Yongseok Lim

Woong Choi

Gyuseong Kang

Jinil Chung

Hoyoung Tang

Dongyeob Shin

Yunho Jang

Kyeongho Lee

Taehwan Kim

Seok-Jae Lee

Insoo Lee

Jinmo Kwon

Min-Woo Lee

Jangwon Park

Iput Heri Kurniawan

Debnath Samir

Juseong Lee

Seungyong An

Gihoon Jung

Byunggi Kang

Yunseong Lee

Kyungho Shin

Byeonggil Park

Kyungrak Choi

Cheolhwan Kim

Kwanghyo Jeong

Nahsung Kim

Donghyeon Cho

Wonseok Choi

Heetak Kim

Geon Ko

Daehan Ji

Byungjun Choi

Hyeonseong Kim

Geonho Kim

Seunghwan Bang

Jinho Jeong

Sung Soo Cheon

Sunghyun Choi

Jooyoon Kim

Kwanho Bae

Junhyun Song

Dongsu Kim

Hyunchul Park

Joonhyung Kim

Seungtae Kim

Minseo Kim

Seongyoon Kang

Yeseul Kim

Hyeyeong Lee

Han Cho

Dongjun Kim

Junwoo Park

Chaehyeon Shin

Donghu Song

Jaeheon Jung

Jihwan Yoon

Sangkyu Lee

Bohun Kim

Junghoon Cho

Yeongkyo Seo

The VLSISP (VLSI System & Information Processing) Laboratory focuses on research related to VLSI systems and information processing.

VLSISP (VLSI System & Information Processing) 연구실은 VLSI 시스템 및 정보 처리에 관한 연구를 수행한다.

AdaGScale: Viewpoint-Adaptive Gaussian Scaling in 3D Gaussian Splatting to Reduce Gaussian-Tile Pairs

A FeFET-Based Approximate DCIM Integrating Multiplication and or Addition In-Bitcell

C-STEP: Compute-Efficient Spiking Transformers with Temporal Exit and Early-Guided Pruning (Extended Abstract)

HINT: A Hybrid SRAM–MRAM Compute-In-Memory with INput-aware Skipping SAR-ADC for Energy Efficient Ternary LLMs

Enhancing Adversarial Robustness of ANN with Low-cost SNN-based Input Transformation

Speeding-up Successive Read Operations of STT-MRAM via Read Path Alternation for Delay Symmetry

ROZK: An Energy-Efficient DNN Accelerator based on Reconfigurable NoC and Local Zero-Skipping

PRIME: Probabilistic Reconfigurable Ising Memory Engine an 8000 p-bit Ising Machine with 28 nm Multifunction STT-MRAM

SiGNoR: Similarity-based Graph Partitioning and Node Reuse for Memory Efficient GNN Acceleration

HR2: A PVT Aware Hierarchical RL Based Sizing Framework for Robust Analog Circuit Design

GS-TG: 3D Gaussian Splatting Accelerator with Tile Grouping for Reducing Redundant Sorting while Preserving Rasterization Efficiency

GLOVA: Global and Local Variation-Aware Analog Circuit Design with Risk-Sensitive Reinforcement Learning

A Pre-charge based Data Cell Dynamic Reference Sensing Scheme for Reliable Read Operations in STT-MRAM

DPP-ViT: Dynamic Patch Pruning for Low Complexity Vision Transformer Accelerator

Tru-Sign: Lossless Truncated Sign Based Energy Efficient DNN Accelerator

PS-GS: Group-wise Parallel Rendering with Stage-wise Complexity Reductions for Real-time 3D Gaussian Splatting

Speeding-up Successive Read Operations of STT-MRAM via Read Path Alternation for Delay Symmetry (Extended Abstract)

Bit-Line Paired 2T SOT-MRAM Cell for  Energy-Efficient Memory Operation

DBB-ECC: Random Double Bit and Burst Error Correction Code for HBM3

A Design Framework of Heterogeneous Approximate DCIM-based Accelerator for Energy-Efficient NN Processing

Fault Bounding On-die BCH Codes for Improving Reliability of System ECC

Big-computing and Little-storing STT-MRAM PIM architecture with Charge Domain based MAC operation

