replication, and this repression is overcome by their binding with cognate Rep. Our findings led to a new model postulating that the genome section encompassing iterons likely evolved specific sequence motifs to entice host-encoded transcription factors (TFs), facilitating rapid Rep production. Conversely, Rep promotes viral replication by removing TFs from genome copies through competitive iteron binding. Future testing of this new model will likely unveil novel targets for more effective management of crop diseases caused by geminiviruses.

evolutionary biology↗

bioRxiv2025

De Novo Negatively Charged Binders Targeting MMLVRT Nucleic Acid Binding Sites Overcome Stability-Activity Trade-offs

The limited thermostability and storage-induced inactivation of Moloney murine leukemia virus reverse transcriptase (MMLV RT) have constrained its applications. In this study, a high-stability mutant, MMLV RT-SV, was generated through a multi-site mutagenesis strategy targeting the nucleic acid-binding pocket. Through de novo protein design, three highly negatively charged binders with affinities of 45 nM, 362 nM, and 829 nM were developed to specifically target the positively charged nucleic acid-binding region on the surface of MMLV RT-SV. Experimental results demonstrated that these binders formed complexes with the enzyme via electrostatic interaction, significantly enhancing the thermostability and long-term storage stability of MMLV RT-SV while not affecting its RNA- dependent DNA polymerase function. This work pioneers the rational design of negatively charged binders targeting strongly positively charged nucleic acid-binding sites, overcoming the traditional stability-activity trade-off inherent in site-directed mutagenesis and directed evolution. The proposed strategy not only provides an innovative solution to address the thermal sensitivity and storage instability of reverse transcriptase but also establishes a novel paradigm for De Novo-based precision engineering of enzyme functions, demonstrating significant potential in molecular diagnostics, gene editing, and related fields.

bioengineering↗

bioRxiv2025

Advancing (-)-Premarineosin A as a Potent Antimalarial Therapeutic via Metabolic Engineering and Late-Stage Derivatization

Diversification of structurally complex natural products remains a key challenge in the discovery of next-generation therapeutics. Premarineosin A, a potent and selective antimalarial natural product, is a promising yet underexplored scaffold due to limited availability and synthetic complexity. In this work, we overcome both barriers by coupling metabolic engineering with late-stage derivatization, enabling the first systematic exploration of the premarineosin A scaffold. Rational engineering of Streptomyces eitanensis, encoding a (-)-premarineosin A biosynthetic gene cluster, increased titers over 200-fold. Sustainable production of (-)-premarineosin A enabled a unique semi-synthetic and biocatalytic derivatization campaign. In this first structure-activity relationship study of premarineosin A, we accessed a suite of novel analogs, including a C12-brominated derivative with nanomolar potency (EC50 < 5 nM). This work establishes (-)-premarineosin A as a tractable and evolvable antimalarial scaffold, demonstrating how chemical biology approaches can unlock new structural and pharmacological space from complex microbial metabolites.

microbiology↗

bioRxiv2024

Ligand-induced conformational changes in the β1-Adrenergic Receptor Revealed by Hydrogen-Deuterium Exchange Mass Spectrometry

