Jihoon Jo
Chonnam National University
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Featured researches published by Jihoon Jo.
GigaScience | 2017
Jihoon Jo; Jooseong Oh; Hyun-Gwan Lee; Hyun-Hee Hong; Sung-Gwon Lee; Seongmin Cheon; Elizabeth Kern; Soyeong Jin; Sung-Jin Cho; Joong-Ki Park; Chungoo Park
Abstract The Japanese sea cucumber (Apostichopus japonicus Selenka 1867) is an economically important species as a source of seafood and ingredient in traditional medicine. It is mainly found off the coasts of northeast Asia. Recently, substantial exploitation and widespread biotic diseases in A. japonicus have generated increasing conservation concern. However, the genomic knowledge base and resources available for researchers to use in managing this natural resource and to establish genetically based breeding systems for sea cucumber aquaculture are still in a nascent stage. A total of 312 Gb of raw sequences were generated using the Illumina HiSeq 2000 platform and assembled to a final size of 0.66 Gb, which is about 80.5% of the estimated genome size (0.82 Gb). We observed nucleotide-level heterozygosity within the assembled genome to be 0.986%. The resulting draft genome assembly comprising 132u2009607 scaffolds with an N50 value of 10.5 kb contains a total of 21u2009771 predicted protein-coding genes. We identified 6.6–14.5 million heterozygous single nucleotide polymorphisms in the assembled genome of the three natural color variants (green, red, and black), resulting in an estimated nucleotide diversity of 0.00146. We report the first draft genome of A. japonicus and provide a general overview of the genetic variation in the three major color variants of A. japonicus. These data will help provide a comprehensive view of the genetic, physiological, and evolutionary relationships among color variants in A. japonicus, and will be invaluable resources for sea cucumber genomic research.
Colloids and Surfaces B: Biointerfaces | 2015
Muthunarayanan Muthiah; Hui-Lian Che; Santhosh Kalash; Jihoon Jo; Seok-Yong Choi; Won Jong Kim; Chong-Su Cho; Jae Young Lee; In-Kyu Park
In this study, thiol-modified siRNA (SH-siRNA) was delivered by bioreducible polyethylenimine (ssPEI), to enhance physicochemical properties of polyplexes and function of siRNA through disulfide bonding between SH-siRNA and ssPEI. The ssPEI was utilized to deliver Akt1 SH-siRNA for suppression of Akt1 mRNA and blockage of Akt1 protein translation, resulting in reduced cellular proliferation and the induction of apoptosis. Disulfide bondings between the ssPEI and SH-siRNA through thiol groups in both were confirmed by DTT treatment. Complexation between ssPEI and Akt1SH-siRNA was enhanced and reduced surface charge of ssPEI/Akt1SH-siRNA complexes with smaller average particle sizes even at lower N/P ratios was obtained compared with PEI/Akt1siRNA ones. Cellular uptake of ssPEI/Akt1SH-siRNA complexes in CT-26 mouse colon cancer cells was also enhanced. The ssPEI/Akt1SH-siRNA complexes reduced proliferation and increased apoptosis of mouse colon cancer cells in vitro. In an in vivo mouse tumor model, the complexes reduced tumor proliferation and downregulation of Akt1 compared to controls.
Behavioural Brain Research | 2016
Dong Hyun Kim; Seong-Min Choi; Jihoon Jho; Man-Seok Park; Jisu Kang; Se Jin Park; Jong Hoon Ryu; Jihoon Jo; Hyun Hee Kim; Byeong C. Kim
Dysfunctions in the perirhinal cortex (PRh) are associated with visual recognition memory deficit, which is frequently detected in the early stage of Alzheimers disease. Muscarinic acetylcholine receptor-dependent long-term depression (mAChR-LTD) of synaptic transmission is known as a key pathway in eliciting this type of memory, and Tg2576 mice expressing enhanced levels of Aβ oligomers are found to have impaired mAChR-LTD in this brain area at as early as 3 months of age. We found that the administration of Aβ oligomers in young normal mice also induced visual recognition memory impairment and perturbed mAChR-LTD in mouse PRh slices. In addition, when mice were treated with infliximab, a monoclonal antibody against TNF-α, visual recognition memory impaired by pre-administered Aβ oligomers dramatically improved and the detrimental Aβ effect on mAChR-LTD was annulled. Taken together, these findings suggest that Aβ-induced inflammation is mediated through TNF-α signaling cascades, disturbing synaptic transmission in the PRh, and leading to visual recognition memory deficits.
