Search bioRxiv⌕ Search

Biology subjects

Luo, M.

Publications and source records attributed to Luo, M..

At least 73 records · Page 4Linked to original sources

HaloTag display enables quantitative single-particle characterization and functionalization of engineered extracellular vesicles

Extracellular vesicles (EVs) play key roles in diverse biological processes, transport biomolecules between cells, and have been engineered for therapeutic applications. A useful EV bioengineering strategy is to express engineered proteins on the EV surface to confer targeting, bioactivity, and other properties. Measuring how incorporation varies across a population of EVs is important for characterizing such materials and understanding their function, yet it remains challenging to quantitatively characterize the absolute number of engineered proteins incorporated at single-EV resolution. To address these needs, we developed a HaloTag-based characterization platform in which dyes or other synthetic species can be covalently and stoichiometrically attached to engineered proteins on the EV surface. To evaluate this system, we employed several orthogonal quantification methods, including flow cytometry and fluorescence microscopy, and found that HaloTag-mediated quantification is generally robust across EV analysis methods. We compared HaloTag-labeling to antibody-labeling of EVs using single vesicle flow cytometry, enabling us to measure the substantial degree to which antibody labeling can underestimate proteins present on an EV. Finally, we demonstrate the use of HaloTag to compare between protein designs for EV bioengineering. Overall, the HaloTag system is a useful EV characterization tool which complements and expands existing methods.

bioengineering↗

Combining environmental DNA and remote sensing for efficient, fine-scale mapping of arthropod biodiversity

Arthropods contribute importantly to ecosystem functioning but remain understudied. This undermines the validity of conservation decisions. Modern methods are now making arthropods easier to study, since arthropods can be mass-trapped, mass-identified, and semi-mass-quantified into many-row (observation), many-column (species) datasets, with homogeneous error, high resolution, and copious environmental-covariate information. These novel community datasets let us efficiently generate information on arthropod species distributions, conservation values, uncertainty, and the magnitude and direction of human impacts. We use a DNA-based method (barcode mapping) to produce an arthropod-community dataset from 121 Malaise-trap samples, and combine it with 29 remote-imagery layers within a joint species distribution model. With this approach, we generate distribution maps for 76 arthro-pod species across a 225 km2 temperate-zone forested landscape. We combine the maps to visualise the fine-scale spatial distributions of species richness, community composition, and site irreplaceability. Old-growth forests show distinct community composition and higher species richness, and stream courses have the highest site-irreplaceability values. With this sideways biodiversity modelling method, we demonstrate the feasibility of biodiversity mapping at sufficient spatial resolution to inform local management choices, while also being efficient enough to scale up to thousands of square kilometres.

ecology↗

Hsa_circ_0005397 could promote hepatocellular carcinoma progression and metastasis through EIF4A3

PurposeThe purpose was to explore the expression and potential mechanism of hsa_circ_0005397 in hepatocellular carcinoma metabolism. MethodsThe quantitative real-time PCR (qPCR) was used to measure the expression of hsa_circ_0005397 and EIF4A3. The specificity of primers was confirmed by agarose gel electrophoresis. The ROC curve was draw to analysis clinical value. The actinomycin D assay and Nuclear and Cytoplasmic Extraction assay were utilized to evaluate the characteristic of hsa_circ_0005397. The CCK-8 and colony formation assays were performed to detect cell proliferation. The flow cytometry analysis was used to detect the cycle distribution. The transwell assays and Xenograft tumor model were conducted to explore cell metabolism. The RNA-binding proteins of hsa_circ_0005397 in HCC were explored in bioinformatics websites. The relationship between hsa_circ_0005397 and EIF4A3 was verified by RIP assays and rescue experiments. ResultsHsa_circ_0005397 and EIF4A3 were overexpressed in HCC. Through ROC analysis, hsa_circ_0005397 shown a big role in diagnosis and prognosis. Hsa_circ_0005397 was stable and almost distributed in the cytoplasm. The upregulation of hsa_circ_0005397 generally resulted in stronger proliferative ability, clonality, metastatic potency of HCC cells, while downregulation of hsa_circ_0005397 yielded opposite results. Tumor volume and size were notably reduced while downregulation of hsa_circ_0005397, showing significant difference in tumor growth. EIF4A3 was the RNA-binding protein of hsa_circ_0005397, the expression of hsa_circ_0005397 decreased equally when depletion of EIF4A3. Knockdown of EIF4A3 could reverse the function on HCC progression. ConclusionsHsa_circ_0005397 could promote the progression of hepatocellular carcinoma through EIF4A3. These research findings may present a novel clinical value for HCC.

