Biology subjects

Huang, F.

Publications and source records attributed to Huang, F..

At least 73 records · Page 4Linked to original sources

bioRxiv2023

The central nervous system is a potential reservoir and possible origin of drug resistance in HBV

The significance of HBV in cerebrospinal fluid (CSF) is unclear. In the present study, synchronous serum and CSF samples were collected from 13 patients. HBV-DNA, full-length genome, quasispecies, phylogenetic tree, compartmentalization and mutation of reverse transcriptase (RT) region analyses were performed based on PCR and sequencing methods. We found HBV-DNA was detected in the CSF of 3 antiviral-naive patients and one patient after successful antiviral therapy. Complete full-length HBV genomes were isolated from the CSF of 5 patients, including 2 patients with undetectable serum HBV-DNA. Ten patients exhibited distinct CSF-serum quasispecies, 8 harbored independent CSF-serum genetic compartmentalization and phylogenetic trees, and 5 patients presented lamivudine/entecavir-associated resistance mutations in only the CSF. The frequencies of rtL180M and rtM204I/V mutations in both serum and CSF were higher in HIV/HBV-coinfected patients than in HBV-monoinfected patients (serum: rtL180M: 3.9% vs. 0, P = 0.004; rtM204I/V: 21.3% vs. 0, P < 0.001; CSF: rtL180M: 7.6% vs. 0, P = 0.026; rtM204I/V 7.6% vs. 1.6%, P = 0.097). Our data suggested CSF is a potential HBV reservoir, and HBV in CSF harbors distinct evolution and mutation models from that in serum. HIV infection increases the possibility of HBV rtL180M and rtM204I/V mutations in both serum and CSF.

evolutionary biology↗

bioRxiv2023

Real-Time Quantification of Cell Mechanics and Functions by Double Resonator Piezoelectric Cytometry -Theory and Study of Cellular Adhesion of HUVECs

Cell mechanics is closely associated with cellular structure and function. However, the inability to measure both cellular force and viscoelasticity of statistically significant number of cells noninvasively remains a challenge for quantitative characterizations of various cellular functions and practical applications. Here a double resonator piezoelectric cytometry (DRPC), using AT and BT cut quartz crystals of the same frequency and surface morphology is developed to simultaneously quantify the cells-generated forces ({Delta}S) and viscoelastic moduli (G', G'') of a population of isolated single cells or cells with different degrees of cell-cell interactions in a non-invasive and real time manner. DRPC captures the dynamic mechanical parameters {Delta}S and G', G'' during the adhesions of human umbilical vein endothelial cells (HUVECs) under different ligand densities of adhesion molecules fibronectin or Arg-Gly-Asp (RGD) modified on the gold surfaces of 9 MHz AT and BT cut quartz crystals, and different seeding densities of HUVECs. It is found that both the ligand density and cell seeding density affect the magnitudes of {Delta}S and G', G'' and their correlations are revealed for the first time by DRPC. The validity of DRPC is further verified by mechanical changes of the cells in response to treatments with cytoskeleton regulators.

biophysics↗

bioRxiv2023

A deep learning-based stripe self-correction method for stitched microscopic images

The stitched fluorescence microscope images inevitably exist in various types of stripes or artifacts caused by uncertain factors such as optical devices or specimens, which severely affects the image quality and downstream quantitative analysis. In this paper, we present a deep learning-based Stripe Self-Correction method, so-called SSCOR. Specifically, we propose a proximity sampling scheme and adversarial reciprocal self-training paradigm that enable SSCOR to utilize stripe-free patches sampled from the stitched microscope image itself to correct their adjacent stripe patches. Comparing to off-the-shelf approaches, SSCOR can not only adaptively correct non-uniform, oblique, and grid stripes, but also remove scanning, bubble, and out-of-focus artifacts, achieving the state-of-the-art performance across different imaging conditions and modalities. Moreover, SSCOR does not require any physical parameter estimation, patch-wise manual annotation, and raw stitched information in the correction process, which provides an intelligent image quality optimization solution for microscopist or even microscope company, and facilitates more precise biomedical applications for researchers.

