• 제목/요약/키워드: Gene Identification

검색결과 1,713건 처리시간 0.073초

Identification of Differentially Expressed Genes in the Dicer 1 Knock-down Mouse Embryos using Microarray

  • Lee, Jae-Dal;Cui, Xiang-Shun
    • Reproductive and Developmental Biology
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    • 제32권4호
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    • pp.229-235
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    • 2008
  • Silencing of Dicer1 by siRNA did not inhibit development up to the blastocyst stage, but decreased expression of selected transcription factors, including Oct-4, Sox2 and Nanog, suggesting that Dicer1 gene expression is associated with differentiation processes at the blastocyst stage (Cui et al., 2007). In order to get insights into genes which may be linked with microRNA system, we compared gene expression profiles in Gapdh and Dicer1 siRNA-microinjected blastocysts using the Applied Biosystem microarray technology. Our data showed that 397 and 737 out of 16354 genes were up- and down-regulated, respectively, following siRNA microinjection (p<0.05), including 24 up- and 28 down-regulated transcription factors. Identification of genes that are preferentially expressed at particular Dicer1 knock down embryos provides insights into the complex gene regulatory networks that drive differentiation processes in embryos at blastocyst stage.

Diversity of Leuconostocs on Garlic Surface, an Extreme Environment

  • KIM, MYUNG HEE;SUN TAEK SHIM;YOUN SOON KIM;KYU HANG KYUNG
    • Journal of Microbiology and Biotechnology
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    • 제12권3호
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    • pp.497-502
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    • 2002
  • Thirty-nine strains of Leuconostocs found to be tolerant to $10\%$ or more garlic were selected for further identification, by comparing their whole-cell protein pattern, 16S rRNA gene (first 530 bases) sequence, cellular fatty acid composition, and carbon source metabolism. Two isolates were Identified as Leuconostoc mesenteroides and 32 others as Leuconostoc citreum. Five other strains belonging to a cluster could not be allocated to the existing species. 16S rRNA gene sequence and cellular fatty acid composition of the unidentified bacteria exhibited close similarity with Leuconostoc argentinum. The unidentified isolates were not allocated to L. argentinum, because they formed polysaccharide from sucrose, while L. argentinum strains do not. Leuconostocs tolerant to high concentration of garlic were found predominantly on garlic surface, an extreme environment which is unfit for most of other microorganisms.

Application of Cytochrome b Gene Sequences for Identification of Parrots from Korean Zoos

  • Kim, Jung-il;Do, Thinh Dinh;Lee, Duri;Yeo, Yonggu;Kim, Chang-Bae
    • Animal Systematics, Evolution and Diversity
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    • 제36권3호
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    • pp.216-221
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    • 2020
  • Parrots are common targets for illegal trade because of their beauty and high price. Accurate identification is necessary for the prevention of illegal trade and conservation of parrots. In the present study, mitochondrial markers of cytochrome b (CYTB) gene were used to identify parrot species from Korean zoos. Totally, 27 samples were collected from Seoul Zoo, Cheongju Zoo, and Uchi Zoo. After collection, total DNA of samples was extracted and used for PCR amplification. CYTB fragments were sequenced from all samples examined. The obtained sequences were used for GenBank blast, distance estimation, and phylogenetic analysis. All species were identified using CYTB sequences that determined 27 samples belong to 13 species in 7 genera, and 3 families. Our finding demonstrated the usefulness of CYTB sequences for identifying parrot species in Korean zoos.

Ensemble Gene Selection Method Based on Multiple Tree Models

  • Mingzhu Lou
    • Journal of Information Processing Systems
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    • 제19권5호
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    • pp.652-662
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    • 2023
  • Identifying highly discriminating genes is a critical step in tumor recognition tasks based on microarray gene expression profile data and machine learning. Gene selection based on tree models has been the subject of several studies. However, these methods are based on a single-tree model, often not robust to ultra-highdimensional microarray datasets, resulting in the loss of useful information and unsatisfactory classification accuracy. Motivated by the limitations of single-tree-based gene selection, in this study, ensemble gene selection methods based on multiple-tree models were studied to improve the classification performance of tumor identification. Specifically, we selected the three most representative tree models: ID3, random forest, and gradient boosting decision tree. Each tree model selects top-n genes from the microarray dataset based on its intrinsic mechanism. Subsequently, three ensemble gene selection methods were investigated, namely multipletree model intersection, multiple-tree module union, and multiple-tree module cross-union, were investigated. Experimental results on five benchmark public microarray gene expression datasets proved that the multiple tree module union is significantly superior to gene selection based on a single tree model and other competitive gene selection methods in classification accuracy.