G-Protein Coupled Receptors (GPCRs) constitute the largest family of signalling proteins responsible for translating extracellular stimuli into intracellular functions. When dysregulated, GPCRs drive numerous diseases and are the most targeted proteins in drug discovery. GPCR structural dynamics and activity can be modulated by a wide range of drugs, including full/partial agonists and antagonists. While crucial for developing novel therapeutics targeting GPCRs, the structural dynamics of the receptors associated with their activity upon drug interactions are not yet fully understood. Here, we employ Hydrogen Deuterium Exchange Mass Spectrometry (HDX-MS), to characterise the structural dynamics of turkey {beta}1-adrenergic receptor (t{beta}1AR) in complex with nine ligands, including agonists, partial agonists and antagonists. We show that dynamic signatures across the GPCR structure can be grouped by compound modality. Surprisingly, we discovered repeated destabilisation of the intracellular loop 1 (ICL1) upon full agonist binding and stabilisation upon antagonist binding, suggesting that increased dynamics in this region are an essential component for G-protein recruitment. Multiple sequence alignments and molecular dynamics simulations indicate that L72 in ICL1 plays important structural role. Differential HDX-MS experiment of t{beta}1AR and t{beta}1AR L72A construct in complex with miniGs, in response to various ligands, suggests involvement of ICL1 in stabilising the GDP bound state by influencing the stability of HG helix of miniGs. Overall, our results provide a platform for determining drug modality and highlight how HDX-MS can be used to dissect receptor ligand interaction properties and GPCR mechanism. Significance statementRecent advances in hydrogen-deuterium exchange mass spectrometry have allowed probing conformational signatures of challenging membrane protein assemblies. We studied the structural dynamics of a class A GPCR, namely t{beta}1AR, in response to diverse ligands including agonists, antagonists and partial agonists. We demonstrate that the functional effect of compounds can be discerned by simply profiling the dynamics induced across the receptor, without the need for downstream interaction partners. We showed that ICL1 undergoes a significant change in dynamics between activated and inhibited states consistent with a role in downstream signaling pathways in class A GPCRs.

biophysics↗

bioRxiv2023

High-throughput generic single-entity sequencing using droplet microfluidics

Single-cell sequencing has revolutionized our understanding of cellular heterogeneity by providing a micro-level perspective over the past decades. Although heterogeneity is essential for various biological communities, the currently demonstrated platform predominantly focuses on eukaryotic cells without cell walls and their transcriptomics 1,2, leaving significant gaps in the study of omics from other single biological entities such as bacteria and viruses. Due to the difficulty of isolating and acquiring their DNA3, contemporary methodologies for the characterization of generic biological entities remain conspicuously constrained, with low throughput4, compromised lysis efficiency5, and highly fragmented genomes6. Herein, we present the Generic Single Entity Sequencing platform (GSE-Seq), which boasts ample versatility, high throughput, and high coverage, and is enabled by an innovative workflow, addressing the critical challenges in single entities sequencing: (1) one-step manufacturing of massive barcodes, (2) degradable hydrogel-based in situ sample processing and whole genome amplification, (3) integrated in-drop library preparation, (4) compatible long-read sequencing. By GSE-Seq, we have achieved a significant milestone by enabling high-throughput, long-read single-entity profiling of dsDNA and ssDNA from single virus sequencing (SV-seq) and single bacteria sequencing (SB-seq) of the human gut and marine sediment for the first time. Notably, our analysis uncovered previously overlooked viral and bacterial dark matter and phage-host interactions. In summary, the presented conceptually new workflow offers a toolbox based on droplet microfluidics to tackle the persistent challenges in high-throughput profiling to generic applications, which hold immense promise for diverse biological entities, especially hard-to-lyse cells.

bioengineering↗

bioRxiv2023

Single-cell mutation rate of turnip crinkle virus (-)-strand replication intermediates

Viruses with single-stranded, positive-sense (+) RNA genomes incur high numbers of errors during replication, thereby creating diversified genome populations from which new, better adapted viral variants can emerge. However, a definitive error rate is known for a relatively few (+) RNA plant viruses, due to challenges to account for perturbations caused by natural selection and/or experimental set-ups. To address these challenges, we developed a new approach that exclusively profiled errors in the (-)-strand replication intermediates of turnip crinkle virus (TCV), in singly infected cells. A series of controls and safeguards were devised to ensure errors inherent to the experimental process were accounted for. This approach permitted the estimation of a TCV error rate of 8.47 X 10-5 substitution per nucleotide site per cell infection. Importantly, the characteristic error distribution pattern among the 50 copies of 2,363-base-pair cDNA fragments predicted that nearly all TCV (-) strands were products of one replication cycle per cell. Furthermore, some of the errors probably elevated error frequencies by lowering the fidelity of TCV RNA-dependent RNA polymerase, and/or permitting occasional re-replication of progeny genomes. In summary, by profiling errors in TCV (-)-strand intermediates incurred during replication in single cells, this study provided strong support for a stamping machine mode of replication employed by a (+) RNA virus. Author SummaryMost (+) RNA viruses introduce replication errors at relatively high frequencies. As a result, it is of vital importance for these viruses to purge lethal errors in a timely manner. TCV, a plant-infecting small (+) RNA virus, was proposed to encode a Bottleneck, Isolate, Amplify, Select (BIAS) mechanism that compel swift clearance of lethal errors by bottlenecking the number of replicating genome copies to one per cell. A crucial prediction of this BIAS model is that such bottlenecking also acts on progeny genome copies, preventing them from repeating replication in the cells of their own genesis. The current study tested this prediction by developing a carefully controlled, readily reproducible approach to profile errors and error distributions in (-)-stranded replication intermediates of TCV. We found that most of replication-generated (-) strands descended from the primary (+) strands through a single replication cycle. This finding adds fresh support to the BIAS model.