bioinformatics↗

bioRxiv2023

Chloroquine induces eryptosis in P. falciparum-infected red blood cells and the release of extracellular vesicles with a unique protein profile

Malaria is a vector-borne parasitic disease that affects millions worldwide. In order to reach the objective, set by the World Health Organization to decrease the cases by 2030, antimalarial drugs with novel modes of action are required. Previously, a novel mechanism of action of chloroquine (CQ) was reported involving features of programmed cell death in the parasite, mainly characterized by calcium efflux from the digestive vacuole (DV) permeabilization. Increased intracellular calcium induces the suicidal death of erythrocytes also known as eryptosis. This study aimed to identify the hallmarks of eryptosis due to calcium redistribution and the downstream cellular effects during CQ treatment in iRBCs. Plasmodium falciparum 3D7 at mid-late trophozoites were used for the antimalarial drug treatment. Our results revealed increased phosphatidylserine (PS) exposure, cell shrinkage and membrane blebbing, delineating an eryptotic phenotype in the host RBC. Interestingly, the blebs on the surface of the iRBCs released to the extracellular milieu become extracellular vesicles (EVs) which are essential for intercellular communication due to their cargo of proteins, nucleic acids, lipids and metabolites. The proteomic characterization displayed 2 highly enriched protein clusters in EVs from CQ-treated iRBCs, the proteasome and ribosome. We demonstrated that this unique protein cargo is not associated with the parasite growth rate. Additionally, we found that these particular EVs might activate IFN signaling pathways mediated by IL-6 in THP-1-derived macrophages. Our findings shed new insights into a novel drug-induced cell death mechanism that targets the parasite and specific components of the infected host RBC. IMPORTANCEOur previous studies have shown that chloroquine (CQ) treatment in iRBCs triggers Plasmodium falciparum digestive vacuole (DV) membrane permeabilization leading to calcium redistribution. Interestingly, increased intracellular calcium concentration is the main inducer of the suicidal death of red blood cells (RBCs) called eryptosis. The present study shed new insights into a novel CQ-induced cell death mechanism that targets the parasite and the infected host RBC by inducing key phenotypic hallmarks of eryptosis: PS exposure, cell shrinkage and membrane blebbing. Moreover, the proteomic characterization of the blebs released to the extracellular milieu also known as extracellular vesicles (EVs) revealed a cargo highly enriched in ribosomal proteins and proteasome subunits relevant for host-parasite interactions. These findings highlight CQs effect on calcium homeostasis disruption in infected red blood cells (iRBCs) with cellular and immunological consequences of great significance for malaria pathogenesis and potential clinical implications.

cell biology↗

bioRxiv2022

Disrupting peroxisomes alters lipid metabolism in melanoma and uncovers a novel therapeutic vulnerability in combination with MAPK-targeted therapies

