Biology subjects

Wang, J.

Publications and source records attributed to Wang, J..

At least 1,027 records · Page 57Linked to original sources

bioRxiv2024

Regulative synthesis of capsular polysaccharides in the pathogenesis of Streptococcus suis

Streptococcus suis (S. suis) is an important zoonotic pathogen causing substantial economic losses in the swine industry. S. suis serotype 2 (SS2) is often isolated from the diseased. S. suis expresses capsular polysaccharide (CPS), a virulence factor crucial for their survival in the blood. However, the role of CPS in the pathogenesis of S. suis is incomplete. Here, we showed a dynamic regulation of CPS in S. suis pathogenesis. In a mouse infection model, an SS2 strain (05ZYH33) was detected in the nasal-associated lymphoid tissue (NALT) and cerebrospinal fluid (CSF) as early as 30 min after intranasal inoculation without bacteremia. Histological analysis revealed that 05ZYH33 in the nasal cavity invaded the olfactory epithelium, resulting in early brain inflammation. Transmission electron microscopy showed that 05ZYH33 isolated from NALT and CSF at early infection time had a thin layer of CPS, and those detected in the blood 5 h post- inoculation showed a much thicker CPS. In addition, adoptive transfer of anti-CPS restricted 05ZYH33 in the blood but not in NALT or CSF. However, an antiserum directed to multiple non-CPS virulence factors (anti-V5) efficiently inhibited 05ZYH33 in NALT, CSF, and blood. Thus, 05ZYH33 colonizes NALT more efficiently without CPS and subsequently invades the meninges through the olfactory nerve system. These findings provide valuable information for the treatment of S. suis infection and the development of vaccines across serotypes of S. suis by targeting CPS-independent immunity.

microbiology↗

bioRxiv2024

Translation efficiency covariation across cell types is a conserved organizing principle of mammalian transcriptomes

Characterizing shared patterns of RNA expression between genes across conditions has led to the discovery of regulatory networks and novel biological functions. However, it is unclear if such coordination extends to translation. Here, we uniformly analyzed 3,819 ribosome profiling datasets from 117 human and 94 mouse tissues and cell lines. We introduce the concept of translation efficiency covariation (TEC), identifying coordinated translation patterns across cell types. We nominate candidate mechanisms driving shared patterns of translation regulation. TEC is conserved across human and mouse cells and uncovers gene functions that are not evident from RNA or protein co-expression. Moreover, our observations indicate that proteins that physically interact are highly enriched for positive covariation at both translational and transcriptional levels. Our findings establish TEC as a conserved organizing principle of mammalian transcriptomes.

bioinformatics↗

bioRxiv2024

Predicting the translation efficiency of messenger RNA in mammalian cells

The degree to which translational control is specified by mRNA sequence is poorly understood in mammalian cells. Here, we constructed and leveraged a compendium of 3,819 ribosomal profiling datasets, distilling them into a transcriptome-wide atlas of translation efficiency (TE) measurements encompassing >140 human and mouse cell types. We subsequently developed RiboNN, a multitask deep convolutional neural network, and classic machine learning models to predict TEs in hundreds of cell types from sequence-encoded mRNA features, achieving state-of-the-art performance (r=0.79 in human and r=0.78 in mouse for mean TE across cell types). While the majority of earlier models solely considered 5' UTR sequence1, RiboNN integrates contributions from the full-length mRNA sequence, learning that the 5' UTR, CDS, and 3' UTR respectively possess [~]67%, 31%, and 2% per-nucleotide information density in the specification of mammalian TEs. Interpretation of RiboNN revealed that the spatial positioning of low-level di- and tri-nucleotide features (i.e., including codons) largely explain model performance, capturing mechanistic principles such as how ribosomal processivity and tRNA abundance control translational output. RiboNN is predictive of the translational behavior of base-modified therapeutic RNA, and can explain evolutionary selection pressures in human 5' UTRs. Finally, it detects a common language governing mRNA regulatory control and highlights the interconnectedness of mRNA translation, stability, and localization in mammalian organisms.

