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Development of a Highly-Accurate Computational Model of Human Metabolism
A research team from KAIST developed a computational framework that enables the reconstruction of a comprehensive computational model of human metabolism, which allows for an accurate prediction of personal metabolic features (or phenotypes).
Understanding personal metabolic phenotypes allows us to design effective therapeutic strategies for various chronic and infectious diseases. A human computational model called the genome-scale metabolic model (GEM) contains information on thousands of metabolic genes and their corresponding reactions and metabolites, and has played an important role in predicting metabolic phenotypes. Although several versions of human GEMs have been released, they had room for further development, especially as to incorporating biological information coming from a human genetics mechanism called “alternative splicing.” Alternative splicing is a genetic mechanism that allows a gene to give rise to multiple reactions, and is strongly associated with pathology.
To tackle this problem, Jae Yong Ryu (a Ph.D. student), Dr. Hyun Uk Kim (Research Fellow), and Distinguished Professor Sang Yup Lee, all from the Department of Chemical and Biomolecular Engineering at KAIST, developed a computational framework that systematically generates metabolic reactions, and adds them to the human GEM. The resulting human GEM was demonstrated to accurately predict metabolic phenotypes under varied environmental conditions. The research results were published online in Proceedings of the National Academy of Sciences (PNAS) on October 24, 2017, under the title “Framework and resource for more than 11,000 gene-transcript-protein-reaction associations in human metabolism.”
The research team first updated the biological contents of a previous version of the human GEM. The updated biological contents include metabolic genes and their corresponding metabolites and reactions. In particular, metabolic reactions catalyzed by already-known protein isoforms were additionally incorporated into the human GEM; protein isoforms are multiple variants of proteins generated from individual genes through the alternative splicing process. Each protein isoform is often responsible for the operation of a metabolic reaction. Although multiple protein isoforms generated from one gene can play different functions by having different sets of protein domains and/or subcellular localizations, such information was not properly considered in previous versions of human GEMs.
Upon the initial update of the human GEM, named Recon 2M.1, the research team subsequently implemented a computational framework that systematically generates information on Gene-Transcript-Protein-Reaction Associations (GeTPRA) in order to identify protein isoforms that were previously not identified. This framework was developed in this study. As a result of the implementation of the framework for GeTPRA, more than 11,000 GeTPRA were automatically predicted, and thoroughly validated. Additional metabolic reactions were then added to Recon 2M.1 based on the predicted GeTPRA for the previously uncharacterized protein isoforms; Recon 2M.1 was renamed Recon 2M.2 from this upgrade.
Finally, Recon 2M.2 was integrated with 446 sets of personal biological data (RNA-Seq data) in order to build patient-specific cancer models. These patient-specific cancer models were used to predict cancer metabolism activities and anticancer targets.
The development of a new version of human GEMs along with the computational framework for GeTPRA is expected to boost studies in fundamental human genetics and medicine. Model files of the human GEMs Recon 2M.1 and 2M.2, a full list of the GeTPRA and the source code for the computational framework to predict the GeTPRA are all available as part of the publication of this study.
Distinguished Professor Lee said, “The predicted GeTPRA from the computational framework is expected to serve as a guideline for future experiments on human genetics and biochemistry, whereas the resulting Recon 2M.2 can be used to predict drug targets for various human diseases.”
This work was supported by the Technology Development Program to Solve Climate Changes on Systems Metabolic Engineering for Biorefineries (NRF-2012M1A2A2026556 and NRF-2012M1A2A2026557) from the Ministry of Science and ICT through the National Research Foundation (NRF) of Korea.
(Figure 1:A scheme of Recon 2M.1 development and its use in reconstructing personal genome-scale metabolic models (GEMs). (A) A concept of alternative splicing of human genes and its use in Gene-Transcript-Protein-Reaction Associations (GeTPRA) of Recon 2M.1. (B) A procedure of systematic refinement of the Recon 2Q. Recon 2Q is one of the previously released human GEMs. Biochemically inconsistent reactions include unbalanced, artificial, blocked, and/or redundant reactions. Iterative manual curation was conducted while validating the Recon 2M.1. (C) Reconstruction of cancer patient-specific GEMs using Recon 2M.1 for further simulation studies. In this study, personal biological data (RNA-Seq data) were obtained from The Cancer Genome Atlas (TCGA; https://cancergenome.nih.gov/ ) across the ten cancer types.
