Literature DB >> 23458184

Nucleolar molecular signature of pluripotent stem cells.

Artem Pliss1, Andrey N Kuzmin, Aliaksandr V Kachynski, Houbo Jiang, Zhixing Hu, Yong Ren, Jian Feng, Paras N Prasad.   

Abstract

Induced pluripotent stem cells (iPSC) are generated by reprogramming somatic cells to the pluripotent state. Identification and quantitative characterization of changes in the molecular organization of the cell during the process of cellular reprogramming is valuable for stem cell research and advancement of its therapeutic applications. Here we employ quantitative Raman microspectroscopy and biomolecular component analysis (BCA) for a comparative analysis of the molecular composition of nucleoli in skin fibroblasts and iPSC derived from them. We report that the cultured fibroblasts obtained from different human subjects, share comparable concentrations of proteins, RNA, DNA, and lipids in the molecular composition of nucleoli. The nucleolar molecular environment is drastically changed in the corresponding iPSC. We measured that the transition from skin fibroblasts to iPSC is accompanied by a statistically significant increase in protein concentrations ~1.3-fold, RNA concentrations ~1.3-fold, and DNA concentrations ~1.4-fold, while no statistically significant difference was found for the lipid concentrations. The analysis of molecular vibrations associated with diverse aminoacids and protein conformations indicates that nucleoli of skin fibroblasts contain similar subsets of proteins, with prevalence of tyrosine. In iPSC, we observed a higher signal from tryptophan with an increase in the random coil and α helix protein conformations, indicating changes in the subset of nucleolar proteins during cell reprogramming. At the same time, the concentrations of major types of macromolecules and protein conformations in the nucleoli of iPSC and human embryonic stem cells (hESC) were found to be similar. We discuss these results in the context of nucleolar function and conclude that the nucleolar molecular content is correlated with the cellular differentiation status. The approach described here shows the potential for spectroscopically monitoring changes in macromolecular organization of the cell at different stages of reprogramming.

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Year:  2013        PMID: 23458184     DOI: 10.1021/ac303806j

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  7 in total

1.  Raman spectral dynamics of single cells in the early stages of growth factor stimulation.

Authors:  Sota Takanezawa; Shin-ichi Morita; Yukihiro Ozaki; Yasushi Sako
Journal:  Biophys J       Date:  2015-05-05       Impact factor: 4.033

Review 2.  Secondary ion mass spectrometry and Raman spectroscopy for tissue engineering applications.

Authors:  Yelena Ilin; Mary L Kraft
Journal:  Curr Opin Biotechnol       Date:  2014-11-11       Impact factor: 9.740

3.  A Single-Organelle Optical Omics Platform for Cell Science and Biomarker Discovery.

Authors:  Artem Pliss; Andrey N Kuzmin; Adrian Lita; Rahul Kumar; Orieta Celiku; G Ekin Atilla-Gokcumen; Omer Gokcumen; Dhyan Chandra; Mioara Larion; Paras N Prasad
Journal:  Anal Chem       Date:  2021-05-28       Impact factor: 8.008

4.  Single Cell Assay for Molecular Diagnostics and Medicine: Monitoring Intracellular Concentrations of Macromolecules by Two-photon Fluorescence Lifetime Imaging.

Authors:  Artem Pliss; Xiao Peng; Lixin Liu; Andrey Kuzmin; Yan Wang; Junle Qu; Yuee Li; Paras N Prasad
Journal:  Theranostics       Date:  2015-05-15       Impact factor: 11.556

5.  Transformations of the macromolecular landscape at mitochondria during DNA-damage-induced apoptotic cell death.

Authors:  N Yadav; A Pliss; A Kuzmin; P Rapali; L Sun; P Prasad; D Chandra
Journal:  Cell Death Dis       Date:  2014-10-09       Impact factor: 8.469

Review 6.  Ramanomics: New Omics Disciplines Using Micro Raman Spectrometry with Biomolecular Component Analysis for Molecular Profiling of Biological Structures.

Authors:  Andrey N Kuzmin; Artem Pliss; Paras N Prasad
Journal:  Biosensors (Basel)       Date:  2017-11-15

7.  Molecular profiling of single organelles for quantitative analysis of cellular heterogeneity.

Authors:  Andrey N Kuzmin; Svitlana M Levchenko; Artem Pliss; Junle Qu; Paras N Prasad
Journal:  Sci Rep       Date:  2017-07-26       Impact factor: 4.379

  7 in total

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