Biology subjects

Lee, H.

Publications and source records attributed to Lee, H..

At least 433 records · Page 24Linked to original sources

bioRxiv2020

Systematic identification of a nuclear receptor-enriched predictive signature for erastin-induced ferroptosis

Erastin, which has been initially identified as a synthetic lethal compound against cancer expressing an RAS oncogene, inhibits cystine/glutamate antiporters and causes ferroptic cell death in various cell types, including therapy-resistant mesenchymal cancer cells. However, despite recent emerging evidence for the mechanisms underlying ferroptosis, molecular biomarkers associated with erastin-dependent ferroptosis have not yet been identified. In the present study, we employed isogenic lung cancer cell models with therapy-resistant mesenchymal properties to show that a redox imbalance leads to glutathione depletion and ferroptotic cell death. Subsequent gene expression analysis of pan-cancer cell lines revealed that the activity of transcription factors, including nuclear factor erythroid 2-related factor 2 (NRF2) and aryl hydrocarbon receptor (AhR), serve as important markers of erastin resistance. Based on the integrated expression of genes in the nuclear receptor meta-pathway (NRM), we constructed an NRM model and validated its robustness using an independent pharmacogenomics dataset. The NRM model was further evaluated by employing it in the sensitivity testing of nine cancer cell lines for which erastin sensitivities had not yet been undetermined. Our pharmacogenomics approach has the potential to pave the way for the efficient classification of patients for therapeutic intervention using erastin or erastin analogs.

systems biology↗

bioRxiv2020

Protective effect of agmatine against cisplatin-induced apoptosis in an auditory cell line

ObjectivesAgmatine, an endogenous metabolite of arginine, is known to have antioxidant activity, protect mitochondrial function, and confer resistance to cellular apoptosis. The aim of this study was to evaluate the protective effects of agmatine against cisplatin-induced cellular apoptosis in an auditory cell line. MethodsHEI-OC1 cells were co-treated with agmatine at different concentrations and 15 {micro}M cisplatin for 48 h. Cell viability was measured and annexin V-FITC/propidium iodide (PI) staining was performed to analyze apoptosis. The levels of intracellular reactive oxygen species (ROS) were measured using flow cytometry. The expression of BAX (Bcl2-associated X protein) and the enzymatic activity of caspase-3 were measured to examine the pathway of apoptosis induction. ResultsCo-treatment with 8 mM agmatine protected HEI-OC1 cells against cisplatin-induced cell apoptosis. Agmatine exerted a significant protective effect against 15 {micro}M cisplatin when applied for 48 h and reduced the proportion of necrotic and late apoptotic cells. Agmatine did not reduce the cisplatin-induced increase in ROS but decreased the expression of BAX and the activity of caspase-3. ConclusionsAgmatine protected against cisplatin-induced cellular apoptosis in an auditory cell line. These effects were mediated by the protection of mitochondrial function and inhibition of apoptosis.

pharmacology and toxicology↗

bioRxiv2020

Cryo-EM structure of catalytic ribonucleoprotein complex RNase MRP

RNase MRP is an essential eukaryotic ribonucleoprotein complex involved in the maturation of rRNA and the regulation of the cell cycle. RNase MRP is related to the ribozyme-based RNase P, but it has evolved to have distinct cellular roles. We report a cryo-EM structure of the S. cerevisiae RNase MRP holoenzyme solved to 3.0 [A]. We describe the structure of this 450 kDa complex, interactions between its components, and the organization of its catalytic RNA. We show that while the catalytic center of RNase MRP is inherited from the ancestral enzyme RNase P, the substrate binding pocket of RNase MRP is significantly altered by the addition of unique RNA and protein elements, as well as by RNA-driven protein remodeling. One Sentence SummaryChanges in peripheral RNA elements and RNA-driven protein remodeling result in diversification of related catalytic RNPs

biochemistry↗

bioRxiv2020

Human Mammary Cells in a Mature, Stratified Epithelial Layer Flatten and Stiffen Compared to Confluent and Single Cells

