Biology subjects

Zhou, K.

Publications and source records attributed to Zhou, K..

At least 91 records · Page 5Linked to original sources

bioRxiv2021

Torsions-Driven Root Helical Growth, Waving And Skewing In Arabidopsis

Helical growth broadly exists in immobile plants to support their limited movement, and Arabidopsis seedling root exhibiting natural left-handedness helical growth is considered as a simplified model for investigating this interesting behavior. Efforts have been made for understanding the mechanism of root helical growth and consequent root waving and skewing on tilted and impenetrable surface, and several models have been established. Here, previous reports are reviewed and a straightforward torsions-driven mechanism has been emphasized, and additional experiments have been performed to fill up the gaps of this theory in our study. This study implies that, torsions originating from handedness of both cortical microtubules and cellulose microfibrils play central role in root handed helical growth. Different from torsions directly provided by handed assembled cortical microtubules, torsions originating from right-handed assembled cellulose microfibrils are relaxed by their cross-linking with pectin within cell wall, but only exhibited when their cross-linking is interrupted due to damaged cell wall integrity. To topologically relax these torsions, supercoils of cortical microtubules and/or cellulose microfibrils exhibiting as oblique alignments are formed in root cells, which alter the orientation of root cell files and generate handed helical roots. Working together with gravitropic response, relaxation of torsions originating from helical roots drives roots to elongate with handedness, which therefore produces waved and skewed roots on tilted and impenetrable surface.

plant biology↗

bioRxiv2021

Structure and function of the chromatin remodeler SMARCAD1 with its nucleosome substrate

The ATP-dependent chromatin remodeler SMARCAD1 acts on nucleosomes during DNA repair and transcription, but despite its implication in disease, information on its structure and function is scarce. Chromatin remodelers use a variety of ways to engage nucleosomes, and outcomes of the ATP-dependent reactions vary widely. Here we show that SMARCAD1 transfers the entire histone octamer from one DNA segment to another in an ATP-dependent manner but is also capable of de novo nucleosome assembly from histone octamer, due to its ability to bind all histones simultaneously. We describe the cryoEM structure of SMARCAD1 in complex with a nucleosome and show that it engages its substrate unlike any other chromatin remodeler. Our combined data allow us to put forward a testable model for SMARCAD1 mechanism. One-Sentence SummaryThe single subunit chromatin remodeler SMARCAD1 engages nucleosomes in a unique manner and transfers the entire histone octamer.

biochemistry↗

bioRxiv2021

PRSS2 promotes tumor growth and progression by repressing Tsp-1 in the tumor microenvironment via binding to LRP1

In the earliest stages of tumor development, epithelial tumors (carcinomas) are physically confined to the area of the tissue in which they form. These nascent lesions (carcinomas in situ) are sequestered from the tissue parenchyma by the basement membrane. Within the tissue parenchyma lie a myriad of cell types comprised of fibroblasts, immune and inflammatory cells and endothelial cells. Upon invasion across the basement membrane and into the tissue parenchyma, tumors must manipulate the expression of pro- and anti-tumorigenic proteins such that pro-tumorigenic factors are produced in excess to anti-tumorigenic proteins. One such anti-tumorigenic protein is Thrombospondin-1 (Tsp-1). We have previously demonstrated that stimulation of Tsp-1 in the tumor microenvironment (TME) potently inhibits tumor growth and progression and in some cases induces tumor regression. Here, we identify a novel tumor-mediated mechanism to repress the expression of Tsp-1 in the TME via secretion of the serine protease PRSS2. We demonstrate that PRSS2 represses Tsp-1, not via its enzymatic activity, but by binding to low-density lipoprotein receptor-related protein 1 (LRP1). These findings describe a novel activity for PRSS2 through binding to LRP1 and represent a potential therapeutic strategy to treat cancer by blocking the PRSS2-mediated repression of Tsp-1.

cancer biology↗

bioRxiv2020

High-throughput Single-cell CNV Detection Reveals Clonal Evolution During Hepatocellular Carcinoma Recurrence

