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Hao, J.

Publications and source records attributed to Hao, J..

84 records · Page 5Linked to original sources

Tumor-stromal IL1β/ NFκB / ESE3 Signal Axis Drives Pancreatic Cancer Fibrosis, Chemoresistance, Prognosis

Pancreatic stellate cells (PSCs) play a pivotal role in pancreatic fibrosis and pancreatic ductal adenocarcinoma (PDAC) progression. The mechanisms controlling PSC activation is not completely understood. Here we investigated the role of ESE3 (Epithelium-Specific ETS factor 3) in PSC activation. We discovered that in PDAC patients ESE3 expression was increased in PSC while decreased in tumor cells. ESE3 overexpression in PSC promoted PSC activation. Condition medium from ESE3-overexprssing PSC promotes PDAC cell migration, chemoresistance, tumor growth and fibrosis. ESE3 directly induced the transcription of -SMA, Collagen 1 and IL-1{beta} by binding to ESE3 binding sites on their promoters to activate PSC. On the other hand, IL-1{beta} upregulates ESE3 in PSC through NF{kappa}B activation and ESE3 is required for PSC activation by tumor cell derived IL-1{beta}. Clinical data showed ESE3 upregulation in PSC was positively correlated with tumor size, pTNM stage, CA19-9, CEA and CA242 level in serum. ESE3 overexpression in PSC was an independent negative prognostic factor for disease-free survival and overall survival among PDAC patients. Inhibition of the IL-1{beta}/ ESE3 (PSC)/ IL-1{beta} positive feedback loop represents a promising therapeutic strategy to reduce tumor fibrosis and increase chemotherapeutic efficacy in PDAC.

cancer biology↗

Bio-JOIE: Joint Representation Learning of Biological Knowledge Bases

The widespread of Coronavirus has led to a worldwide pandemic with a high mortality rate. Currently, the knowledge accumulated from different studies about this virus is very limited. Leveraging a wide-range of biological knowledge, such as gene on-tology and protein-protein interaction (PPI) networks from other closely related species presents a vital approach to infer the molecular impact of a new species. In this paper, we propose the transferred multi-relational embedding model Bio-JOIE to capture the knowledge of gene ontology and PPI networks, which demonstrates superb capability in modeling the SARS-CoV-2-human protein interactions. Bio-JOIE jointly trains two model components. The knowledge model encodes the relational facts from the protein and GO domains into separated embedding spaces, using a hierarchy-aware encoding technique employed for the GO terms. On top of that, the transfer model learns a non-linear transformation to transfer the knowledge of PPIs and gene ontology annotations across their embedding spaces. By leveraging only structured knowledge, Bio-JOIE significantly outperforms existing state-of-the-art methods in PPI type prediction on multiple species. Furthermore, we also demonstrate the potential of leveraging the learned representations on clustering proteins with enzymatic function into enzyme commission families. Finally, we show that Bio-JOIE can accurately identify PPIs between the SARS-CoV-2 proteins and human proteins, providing valuable insights for advancing research on this new disease.

bioinformatics↗

Designed peptides as potential fusion inhibitors against SARA-CoV-2 coronavirus infection

Inspired by fusion-inhibitory peptides from heptad repeat 1 (HR1) and heptad repeat 2 (HR2) domains from human immuno-deficiency virus type 1 (HIV-1) envelope glycoprotein gp41 and severe acute respiratory syndrome-coronavirus (SARS-CoV) based on viral fusogenic mechanism in the present work, we provided a similar approach to design the synthesized peptides against the entry into host cells of SARA-CoV-2 virus that causes 2019 novel coronavirus disease (COVID-19). These peptides derived from HR1 and HR2 of SARA-CoV-2 spike protein were further tested for their interaction and potential fusion possibility through circular dichroism spectrum. Here we used the peptide COVID-2019-HR1P1 (40 amino acids) as the target, which was derived from HR1 of SARA-CoV-2 spike protein, while the designed peptides including COVID-2019-HR2P1 (37 amino acids), COVID-2019-HR2P2 (32 amino acids) and others derived from HR2 of SARA-CoV-2 were tested for their binding to COVID-2019-HR1P1. Interestingly, results showed that both COVID-2019-HR2P1 and COVID-2019-HR2P2 can form the complex with COVID-2019-HR1P1, respectively. This implied that these designed peptides could play an important role in blocking SARA-CoV-2 entry into mammalian host cells via viral fusogenic mechanism, and thus could be used for preventing SARA-CoV-2 infection.