cancer biology↗

Identification of HPV oncogene and host cell differentiation associated cellular heterogeneity in cervical cancer via single-cell transcriptomic analysis

Human Papillomaviruses (HPVs) are associated with around 5-10% of human cancer, notably nearly 99% of cervical cancer. The mechanisms HPV interacts with stratified epithelium (differentiated layers) during the viral life cycle, and oncogenesis remain unclear. In this study, we used single-cell transcriptome analysis to study viral gene and host cell differentiation-associated heterogeneity of HPV-positive cervical cancer tissue. We examined the HPV16 genes - E1, E6, and E7, and found they expressed differently across nine epithelial clusters. We found that three epithelial clusters had the highest proportion of HPV-positive cells (33.6%, 37.5%, and 32.4%, respectively), while two exhibited the lowest proportions (7.21% and 5.63%, respectively). Notably, the cluster with the most HPV-positive cells deviated significantly from normal epithelial layer markers, exhibiting functional heterogeneity and altered epithelial structuring, indicating that significant molecular heterogeneity existed in cancer tissues and that these cells exhibited unique/different gene signatures compared with normal epithelial cells. These HPV-positive cells, compared to HPV-negative, showed different gene expressions related to the extracellular matrix, cell adhesion, proliferation, and apoptosis. Further, the viral oncogenes E6 and E7 appeared to modify epithelial function via distinct pathways, thus contributing to cervical cancer progression. We investigated the HPV and host transcripts from a novel viewpoint focusing on layer heterogeneity. Our results indicated varied HPV expression across epithelial clusters and epithelial heterogeneity associated with viral oncogenes, contributing biological insights to this critical field of study.

bioinformatics↗

The Microspherule protein 1 (MCRS1) homolog interacts with the Myb-like transcription factor DRMY1 and is essential for embryogenesis in Arabidopsis thaliana

The evolutionarily conserved Microspherule protein 1 (MCRS1) has diverse functions from transcriptional regulation to stabilization of microtubule minus ends in acentrosomal spindles in mammals. A previous study suggested that in the model plant Arabidopsis thaliana, inactivation of an MCRS1 homolog gene led to aborted embryogenesis. To test whether this lethality was caused by defects associated with transcription or mitosis, we used the heterozygous mcrs1 mutant to examine whether the gene was required for mitosis during gametogenesis. Results of reciprocal crosses between the mcrs1 mutant and the wild-type plant showed that the MCRS1 gene was dispensable for mitotic cell divisions associated with the development of both male and female gametophytes. An MCRS1-GFP fusion protein was expressed in the mcrs1 mutant and suppressed the mutation as reported by restored growth. This functional fusion protein exclusively localized to interphase nuclei and became undetectable during mitosis before returning to the reforming daughter nuclei. Affinity purification of the MCRS1-GFP protein resulted in consistent recovery of the Myb-like transcription factor DRMY1 (Developmentally Regulated Myb-like1) but not microtubule-associated factors. The association was further supported by the evidence of a direct interaction in living cells. Hence, the plant MCRS1 was concluded to play a role in the gene transcription in sporophyte development.

plant biology↗

Manipulation of Bacterial ROS Production Leads to Self-escalating DNA Damage and Resistance-resistant Lethality for Intracellular Mycobacteria

