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Comprehensive protein profiling of synovial fluid in osteoarthritis following protein equalization.

Peffers MJ, McDermott B, Clegg PD, Riggs CM - Osteoarthr. Cartil. (2015)

Bottom Line: The number of protein identifications was increased by 33% in the ProteoMiner™ treated SF compared to undepleted SF.A total of 764 proteins (462 with≥2 significant peptides) were identified in SF.We identified a distinct set of proteins and neopeptides that may act as potential biomarkers to distinguish between normal and OA joints.

View Article: PubMed Central - PubMed

Affiliation: Comparative Musculoskeletal Biology, Institute of Ageing and Chronic Disease, University of Liverpool, Leahurst, Chester High Road, Neston, Wirral, CH64 7TE, UK. Electronic address: peffs@liv.ac.uk.

No MeSH data available.


Related in: MedlinePlus

GO of SF using Panther. All proteins identified in SF were input into Panther protein classification software in order to determine the GO terms for (a) biological processes and (b) molecular function. Pie charts are representative of the percentage of proteins within each classification.
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fig2: GO of SF using Panther. All proteins identified in SF were input into Panther protein classification software in order to determine the GO terms for (a) biological processes and (b) molecular function. Pie charts are representative of the percentage of proteins within each classification.

Mentions: FigureĀ 2 demonstrates the GO biological processes and molecular functions identified. Additional File 3 details protein class and cellular components identified. DAVID identified four significant Kegg pathways from the data set; complement and coagulation cascade, systemic lupus erythematosus, prion diseases and antigen processing and presentation (Bonferroni-adjusted P-values of 1.72E-23, 2.58E-14, 0.001, 0.04 respectively). Additional File 4 contains all results.


Comprehensive protein profiling of synovial fluid in osteoarthritis following protein equalization.

Peffers MJ, McDermott B, Clegg PD, Riggs CM - Osteoarthr. Cartil. (2015)

GO of SF using Panther. All proteins identified in SF were input into Panther protein classification software in order to determine the GO terms for (a) biological processes and (b) molecular function. Pie charts are representative of the percentage of proteins within each classification.
© Copyright Policy - CC BY
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4528073&req=5

fig2: GO of SF using Panther. All proteins identified in SF were input into Panther protein classification software in order to determine the GO terms for (a) biological processes and (b) molecular function. Pie charts are representative of the percentage of proteins within each classification.
Mentions: FigureĀ 2 demonstrates the GO biological processes and molecular functions identified. Additional File 3 details protein class and cellular components identified. DAVID identified four significant Kegg pathways from the data set; complement and coagulation cascade, systemic lupus erythematosus, prion diseases and antigen processing and presentation (Bonferroni-adjusted P-values of 1.72E-23, 2.58E-14, 0.001, 0.04 respectively). Additional File 4 contains all results.

Bottom Line: The number of protein identifications was increased by 33% in the ProteoMiner™ treated SF compared to undepleted SF.A total of 764 proteins (462 with≥2 significant peptides) were identified in SF.We identified a distinct set of proteins and neopeptides that may act as potential biomarkers to distinguish between normal and OA joints.

View Article: PubMed Central - PubMed

Affiliation: Comparative Musculoskeletal Biology, Institute of Ageing and Chronic Disease, University of Liverpool, Leahurst, Chester High Road, Neston, Wirral, CH64 7TE, UK. Electronic address: peffs@liv.ac.uk.

No MeSH data available.


Related in: MedlinePlus