Single-cell genomics provides substantial resources for dissecting cellular heterogeneity and cancer evolution, but classical DNA amplification-based methods are low-throughput and introduce coverage bias during sample preamplification. We developed a single-cell DNA library preparation method without preamplification in nanolitre scale (scDPN). The method has a throughput of up to 1,800 cells per run for copy number variation (CNV) detection. Also, it has a lower level of amplification bias and noise than the multiple displacement amplification (MDA) method and showed high sensitivity and accuracy based on evaluation in cell lines and tumour tissues. We used this approach to profile the tumour clones in paired primary and relapsed tumour samples of hepatocellular carcinoma (HCC). We identified 3 clonal subpopulations with a multitude of aneuploid alterations across the genome. Furthermore, we observed that a minor clone of the primary tumour containing additional alterations in chromosomes 1q, 10q, and 14q developed into the dominant clone in the recurrent tumour, indicating clonal selection during recurrence in HCC. Overall, this approach provides a comprehensive and scalable solution to understand genome heterogeneity and evolution.

cell biology↗

bioRxiv2020

Chemoproteomics Maps Glycolytic Targetome in Cancer Cells

Hyperactivated glycolysis, favoring uncontrolled growth and metastasis by producing essential metabolic intermediates engaging bioenergetics and biosynthesis, is a metabolic hallmark of most cancer cells. Although sporadic information has revealed glycolytic metabolites also possess non-metabolic function as signaling molecules, it remains largely elusive how these metabolites interact with and functionally regulate their binding targets. Here we introduce a Target Responsive Accessibility Profiling (TRAP) approach that measures ligand binding-induced steric hindrance in protein targets via global profiling accessibility changes in reactive lysines, and mapped 913 target candidates and 2,487 interactions for 10 major glycolytic metabolites in cancer cells via TRAP. The elucidated targetome uncovers diverse regulatory modalities of glycolytic metabolites involving the direct perturbation of carbohydrate metabolism enzymes, intervention of transcriptional control, modulation of proteome-level acetylation and protein complex assemblies. The advantages gained from glycolysis by cancer cells are expanded by discovering lactate as a ligand for an orphan transcriptional regulator TRIM 28 that promotes p53 degradation, and by identifying pyruvate acting against a cell apoptosis inducer trichostatin A via attenuating protein acetylation. Lastly, the inhibition of glycolytic key enzymes led to identify an intrinsically active glycolytic intermediate glyceraldehyde 3-phosphate that elicits its cytotoxicity by engaging with ENO1 and MTHFD1. Collectively, the glycolytic targetome depicted by TRAP constitutes a fertile resource for understanding how glycolysis finely tunes metabolism and signaling in support of cancer cells, and fostering the exploitation of glycolytic targetome as promising nodes for anti-cancer therapeutics development.

cancer biology↗

bioRxiv2020

Characterization of a clinical Enterobacter hormaechei strain belonging to epidemic clone ST418 co-carrying blaNDM-1, blaIMP-4 and mcr-9.1