evolutionary biology↗

bioRxiv2023

Discovery of novel multi-functional peptides by using protein language models and graph-based deep learning

Functional peptides are one kind of short protein fragments that have a wide range of beneficial functions for living organisms. The majority of previous research focused on mono-functional peptides, but a growing number of multi-functional peptides have been discovered. Although enormous experimental efforts endeavor to assay multi-functional peptides, only a small fraction of millions of known peptides have been explored. Effective and precise techniques for identifying multi-functional peptides can facilitate their discovery and mechanistic understanding. In this article, we presented a novel method, called iMFP-LG, for identifying multi-functional peptides based on protein language models (pLMs) and graph attention networks (GATs). Comparison results showed iMFP-LG significantly outperforms state-of-the-art methods on both multifunctional bioactive peptides and multi-functional therapeutic peptides datasets. The interpretability of iMFP-LG was also illustrated by visualizing attention patterns in pLMs and GATs. Regarding to the outstanding performance of iMFP-LG on the identification of multi-functional peptides, we employed iMFP-LG to screen novel candidate peptides with both ACP and AMP functions from millions of known peptides in the UniRef90. As a result, 8 candidate peptides were identified, and 1 candidate that exhibits significant antibacterial and anticancer effect was confirmed through molecular structure alignment and biological experiments. We anticipate iMFP-LG can assist in the discovery of multi-functional peptides and contribute to the advancement of peptide drug design. Availability and implementationThe models and associated code are available at: https://github.com/chen-bioinfo/iMFP-LG. Supplementary informationSupplementary data are available online.

bioinformatics↗

bioRxiv2023

Neuronal Activity-Dependent Mechanisms of Small Cell Lung Cancer Progression

Neural activity is increasingly recognized as a critical regulator of cancer growth. In the brain, neuronal activity robustly influences glioma growth both through paracrine mechanisms and through electrochemical integration of malignant cells into neural circuitry via neuron-to-glioma synapses, while perisynaptic neurotransmitter signaling drives breast cancer brain metastasis growth. Outside of the CNS, innervation of tumors such as prostate, breast, pancreatic and gastrointestinal cancers by peripheral nerves similarly regulates cancer progression. However, the extent to which the nervous system regulates lung cancer progression, either in the lung or when metastatic to brain, is largely unexplored. Small cell lung cancer (SCLC) is a lethal high-grade neuroendocrine tumor that exhibits a strong propensity to metastasize to the brain. Here we demonstrate that, similar to glioma, metastatic SCLC cells in the brain co-opt neuronal activity-regulated mechanisms to stimulate growth and progression. Optogenetic stimulation of cortical neuronal activity drives proliferation and invasion of SCLC brain metastases. In the brain, SCLC cells exhibit electrical currents and consequent calcium transients in response to neuronal activity, and direct SCLC cell membrane depolarization is sufficient to promote the growth of SCLC tumors. In the lung, vagus nerve transection markedly inhibits primary lung tumor formation, progression and metastasis, highlighting a critical role for innervation in overall SCLC initiation and progression. Taken together, these studies illustrate that neuronal activity plays a crucial role in dictating SCLC pathogenesis in both primary and metastatic sites.