Computational Approaches to Gene Prediction

  • Do Jin-Hwan;Choi Dong-Kug
    • Journal of Microbiology
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    • 제44권2호
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    • pp.137-144
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    • 2006
  • The problems associated with gene identification and the prediction of gene structure in DNA sequences have been the focus of increased attention over the past few years with the recent acquisition by large-scale sequencing projects of an immense amount of genome data. A variety of prediction programs have been developed in order to address these problems. This paper presents a review of the computational approaches and gene-finders used commonly for gene prediction in eukaryotic genomes. Two approaches, in general, have been adopted for this purpose: similarity-based and ab initio techniques. The information gleaned from these methods is then combined via a variety of algorithms, including Dynamic Programming (DP) or the Hidden Markov Model (HMM), and then used for gene prediction from the genomic sequences.

모색 발현 유전자의 DNA Marker를 이용한 쇠고기 품종 판별 (Identification of Beef Breed using DNA Marker of Coat Color Genes)

  • 정의룡;정구용
    • 한국축산식품학회지
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    • 제24권4호
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    • pp.355-360
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    • 2004
  • 본 연구는 축우의 모색발현에 관여하는 MC1R, MGF 및 TYRP1 3종류의 모색 유전자의 PCR-RFLP marker를 이용하여 쇠고기 품종 판별기술을 개발하고자 수행하였다. MC1R 유전자의 104번째 아미노산을 지정하는 codon에 GGT 염기를 갖고 있는 Holstein 젖소와 Angus 육우는 제한효소 인지부위가 존재하여 537 bp증폭산물이 절단되어 329와 208bp 두개의 band가 검출되었으나 한우에서는 GTG로 G 염기가 T염기로 치환됨으로써 제한효소 인식부위가 소실되어 537 bp의 단일 bind 만이 검출되었다. 따라서, 이처럼 MC1R 모색유전자의 품종 간 특정 염기서열의 차이가 곧 특정 제한효소의 염기 서열상의 인지 부위 차이를 가져와 한우와 Holstein 젖소 및 Angus 육우 품종간의 RFLP 유전자형 출현에 확실한 차이가 인정되어 한우 품종에 특이적인 MC1R 유전자의 RFLP marker를 이용한 한우육 판별이 가능하였다. 또한, MGF 유전자의 RFLP 유전자형 출현빈도에서 한우는 r/r형이 75%로 출현율이 매우 높은 유전자형으로 분석된 반면 Hereford종은 R/R 형이 80%로 출현율이 매우 높았고 Holstein종과 Angus종은 R/r형이 100% 출현함으로써 한우와 Holstein 및 수입육우 품종간의 MGF 유전자형 출현빈도에 뚜렷한 차이가 인정되었다. 한편, TYRP1 유전자의 RFLP유전자형을 분석한 결과 모든 품종에서 동일한 RFLP type이 검출되어 TYRP1 모색 유전자를 이용한 쇠고기 품종 구별은 불가능한 것으로 나타났다. 따라서, 소 모색 관련 MC1R과 MGF 두 유전자의 품종 특이적 PCR-RFLP 유전자형은 한우육과 국내산 Holstein젖소고기 및 Angus 수입육간의 품종을 식별하는데 매우 유용한 DNA marker로 이용될 수 있음이 확인되었다.

Identification of Toxicant-Specific Patterns of Gene Expressi on and Evaluation of Molecular Mechanisms in Cellular Responses to Environmental Toxicants Using by Radioactive cDNA Microarray - As an example of gene expression profiling in workers exposed to polycyclic aromatic hydrocarbons or 2,3,7,8-tetrachlorodedibenzo-p-dioxins using by micro array -

  • Kim, Meyoung Kon
    • 한국유전체학회:학술대회논문집
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    • 한국유전체학회 2005년도 The 14th Korea Genome Conference
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    • pp.65-65
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    • 2005
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