-
Je něco špatně v tomto záznamu ?
Liquid chromatography-tandem mass spectrometry analysis of peptides separated from the insoluble matrix by in-sample tryptic protein digestion for rapid discrimination of various induced pathological states of human bone models in oral surgery
I. Michalus, T. Van Nguyen, J. Viktorová, P. Cejnar, J. Šantrůček, Š. Kučková, P. Sázelová, V. Kašička, R. Hynek
Jazyk angličtina Země Německo
Typ dokumentu časopisecké články
Odkazy
PubMed
36222229
DOI
10.1002/jssc.202200694
Knihovny.cz E-zdroje
- MeSH
- chromatografie kapalinová metody MeSH
- lidé MeSH
- peptidy analýza MeSH
- proteiny chemie MeSH
- proteolýza MeSH
- proteomika metody MeSH
- stomatochirurgické výkony * MeSH
- tandemová hmotnostní spektrometrie * metody MeSH
- trypsin chemie MeSH
- zánět MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
For the understanding of pathological states of bone tissues in oral surgery, it would be desirable to have the possibility to simulate these processes on bone cell models in vitro. These cultures, similarly to bone tissues, contain numerous proteins entrapped in the insoluble matrix. The major goal of this study was to verify whether a method based on direct in-matrix protein digestion could be suitable for the discrimination between different induced pathological states of bone cell models cultivated in vitro. Using in-sample specific protein digestion with trypsin followed by liquid chromatography-tandem mass spectrometry analysis of released peptides, 446 proteins (in average per sample) were identified in a bone cell in vitro model with induced cancer, 440 proteins were found in a model with induced inflammation, 451 proteins were detected in control in vitro culture, and 491 proteins were distinguished in samples of vestibular laminas of maxillary bone tissues originating from six different patients. Subsequent partial least squares - discrimination analysis of obtained liquid chromatography-tandem mass spectrometry data was able to discriminate among in vitro cultures with induced cancer, with induced inflammation, and control cultivation. Thus, the direct in-sample protein digestion by trypsin followed by liquid chromatography-tandem mass spectrometry analysis of released specific peptide fragments from the insoluble matrix and mathematical analysis of the mass spectrometry data seems to be a promising tool for the routine proteomic characterization of in vitro human bone models with induced different pathological states.
- 000
- 00000naa a2200000 a 4500
- 001
- bmc22032378
- 003
- CZ-PrNML
- 005
- 20230131151320.0
- 007
- ta
- 008
- 230120s2022 gw f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1002/jssc.202200694 $2 doi
- 035 __
- $a (PubMed)36222229
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a gw
- 100 1_
- $a Michalus, Iva $u First Faculty of Medicine Charles University, Prague 2, Czech Republic $1 https://orcid.org/0000000243116711
- 245 10
- $a Liquid chromatography-tandem mass spectrometry analysis of peptides separated from the insoluble matrix by in-sample tryptic protein digestion for rapid discrimination of various induced pathological states of human bone models in oral surgery / $c I. Michalus, T. Van Nguyen, J. Viktorová, P. Cejnar, J. Šantrůček, Š. Kučková, P. Sázelová, V. Kašička, R. Hynek
- 520 9_
- $a For the understanding of pathological states of bone tissues in oral surgery, it would be desirable to have the possibility to simulate these processes on bone cell models in vitro. These cultures, similarly to bone tissues, contain numerous proteins entrapped in the insoluble matrix. The major goal of this study was to verify whether a method based on direct in-matrix protein digestion could be suitable for the discrimination between different induced pathological states of bone cell models cultivated in vitro. Using in-sample specific protein digestion with trypsin followed by liquid chromatography-tandem mass spectrometry analysis of released peptides, 446 proteins (in average per sample) were identified in a bone cell in vitro model with induced cancer, 440 proteins were found in a model with induced inflammation, 451 proteins were detected in control in vitro culture, and 491 proteins were distinguished in samples of vestibular laminas of maxillary bone tissues originating from six different patients. Subsequent partial least squares - discrimination analysis of obtained liquid chromatography-tandem mass spectrometry data was able to discriminate among in vitro cultures with induced cancer, with induced inflammation, and control cultivation. Thus, the direct in-sample protein digestion by trypsin followed by liquid chromatography-tandem mass spectrometry analysis of released specific peptide fragments from the insoluble matrix and mathematical analysis of the mass spectrometry data seems to be a promising tool for the routine proteomic characterization of in vitro human bone models with induced different pathological states.
- 650 _2
- $a lidé $7 D006801
- 650 12
- $a tandemová hmotnostní spektrometrie $x metody $7 D053719
- 650 _2
- $a trypsin $x chemie $7 D014357
- 650 _2
- $a proteomika $x metody $7 D040901
- 650 _2
- $a proteolýza $7 D059748
- 650 _2
- $a chromatografie kapalinová $x metody $7 D002853
- 650 _2
- $a peptidy $x analýza $7 D010455
- 650 _2
- $a proteiny $x chemie $7 D011506
- 650 12
- $a stomatochirurgické výkony $7 D019647
- 650 _2
- $a zánět $7 D007249
- 655 _2
- $a časopisecké články $7 D016428
- 700 1_
- $a Van Nguyen, Tran $u Department of Biochemistry and Microbiology, University of Chemistry and Technology, Prague 6, Czech Republic
- 700 1_
- $a Viktorová, Jitka $u Department of Biochemistry and Microbiology, University of Chemistry and Technology, Prague 6, Czech Republic $1 https://orcid.org/000000030857153X
- 700 1_
- $a Cejnar, Pavel $u Department of Computing and Control Engineering, University of Chemistry and Technology, Prague 6, Czech Republic $1 https://orcid.org/000000022369651X
- 700 1_
- $a Šantrůček, Jiří $u Department of Biochemistry and Microbiology, University of Chemistry and Technology, Prague 6, Czech Republic $1 https://orcid.org/000000030832757X
- 700 1_
- $a Kučková, Štěpánka $u Department of Biochemistry and Microbiology, University of Chemistry and Technology, Prague 6, Czech Republic $1 https://orcid.org/0000000299747862
- 700 1_
- $a Sázelová, Petra $u Electromigration Methods, Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences, Prague 6, Czech Republic $1 https://orcid.org/0000000183914884
- 700 1_
- $a Kašička, Václav $u Electromigration Methods, Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences, Prague 6, Czech Republic $1 https://orcid.org/0000000317191432
- 700 1_
- $a Hynek, Radovan $u Department of Biochemistry and Microbiology, University of Chemistry and Technology, Prague 6, Czech Republic $1 https://orcid.org/0000000260185321
- 773 0_
- $w MED00006463 $t Journal of separation science $x 1615-9314 $g Roč. 45, č. 24 (2022), s. 4388-4396
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/36222229 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y p $z 0
- 990 __
- $a 20230120 $b ABA008
- 991 __
- $a 20230131151316 $b ABA008
- 999 __
- $a ok $b bmc $g 1891255 $s 1183713
- BAS __
- $a 3
- BAS __
- $a PreBMC-MEDLINE
- BMC __
- $a 2022 $b 45 $c 24 $d 4388-4396 $e 20221026 $i 1615-9314 $m Journal of separation science $n J Sep Sci $x MED00006463
- LZP __
- $a Pubmed-20230120