CAT SNN: Conversion Aware Training for High Accuracy and Hardware Friendly Spiking Neural Networks

TP-DCIM: Transposable Digital SRAM CIM Architecture for Energy Efficient and High Throughput Transformer Acceleration

iSPADE: End-to-end Sparse Architecture for Dense DNN Acceleration via Inverted-bit Representation

STT-MRAM-based Near-Memory Computing Architecture with Read Scheme and Dataflow Co-Design for High-Throughput and Energy-Efficiency

SpARC: Token Similarity-Aware Sparse Attention Transformer Accelerator via Row-wise Clustering

HeNCoG: a Heterogeneous Near-Memory Computing Architecture for Energy Efficient GCN Acceleration

Spintronic artificial synapse using voltage-controlled magnetic multilevel states

SOT-MRAM based LUT Cell Design for Area and Energy Efficient FPGA

A 28nm 50.1-TOPS/W P-8T SRAM Compute-In-Memory Macro Design with BL Charge-Sharing based In-SRAM DAC/ADC Operations

Highly reliable magnetic memory-based physical unclonable functions

Large Scale Integrated IGZO Crossbar Memristor Array based Artificial Neural Architecture for Scalable In-Memory Computing

Neuron Pruning in Temporal Domain for Energy Efficient SNN Processor Design

LoCoExNet: Low-Cost Early Exit Network for Energy Efficient CNN Accelerator Design

Low Complexity Gradient Computation Techniques to Accelerate Deep Neural Network Training

Optical Verification of Physically Unclonable Function Devices Based on Spin-Orbit Torque Switching

A 2941-TOPS/W Charge-Domain 10T SRAM Compute-in-Memory for Ternary Neural Network

Low Area and Low Power Threshold Implementation Design Technique for AES S-box

Improved Robustness against Magnetic Field in Spin–Orbit-Torque-Based Physical Unclonable Functions through Write-Back Operation

Low-Cost 7T-SRAM Compute-In-Memory design based on Bit-Line Charge-Sharing based Analog-To-Digital Conversion

A Charge Domain P-8T SRAM Compute-In-Memory with Low-Cost DAC/ADC Operation for 4-bit Input Processing

A Time-to-first-spike Coding and Conversion Aware Training for Energy-Efficient Deep Spiking Neural Network Processor Design

A 10T SRAM Compute-In-Memory Macro with Analog MAC Operation and Time Domain Conversion

BiMDiM: Area efficient Bi-directional MRAM Digital in-Memory Computing

SOT-MRAM Digital PIM Architecture with Extended Parallelism in Matrix Multiplication

Stochastic SOT device based SNN architecture for On-chip Unsupervised STDP Learning

Multilevel Artificial Electronic Synaptic Device of Direct Grown Robust MoS2 Based Memristor Array for In-Memory Deep Neural Network

Early Termination based Training Acceleration for An Energy-Efficient SNN Processor Design

A Dual-Domain Dynamic Reference Sensing for Reliable Read Operation in SOT-MRAM

Area and Energy Efficient Joint 2T SOT-MRAM based on diffusion region sharing with Adjacent cells

A Charge-Sharing based 8T SRAM In-Memory Computing for Edge DNN Acceleration

An Energy-Efficient SNN Processor Design based on Sparse Direct Feedback and Spike Prediction

Low Cost Heterogeneous Aria S-Box Implementation for CPA-Resistance

Low Energy Domain Wall Memory Based Convolution Neural Network Design with Optimizing Mac Architecture

Electric-field control of field-free spin-orbit torque switching via laterally modulated Rashba effect in Pt/Co/AlOx structures

Jongsun Park

Fusarium species are among the most important phytopathogenic and toxigenic fungi. To understand the molecular underpinnings of pathogenicity in the genus Fusarium , we compared the genomes of three phenotypically diverse species: Fusarium graminearum , Fusarium verticillioides and Fusarium oxysporum f. sp. lycopersici . Our analysis revealed lineage-specific (LS) genomic regions in F. oxysporum that include four entire chromosomes and account for more than one-quarter of the genome. LS regions are rich in transposons and genes with distinct evolutionary profiles but related to pathogenicity, indicative of horizontal acquisition. Experimentally, we demonstrate the transfer of two LS chromosomes between strains of F. oxysporum , converting a non-pathogenic strain into a pathogen. Transfer of LS chromosomes between otherwise genetically isolated strains explains the polyphyletic origin of host specificity …