bioinformatics↗

bioRxiv2024

A Self-Assembling Immune-Featured Osteosarcoma Patient/PDX Derived Organoid Model and Biobank for Personalized Immune Therapy

Osteosarcoma (OS) exhibit intra- and inter-heterogeneity, complicating the exploration of effective therapeutic strategies. Traditional in vitro and in vivo models are limited in inheriting biological and genomic heterogeneities of OS patients, even in inheriting the features on tumor microenvironment. The prolonged generation time of current models makes the drug development of OS slow and is not suitable to clinically rapid timing. Here, we introduce methods for generating and biobanking patient/PDX-derived osteosarcoma organoids (OS PD(X)Os) that recapitulate the histological, biological and genomic features of their paired OS patients. OS PD(X)Os can be generated quickly with high reliability in vitro or transplanted to immunodeficient mice. We further demonstrate an immune-featured OS PD(X)O (named iOS) model and its method for testing personalized chemotherapy response, personalized immune therapeutic strategy and target drug development, such as a novel PRMT5MTA inhibitor ARPN2169 on MTAP-deleted OS. Our studies show that iOS models maintain many typical features of OS and could be rapidly employed to investigate patient-specific therapeutic strategies. Additionally, our biobank establishes a rich resource for basic, translational and even clinical OS researches.

cancer biology↗

bioRxiv2024

Celastrol binds to pyruvate kinase and imitates the metabolic reprogramming of ATP

ATP is the final product of glycolysis and the TCA cycle. However, the counter-regulation of glycosis and TCA by ATP is poorly understood. Here we show that ATP analog celastrol (CLT) binds to the ATP binding pocket on pyruvate kinase PKM (PKM) while inducing allosteric regulation of PKM. Quantum calculation predicts hydrogen bond formation between CLT and asparagine. Liquid chromatography-mass spectrometry further identifies PKM as CLTs target. The inhibition of PKM is stronger and longer for CLT while weak and short for ATP. Notably, CLT-PKM interaction perfectly underlies the hypoglycemic effects by forming glucose carbon flux U turn before PKM. Besides, the PKM allostery induces a tricarboxylic acid (TCA) vortex which could promote amino acid and lipid degradation as the energy compensation, leading to a significant weight loss. Additionally, CLT exerts efficient antioxidant effects by altering the glucose flux to strengthen the pentose phosphate pathway. Consequently, the CLT-PKM interaction vividly reproduces the ATP-PKM interaction named "ATP resistance" in the diabetes pathogenesis.

pharmacology and toxicology↗

bioRxiv2024

Comprehensive assembly of monoclonal and mixed antibody sequences

The elucidation of antibody sequence information is crucial for understanding antigen binding and advancing therapeutic and research applications. However, complete de novo assembly of monoclonal antibody sequences remains challenging due to accuracy and robustness limitations. To address this issue, we introduce Fusion, an innovative de novo assembler that integrates overlapping peptides and template information into complete sequences using a beam search strategy. We demonstrate Fusions performance by reconstructing multiple human and murine antibodies with highest accuracy (100% and over 99%, respectively). Biological validation of the recombinantly expressed AFS98 antibody with unknown sequences further supports its effectiveness. Furthermore, current methods are applicable only to traditional monoclonal antibody sequencing assembly, presenting a significant bottleneck in achieving higher throughput. In contrast, Fusion can assemble peptide sequences from mixtures of two or three monoclonal antibodies into complete individual sequences with the same accuracy as traditional sequencing, significantly enhancing throughput. To our knowledge, this is the first study enabling high-throughput sequencing of multiple antibodies using only bottom-up mass spectrometry. The duration, expense, and reagent consumption of mass spectrometry detection are comparable to those required for sequencing a single monoclonal antibody. In summary, Fusions superior performance in handling the complex antibody sequencing represents a significant advancement in antibody research.

bioinformatics↗

bioRxiv2024

Predicting mutation-disease associations through protein interactions via deep learning

