Plasma proteomics data from hibernating and active Scandinavian brown bears

• Published in: Data in Brief
• Main Authors: Frøbert, Anne Mette, Gregersen, Simon, Brohus, Malene, Welinder, Karen G., Kindberg, Jonas, Fröbert, Ole, Overgaard, Michael T.
• Format: Article in Journal/Newspaper
• Language: English
• Published: 2022
• Subjects: Blood; Hibernation; Mass spectrometry; Proteins; Translational medicine; Ursus arctos
• Online Access: https://pure.au.dk/portal/da/publications/plasma-proteomics-data-from-hibernating-and-active-scandinavian-brown-bears(79bdbf19-050b-47d1-b16b-d324ce4ad9b6).html; https://doi.org/10.1016/j.dib.2022.107959; http://www.scopus.com/inward/record.url?scp=85124974539&partnerID=8YFLogxK

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.