Biology subjects

Li, S.

Publications and source records attributed to Li, S..

At least 667 records · Page 37Linked to original sources

bioRxiv2023

Ependymocytes control cerebrospinal fluid flow to the peripheral organs through periaxonal pathway

Mechanisms controlling movement of the CSF through the central canal towards the peripheral nerves are poorly characterized. We found that fluorescent dyes injected into cisterna magna are carried with cerebrospinal fluid (CSF) through the central canal and peripheral nerves to the peripheral organs such as liver, and pancreas. We also found close connection between spinal axons and ependymocytes, suggesting synaptic interactions. Serotonin, acting through the 5-HT2B receptors abundantly expressed in ependymal cells, trigger Ca2+ signal that induces polymerization of cytoskeleton protein F-actin, consequently reducing the volume of ependymocytes. Shrinkage of the latter opens one-way route to facilitate CSF outflow from the central canal into the spinal cord parenchyma and peripheral nerves. In liver, CSF is received by stellate cells. Ependymal control over transfer of the CSF from central canal to peripheral organs by the periaxonal space (PAS) represents a novel mechanism dynamically connecting the CNS with the periphery. In briefEpendymocytes control CSF flow from CNS to peripheral organs by periaxonal pathway, and serotonin evokes the ependymal shrinkage by the aggregation of F-actin. HighlightsEpendymocytes control CSF flow from central canal to peripheral organs; CSF flows through the peripheral periaxonal space to reach the peripheral organs; Serotonin makes ependymocytes shrunk by 5-HT2B receptor-mediated Ca2+ signaling and F-actin polymerization; The hepatic stellate cells are potential collectors of CSF in the liver.

neuroscience↗

bioRxiv2023

New realm of precision multiplexing enabled by massively-parallel single molecule UltraPCR

PCR has been a reliable and inexpensive method for nucleic acid detection in the past several decades. In particular, multiplex PCR is a powerful tool to analyze many biomarkers in the same reaction, thus maximizing detection sensitivity and reducing sample usage. However, balancing the amplification kinetics between amplicons and distinguishing them can be challenging, diminishing the broad adoption of high order multiplex PCR panels. Here, we present a new paradigm in PCR amplification and multiplexed detection using UltraPCR. UltraPCR utilizes a simple centrifugation workflow to split a PCR reaction into [~]34 million partitions, forming an optically clear pellet of spatially separated reaction compartments in a PCR tube. After in situ thermocycling, light sheet scanning is used to produce a 3D reconstruction of the fluorescent positive compartments within the pellet. At typical sample DNA concentrations, the magnitude of partitions offered by UltraPCR dictate that the vast majority of target molecules occupy a compartment uniquely. This single molecule realm allows for isolated amplification events, thereby eliminating competition between different targets and generating unambiguous optical signals for detection. Using a 4-color optical setup, we demonstrate that we can incorporate 10 different fluorescent dyes in the same UltraPCR reaction. We further push multiplexing to an unprecedented level by combinatorial labeling with fluorescent dyes -- referred to as "comboplex" technology. Using the same 4-color optical setup, we developed a 22-target comboplex panel that can detect all targets simultaneously at high precision. Collectively, UltraPCR has the potential to push PCR applications beyond what is currently available, enabling a new class of precision genomics assays.

biophysics↗

bioRxiv2023

The serine/threonine kinase CcAkt regulates the fertility of Coridius chinensis

Akt (also known as protein kinase B) belongs to the multifunctional serine/threonine kinase family and is an important component of the insulin signaling pathway that plays a key role in many biological processes such as cell growth, proliferation, and survival. However, few studies have reported the effect of Akt on reproduction in Hemiptera. In this study, we cloned and characterized the Akt gene from Coridius chinensis (CcAkt). The open reading frame of CcAkt has a length of 1,563 bp and encodes 520 amino acids. It has a conserved pleckstrin homology domain, a serine/threonine protein kinase catalytic domain, and a serine/threonine protein kinase domain. Phylogenetic analysis showed that CcAkt and HhAkt of Halyomorpha halys had the highest similarity. Analysis of temporal and spatial expression patterns revealed that CcAkt is expressed throughout development and in various tissues of C. chinensis adults. CcAkt expression was high in female adult and the fourth instar nymph stage of C. chinensis. In C. chinensis adult, CcAkt expression was highest in the testis and ovary. Injection of bovine insulin induced CcAkt expression, whereas that of 20-hydroxyecdysone significantly reduced CcAkt expression. Both hormones, however, induced the expression of vitellogenin (Vg) and vitellogenin receptor (VgR). In unmated females, CcAkt knockout resulted in decreased expression of CcVg and CcVgR, stunted the development of the ovarioles, decreased the number of eggs and hatching rate. These findings suggest that CcAkt may be involved in regulating the reproduction of C. chinensis.

