Plasma proteomics data from hibernating and active Scandinavian brown bears

被引:1
|
作者
Frobert, Anne Mette [1 ]
Gregersen, Simon [1 ]
Brohus, Malene [1 ]
Welinder, Karen G. [1 ]
Kindberg, Jonas [2 ,3 ]
Frobert, Ole [4 ,5 ,6 ,7 ]
Overgaard, Michael T. [1 ]
机构
[1] Aalborg Univ, Fac Sci & Engn, Dept Chem & Biosci, Fredrik Bajers Vej 7H, DK-9220 Aalborg, Denmark
[2] Swedish Univ Agr Sci, Dept Wildlife Fish & Environm Studies, Umea, Sweden
[3] Norwegian Inst Nat Res, Trondheim, Norway
[4] Orebro Univ, Fac Hlth, Dept Cardiol, Orebro, Sweden
[5] Aarhus Univ, Fac Hlth, Dept Clin Med, Aarhus, Denmark
[6] Aarhus Univ Hosp, Dept Clin Pharmacol, Aarhus, Denmark
[7] Aarhus Univ Hosp, Steno Diabet Ctr Aarhus, Aarhus, Denmark
来源
DATA IN BRIEF | 2022年 / 41卷
关键词
Ursus arctos; Hibernation; Proteins; Blood; Mass spectrometry; Translational medicine;
D O I
10.1016/j.dib.2022.107959
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
In this article, we present mass-spectrometry based plasma proteomics data from hibernating and active free-ranging Scandinavian brown bears (Ursus arctos). The brown bear hibernates for half the year. Despite obesity when entering the den and the prolonged period of inactivity, the bear shows no signs of the harmful effects associated with these conditions in humans. Thus, the hibernating bear is a potential translational model for addressing these complications in humans. We analyzed plasma samples from fourteen 2- to 3-year-old bears (6 males and 8 females) collected both during hibernation and the active state, and for some of the bears during two seasons, resulting in a total of 38 analyzed plasma samples. In triplicates, the plasma proteins were unfolded and reduced. To increase the chance of detecting low-molecular-weight proteins and peptides, we filtered the samples using a 50 K molecular weight cut-off filter with the aim to deplete larger abundant proteins, including albumin, and thereby increase the depth of the analysis. The proteins in the permeate were then tryptically digested, desalted, and analyzed with liquid chromatography-tandem mass spectrometry (LC-MS/MS). Protein identification and quantification was performed with the MaxQuant software searching against an Ursus arctos horribilis protein database. Here, we provide the raw data, a list with identified proteins in the plasma samples, and the databases applied for protein identification. Based on the provided data, differentially expressed proteins in hibernation compared to active state can be identified. These proteins may be involved in the bears' adaptions to hibernation physiology and hold potential as novel therapeutic targets. (c) 2022 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
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页数:9
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