(Figure 2: Computational framework for the systematic generation of Gene-Transcript-Protein-Reaction Associations (GeTPRA; red box in the flowchart). Peptide sequences of metabolic genes defined in Recon 2M.1 were retrieved from a database called Ensembl. EC numbers and subcellular localizations of all the protein isoforms of metabolic genes in Recon 2M.1 were predicted using software programs EFICAz2.5 and Wolf PSort, respectively. Information on the newly predicted GeTPRA was systematically incorporated into the Recon 2M.1, thereby resulting in Recon 2M.2.)
2017.10.25 View 9860 -
Professor Dai Gil Lee Recognized by the ICCS
Emeritus Professor Dai Gil Lee, from the School of Mechanical and Aerospace Engineering at KAIST, received a special achievement award from the 20th International Conference on Composite Structures (ICCS).
ICCS is a renowned conference in the field of applied composite structures, which highlights the practicality of composite structures. This year, the conference was held at the Conservatoire National des Arts et Métiers (CNAM), Paris, France from September 4 to 7. Approximately 650 papers were presented from 45 countries.
Especially, the conference honored Emeritus Professor Lee, who has been engaged in ICCS since 1993 and received best paper award twice. The ICCS recognized him for serving with distinction in science and technology in the fields of composite materials and structures. As a member of the Editorial Board for many years, he gave significant support to the journal Composite Structures. At the conference, he gave a special lecture titled ‘Lightweight Carbon Composite Proton Exchange Membrane Fuel Cells’.
Professor Lee said, “I will dedicate myself to innovate Vanadium Redox Flow Battery-ESS (VRFB) based on the research findings announced at the conference and related patents. I am hoping that these efforts will contribute to solving energy issues around the world.”
2017.10.19 View 7795 -
Professor YongKeun Park Elected as a Fellow of the Optical Society
Professor YongKeun Park, from the Department of Physics at KAIST, was elected as a fellow member of the Optical Society (OSA) in Washington, D.C. on September 12. Fellow membership is given to members who have made a significant contribution to the advancement of optics and photonics.
Professor Park was recognized for his research on digital holography and wavefront control technology.
Professor Park has been producing outstanding research outcomes in the field of holographic technology and light scattering control since joining KAIST in 2010. In particular, he developed and commercialized technology for a holographic telescope. He applied it to various medical and biological research projects, leading the field worldwide.
In the past, cells needed to be dyed with fluorescent materials to capture a 3-D image. However, Professor Park’s holotomography (HT) technology can capture 3-D images of living cells and tissues in real time without color dyeing. This technology allows diversified research in the biological and medical field.
Professor Park established a company, Tomocube, Inc. in 2015 to commercialize the technology. In 2016, he received funding from SoftBank Ventures and Hanmi Pharmaceutical. Currently, major institutes, including MIT, the University of Pittsburgh, the German Cancer Research Center, and Seoul National University Hospital are using his equipment.
Recently, Professor Park and his team developed technology based on light scattering measurements. With this technology, they established a company called The Wave Talk and received funding from various organizations, such as NAVER. Its first product is about to be released.
Professor Park said, “I am glad to become a fellow member based on the research outcomes I produced since I was appointed as a professor at KAIST. I would like to thank the excellent researchers as well as the school for its support. I will devote myself to continuously producing novel outcomes in both basic and applied fields.”
Professor Park has published nearly 100 papers in renowned journals including Nature Photonics, Nature Communications, Science Advances, and Physical Review Letters.
2017.10.18 View 11667 -
Ultra-Fast and Ultra-Sensitive Hydrogen Sensor
(From left: Professor Kim, Ph.D. candidate Koo, and Professor Penner)
A KAIST team made an ultra-fast hydrogen sensor that can detect hydrogen gas levels under 1% in less than seven seconds. The sensor also can detect hundreds of parts per million levels of hydrogen gas within 60 seconds at room temperature.
A research group under Professor Il-Doo Kim in the Department of Materials Science and Engineering at KAIST, in collaboration with Professor Reginald M. Penner of the University of California-Irvine, has developed an ultra-fast hydrogen gas detection system based on a palladium (Pd) nanowire array coated with a metal-organic framework (MOF).
