-
Je něco špatně v tomto záznamu ?
Affinity depletion versus relative protein enrichment: a side-by-side comparison of two major strategies for increasing human cerebrospinal fluid proteome coverage
E. Jankovska, M. Svitek, K. Holada, J. Petrak,
Jazyk angličtina Země Anglie, Velká Británie
Typ dokumentu časopisecké články
Grantová podpora
NV15-32961A
MZ0
CEP - Centrální evidence projektů
Digitální knihovna NLK
Plný text - Článek
NLK
BioMedCentral
od 2004-03-01
BioMedCentral Open Access
od 2010
Directory of Open Access Journals
od 2011
Free Medical Journals
od 2011
PubMed Central
od 2011
Europe PubMed Central
od 2011
ProQuest Central
od 2011-01-01 do 2019-12-31
Open Access Digital Library
od 2011-01-01
Open Access Digital Library
od 2011-01-01
Health & Medicine (ProQuest)
od 2011-01-01 do 2019-12-31
ROAD: Directory of Open Access Scholarly Resources
od 2004
Springer Nature OA/Free Journals
od 2004-03-01
- Publikační typ
- časopisecké články MeSH
Cerebrospinal fluid (CSF) is in direct contact with the central nervous system. This makes human CSF an attractive source of potential biomarkers for neurologic diseases. Similarly to blood plasma, proteomic analysis of CSF is complicated by a high dynamic range of individual protein concentrations and by the presence of several highly abundant proteins. To deal with the abundant human CSF proteins, methods developed for blood plasma/serum are routinely used. Multiple affinity removal systems and protein enrichment of less abundant proteins using a combinatorial peptide ligand library are among the most frequent approaches. However, their relative impact on CSF proteome coverage has never been evaluated side-by-side in a single study. Therefore, we explored the effect of CSF depletion using MARS 14 cartridge and ProteoMiner ligand library on the number of CSF proteins identified in subsequent LC-MS/MS analysis. LC-MS/MS analysis of crude (non-treated) CSF provided roughly 500 identified proteins. Depletion of CSF by MARS 14 cartridge increased the number of identifications to nearly 800, while treatment of CSF using ProteoMiner enabled identification of 600 proteins. To explore the potential losses of CSF proteins during the depletion process, we also analyzed the "waste" fractions generated by both methods, i.e., proteins retained by the MARS 14 cartridge, and the molecules present in the flow-through fraction from ProteoMiner. More than 250 proteins were bound to MARS 14 cartridge, 100 of those were not identified in the corresponding depleted CSF. Similarly, analysis of the waste fraction in ProteoMiner workflow provided almost 70 unique proteins not found in the CSF depleted by the ligand library. Both depletion strategies significantly increased the number of identified CSF proteins compared to crude CSF. However, MARS 14 depletion provided a markedly higher number of identified proteins (773) compared to ProteoMiner (611). Further, we showed that CSF proteins are lost due to co-depletion (MARS 14) or exclusion (ProteoMiner) during the depletion process. This suggests that the routinely discarded "waste" fractions contain proteins of potential interest and should be included in CSF biomarker studies.
Citace poskytuje Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc19013234
- 003
- CZ-PrNML
- 005
- 20190411100122.0
- 007
- ta
- 008
- 190405s2019 enk f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1186/s12014-019-9229-1 $2 doi
- 035 __
- $a (PubMed)30890900
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a enk
- 100 1_
- $a Jankovska, Eliska $u 1BIOCEV, First Faculty of Medicine, Charles University, Prague, Czech Republic.
- 245 10
- $a Affinity depletion versus relative protein enrichment: a side-by-side comparison of two major strategies for increasing human cerebrospinal fluid proteome coverage / $c E. Jankovska, M. Svitek, K. Holada, J. Petrak,
- 520 9_
- $a Cerebrospinal fluid (CSF) is in direct contact with the central nervous system. This makes human CSF an attractive source of potential biomarkers for neurologic diseases. Similarly to blood plasma, proteomic analysis of CSF is complicated by a high dynamic range of individual protein concentrations and by the presence of several highly abundant proteins. To deal with the abundant human CSF proteins, methods developed for blood plasma/serum are routinely used. Multiple affinity removal systems and protein enrichment of less abundant proteins using a combinatorial peptide ligand library are among the most frequent approaches. However, their relative impact on CSF proteome coverage has never been evaluated side-by-side in a single study. Therefore, we explored the effect of CSF depletion using MARS 14 cartridge and ProteoMiner ligand library on the number of CSF proteins identified in subsequent LC-MS/MS analysis. LC-MS/MS analysis of crude (non-treated) CSF provided roughly 500 identified proteins. Depletion of CSF by MARS 14 cartridge increased the number of identifications to nearly 800, while treatment of CSF using ProteoMiner enabled identification of 600 proteins. To explore the potential losses of CSF proteins during the depletion process, we also analyzed the "waste" fractions generated by both methods, i.e., proteins retained by the MARS 14 cartridge, and the molecules present in the flow-through fraction from ProteoMiner. More than 250 proteins were bound to MARS 14 cartridge, 100 of those were not identified in the corresponding depleted CSF. Similarly, analysis of the waste fraction in ProteoMiner workflow provided almost 70 unique proteins not found in the CSF depleted by the ligand library. Both depletion strategies significantly increased the number of identified CSF proteins compared to crude CSF. However, MARS 14 depletion provided a markedly higher number of identified proteins (773) compared to ProteoMiner (611). Further, we showed that CSF proteins are lost due to co-depletion (MARS 14) or exclusion (ProteoMiner) during the depletion process. This suggests that the routinely discarded "waste" fractions contain proteins of potential interest and should be included in CSF biomarker studies.
- 655 _2
- $a časopisecké články $7 D016428
- 700 1_
- $a Svitek, Marek $u 2Department of Anesthesiology and Intensive Care, First Faculty of Medicine, Charles University, Prague, Czech Republic. 3General University Hospital, Prague, Czech Republic.
- 700 1_
- $a Holada, Karel $u 4Institute of Immunology and Microbiology, First Faculty of Medicine, Charles University, Prague, Czech Republic.
- 700 1_
- $a Petrak, Jiri $u 1BIOCEV, First Faculty of Medicine, Charles University, Prague, Czech Republic.
- 773 0_
- $w MED00173375 $t Clinical proteomics $x 1542-6416 $g Roč. 16, č. - (2019), s. 9
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/30890900 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y a $z 0
- 990 __
- $a 20190405 $b ABA008
- 991 __
- $a 20190411100140 $b ABA008
- 999 __
- $a ind $b bmc $g 1392544 $s 1051539
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2019 $b 16 $c - $d 9 $e 20190226 $i 1542-6416 $m Clinical proteomics $n Clin Proteomics $x MED00173375
- GRA __
- $a NV15-32961A $p MZ0
- LZP __
- $a Pubmed-20190405