Disease is one of the primary factors affecting life activities, with complex etiologies often influenced by gene expression and mutation. Currently, wet-lab experiments have analyzed the mechanisms of mutations, but these are usually limited by the costs of wet experiments and constraints in sample types and scales. Therefore, this paper constructs a real-world mutation-induced disease dataset and proposes Capsule networks and Graph topology networks with multi-head attention (CGM) to predict the mutation-disease associations. CGM can accurately predict protein mutation-disease associations, and in order to further elucidate the pathogenicity of protein mutations, we also verified that protein mutations lead to protein structural alterations by Swiss-model, which suggests that mutation-induced conformational changes may be an important pathogenic factor. Limited by the size of the mutated protein dataset, we also performed experiments on benchmark and imbalanced datasets, where CGM mined 22 unknown protein interaction pairs from the benchmark dataset, better illustrating the potential of CGM in predicting mutation-disease associations. In summary, this paper curates a real dataset and proposes CGM to predict the protein mutations-disease associations, providing a novel tool for further understanding of biomolecular pathways and disease mechanisms.

bioinformatics↗

bioRxiv2024

Potent LILRB1 D1D2-containing antibodies inhibit RIFIN-mediated immune evasions

The spread of drug-resistant malaria parasites presents a major challenge to global efforts in malaria control, increasing the urgency for new treatments and vaccines. A promising approach involves developing antibodies that can counteract the parasites immune evasion mechanisms. In this study, we designed a receptor-containing antibody, targeting the D1D2 domain of the LILRB1 receptor, using a structure-based rational approach. We began with the MDB1 antibody as a scaffold and replaced the LILRB1-D3D4 insertion domain with D1D2.v, a high-affinity variant optimized through yeast surface display. The modified D1D2.v-IgG efficiently blocked the interaction between RIFIN#1 (from PF3D7_1254800) and LILRB1, thereby reversing the inhibition of NK cell activity caused by RIFIN#1. To further enhance this effect, we developed NK-biAb, a bispecific antibody based on D1D2.v-IgG that targets both RIFIN#1 and NKG2D receptors. NK-biAb exhibited superior biological performance compared to D1D2.v-IgG alone. These findings provide a clear framework for designing antibodies that target immune evasion in malaria, potentially guiding the development of more effective treatments and vaccines.

biochemistry↗

bioRxiv2024

MiRNA-21-5p and MiRNA-125-5p Serve as Biomarkers for Diagnosis and Prognosis of Gastric Cancer

BackgroundGastric cancer is one of the most common diseases worldwide. MicroRNAs (miRNAs) are small non-coding RNAs, typically 19-25 nucleotides in length, which represent potential targets for therapeutic intervention. Methods and ResultsIn this study, we performed a data mining analysis for gastric cancer (GC) by integrating differentially expressed genes obtained from the Gene Expression Omnibus (GEO) database with data from The Cancer Genome Atlas (TCGA) database. We compared the expression levels of miRNA-125-5p and miRNA-21-5p in cancer cells and GES-1 cells. Our analysis revealed up-regulation of these two miRNAs in both GEO and TCGA datasets, which was further validated by quantitative polymerase chain reaction (qPCR). Additionally, survival analysis, risk score analysis, and downstream analyses, including functional enrichment analysis, target gene prediction, and protein-protein interaction analysis, were conducted. ConclusionThe expression levels of miRNA-125-5p and miRNA-21-5p are upregulated in gastric cancer cells, which contribute to the diagnosis of gastric cancer and serve as novel biomarkers.

molecular biology↗

bioRxiv2024

BLEND: Probabilistic Cellular Deconvolution with Automated Reference Selection

Cellular deconvolution aims to estimate cell type fractions from bulk transcriptomic and other omics data. Most existing deconvolution methods fail to account for the heterogeneity in cell type-specific (CTS) expression across bulk samples, ignore discrepancies between CTS expression in bulk and cell type reference data, and provide no guidance on cell type reference selection or integration. To address these issues, we introduce BLEND, a hierarchical Bayesian method that leverages multiple reference datasets. BLEND learns the most suitable references for each bulk sample by exploring the convex hulls of references and employs a "bag-of-words" representation for bulk count data for deconvolution. To speed up the computation, we provide an efficient EM algorithm for parameter estimation. Notably, BLEND requires no data transformation, normalization, cell type marker gene selection, or reference quality evaluation. Benchmarking studies on both simulated and real human brain data highlight BLENDs superior performance in various scenarios. The analysis of Alzheimers disease data illustrates BLENDs application in real data and reference resource integration.