Hydrogen has been regarded as an eco-friendly next-generation energy source. However, it is a flammable gas that can explode even with a small spark. For safety, the lower explosion limit for hydrogen gas is 4 vol% so sensors should be able to detect the colorless and odorless hydrogen molecule quickly. The importance of sensors capable of rapidly detecting colorless and odorless hydrogen gas has been emphasized in recent guidelines issued by the U.S. Department of Energy. According to the guidelines, hydrogen sensors should detect 1 vol% of hydrogen in air in less than 60 seconds for adequate response and recovery times.
To overcome the limitations of Pd-based hydrogen sensors, the research team introduced a MOF layer on top of a Pd nanowire array. Lithographically patterned Pd nanowires were simply overcoated with a Zn-based zeolite imidazole framework (ZIF-8) layer composed of Zn ions and organic ligands. ZIF-8 film is easily coated on Pd nanowires by simple dipping (for 2–6 hours) in a methanol solution including Zn (NO3)2·6H2O and 2-methylimidazole.
(This cover image depicts lithographically-patterned Pd nanowires overcoated with a Zn-based zeolite imidazole framework (ZIF-8) layer.)
As synthesized ZIF-8 is a highly porous material composed of a number of micro-pores of 0.34 nm and 1.16 nm, hydrogen gas with a kinetic diameter of 0.289 nm can easily penetrate inside the ZIF-8 membrane, while large molecules (> 0.34 nm) are effectively screened by the MOF filter. Thus, the ZIF-8 filter on the Pd nanowires allows the predominant penetration of hydrogen molecules, leading to the acceleration of Pd-based H2 sensors with a 20-fold faster recovery and response speed compared to pristine Pd nanowires at room temperature.
Professor Kim expects that the ultra-fast hydrogen sensor can be useful for the prevention of explosion accidents caused by the leakage of hydrogen gas. In addition, he expects that other harmful gases in the air can be accurately detected through effective nano-filtration by using of a variety of MOF layers.
This study was carried out by Ph.D. candidate Won-Tae Koo (first author), Professor Kim (co-corresponding author), and Professor Penner (co-corresponding author). The study has been published in the online edition of ACS Nano, as the cover-featured image for the September issue.
Figure 1. Representative image for this paper published in ACS Nano, August, 18.
Figure 2. Images of Pd nanowire array-based hydrogen sensors, scanning electron microscopy image of a Pd nanowire covered by a metal-organic framework layer, and the hydrogen sensing properties of the sensors.
Figure 3. Schematic illustration of a metal-organic framework (MOF). The MOF, consisting of metal ions and organic ligands, is a highly porous material with an ultrahigh surface area. The various structures of MOFs can be synthesized depending on the kinds of metal ions and organic ligands.
2017.09.28 View 10818 -
KAIST-WEF Roundtable on Inclusive Growth and Job Creation
The World Economic Forum (WEF) will join KAIST in an effort to address sweeping global problems in the wake of the Fourth Industrial Revolution. The two will co-host a roundtable on ‘Shaping Korea’s Priorities for Inclusive Growth and Job Creation in the Fourth Industrial Revolution’ on October 13 at Lotte Hotel in Seoul.
The roundtable will bring together leaders from government, industry, universities, and non-profit civic organizations to have an in-depth discussion on a thought-provoking agenda of inclusive growth and job creation which scientific and technological changes will bring about. The event will provide a platform to explore practical collaboration and innovative strategies for better job creation and innovation ecosystems.
The two will also sign an MOU for collaboration between the Fourth Industrial Revolution Information Center (FIRIC) of KAIST and the WEF Center for the Fourth Industrial Revolution (C4IR).
President Sung-Chul Shin of KAIST and the Head of the WEF Center for the Fourth Industrial Revolution, Murat Sonmez, will lead the panel discussion titled ‘Inclusive Growth and the Fourth Industrial Revolution’ which will be attended by leaders from government, industry, and non-profit civic organizations.
At the breakout sessions, the topics will be “Future Jobs” and the “Creation of Innovation Ecosystems”. Additionally, a discussion on the “SME 4.0 Initiative”, which is a program pushed forward by KAIST in collaboration with local governments, will talk about job creation through innovation in small and medium-sized enterprises (SMEs). The WEF will introduce their two-year activities and research on the Fourth Industrial Revolution, which have great potential and a high possibility of successfully undergoing the revolution, to Korea.
Since WEF Executive Chairman Klaus Schwab brought up the topic of the Fourth Industrial Revolution, the WEF has been leading agenda topics and discussions on high-profile matters, including ‘technology-driven but human-centered inclusive growth’ in predicting the future of jobs.
