Kim Hyun H - OmicsDI

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Unknown (337)
Transcriptomics (46)
Proteomics (20)
Genomics (11)
Metabolomics (9)
Models (4)
Genomic (1)

Organisms

Homo sapiens (29)
Andropogon gerardi (12)
Bacteria (12)
Canis lupus familiaris (12)
Cnidaria (12)
Ensifer adhaerens (12)
Fasciola (12)
Human alphaherpesvirus 1 strain 17 (12)
Human alphaherpesvirus 1 strain KOS (12)
Human betaherpesvirus 5 (12)
Human herpesvirus 2 strain 186 (12)
Madurella mycetomatis (12)
Mesocricetus auratus (12)
Miscanthus x giganteus (12)
Mus musculus (12)
Panicum virgatum (12)
Platyhelminthes (12)
Pseudomonas aeruginosa AES-1R (12)
Mus musculus (9)
Gallus gallus (8)
Rattus norvegicus (3)
cellular organisms (2)
Klebsiella pneumoniae subsp. pneumoniae MGH 78578 (2)
Vibrio vulnificus (1)
Thermococcus onnurineus NA1 (1)
Schizosaccharomyces pombe (1)
Oryza sativa (1)
Saccharomyces cerevisiae (1)
Escherichia coli str. K-12 substr. MG1655 (1)
Arabidopsis thaliana (1)

Repository

biostudies-arrayexpress (47)
pride (12)
EGA (10)
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GNPS (4)
dbGaP (1)
jPOST (1)

Tissue

Permanent cell line cell (2)
Blood serum (1)
Brain (1)
Cell culture (1)
Cerebrospinal fluid (1)
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Liver (1)
MEF cell (1)
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Disease

Disease free (2)
Parkinson's disease (1)

Technology Type

Mass Spectrometry (12)
Mass spectrometry (4)
Bottom-up proteomics (4)
Shotgun proteomics (4)
Chemical cross-linking coupled with mass spectrometry proteomics (2)
NMR spectroscopy (1)
Mass spectrometry assay (1)
Affinity purification coupled with mass spectrometry proteomics (1)
Data-dependent acquisition (1)
Top-down proteomics (1)

Instrument Platform

Xevo G2 Q-Tof (3)
LTQ Orbitrap (2)
Orbitrap Exploris 480 (2)
Orbitrap Fusion (2)
Exactive (Thermo Scientific) (2)
Illumina HiSeq 2500 (1)
ACQUITY UPLC H-Class (1)
TripleTOF 5600 (1)
LTQ Orbitrap Elite (1)
Orbitrap Eclipse (1)
Q Exactive Plus (1)
Liquid Chromatography MS - Negative (LC-MS (Negative)) (1)
Gas Chromatography MS - Positive (GC-MS (Positive)) (1)
Gas Chromatography MS - positive (1)
Nuclear Magnetic Resonance (NMR) - (1)
Liquid Chromatography MS - alternating - hilic (1)

Publication Date

2012 (13)
2013 (12)
2015 (8)
2024 (7)
2014 (5)
2022 (4)
2011 (4)
2010 (4)
2020 (4)
2025 (3)
2026 (3)
2008 (2)
2018 (2)
2017 (2)
2021 (2)
2023 (2)
2019 (2)

CHEBI ID

CHEBI:15741 (3)
CHEBI:17568 (3)
CHEBI:32816 (3)
CHEBI:17596 (3)
CHEBI:17368 (3)
CHEBI:36080 (2)
CHEBI:33699 (2)
CHEBI:16525 (2)
CHEBI:16695 (2)
CHEBI:15698 (2)
CHEBI:16732 (2)
CHEBI:35128 (2)
CHEBI:15676 (2)
CHEBI:52742 (2)
CHEBI:16708 (2)
CHEBI:15956 (2)
CHEBI:16742 (2)
CHEBI:17724 (2)
CHEBI:506227 (2)
CHEBI:17562 (2)
CHEBI:15887 (2)
CHEBI:9533 (2)
CHEBI:15946 (2)
CHEBI:27470 (2)
CHEBI:17016 (2)
CHEBI:16283 (2)
CHEBI:16750 (2)
CHEBI:16349 (2)
CHEBI:15729 (2)
CHEBI:18385 (2)

Metabolite Name

CDP-ethanolamine (2)
4-Allyl-1,2-diacetoxybenzene (1)
Chavibetol acetate (1)
Chavibetol (1)
Chavicol acetate (1)
Methyl chavicol (1)
LysoPE(15:0) (1)
Monoacylglycerol(18:4) (1)
Keto-D-fructose 6-phosphate (1)
3-sulfopyruvic acid (1)
Palmitoyl-CoA (1)
Keto-phenylpyruvate (1)
Menadione (1)
7H-purine (1)
Isocaproic acid (1)
N(2)-acetyl-L-lysine (1)
Beta-cellobiose (1)
NMN zwitterion (1)
Alpha-D-Glcp-(1->4)-alpha-D-Glcp-(1->4)-D-Glcp (1)
Thiamine(1+) diphosphate (1)
UDP-alpha-D-glucuronic acid (1)
2,3-bisphospho-D-glyceric acid (1)
Molybdate (1)
Alpha-D-galacturonic acid (1)
3-hydroxy-1-benzopyran-2-one (1)
3'-dephospho-CoA (1)
Geranyl diphosphate (1)
Terpinen-4-ol (1)
Isobutyryl-CoA (1)
N(omega),N(omega)-dimethyl-L-arginine (1)

