Human follicular fluid proteomic and peptidomic composition quantitative studies by SWATH-MS methodology. Applicability of high pH RP-HPLC fractionation

Aleksandra Lewandowska , Katarzyna Macur , Paulina Czaplewska , Joanna Liss , Krzysztof Łukaszuk , Stanisław Ołdziej


Analysis of proteomic composition of human follicular fluid (hFF) has been previously proposed as a potential tool of oocyte quality evaluation. In order to develop an efficient method to investigate the hFF proteome and peptidome components, we applied and tested a few prefractionation schemes of hFF material consisting of ultrafiltration, optional immunodepletion, and high pH RP-HPLC separation by building spectral libraries and comparing their quantification capabilities of unfractionated samples. Low Molecular-Weight Fraction peptides (LMWF, <10 kDa) and High Molecular-Weight Fraction proteins (HMWF, >10 kDa) resulting from ultrafiltration were analyzed separately. We identified 302 proteins in HMWF and 161 proteins in LMWF in all qualitative experiments. All LMWF peptidomic libraries turned out to be of poor quantification quality, however they enabled measurement of higher numbers of peptides with increasing input of experiment data, in contrast to HMWF proteomic libraries. We were able to quantify a total of 108 HMWF proteins and 250 LMWF peptides (from 84 proteins) in all experiments. Employment of high RP-HPLC fractionation allowed for identification of a much broader set of proteins, however did not significantly improve the quantification capabilities of the applied method. Data are available via ProteomeXchange with identifier PXD008073. Significance: In the search of biomarkers for assessment of oocyte quality in assisted reproductive technology, many studies are devoted to analysis of follicular fluid composition. Candidates for such biomarkers can be located in both the proteome and the recently investigated peptidome of hFF. Reliable qualitative and especially quantitative analysis of complex mixtures such as hFF, requires development of a fast and preferably inexpensive analytical procedure. The powerful SWATH-MS technique is well suited for quantitative label-free analysis of complex protein and peptide mixtures. However, for efficient usage it needs well designed and constructed MS-spectral libraries as well as a proper protocol for sample preparation. We investigated the influence of the size and quality of MS-spectral libraries (different spectral libraries are constructed using various sample prefractionation protocols) on SWATH experiments on hFF proteome and peptidome. In the case of peptidome investigation, increasing the size of spectral libraries led to quantification of more peptides in a single experiment. For the proteome, increasing the size of spectral libraries improved quantification only to a limited extend, and further extension of spectral libraries even worsened results. Nevertheless, using the best selected prefractionation schemes and spectral libraries we were able to quantify as many as 79 proteins of hFF proteome and 106 peptides (from 53 proteins) of hFF peptidome in single experiments. The spectral libraries and prefractionation protocols we developed allow for a large scale fast scan of hundreds of clinical hFF samples in the search for biomarkers for evaluation of oocyte quality.
Author Aleksandra Lewandowska (IFB)
Aleksandra Lewandowska,,
- Intercollegiate Faculty of Biotechnology UG
, Katarzyna Macur (IFB/ZLS)
Katarzyna Macur,,
- Zespół Laboratoriów Specjalistycznych MWB UG i GUMed
, Paulina Czaplewska (IFB/ZLS)
Paulina Czaplewska,,
- Zespół Laboratoriów Specjalistycznych MWB UG i GUMed
, Joanna Liss
Joanna Liss,,
, Krzysztof Łukaszuk
Krzysztof Łukaszuk,,
, Stanisław Ołdziej (IFB/IB/LBiopolS)
Stanisław Ołdziej,,
- Laboratory of Biopolymers Structure
Journal seriesJournal of Proteomics, ISSN 1874-3919, (N/A 100 pkt)
Issue year2019
Publication size in sheets0.55
Keywords in Englishhuman follicular fluid, high pH RP-HPLC fractionation, SWATH-MS, proteome, peptidome
ASJC Classification1303 Biochemistry; 1304 Biophysics
Languageen angielski
Score (nominal)100
Score sourcejournalList
ScoreMinisterial score = 100.0, 28-01-2020, ArticleFromJournal
Publication indicators WoS Citations = 0.000; Scopus SNIP (Source Normalised Impact per Paper): 2018 = 1.005; WoS Impact Factor: 2018 = 3.537 (2) - 2018=3.559 (5)
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