Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

497
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

256
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

NETWORK ANALYSIS OF TRANSCRIPTION FACTORS FOR NUCLEAR REPROGRAMMING INTO INDUCED PLURIPOTENT STEM CELL USING BIOINFORMATICS

Pages

  332-339

Abstract

 Objective: Research related to induce pluripotent stem (iPS) cell generation has increased rapidly in recent years. Six TRANSCRIPTION FACTORS, namely OCT4, SOX2, C-MYC, KLF4, NANOG, and LIN28 have been widely used for iPS cell generation. As there is a lack of data on intra- and inter-networking among these six different TRANSCRIPTION FACTORS, the objective of this study is to analyze the intra- and inter-networks between them using bioinformatics.Materials and Methods: In this COMPUTATIONAL BIOLOGY study, we used AminoNet, MATLAB to examine networking between the six different TRANSCRIPTION FACTORS. The directed network was constructed using MATLAB programming and the distance between nodes was estimated using a phylogram. The protein-protein interactions between the NUCLEAR REPROGRAMMING factors was performed using the software STRING.Results: The relationship between C-MYC and NANOG was depicted using a phylogenetic tree and the sequence analysis showed OCT4, C-MYC, NANOG, and SOX2 together share a common evolutionary origin.Conclusion: This study has shown an innovative rapid method for the analysis of intra and inter-networking among NUCLEAR REPROGRAMMING factors. Data presented may aid researchers to understand the complex regulatory networks involving iPS cell generation.

Cites

  • No record.

    • References

    Cite

    APA: Copy

    CHAKRABORTY, CHIRANJIB, ROY, SANJIBAN S., TECH, M., HSU, MINNA J., & AGORAMOORTHY, GOVINDASAMY. (2014). NETWORK ANALYSIS OF TRANSCRIPTION FACTORS FOR NUCLEAR REPROGRAMMING INTO INDUCED PLURIPOTENT STEM CELL USING BIOINFORMATICS. CELL JOURNAL (YAKHTEH), 15(4 (60)), 332-339. SID. https://sid.ir/paper/601936/en

    Vancouver: Copy

    CHAKRABORTY CHIRANJIB, ROY SANJIBAN S., TECH M., HSU MINNA J., AGORAMOORTHY GOVINDASAMY. NETWORK ANALYSIS OF TRANSCRIPTION FACTORS FOR NUCLEAR REPROGRAMMING INTO INDUCED PLURIPOTENT STEM CELL USING BIOINFORMATICS. CELL JOURNAL (YAKHTEH)[Internet]. 2014;15(4 (60)):332-339. Available from: https://sid.ir/paper/601936/en

    IEEE: Copy

    CHIRANJIB CHAKRABORTY, SANJIBAN S. ROY, M. TECH, MINNA J. HSU, and GOVINDASAMY AGORAMOORTHY, “NETWORK ANALYSIS OF TRANSCRIPTION FACTORS FOR NUCLEAR REPROGRAMMING INTO INDUCED PLURIPOTENT STEM CELL USING BIOINFORMATICS,” CELL JOURNAL (YAKHTEH), vol. 15, no. 4 (60), pp. 332–339, 2014, [Online]. Available: https://sid.ir/paper/601936/en

    Related Journal Papers

  • No record.

    • Related Seminar Papers

  • No record.

    • Related Plans

  • No record.

    • Recommended Workshops






    Move to top