Melanomas reprogram their metabolism to rapidly adapt to therapy-induced stress conditions, allowing them to persist and ultimately develop resistance. We report that a subpopulation of melanoma cells tolerate MAPK pathway inhibitors (MAPKi) through a concerted metabolic reprogramming mediated by peroxisomes and UDP-glucose ceramide glycosyltransferase (UGCG). Compromising peroxisome biogenesis, by repressing PEX3 expression, potentiates the pro-apoptotic effects of MAPKi via an induction of ceramides, an effect limited by UGCG-mediated ceramide metabolism. Co-targeting PEX3 and UGCG selectively eliminates a subset of metabolically active, drug-tolerant CD36+ melanoma persister cells, thereby sensitizing melanoma to MAPKi and delaying resistance. Increased levels of peroxisomal genes and UGCG are found in patient-derived MAPKi-relapsed melanomas, and simultaneously inhibiting PEX3 and UGCG restores MAPKi sensitivity in multiple models of therapy resistance. Finally, triple therapy comprised of a newly identified inhibitor of the PEX3-PEX19 interaction, a UGCG inhibitor and a MAPKi demonstrates potent anti-tumor activity in pre-clinical melanoma models, thus representing a promising approach for melanoma treatment. HighlightsO_LIInhibiting peroxisome biogenesis uncovers a metabolic vulnerability in melanoma C_LIO_LICD36+ persister melanoma cells tolerate MAPK-targeted therapy through peroxisome/UGCG mediated metabolic rewiring C_LIO_LIDual blockade of PEX3 and UGCG potentiates melanoma response to MAPK-targeted therapies and restores therapeutic sensitivity in MAPKi-resistant tumors C_LIO_LINNC 55-0396 is a PEX3-PEX19 binding inhibitor with potent anti-tumor activity in melanoma C_LI

cancer biology↗

bioRxiv2022

Atypical peripheral actin band formation via overactivation of RhoA and Non-muscle myosin II in Mitofusin 2 deficient cells

Cell spreading and migration play central roles in many physiological and pathophysiological processes. We have previously shown that MFN2 regulates the migration of human neutrophillike cells via suppressing Rac activation. Here, we show that in mouse embryonic fibroblasts, MFN2 suppresses RhoA activation and supports cell polarization. After the initial spreading period, the wild-type cells polarize and migrate, whereas the Mfn2-/- cells maintain a circular shape. Increased cytosolic Ca2+ resulting from the loss of Mfn2 is directly responsible for this phenotype, which can be rescued by expressing an artificial tether to bring mitochondria and ER to close vicinity. Elevated cytosolic Ca2+ activates Ca2+/calmodulin-dependent protein kinase II, RhoA, and Myosin light-chain kinase, causing an over-activation of non-muscle myosin II and a formation of a prominent F-actin ring at the cell periphery and increased cell contractility. The formation of the peripheral actin band alters cell physics and is dependent on substrate rigidity. Our results provide a novel molecular basis to understand how MFN2 regulates distinct signaling pathways in different cells and tissue environments, which is instrumental in understanding and treating MFN2-related diseases.

cell biology↗

bioRxiv2022

Meta-analysis refinement of plasma extracellular vesicle composition identifies proplatelet basic protein as a signaling messenger in type 1 diabetes

Extracellular vesicles (EVs) play important roles in cell-to-cell communication and are potential biomarkers as they carry markers of their derived tissues and disease signatures. However, obtaining pure EV preparations from biofluids is challenging due to contaminants with similar physicochemical properties. Here, we performed a meta-analysis of plasma EV proteomics data deposited in public repositories to refine the protein composition of EVs and investigate potential roles in type 1 diabetes development. With the concept that each purification method yields different proportions of distinct contaminants, we grouped proteins into clusters based on their abundance profiles. This allowed us to separate clusters with classical EV markers, such as CD9, CD40, C63 and CD81, from clusters of well-known contaminants, such as serum albumin, apolipoproteins and components of the complement and coagulation pathways. Two clusters containing a total of 1720 proteins combined were enriched with EV markers and depleted in common contaminants; therefore, they were considered to contain bona fide EV components. As possible origins of plasma EVs, these clusters had markers of tissues such as spleen, liver, brain, lungs, pancreas, and blood/immune cells. These clusters were also enriched in cell surface markers CD antigens, and proteins from cell-to-cell communication and signaling pathways, such as chemokine signaling and antigen presentation. We also show that the EV component and type 1 diabetes biomarker, platelet basic protein (PPBP/CXCL7) regulates apoptosis in both beta and macrophage cell lines. Overall, our meta-analysis refined the composition of plasma EVs, reinforcing a primary function as messengers for cell-to-cell communication and signaling. Furthermore, this analysis identifies optimal avenues to target EVs for development of disease biomarkers.

