1.Gene expression of surfactant-associated proteins.
Tuberculosis and Respiratory Diseases 1991;38(3):228-235
No abstract available.
Gene Expression*
2.MDRI gene expression in gastric and colorectal cancer tissues.
Han Kwang YANG ; Jae Gahb PARK ; Jin Pok KIM ; Lori GOLDSTEIN
Journal of the Korean Cancer Association 1991;23(1):54-64
No abstract available.
Colorectal Neoplasms*
;
Gene Expression*
3.Regulation of Proenkephalin Gene Expression in Glial Cells.
Journal of Korean Society of Endocrinology 2000;15(6):750-759
No Abstract Available.
Gene Expression*
;
Neuroglia*
4.Response: Regulating Hypothalamus Gene Expression in Food Intake: Dietary Composition or Calorie Density? (Diabetes Metab J 2017;41:121-7).
Mi JANG ; So Young PARK ; Yong Woon KIM ; Seung Pil JUNG ; Jong Yeon KIM
Diabetes & Metabolism Journal 2017;41(3):225-227
No abstract available.
Eating*
;
Gene Expression*
;
Hypothalamus*
6.In vivo characterization of virulence associated gene expression: II. plasmid-encoded aerobactin production and transferableantimicrobial resistance in E. coli.
Sang Hwa LEE ; Yoo Chul LEE ; Sung Yong SEOL ; Dong Taek CHO
Journal of the Korean Society for Microbiology 1991;26(5):463-477
No abstract available.
Gene Expression*
;
Virulence*
7.Finding Interesting Genes Using Reliability in Various Gene Expression Models.
Eun Kyung LEE ; Dianne COOK ; Heike HOFFMAN
Genomics & Informatics 2011;9(1):28-36
Most statistical methods for finding interesting genes are focusing on the summary values with large fold-changes or large variations. Very few methods consider the probe level data. We developed a new measure to detect reliability that incorporates the probe level data. This reliability measure is useful for exploring the microarray data without ignoring the probe level data. It is easy to calculate, and it can be used for all the other statistical methods as a good guideline to find real differentially expressed genes. Instead of filtering out genes before the analysis, we use whole genes in the analysis and make decisions with new reliability measures.
Gene Expression
;
Quality Control
8.TGFbeta1 Effect on Survival of Anticancer Drug - resistant L1210 Sublines.
Sung Yong KIM ; Kyung Sub LEE ; Jae Ryong KIM ; Jeong Hee KIM
Journal of the Korean Cancer Association 1998;30(5):1005-1013
PURPOSE: The inhibitory effect of TGFbeta1 on survivals of L1210 and anticancer drug- resistant L1210 sublines was investigated and the gene expression of TGFbeta1 in these cells was examined. MATERIALS AND METHODS: The survivals of L1210, adriamycin-resistant(L1210AdR), vincristine-resistant(L1210VcR) or cisplatin-resistant(L1210Cis) cells were measured by MTT assay after treatment of TGFbeta1. Northern analysis was performed for TGFbeta1 gene expression in L1210, L1210AdR, L1210VcR or L1210Cis. RESULTS: There was no different survival ratio between two groups, control and TGFbeta1(10 ng/ml) treated groups in L1210 cells. However, the survival ratio of L1210AdR was 59% in TGFbeta1 treated group for 96 hours. The survival ratio of L1210VcR was 61% for 96 hours in TGFbeta1 treated group. The survival ratio of L1210Cis was 40% for 96 hours in TGFbeta1 treated group. Expressions of TGFbeta1 gene in drug-resistant sublines were significantly decreased than that of L1210 cells. CONCLUSION: Growth of anticancer drug-resistant L1210 sublines were inhibited by TGFbeta1 but not in L1210 cells. So, it is suggested that TGFbeta1 gene expression may have a part in anticancer drug-resistance.
Control Groups
;
Gene Expression
9.Regulation of Gene Expression in Oocyte Growth and Maturation.
Journal of Korean Society of Endocrinology 2006;21(1):11-13
No abstract available.
Gene Expression Regulation*
;
Oocytes*
10.Technological advances of serial analysis of gene expression.
Chinese Journal of Biotechnology 2002;18(3):377-380
Serial analysis of gene expression (SAGE) is an effective method of determining gene expression profiles of tissues and organs under different conditions. In this paper, the detail protocol of SAGE was introduced and some modified procedure of SAGE was reviewed.
Gene Expression Profiling
;
methods
Result Analysis
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