molecular biology↗

bioRxiv2023

Natural malaria infection elicits rare but potent neutralizing antibodies to the blood-stage antigen RH5

Plasmodium falciparum RH5 is the most advanced blood-stage malaria vaccine candidate and is under evaluation for efficacy in endemic regions, emphasizing the need to study the underlying antibody response to RH5 during natural infection. Here, we found that RH5-reactive B cells were rare in malaria-exposed individuals despite repeated infections over multiple years. RH5-specific monoclonal antibodies isolated from these individuals were extensively mutated but mostly targeted non-neutralizing epitopes, in contrast to antibodies from RH5-vaccinated, malaria-naive individuals. However, infection-derived MAD8-151 and MAD8-502 were among the most potent neutralizers out of 186 antibodies isolated from both cohorts and target the same epitopes as the most effective vaccine-induced antibodies. Binding to basigin receptor-proximal epitopes was the primary factor governing the potency of RH5-specific antibodies from both natural infection and vaccination, followed by the strength of binding. These results indicate a clear strategy for the development of next-generation RH5 vaccines for use in malaria-endemic regions.

immunology↗

bioRxiv2023

High-throughput single-nucleus hybrid sequencing reveals genome-transcriptome correlations in cancer

To deepen our understanding of cancer heterogeneity and uncover the dynamic interactions of tumor and host cells, we introduce hybrid BAG-seq: a high-throughput, multi-omic method that simultaneously captures DNA and RNA from tens of thousands of individual single nuclei. This method provides dual molecular layer information: DNA to distinguish tumor from stroma, identify tumor subclones, and detect mutant stromal sub-populations; and RNA to characterize distinct cell types, cell states, and signatures of aberrant expression. Additionally, we developed a suite of analysis tools to illuminate cluster phylogeny and connections between DNA identity and RNA expression. We applied this hybrid protocol to 65,499 single nuclei from samples of five uterine cancer patients, and validated the clustering using RNA-only and DNA-only protocols on 34,651 and 21,432 nuclei, respectively, from the same tissues. Multiple tumor genome or expression clusters were often present within a patient, with different tumor clones projecting into distinct or shared expression states, demonstrating nearly all possible genome-transcriptome correlations across the cohort. While tumor expression profiles were highly unique to each patient, the stromal cell types generally recurred across samples, but certain patients and tissues exhibited unique stromal sub-types characterized by aberrant expression. Moreover, we identified mutant stroma in various cell types from several patients with a significant loss of the X-chromosome. This study reveals the complex landscape of genome and transcriptome interactions at the resolution of single nuclei, providing new insights into mutant stroma and tumor heterogeneity.

genomics↗

bioRxiv2023

Modular RNA motifs for orthogonal phase separated compartments

Recent discoveries in biology have highlighted the importance of protein and RNA-based condensates as an alternative to classical membrane-bound organelles for the task of compartmentalizing molecules and biochemical reactions. Here, we demonstrate the rational design of pure RNA condensates from star-shaped RNA motifs. We generate condensates using two different RNA nanostar architectures: multi-stranded nanostars whose binding interactions are programmed via single-stranded overhangs, and single-stranded nanostars whose interactions are programmed via kissing loops. Through rational design of the nanostar interaction sequences, we demonstrate that both architectures can produce orthogonal (distinct and immiscible) condensates, which can be individually tracked via fluorogenic aptamers. We also show that aptamers make it possible to recruit peptides and proteins to the condensates with high specificity. Successful cotranscriptional formation of condensates from single-stranded nanostars suggests that they may be genetically encoded and produced in living cells. We provide a library of orthogonal RNA condensates that can be modularly customized and offer a route toward creating systems of functional artificial organelles.