cell biology↗

bioRxiv2022

KMer-Node2Vec: Learning Vector Representations of K-mers from the K-meGraph

Learning low-dimensional continuous vector representation for short k-mers divided from long DNA sequences is key to DNA sequence modeling that can be utilized in many bioinformatics investigations, such as DNA sequence classification and retrieval. DNA2Vec is the most widely used method for DNA sequence embedding. However, it poorly scales to large data sets due to its extremely long training time in kmer embedding. In this paper, we propose a novel efficient graph-based kmer embedding method, named Kmer-Node2Vec, to tackle this concern. Our method converts the large DNA corpus into one kmer co-occurrence graph and extracts kmer relation on the graph by random walks to learn fast and high-quality kmer embedding. Extensive experiments show that our method is faster than DNA2Vec by 29 times for training on a 4GB data set, and on par with DNA2Vec in terms of task-specific accuracy of sequence retrieval and classification.

bioinformatics↗

bioRxiv2022

Analysis of the mechanism of castor tolerance to Cd metal based on proteomics and metabolomics

The pollution of soil with heavy metals is an increasingly serious worldwide problem, and cadmium (Cd) has attracted attention because of its high toxicity to almost all plants. Since castor tolerates the accumulation of heavy metals, it has the potential for heavy metal soil remediation. We studied the mechanism of the tolerance of castor to Cd stress treatments at three doses: 300 mg/L, 700 mg/L, and 1,000 mg/L. Our research provides new ideas for revealing the defense and detoxification mechanisms of Cd-stressed castor. By combining the results of physiology, differential proteomics and comparative metabolomics, we conducted a comprehensive analysis of the networks that regulate the response of castor to Cd stress. The physiological results mainly emphasize the super-sensitive responses of castor plant roots to Cd stress and the effects of Cd stress on plants antioxidant system, ATP synthesis and ion homeostasis. We confirmed these results at the protein and metabolite levels. At the same time, proteomics and metabolomics show that castor plants mainly block the root systems absorption of Cd2+ by enhancing the strength of the cell wall, and inducing programmed cell death in response to the three different doses of Cd stress. In addition, the plasma membrane ATPase encoding gene (RcHA4), which was significantly upregulated in our differential proteomics and RT-qPCR studies, was transgenically overexpressed in wild type Arabidopsis thaliana for functional verification. The results indicated that this gene plays an important role in improving plant Cd tolerance.

molecular biology↗

bioRxiv2022

GIS-based approach and multivariate statistical analysis for identifying sources of heavy metals in marine sediments from the coast of Hong Kong.

Multiple methods consisting of geographic information system (GIS) technique, enrichment factor (EF), potential ecological risk index (PEI) and multivariate statistical methods was developed to identify anthropogenic heavy metal sources in marine sediments of Hong Kong. The distributions of heavy metals in sediments have been analyzed, and their pollution degrees, corresponding potential ecological risks and source identifications have been studied using geo-accumulation index, potential ecological risk index and integrated multivariate statistical methods, respectively. Three different types of anthropogenic inputs could be identified via multivariate analysis. Acoording to the findings, the first principal component might originate from the industrial discharges and shipping activities. The second principal component were identified from the natural sources. The third component mainly from the municipal discharges and industrial wastewater. These results provide baseline information for both the coastal environment management and the worldwide heavy metal distribution and assessment.

ecology↗

bioRxiv2022

Comprehensive characterization of the transcriptional response to COVID-19 in multiple organs reveals shared signatures across tissues

