Dataset of Raman spectra and MATLAB code for: Elucidating time-resolved intracellular metabolic dynamics via label-free Raman microspectroscopy and 2D correlation spectroscopy

This dataset contains raw spectral data obtained from single-cell Raman microspectroscopy under two nutritional conditions: glucose alone and glucose supplemented with glutamine. LLC-MK2 cells were starved for 2 h, then exposed to nutrients and fixed every 15 min for up to 120 min. At each time point, spectra were recorded from 25 individual cells (cytoplasm regions) and exported as machine-readable files (.csv). MATLAB scripts are provided to implement two-dimensional correlation spectroscopy (2D-COS) for generating synchronous maps, along with utilities for loading spectra, averaging, and reproducing key figures. A set of simulated time-series spectra used to validate 2D-COS under high background interference is also included with code.

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Publication Details

Journal
Arrow - TU Dublin (Technological University Dublin)
Published
2025-10-14
DOI
https://doi.org/10.21427/186a-gm75
Primary Topic
Spectroscopy Techniques in Biomedical and Chemical Research
Type
article
Field-Weighted Citation Impact
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article

Dataset of Raman spectra and MATLAB code for: Elucidating time-resolved intracellular metabolic dynamics via label-free Raman microspectroscopy and 2D correlation spectroscopy

Arrow - TU Dublin (Technological University Dublin)
Spectroscopy Techniques in Biomedical and Chemical Research
article

Dataset of Raman spectra and MATLAB code for: Elucidating time-resolved intracellular metabolic dynamics via label-free Raman microspectroscopy and 2D correlation spectroscopy

article en

Abstract

This dataset contains raw spectral data obtained from single-cell Raman microspectroscopy under two nutritional conditions: glucose alone and glucose supplemented with glutamine. LLC-MK2 cells were starved for 2 h, then exposed to nutrients and fixed every 15 min for up to 120 min. At each time point, spectra were recorded from 25 individual cells (cytoplasm regions) and exported as machine-readable files (.csv). MATLAB scripts are provided to implement two-dimensional correlation spectroscopy (2D-COS) for generating synchronous maps, along with utilities for loading spectra, averaging, and reproducing key figures. A set of simulated time-series spectra used to validate 2D-COS under high background interference is also included with code.

Arrow - TU Dublin (Technological University Dublin)
Technological University Dublin (IE)
Zero hunger
Openalex Percentile: Top 30%
Spectroscopy Techniques in Biomedical and Chemical Research
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