An Enterobacter hormaechei isolate (ECL-90) simultaneously harboring blaNDM-1, blaIMP-4 and mcr-9.1 was recovered from the secretion specimen of a 24-year-old male patient in a tertiary hospital in China. The whole genome sequencing of this isolate was complete, and 4 circular plasmids with variable sizes were detected. MLST analysis assigned the isolate to ST418, known as a carbapenemase-producing epidemic clone in China. blaIMP-4 and mcr-9.1 genes were co-carried on an IncHI2/2A plasmid (pECL-90-2) and blaNDM-1 was harbored by an IncX3 plasmid (pECL-90-3). The genetic context of mcr-9.1 was identified as a prevalent structure, "rcnR-rcnA-pcoE-pcoS-IS903-mcr-9-wbuC", which is a relatively unitary model involved in the mobilization of mcr-9. Meanwhile, blaNDM-1 gene was detected within a globally widespread structure known as NDM-GE-U.S ("ISAba125- blaNDM-1-blaMBL"). Our study warrants that the convergence of genes mediating resistance to last-resort antibiotics in epidemic clones would largely facilitate their widespread in clinical settings, thus representing a potential challenge to clinical treatment and public health. ImportanceCarbapenemase-producing Enterobacteriaceae (CPE) spread at a high rate and colistin is the last-resort therapeutic for the infection caused by CPE. However, the emergence of plasmid-borne mcr genes highly facilitates the wide dissemination of colistin resistance, thus largely threatens the clinical use of colistin. Here, we for the first time characterized a clinical Enterobacter hormaechei strain co-producing blaNDM-1, blaIMP-4 and mcr-9.1 belonging to an epidemic clone (ST418). The accumulation of genes mediating resistance to last-resort antibiotics in epidemic clones would largely facilitate their widespread in clinical settings, which may cause disastrous consequence with respect to antimicrobial resistance. Understanding how resistance genes were accumulated in a single strain could help us to track the evolutionary trajectory of drug resistance. Our finding highlights the importance of surveillance on the epidemic potential of colistin-resistant CPE, and effective infection control measures to prevent the resistance dissemination.

microbiology↗

bioRxiv2020

Dual symbiosis in the deep-sea hydrothermal vent snail Gigantopelta aegis revealed by its hologenome

Animals endemic to deep-sea hydrothermal vents often form obligatory relationships with bacterial symbionts, maintained by intricate host-symbiont interactions. Endosymbiosis with more than one symbiont is uncommon, and most genomic studies focusing on such dual symbiosis systems have not investigated the host and the symbionts to a similar depth simultaneously. Here, we report a novel dual symbiosis among the peltospirid snail Gigantopelta aegis and its two Gammaproteobacteria endosymbionts - one being a sulphur oxidiser and the other a methane oxidiser. We assembled high-quality genomes for all three parties of this holobiont, with a chromosome-level assembly for the snail host (1.15 Gb, N50 = 82 Mb, 15 pseudo-chromosomes). In-depth analyses of these genomes reveal an intimate mutualistic relationship with complementarity in nutrition and metabolic codependency, resulting in a system highly versatile in transportation and utilisation of chemical energy. Moreover, G. aegis has an enhanced immune capability that likely facilitates the possession of more than one type of symbiont. Comparisons with Chrysomallon squamiferum, another chemosymbiotic snail in the same family but only with one sulphur-oxidising endosymbiont, show that the two snails sulphur-oxidising endosymbionts are phylogenetically distant, agreeing with previous results that the two snails have evolved endosymbiosis independently and convergently. Notably, the same capabilities of biosynthesis of specific nutrition lacking in the host genome are shared by the two sulphur-oxidising endosymbionts of the two snail genera, which may be a key criterion in the selection of symbionts by the hosts.

genomics↗

bioRxiv2020

Synapsin-caveolin-1 mitigates cognitive deficits and neurodegeneration in Alzheimer's disease mice

AD presents with severe neurodegeneration which leads to cognitive deficits and dementia. Identifying the molecular signals that attenuate neurodegeneration in AD may be exploited as therapeutic targets. This study revealed that transgenic AD mice (PSAPP) exhibit decreased caveolin-1 (Cav-1), a membrane/lipid raft (MLR) scaffolding protein that organizes synaptic signaling components. Subcellularly, Cav-1 and full length (fl)-TrkB were significantly decreased in MLRs. We thus developed an in vivo gene therapy that re-expresses neuronal-targeted Cav-1 using the synapsin promoter (SynCav1). While AD mice showed significant learning and memory deficits at 9 and 11 months, AD mice that received hippocampal SynCav1 (AD-SynCav1) maintained normal learning and memory at 9 and 11 months respectively. Furthermore, AD-SynCav1 mice showed preserved hippocampal MLR-localized fl-TrkB, synaptic ultrastructure, dendritic arborization and axonal myelin content, all of which occurred independent of reducing amyloid deposit and astrogliosis. Thus, SynCav1 demonstrates translational potential to treat AD by delaying neurodegeneration. SummaryTransgenic PSAPP mice exhibit decreased hippocampal expression of the membrane lipid raft (MLR) scaffolding protein caveolin-1. Synapsin-promoted re-expression of Cav-1 (termed SynCav1) mitigated neuropathology and cognitive deficits. SynCav1 gene therapy has the potential to treat AD and other forms of neurodegeneration.

