1.Comprehensive Transcriptome Profiling of Balding and Non-Balding Scalps in Trichorhinophalangeal Syndrome Type I Patient.
Yun Ji KIM ; Byulee YOON ; Kyudong HAN ; Byung Cheol PARK
Annals of Dermatology 2017;29(5):597-601
BACKGROUND: Trichorhinophalangeal syndrome (TRPS) patients tend to have alopecia that appears to be androgenetic, and this genetic model might give clues to the pathogenesis of hair loss or hair morphogenesis. OBJECTIVE: This study was conducted to identify additional genetic evidence of TRPS and hair morphogenesis from a TRPS patient. METHODS: From one TRPS type I patient, we extracted RNA and profiled whole transcriptome in non-balding and balding scalp areas using high-throughput RNA sequencing. RESULTS: We found a total of 26,320 genes, which comprised 14,892 known genes with new isoforms and 4,883 novel genes from the non-balding and balding areas. Among these, a total of 1,242 genes showed different expression in the two scalp areas (p<0.05 and log2 fold-change >0). Several genes related to the skin and hair, alopecia, and the TRPS1 gene were validated by qRT-PCR. Twelve of 15 genes (KRT6C, KRTAP3-1, MKI67, GPRC5D, TYRP1, DSC1, PMEL, WIF1, SOX21, TINAG, PTGDS, and TRPS1) were down-regulated (10 genes: p<0.01; SOX21 and PTGDS: p>0.05), and the three other genes (HBA2, GAL, and DES) were up-regulated (p<0.01) in the balding scalp. Many genes related to keratin and hair development were down-regulated in the balding scalp of the TRPS type I patient. In particular, the TRPS1 gene might be related to androgen metabolism and hair morphogenesis. CONCLUSION: Our result could suggest a novel perspective and evidence to support further study of TRPS and hair morphogenesis.
Alopecia
;
Gene Expression Profiling*
;
Hair
;
High-Throughput Nucleotide Sequencing
;
Humans
;
Metabolism
;
Models, Genetic
;
Morphogenesis
;
Protein Isoforms
;
RNA
;
Scalp*
;
Skin
;
Transcriptome*
2.Structural Variation of Alu Element and Human Disease.
Songmi KIM ; Chun Sung CHO ; Kyudong HAN ; Jungnam LEE
Genomics & Informatics 2016;14(3):70-77
Transposable elements are one of major sources to cause genomic instability through various mechanisms including de novo insertion, insertion-mediated genomic deletion, and recombination-associated genomic deletion. Among them is Alu element which is the most abundant element, composing ~10% of the human genome. The element emerged in the primate genome 65 million years ago and has since propagated successfully in the human and non-human primate genomes. Alu element is a non-autonomous retrotransposon and therefore retrotransposed using L1-enzyme machinery. The 'master gene' model has been generally accepted to explain Alu element amplification in primate genomes. According to the model, different subfamilies of Alu elements are created by mutations on the master gene and most Alu elements are amplified from the hyperactive master genes. Alu element is frequently involved in genomic rearrangements in the human genome due to its abundance and sequence identity between them. The genomic rearrangements caused by Alu elements could lead to genetic disorders such as hereditary disease, blood disorder, and neurological disorder. In fact, Alu elements are associated with approximately 0.1% of human genetic disorders. The first part of this review discusses mechanisms of Alu amplification and diversity among different Alu subfamilies. The second part discusses the particular role of Alu elements in generating genomic rearrangements as well as human genetic disorders.
Alu Elements*
;
DNA Transposable Elements
;
Genetic Diseases, Inborn
;
Genome
;
Genome, Human
;
Genomic Instability
;
Humans*
;
Nervous System Diseases
;
Primates
;
Recombination, Genetic
;
Retroelements
3.Phylogeny of Flavobacteria Group Isolated from Freshwater Using Multilocus Sequencing Analysis.
Seyoung MUN ; Jungnam LEE ; Siwon LEE ; Kyudong HAN ; Tae Young AHN
Genomics & Informatics 2013;11(4):272-276
Sequence analysis of the 16S rRNA gene has been widely used for the classification of microorganisms. However, we have been unable to clearly identify five Flavobacterium species isolated from a freshwater by using the gene as a single marker, because the evolutionary history is incomplete and the pace of DNA substitutions is relatively rapid in the bacteria. In this study, we tried to classify Flavobacterium species through multilocus sequence analysis (MLSA), which is a practical and reliable technique for the identification or classification of bacteria. The five Flavobacterium species isolated from freshwater and 37 other strains were classified based on six housekeeping genes: gyrB, dnaK, tuf, murG, atpA, and glyA. The genes were amplified by PCR and subjected to DNA sequencing. Based on the combined DNA sequence (4,412 bp) of the six housekeeping genes, we analyzed the phylogenetic relationship among the Flavobacterium species. The results indicated that MLSA, based on the six housekeeping genes, is a trustworthy method for the identification of closely related Flavobacterium species.