microbiology↗

Immunity-and-Matrix-Regulatory Cells Derived from Human Embryonic Stem Cells Safely and Effectively Treat Mouse Lung Injury and Fibrosis

Lung injury and fibrosis represent the most significant outcomes of severe and acute lung disorders, including COVID-19. However, there are still no effective drugs to treat lung injury and fibrosis. In this study, we report the generation of clinical-grade human embryonic stem cells (hESCs)-derived immunity- and matrix-regulatory cells (IMRCs) produced under good manufacturing practice (GMP) requirements, that can treat lung injury and fibrosis in vivo. We generate IMRCs by sequentially differentiating hESCs with serum-free reagents. IMRCs possess a unique gene expression profile distinct from umbilical cord mesenchymal stem cells (UCMSCs), such as higher levels of proliferative, immunomodulatory and anti-fibrotic genes. Moreover, intravenous delivery of IMRCs inhibits both pulmonary inflammation and fibrosis in mouse models of lung injury, and significantly improves the survival rate of the recipient mice in a dose-dependent manner, likely through paracrine regulatory mechanisms. IMRCs are superior to both primary UCMSCs and FDA-approved pirfenidone, with an excellent efficacy and safety profile in mice and monkeys. In light of public health crises involving pneumonia, acute lung injury (ALI) and acute respiratory distress syndrome (ARDS), our findings suggest that IMRCs are ready for clinical trials on lung disorders.

cell biology↗

The effects of soil depth on the structure of microbial communities in agricultural soils in Iowa, USA

The determination of how microbial community structure changes within the soil profile, will be beneficial to understanding the long-term health of agricultural soil ecosystems and will provide a first step towards elucidating how deep soil microbial communities contribute to carbon sequestration. This study aimed to investigate the differences in the microbial community abundance, composition and diversity throughout from the surface layers down to deep soils in corn and soybean fields in Iowa, USA. We used 16S rRNA amplicon sequencing of soil samples to characterize the change in microbial community structure. Our results revealed decreased richness and diversity in bacterial community structure with increasing soil depth. We also observed distinct distribution patterns of bacterial community composition along soil profiles. Soil and root data at different depths enabled us to demonstrate that the soil organic matter, soil bulk density and plant water availability were all significant factors in explaining the variation in soil microbial community composition. Our findings provide valuable insights in the changes in microbial community structure to depths of 180 cm in one of the most productive agricultural regions in the world. This knowledge will be important for future management and productivity of agroecosystems in the face of increasing demand for food and climate change.

microbiology↗

Isopropoxy benzene guanidine kills Staphylococcus aureus without detectable resistance

Antibiotic resistance is a serious public health crisis. The challenge caused by Staphylococcus aureus infections clearly urges the development of novel antimicrobial therapy. Drug repurposing has emerged as an alternative approach to rapidly identify effective drugs against multidrug-resistant bacteria. Recently, substituted benzene guanidine compounds have been used as leading structures to discover new promising drugs in both synthetic and medicinal chemistry. We investigated the antimicrobial activity of an analog of substituted benzene guanidine compounds (isopropoxy benzene guanidine) and further explored its antibacterial mechanism against S. aureus. Isopropoxy benzene guanidine had a MIC of 0.125-4g/ml against S. aureus and displayed potent activity against S. aureus by disrupting cell membrane. Unlike conventional antibiotics, repeated use of isopropoxy benzene guanidine had a low probability of resistance section. The most substantial isopropoxy benzene guanidine-induced changes occurred in transcript levels of membrane transport functions-regulated genes, and genes involved in purine- and pyrimidine-synthesis pathway and virulence factors. Furthermore, in vivo studies demonstrated that isopropoxy benzene guanidine is capable of treating invasive MRSA infections. These findings provided strong evidence that isopropoxy benzene guanidine represents a new chemical lead for novel antibacterial agent against multidrug-resistant S. aureus infections.