Comparative genomics reveals mobile pathogenicity chromosomes in Fusarium

Serum- and glucocorticoid-inducible kinases (SGKs) form a novel family of serine/threonine kinases that are activated in response to a variety of extracellular stimuli. SGKs are related to Akt (also called PKB), a serine/threonine kinase that plays a crucial role in promoting cell survival. Like Akt, SGKs are activated by the phosphoinositide-3 kinase (PI3K) and translocate to the nucleus upon growth factor stimulation. However the physiological substrates and cellular functions of SGKs remained to be identified. We hypothesized that SGKs regulate cellular functions in concert with Akt by phosphorylating common targets within the nucleus. The best-characterized nuclear substrates of Akt are transcription factors of the Forkhead family. Akt phosphorylates Forkhead transcription factors such as FKHRL1, leading to FKHRL1's exit from the nucleus and the consequent shutoff of FKHRL1 target genes. We show here that …

Protein kinase SGK mediates survival signals by phosphorylating the forkhead transcription factor FKHRL1 (FOXO3a)

INTRODUCTION The emergence of three lethal coronaviruses in <20 years and the urgency of the COVID-19 pandemic have prompted efforts to develop new therapeutic strategies, including by repurposing existing agents. After performing a comparative analysis of the three pathogenic human coronaviruses severe acute respiratory syndrome coronavirus 1 (SARS-CoV-1), SARS-CoV-2, and Middle East respiratory syndrome coronavirus (MERS-CoV), we identified shared biology and host-directed drug targets to prioritize therapeutics with potential for rapid deployment against current and future coronavirus outbreaks. RATIONALE Expanding on our recent SARS-CoV-2 interactome, we mapped the virus-host protein-protein interactions for SARS-CoV-1 and MERS-CoV and assessed the cellular localization of each viral protein across the three strains. We conducted two genetic screens of SARS-CoV-2 …

Comparative host-coronavirus protein interaction networks reveal pan-viral disease mechanisms

Protein kinase B (PKB) has emerged as the focal point for many signal transduction pathways, regulating multiple cellular processes such as glucose metabolism, transcription, apoptosis, cell proliferation, angiogenesis, and cell motility. In addition to acting as a kinase toward many substrates involved in these processes, PKB forms complexes with other proteins that are not substrates, but rather act as modulators of PKB activity and function. In this review, we discuss the implications of these data in understanding the multitude of functions predicted for PKB in cells.

PKB binding proteins: getting in on the Akt

Serum and glucocorticoid‐inducible kinase (SGK) is a novel member of the serine/threonine protein kinase family that is transcriptionally regulated. In this study, we have investigated the regulatory mechanisms that control SGK activity. We have established a peptide kinase assay for SGK and present evidence demonstrating that SGK is a component of the phosphoinositide 3 (PI 3)‐kinase signaling pathway. Treatment of human embryo kidney 293 cells with insulin, IGF‐1 or pervanadate induced a 3‐ to 12‐fold activation of ectopically expressed SGK. Activation was completely abolished by pretreatment of cells with the PI 3‐kinase inhibitor, LY294002. Treatment of activated SGK with protein phosphatase 2A in vitro led to kinase inactivation. Consistent with the similarity of SGK to other second‐messenger regulated kinases, mutation of putative phosphorylation sites at Thr256 and Ser422 inhibited SGK activation …

Serum and glucocorticoid‐inducible kinase (SGK) is a target of the PI 3‐kinase‐stimulated signaling pathway

Full activation of protein kinase B (PKB)/Akt requires phosphorylation on Thr-308 and Ser-473 by 3-phosphoinositide-dependent kinase-1 (PDK1) and Ser-473 kinase (S473K), respectively. Although PDK1 has been well characterized, the identification of the S473K remains controversial. A major PKB Ser-473 kinase activity was purified from the membrane fraction of HEK293 cells and found to be DNA-dependent protein kinase (DNA-PK). DNA-PK co-localized and associated with PKB at the plasma membrane. In vitro , DNA-PK phosphorylated PKB on Ser-473, resulting in a ∼10-fold enhancement of PKB activity. Knockdown of DNA-PK by small interfering RNA inhibited Ser-473 phosphorylation induced by insulin and pervanadate. DNA-PK-deficient glioblastoma cells did not respond to insulin at the level of Ser-473 phosphorylation; this effect was restored by complementation with the human PRKDC gene. We …

