A5026384288- RNA modifications and cancer
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- RNA Research and Splicing
- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques
- Genetic Associations and Epidemiology
- Genetics, Bioinformatics, and Biomedical Research
- Circular RNAs in diseases
- Machine Learning in Healthcare
- Corporate Social Responsibility Reporting
- Genetics, Aging, and Longevity in Model Organisms
- Corporate Finance and Governance
- CRISPR and Genetic Engineering
- Cellular transport and secretion
- Environmental Sustainability in Business
- RNA and protein synthesis mechanisms
- Lung Cancer Treatments and Mutations
- Colorectal Cancer Screening and Detection
- Extracellular vesicles in disease
- Plant Genetic and Mutation Studies
- Computational Drug Discovery Methods
- DNA Repair Mechanisms
- Ubiquitin and proteasome pathways
- Microtubule and mitosis dynamics
Gachon University
2023-2024
Seoul National University
2009-2023
Institute for Basic Science
2018-2022
UNSW Sydney
2018
The University of Texas Southwestern Medical Center
2013-2016
Korea National Institute of Health
2013
Southwestern Medical Center
2013
MicroRNAs (miRNAs) modulate diverse biological and pathological processes via post-transcriptional gene silencing. High-throughput small RNA sequencing (sRNA-seq) has been widely adopted to investigate the functions regulatory mechanisms of miRNAs. However, accurate quantification miRNAs limited owing severe ligation bias in conventional sRNA-seq methods. Here, we quantify their variants (known as isomiRs) by an improved protocol, termed AQ-seq (accurate sequencing), that utilizes adapters...
A challenge for large-scale siRNA loss-of-function studies is the biological pleiotropy resulting from multiple modes of action reagents. major confounding feature these reagents microRNA-like translational quelling short regions oligonucleotide complementarity to many different messenger RNAs. We developed a computational approach, deconvolution analysis RNAi screening data, automated quantitation off-target effects in data sets. Substantial reduction rates was experimentally validated five...
KRAS is one of the most frequently mutated oncogenes across various cancers. Oncogenic mutations rewire cellular signaling, leading to significant alterations in gene expression. RNA-binding proteins (RBPs) play a pivotal role expression regulation by post-transcriptionally controlling aspects RNA metabolism. It has become clear that interactions between RBPs and are dysregulated numerous However, how oncogenic reshape post-transcriptional regulatory network mediated remains poorly...
Abstract MicroRNAs (miRNAs) modulate diverse biological and pathological processes via post-transcriptional gene silencing. High-throughput small RNA sequencing (sRNA-seq) has been widely adopted to investigate the functions regulatory mechanisms of miRNAs. However, accurate quantification limited owing severe ligation bias in conventional sRNA-seq methods. Here we present a high-throughput protocol, termed AQ-seq (accurate by sequencing), that utilizes adapters with terminal degenerate...
SUMMARY Strand selection is a critical step in microRNA (miRNA) biogenesis. Although the dominant strand may alter depending on cellular contexts, molecular mechanism and physiological significance of such alternative (or “arm switching”) remain elusive. Here we find mir-324 as one strongly regulated miRNAs by arm switching, identify terminal uridylyl transferases TUT4 TUT7 key regulators. Uridylation pre-mir-324 TUT4/7 re-positions DICER pre-miRNA shifts cleavage site. This processing...
Abstract Purpose : This study aims to predict the progression of Diabetes Mellitus (DM) from clinical notes through machine learning based on latent Dirichlet allocation (LDA) topic modeling. Particularly, 174,427 DM patients were collected electronic medical record (EMR) system Seoul National University Hospital outpatient clinic. Method We developed a model development complications. Topics by exploited as key feature our machine-learning model. The proposed generalized correlation between...
Abstract Diversity in the genetic lesions that drive cancer initiation and progression is extreme. This diversity exists not only among tumors from different patients, but also cells within same patient. nefarious complexity is, large measure, responsible for capacity of this disease to evade current best efforts effective therapy. “Personalized medicine” has been proposed response conundrum as a mechanism tailor treatment specific tumor's epigenetic characteristics. However, selection...