IsPrivate

False (4)

Model Flag

Non Kinetic (2)

Submitter Keywords

FROG (1)

Modelling Approach

Ordinary differential equation model (2)
Constraint-based model (2)

Study type

Transcription profiling by array (36)
RNA-seq of coding RNA (5)
Unknown experiment type (1)
ChIP-chip by tiling array (1)
Transcription profiling by tiling array (1)
Transcription profiling by RT-PCR (1)
Comparative genomic hybridization by array (1)
ChIP-seq (1)

Release Date

2023 (53)
2022 (49)
2021 (42)
2024 (37)
2025 (33)
2020 (25)
2012 (20)
2013 (19)
2018 (17)
2015 (15)
2019 (13)
2011 (12)
2017 (12)
2016 (9)
2026 (8)
2014 (7)
2009 (5)
2010 (4)
2008 (3)
2007 (1)

Lab affiliation

Basic Research Lab for “Epigenetic Regeneration of Aged Skeleto-Muscular System (ERASMUS)”, Department of Molecular Genetics and Dental Pharmacology, School of Dentistry, Dental Research Institute, Seoul National University, Seoul, South Korea (1)
Biogen Inc., 225 Binney St, Cambridge, MA 02142, USA; Laboratory of Inflammation Research, School of Life Science, Handong Global University, 558 Handong-ro, Buk-gu, Pohang, Gyeongbuk 37554, Republic of Korea (1)
Department of Chemistry, Seoul National University, Seoul 08826, Korea (1)
Department of Life Sciences, Korea University, Seoul 02841, Korea (1)
Department of Life Sciences, Korea University, Seoul 02841, Republic of Korea (1)
Director, Doping Control Center, Korea Institute of Science and Technology, Repulic of Korea (1)
Division of Vascular Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea (1)
Johns Hopkins University School of Medicine (1)
Neuroregeneration and Stem Cell Programs, Institute for Cell Engineering, Department of Neurology, Johns Hopkins University School of Medicine (1)
R&D Center for Clinical Mass Spectrometry, Seegene Medical Foundation, Seongdong-gu, Seoul, Republic of Korea. (1)
School of Pharmacy, Sungkyunkwan University, South Korea (1)
Seoul National University IBS (1)

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Kim2011 - the genome scale reconstruction of the Vibrio vulnificus metabolic network - VvuMBEL943

This is a model of the genome scale reconstruction of the Vibrio vulnificus metabolic network, VvuMBEL943, described in the article: Integrative genome-scale metabolic analysis of Vibrio vulnificus for drug targeting and discovery Hyun Uk Kim, Soo Young Kim, Haeyou...

2024-09-02 | BIOMD0000001064 | BioModels

FROG

Report on the complete organelle genomes of Orobanche Filicicola Nakai ex Hyun, Y. S. Lim & H. C. Shin (Orobanchaceae): insights from comparison with Orobanchaceae plant genomes.

Not available

S-EPMC11834515 | biostudies-literature

microRNA expressions in gastric cancer

The study was undertaken to identify microRNAs differently expressed by intestinal type of gastric cancer using miRNA microarray. The miRNA expression in the intestinal type of gastric cancer depending on H. pylori infection suggest that different gastric cancer pathogenesis could be exist between H...

ORGANISM(S): Homo sapiens

2014-01-25 | E-GEOD-54397 | biostudies-arrayexpress

Concomitant therapy achieved the best eradication rate for Helicobacter pylori among various treatment strategies.

Not available

S-EPMC4284355 | biostudies-literature

The role of thermal annealing on the microstructures of (Ti, Fe)-alloyed Si thin-film anodes for high-performance Li-ion batteries.

Not available

S-EPMC9078669 | biostudies-literature

Kim2007 - Genome-scale metabolic network of Mannheimia succiniciproducens (iTY425)

Kim2007 - Genome-scale metabolic network of Mannheimia succiniciproducens (iTY425) This model is described in the article: Genome-scale analysis of Mannheimia succiniciproducens metabolism. Kim TY, Kim HU, Park JM, Song H, Kim JS, Lee SY. Biotechnol. Bioeng. 2007 Jul; 97(4): ...

2015-07-30 | MODEL1507180062 | BioModels

Risk of gastric cancer is associated with PRKAA1 gene polymorphisms in Koreans.

Not available

S-EPMC4093708 | biostudies-literature

ITGA1 polymorphisms and haplotypes are associated with gastric cancer risk in a Korean population.

Not available

S-EPMC3793141 | biostudies-literature

Metabolomics-Driven Discovery of an Introduced Species and Two Malaysian Piper betle L. Variants

The differences in pungency of 'sirih' imply the probable occurrence of several variants of Piper betle L. in Malaysia. However, the metabolite profiles underlying the pungency of the different variants remain a subject of further research. The differences in metabolite profiles of selected M...

2022-03-21 | MTBLS2585 | MetaboLights

Deciphering the Anti-Obesity Mechanisms of Pharmabiotic Probiotics through Advanced Multiomics Analysis

Probiotics with 'Pharmabiotic' properties are increasingly recognized as effective tools for combating obesity by altering gut microbiota and reducing body fat. However, the molecular mechanisms underlying their anti-obesity effects remain largely unexplored due to the absence of a universal methodo...

2025-02-20 | MTBLS12185 | MetaboLights

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