The WEF is a nonprofit organization committed to addressing the world’s weightiest problems. It is best known for its annual meetings in Davos, Switzerland, which attracts leaders from around the world. KAIST has been participating in this summit since 2009. President Shin will also attend the upcoming Davos summit next January. Distinguished Professor Sang Yup Lee who heads the KAIST Institute and the FIRIC is the co-chair of the Global Council on Biotechnology and a member of the Global Future Council on the Fourth Industrial Revolution at the WEF.
Moreover, President Shin and Mr. Sonmez will explain the background of the roundtable and share the results of the sessions at a joint news conference.
2017.09.28 View 9995 -
Unlocking the Keys to Parkinson's Disease
A KAIST research team has identified a new mechanism that causes the hallmark symptoms of Parkinson’s disease, namely tremors, rigidity, and loss of voluntary movement.
The discovery, made in collaboration with Nanyang Technological University in Singapore, presents a new perspective to three decades of conventional wisdom in Parkinson’s disease research. It also opens up new avenues that can help alleviate the motor problems suffered by patients of the disease, which reportedly number more than 10 million worldwide. The research was published in Neuron on August 30.
The research team was led by Professor Daesoo Kim from the Department of Biological Sciences at KAIST and Professor George Augustine from the Lee Kong Chian School of Medicine at NTU. Dr. Jeongjin Kim, a former postdoctoral fellow at KAIST who now works at the Korea Institute of Science and Technology (KIST), is the lead author.
It is known that Parkinson’s disease is caused by a lack of dopamine, a chemical in the brain that transmits neural signals. However, it remains unknown how the disease causes the motor
Smooth, voluntary movements, such as reaching for a cup of coffee, are controlled by the basal ganglia, which issue instructions via neurons (nerve cells that process and transmit information in the brain) in the thalamus to the cortex. These instructions come in two types: one that triggers a response (excitatory signals) and the other that suppresses a response (inhibitory signals). Proper balance between the two controls movement.
A low level of dopamine causes the basal ganglia to severely inhibit target neurons in the thalamus, called an inhibition. Scientists have long assumed that this stronger inhibition causes the motor problems of Parkinson’s disease patients.
To test this assumption, the research team used optogenetic technology in an animal model to study the effects of this increased inhibition of the thalamus and ultimately movement. Optogenetics is the use of light to control the activity of specific types of neurons within the brain.
They found that when signals from the basal ganglia are more strongly activated by light, the target neurons in the thalamus paradoxically became hyperactive. Called rebound excitation, this hyperactivity produced abnormal muscular stiffness and tremor. Such motor problems are very similar to the symptoms of Parkinson’s disease patients. When this hyperactivity of thalamic neurons is suppressed by light, mice show normal movments without Parkinson’s disease symptoms. Reducing the levels of activity back to normal caused the motor symptoms to stop, proving that the hyperactivity caused the motor problems experienced by Parkinson’s disease patients.
Professor Kim at KAIST said, “This study overturns three decades of consensus on the provenance of Parkinsonian symptoms.” The lead author, Dr Jeongjin Kim said, “The therapeutic implications of this study for the treatment of Parkinsonian symptoms are profound. It may soon become possible to remedy movement disorders without using L-DOPA, a pre-cursor to dopamine.”
Professor Augustine at NTU added, “Our findings are a breakthrough, both for understanding how the brain normally controls the movement of our body and how this control goes awry during Parkinson’s disease and related dopamine-deficiency disorders.”
The study took five years to complete, and includes researchers from the Department of Bio & Brain Engineering at KAIST.
The research team will move forward by investigating how hyperactivity in neurons in the thalamus leads to abnormal movement, as well as developing therapeutic strategies for the disease by targeting this neural mechanism.
Figure abstract: Inhibitory inputs from the basal ganglia inhibit thalamic neurons (upper). In low-dopamine states, like PD, rebound firing follows inhibition and causes movement disorders (middle). The inhibition of rebound firing alleviates PD-like symptoms in a mouse model of PD.
2017.09.22 View 10405 -
Semiconductor Patterning of Seven Nanometers Technology Using a Camera Flash
A research team led by Professor Sang Ouk Kim in the Department of Materials Science and Engineering at KAIST has developed semiconductor manufacturing technology using a camera flash.
