1.Quantitative measurement of surfactant protein B mRNA by filter hybridization.
Sung Soo PARK ; Dong Hoo LEE ; Dong Ho SHIN ; Jung Hee LEE
Tuberculosis and Respiratory Diseases 1992;39(3):242-247
No abstract available.
RNA, Messenger*
2.Expression of c-erb A mRNA according to thyroid function status.
Young Sil JU ; Jeong Taek WOO ; Sung Woon KIM ; In Myung YANG ; Jin Woo KIM ; Young Seol KIM ; Kwang Won KIM ; Young Kil CHOI ; Sang Mi PARK
Journal of Korean Society of Endocrinology 1992;7(1):24-30
No abstract available.
RNA, Messenger*
;
Thyroid Gland*
3.Induction of IL-lα mRNA Expression by 17β-Estradiol in Normal Human Keratinocytes.
Chuluundorj DELGERTSETSEG ; Seok Beom HONG ; Young Il KIM ; Nack In KIM
Annals of Dermatology 2004;16(4):163-168
No abstract available.
Humans*
;
Keratinocytes*
;
RNA, Messenger*
4.HisCoM-mimi: software for hierarchical structural component analysis for miRNA-mRNA integration model for binary phenotypes
Genomics & Informatics 2019;17(1):e10-
To identify miRNA-mRNA interaction pairs associated with binary phenotypes, we propose a hierarchical structural component model for miRNA-mRNA integration (HisCoM-mimi). Information on known mRNA targets provided by TargetScan is used to perform HisCoM-mimi. However, multiple databases can be used to find miRNA-mRNA signatures with known biological information through different algorithms. To take these additional databases into account, we present our advanced application software for HisCoM-mimi for binary phenotypes. The proposed HisCoM-mimi supports both TargetScan and miRTarBase, which provides manually-verified information initially gathered by text-mining the literature. By integrating information from miRTarBase into HisCoM-mimi, a broad range of target information derived from the research literature can be analyzed. Another improvement of the new HisCoM-mimi approach is the inclusion of updated algorithms to provide the lasso and elastic-net penalties for users who want to fit a model with a smaller number of selected miRNAs and mRNAs. We expect that our HisCoM-mimi software will make advanced methods accessible to researchers who want to identify miRNA-mRNA interaction pairs related with binary phenotypes.
MicroRNAs
;
Phenotype
;
RNA, Messenger
5.Supergenes:Generalists in Gene Expression.
Tao LIU ; Shu Sen WANG ; Lei YANG ; Qiao SHI ; Zhong Yang SHEN
Acta Academiae Medicinae Sinicae 2021;43(2):265-270
In eukaryote cells,transcription from genome DNA is a key process of gene expression.The transcription products contain not only messenger RNAs that code proteins,but also various types of non-coding RNAs.During transcription,some of the gene loci produce more than one kind of RNA molecule,including coding RNAs and more often non-coding RNAs.These gene loci that generate several kinds of RNA molecules are named supergenes.According to the transcription pattern,supergenes are divided into three types,known as types Ⅰ,Ⅱ and Ⅲ.In this review,we summarize the transcription pattern of each type of supergene,and exposit the role of these genes in cells.
Gene Expression
;
RNA, Messenger
6.The S-genomic RNA of Hantaan virus contains only two trinucleotide repeats at its 5' end and the 3' end of 3'-specific mRNA is truncated and lacks poly-A tail.
Michael DOBBS ; Mi Rim JIN ; C Yong KANG
Experimental & Molecular Medicine 1997;29(1):81-83
No abstract available.
Hantaan virus*
;
RNA*
;
RNA, Messenger*
;
Trinucleotide Repeats*
7.Expression of S100 protein ?subunit mRNA in brain of mouse infected with unconventional slow virus.
Eun Kyoung CHOI ; Yong Sun KIM ; Hyung Mo YANG ; Jin KIM ; Il Je YU ; Marshak CARP
Journal of the Korean Society of Virology 1993;23(2):105-112
No abstract available.
Animals
;
Brain*
;
Mice*
;
RNA, Messenger*
8.Genome-Wide Identification and Classification of MicroRNAs Derived from Repetitive Elements.
Jeong An GIM ; Hong Seok HA ; Kung AHN ; Dae Soo KIM ; Heui Soo KIM
Genomics & Informatics 2014;12(4):261-267
MicroRNAs (miRNAs) are known for their role in mRNA silencing via interference pathways. Repetitive elements (REs) share several characteristics with endogenous precursor miRNAs. In this study, 406 previously identified and 1,494 novel RE-derived miRNAs were sorted from the GENCODE v.19 database using the RepeatMasker program. They were divided into six major types, based on their genomic structure. More novel RE-derived miRNAs were confirmed than identified as RE-derived miRNAs. In conclusion, many miRNAs have not yet been identified, most of which are derived from REs.
Classification*
;
Interspersed Repetitive Sequences
;
MicroRNAs*
;
RNA, Messenger
9.Differential analyses of mRNA expression of gtfs from Streptococcus mutans in different pH condition.
Yu LU ; Tian-jia LIU ; Jin-bo YANG
West China Journal of Stomatology 2008;26(6):667-669
OBJECTIVETo determine the expression level of each gtf under different pH cultural conditions and to find the relationship between gtf expression levels with environmental pH in different strains of Streptococcus mutans (S.mutans).
METHODSS. mutans form clinical isolation with different extracellular polysaccharides (EPS) producibility and UA159 were selected. Their ability to produce EPS under pH5.5 and pH7 were tested. Then in two strains, the relative quantity of gtfA, gtfB, gtfC, gtfD's mRNA which were related to S. mutan's ability to produce EPC, were examined by real-time reverse transcription-polymerase chain reaction (real-time RT-PCR) methods under different pH culture condition.
RESULTSAt pH5.5, expression levels of gtfA, gtfB, gtfD were increased while that of gtfC were decreased in both strains, and that of gtfB, gtfC were higher in strain which produces more ECP.
CONCLUSIONThe expression levels of gtfs related closely to the cariogenicity of S. mutan.
Glucosyltransferases ; Humans ; RNA, Messenger ; Streptococcus mutans
10.A novel biomarker of exercise-induced stress in horses.
Seungwoo LEE ; Dayoung OH ; Myung Chul KIM ; Yongbaek KIM ; Doug Young RYU
Korean Journal of Veterinary Research 2015;55(4):247-252
Exercise is one of the most common stressors in horses. Although various physiological parameters such as cortisol respond to exercise, there is no reliable parameter for the measurement of exercise-induced stress in sport horses. This study was performed to discover a new biomarker with high sensitivity for exercise-induced stress. The expression of fos mRNA was increased more than 10-fold in horse blood samples collected after an hour of exercise, as compared with before the exercise. The plasma cortisol levels were also increased after the exercise, but only by about two-fold. The fos mRNA levels were well-correlated with plasma cortisol concentrations. These findings suggest that fos mRNA expression in blood may be useful for the measurement of exercise-induced stress in horses.
Horses*
;
Hydrocortisone
;
Plasma
;
RNA, Messenger
;
Sports