• 제목/요약/키워드: Genetics Informatics

검색결과 108건 처리시간 0.025초

유전자 네트워크에서 확률적 그래프 모델을 이용한 정보 네트워크 추론 (Informatics Network Representation Using Probabilistic Graphical Models of Network Genetics)

  • 나상동;박동석;윤영지
    • 한국정보통신학회논문지
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    • 제10권8호
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    • pp.1386-1392
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    • 2006
  • 유전자 생물학 분야에서 여러 각도로 세포 간 네트워크를 입증하는 고 처리 정보공학 WWW에 응용하려는 수치학적인 표현 모델 분석 연구한다. 확률적 그래프 모델을 사용하여 데이터 네트워크로부터 생물학적 통찰력을 확률적 함수적으로 응용해 복잡한 세포 간 네트워크 보다 단순한 하부모델로 구성하여 유전자 베이스네트워크 논리를 유전자 표현 레벨로 나타낸다. 유전자 데이터로부터 확률적 그래프 모델들을 분석하여 유전자 표현 데이터를 정보 공학 네트워크 모델의 방법으로 확장 추론한다.

Naltriben Analogues as Peptide Anticancer Drugs

  • Kim, Min-Woo;Shin, Choon-Shik;Yang, Hee-Jung;Kim, Seung-Hyun;Lim, Hae-Young;Lee, Chul-Hoon;Kim, Min-Kyun;Lim, Yoong-Ho
    • Journal of Microbiology and Biotechnology
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    • 제14권4호
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    • pp.881-884
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    • 2004
  • Apoptosis inducers for cancer therapy have been studied. Among hundreds of inducers, peptide anticancer drugs have many advantages such as being not harmful to humans, high selectivity, and dependence on their structures. Naltriben (NTB) is an octapeptide consisting of DPhe-Cys-Tyr-DTrp-Orn-Thr-Pen-Thr-$NH_2$. Several NTB analogues are known. In this experiment, apoptotic activities of NTB analogues with 8 amino acids were tested using flow cytometry. The conformational study of NTB was carried out using NMR spectroscopy and molecular modeling. Here, the relationships between conformations of NTB analogues and their apoptotic effects are reported.

Dissection of Cellular Communication between Human Primary Osteoblasts and Bone Marrow Mesenchymal Stem Cells in Osteoarthritis at Single-Cell Resolution

  • Ying Liu;Yan Chen;Xiao-Hua Li;Chong Cao;Hui-Xi Zhang;Cui Zhou;Yu Chen;Yun Gong;Jun-Xiao Yang;Liang Cheng;Xiang-Ding Chen;Hui Shen;Hong-Mei Xiao;Li-Jun Tan;Hong-Wen Deng
    • International Journal of Stem Cells
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    • 제16권3호
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    • pp.342-355
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    • 2023
  • Background and Objectives: Osteoblasts are derived from bone marrow mesenchymal stem cells (BMMSCs) and play important role in bone remodeling. While our previous studies have investigated the cell subtypes and heterogeneity in osteoblasts and BMMSCs separately, cell-to-cell communications between osteoblasts and BMMSCs in vivo in humans have not been characterized. The aim of this study was to investigate the cellular communication between human primary osteoblasts and bone marrow mesenchymal stem cells. Methods and Results: To investigate the cell-to-cell communications between osteoblasts and BMMSCs and identify new cell subtypes, we performed a systematic integration analysis with our single-cell RNA sequencing (scRNA-seq) transcriptomes data from BMMSCs and osteoblasts. We successfully identified a novel preosteoblasts subtype which highly expressed ATF3, CCL2, CXCL2 and IRF1. Biological functional annotations of the transcriptomes suggested that the novel preosteoblasts subtype may inhibit osteoblasts differentiation, maintain cells to a less differentiated status and recruit osteoclasts. Ligand-receptor interaction analysis showed strong interaction between mature osteoblasts and BMMSCs. Meanwhile, we found FZD1 was highly expressed in BMMSCs of osteogenic differentiation direction. WIF1 and SFRP4, which were highly expressed in mature osteoblasts were reported to inhibit osteogenic differentiation. We speculated that WIF1 and sFRP4 expressed in mature osteoblasts inhibited the binding of FZD1 to Wnt ligand in BMMSCs, thereby further inhibiting osteogenic differentiation of BMMSCs. Conclusions: Our study provided a more systematic and comprehensive understanding of the heterogeneity of osteogenic cells. At the single cell level, this study provided insights into the cell-to-cell communications between BMMSCs and osteoblasts and mature osteoblasts may mediate negative feedback regulation of osteogenesis process.