cancer biology↗

bioRxiv2022

Three-dimensional molecular architecture of mouse organogenesis

Mammalian embryos have sophisticated cell organizations that are orchestrated by molecular regulation at cellular and tissue level. It has recently been appreciated that the cells that make up the animal body themselves harbor significant heterogeneity in the context of both cellular and particularly spatial dimension. However, current spatial transcriptomics profiling of embryonic tissues either lack three-dimensional representation or are restricted to limited depth and organs. Here, we reported a holistic spatial transcriptome atlas of all major organs at embryonic day 13.5 of mouse embryo and delineated a 3D rendering of the molecular regulation of embryonic patterning. By integrating with corresponding single-cell transcriptome data, the spatial organogenesis atlas provides rich molecular annotation of the dynamic organ nature, spatial cellular interaction, embryonic axes and divergence of cell fates underlying mammalian development, which would pave the way for precise organ-engineering and stem-cell based regenerative medicine.

developmental biology↗

bioRxiv2022

Cardiac performance and heat shock response variation related to shell colour morphs in the mudflat snail Batillaria attramentaria

Physiological and transcriptomic response to thermal stress were investigated in the mudflat snail Batillaria attramentaria of different shell colour morphs. Despite no difference in upper lethal temperatures among shell colour morphs, their Arrhenius breakpoint temperatures (ABT) for cardiac thermal performance differed significantly, and the ABT of snails with D type morph was higher than snails with UL type morph. The transcriptomic analysis showed that D type snails exhibit higher levels of four HSPs than UL type snails at control temperature. Unfolded protein response was activated in UL type snails but not in D type snails under moderate thermal stress. And there were 11 HSPs increased in UL type snails in contrast to 1 HSP in D type snails, suggesting a "preparative defense" strategy of heat shock response in D type snails under moderate thermal stress. When exposed to sublethal temperature, eight molecular chaperones were uniquely upregulated in D type snails, suggesting these genes may allow for D type snails improved their cardiac thermal tolerance. The "preparative defense" strategies and higher ABT of cardiac thermal performance may adapt the dark shell snails to the rapid and stronger thermal stress in the field. Our results suggested that physiological selection imposed by moderate and sublethal thermal stress, instead of upper lethal limits, may be a driving force shaping shell colour frequency in the mudflat snail B. attramentaria.

physiology↗

bioRxiv2022

A small DNA virus initiates replication with no more than three genome copies per cell

Cellular organisms purge lethal mutations as they occur (in haploids), or as soon as they become homozygous (in sexually reproducing diploids), thus making the mutation-carrying genomes the sole victims of lethality. How lethal mutations in viruses are purged remains an unresolved question because numerous viral genomes could potentially replicate in the same cell, sharing their encoded proteins, hence shielding lethal mutations from selection. Previous investigations by us and others suggest that viruses with plus strand (+) RNA genomes may compel such selection by bottlenecking the replicating genome copies in each cell to low single digits. However, it is unclear if similar bottlenecks also occur in cells invaded by DNA viruses. Here we investigated whether tomato yellow leaf curl virus (TYLCV), a small virus with a single-stranded DNA genome, underwent population bottlenecking in cells of its host plants. We engineered the TYLCV genome to produce two replicons that express green fluorescent protein and mCherry, respectively, in a replication-dependent manner. We found that less than 65% of cells penetrated by both replicons replicated both, whereas at least 35% of cells replicated either of them alone, illustrating an intracellular population bottleneck size of no more than three. Furthermore, sequential inoculations unveiled strong mutual exclusions of these two replicons in most cells. Collectively our data demonstrated for the first time that DNA viruses like TYLCV are subject to stringent intracellular population bottlenecks, suggesting that such population bottlenecks may be a virus-encoded, evolutionarily conserved trait that assures timely elimination of lethal mutations. Significance statementAn important unresolved issue in virus life cycles is how natural selection acts on individual virus copies in the same cells. Unlike cellular organisms in which genome copies with lethal or advantageous mutations usually share their hosts with no more than one homologous genome copy, viruses could potentially reproduce with numerous sister genomes per cell, permitting sharing of protein products, thereby greatly diminishing phenotypic impacts of otherwise eventful mutations. Previous investigations suggest that (+) RNA viruses solve this problem by bottlenecking the number of replicating genome copies to low single digits. The current study reveals strikingly similar intracellular population bottlenecks for a DNA virus. Further mechanistic interrogations could avail the virus-encoded bottleneck-enforcing apparatus as targets for antiviral therapy and prevention.