The epithelium forms a protective barrier against external biological, chemical and physical insults. So far, AFM-based, micro-mechanical measurements have only been performed on single cells and confluent cells, but not yet on cells in the physiologically relevant, mature epithelial layer. Using a combination of atomic force, fluorescence and confocal microscopy, we determined the changes in stiffness, morphology and actin distribution of human mammary epithelial cells (HMECs) as they transition from single cells to confluency to a mature epithelial layer. Single cells have a tall, round (planoconvex) morphology, have actin stress fibers at the base, have diffuse cortical actin, and have a stiffness of 1 kPa. Confluent cells become flatter, basal actin stress fibers start to disappear, and actin accumulates laterally where cells abut. Overall stiffness is still 1 kPa with two-fold higher stiffness in the abutting regions. Cells in an epithelial layer are flat on top and seven times stiffer (average, 7 kPa) than single and confluent cells. Epithelial layer cells show strong actin accumulation in the regions where cells adjoin and in the apical regions. Stiffness is significantly enhanced in the regions of adjoining cells, compared to the central regions of cells. Physiologically, this previously unrecognized, drastic stiffness increase may be important to the protective function of the epithelium.

biophysics↗

bioRxiv2020

ThiL is a valid antibacterial target that is essential for both thiamine biosynthesis and salvage pathway in Pseudomonas aeruginosa

Thiamine pyrophosphate (TPP) is an essential cofactor for various pivotal cellular processes in all living organisms, including bacteria. As thiamine biosynthesis occurs in bacteria but not humans, bacterial thiamine biosynthesis is an attractive target for antibiotic development. Among enzymes in the thiamine biosynthetic pathway, thiamine monophosphate kinase (ThiL) catalyzes the final step of the pathway, phosphorylating thiamine monophosphate (TMP) to produce TPP. In this work, we extensively investigated ThiL in Pseudomonas aeruginosa, a major pathogen of hospital-acquired infections. We demonstrated that thiL deletion abolishes not only thiamine biosynthesis but also thiamine salvage capability, showing growth defects of the {Delta}thiL mutant even in the presence of thiamine derivatives except TPP. Most importantly, the pathogenesis of the {Delta}thiL mutant was markedly attenuated compared to wild-type bacteria, with lower inflammatory cytokine induction and 103~104 times decreased bacterial load in an in vivo infection model where the intracellular TPP level is in the submicromolar range. In order to validate P. aeruginosa ThiL (PaThiL) as a new drug target, we further characterized its biochemical properties determining a Vmax of 4.0{+/-}0.2 nomol{middle dot}min-1 and KM values of 111{+/-}8 and 8.0{+/-}3.5M for ATP and TMP, respectively. A subsequent in vitro small molecule screening identified PaThiL inhibitors including WAY213613 that is a noncompetitive inhibitor with a Ki value of 13.4{+/-}2.3 M and a potential antibacterial activity against P. aeruginosa. This study proved that PaThiL is a new drug target against P. aeruginosa providing comprehensive biological and biochemical data that could facilitate to develop a new repertoire of antibiotics.

microbiology↗

bioRxiv2020

Mechanosensitive activation of mTORC1 mediates ventilator induced lung injury during the acute respiratory distress syndrome

Acute respiratory distress syndrome (ARDS) is a highly lethal condition that impairs lung function and causes respiratory failure. Mechanical ventilation maintains gas exchange in patients with ARDS, but exposes lung cells to physical forces that exacerbate lung injury. Our data demonstrate that mTOR complex 1 (mTORC1) is a mechanosensor in lung epithelial cells and that activation of this pathway during mechanical ventilation exacerbates lung injury. We found that mTORC1 is activated in lung epithelial cells following volutrauma and atelectrauma in mice and humanized in vitro models of the lung microenvironment. mTORC1 is also activated in lung tissue of mechanically ventilated patients with ARDS. Deletion of Tsc2, a negative regulator of mTORC1, in epithelial cells exacerbates physiologic lung dysfunction during mechanical ventilation. Conversely, treatment with rapamycin at the time mechanical ventilation is initiated prevents physiologic lung injury (i.e. decreased compliance) without altering lung inflammation or barrier permeability. mTORC1 inhibition mitigates physiologic lung injury by preventing surfactant dysfunction during mechanical ventilation. Our data demonstrate that in contrast to canonical mTORC1 activation under favorable growth conditions, activation of mTORC1 during mechanical ventilation exacerbates lung injury and inhibition of this pathway may be a novel therapeutic target to mitigate ventilator induced lung injury during ARDS.