microbiology↗

Seneca Valley virus intercellular transmission mediated by exosomes

Exosomes are cup-shaped vesicles that are secreted by cells and are involved in the intercellular transport of a variety of substances, including proteins, RNA, and liposomes. Studies have shown that pathogenic microorganisms are contained in exosomes extracted from pathogenic micro-infected cells. The Seneca Valley virus (SVV) is a non-encapsulated single-stranded positive-strand RNA virus that causes ulceration in the pigs nose, the appearance of blisters, and other clinical symptoms similar to foot-and-mouth disease (FMD). Whether exosomes from SVV-infected cells can mediate SVV intercellular transmission is of great significance. There have been no studies showing whether exosomes can carry SVV in susceptible and non-susceptible cells. Here, we first extracted and identified exosomes from SVV-infected IBRS-2 cells. It was confirmed that replication of SVV can be inhibited when IBRS-2 cells treated with exosomes inbihitor GW4869. Furthermore, laser confocal microscopy and qRT-PCR experiments were performed to investigate whether exosomes can carry SVV and enable the virus to proliferate in susceptible and non-susceptible cells. Finally, exosome-mediated intercellular transmission can not be completely blocked by SVV-specific neutralizing antibodies. Taken together, this study showed that exosomes extracted from the SVV-infected IBRS-2 cells can carry SVV and transmit productive SVV infection between SVV susceptible and non-susceptible cells, this transmit infection is resistant to SVV specific neutralization antibody. IMPORTANCEExosomes participate in intercellular communnication between cells. Exosomes derived from virus-infected cells can mediate virus transmission or/and regulate immune response. However, the function of exosomes that from SVV-infected host cells during SVV transmission is unclear. Here, we demonstrate SVV can utilize host exosomes to establish productive infection in intercellular transmission. Furthermore, exosome-mediated SVV transmission is resistant to SVVV-specific neutralizing antibodies. This discovery sheds light on neutralizing antibodies resistant to SVVV transmission by exosomes as a potential immune evasion mechanism.

immunology↗

Low bias DNA for sustainable and efficient data storage

In DNA data storage, the massive sequence complexity creates challenges in repeatable and efficient information readout. Here, our study clearly demonstrated that canonical polymerase chain reaction (PCR) created significant DNA amplification biases, which greatly hinder fast and stable data retrieving from hundred-thousand synthetic DNA sequences encoding over 2.85 megabyte (MB) digital data. To mitigate the amplification bias, we adapted an isothermal DNA amplification for low-bias amplification of DNA pool with massive sequence complexity, and named the new method isothermal DNA reading (iDR). By using iDR, we were able to robustly and repeatedly retrieve the data stored in DNA strands attached on magnetic beads (MB) with significantly decreased sequencing reads, compared with the PCR method. Therefore, we believe that the low-bias iDR method provides an ideal platform for robust DNA data storage, and fast and reliable data readout.

synthetic biology↗

JEDI: Circular RNA Prediction based on Junction Encoders and Deep Interaction among Splice Sites

Circular RNA is a novel class of endogenous non-coding RNAs that have been largely discovered in eukaryotic transcriptome. The circular structure arises from a non-canonical splicing process, where the donor site backsplices to an upstream acceptor site. These circular form of RNAs are conserved across species, and often show tissue or cell-specific expression. Emerging evidences have suggested its vital roles in gene regulation, which are further associated with various types of diseases. As the fundamental effort to elucidate its function and mechanism, numerous efforts have been devoted to predicting circular RNA from its primary sequence. However, statistical learning methods are constrained by the information presented with explicit features, and the existing deep learning approach falls short on fully exploring the positional information of the splice sites and their deep interaction. We present an effective and robust end-to-end framework, JEDI, for circular RNA prediction using only the nucleotide sequence. Our framework first leverages the attention mechanism to encode each junction site based on deep bidirectional recurrent neural networks and then presents the novel cross-attention layer to model deep interaction among these sites for backsplicing. Finally, JEDI is capable of not only addressing the task of circular RNA prediction but also interpreting the relationships among splice sites to discover the hotspots for backsplicing within a gene region. Experimental evaluations demonstrate that JEDI significantly outperforms several state-of-the-art approaches in circular RNA prediction on both isoform-level and gene-level. Moreover, JEDI also shows promising results on zero-shot backsplicing discovery, where none of the existing approaches can achieve. The implementation of our framework is available at https://github.com/hallogameboy/JEDI.

bioinformatics↗

Development of a New Method for the Highly Effective Identification of Cold Resistance in Living Avocado Varieties

