Data associated with "Quantifying Biochemical Alterations in Brown and Subcutaneous White Adipose Tissues of Mice Using Fourier Transform Infrared Widefield Imaging"

Authors

Ebrahim Aboualizadeh, University of Wisconsin-MilwaukeeFollow
Owen T. Carmichael, Pennington Biomedical Research Center
Diana C. Albarado, Pennington Biomedical Research Center
Christopher D. Morrison, Pennington Biomedical Research Center
Carol J. Hirschmugl, University of Wisconsin-MilwaukeeFollow
Ping He, Pennington Biomedical Research Center

Files

Description

This data folder is associated with the following publication in the Journal of Frontiers in Endocrinology, obesity section:

Quantifying Biochemical Alterations in Brown and Subcutaneous White Adipose Tissues of Mice Using Fourier Transform Infrared Widefield Imaging

The paper has been published by E. Aboualizadeh, et al. in May 2017. You can access the paper via the following link:

https://doi.org/10.3389/fendo.2017.00121

When using the data, please cite the publication. Here is the abstract of the publication:

“Stimulating increased thermogenic activity in adipose tissue is an important biological target for obesity treatment, and label-free imaging techniques with the potential to quantify stimulation-associated biochemical changes to the adipose tissue are highly sought after. In this study, we used spatially resolved Fourier transform infrared (FTIR) imaging to quantify biochemical changes caused by cold exposure in the brown and subcutaneous white adipose tissues (BAT and s-WAT) of 6 week-old C57BL6 mice exposed to 30°C (N = 5), 24°C (N = 5), and 10°C (N = 5) conditions for 10 days. Fat exposed to colder temperatures demonstrated greater thermogenic activity as indicated by increased messenger RNA expression levels of a panel of thermogenic marker genes including uncoupling protein 1 (UCP-1) and Dio2. Protein to lipid ratio, calculated from the ratio of the integrated area from 1,600 to 1,700 cm⁻¹ (amide I) to the integrated area from 2,830 to 2,980 cm⁻¹ (saturated lipids), was elevated in 10°C BAT and s-WAT compared to 24°C (p = 0.004 and p < 0.0001) and 30°C (p = 0.0033 and p < 0.0001). Greater protein to lipid ratio was associated with greater UCP-1 expression level in the BAT (p = 0.021) and s-WAT (p = 0.032) and greater Dio2 expression in s-WAT (p = 0.033). The degree of unsaturation, calculated from the ratio of the integrated area from 2,992 to 3,020 cm⁻¹ (unsaturated lipids) to the integrated area from 2,830 to 2,980 cm−1 (saturated lipids), showed stepwise decreases going from colder-exposed to warmer-exposed BAT. Complementary ¹H NMR measurements confirmed the findings from this ratio in BAT. Principal component analysis applied to FTIR spectra revealed pronounced differences in overall spectral characteristics between 30, 24, and 10°C BAT and s-WAT. Spatially resolved FTIR imaging is a promising technique to quantify cold-induced biochemical changes in BAT and s-WAT in a label-free manner. “

The data folder contains all the data that has been included in this publication. The data files are stored as OPUS files and DPT files in the order of dates that we collected data. The DPT data are FTIR spectra that were collected via MCT data and the opus data are the hyperspectral data that has been used for showing images in the paper. Files contain FT-IR spectra from 10C, 24C, and 30C brown, subcutaneous, and visceral mouse adipose tissues as well as some ratiometric studies to calculate the protein:lipid ratios in FT-IR spectra in each tissue.

Please feel free to contact either Dr. Carol Hirschmugl (cjhirsch@uwm.edu) or Dr. Ebrahim Aboualizadeh (eabouali@ur.rochester.edu) for any questions or concerns regarding this data.

Publication Date

5-2017

Keywords

Fourier transform infrared imaging, spectroscopy, obesity, brown adipose tissue, subcutaneous white adipose tissue, adipose thermogenic markers

Disciplines

Physics

Recommended Citation

Aboualizadeh E, Carmichael OT, He P, Albarado DC, Morrison CD and Hirschmugl CJ (2017) Quantifying Biochemical Alterations in Brown and Subcutaneous White Adipose Tissues of Mice Using Fourier Transform Infrared Widefield Imaging. Front. Endocrinol. 8:121. doi: 10.3389/fendo.2017.00121