Ticks, being vectors for a variety of pathogens such as tick-borne encephalitis virus (TBEV), have developed defense mechanisms and pathways against infections, allowing them to control the virus at a level that does not hinder their fitness and development. At the present moment, only a few studies focused on interactions between ticks and TBEV on a molecular level have been published. Here, a possible application of MALDI-TOF MS as a research tool for the investigation of tick-virus interactions was shown. Mass spectrometry (MS) profiles of TBEV-infected and non-infected IRE/CTVM19 tick cell line were compared using principal component analysis. MS spectra were clustered based on the cultivation time of cells, but not their infection status. Nevertheless, the analysis of loading plots revealed different factors (peaks) being involved in the clustering of infected and non-infected cells. Out of them, nine were assigned with proteins: five and four for non-infected and infected cells, respectively. Peak with m/z 8565 was found to be of interest because it was suppressed upon TBEV infection and assigned to proteasome subunit alpha type (B7QE67).
- MeSH
- buněčné linie virologie MeSH
- klíště virologie MeSH
- viry klíšťové encefalitidy fyziologie MeSH
- zvířata MeSH
- Check Tag
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
BACKGROUND: The availability of tick in vitro cell culture systems has facilitated many aspects of tick research, including proteomics. However, certain cell lines have shown a tissue-specific response to infection. Thus, a more thorough characterization of tick cell lines is necessary. Proteomic comparative studies of various tick cell lines will contribute to more efficient application of tick cell lines as model systems for investigation of host-vector-pathogen interactions. RESULTS: Three cell lines obtained from a hard tick, Ixodes ricinus, and two from I. scapularis were investigated. A cell mass spectrometry approach (MALDI-TOF MS) was applied, as well as classical proteomic workflows. Using PCA, tick cell line MS profiles were grouped into three clusters comprising IRE/CTVM19 and ISE18, IRE11 and IRE/CTVM20, and ISE6 cell lines. Two other approaches confirmed the results of PCA: in-solution digestion followed by nanoLC-ESI-Q-TOF MS/MS and 2D electrophoresis. The comparison of MS spectra of the cell lines and I. ricinus tick organs revealed 29 shared peaks. Of these, five were specific for ovaries, three each for gut and salivary glands, and one for Malpighian tubules. For the first time, characteristic peaks in MS profiles of tick cell lines were assigned to proteins identified in acidic extracts of corresponding cell lines. CONCLUSIONS: Several organ-specific MS signals were revealed in the profiles of tick cell lines.
- MeSH
- 2D gelová elektroforéza MeSH
- buněčné linie * cytologie metabolismus MeSH
- hmyzí proteiny metabolismus MeSH
- klíště cytologie MeSH
- proteomika MeSH
- slinné žlázy cytologie MeSH
- spektrometrie hmotnostní - ionizace laserem za účasti matrice * MeSH
- tandemová hmotnostní spektrometrie MeSH
- zvířata MeSH
- Check Tag
- ženské pohlaví MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- srovnávací studie MeSH