This technology can manufacture ultra-fine patterns over a large area by irradiating a single flash with a seven-nanometer patterning technique for semiconductors. It can facilitate the manufacturing of highly efficient, integrated semiconductor devices in the future.
Technology for the Artificial Intelligence (AI), the Internet of Things (IoTs), and big data, which are the major keys for the fourth Industrial Revolution, require high-capacity, high-performance semiconductor devices. It is necessary to develop lithography technology to produce such next-generation, highly integrated semiconductor devices.
Although related industries have been using conventional photolithography for small patterns, this technique has limitations for forming a pattern of sub-10 nm patterns.
Molecular assembly patterning technology using polymers has been in the spotlight as the next generation technology to replace photolithography because it is inexpensive to produce and can easily form sub-10 nm patterns. However, since it generally takes a long time for heat treatment at high-temperature or toxic solvent vapor treatment, mass production is difficult and thus its commercialization has been limited.
The research team introduced a camera flash that instantly emits strong light to solve the issues of polymer molecular assembly patterning. Using a flash can possibly achieve a semiconductor patterning of seven nanometers within 15 milliseconds (1 millisecond = 1/1,000 second), which can generate a temperature of several hundred degrees Celsius in several tens of milliseconds.
The team has demonstrated that applying this technology to polymer molecular assembly allows a single flash of light to form molecular assembly patterns.
The team also identified its compatibility with polymer flexible substrates, which are impossible to process at high temperatures. Through these findings, the technology can be applied to the fabrication of next-generation, flexible semiconductors.
The researchers said the camera flash photo-thermal process will be introduced into molecular assembly technology and this highly-efficiency technology can accelerate the realization of molecular assembly semiconductor technology.
Professor Kim, who led the research, said, “Despite its potential, molecular assembly semiconductor technology has remained a big challenge in improving process efficiency.” “This technology will be a breakthrough for the practical use of molecular assembly-based semiconductors.”
The paper was published in the international journal, Advanced Materials on August 21 with first authors, researcher Hyeong Min Jin and PhD candidate Dae Yong Park.
The research, sponsored by the Ministry of Science and ICT, was co-led Professor by Keon Jae Lee in the Department of Materials Science and Engineering at KAIST, and Professor Kwang Ho Kim in the School of Materials Science and Engineering at Pusan National University.
(1. Formation of semiconductor patterns using a camera flash)
(Schematic diagram of molecular assembly pattern using a camera flash)
(Self-assembled patterns)
2017.09.18 View 11207 -
Research Center for Smart Submerged Floating Tunnel Systems Opens
(Distinguished guests including President Shin (fourth from the right) and Director Lee (third from left) at the opening ceremony)
The Research Center for a Smart Submerged Floating Tunnel Systems was recently established at KAIST with the purpose of taking the lead in developing fundamental and applicable technology for submerged floating tunnels as well as fostering creative and talented people. Haeng-Ki Lee, a professor in the Department of Civil & Environmental Engineering at KAIST is heading the center.
KAIST held its opening ceremony on September 7, 2017 in the Applied Engineering Building located on the main campus.
Distinguished guests, including KAIST president Sung-Chul Shin, the President of the Korea Institute of Ocean Science and Technology Gi-Hoon Hong, the President of the Korean Society of Civil Engineering Young-Seok Park, and the Director in the Division of Engineering at the National Research Foundation of Korea Joong-Kon Park attended the ceremony.
The National Research Foundation of Korea provides Engineering Research Center (ERC) projects which find and foster groups with outstanding research performance in a field of engineering. The projects support these groups so that they can strengthen their global competitiveness while enhancing national competence in basic research.
The ‘Research Center for Smart Submerged Floating Tunnel Systems’ was selected as one of the ERC projects in 2017. For the next seven years, the research center will work to develop a submerged floating tunnel system resistant depths greater than 100 meters.
To achieve its goal, the center has defined crucial research topics including: i) a structural analysis program and integrated design technology specific for submerged floating tunnel systems, ii) high-durability marine construction materials and submerged construction integrated systems, and iii) safety and maintenance integrated technology for smart submerged floating tunnel systems.
The ‘Research Center for Smart Submerged Floating Tunnel Systems’ will devote itself to developing a variety of fundamental and applicable technology that will be leading global maritime construction. Moreover, it will concentrate on fostering professional research manpower in related areas.