Proteomics | 2016
Hyun-Gwan Lee; Jihoon Jo; Hyun-Hee Hong; Kee K. Kim; Joong-Ki Park; Sung-Jin Cho; Chungoo Park
Western blotting (WB) analysis is the most popular and widely used methodology for protein detection and characterization over recent decades. In accordance with the advancement of the technologies for the acquisition of WB signals, a quantitative value is used to present the abundance of target proteins in a complex sample, thereby requiring the use of specific proteins as internal references that represent total proteins. Heretofore, proteins encoded by housekeeping genes such as GAPDH, β‐tubulin and β‐actin have been commonly used as loading controls without any hesitation because their mRNA expression levels tend to be high and constant in many different cells and tissues. Experimentally, however, some of the housekeeping reference proteins are often displayed with inconsistent expression levels in both homogeneous and heterogeneous tissues, and, in terms of mRNA levels, they have a weak correlation to the abundance of proteins. To estimate accurate, reliable, and reproducible protein quantifications, it is crucial to define appropriate reference controls. For this paper, we explored the recently released large‐scale, human proteomic database ProteomicsDB including 16 857 liquid chromatography tandem‐mass‐spectrometry data from 27 human tissues, and suggest 20 ubiquitously‐ and constitutively‐expressed, putative internal‐reference controls for the quantification of differential protein expressions. Intriguingly, the most commonly used, known housekeeping genes were entirely excluded in our newly defined candidates. Although the applications of the candidates under many different biological conditions and in other organisms are yet to be empirically verified, we propose reliable, potential loading controls for a WB analysis in this paper.
Biosensors and Bioelectronics | 2017
Yo-Han Kim; Kyungmin Lee; Hunsang Jung; Hee Kyung Kang; Jihoon Jo; In-Kyu Park; Hyun Ho Lee
In this study, a biosensor to detect a stress biomarker of cortisol using cortisol monoclonal antibody (c-Mab) covalently immobilized on reduced graphene oxide (rGO) channel as electrical sensing element was demonstrated. Highly specific immune-recognition between the c-Mab and the cortisol was identified and characterized on a basis of resistance change at the rGO channel based chemiresistor sensor achieving the limit of detection of 10pg/mL (27.6 pM). In addition, cortisol concentrations of real human salivary sample and buffer solution of rat adrenal gland acute slices, which could secret the cortisol induced by adrenocorticotropic hormone (ACTH), were directly measured by the chemiresistor corresponding to the specific sensing of the cortisol. The rGO chemiresistor could selectively measure the cortisol levels in spite of diverse neuroendocrines existence. The potential perspective of this study can be a protocol of new cortisol sensor development, which will be applicable to point-of-care testing (POCT) targeted for salivary cortisol, in vitro psychobiological study on cortisol induction, and implantable sensor chip in the future.
