Neural differentiation of mouse embryonic stem cells studied by FTIR spectroscopy

Fourier transform infrared microspectroscopy reveals unique phenotypes for human embryonic and induced pluripotent stem cell lines and their progeny

“…They discovered that the inhibition of the eicosanoid signaling pathway of murine embryonic stem cells fostered pluripotency when the cells underwent neural differentiation. However, other groups have also observed either higher lipid levels in more differentiated stem cells [37] or non significant lipid differences [12] between their undifferentiated and their progeny which suggests that this may be a cell-type specific phenomenon.…”

Multivariate Analysis for Fourier Transform Infrared Spectra of Complex Biological Systems and Processes

“…In the case of complex biological systems it provides simultaneously, in a single measurement, information on the main biomolecules, such as lipids, proteins, nucleic acids, and carbohydrates, requiring also a very limited amount of sample. For these reasons, it became recently a very attracting tool for biomedical research [20,[22][23][24], being successfully employed for the study of several biological systems, from intact cells [6,7,25] to tissues [11,26,27] and whole model organisms (i.e. the nematode Caenorhabditis elegans) [9,28].…”

“…For example, Tanthanuch and colleagues applied FTIR microspectroscopy-supported by PCA and unsupervised hierarchical cluster analysis (UHCA) to identify specific spectral markers of the differentiation of murine embryonic stem cell (mESCs) and to distinguish them into different neural cell types [25]. In particular, focal plane array (FPA) -FTIR and SR-FTIR microspectroscopy measurements -performed on cell clumps and single cells respectively -allowed to obtain a biochemical fingerprint of different mESC developmental stages, namely embryoid bodies (EBs), neural progenitor cells (NPCs) and embryonic stemderived neural cells (ESNCs).…”

RMieS‐EMSC correction for infrared spectra of biological cells: Extension using full Mie theory and GPU computing

“…Despite the well known problem of scattering artefacts in spectra of biological cells, in the absence of a scattering correction algorithm a simple "baseline correction" has often been employed using the socalled "rubber band" method [26,27]. Figure 7(a) shows one of the raw spectra from the data set in Figure 3 and is very typical of a single cell spectrum exhibiting the classic sloping baseline between the C-H stretching region and the Amide I band.…”