bioinformatics↗

bioRxiv2024

A Tough Biointerface in Human Knee Empowered by Dynamic Phase-transforming Minerals in Collagenous Matrix

Joining heterogeneous materials in engineered structures remains a daunting challenge because of stress concentration, often resulting in unexpected failures1,2. Studying the structures in organisms that evolved for centuries provides valuable insights that can be instrumental in addressing this mechanical challenge3-5. The human meniscus root-bone interface is a remarkable example known for its exceptional fatigue resistance, toughness and interfacial adhesion properties throughout its lifespan6-8. We studied the multiscale graded mineralization structure designs within the 30-micron soft-hard interface at the root-bone junction and examined its toughening mechanisms. This graded interface with interdigitated structures and exponential modulus increase exhibits a phase transition from amorphous calcium phosphate (ACP) to gradually matured hydroxyapatite (HAP) crystals, mediated by location-specific distributed biomolecules. In coordination with collagen fibril deformation and reorientation, ACP particles debond with collagen and slide to new positions which enable frictional energy dissipation, and HAP particles arrest cracks. The mineral in transforming phases work synergistically to provide interfacial toughening. The presented biointerface model exemplifies human musculoskeletal systems adaptations to mechanical requirements, offering a blueprint for developing tough interfaces in broad applications.

bioengineering↗

bioRxiv2024

Evaluation of High-Affinity Monoclonal Antibodies and Antibody-Drug Conjugates by Homogenous Time-Resolved FRET

The rapid growth of therapeutic monoclonal antibodies demands greater accessibility to scalable methods of evaluating antigen binding. Homogenous TR-FRET is ideal for preliminary screening but has not been reported to assay these interactions due to their high-affinity and complex solution-phase kinetics. Here we report the development of a competition assay to rank-order the relative affinities of these drugs for a common antigen. The assay is compatible with automation, requires no modification of the analytes, and measures affinities as low as single-digit picomolar. We further demonstrate applications to inform the development of antibody-drug conjugates. The assay may aid discovery and manufacturing of therapeutic antibodies as a low-cost, high-throughput alternative to existing technologies.

biochemistry↗

bioRxiv2024

A simple in vitro fermentation model to detect alterations in gut microbiota-dependent bile acid profiles

A previous in vivo study showed that lincosamide antibiotics (lincomycin and clindamycin) could induce changes in the gut bacterial community, leading to significant changes in fecal bile acid profiles. Herein, our aim is to develop an animal alternative in vitro model for studying gut microbiota-dependent bile acid profiles induced by xenobiotics. The effects of lincosamides were evaluated using this model, and results obtained were verified by comparing with those of the previous in vivo study. Fecal sample processing and bile acid incubation conditions were developed and optimized using feces collected from Wistar rats, and prepared samples were incubated for 24 h with or without lincosamides. Upon treatment of the fecal gut microbiota with lincosamides primary and secondary bile acids showed obviously increased and decreased levels respectively. Moreover, the changes in bile acid profile could be linked to a reduced richness of family Erysipelotrichaceae, Bacteroidacea and Lactobacillaceae or Prevotellaceae. The consistent consequences of in vivo and in vitro provides a proof of principle for further application on elucidating effects of other xenobiotics on the gut bacterial community and related bile acid metabolism, thereby contributing to the 3Rs (replacement, reduction and refinement) in animal testing.

biochemistry↗

bioRxiv2024

DNA damage response signatures are associated with frontline chemotherapy response and routes of tumor evolution in extensive stage small cell lung cancer