The Director of the Center Lee said, “The center will cooperate with KAIST researchers who are experts in various fields, including structures, materials, construction, and maritime research. Based on this collaboration, the center will contribute to achieving autonomous technologies by developing fundamental and applicable technology related with submerged floating tunnel systems. It will also take the role of a leading global research hub in the field of submerged floating tunnels as well as construction technologies.”
2017.09.07 View 9340 -
KAIST Partners with Technion and Hyundai Motors for Future Mobility Technology Development
(KAIST Associate Vice President of Research Joung-Ho Kim(third from left) poses with Technion President Pereta Lavie and CTO Tae Won Im of Hyundai Motors)
KAIST has partnered with the Israel Institute of Technology, Technion, and Hyundai Motors to take the lead in the field of future mobility technologies. The three parties signed a consortium of global alliance for future mobility partnership at Technion on Sept. 5. KAIST Associate Vice President of Research Kim Joung-Ho, Hyundai Motor’s Central Advanced Research and Engineering CTO Tae Won Lim, and Technion President Peretz Lavie signed the MOU.
The three parties agreed to conduct joint research on hi-tech mobility areas including self-driving systems, cyber security, and AI in mobility. With the signing of the consortium, KAIST's technology in AI, semiconductors, and autonomous cars will produce synergy with Technion’s connected car solutions, advancing Hyundai Motor's competitiveness in the future mobility market.
In addition to the consortium, the three parties will set-up a startup consulting committee, which will provide consulting services for nurturing venture startups with creative ideas and outstanding technological prowess in their host countries.
2017.09.07 View 6287 -
KAIST AI Academy for LG CNS Employees
The Department of Industrial & Systems Engineering (Graduate School of Knowledge Service Engineering) at KAIST has collaborated with LG CNS to start a full-fledged KAIST AI Academy course after the two-week pilot course for employees of LG CNS, a Korean company specializing in IT services.
Approximately 100 employees participated in the first KAIST AI Academy course held over two weeks from August 24 to September 1. LG CNS is planning to enroll a total of 500 employees in this course by the end of the year.
Artificial intelligence is widely recognized as essential technology in various industries. In that sense, the KAIST AI Academy course was established to reinforce both the AI technology and the business ability of the company. In addition, it aims at leading employees to develop new business using novel technologies. The main contents of this course are as follows: i) discussing AI technology development and its influence on industries; ii) understanding AI technologies and acquiring the major technologies applicable to business; and iii) introducing cases of AI applications and deep learning.
During the course, seven professors with expertise in AI deep learning from the Department of Industrial & Systems Engineering (Graduate School of Knowledge Service Engineering), including Jae-Gil Lee and Jinkyoo Park will be leading the class, including practical on-site educational programs.
Based on the accumulated business experience integrated with the latest AI technology, LG CNS has been making an effort to find new business opportunities to support companies that are hoping to make digital innovations.
The company aims to reinforce the AI capabilities of its employees and is planning to upgrade the course in a sustainable manner. It will also foster outside manpower by expanding the AI education to its clients who pursue manufacturing reinforcement and innovation in digital marketing.
Seong Wook Lee, the Director of the AI and Big Data Business Unit said, “As AI plays an important role in business services, LG CNS decided to open the KAIST AI Academy course to deliver better value to our clients by incorporating our AI-based business cases and KAIST’s up-to-date knowledge.”
2017.09.06 View 7344 -
KAIST to Open the Meditation Research Center
KAIST announced that it will open its Meditation Research Center next June. The center will serve as a place for the wellness of KAIST community as well as for furthering the cognitive sciences and its relevant convergence studies.
For facilitating the center, KAIST signed an MOU with the Foundation Academia Platonica in Seoul, an academy working for enriching the humanities and insight meditation on Aug.31. The Venerable Misan, a Buddhist monk well-known for his ‘Heart Smile Meditation’ program, will head the center.
The center will also conduct convergence research on meditation, which will translate into brain imaging, cognitive behavior, and its psychological effects. Built upon the research, the center expects to publish textbooks on meditation and will distribute them to the public and schools in an effort to widely disseminate the benefits of meditation.
As mindful meditation has become mainstream and more extensively studied, growing evidence suggests multiple psychological and physical benefits of these mindfulness exercises as well as for similar practices. Mind-body practices like meditation have been shown to reduce the body’s stress response by strengthening the relaxation response and lowering stress hormones.