The high prevalence of drug resistance in mycobacteria calls for antimicrobial mechanisms that suppresses the development of resistance. As a structurally conserved multi-site bio-macromolecule, DNA is presumed to be an ideal candidate for such resistance-resistant drug target. However, survey of marketed and investigational DNA interactors indicates that they are not immune to resistance development. Here, we report our strategy to achieve real resistance-resistant DNA targeting by incurring "catastrophic" DNA damage with an organoruthenium-natural product hybrid. The dual-mode DNA damage, in the form of strong tri-valent binding and concomitant oxidative modification, is achieved by manipulating of bacterias native endogenous ROS production mechanism upon lethal stress (such as DNA binding). Such self-escalating DNA damage, together with precise targeting of intracellular bacteria via vacuole fusion, thus endows the hybrids resistance-resistant lethality against mycobacteria and in vivo efficacy in animal models.

microbiology↗

Enzyme-mediated alkynylation enables transcriptome-wide identification of pseudouridine modifications

Pseudouridine ({Psi}) is one of the most abundant chemical modifications that exists in various types of RNA species and is known to play important roles in RNA function. The advances in studies of {Psi} in less abundant messenger RNA species have been hindered by a lack of suitable methods to precisely and sensitively map their distributions. Here we show that a methyltransferase from Methanocaldococcus jannaschii can label RNA {Psi} efficiently and specifically with various functional groups, both in isolated RNA and inside cells. We leveraged this enzymatic labeling strategy to develop ELAP-seq as a facile method to enrich {Psi}-modified transcripts for the detection of {Psi} modifications at single base resolution with high sensitivity and low background. Using this method, we identified over 10, 000 candidate {Psi} sites from human transcripts, which provides new insights into {Psi} biosynthesis and function. Our study provides a chemical biology method that specifically labels {Psi} for its detection and functional alteration.

biochemistry↗

Pooled effector library screening in protoplasts rapidly identifies novel Avr genes

Crop breeding for durable disease resistance is challenging due to the rapid evolution of pathogen virulence. While progress in resistance (R) gene cloning and stacking has accelerated in recent years 1-3, the identification of corresponding avirulence (Avr) genes in many pathogens is hampered by the lack of high-throughput screening options. To address this technology gap, we developed a platform for pooled library screening in plant protoplasts for rapid identification of interacting R/Avr pairs. We validated this platform by isolating known and novel Avr genes from wheat stem rust (Puccinia graminis f. sp. tritici) by screening a designed library of putative effectors against individual R genes. Rapid Avr gene identification provides molecular tools to understand and track pathogen virulence evolution by genotype surveillance and optimise R gene deployment and stacking strategies. This screening platform is broadly applicable to many crop pathogens, whilst also adaptable for screening genes involved in other protoplast-selectable traits.

plant biology↗

Spatiotemporal transcriptome atlas of human embryos after gastrulation

The spatial and temporal atlas of gene expression in the human embryo at early gestation is critical in understanding embryo development, organogenesis, and disease origins. We obtained the spatiotemporal transcriptome from 90 sagittal sections of 16 whole human embryos from 3 to 8 post-conception weeks by Stereo-seq with high resolution and ultra-large field, establishing the development trajectory/regulatory profiling of 49 organs. We uncovered the organ-specific regulons as potential lineage-determining factors and identified the new regulatory networks during heart and brain development. The atlas refines the key organs/cell types vulnerable to virus infection and genetic disorders, and, reveals the dynamics of allelic gene expression in specific organs at different stages. These results present the first comprehensive delineation of the spatiotemporal transcriptomic dynamics of human organogenesis. One Sentence SummaryThe spatiotemporal transcriptome atlas presents a comprehensive delineation of human embryogenesis after gastrulation.

developmental biology↗

Parallel Neurodegenerative Phenotypes in Sporadic Parkinsons Disease Fibroblasts and Midbrain Dopamine Neurons