synthetic biology↗

bioRxiv2023

High diversity, abundance and expression of hydrogenases in groundwater

Hydrogen may be the most important electron donor available in the subsurface. Here we analyze the diversity, abundance and expression of hydrogenases in 5 proteomes, 25 metagenomes and 265 amplicon datasets of groundwaters with diverse geochemistry. A total of 1,772 new [NiFe]-hydrogenase gene sequences were recovered, which almost doubled the number of sequences in a widely used database. [NiFe]-hydrogenases were highly abundant, almost as abundant as the DNA-directed RNA polymerase. The abundance of hydrogenase genes increased with depth from 0 to 129 m. Hydrogenases were present in 502 out of 1,245 metagenome-assembled-genomes. The populations with hydrogenases accounted for [~]50% of all populations. Hydrogenases were actively expressed, making up as much as 5.9% of methanogen proteomes. Most of the newly discovered diversity of hydrogenases was in "Group 3b", which was linked to sulfur metabolism. "Group 3d" was the most abundant, which was previously linked to fermentation, but we observed this group mainly in methanotrophs and chemoautotrophs. "Group 3a", associated with methanogenesis, was the most active in proteomes. Two newly discovered groups of [NiFe]-hydrogenases further expanded the biodiversity. Our results highlight the vast diversity, abundance and expression of hydrogenases in the sampled groundwaters, suggesting a high potential for hydrogen oxidation in subsurface habitats.

microbiology↗

bioRxiv2023

NanoBERTa-ASP: Predicting Nanobody Binding Epitopes Based on a Pretrained RoBERTa Model

Nanobodies, also known as VHH or single-domain antibodies, are a unique class of antibodies that consist only of heavy chains and lack light chains. Nanobodies possess the advantages of both small molecule drugs and conventional antibodies, making them a promising class of therapeutic biopharmaceuticals. Studying the characteristics of nanobody sequences can aid the development and design of nanobodies. An important challenge in this field is accurately predicting the binding sites between nanobodies and antigens. The binding site is the region where the nanobody interacts with the antigen. The precise prediction of these binding sites is crucial for comprehending the interaction mechanism between the nanobody and the antigen, facilitating the design of effective nanobodies, as well as gaining valuable insights into the properties of nanobodies. Nanobodies typically have smaller and more flexible binding sites than traditional antibodies, however predictive models trained on traditional antibodies may not be suitable for nanobodies. Moreover, the limited availability of antibodyderived nanobody datasets for deep learning poses challenges in constructing highly accurate predictive models that can generalize well to unseen data. To address these challenges, we propose a novel nanobody prediction model, named NanoBERTa-ASP (Antibody Specificity Prediction), which is specifically designed for predicting nanobody-antigen binding sites. The model adopts a training strategy more suitable for nanobodies by leveraging an advanced natural language processing (NLP) model called BERT (Bidirectional Encoder Representations from Transformers). The model also utilizes a masked language modeling approach to learn the contextual information of the nanobody sequence and predict its binding site. The results obtained from training NanoBERTa-ASP on nanobodies highlight its exceptional performance in Precision and AUC, underscoring its proficiency in capturing sequence information specific to nanobodies and accurately predicting their binding sites. Furthermore, our model can provide insights into the interaction mechanisms between nanobodies and antigens, contributing to a better understanding of nanobodies, as well as accelerating the development and design of nanobodies with potential therapeutic applications. To the best of our knowledge, NanoBERTa-ASP is the first nanobody language model that achieved high accuracy in predicting the binding sites. Github repositoryhttps://github.com/WangLabforComputationalBiology/NanoBERTa-ASP

bioinformatics↗

bioRxiv2023

Synthesis, Insertion and Characterization of SARS-CoV-2 Membrane Protein Within Lipid Bilayers

