Advantages
- Master transcription factors of various cells can be identified and analyzed.
- Rare cells of biological origin can also be used.
Technology Overview & Background
Transcription factors that are essential for cell function and differentiation are called master transcription factors and are important factors that determine cell properties and are considered essential for the analysis of expression and function. This researcher has been conducting research on the differentiation and function of immune cells and has developed a platform technology to predictively identify master transcription factors in various cells.
This technology is applicable to even rare cells in vivo, and since it is possible to identify master transcription factors in disease-related cells using this technology, it is expected to lead to the development of new treatments for intractable diseases by actually controlling their expression and function based on the analysis results.
Data
Analysis Example 1: Comprehensive gene expression data and enhancer analysis identified KLF4 as a master transcription factor required for monocyte differentiation.
Analysis Example 2: NGS analysis of immune cells isolated from human pancreatic cancer patients and mouse models of pancreatic cancer was performed, and common master transcription factor candidates were predicted by bioinformatics analysis using human and mouse data. Then, knockout mice of the master transcription factor candidates were actually generated, and when cancer was planted in these mice, the progression of pancreatic cancer was significantly suppressed.
Analysis Example 3: When siRNA was loaded and administered into lipid nanoparticles targeting IRF5, a master transcription factor important for macrophage activation, and IRF5 was knocked down in mice, inflammatory diseases were suppressed.
Publication(s)
Please refer to the laboratory website:
https://kurotakilabircms.wixsite.com/macrophage/publication
Principal Investigator & Academic Institution
Daisuke Kurotaki, PhD (Associate Professor, IRCMS, Kumamoto University)
Suggestion for Next Steps
- It is possible to jointly identify and analyze the master transcription factors of the cells you wish to explore.
- Please contact us if you have any questions about next generation sequencing analysis, as we handle a variety of next generation sequencing analysis such as RNA-seq, ATAC-seq, CUT&Tag, ChIP-seq, Hi-C, etc.
Expectations
TECH MANAGE is searching for companies interested in this technology on behalf of Kumamoto University. If interested, we can arrange an online meeting with this researcher for technical consultation and to explore master transcription factors together.
Project No.JT-05044