neuroscience↗

bioRxiv2020

Identification of novel tetracycline resistance gene tet(X14) and its co-occurrence with tet(X2) in a tigecycline-resistant and colistin-resistant Empedobacter stercoris

Tigecycline is one of the last-resort antibiotics to treat severe infections. Recently, tigecycline resistance has sporadically emerged with an increasing trend, and Tet(X) family represents a new resistance mechanism of tigecycline. In this study, a novel chromosome-encoded tigecycline resistance gene, tet(X14), was identified in a tigecycline-resistant and colistin-resistant Empedobacter stercoris strain ES183 recovered from a pig fecal sample in China. Tet(X14) shows 67.14-96.39% sequence identity to the other variants [Tet(X) to Tet(X13)]. Overexpression of Tet(X14) in Escherichia coli confers 16-fold increase in tigecycline MIC (from 0.125 to 2 mg/L), which is lower than that of Tet(X3), Tet(X4) and Tet(X6). Structural modelling predicted that Tet(X14) shared a high homology with the other 12 variants with RMSD value from 0.003 to 0.055, and Tet(X14) can interact with tetracyclines by a similar pattern as the other Tet(X)s. tet(X14) and two copies of tet(X2) were identified on a genome island with abnormal GC content carried by the chromosome of ES183, and no mobile genetic elements were found surrounding, suggesting that tet(X14) might be heterologously obtained by ES183 via recombination. Blasting in Genbank revealed that Tet(X14) was exclusively detected on the chromosome of Riemerella anatipestifer, mainly encoded on antimicrobial resistance islands. E. stercoris and R. anatipestifer belong to the family Flavobacteriaceae, suggesting that the members of Flavobacteriaceae maybe the major reservoir of tet(X14). Our study reports a novel chromosome-encoded tigecycline resistance gene tet(X14). The expanded members of Tet(X) family warrants the potential large-scale dissemination and the necessity of continuous surveillance for tet(X)-mediated tigecycline resistance.

genetics↗

bioRxiv2020

Aspiration-assisted Freeform Bioprinting of Tissue Spheroids in a Yield-stress Gel

Bioprinting of cellular aggregates, such as tissue spheroids or organoids, in complex three-dimensional (3D) arrangements has been a major obstacle for scaffold-free fabrication of tissues and organs. In this research, we unveiled a new approach to the bioprinting of tissue spheroids in a yield stress granular gel, which exhibited unprecedented capabilities in freeform positioning of spheroids in 3D. Due to its Herschel-Bulkley and self-healing properties as well as its biological inertness, the granular gel supported both the positioning and self-assembly of tissue spheroids. We studied the underlying physical mechanism of the approach to elucidate the interactions between the aspirated spheroids and the gels yield-stress during the transfer of spheroids from cell media to the gel. We demonstrate the application of the proposed approach in the realization of various freeform shapes and self-assembly of human mesenchymal stem cell spheroids for the construction of cartilage and bone tissues.

bioengineering↗

bioRxiv2020

Silent dissemination of plasmid-borne tigecycline resistance gene tet(X6) in livestock-associated Acinetobacter towneri

A tigecycline-resistance gene, tet(X6), was detected on a 159-kb novel plasmid carried by a tigecycline-susceptible livestock-associated Acinetobacter towneri isolate. The genetic context of tet(X6) ({Delta}ISVsa3-tet(X6)-abh-guaA-ISVsa3) is highly similar with that of the other plasmid-borne tet(X) variants. The 23-Ala residue of the first FAD binding site conferred higher activity to Tet(X6) than the 23-Gly reside conserved in the other plasmid-borne tet(X)s. To our knowledge, this is the first report of tet(X6) carried by the plasmid.