Infection by Coronavirus SARS-CoV2 is a severe and often deadly disease that has implications for the respiratory system and multiple organs across the human body. While the effects in the lung have been extensively studied, less is known about COVID-19s cellular impact across other organs. Here we contribute a single-nuclei RNA sequencing atlas comprising six human organs across 20 autopsies where we analyzed the transcriptional changes due to COVID-19 in multiple cell types. Computational cross-organ analysis for endothelial cells and macrophages identified systemic transcriptional changes in these cell types in COVID-19 samples. In addition, analysis of signaling pathways from multiple datasets showed several systemic dysregulations of signaling interaction in different cell types. Altogether, the COVID Tissue Atlas enables the investigation of both cell type-specific and cross-organ transcriptional responses to COVID-19, providing insights into the molecular networks affected by the disease and highlighting novel potential targets for therapies and drug development.

genomics↗

bioRxiv2022

A bacterial E2 enzyme regulates an antiviral cGAS through a peptide exchange-ligation-cleavage mechanism

The cyclic oligonucleotide-based anti-phage signaling system (CBASS) is a family of defense system in prokaryotes1, 2. Composed of a cyclic GMP-AMP synthase (cGAS) and CBASS-associated proteins, CBASS utilizes cyclic oligonucleotides to activate antiviral immunity3-6. One major group of CBASS-associated proteins are homologs of eukaryotic E2 ubiquitin-conjugating enzymes. However, the function of E2 in CBASS remains elusive. Here, we report that a bacterial E2 enzyme regulates cGAS by imitating the entire ubiquitination cascade. This includes the processing of the cGAS C-terminus, conjugation of cGAS to a cysteine residue, ligation of cGAS to a lysine residue, cleavage of the isopeptide bond, and poly-cGASylation. The poly-cGASylation fully activates cGAS to produce cGAMP, which acts as an antiviral signal and leads to cell death. Our findings reveal unique regulatory roles of E2 in CBASS and provide insights into the origin of the ubiquitin system.

microbiology↗

bioRxiv2022

Chlamydomonas mutant hpm91 lacking PGR5 is a scalable and valuable strain for algal hydrogen (H2) production

Clean and sustainable H2 production is essential toward a carbon-neutral world. H2 generation by Chlamydomonas reinhardtii is an attractive approach for solar-H2 from H2O. However, it is currently not scalable because of lacking ideal strains. Here, we explore hpm91, a previously reported PGR5-deletion mutant with remarkable H2 production, that possesses numerous valuable attributes towards large-scale application and in-depth study issues. We show that hpm91 is at least 100-fold scalable (upto 10 liter) with H2 collection sustained for averagely 26 days and 7287 ml H2/10L-HPBR. Also, hpm91 is robust and active over the period of sulfur-deprived H2 production, most likely due to decreased intracellular ROS relative to wild type. Moreover, quantitative proteomic analysis revealed its features in photosynthetic antenna, primary metabolic pathways and anti-ROS responses. Together with success of new high-H2-production strains derived from hpm91, we highlight that hpm91 is a potent strain toward basic and applied research of algal-H2 photoproduction.

biochemistry↗

bioRxiv2022

A Proposal for Finite But Unbounded Human Lifetimes

Close analysis of an extensive data set combined with independent evidence prompts our proposal to view human lifetimes as individually finite but collectively unbounded. We formulate a model incorporating this idea whose predictions agree very well with the observed data. In the model, human lifetimes are theoretically unbounded, but the probability of an individual living to an extreme age is negligible, so lifetimes are effectively limited. Our model incorporates a mortality hazard rate plateau and a late-life mortality deceleration effect in conjunction with a newly observed advanced age mortality acceleration. This reconciles many previously observed effects. The model is temporally stable: consistent with observation, parameters do not change over time. As an application, assuming no major medical advances, we predict the emergence of many individuals living past 120, but due to accelerating mortality find it unlikely that any will subsequently survive to an age of 125.