Identification of a PKB/Akt hydrophobic motif Ser-473 kinase as DNA-dependent protein kinase

Because less than one-third of clinically relevant fusaria can be accurately identified to species level using phenotypic data (i.e., morphological species recognition), we constructed a three-locus DNA sequence database to facilitate molecular identification of the 69 Fusarium species associated with human or animal mycoses encountered in clinical microbiology laboratories. The database comprises partial sequences from three nuclear genes: translation elongation factor 1α ( EF-1α ), the largest subunit of RNA polymerase ( RPB1 ), and the second largest subunit of RNA polymerase ( RPB2 ). These three gene fragments can be amplified by PCR and sequenced using primers that are conserved across the phylogenetic breadth of Fusarium . Phylogenetic analyses of the combined data set reveal that, with the exception of two monotypic lineages, all clinically relevant fusaria are nested in one of eight variously sized …

Internet-accessible DNA sequence database for identifying fusaria from human and animal infections

The vascular wilt fungi Verticillium dahliae and V. albo-atrum infect over 200 plant species, causing billions of dollars in annual crop losses. The characteristic wilt symptoms are a result of colonization and proliferation of the pathogens in the xylem vessels, which undergo fluctuations in osmolarity. To gain insights into the mechanisms that confer the organisms' pathogenicity and enable them to proliferate in the unique ecological niche of the plant vascular system, we sequenced the genomes of V. dahliae and V. albo-atrum and compared them to each other, and to the genome of Fusarium oxysporum , another fungal wilt pathogen. Our analyses identified a set of proteins that are shared among all three wilt pathogens, and present in few other fungal species. One of these is a homolog of a bacterial glucosyltransferase that synthesizes virulence-related osmoregulated periplasmic glucans in bacteria. Pathogenicity tests of the corresponding V. dahliae glucosyltransferase gene deletion mutants indicate that the gene is required for full virulence in the Australian tobacco species Nicotiana benthamiana . Compared to other fungi, the two sequenced Verticillium genomes encode more pectin-degrading enzymes and other carbohydrate-active enzymes, suggesting an extraordinary capacity to degrade plant pectin barricades. The high level of synteny between the two Verticillium assemblies highlighted four flexible genomic islands in V. dahliae that are enriched for transposable elements, and contain duplicated genes and genes that are important in signaling/transcriptional regulation and iron/lipid metabolism. Coupled with an enhanced capacity to …

Comparative genomics yields insights into niche adaptation of plant vascular wilt pathogens

In a wireless power transfer (WPT) system via the magnetic resonant coupling, one of the most challenging design issues is to maintain a reasonable level of power transfer efficiency (PTE), even when the distance between the transmitter and the receiver changes. When the distance varies, the PTE drastically decreases due to the impedance mismatch between the resonator of the transmitter and that of the receiver. This paper presents a novel serial/parallel capacitor matrix in the transmitter, where the impedance can be automatically reconfigured to track the optimum impedance-matching point in the case of varying distances. The dynamic WPT matching system is enabled by changing the combination of serial and parallel capacitors in the capacitor matrix. An interesting observation in the proposed capacitor matrix is that the resonant frequency is not shifted, even with capacitor-matrix tuning. In order to quickly …

An adaptive impedance-matching network based on a novel capacitor matrix for wireless power transfer