molecular biology↗

bioRxiv2020

Improved Parameterization of Protein-DNA Interactions for Molecular Dynamics Simulations of PCNA Diffusion on DNA

Here, we quantitatively evaluate the accuracy of the protein-DNA interactions in AMBER and CHARMM force fields by comparing experimental and simulated diffusion coefficients of proliferating cell nuclear antigen (PCNA). We find that both force fields underestimate diffusion coefficients by at least an order of magnitude because the interactions between basic amino acids and DNA phosphate groups are too attractive. Then, we propose Lennard-Jones parameters optimized using the experimental osmotic pressure data of model chemicals, by using which one can reproduce the experimental diffusion coefficients. Newly optimized parameters will have a broad impact on general protein-DNA interactions.

biophysics↗

bioRxiv2020

Photon-directed Multiplexed Enzymatic DNA Synthesis for Molecular Digital Data Storage

New storage technologies are needed to keep up with the global demands of data generation. DNA is an ideal storage medium due to its stability, information density and ease of readout with advanced sequencing techniques. However, progress in writing DNA is stifled by the continued reliance on chemical synthesis methods. The enzymatic synthesis of DNA is a promising alternative, but thus far has not been well demonstrated in a highly parallelized manner. Here, we report a novel multiplexed enzymatic DNA synthesis method using maskless photolithography. Rapid uncaging of Co2+ ions by patterned UV light activates Terminal deoxynucleotidyl Transferase (TdT) for spatially-selective synthesis on an array surface. Spontaneous quenching of reactions by the diffusion of excess caging molecules confines synthesis to light patterns and controls the extension length. We show that our multiplexed synthesis method can be used to store digital data by encoding 12 unique DNA oligonucleotide sequences with music from the 1985 Nintendo video game Super Mario Brothers, which is equivalent to 84 trits or 110 bits of data.

synthetic biology↗

bioRxiv2020

Enhancement of Target Specificity of CRISPR-Cas12a by Using a Chimeric DNA-RNA Guide

The CRISPR-Cas9 system is widely used for target-specific genome engineering. Cpf1 is one of the CRISPR effectors that controls target genes by recognizing thymine-rich protospacer adjacent motif (PAM) sequences. Cpf1 has a higher sensitivity to mismatches in the guide RNA than does Cas9; therefore, off-target sequence recognition and cleavage are lower. However, it tolerates mismatches in regions distant from the PAM sequence (TTTN or TTN) in the protospacer, and off-target cleavage issues may become more problematic when Cpf1 activity is improved for therapeutic purposes. In our study, we investigated off-target cleavage by Cpf1 and modified the Cpf1 (cr)RNA to address the off-target cleavage issue. We developed a CRISPR-Cpf1 that can induce mutations in target DNA sequences in a highly specific and effective manner by partially substituting the (cr)RNA with DNA to change the energy potential of base pairing to the target DNA. A model to explain how chimeric (cr)RNA guided CRISPR-Cpf1 and SpCas9 nickase effectively work in the intracellular genome is suggested. In our results, CRISPR-Cpf1 induces less off-target mutations at the cell level, when chimeric DNA-RNA guide was used for genome editing. This study has a potential for therapeutic applications in incurable diseases caused by genetic mutation.

biochemistry↗

bioRxiv2020

Long-read sequencing reveals widespread intragenic structural variants in a recent allopolyploid crop plant

Genome structural variation (SV) contributes strongly to trait variation in eukaryotic species and may have an even higher functional significance than single nucleotide polymorphism (SNP). In recent years there have been a number of studies associating large, chromosomal scale SV ranging from hundreds of kilobases all the way up to a few megabases to key agronomic traits in plant genomes. However, there have been little or no efforts towards cataloging small (30 to 10,000 bp) to mid-scale (10,000 bp to 30,000 bp) SV and their impact on evolution and adaptation related traits in plants. This might be attributed to complex and highly-duplicated nature of plant genomes, which makes them difficult to assess using high-throughput genome screening methods. Here we describe how long-read sequencing technologies can overcome this problem, revealing a surprisingly high level of widespread, small to mid-scale SV in a major allopolyploid crop species, Brassica napus. We found that up to 10% of all genes were affected by small to mid-scale SV events. Nearly half of these SV events ranged between 100 bp to 1000 bp, which makes them challenging to detect using short read Illumina sequencing. Examples demonstrating the contribution of such SV towards eco-geographical adaptation and disease resistance in oilseed rape suggest that revisiting complex plant genomes using medium-coverage, long-read sequencing might reveal unexpected levels of functional gene variation, with major implications for trait regulation and crop improvement.