SUMMARY/ABSTRACTThe membrane protein (M) is the most abundant structural protein in the SARS-CoV-2 virus and functions exclusively as a membrane-embedded homodimer. M protein is required for the formation of the SARS-CoV-2 virus particle and has been shown to interact with the Spike and Envelope proteins, as well as the RNA-packaging Nucleocapsid protein. Our knowledge of M protein is very limited due to its small size and challenges in expressing enough protein for use in structural and biophysical experiments. We report the successful development of a SUMO tag-based expression system to produce and purify significant quantities of M protein, and a method to insert the synthesized dimers into a suspended lipid membrane in a homogeneous orientation. We used AFM and Cryo-EM to image individual membrane-bound M protein dimers and characterize the configurations that they can assume. Our experimental results are in agreement with our molecular dynamics simulations which predict thinning of the membrane around the M protein and a propensity to induce local membrane curvature. Taken together, our results shed new light on M protein properties within the lipid bilayer and suggest mechanisms that could contribute to viral assembly and budding.

biophysics↗

bioRxiv2023

Nanotope: A Graph Neural Network-Based Model for Nanobody paratope prediction

Nanobodies are artificial antibodies derived from the immune system of camelid species, obtained through artificial processing and isolation of antigen-binding proteins. Their small molecular size and high specificity endow nanobodies with extensive potential applications in various fields. However, determining nanobody paratopes through experimental methods is both costly and time-consuming, while traditional computational approaches often lack sufficient accuracy. To enhance the prediction accuracy, we propose Nanotope, a structurebased model capable of efficiently and accurately predicting paratopes, utilizing graph neural networks and an antibody pretrained language model. Our approach primarily leverages sequence features obtained from the AntiBERTy antibody pretrained language model and three-dimensional spatial structure features of nanobodies as inputs. Employing one-dimensional convolution, EGConv graph convolution, and GATConv convolution, we predict the probability of nanobody paratopes with a much higher accuracy. Our method significantly improves the prediction of nanobody paratopes and requires only nanobody sequences and structural information, without the need for additional antigen information. Source code is freely available at https://github.com/WangLabforComputationalBiology/Nanotope

bioinformatics↗

bioRxiv2023

CellPolaris: Decoding Cell Fate through Generalization Transfer Learning of Gene Regulatory Networks

Cell fate changes are determined by gene regulatory network (GRN), a sophisticated system regulating gene expression in precise spatial and temporal patterns. However, existing methods for reconstructing GRNs suffer from inherent limitations, leading to compromised accuracy and application generalizability. In this study, we introduce CellPolaris, a computational system that leverages transfer learning algorithms to generate high-quality, cell-type-specific GRNs. Diverging from conventional GRN inference models, which heavily rely on integrating epigenomic data with transcriptomic information or adopt causal strategies through gene co-expression networks, CellPolaris employs high-confidence GRN sources for model training, relying exclusively on transcriptomic data to generate previously unknown cell-type-specific GRNs. Applications of CellPolaris demonstrate remarkable efficacy in predicting master regulatory factors and simulating in-silico perturbations of transcription factors during cell fate transition, attaining state-of-the-art performance in accurately predicting candidate key factors and outcomes in cell reprogramming and spermatogenesis with validated datasets. It is worth noting that, with a transfer learning framework, CellPolaris can perform GRN based predictions in all cell types even across species. Together, CellPolaris represents a significant advancement in deciphering the mechanisms of cell fate regulation, thereby enhancing the precision and efficiency of cell fate manipulation at high resolution.

bioinformatics↗

bioRxiv2023

Intronic miR342 is a master regulator of cellular glycolysis in Foxp3+ regulatory CD4 T cells

Foxp3+ regulatory T (Treg) cells are a subset of CD4 T cells that play a potent and indispensable role in regulating immunity and tolerance. The precise mechanisms by which Treg cells mediate such functions have extensively been explored, and there are many cellular and molecular factors that are instrumental for adequate Treg cell functions. miRNAs, small non-coding RNA molecules, are one of the factors capable of controlling Treg cell functions. In this study, we report that miR-342 is essential for Treg cells to mitigate autoimmune inflammation in the central nervous system. Utilizing novel mouse models with Treg cell-specific miR-342 deficiency or overexpression, we demonstrate that miR-342 expression in Treg cells, while dispensable for immune homeostasis at steady-state conditions, is necessary for Treg cells to control inflammatory responses. Mechanistically, we found that Treg cells deficient in miR-342 display dysregulated metabolic profiles, elevated glycolysis and decreased oxidative phosphorylation, a metabolic phenotype associated with functionally defective Treg cells. Interestingly, miR-342-dependent metabolic dysregulation was observed in Treg but not in Th1 type cells. In support, miR-342-mediated Rictor targeting was found in Treg but not in Th1 type cells. Collectively, our findings uncover that miR-342 may serve a master regulator specific for metabolism and functions in Treg cells.