Protein kinase B (PKB/Akt) is a pivotal regulator of diverse metabolic, phenotypic, and antiapoptotic cellular controls and has been shown to be a key player in cancer progression. Here, using fluorescent reporters, we shown in cells that, contrary to in vitro analyses, 3-phosphoinositide–dependent protein kinase 1 (PDK1) is complexed to its substrate, PKB. The use of Förster resonance energy transfer detected by both frequency domain and two-photon time domain fluorescence lifetime imaging microscopy has lead to novel in vivo findings. The preactivation complex of PKB and PDK1 is maintained in an inactive state through a PKB intramolecular interaction between its pleckstrin homology (PH) and kinase domains, in a “PH-in” conformer. This domain–domain interaction prevents the PKB activation loop from being phosphorylated by PDK1. The interactive regions for this intramolecular PKB interaction were predicted through molecular modeling and tested through mutagenesis, supporting the derived model. Physiologically, agonist-induced phosphorylation of PKB by PDK1 occurs coincident to plasma membrane recruitment, and we further shown here that this process is associated with a conformational change in PKB at the membrane, producing a “PH-out” conformer and enabling PDK1 access the activation loop. The active, phosphorylated, “PH-out” conformer can dissociate from the membrane and retain this conformation to phosphorylate substrates distal to the membrane. These in vivo studies provide a new model for the mechanism of activation of PKB. This study takes a crucial widely studied regulator (physiology and pathology) and …

Intramolecular and intermolecular interactions of protein kinase B define its activation in vivo

Rapid translation of genome sequences into meaningful biological information hinges on the integration of multiple experimental and informatics methods into a cohesive platform. Despite the explosion in the number of genome sequences available, such a platform does not exist for filamentous fungi. Here we present the development and application of a functional genomics and informatics platform for a model plant pathogenic fungus, Magnaporthe oryzae . In total, we produced 21,070 mutants through large-scale insertional mutagenesis using Agrobacterium tumefaciens –mediated transformation. We used a high-throughput phenotype screening pipeline to detect disruption of seven phenotypes encompassing the fungal life cycle and identified the mutated gene and the nature of mutation for each mutant. Comparative analysis of phenotypes and genotypes of the mutants uncovered 202 new pathogenicity loci …

Genome-wide functional analysis of pathogenicity genes in the rice blast fungus

The appropriate development of conidia and appressoria is critical in the disease cycle of many fungal pathogens, including Magnaporthe oryzae . A total of eight genes ( MoHOX1 to MoHOX8 ) encoding putative homeobox transcription factors (TFs) were identified from the M. oryzae genome. Knockout mutants for each MoHOX gene were obtained via homology-dependent gene replacement. Two mutants, ΔMohox3 and ΔMohox5 , exhibited no difference to wild-type in growth, conidiation, conidium size, conidial germination, appressorium formation, and pathogenicity. However, the ΔMohox1 showed a dramatic reduction in hyphal growth and increase in melanin pigmentation, compared to those in wild-type. ΔMohox4 and ΔMohox6 showed significantly reduced conidium size and hyphal growth, respectively. ΔMohox8 formed normal appressoria, but failed in pathogenicity, probably due to defects in the development of penetration peg and invasive growth. It is most notable that asexual reproduction was completely abolished in ΔMohox2 , in which no conidia formed. ΔMohox2 was still pathogenic through hypha-driven appressoria in a manner similar to that of the wild-type. However, ΔMohox7 was unable to form appressoria either on conidial germ tubes, or at hyphal tips, being non-pathogenic. These factors indicate that M. oryzae is able to cause foliar disease via hyphal appressorium-mediated penetration, and MoHOX7 is mutually required to drive appressorium formation from hyphae and germ tubes. Transcriptional analyses suggest that the functioning of M. oryzae homeobox TFs is mediated through the regulation of gene expression and is …

Homeobox Transcription Factors Are Required for Conidiation and Appressorium Development in the Rice Blast Fungus Magnaporthe oryzae

Background Fungi secrete various proteins that have diverse functions. Prediction of secretory proteins using only one program is unsatisfactory. To enhance prediction accuracy, we constructed Fungal Secretome Database (FSD). Description A three-layer hierarchical identification rule based on nine prediction programs was used to identify putative secretory proteins in 158 fungal/oomycete genomes (208,883 proteins, 15.21% of the total proteome). The presence of putative effectors containing known host targeting signals such as RXLX [EDQ] and RXLR was investigated, presenting the degree of bias along with the species. The FSD's user-friendly interface provides summaries of prediction results and diverse web-based analysis functions through Favorite, a personalized repository. Conclusions The FSD can serve as an integrated platform supporting researches on secretory proteins in the fungal kingdom. All …