genomics↗

bioRxiv2020

Human stem cell derived sensory neurons are positioned to support varicella zoster virus latency

The neuropathogenesis of varicella-zoster virus (VZV) has been challenging to study due to the strict human tropism of the virus and the resultant difficulties in establishing tractable experimental models. In vivo, sensory neurons of the dorsal root ganglia and trigeminal ganglia serve as cellular niches that support viral latency, and VZV can subsequently reactivate from these cells to cause disease. Whether sensory neurons possess intrinsic properties that position them to serve as a reservoir of viral latency remains unknown. Here, we utilize a robust human sensory neuron system to investigate lytic infection and viral latency. We find that sensory neurons exhibit resistance to lytic infection by VZV. On the other hand, latent infection in sensory neurons is associated with an episomal-like configuration of viral DNA and expression of the VZV latency-associated transcript (VLT), thus closely mirroring the in vivo state. Moreover, despite the relative restriction in lytic infection, we demonstrate that viral reactivation is possible from latently infected sensory neurons. Taken together, our data suggest that human sensory neurons possess intrinsic properties that serve to facilitate their role as a latent reservoir of VZV. IMPORTANCEVaricella-zoster virus (VZV) has infected over 90% of people worldwide. Following primary infection, the virus can remain dormant in the nervous system and may reactivate later in life, with potentially severe consequences. Here, we develop a model of VZV infection in human sensory neurons in order to determine whether these cells are intrinsically positioned to support latency and reactivation. We find that human sensory neurons are relatively resistant to lytic infection, but can support latency and reactivation. Moreover, during in vitro latency human sensory neurons, but not other neurons, express the newly discovered VZV latency-associated transcript (VLT), thus closely mirroring the in vivo latent state. Taken together, these data indicate that human sensory neurons are uniquely positioned to support latency. We anticipate that this human sensory neuron model will serve to facilitate further understanding of the mechanisms of VZV latency and reactivation.

microbiology↗

bioRxiv2020

Biomechanical Regulation of Breast Cancer Metastasis and Progression

Physical activity has been consistently linked to decreased incidence of breast cancer and a substantial increase in the length of survival of patients with breast cancer. However, the understanding of how applied physical forces directly regulate breast cancer remains limited. We investigated the role of mechanical forces in altering the chemoresistance, proliferation and metastasis of breast cancer cells. We found that applied mechanical tension can dramatically alter gene expression in breast cancer cells, leading to decreased proliferation, increased resistance to chemotherapeutic treatment and enhanced adhesion to inflamed endothelial cells and collagen I under fluidic shear stress. A mechanistic analysis of the pathways involved in these effects supported a complex signaling network that included Abl1, Lck, Jak2 and PI3K to regulate pro-survival signaling and enhancement of adhesion under flow. Studies using mouse xenograft models demonstrated reduced proliferation of breast cancer cells with orthotopic implantation and increased metastasis to the skull when the cancer cells were treated with mechanical load. Using high throughput mechanobiological screens we identified pathways that could be targeted to reduce the effects of load on metastasis and found that the effects of mechanical load on bone colonization could be reduced through treatment with a PI3K{gamma} inhibitor.