This paper first identified the cold resistance of 38 varieties of avocado by determining the semi-lethal low temperature (LT50) of the leaves using an electrical conductivity method in combination with a logistic function, and then analyzed the correlation between the LT50 of 27 varieties and the capacitance measured 9 different parts of the leaves in vivo, to explore the relationship between the cold resistance of various avocado varieties and the capacitance of different parts of avocado leaves, so as to develop a new method for highly effective identification of cold resistance of living avocado varieties. The results showed that various avocado varieties LT50 was significantly positively correlated with the capacitance of some parts of leaves, showing that the cold resistance of various avocado varieties was negatively correlated with the capacitance of various leaf parts. The results of mango variety trials conducted for comparison is coincident with the theoretical conclusion reached in the identification of the cold resistance of the avocado. So as to the study of the cold resistance of avocado and mango varieties, the capacitance of live mature leaves measured in the field can be used as a new method for the judgment of cold resistance.\n\nHighlightA new method for identification of avocado cold resistance through measuring the capacitance of different parts of leaves was developed. This method are simple, quick and efficient.

plant biology↗

Acidic microenvironment shaped by lactate accumulation promotes pluripotency through multiple mechanisms

Enhanced glycolysis is a distinct feature associated with numerous stem cells and cancer cells. However, little is known about its regulatory roles in gene expression and cell fate determination. Here we show that acidic environment shaped by lactate accumulation promotes the self-renewal and pluripotency of both mouse and human embryonic stem cells (ESCs). Mechanistically, acidic pH reduces the tri-methylation of H3K27 globally at transcriptional start sites to partially prevent ESC differentiation. In addition, acidic pH stabilizes a large number of mRNAs including pluripotency genes. Furthermore, we found that AGO1 protein is downregulated at acidic conditions, leading to the de-repression of a subset of microRNA targets in low-pH treated ESCs. Altogether, our study provides insights into mechanisms whereby acidic microenvironment produced by enhanced glycolysis regulates gene expression to determine cell fate and has broad implications in the fields of regenerative medicine and cancer biology.

developmental biology↗

Polymodal Allosteric Regulation of Type 1 Serine/Threonine Kinase Receptors via a Conserved Electrostatic Lock

Type 1 Serine/Threonine Kinase Receptors (STKR1) transduce a wide spectrum of biological signals mediated by TGF-{beta} superfamily members. The STKR1 activity is tightly controlled by their regulatory glycine-serine rich (GS) domain adjacent to the kinase domain. Despite decades of studies, it remains unknown how physiological or pathological GS domain modifications are coupled to STKR1 kinase activity. Here, by performing molecular dynamics simulations and free energy calculation of Activin-Like Kinase 2 (ALK2), we found that GS domain phosphorylation, FKBP12 dissociation, and disease mutations all destabilize a D354-R375 salt-bridge, which normally acts as an electrostatic lock to prevent coordination of adenosine triphosphate (ATP) to the catalytic site. We developed a WAFEX-guided principal analysis and unraveled how phosphorylation destabilizes this highly conserved salt-bridge in temporal and physical space. Using current-flow betweenness scores, we identified an allosteric network of residue-residue contacts between the GS domain and the catalytic site that controls the formation and disruption of this salt bridge. Importantly, our novel network analysis approach revealed how certain disease-causing mutations bypass FKBP12-mediated kinase inhibition to produce leaky signaling in the absence of ligand. We further provide experimental evidence that this salt-bridge lock exists in other STKR1s, and acts as a general safety mechanism in STKR1 to prevent pathological leaky signaling. In summary, our study provides a compelling and unifying allosteric activation mechanism in STKR1 kinases that reconciles a large number of experimental studies and sheds light on a novel therapeutic avenue to target disease-related STKR1 mutants.\n\nAUTHOR SUMMARYKinases play central role in essential physiological process and are attractive therapeutic drug targets. One of the important kinase families is Type 1 Serine/Threonine Kinase Receptors (STKR1), which control gene expression in response to extracellular growth factors. The activities of STKR1 are tightly controlled by their regulatory domain, which is distant from the kinase catalytic site. The underlying molecular mechanism is elucidated here. We identified that formation or disruption of a highly conserved charge-charge interaction located near the ATP binding site, mediates the physiological inhibition or activation of STKR1. We find that the stability of this charge-charge interaction is remotely controlled by interactions propagated from the distant regulatory domain. Several disease-causing mutations are located at the regulatory domain. We demonstrate how those mutations bypass these endogenous STKR1 inhibition mechanisms to produce pathological phenotypes. This study provides a general activation mechanism in STKR1 kinases, thus may benefit understanding the molecular mechanism of diseases and drug development.

biophysics↗