immunology↗

bioRxiv2023

Phenformin's impact on lifespan in C. elegans is resilient to environmental factors that inhibit metformin-induced longevity downstream of skn-1/Nrf and AMP-activated protein kinase

Despite being principally prescribed to treat type 2 diabetes, biguanides, especially metformin and phenformin, have been shown to extend lifespan and healthspan in preclinical models, and to reduce the impact of aging-associated diseases such as cancer. While there have been conflicting results in studies involving rodents and humans, consistent evidence from laboratories worldwide, including our own, indicates metformin and phenformins ability to significantly extend lifespan in C. elegans. However, the pro-longevity effect of metformin can vary depending on environmental conditions. Specifically, the choice of agar from different manufacturers or batches influences metformins ability to extend lifespan in C. elegans. We traced ability of certain agar batches to interfere with metformin-prompted lifespan extension to the presence of a factor that acts directly in the worm, independently of the bacterial food source, that prevents longevity promoting effects downstream of longevity effectors skn-1 and AMPK. In contrast, phenformin prompts robust lifespan extension in the face of environmental changes and exhibits broad positive effects in aging across genetically diverse Caenorhabditis species where the impact of metformin is highly variable. Thus metformin effects in aging are impacted by heretofore unappreciated environmental factors. Phenformin may represent a more robust agent with which to understand the longevity promoting mechanisms downstream of biguanides.

molecular biology↗

bioRxiv2023

Structural and dynamic changes in P-Rex1 upon activation by PIP3 and inhibition by IP4

PIP3-dependent Rac exchanger 1 (P-Rex1) is abundantly expressed in neutrophils and plays central roles in chemotaxis and cancer metastasis by serving as a guanine-nucleotide exchange factor (GEF) for Rac. The enzyme is synergistically activated by PIP3 and the heterotrimeric G{beta}{gamma} subunits, but mechanistic details remain poorly understood. While investigating the regulation of P-Rex1 by PIP3, we discovered that Ins(1,3,4,5)P4 (IP4) inhibits P-Rex1 activity and induces large decreases in backbone dynamics in diverse regions of the protein. Cryo-electron microscopy analysis of the P-Rex1{middle dot}IP4 complex revealed a conformation wherein the pleckstrin homology (PH) domain occludes the active site of the Dbl homology (DH) domain. This configuration is stabilized by interactions between the first DEP domain (DEP1) and the DH domain and between the PH domain and a 4-helix bundle (4HB) subdomain that extends from the C-terminal domain of P-Rex1. Disruption of the DH-DEP1 interface in a DH/PH-DEP1 fragment enhanced activity and led to a more extended conformation in solution, whereas mutations that constrain the occluded conformation led to decreased GEF activity. Variants of full-length P-Rex1 in which the DH-DEP1 and PH-4HB interfaces were disturbed exhibited enhanced activity during chemokine-induced cell migration, confirming that the observed structure represents the autoinhibited state in living cells. Interactions with PIP3-containing liposomes led to disruption of these interfaces and increased dynamics protein-wide. Our results further suggest that inositol phosphates such as IP4 help to inhibit basal P-Rex1 activity in neutrophils, similar to their inhibitory effects on phosphatidylinositol-3-kinase.

biochemistry↗

bioRxiv2023

Inducer of CBF Expression 1 (ICE1) Promotes Cold-enhanced Immunity by Directly Activating Salicylic Acid Signaling