BMC Bioinformatics | 2017
Baeksoo Kim; Jihoon Jo; Jonghyun Han; Chungoo Park; Hyunju Lee
BackgroundComputational approaches in the identification of drug targets are expected to reduce time and effort in drug development. Advances in genomics and proteomics provide the opportunity to uncover properties of druggable genomes. Although several studies have been conducted for distinguishing drug targets from non-drug targets, they mainly focus on the sequences and functional roles of proteins. Many other properties of proteins have not been fully investigated.MethodsUsing the DrugBank (version 3.0) database containing nearly 6,816 drug entries including 760 FDA-approved drugs and 1822 of their targets and human UniProt/Swiss-Prot databases, we defined 1578 non-redundant drug target and 17,575 non-drug target proteins. To select these non-redundant protein datasets, we built four datasets (A, B, C, and D) by considering clustering of paralogous proteins.ResultsWe first reassessed the widely used properties of drug target proteins. We confirmed and extended that drug target proteins (1) are likely to have more hydrophobic, less polar, less PEST sequences, and more signal peptide sequences higher and (2) are more involved in enzyme catalysis, oxidation and reduction in cellular respiration, and operational genes. In this study, we proposed new properties (essentiality, expression pattern, PTMs, and solvent accessibility) for effectively identifying drug target proteins. We found that (1) drug targetability and protein essentiality are decoupled, (2) druggability of proteins has high expression level and tissue specificity, and (3) functional post-translational modification residues are enriched in drug target proteins. In addition, to predict the drug targetability of proteins, we exploited two machine learning methods (Support Vector Machine and Random Forest). When we predicted drug targets by combining previously known protein properties and proposed new properties, an F-score of 0.8307 was obtained.ConclusionsWhen the newly proposed properties are integrated, the prediction performance is improved and these properties are related to drug targets. We believe that our study will provide a new aspect in inferring drug-target interactions.
Journal of Aquaculture Research and Development | 2016
Jihoon Jo; Chunsik Park; Munhwan Kim; Chungoo Park
The economic value of Apostichopus japonicus products is primarily determined by their dorsal/ventral color variation (red, green, or black), yet the taxonomic relationships between these color variants are not clearly understood. By performing numerous phylogenetic analyses of the Stichopodidae family, based on nucleotide sequence comparisons of the cytochrome c oxidase subunit 1 (COI) and 16S rRNA gene sequences, we observed that these three color variants exhibit very low levels of sequence divergence and are not monophyletic. In this paper, we propose that the different dorsal/ventral color types of A. japonicus belong to a single species.
Scientific Reports | 2018
Duk-gyu Sun; Hyeri Kang; Hannah Tetteh; Junfeng Su; Jihwan Lee; Sung-Won Park; Jufang He; Jihoon Jo; Sungchil Yang; Sunggu Yang
Synaptic plasticity in the lamellar CA3 to CA1 circuitry has been extensively studied while interlamellar CA1 to CA1 connections have not yet received much attention. One of our earlier studies demonstrated that axons of CA1 pyramidal neurons project to neighboring CA1 neurons, implicating information transfer along a longitudinal interlamellar network. Still, it remains unclear whether long-term synaptic plasticity is present within this longitudinal CA1 network. Here, we investigate long-term synaptic plasticity between CA1 pyramidal cells, using in vitro and in vivo extracellular recordings and 3D holography glutamate uncaging. We found that the CA1-CA1 network exhibits NMDA receptor-dependent long-term potentiation (LTP) without direction or layer selectivity. By contrast, we find no significant long-term depression (LTD) under various LTD induction protocols. These results implicate unique synaptic properties in the longitudinal projection suggesting that the interlamellar CA1 network could be a promising structure for hippocampus-related information processing and brain diseases.