Fungal secretome database: integrated platform for annotation of fungal secretomes

Blood pressure (BP) is one of the most important contributing factors to pulse wave velocity (PWV), a classic measure of arterial stiffness. Although there have been many non-invasive studies to show the relation between arterial stiffness and BP, the results are controversial. The aim of this study is to evaluate the role of BP as an influencing factor on PWV using invasive method. We observed 174 normotensive and untreated hypertensive subjects using coronary angiography. Arterial stiffness was assessed through aorto-femoral PWV by foot-to-foot velocity method using fluid-filled system. And BP was measured by pressure wave at the right common femoral artery. From univariate analysis, age, diabetes mellitus (DM), hypertension, waist, waist-to-hip ratio, total cholesterol-to-high-density lipoprotein cholesterol ratio, systolic BP (SBP), pulse pressure (PP) and mean arterial pressure (MAP) showed significant …

Relationship between blood pressure parameters and pulse wave velocity in normotensive and hypertensive subjects: invasive study

Summary: Genomes of more than 60 fungal species have been sequenced to date, yet there has been no systematic approach to analyze fungal transcription factors (TFs) kingdom widely. We developed a standardized pipeline for annotating TFs in fungal genomes. Resulting data have been archived in a new database termed the Fungal Transcription Factor Database (FTFD). In FTFD, 31 832 putative fungal TFs, identified from 62 fungal and 3 Oomycete species, were classified into 61 families and phylogenetically analyzed. The FTFD will serve as a community resource supporting comparative analyses of the distribution and domain structure of TFs within and across species. Availability: All data described in this study can be browsed through the FTFD web site at http://ftfd.snu.ac.kr/. Contact: yonglee@snu.ac.kr

FTFD: an informatics pipeline supporting phylogenomic analysis of fungal transcription factors

Bemisia tabaci (Hemiptera: Aleyrodidae) is one of the most important insect pests in the world. In the present study, the taxonomic status of B. tabaci and the number of species composing the B. tabaci complex were determined based on 1059 COI sequences of B. tabaci and 509 COI sequences of 153 hemipteran species. The genetic divergence within B. tabaci was conspicuously higher (on average, 11.1%) than interspecific genetic divergence within the respective genera of the 153 species (on average, 6.5%). This result indicates that B. tabaci is composed of multiple species that may belong to different genera or subfamilies. A phylogenetic tree constructed based on 212 COI sequences without duplications revealed that the B. tabaci complex is composed of a total of 31 putative species, including a new species, JpL . However, genetic divergence within six species ( Asia II 1 , Asia II 7 , Australia , Mediterranean , New World , and Sub Saharan Africa 1 ) was higher than 3.5%, which has been used as a threshold of species boundaries within the B. tabaci complex. These results suggest that it is necessary to increase the threshold for species boundaries up to 4% to distinguish the constituent species in the B. tabaci complex.

Taxonomic Status of the Bemisia tabaci Complex (Hemiptera: Aleyrodidae) and Reassessment of the Number of Its Constituent Species

Background Cytochrome P450 enzymes play critical roles in fungal biology and ecology. To support studies on the roles and evolution of cytochrome P450 enzymes in fungi based on rapidly accumulating genome sequences from diverse fungal species, an efficient bioinformatics platform specialized for this super family of proteins is highly desirable. Results The Fungal Cytochrome P450 Database (FCPD) archives genes encoding P450s in the genomes of 66 fungal and 4 oomycete species (4,538 in total) and supports analyses of their sequences, chromosomal distribution pattern, and evolutionary histories and relationships. The archived P450s were classified into 16 classes based on InterPro terms and clustered into 141 groups using tribe-MCL. The proportion of P450s in the total proteome and class distribution in individual species exhibited certain taxon-specific characteristics. Conclusion The FCPD will …

