2023
DOI: 10.1101/2023.06.13.544743
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Label-free quantification LC-mass spectrometry proteomic analysis of blood plasma in healthy dogs

Abstract: Bloodwork is a widely used diagnostic tool in veterinary medicine, as diagnosis and therapeutic interventions often rely on blood biomarkers. However, biomarkers available in veterinary medicine often lack sensitivity or specificity. Mass spectrometry (MS)-based proteomics technology has been extensively used in biological fluids and offers excellent potential for a more comprehensive characterization of the plasma proteome in veterinary medicine. In this study, we aimed to identify and quantify plasma protein… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
4
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
1
1

Relationship

2
0

Authors

Journals

citations
Cited by 2 publications
(4 citation statements)
references
References 58 publications
0
4
0
Order By: Relevance
“…Next, we used label-free quantification (LFQ) mass spectrometry to analyse canine plasma from dogs affected AHDS in comparison with healthy controls. We have previously used LFQ proteomics to characterise plasma from healthy dogs [ 12 ]. LFQ-approach has been widely used to quantify protein abundance in biological samples in general and biomedicine in particular [ 13 ].…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…Next, we used label-free quantification (LFQ) mass spectrometry to analyse canine plasma from dogs affected AHDS in comparison with healthy controls. We have previously used LFQ proteomics to characterise plasma from healthy dogs [ 12 ]. LFQ-approach has been widely used to quantify protein abundance in biological samples in general and biomedicine in particular [ 13 ].…”
Section: Resultsmentioning
confidence: 99%
“…The samples from both groups, diagnosed with AHDS and the healthy control group, were grouped into five independent pool sets, each created using the "tidyverse" R package to generate randomisation and group selection as previously described [ 12 ]. The procedure involved assigning a number to each sample.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…These techniques enable researchers to identify and quantify proteins with a higher degree of precision, aiding in discovering of potential biomarkers and therapeutic targets. Although the current body of research is comparatively limited, the growing attention to this cutting-edge approach in veterinary science is encouraging [15]. This article reports a quantitative proteomic study of canine plasma from patients affected by AHDS and its comparison with plasma from healthy controls.…”
Section: Introductionmentioning
confidence: 99%