genetics↗

bioRxiv2020

Constructing an ethanol utilization pathway in Escherichia coli to produce acetyl-CoA derived compounds

Engineering microbes to utilize non-conventional substrates could create short and efficient pathways to convert substrate into product. In this study, we designed and constructed a two-step heterologous ethanol utilization pathway (EUP) in Escherichia coli by using acetaldehyde dehydrogenase (encoded by ada) from Dickeya zeae and alcohol dehydrogenase (encoded by adh2) from Saccharomyces cerevisiae. This EUP can convert ethanol into acetyl-CoA without ATP consumption, and generate two molecules of NADH per molecule of ethanol. We optimized the expression of these two genes and found that ethanol consumption could be improved by expressing them in a specific order (ada-adh2) with a constitutive promoter (PgyrA). The engineered E. coli strain with EUP consumed approximately 8 g/L of ethanol in 96 hours when it was used as sole carbon source. Subsequently, we combined EUP with the biosynthesis of polyhydroxybutyrate (PHB), a biodegradable polymer derived from acetyl-CoA. The engineered E. coli strain carrying EUP and PHB biosynthetic pathway produced 1.1 g/L of PHB from 10 g/L of ethanol and 1 g/L of aspartate family amino acids in 96 hours. We also engineered E. coli strain to produced 24 mg/L of prenol from 10 g/L of ethanol in 48 hours, supporting the feasibility of converting ethanol into different classes of acetyl-CoA derived compounds. HighlightsO_LIEngineered Escherichia coli strains to grow on ethanol as sole carbon source C_LIO_LIDemonstrated that ethanol was converted into acetyl-CoA (AcCoA) through two pathways (acetaldehyde-acetate-AcCoA and acetaldehyde-AcCoA) C_LIO_LIConverted ethanol into two acetyl-CoA derived products with low structural similarity (polyhydroxybutyrate and prenol) C_LIO_LIDiscovered that supplementation of the aspartate family amino acids can substantially improve cell growth on ethanol C_LI

bioengineering↗

bioRxiv2020

Dynamic Laser Speckle Imaging meets Machine Learning to enable Rapid Antibacterial Susceptibility Testing (DyRAST)

Rapid antibacterial susceptibility testing (RAST) methods which measure change of a bacterial phenotype in response to a given treatment are of significant importance in healthcare, as they can assist care-givers in timely administration of the right treatment. Various RAST techniques have been reported for tracking bacterial phenotypes, such as size, shape, motion, and metabolic activity. However, they still require bulky and expensive instruments (which hinders their application in resource-limited environments) and/or utilize labeling reagents (which can interfere with antibiotics and add to cost). Furthermore, the existing ultra-rapid methods do not address possible adaptation of gradual adaptation of bacteria to antibiotics, which can lead to false interpretation of resistance when using ultra-rapid methods. In this work, we present a RAST approach leveraging machine learning analysis of time-resolved dynamic laser speckle imaging (DLSI) results to accurately predict the minimum inhibitory concentration (MIC) of a model strain of Escherichia coli in 60 minutes, compared to 6 hours using the currently FDA-approved phenotype-based RAST technique. To demonstrate the DLSI performance, we studied the effect of a {beta}-lactam ampicillin and an aminoglycoside gentamicin on Escherichia coli strain K-12. DLSI captures change of bacterial motion/division in response to treatment. The machine learning algorithm was trained and validated using the overnight results of gold standard, broth microdilution method. Empowered by machine learning, DyRAST can predict MIC with high accuracy comparable to gold standard methods through a voting strategy.