Understanding the mechanisms causing Parkinsons disease (PD) is vital to the development of much needed early diagnostics and therapeutics for this debilitating condition. Here, we report cellular and molecular alterations in skin fibroblasts of late-onset sporadic PD subjects, that were recapitulated in matched induced pluripotent stem cell (iPSC)-derived midbrain dopamine (DA) neurons, reprogrammed from the same fibroblasts. Specific changes in growth, morphology, reactive oxygen species levels, mitochondrial function, and autophagy, were seen in both the PD fibroblasts and DA neurons, as compared to their respective controls. Additionally, significant alterations in alpha synuclein expression and electrical activity were also noted in the PD DA neurons. Interestingly, although the fibroblast and neuronal phenotypes were similar to each other, they also differed in their nature and scale. Furthermore, statistical analysis revealed novel associations between various clinical measures of the PD subjects and the different fibroblast and neuronal data. In essence, these findings encapsulate spontaneous, in-tandem, disease-related phenotypes in both sporadic PD fibroblasts and iPSC-based DA neurons, from the same patient, and generates an innovative model to investigate PD mechanisms with a view towards rational disease stratification and precision treatments.

neuroscience↗

ABI5-FLZ13 Module Transcriptionally Represses Growth-related Genes to Delay Seed Germination in Response to ABA

The bZIP transcription factor ABSCISIC ACID INSENSITIVE5 (ABI5) is a master regulator determining seed germination and postgerminative growth in response to abscisic acid (ABA), but the detailed molecular mechanism underlying the repression function of ABI5 in plant growth remains to be characterized. In this study, we used proximity labeling (PL) to map the neighboring proteome of ABI5 and identified FCS-LIKE ZINC FINGER PROTEIN 13 (FLZ13) as an up-to-now unknown ABI5-interacting partner. Phenotypic analysis of flz13 mutants and FLZ13-overexpressing lines demonstrated that FLZ13 acts as a positive regulator of ABA signaling. Interestingly, transcriptomic analysis showed that ABI5 and FLZ13 co-downregulate the expression of ABA-repressed and growth-related genes involved in chlorophyll biosynthesis, photosynthesis and cell wall organization, thereby repressing seed germination and seedling establishment in response to ABA. Further genetic analysis proved that FLZ13 works synergistically with ABI5 to regulate seed germination. Collectively, our study reveals a previously uncharacterized transcriptional regulatory mechanism regarding ABA-inhibited seed germination and seedling establishment.

plant biology↗

DPHL v2: An updated and comprehensive DIA pan-human assay library for quantifying more than 14,000 proteins.

A comprehensive pan-human spectral library is critical for biomarker discovery using mass spectrometry (MS)-based proteomics. DPHL v1, a previous pan-human library built from 1096 data-dependent acquisition (DDA) MS data of 16 human tissue types, allows quantifying 10,943 proteins. However, a major limitation of DPHL v1 is the lack of semi-tryptic peptides and protein isoforms, which are abundant in clinical specimens. Here, we generated DPHL v2 from 1608 DDA-MS data acquired using Orbitrap mass spectrometers. The data included 586 DDA-MS newly acquired from 17 tissue types, while 1022 files were derived from DPHL v1. DPHL v2 thus comprises data from 24 sample types, including several cancer types (lung, breast, kidney, and prostate cancer, among others). We generated four variants of DPHL v2 to include semi-tryptic peptides and protein isoforms. DPHL v2 was then applied to a publicly available colorectal cancer dataset with 286 DIA-MS files. The numbers of identified and significantly dysregulated proteins increased by at least 21.7% and 14.2%, respectively, compared with DPHL v1. Our findings show that the increased human proteome coverage of DPHL v2 provides larger pools of potential protein biomarkers.

bioinformatics↗

Metal-driven anaerobic oxidation of methane as an important methane sink in methanic cold seep sediments