IntroductionA hallmark of small cell lung cancer (SCLC) is its recalcitrance to therapy. While most SCLCs respond to frontline therapy, resistance inevitably develops. Identifying phenotypes potentiating chemoresistance and immune evasion is a crucial unmet need. Previous reports have linked upregulation of the DNA damage response (DDR) machinery to chemoresistance and immune evasion across cancers. However, it is unknown if SCLCs exhibit distinct DDR phenotypes. MethodsTo study SCLC DDR phenotypes, we developed a new DDR gene analysis method and applied it to SCLC clinical samples, in vitro, and in vivo model systems. We then investigated how DDR regulation is associated with SCLC biology, chemotherapy response, and tumor evolution following therapy. ResultsUsing multi-omic profiling, we demonstrate that SCLC tumors cluster into three DDR phenotypes with unique molecular features. Hallmarks of these DDR clusters include differential expression of DNA repair genes, increased replication stress, and heightened G2/M cell cycle arrest. SCLCs with elevated DDR phenotypes exhibit increased neuroendocrine features and decreased "inflamed" biomarkers, both within and across SCLC subtypes. Treatment naive DDR status identified SCLC patients with different responses to frontline chemotherapy. Tumors with initial DDR Intermediate and DDR High phenotypes demonstrated greater tendency for subtype switching and emergence of heterogeneous phenotypes following treatment. ConclusionsWe establish that SCLC can be classified into one of three distinct, clinically relevant DDR clusters. Our data demonstrates that DDR status plays a key role in shaping SCLC phenotypes, chemotherapy response, and patterns of tumor evolution. Future work targeting DDR specific phenotypes will be instrumental in improving patient outcomes.

cancer biology↗

bioRxiv2024

Deletion of Setd7 protects against cardiac hypertrophy via inhibiting lipid oxidation

Setd7, a catalytic enzyme responsible for histone H3K4 methylation, is implicated in various cardiac diseases. However, the role of Setd7 in pathological cardiac hypertrophy remains unclear. In this study, we observed that Setd7 is significantly elevated in pathological hypertrophy stimuli cardiomyocytes and mouse failing hearts. Subsequently, we found that mice lacking Setd7 remarkably preserved cardiac function after transverse aortic constriction, as demonstrated by improving myocardial hypertrophy and fibrosis, whereas Setd7 overexpression in cardiomyocytes deteriorated hypertrophy phenotype. Further in vitro analyses revealed that Setd7 mediated-E2F1 activation induces E3 ubiquitin protein ligases WWP2 expression to catalyze the lipid-peroxide-reducing enzyme GPx4 ubiquitination degradation, ultimately causing widespread lipid peroxidation and boosting pathological cardiac hypertrophy. Remarkably, loss of activity of GPx4 blunted the Setd7 knockdown exerts antihypertrophic effect in pathological cardiomyocytes hypertrophy, further confirming an important role of lipid peroxidation in Setd7-mediated failing hearts. In summary, the role of Setd7 in pressure overload-induced cardiac hypertrophy is regulated by the Setd7-E2F1-WWP2-GPx4 signaling pathway, suggesting that targeting Setd7 is a promising therapeutic strategy to attenuate pathological cardiac hypertrophy and heart failure.

molecular biology↗

bioRxiv2024

Efficient generation of CAR NK cells from human umbilical cord blood CD34+ stem and progenitors for democratizing affordable immunotherapy

Chimeric antigen receptor (CAR) natural killer cells (CAR NK) cells, leveraging safety and not requiring HLA match in adoptive infusion, have emerged as promising alternative cells to CAR-T cells for immunotherapies. High and multiple doses of CAR NK cell infusions are essential to maintain therapeutic efficacy in clinical trials. This requires efficient methods for generating large-scale CAR NK cells and significantly reducing CAR engineering costs. In this study, we develop a three-step strategy to generate highly high yields of induced NK (iNK) and CAR iNK cells from human umbilical cord blood CD34+ hematopoietic stem and progenitor cells (CD34+ HSPCs). Starting from a single umbilical cord blood CD34+ HSPC, our reliable method efficiently produces 14-83 million mature iNK cells or 7-32 million CAR iNK cells with high expression levels of CD16 and zero T cell contaminations. Introducing CAR expression elements at the HSPC level reduces the quantities of CAR pseudoviruses to 1 / 140.000 - 1 / 600,000 compared to engineering CARs in mature NK cells. The iNK and CAR iNK cells, including fresh cells and thawed cells from cryopreserved conditions, demonstrate remarkable tumoricidal activities against various human cancer cells and significantly prolong the survival of human tumor-bearing animals. The high yields of CAR NK cells and negligible costs of CAR engineering of our method support the broad applications of CAR NK cells for treating cancer patients.