Bacteria
;
Base Sequence
;
Classification
;
DNA
;
Flavobacterium
;
Fresh Water*
;
Genes, Essential
;
Genes, rRNA
;
Multilocus Sequence Typing
;
Phylogeny*
;
Polymerase Chain Reaction
;
Sequence Analysis
;
Sequence Analysis, DNA
4.Mutational Analysis of Extranodal NK/T-Cell Lymphoma Using Targeted Sequencing with a Comprehensive Cancer Panel.
Seungkyu CHOI ; Jai Hyang GO ; Eun Kyung KIM ; Hojung LEE ; Won Mi LEE ; Chun Sung CHO ; Kyudong HAN
Genomics & Informatics 2016;14(3):78-84
Extranodal natural killer (NK)/T-cell lymphoma, nasal type (NKTCL), is a malignant disorder of cytotoxic lymphocytes of NK or T cells. It is an aggressive neoplasm with a very poor prognosis. Although extranodal NKTCL reportedly has a strong association with Epstein-Barr virus, the molecular pathogenesis of NKTCL has been unexplored. The recent technological advancements in next-generation sequencing (NGS) have made DNA sequencing cost- and time-effective, with more reliable results. Using the Ion Proton Comprehensive Cancer Panel, we sequenced 409 cancer-related genes to identify somatic mutations in five NKTCL tissue samples. The sequencing analysis detected 25 mutations in 21 genes. Among them, KMT2D, a histone modification-related gene, was the most frequently mutated gene (four of the five cases). This result was consistent with recent NGS studies that have suggested KMT2D as a novel driver gene in NKTCL. Mutations were also found in ARID1A, a chromatin remodeling gene, and TP53, which also recurred in recent NGS studies. We also found mutations in 18 novel candidate genes, with molecular functions that were potentially implicated in cancer development. We suggest that these genes may result in multiple oncogenic events and may be used as potential bio-markers of NKTCL in the future.
Chromatin Assembly and Disassembly
;
Herpesvirus 4, Human
;
High-Throughput Nucleotide Sequencing
;
Histones
;
Lymphocytes
;
Lymphoma*
;
Prognosis
;
Protons
;
Sequence Analysis, DNA
;
T-Lymphocytes
5.Transposable Elements: No More 'Junk DNA'.
Yun Ji KIM ; Jungnam LEE ; Kyudong HAN
Genomics & Informatics 2012;10(4):226-233
Since the advent of whole-genome sequencing, transposable elements (TEs), just thought to be 'junk' DNA, have been noticed because of their numerous copies in various eukaryotic genomes. Many studies about TEs have been conducted to discover their functions in their host genomes. Based on the results of those studies, it has been generally accepted that they have a function to cause genomic and genetic variations. However, their infinite functions are not fully elucidated. Through various mechanisms, including de novo TE insertions, TE insertion-mediated deletions, and recombination events, they manipulate their host genomes. In this review, we focus on Alu, L1, human endogenous retrovirus, and short interspersed element/variable number of tandem repeats/Alu (SVA) elements and discuss how they have affected primate genomes, especially the human and chimpanzee genomes, since their divergence.
Alu Elements
;
Coat Protein Complex I
;
DNA
;
DNA Transposable Elements
;
Endogenous Retroviruses
;
Genetic Variation
;
Genome
;
Humans
;
Long Interspersed Nucleotide Elements
;
Pan troglodytes
;
Primates
;
Recombination, Genetic
;
Tromethamine
6.High-accuracy quantitative principle of a new compact digital PCR equipment: Lab On An Array
Haeun LEE ; Cherl-Joon LEE ; Dong Hee KIM ; Chun-Sung CHO ; Wonseok SHIN ; Kyudong HAN
Genomics & Informatics 2021;19(3):e34-
Digital PCR (dPCR) is the third-generation PCR that enables real-time absolute quantification without reference materials. Recently, global diagnosis companies have developed new dPCR equipment. In line with the development, the Lab On An Array (LOAA) dPCR analyzer (Optolane) was launched last year. The LOAA dPCR is a semiconductor chip-based separation PCR type equipment. The LOAA dPCR includes Micro Electro Mechanical System that can be injected by partitioning the target gene into 56 to 20,000 wells. The amount of target gene per wells is digitized to 0 or 1 as the number of well gradually increases to 20,000 wells because its principle follows Poisson distribution, which allows the LOAA dPCR to perform precise absolute quantification. LOAA determined region of interest first prior to dPCR operation. To exclude invalid wells for the quantification, the LOAA dPCR has applied various filtering methods using brightness, slope, baseline, and noise filters. As the coronavirus disease 2019 has now spread around the world, needs for diagnostic equipment of point of care testing (POCT) are increasing. The LOAA dPCR is expected to be suitable for POCT diagnosis due to its compact size and high accuracy. Here, we describe the quantitative principle of the LOAA dPCR and suggest that it can be applied to various fields.