cancer biology↗

bioRxiv2020

Exploiting evolutionary trade-offs to combat antibiotic resistance

Antibiotic resistance frequently evolves through fitness trade-offs in which the genetic alterations that confer resistance to a drug can also cause growth defects in resistant cells. Here, through experimental evolution in a microfluidics-based turbidostat, we demonstrate that antibiotic-resistant cells can be efficiently inhibited by amplifying the fitness costs associated with drug-resistance evolution. Using tavaborole-resistant E. coli as a model, we show that genetic mutations in leucyl-tRNA synthetase (that underlie tavaborole resistance) make resistant cells intolerant to norvaline, a chemical analog of leucine that is mistakenly used by tavaborole-resistant cells for protein synthesis. We then show that tavaborole-sensitive cells quickly outcompete tavaborole-resistant cells in the presence of norvaline due to the amplified cost of the molecular defect of tavaborole resistance. This finding illustrates a potentially generalizable approach for combating therapeutic resistance, prolonging the effectiveness of drugs and enabling the use of drugs that are no longer effective due to the rapid evolution of resistance.

evolutionary biology↗

bioRxiv2020

New complexities of SOS-induced untargeted mutagenesis in Escherichia coli as revealed by mutation accumulation and whole-genome sequencing

When its DNA is damaged, Escherichia coli induces the SOS response, which consists of about 40 genes that encode activities to repair or tolerate the damage. Certain alleles of the major SOS-control genes, recA and lexA, cause constitutive expression of the response, resulting in an increase in spontaneous mutations. These mutations, historically called "untargeted", have been the subject of many previous studies. Here we re-examine SOS-induced mutagenesis using mutation accumulation followed by whole-genome sequencing (MA/WGS), which allows a detailed picture of the types of mutations induced as well as their sequence-specificity. Our results confirm previous findings that SOS expression specifically induces transversion base-pair substitutions, with rates averaging about 60-fold above wild-type levels. Surprisingly, the rates of G:C to C:G transversions, normally an extremely rare mutation, were induced an average of 160-fold above wild-type levels. The SOS-induced transversion showed strong sequence specificity, the most extreme of which was the G:C to C:G transversions, 60% of which occurred at the middle base of 5'GGC3'+5'GCC3' sites although these sites represent only 8% of the G:C base pairs in the genome. SOS-induced transversions were also DNA strand biased, occurring, on average, 2- to 4- times more often when the purine was on the leading strand template and the pyrimidine on the lagging strand template than in the opposite orientation. However, the strand bias was also sequence specific, and even of reverse orientation at some sites. By eliminating constraints on the mutations that can be recovered, the MA/WGS protocol revealed new complexities to the nature of SOS "untargeted" mutations. HighlightsO_LIThe SOS response to DNA damage induces "untargeted" mutations C_LIO_LISOS-mutations are revealed by mutation accumulation and whole genome sequencing C_LIO_LISOS-mutations are both sequence and DNA-strand biased C_LIO_LIG:C to C:G transversions are particularly highly induced by SOS C_LIO_LIG:C to C:G transversions are extremely sequence and DNA-strand biased C_LI

genetics↗

bioRxiv2020

Differential risk of incident cancer in patients with heart failure: A nationwide population-based cohort study

BackgroundHeart failure (HF) and cancer are currently two leading causes of mortality, and sometimes coexist. However, the relationship between them is not completely elucidated. We aimed to investigate whether patients with HF are predisposed to cancer development using the large Korean National Health Insurance claims database. Methods and findingsThis study included 128,441 HF patients without a history of cancer and 642,205 age- and sex-matched individuals with no history of cancer and HF between 1 January 2010 and 31 December 2015. During a median follow-up of 4.06 years, 11,808 patients from the HF group and 40,805 participants from the control were newly diagnosed with cancer (cumulative incidence, 9.2% vs. 6.4%, p<0.0001). Patients with HF presented a higher risk for cancer development compared to controls in multivariable Cox analysis (hazard ratio [HR] 1.64, 95% confidence interval [CI] 1.61 - 1.68). The increased risk was consistent for all site-specific cancers. To minimize potential surveillance bias, additional analysis was performed by eliminating participants who developed cancer within the initial 2 years of HF diagnosis (i.e. 2-year lag analysis). In the 2-year lag analysis, the higher risk of overall cancer remained significant in patients with HF (HR 1.09, 95% CI 1.05 - 1.13), although the association was weaker. Among the site-specific cancers, three types of cancer (lung, liver/biliary/pancreas, and hematologic malignancy) were consistently at higher risk in patients with HF. ConclusionsCancer incidence is higher in patients with HF than in the general population. Active surveillance of coexisting malignancy needs to be considered in these patients.

