Publications by authors named "Takayuki Haruki"
Article Synopsis
- - The study aimed to identify key transition points in neuronal development using Raman spectroscopy and dynamic network biomarker (DNB) analysis, with a focus on a post-mitotic state.
- - An in vitro model of neuronal development was previously created from rat hippocampal neurons and analyzed through principal component analysis (PCA) using Raman spectral data collected over 120 days.
- - The DNB analysis revealed that lactate (at a Raman band of 1048 cm) plays a significant role as an energy source influencing neuronal maturation, while PCA helped establish a control group for this analysis.
Considering the fundamental mechanism causing singularity phenomena, we performed the following abduction: Assuming that a multicellular system is driven by spontaneous fluctuation of each cell and dynamic interaction of the cells, state transition of the system would be experimentally predictable from cellular heterogeneity. This study evaluates the abductive hypothesis by analyzing cellular heterogeneity to distinguish pre-state of state transition of differentiating cells with Raman spectroscopy and human induced pluripotent stem cells (hiPSCs) technique. Herein, we investigated the time development of cellular heterogeneity in Raman spectra during cardiomyogenesis of six hiPSC lines and tested two types of analyses for heterogeneity.
View Article and Find Full Text PDFMultiple myeloma (MM) is a cancer of plasma cells. Normal (NL) cells are considered to pass through a precancerous state, such as monoclonal gammopathy of undetermined significance (MGUS), before transitioning to MM. In the present study, we acquired Raman spectra at three stages-834 NL, 711 MGUS, and 970 MM spectra-and applied the dynamical network biomarker (DNB) theory to these spectra.
View Article and Find Full Text PDFArticle Synopsis
- Raman spectroscopy provides non-destructive, real-time analysis of living cells and tissues by measuring scattered light, offering insights into their molecular structure and composition.
- The technique produces a "molecular fingerprint" that helps link specific cellular and tissue compositions to various disease states, aiding in the early detection of diseases.
- By identifying predisease conditions—when a healthy state shifts toward disease—Raman spectroscopy could play a vital role in preventing disease onset through insights into biological processes and molecular dynamics.
The dynamical network biomarker (DNB) theory detects the early warning signals of state transitions utilizing fluctuations in and correlations between variables in complex systems. Although the DNB theory has been applied to gene expression in several diseases, destructive testing by microarrays is a critical issue. Therefore, other biological information obtained by non-destructive testing is desirable; one such piece of information is Raman spectra measured by Raman spectroscopy.
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