7.The nature of triple-negative breast cancer classification and antitumoral strategies
Songmi KIM ; Dong Hee KIM ; Wooseok LEE ; Yong-Moon LEE ; Song-Yi CHOI ; Kyudong HAN
Genomics & Informatics 2020;18(4):e35-
Identifying the patterns of gene expression in breast cancers is essential to understanding their pathophysiology and developing anticancer drugs. Breast cancer is a heterogeneous disease with different subtypes determined by distinct biological features. Luminal breast cancer is characterized by a relatively high expression of estrogen receptor (ER) and progesterone receptor (PR) genes, which are expressed in breast luminal cells. In ~25% of invasive breast cancers, human epidermal growth factor receptor 2 (HER2) is overexpressed; these cancers are categorized as the HER2 type. Triple-negative breast cancer (TNBC), in which the cancer cells do not express ER/PR or HER2, shows highly aggressive clinical outcomes. TNBC can be further classified into specific subtypes according to genomic mutations and cancer immunogenicity. Herein, we discuss the brief history of TNBC classification and its implications for promising treatments.
8.Quantitative evaluation of the molecular marker using droplet digital PCR
Wonseok SHIN ; Haneul KIM ; Dong-Yep OH ; Dong Hee KIM ; Kyudong HAN
Genomics & Informatics 2020;18(1):e4-
Transposable elements (TEs) constitute approximately half of Bovine genome. They can be a powerful species-specific marker without regression mutations by the structure variation (SV) at the time of genomic evolution. In a previous study, we identified the Hanwoo-specific SV that was generated by a TE–association deletion event using traditional PCR method and Sanger sequencing validation. It could be used as a molecular marker to distinguish different cattle breeds (i.e., Hanwoo vs. Holstein). However, PCR is defective with various final copy quantifications from every sample. Thus, we applied to the droplet digital PCR (ddPCR) platform for accurate quantitative detection of the Hanwoo-specific SV. Although samples have low allele frequency variation within Hanwoo population, ddPCR could perform high sensitive detection with absolute quantification. We aimed to use ddPCR for more accurate quantification than PCR. We suggest that the ddPCR platform is applicable for the quantitative evaluation of molecular markers.
9.The nature of triple-negative breast cancer classification and antitumoral strategies
Songmi KIM ; Dong Hee KIM ; Wooseok LEE ; Yong-Moon LEE ; Song-Yi CHOI ; Kyudong HAN
Genomics & Informatics 2020;18(4):e35-
Identifying the patterns of gene expression in breast cancers is essential to understanding their pathophysiology and developing anticancer drugs. Breast cancer is a heterogeneous disease with different subtypes determined by distinct biological features. Luminal breast cancer is characterized by a relatively high expression of estrogen receptor (ER) and progesterone receptor (PR) genes, which are expressed in breast luminal cells. In ~25% of invasive breast cancers, human epidermal growth factor receptor 2 (HER2) is overexpressed; these cancers are categorized as the HER2 type. Triple-negative breast cancer (TNBC), in which the cancer cells do not express ER/PR or HER2, shows highly aggressive clinical outcomes. TNBC can be further classified into specific subtypes according to genomic mutations and cancer immunogenicity. Herein, we discuss the brief history of TNBC classification and its implications for promising treatments.
10.Quantitative evaluation of the molecular marker using droplet digital PCR
Wonseok SHIN ; Haneul KIM ; Dong-Yep OH ; Dong Hee KIM ; Kyudong HAN
Genomics & Informatics 2020;18(1):e4-
Transposable elements (TEs) constitute approximately half of Bovine genome. They can be a powerful species-specific marker without regression mutations by the structure variation (SV) at the time of genomic evolution. In a previous study, we identified the Hanwoo-specific SV that was generated by a TE–association deletion event using traditional PCR method and Sanger sequencing validation. It could be used as a molecular marker to distinguish different cattle breeds (i.e., Hanwoo vs. Holstein). However, PCR is defective with various final copy quantifications from every sample. Thus, we applied to the droplet digital PCR (ddPCR) platform for accurate quantitative detection of the Hanwoo-specific SV. Although samples have low allele frequency variation within Hanwoo population, ddPCR could perform high sensitive detection with absolute quantification. We aimed to use ddPCR for more accurate quantification than PCR. We suggest that the ddPCR platform is applicable for the quantitative evaluation of molecular markers.