cancer biology↗

bioRxiv2020

Reconstruction of Gene Regulatory Networks by integrating biological model and a recommendation system

Gene Regulatory Networks (GRNs) control many aspects of cellular processes including cell differentiation, maintenance of cell type specific states, signal transduction, and response to stress. Since GRNs provide information that is essential for understanding cell function, the inference of these networks is one of the key challenges in systems biology. Leading algorithms to reconstruct GRN utilize, in addition to gene expression data, prior knowledge such as Transcription Factor (TF) DNA binding motifs or results of DNA binding experiments. However, such prior knowledge is typically incomplete hence resulting in missing values. Therefore, the integration of such incomplete prior knowledge with gene expression to elucidate the underlying GRNs remains difficult. To address this challenge we introduce NetREX-CF - Regulatory Network Reconstruction using EXpression and Collaborative Filtering - a GRN reconstruction approach that brings together a modern machine learning strategy (Collaborative Filtering model) and a biologically justified model of gene expression (sparse Network Component Analysis based model). The Collaborative Filtering (CF) model is able to overcome the incompleteness of the prior knowledge and make edge recommends for building the GRN. Complementing CF, the sparse Network Component Analysis (NCA) model can use gene expression data to validate the recommended edges. Here we combine these two approaches using a novel data integration method and show that the new approach outperforms the currently leading GRN reconstruction methods. Furthermore, our mathematical formalization of the model has lead to a complex optimization problem of a type that has not been attempted before. Specifically, the formulation contains{ell} 0 norm that can not be separated from other variables. To fill this gap, we introduce here a new method Generalized PALM (GPALM) that allows us to solve a broad class of non-convex optimization problems and prove its convergence.

bioinformatics↗

bioRxiv2019

Longitudinal linked read sequencing reveals ecological and evolutionary responses of a human gut microbiome during antibiotic treatment

Gut microbial communities can respond to antibiotic perturbations by rapidly altering their taxonomic and functional composition. However, little is known about the strain-level processes that drive this collective response. Here we characterize the gut microbiome of a single individual at high temporal and genetic resolution through a period of health, disease, antibiotic treatment, and recovery. We used deep, linked-read metagenomic sequencing to track the longitudinal trajectories of thousands of single nucleotide variants within 36 species, which allowed us to contrast these genetic dynamics with the ecological fluctuations at the species level. We found that antibiotics can drive rapid shifts in the genetic composition of individual species, often involving incomplete genome-wide sweeps of pre-existing variants. These genetic changes were frequently observed in species without obvious changes in species abundance, emphasizing the importance of monitoring diversity below the species level. We also found that many sweeping variants quickly reverted to their baseline levels once antibiotic treatment had concluded, demonstrating that the ecological resilience of the microbiota can sometimes extend all the way down to the genetic level. Our results provide new insights into the population genetic forces that shape individual microbiomes on therapeutically relevant timescales, with potential implications for personalized health and disease.

microbiology↗

bioRxiv2019

Noncoding de novo mutations contribute to autism spectrum disorder via chromatin interactions

Three-dimensional chromatin structures regulate gene expression across genome. The significance of de novo mutations (DNMs) affecting chromatin interactions in autism spectrum disorder (ASD) remains poorly understood. We generated 931 whole-genome sequences for Korean simplex families to detect DNMs and identified target genes dysregulated by noncoding DNMs via long-range chromatin interactions between regulatory elements. Notably, noncoding DNMs that affect chromatin interactions exhibited transcriptional dysregulation implicated in ASD risks. Correspondingly, target genes were significantly involved in histone modification, prenatal brain development, and pregnancy. Both noncoding and coding DNMs collectively contributed to low IQ in ASD. Indeed, noncoding DNMs resulted in alterations, via chromatin interactions, in target gene expression in primitive neural stem cells derived from human induced pluripotent stem cells from an ASD subject. The emerging neurodevelopmental genes, not previously implicated in ASD, include CTNNA2, GRB10, IKZF1, PDE3B, and BACE1. Our results were reproducible in 517 probands from MSSNG cohort. This work demonstrates that noncoding DNMs contribute to ASD via chromatin interactions.

neuroscience↗