Cold stress affects plant immune responses, and this process may involve the salicylic acid (SA) signaling pathway. However, the underlying mechanism by which low temperature signals coordinate with SA signaling to regulate plant immunity remains not fully understood. Here, we found that low temperatures enhanced the disease resistance of Arabidopsis against Pseudomonas syringae pv. tomato (Pst) DC3000. This process required Inducer of CBF expression 1 (ICE1), the core transcription factor in cold-signal cascades. ICE1 physically interacted with Non-expresser of PR genes 1 (NPR1), the master regulator of the SA signaling pathway. Enrichment of ICE1 on the PR1 promoter and its ability to transcriptionally activate PR1 were enhanced by NPR1. Further analyses revealed that cold stress signals cooperate with SA signals to facilitate plant immunity against pathogen attack in an ICE1-dependent manner. Cold treatment promoted interactions of NPR1 and TGA3 with ICE1, and increased the ability of the ICE1-TGA3 complex to transcriptionally activate PR1. Together, our results characterize a previously unrecognized role of ICE1 as an indispensable regulatory node linking low temperature activated- and SA-regulated immunity. Discovery of a crucial role of ICE1 in coordinating multiple signals associated with immunity broadens our understanding of plant-pathogen interactions.

plant biology↗

bioRxiv2023

CodonBERT: Large Language Models for mRNA Design and Optimization

AO_SCPLOWBSTRACTC_SCPLOWmRNA based vaccines and therapeutics are gaining popularity and usage across a wide range of conditions. One of the critical issues when designing such mRNAs is sequence optimization. Even small proteins or peptides can be encoded by an enormously large number of mRNAs. The actual mRNA sequence can have a large impact on several properties including expression, stability, immunogenicity, and more. To enable the selection of an optimal sequence, we developed CodonBERT, a large language model (LLM) for mRNAs. Unlike prior models, CodonBERT uses codons as inputs which enables it to learn better representations. CodonBERT was trained using more than 10 million mRNA sequences from a diverse set of organisms. The resulting model captures important biological concepts. CodonBERT can also be extended to perform prediction tasks for various mRNA properties. CodonBERT outperforms previous mRNA prediction methods including on a new flu vaccine dataset.

bioinformatics↗

bioRxiv2023

Adeno-to-squamous transition drives resistance to KRAS inhibition in LKB1 mutant lung cancer

KRASG12C inhibitors including adagrasib and sortorasib have shown clinical promise in targeting KRASG12C-mutated lung cancers, however, most patients eventually develop drug resistance. In lung adenocarcinoma patients with co-occurring KRASG12C and STK11/LKB1 mutations, we found a high squamous gene signature at baseline significantly correlated with poor adagrasib response. Through integrative studies of Lkb1-deficient KRASG12Cand KrasG12D lung cancer mouse models and/or organoids treated with KRAS inhibitors, we found tumor cells invoked a lineage plasticity program: adeno-to-squamous transition (AST) that mediated resistance to KRAS inhibition. Transcriptomic and epigenomic analyses revealed {Delta}Np63 drives AST and modulates response to KRAS inhibition. We identified an intermediate high-plasticity cell state with distinct gene expression program marked by Krt6a upregulation. Notably, higher KRT6A expression at baseline correlated with shorter overall survival in KRAS-mutant patients receiving adagrasib. These data support the role of AST in KRAS inhibitor resistance and provide predictive biomarker for KRAS-targeted therapies in lung cancer.

cancer biology↗

bioRxiv2023

Elf1 promotes Rad26 interaction with lesion-arrested Pol II for transcription-coupled repair

Transcription-coupled nucleotide excision repair (TC-NER) is a highly conserved DNA repair pathway that removes bulky lesions in the transcribed genome. Cockayne syndrome B protein (CSB), or its yeast ortholog Rad26, has been known for decades to play important roles in the lesion-recognition steps of TC-NER. Another conserved protein ELOF1, or its yeast ortholog Elf1, was recently identified as a core transcription-coupled repair factor. How Rad26 distinguishes between RNA polymerase II (Pol II) stalled at a DNA lesion or other obstacles and what role Elf1 plays in this process remains unknown. Here, we present cryo-EM structures of Pol II-Rad26 complexes stalled at different obstacles that show that Rad26 uses a universal mechanism to recognize a stalled Pol II but interacts more strongly with a lesion-arrested Pol II. A cryo-EM structure of lesion-arrested Pol II-Rad26 bound to Elf1 revealed that Elf1 induces new interactions between Rad26 and Pol II when the complex is stalled at a lesion. Biochemical and genetic data support the importance of the interplay between Elf1 and Rad26 in TC-NER initiation.

biophysics↗