Neurological Research | 2018
Manikandan Samidurai; Vijay S. Ramasamy; Jihoon Jo
Abstract Objective The suppressive action of the acute application of oligomeric amyloid-β (Aβ) on hippocampal long-term potentiation (LTP) has been reported widely. Many mechanisms have been proposed for Aβ inhibited LTP induction. The inflammatory cytokine tumor necrosis factor-α (TNF-α) has also been reported to play a key role in this LTP inhibition through Aβ. However, the underlying molecular mechanisms are largely unknown. This study aimed to investigate the link between Aβ- and TNF-α-mediated hippocampal LTP inhibition. Methods Acute hippocampal slices of male wildtype or Alzheimer’s disease (AD) transgenic mouse models were treated with the inhibitors of either TNF-α, IκB Kinase (IKK) or Nuclear Factor-κB (NF-κB) in the presence or absence of oligomeric Aβ42 (500 nM/2 h). The LTP was assessed using field excitatory post synaptic potential recordings (fEPSP), and immunoblotting was used to evaluate the expression of IKK and NF-κB. Results Acute treatment with Aβ or TNF-α alone inhibited LTP and increased the phosphorylation of IKK and NF-κB in wild type mouse hippocampal slices. Pretreatment with TNF-α antagonist infliximab rescued the LTP impairment by Aβ and also restored the levels of IKK and NF-κB to the control levels. In addition, pretreatment with IKK2 IV or JSH23 also restored the Aβ-mediated LTP impairment. Furthermore, AD transgenic mouse hippocampal slices treated with infliximab or inhibitors of IKK or NF-κB showed improved LTP and reversed the activation of IKK and NF-κB. Conclusion In conclusion, our observations suggest that the IKK/NF-κB signaling pathway play an important role in Aβ-mediated hippocampal LTP impairment. Aβ might modulate IKK/NF-κB activity by binding or activating tumor necrosis factor receptor (TNFR).
Nano Letters | 2018
Santhosh Rajendrakumar; Vishnu Revuri; Manikandan Samidurai; Adityanarayan Mohapatra; Jae Hyuk Lee; Palanivel Ganesan; Jihoon Jo; Yong-kyu Lee; In-Kyu Park
Oxidative stress during sepsis pathogenesis remains the most-important factor creating imbalance and dysregulation in immune-cell function, usually observed following initial infection. Hydrogen peroxide (H2O2), a potentially toxic reactive oxygen species (ROS), is excessively produced by pro-inflammatory immune cells during the initial phases of sepsis and plays a dominant role in regulating the pathways associated with systemic inflammatory immune activation. In the present study, we constructed a peroxide scavenger mannosylated polymeric albumin manganese dioxide (mSPAM) nanoassembly to catalyze the decomposition of H2O2 responsible for the hyper-activation of pro-inflammatory immune cells. In a detailed manner, we investigated the role of mSPAM nanoassembly in modulating the expression and secretion of pro-inflammatory markers elevated in bacterial lipopolysaccharide (LPS)-mediated endotoxemia during sepsis. Through a facile one-step solution-phase approach, hydrophilic bovine serum albumin reduced manganese dioxide (BM) nanoparticles were synthesized and subsequently self-assembled with cationic mannosylated disulfide cross-linked polyethylenimine (mSP) to formulate mSPAM nanoassembly. In particular, we observed that the highly stable mSPAM nanoassembly suppressed HIF1α expression by scavenging H2O2 in LPS-induced macrophage cells. Initial investigation revealed that a significant reduction of free radicals by the treatment of mSPAM nanoassembly has reduced the infiltration of neutrophils and other leukocytes in a local endotoxemia animal model. Furthermore, therapeutic studies in a systemic endotoxemia model demonstrated that mSPAM treatment reduced TNF-α and IL-6 inflammatory cytokines in serum, in turn circumventing organ damage done by the inflammatory macrophages. Interestingly, we also observed that the reduction of these inflammatory cytokines by mSPAM nanoassembly further prevented IBA-1 immuno-positive microglial cell activation in the brain and consequently improved the cognitive function of the animals. Altogether, the administration of mSPAM nanoassembly scavenged H2O2 and suppressed HIF1α expression in LPS-stimulated macrophages and thereby inhibited the progression of local and systemic inflammation as well as neuroinflammation in an LPS-induced endotoxemia model. This mSPAM nanoassembly system could serve as a potent anti-inflammatory agent, and we further anticipate its successful application in treating various inflammation-related diseases.