확률적 그래프 모델을 이용한 세포 간 정보 네트워크 추론 (Informatics Network Representation Between Cells Using Probabilistic Graphical Models)

  • 나상동;신현재;차월석
    • KSBB Journal
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    • 제21권4호
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    • pp.231-235
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    • 2006
  • 유전자 생물학 분야에서 적용가능 한 세포간 네트워크를 입증하는 고처리 정보공학에 응용하려는 수치학적인 표현 모델을 분석 연구한다. 확률적 그래프 모델을 사용하여 데이터 네트워크로부터 생물학적 통찰력을 확률적 함수적으로 응용해 복잡한 세포간 네트워크보다 단순한 하부모델로 구성하여 유전자 베이스네트워크 논리를 유전자 표현 레벨로 나타낸다. 유전자 데이터로부터 확률적 그래프 모델들을 분석하여 유전자 표현 데이터를 정보공학 네트워크 모델의 방법으로 확장 추론한다.

Tissue Specific Expression Levels of Apoptosis Involved Genes Have Correlations with Codon and Amino Acid Usage

  • Hajjari, Mohammadreza;Sadeghi, Iman;Salavaty, Abbas;Nasiri, Habib;Birgani, Maryam Tahmasebi
    • Genomics & Informatics
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    • 제14권4호
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    • pp.234-240
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    • 2016
  • Different mechanisms, including transcriptional and post transcriptional processes, regulate tissue specific expression of genes. In this study, we report differences in gene/protein compositional features between apoptosis involved genes selectively expressed in human tissues. We found some correlations between codon/amino acid usage and tissue specific expression level of genes. The findings can be significant for understanding the translational selection on these features. The selection may play an important role in the differentiation of human tissues and can be considered for future studies in diagnosis of some diseases such as cancer.

Expression and Purification of a Cathelicidin-Derived Antimicrobial Peptide, CRAMP

  • Park Eu-Jin;Chae Young-Kee;Lee Jee-Young;Lee Byoung-Jae;Kim Yang-Mee
    • Journal of Microbiology and Biotechnology
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    • 제16권9호
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    • pp.1429-1433
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    • 2006
  • Application of recombinant protein production and particularly their isotopic enrichment has stimulated development of a range of novel multidimensional heteronuclear NMR techniques. Peptides in most cases are amenable to assignment and structure determination without the need for isotopic labeling. However, there are many cases where the availability of $^{15}N$ and/or $^{13}C$ labeled peptides is useful to study the structure of peptides with more than 30 residues and the interaction between peptides and membrane. CRAMP (Cathelicidin-Related AntiMicrobial Peptide) was identified from a cDNA clone derived from mouse femoral marrow cells as a member of cathelicidin-derived antimicrobial peptides. CRAMP was successfully expressed as a GST-fused form in E. coli and purified using affinity chromatography and reverse-phase chromatography. The yield of the CRAMP was 1.5 mg/l 1. According to CD spectra, CRAMP adopted ${\alpha}$-helical conformation in membrane-mimetic environments. Isotope labeling of CRAMP is expected to make it possible to study the structure and dynamic properties of CRAMP in various membrane systems.

바이오 셀 정보 추출을 위한 확률 모델 (Probabilistic model for bio-cells information extraction)

  • 석경휴;박성호
    • 한국전자통신학회논문지
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    • 제6권5호
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    • pp.649-656
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    • 2011
  • 본 논문에서는 유전자 생물학 분야의 여러 각도로 세포 간 네트워크를 분석하고, 유전자 생물학 분야를 정보공학 네트워크에 응용하여 수치학적인 표현 모델로 분석 연구하고자 한다. 확률적 그래프 모델을 사용하여 데이터 네트워크로부터 생물학적 통찰력을 확률적 함수적으로 응용해, 복잡한 세포 간 네트워크 보다 단순한 하부모델로 구성하여 유전자 베이스네트워크 논리를 유전자 표현 레벨로 나타낸다. 유전자 데이터로부터 확률적 그래프 모델들을 분석하여 유전자 표현 데이터를 정보공학 네트워크 모델의 방법으로 확장 추론한다.