The Venerable Misan, a Ph.D in philosophy from Oxford University, also serves as the director of the Sangdo Meditation Center and a professor at Joong-Ang Sangha University, a higher educational institution for Buddhist monks.
Monk Misan said that meditation will play a crucial part in educating creative students with an empathetic mindset. He added, “Hi-tech companies in Silicon Valley such as Google and Intel have long introduced meditation programs for stress management. Such practices will enhance the wellness of employees as well as their working efficiency.”
President Sung-Chul Shin said of the opening of the center, “From long ago, many universities in foreign countries including Havard, Stanford, Oxfor universities and the Max Planck Institute in Germany have applied scientific approaches to meditation and installed meditation centers. I am pleased to open our own center next year and I believe that it will bring more diverse opportunities for advancing convergent studies in AI and cognitive sciences.
2017.08.31 View 6174 -
Discovery of an Optimal Drug Combination: Overcoming Resistance to Targeted Drugs for Liver Cancer
A KAIST research team presented a novel method for improving medication treatment for liver cancer using Systems Biology, combining research from information technology and the life sciences. Professor Kwang-Hyun Cho in the Department of Bio and Brain Engineering at KAIST conducted the research in collaboration with Professor Jung-Hwan Yoon in the Department of Internal Medicine at Seoul National University Hospital. This research was published in Hepatology in September 2017 (available online from August 24, 2017).
Liver cancer is the fifth and seventh most common cancer found in men and women throughout the world, which places it second in the cause of cancer deaths. In particular, Korea has 28.4 deaths from liver cancer per 100,000 persons, the highest death rate among OECD countries and twice that of Japan.
Each year in Korea, 16,000 people get liver cancer on average, yet the five-year survival rate stands below 12%. According to the National Cancer Information Center, lung cancer (17,399) took the highest portion of cancer-related deaths, followed by liver cancer (11,311) based on last year data.
Liver cancer is known to carry the highest social cost in comparison to other cancers and it causes the highest fatality in earlier age groups (40s-50s). In that sense, it is necessary to develop a new treatment that mitigates side effects yet elevates the survival rate.
There are ways in which liver cancer can be cured, such as surgery, embolization, and medication treatments; however, the options become limited for curing progressive cancer, a stage in which surgical methods cannot be executed.
Among anticancer medications, Sorafenib, a drug known for enhancing the survival rate of cancer patients, is a unique drug allowed for use as a targeted anticancer medication for progressive liver cancer patients. Its sales reached more than ten billion KRW annually in Korea, but its efficacy works on only about 20% of the treated patients. Also, acquired resistance to Sorafenib is emerging. Additionally, the action mechanism and resistance mechanism of Sorafenib is only vaguely identified.Although Sorafenib only extends the survival rate of terminal cancer patients less than three months on average, it is widely being used because drugs developed by global pharmaceutical companies failed to outperform its effectiveness.
Professor Cho’s research team analyzed the expression changes of genes in cell lines in response to Sorafenib in order to identify the effect and the resistance mechanism of Sorafenib.
As a result, the team discovered the resistance mechanism of Sorafenib using Systems Biology analysis. By combining computer simulations and biological experiments, it was revealed that protein disulfide isomerase (PDI) plays a crucial role in the resistance mechanism of Sorafenib and that its efficacy can be improved significantly by blocking PDI.
The research team used mice in the experiment and discovered the synergic effect of PDI inhibition with Sorafenib for reducing liver cancer cells, known as hepatocellular carcinoma. Also, more PDIs are shown in tissue from patients who possess a resistance to Sorafenib. From these findings, the team could identify the possibility of its clinical applications. The team also confirmed these findings from clinical data through a retrospective cohort study.
“Molecules that play an important role in cell lines are mostly put under complex regulation. For this reason, the existing biological research has a fundamental limitations for discovering its underlying principles,” Professor Cho said. “This research is a representative case of overcoming this limitation of traditional life science research by using a Systems Biology approach, combining IT and life science. It suggests the possibility of developing a new method that overcomes drug resistance with a network analysis of the targeted drug action mechanism of cancer.”
The research was supported by the National Research Foundation of Korea (NRF) and funded by the Ministry of Science and ICT.
(Figure 1. Simulation results from cellular experiments using hepatocellular carcinoma)
(Figure 2. Network analysis and computer simulation by using the endoplasmic reticulum (ER) stress network)
(Figure 3. ER stress network model)
2017.08.30 View 11705