Fungal cytochrome P450 database

Stroke is a complex disease involved oxidative stress-related pathways in its pathogenesis. The nuclear factor erythroid-2-related factor 2 (Nrf2)/heme oxygenase-1 (HO-1) pathway has been considered a potential target for neuroprotection in stroke. Acetyl-11-Keto-β-Boswellic Acid (AKBA) is an active triterpenoid compound from the extract of Boswellia serrate . The present study was to determine whether AKBA, a novel Nrf2 activator, can protect against cerebral ischemic injury. The stroke model was produced in Sprague–Dawley rats via middle cerebral artery occlusion. To model ischemia-like conditions in vitro , primary cultured cortical neurons were exposed to transient oxygen and glucose deprivation (OGD). Treatment of AKBA significantly reduced infarct volumes and apoptotic cells and also increased neurologic scores by elevating the Nrf2 and HO-1 expression in brain tissues in middle cerebral artery …

Neuroprotection by acetyl-11-keto-β-boswellic acid, in ischemic brain injury involves the Nrf2/HO-1 defense pathway

We have established that the serum- and glucocorticoid-inducible protein kinase (Sgk) is a new component of the hyperosmotic stress response. Treatment of NMuMg mammary epithelial cells with the organic osmolyte, sorbitol, caused the stable accumulation of Sgk transcripts and protein after an approximately 4-h lag. Transient transfection of a series of sgk -CAT reporter plasmids containing either 5′ deletions or continuous 6-base pair substitutions identified a hyperosmotic stress-regulated element that is GC-rich and is necessary for the sorbitol stimulation of sgk gene promoter activity. Gel shift analysis identified four major DNA-protein complexes in the hyperosmotic stress-regulated element that, by competition with excess consensus wild type and mutant oligonucleotides and by antibody supershifts, contains the Sp1 transcription factor. Several lines of evidence suggest that the p38 MAPK signaling pathway …

Hyperosmotic stress stimulates promoter activity and regulates cellular utilization of the serum-and glucocorticoid-inducible protein kinase (Sgk) by a p38 MAPK-dependent pathway

The aim of this study is to determine the effects of silver nanoparticles (Ag-NP) on vascular endothelial growth factor (VEGF)-and interleukin-1 beta (IL-1β)-induced vascular permeability, and to detect the underlying signaling mechanisms involved in endothelial cells. Porcine retinal endothelial cells (PRECs) were exposed to VEGF, IL-1β and Ag-NP at different combinations and endothelial cell permeability was analyzed by measuring the flux of RITC-dextran across the PRECs monolayer. We found that VEGF and IL-1β increase flux of dextran across a PRECs monolayer, and Ag-NP block solute flux induced by both VEGF and IL-1β. To explore the signalling pathway involved VEGF- and IL-1β-induced endothelial alteration, PRECs were treated with Src inhibitor PP2 prior to VEGF and IL-1β treatment, and the effects were recorded. Further, to clarify the possible involvement of the Src pathways in endothelial cell …

Silver nanoparticles inhibit VEGF-and IL-1β-induced vascular permeability via Src dependent pathway in porcine retinal endothelial cells

VLSI Signal Processing Lab.

교수님 소개

박종선

연구실 소개

연구실 키워드

알럼나이가 간 회사

연구실 지원 방법

대우 조건

연도별 논문 인용수

저널 & 학회 논문 출판 수

연구실 논문 목록

AdaGScale: Viewpoint-Adaptive Gaussian Scaling in 3D Gaussian Splatting to Reduce Gaussian-Tile Pairs

A FeFET-Based Approximate DCIM Integrating Multiplication and or Addition In-Bitcell

C-STEP: Compute-Efficient Spiking Transformers with Temporal Exit and Early-Guided Pruning (Extended Abstract)

연구실 보유 특허

대학별 입시끈

우리 연구실 모집

교수님 소개

박종선

연구실 키워드

알럼나이가 간 회사

연구실 지원 방법

대우 조건

연도별 논문 인용수

저널 & 학회 논문 출판 수

연구실 논문 목록

AdaGScale: Viewpoint-Adaptive Gaussian Scaling in 3D Gaussian Splatting to Reduce Gaussian-Tile Pairs

A FeFET-Based Approximate DCIM Integrating Multiplication and or Addition In-Bitcell

C-STEP: Compute-Efficient Spiking Transformers with Temporal Exit and Early-Guided Pruning (Extended Abstract)

연구실 보유 특허

최근 3년간 연구실적 높은 연구실

대학별 입시끈

우리 연구실 모집