Anaerobic oxidation of methane (AOM) coupled with reduction of metal oxides is supposed to be a globally important bioprocess in marine sediments. However, the responsible microorganisms and their contributions to methane budget are not clear in deep sea cold seep sediments. Here, we combined geochemistry, muti-omics and numerical modeling to study metal-dependent AOM in methanic cold seep sediments in the northern continental slope of the South China Sea. Geochemical data based on methane concentrations, carbon stable isotope, solid-phase sediment analysis and pore water measurements indicate the occurrence of anaerobic methane oxidation coupled to metal oxides reduction in the methanic zone. The 16S rRNA gene amplicons and transcripts, along with metagenomic and metatranscriptomic data suggest that diverse ANME groups actively mediated methane oxidation in the methanic zone either independently or in syntrophy with e.g. ETH-SRB1 as potential metal reducers. Modeling results suggest that the estimated rates of methane consumption via Fe-AOM and Mn-AOM were both 0.3 mol cm-2 yr-1, which account for [~]3% of total CH4 removal in sediments. Overall, our results highlight metal-driven anaerobic oxidation of methane as an important methane sink in methanic cold seep sediments.

microbiology↗

Proteomic Landscape of Human Spermatozoa: Optimized Extraction Method and Application

Human spermatozoa proteomics exposed to some physical, biological or chemical stressors is being explored. However, there is a lack of optimized sample preparation methods to achieve in-depth protein coverage for sperm cells. Meanwhile, it is not clear whether antibiotics can regulate proteins to affect sperm quality. Here, we systematically compared a total of six different protein extraction methods based the combination of three commonly used lysis buffers and physical lysis strategies. The urea buffer combined with ultrasonication (UA_ultrasonication) produced the highest protein extraction rate, leading to the deepest coverage of human sperm proteome (5685 protein groups) from healthy human sperm samples. Since the antibiotics, amoxicillin and clarithromycin, have been widely used against H. pylori infection, we conduct a longitudinal study of sperm proteome via data-independent acquisition tandem mass spectrometry (DIA-MS/MS) on an infected patient during on and off therapy with these two drugs. The semen examination and morphological analysis were performed combined with proteomics analysis. Our results indicated that antibiotics may cause an increase in the sperm concentration and the rate of malformed sperm and disrupt proteome expression in sperm. This work provides an optimized extraction method to characterize the in-depth human sperm proteome and to extend its clinical applications.

biochemistry↗

The velvet family proteins mediate low resistance to isoprothiolane in Magnaporthe oryzae

Isoprothiolane (IPT) resistance has emerged in Magnaporthe oryzae, due to the long-term usage of IPT to control rice blast in China, yet the mechanisms of the resistance remain largely unknown. Through IPT adaptation on PDA medium, we obtained a variety of IPT-resistant mutants. Based on their EC50 values to IPT, the resistant mutants were mainly divided into three distinct categories i.e., low resistance (LR, 6.5 [&le;] EC50 < 13.0 g/mL), moderate resistance 1 (MR-1, 13.0 [&le;] EC50 < 25.0 g/mL), and moderate resistance 2 (MR-2, 25.0 [&le;] EC50 < 35.0 g/mL). Molecular analysis of MoIRR (Magnaporthe oryzae isoprothiolane resistance related) gene demonstrated that it was associated only with the moderate resistance in MR-2 mutants, indicating that other mechanisms were associated with resistance in LR and MR-1 mutants. In this study, we mainly focused on the characterization of low resistance to IPT in M. oryzae. Mycelial growth and conidial germination were significantly reduced, indicating fitness penalties in LR mutants. Based on the differences of whole genome sequences between parental isolate and LR mutants, we identified a conserved MoVelB gene, encoding the velvet family transcription factor, and genetic transformation of wild type isolate verified that MoVelB gene was associated with the low resistance. Based on molecular analysis, we further demonstrated that the velvet family proteins VelB and VeA were indispensable for IPT toxicity and the deformation of the LaeA-VeA-VelB heterotrimer played a vital role for the low IPT-resistance in M. oryzae, most likely through the down-regulation of the secondary metabolism-related genes or CYP450 genes to reduce the toxicity of IPT. Author summaryIsoprothiolane (IPT) resistance has emerged in Magnaporthe oryzae, due to the long-term usage of IPT to control rice blast in China, yet the mechanisms of the resistance remain largely unknown. Here, we explored the mechanisms of low IPT resistance in M. oryzae. Combining the whole genome sequencing and genetic transformation, we identified a conserved MoVelB gene, encoding the velvet family transcription factor to be a determinant for IPT toxicity. We further demonstrated that the deformation of the LaeA-VeA-VelB heterotrimer conferred the low IPT-resistance in M. oryzae, most likely through down-regulating the secondary metabolism-related genes or CYP450 genes to reduce the toxicity of IPT. This study improved our understanding of the resistance mechanism as well as the mode of action of IPT which will be helpful for making suitable strategies to manage the emerging resistance of IPT in M. oryzae.

