Proteomics

Dataset Information

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Proteomic profiling of canine (dog) serum and urine

ABSTRACT: Companion dog care market is annually increasing. A relationship with a dog who lives with humans gives a lot of psychological stability. Therefore, companion dog's health is important to the owner. It would be of great help if a non-invasive method could monitor health through bodily fluids (urine, serum). In addition to this, it is principal to discover and verify protein biomarkers that can detect the presence or absence of disease. Despite the growing application of proteomics in biomarker research using canine serum or urine, there is no spectral assay library publicly available. Here, we set up spectral assay libraries for canine serum and urine samples using 24 midpH-fractionated samples to enable deep proteome coverage. The canine serum assay library includes 4,749 protein groups and 25,228 peptides and urine assay library contains 1,132 protein groups and 5,483 peptides.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Canis Lupus Familiaris

TISSUE(S): Urine, Blood Serum

SUBMITTER: Hee-Sung Ahn  

LAB HEAD: Kyunggon Kim

PROVIDER: PXD038645 | Pride | 2023-09-04

REPOSITORIES: Pride

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Dataset's files

Source:
Action DRS
DogSerum-Fraction01.raw Raw
DogSerum-Fraction02.raw Raw
DogSerum-Fraction03.raw Raw
DogSerum-Fraction04.raw Raw
DogSerum-Fraction05.raw Raw
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Publications

Generating Detailed Spectral Libraries for Canine Proteomes Obtained from Serum and Urine.

Ahn Hee-Sung HS   Yeom Jeonghun J   Yu Jiyoung J   Oh Yumi Y   Hong JeongYeon J   Kim Minjung M   Kim Kyunggon K  

Scientific data 20230427 1

Domestic dogs (Canis lupus familiaris) are popular companion animals. Increase in medical expenses associated with them and demand for extending their lifespan in a healthy manner has created the need to develop new diagnostic technology. Companion dogs also serve as important animal models for non-clinical research as they can provide various biological phenotypes. Proteomics have been increasingly used on dogs and humans to identify novel biomarkers of various diseases. Despite the growing app  ...[more]

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