microbiology↗

bioRxiv2022

The antibiotic phazolicin displays a dual mode of uptake in Gram-negative bacteria

Phazolicin (PHZ) is a peptide antibiotic exhibiting narrow-spectrum activity against rhizobia closely related to its producer Rhizobium sp. Pop5. Using genetic and biochemical techniques, we here identified BacA and YejABEF as two importers of PHZ in a sensitive model strain Sinorhizobium meliloti Sm1021. BacA and YejABEF are members of SLiPT and ABC transporter families of non-specific peptide importers, respectively. The uptake of PHZ by two distinct families of transporters dramatically decreases the naturally occurring rate of resistance. Moreover, since both BacA and YejABEF are essential for the development of functional symbiosis of rhizobia with leguminous plants, the acquisition of PHZ resistance via the inactivation of transporters is further disfavoured since single bacA or yejABEF mutants are unable to propagate in root nodules. Crystal structures of the periplasmic subunit YejA from S. meliloti and Escherichia coli revealed fortuitous bound peptides, suggesting a non-specific peptide-binding mechanism that facilitates the uptake of PHZ and other antimicrobial peptides. SIGNIFICANCEMany bacteria produce antimicrobial peptides to eliminate competitors and create an exclusive niche. These peptides kill bacteria by either membrane disruption or inhibiting essential intracellular processes. The Achilles heel of the latter type of antimicrobials is their dependence on transporters to enter the susceptible bacteria since mutations in such transporters result in resistance. We describe here how the ribosome-targeting peptide phazolicin, produced by Rhizobium sp. Pop5, uses two different transporters, BacA and YejABEF, to get into the cells of the symbiotic bacterium Sinorhizobium meliloti. This dramatically reduces the probability of resistance acquisition. Both transporters need to be inactivated for phazolicin resistance acquisition. Since these transporters are also crucial in S. meliloti for its symbiotic association with host plants, their inactivation in biological settings is highly unlikely. This makes PHZ an attractive lead for the development of a biocontrol agent with potential for use in agriculture.

molecular biology↗

bioRxiv2022

Simultaneously spatiotemporal gene expression and chromatin accessibility for mouse brain development

Brain are complex biological tissues which function relies on coordinated anatomical and molecular structure comprised by a large number of specialized cells. The spatial architecture of brain which is key to the understanding of its physiological and pathological significance is formed during embryo development. However, the molecular basis for discrete neuroanatomical domains particularly in the context of spatial organization of the brain is inadequate. Here, we introduced microfluidic indexing based spatial ATAC and RNA sequencing (MISAR-seq), a method for joint profiling of chromatin accessibility and gene expression with spatial information retained in the developing mouse brain. Our study has established a direct means to spatially determine the coordination between chromatin accessibility and transcriptome, identified the chromatin potential to define cell fate determination of brain organization, and uncovered spatiotemporal regulatory principles during mammalian brain development.

developmental biology↗

bioRxiv2021

Neuronal mimicry generates an ecosystem critical for brain metastatic growth of SCLC

Brain metastasis is a major cause of morbidity and mortality in cancer patients. Here we investigated mechanisms allowing small-cell lung cancer (SCLC) cells to grow in the brain. We show that SCLC cells undergo a cell state transition towards neuronal differentiation during tumor progression and metastasis, and that this neuronal mimicry is critical for SCLC growth in the brain. Mechanistically, SCLC cells re-activate astrocytes, which in turn promote SCLC growth by secreting neuronal pro-survival factors such as SERPINE1. We further identify Reelin, a molecule important in brain development, as a factor secreted by SCLC cells to recruit astrocytes to brain metastases in mice. This recruitment of astrocytes by SCLC was recapitulated in assembloids between SCLC aggregates and human cortical spheroids. Thus, SCLC brain metastases grow by co-opting mechanisms involved in reciprocal neuron-astrocyte interactions during development. Targeting such developmental programs activated in this cancer ecosystem may help treat brain metastases.

cancer biology↗