microbiology↗

bioRxiv2020

Sorting liposomes of distinct sizes by DNA-brick assisted centrifugation

The "tiny bubbles of fluid" wrapped by lipid-bilayer membranes, termed vesicles, are abundant in cells and extracellular space, performing critical tasks including nutrient uptake, cargo transport, and waste confinement. Vesicles on different missions and transport routes are often distinct both in size and in chemical composition, which confers specificity to their interactions with other membranous compartments. Therefore, to accurately recapitulate the vesicles structure and behavior, it is important to use homogeneous liposomes (vesicles made of synthetic components) with precisely defined attributes as model membranes. Although existing methods can generate liposomes of selected sizes with reasonable homogeneity, the scalable production of uniformly-sized liposomes across a wide range of dimensions and compositions remains challenging. Here we report a streamlined, high-throughput sorting technique that uses cholesterol-modified "nanobricks" made of a few DNA oligonucleotides to differentiate hetero-sized liposomes by their buoyant densities. After DNA-brick coating, milligrams of liposomes of different origins (e.g., produced via extrusion or sonication, and reconstituted with membrane proteins) can be separated by centrifugation into six to eight homogeneous populations with mean diameters from 30 to 130 nm. In proof of concept experiments, we show that these uniform, leak-free liposomes are ideal substrates to study, with an unprecedented resolution, how membrane curvature influences the activity of peripheral (ATG3) and integral (SNARE) membrane proteins. We anticipate that our sorting technique will facilitate the quantitative understanding of membrane curvature in vesicular transport. Furthermore, adding a facile and standardized separation step to the conventional liposome preparation pipeline may benefit the formulation and prototyping of liposomal drug-carrying vehicles.

biophysics↗

bioRxiv2019

The α-synuclein hereditary mutation E46K unlocks a more stable, pathogenic fibril structure

Aggregation of -synuclein is a defining molecular feature of Parkinsons disease, Lewy Body Dementia, and Multiple Systems Atrophy. Hereditary mutations in -synuclein are linked to both Parkinsons disease and Lewy Body Dementia; in particular, patients bearing the E46K disease mutation manifest a clinical picture of parkinsonism and Lewy Body Dementia, and E46K creates more pathogenic fibrils in vitro. Understanding the effect of these hereditary mutations on -synuclein fibril structure is fundamental to -synuclein biology. We therefore determined the cryoEM structure of -synuclein fibrils containing the hereditary E46K mutation. The 2.5 [A] structure reveals a symmetric double protofilament in which the molecules adopt a vastly re-arranged, lower energy fold compared to wild-type fibrils. We propose that the E46K misfolding pathway avoids electrostatic repulsion between K46 and K80, a residue pair which forms the E46-K80 salt-bridge in the wild-type fibril structure. We hypothesize that under our conditions the wild-type fold does not reach this deeper energy well of the E46K fold because the E46-K80 salt bridge diverts -synuclein into a kinetic trap - a shallower, more accessible energy minimum. The E46K mutation apparently unlocks a more stable and pathogenic fibril structure. Significance StatementParkinsons is the second most prevalent neurodegenerative condition, leading to movement disorders, and dementia in some cases. Because of the strong association of this condition with amyloid aggregates of the protein -synuclein, structural understanding of these amyloid aggregates may be the path to eventual therapies. Our study of the structure of a variant -synuclein inherited in families afflicted with a clinical picture of parkinsonism and Lewy Body Dementia supplements recent structures of the wild type structure, and shows how a single residue change can result in a greatly changed structure that may underlie the inherited form of the disease.

biochemistry↗

bioRxiv2019

HIV-1 Envelope and MPER antibody structures in lipid assemblies

Structural and functional studies of HIV Env as a transmembrane protein have long been complicated by challenges associated with inherent flexibility of the molecule and the membrane-embedded hydrophobic regions. Thus, most structural studies have utilized soluble forms where the regions C-terminal to the ectodomain are deleted. Here, we present approaches for incorporating full-length, wild-type HIV-1 Env, as well as C-terminally truncated and stabilized versions, into lipid assemblies, providing a modular platform for Env structural studies by single particle electron microscopy. We reconstituted a full-length Env clone into a nanodisc with MSP1D1 scaffold, complexed it with an MPER targeting antibody 10E8, and structurally defined the full quaternary epitope of 10E8 consisting of lipid, MPER and ectodomain contacts. By aligning this and other Env-MPER antibody complex reconstructions with the lipid bilayer, we observe evidence of Env tilting as part of the neutralization mechanism for MPER-targeting antibodies. We also adapted the platform toward vaccine design purposes by introducing stabilizing mutations that allow purification of unliganded Env with peptidisc scaffold.