cell biology↗

bioRxiv2024

Reconstitution of chromatin reorganization during mammalian oocyte development

SignificanceThe generation of developmentally competent eggs requires oocyte growth and maturation. When compared to meiotic maturation, relatively little is known about the key processes that happen in growing oocytes. Since the first visualization of oocyte chromatin under the electron microscope, we have known that growing oocytes undergo a fundamental transition from the non-surrounded nucleolus (NSN) to surrounded nucleolus (SN) chromatin configuration. NSN-to-SN transition is crucial for subsequent embryonic development after fertilization, but what drives NSN-to-SN transition during mammalian oocyte development is still unknown. Here we show that natural degradation of RNA polymerase II (RNAPII) by segregase and proteasome drives NSN-to-SN transition, challenging the conventional view that transcriptional silencing and NSN-to-SN transition are driven by independent epigenetic mechanisms in mammalian oocytes. The final step of oocyte growth, which reorganizes chromatin from the uncondensed, non-surrounded nucleolus (NSN) configuration to the condensed, surrounded nucleolus (SN) configuration, is essential for embryonic development after fertilization. However, the mechanism of NSN-to-SN transition remains unknown. Here, we identify RNA polymerase II (RNAPII) degradation as the key driver of this process. RNAPII inhibitors, but not nucleoside-based transcription inhibitors, swiftly induced RNAPII degradation and NSN-to-SN transition in oocytes. Strikingly, induced SN-like nuclei recapitulated epigenetic features, chromatin interactions and developmental potential in SN oocytes. Using segregase and proteasome inhibitors and the newly established scFv miniTrim-Away for nuclear proteins, we further demonstrate that RNAPII degradation is necessary and sufficient for NSN-to-SN transition in mouse and human. RNAPII degradation globally cleared RNAPII from transcriptionally active chromatin and increased chromatin dynamics, concomitantly leading to transcriptional silencing and chromatin rearrangement in oocytes. Our study elucidates the framework of chromatin reorganization in growing mammalian oocytes and provides an alternative source of fully grown oocyte nuclei, representing a milestone for the potential use of growing oocytes in reproductive medicine.

developmental biology↗

bioRxiv2024

Horizontal transfer of nuclear DNA in transmissible cancer

Although somatic cell genomes are usually entirely clonally inherited, nuclear DNA exchange between cells of an organism can occur sporadically by cell fusion, phagocytosis or other mechanisms1-3. This phenomenon has long been noted in the context of cancer, where it could be envisaged that DNA horizontal transfer plays a functional role in disease evolution4-13. However, an understanding of the frequency and significance of this process in naturally occurring tumours is lacking. The host-tumour genetic discordance of transmissible cancers, malignant clones which pass between animals as allogeneic grafts, provides an opportunity to investigate this. We screened for host-to-tumour horizontal transfer of nuclear DNA in 174 tumours from three transmissible cancers affecting dogs and Tasmanian devils, and detected a single instance in the canine transmissible venereal tumour (CTVT). This involved introduction of a 15-megabase dicentric genetic element, composed of 11 rearranged fragments of six chromosomes, to a CTVT sublineage occurring in Asia around 2,000 years ago. The element forms the short arm of a small submetacentric chromosome, and derives from a dog with ancestry associated with the ancient Middle East. The introduced DNA fragment is transcriptionally active and has adopted the expression profile of CTVT. Its 143 genes do not, however, confer any obvious advantage to its spatially restricted CTVT sublineage. Our findings indicate that nuclear DNA horizontal transfer, although likely a rare event in tumour evolution, provides a viable mechanism for the acquisition of genetic material in naturally occurring cancer genomes.

cancer biology↗