systems biology↗

bioRxiv2022

P-TEFb is degraded by Siah1/2 in quiescent cells

P-TEFb, composed of CycT1 and CDK9, regulates the elongation of transcription by RNA polymerase II. In proliferating cells, it is regulated by 7SK snRNA in the 7SK snRNP complex. In resting cells, P-TEFb is absent, because CycT1 is dephosphorylated, released from CDK9 and rapidly degraded. In this study, we identified the mechanism of this degradation. We mapped the ubiquitination and degradation of free CycT1 to its N-terminal region from positions 1 to 280. This region is ubiquitinated at six lysines, where E3 ligases Siah1 and Siah2 bind and degrade these sequences. Importantly, the inhibition of Siah1/2 rescued the expression of free CycT1 in proliferating as well as resting primary cells. We conclude that Siah1/2 are the E3 ligases that bind and degrade the dissociated CycT1 in resting, terminally differentiated, anergic and/or exhausted cells.

biochemistry↗

bioRxiv2021

Connectome-wide association analysis identified significant brain functional alteration in adults with attention-deficit/hyperactivity disorder

Adults with attention-deficit/hyperactivity disorder (ADHD), as an extreme-phenotype of ADHD, is still facing problems of inconsistency and undeciphered mechanisms for its neuropathology. To address this matter, our present study performed connecotome-wide voxel-based analyses with the resting-state fMRI data of 84 adults with ADHD and 89 healthy controls. We found that functional connectivity patterns of the left precuneus and the left middle temporal significantly altered in ADHD populations serving as potential neural biomarkers to distinguish ADHD with healthy controls, with subsequent seed-based analysis revealing the dysfunction of functional connections both intra- and inter-default mode and attention networks, among which middle temporal gyrus plays the key role of bridge linking the default mode and attention networks. After cognitive behavioral therapy, two of these ADHD-altered functional connections ameliorated accompanied with improvement of ADHD core symptoms. Additionally, imaging genetic analyses also revealed close relationships between the observed brain functional alterations and ADHD-risk genes. Taken together, our findings suggested the interference of default mode on attention networks in adults with ADHD, which would be severing as a potential biomarker for both ADHD pathogenesis and treatment effects.

neuroscience↗

bioRxiv2021

tRForest: a novel random forest-based algorithm for tRNA-derived fragment target prediction

tRNA fragments (tRFs) are small RNAs comparable to the size and function of miRNAs. tRFs are generally Dicer independent, are found associated with Ago, and can repress expression of genes post-transcriptionally. Given that this expands the repertoire of small RNAs capable of post-transcriptional gene expression, it is important to predict tRF targets with confidence. Some attempts have been made to predict tRF targets, but are limited in the scope of tRF classes used in prediction or limited in feature selection. We hypothesized that established miRNA target prediction features applied to tRFs through a random forest machine learning algorithm will immensely improve tRF target prediction. Using this approach, we show significant improvements in tRF target prediction for all classes of tRFs and validate our predictions in two independent cell lines. Finally, Gene Ontology analysis suggests that among the tRFs conserved between mice and humans, the predicted targets are enriched significantly in neuronal function, and we show this specifically for tRF-3009a. These improvements to tRF target prediction further our understanding of tRF function broadly across species and provide avenues for testing novel roles for tRFs in biology. We have created a publicly available website for the targets of tRFs predicted by tRForest.

bioinformatics↗

bioRxiv2021

Cell transcriptomic atlas of the non-human primate Macaca fascicularis

Studying tissue composition and function in non-human primates (NHP) is crucial to understand the nature of our own species. Here, we present a large-scale single-cell and single-nucleus transcriptomic atlas encompassing over one million cells from 43 tissues from the adult NHP Macaca fascicularis. This dataset provides a vast, carefully annotated, resource to study a species phylogenetically close to humans. As proof of principle, we have reconstructed the cell-cell interaction networks driving Wnt signalling across the body, mapped the distribution of receptors and co-receptors for viruses causing human infectious diseases and intersected our data with human genetic disease orthologous coordinates to identify both expected and unexpected associations. Our Macaca fascicularis cell atlas constitutes an essential reference for future single-cell studies in human and NHP.

cell biology↗