immunology↗

bioRxiv2019

Neuronal transcriptome analyses reveal novel neuropeptide modulators of excitation and inhibition imbalance in C. elegans

Neuropeptides are secreted molecules that have conserved roles modulating many processes, including mood, reproduction, and feeding. Dysregulation of neuropeptide signaling is also implicated in neurological disorders such as epilepsy. However, much is unknown about the mechanisms regulating specific neuropeptides to mediate behavior. Here, we report that the expression levels of dozens of neuropeptides are up-regulated in response to circuit activity imbalance in C. elegans. acr-2 encodes a homolog of human nicotinic receptors, and functions in the cholinergic motoneurons. A hyperactive mutation, acr-2(gf), causes an activity imbalance in the motor circuit. We performed cell-type specific transcriptomic analysis and identified genes differentially expressed in acr-2(gf), compared to wild type. The most over-represented class of genes are neuropeptides, with insulin-like-peptides (ILPs) the most affected. Moreover, up-regulation of neuropeptides occurs in motoneurons, as well as sensory neurons. In particular, the induced expression of the ILP ins-29 occurs in the BAG neurons, which are previously shown to function in gas-sensing. We also show that this up-regulation of ins-29 in acr-2(gf) animals is activity-dependent. Our genetic and molecular analyses support cooperative effects for ILPs and other neuropeptides in promoting motor circuit activity in the acr-2(gf) background. Together, this data reveals that a major transcriptional response to motor circuit dysregulation is in up-regulation of multiple neuropeptides, and suggests that BAG sensory neurons can respond to intrinsic activity states to feedback on the motor circuit.\n\nAUTHOR SUMMARYNeuropeptides are secreted small molecules that regulate a variety of neuronal functions and are also implicated in many diseases. However, it remains poorly understood how expression of neuropeptides is regulated, particularly in disease states. Using a genetic animal model that mimics epilepsy, we identified dozens of neuropeptides that are up-regulated when neuronal activities are altered. Some of these neuropeptides share similarity to insulin-like properties (ILPs). Strikingly, one of these ILPs is expressed in sensory neurons that normally respond to acute carbon dioxide exposure. We show that the mis-regulation of this ILP expression is activity-dependent. Moreover, these neuropeptides act in concert to modulate animal behaviors. The findings in this study provide further evidence that neuropeptides are key mediators of aberrant cholinergic signaling, and suggest complex neural network effects from sensory neurons onto motor function.

genetics↗

bioRxiv2019

Improve Protein Solubility and Activity based on Machine Learning Models

Improving catalytic ability of protein biocatalysts leads to reduction in the production cost of biocatalytic manufacturing process, but the search space of possible proteins/mutants is too large to explore exhaustively through experiments. To some extent, highly soluble recombinant proteins tend to exhibit high activity. Here, we demonstrate that an optimization methodology based on machine learning prediction model can effectively predict which peptide tags can improve protein solubility quantitatively. Based on the protein sequence information, a support vector machine model we recently developed was used to evaluate protein solubility after randomly mutated tags were added to a target protein. The optimization algorithm guided the tags to evolve towards variants that can result in higher solubility. Moreover, the optimization results were validated successfully by adding the tags designed by our optimization algorithm to a model protein, expressing it in vivo and experimentally quantifying its solubility and activity. For example, solubility of a tyrosine ammonium lyase was more than doubled by adding two tags to its N- and C-terminus. Its protein activity was also increased nearly 3.5 fold by adding the tags. Additional experiments also supported that the designed tags were effective for improving activity of multiple proteins and are better than previously reported tags. The presented optimization methodology thus provides a valuable tool for understanding the correlation between amino acid sequence and protein solubility and for engineering protein biocatalysts.\n\nContactkang.zhou@nus.edu.sg, chewxia@nus.edu.sg

bioinformatics↗