microbiology↗

DeepCCI: a deep learning framework for identifying cell-cell interactions from single-cell RNA sequencing data

With the rapid development of high throughput single-cell RNA sequencing (scRNA-seq) technologies, it is of high importance to identify Cell-cell interactions (CCIs) from the ever-increasing scRNA-seq data. However, limited by the algorithmic constraints, current computational methods based on statistical strategies ignore some key latent information contained in scRNA-seq data with high sparsity and heterogeneity. To address the issue, here, we developed a deep learning framework named DeepCCI to identify meaningful CCIs from scRNA-seq data. Applications of DeepCCI to a wide range of publicly available datasets from diverse technologies and platforms demonstrate its ability to predict significant CCIs accurately and effectively.

bioinformatics↗

Deciphering Spatial Domains by Integrating Histopathological Image and Transcriptomics via Contrastive Learning

Recent advances in spatial transcriptomics have enabled measurements of gene expression at cell/spot resolution meanwhile retaining both the spatial information and the histopathological images of the tissues. Deciphering the spatial domains of spots in the tissues is a vital step for various downstream tasks in spatial transcriptomics analysis. Existing methods have been developed for this purpose by combining gene expression and histopathological images to conquer noises in gene expression. However, current methods only use the histopathological images to construct spot relations without updating in the training stage, or simply concatenate the information from gene expression and images into one feature vector. Here, we propose a novel method ConGI to accurately decipher spatial domains by integrating gene expression and histopathological images, where the gene expression is adapted to image information through contrastive learning. We introduce three contrastive loss functions within and between modalities to learn the common semantic representations across all modalities while avoiding their meaningless modality-private noise information. The learned representations are then used for deciphering spatial domains through a clustering method. By comprehensive tests on tumor and normal spatial transcriptomics datasets, ConGI was shown to outperform existing methods in terms of spatial domain identification. More importantly, the learned representations from our model have also been used efficiently for various downstream tasks, including trajectory inference, clustering, and visualization.

bioinformatics↗

Designing a Minimal Artificial Glycolytic Pathway

The canonical glycolysis generates two molecules of acetyl-coenzyme A (acetyl-CoA) from one glucose through eleven cascade biochemical reactions. Here, we designed and constructed a Minimal Artificial Glycolytic (MAG) pathway consisting of only three types of biochemical reactions, with phosphoketolase as the core, combined with phosphatase and isomerase as auxiliary enzymes. It could theoretically achieve a 100% carbon yield to acetyl-CoA from any monosaccharide by integrating one-carbon condensation reaction. We tested the MAG pathway in vitro and in vivo, demonstrating the catabolism of typical C1-C6 carbohydrates to acetyl-CoA with yields from 82% to 95%. This novel glycolytic pathway provides a promising route for biomanufacturing with stoichiometric productivity from multiple carbon sources in the future.

synthetic biology↗