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maxquant analysis  (Caprotec Bioanalytics GmbH)

 
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    Caprotec Bioanalytics GmbH maxquant analysis
    Maxquant Analysis, supplied by Caprotec Bioanalytics GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/maxquant+analysis/maxquant+analysis/us11008282-278-4-15
    Average 90 stars, based on 1 article reviews
    maxquant analysis - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    other:

    Article Title: Identification of Potential Off-target Toxicity Liabilities of Catechol-O-methyltransferase Inhibitors by Differential Competition Capture Compound Mass Spectrometry.
    Article Snippet: Structurally related inhibitors of a shared therapeutic target may differ regarding potential toxicity issues that are caused by different off-target bindings.. We devised a differential competition capture compound mass spectrometry (dCCMS) strategy to effectively differentiate off-target profiles.. Tolcapone and entacapone are potent inhibitors of catechol-Omethyl transferase (COMT) for the treatment of Parkinson’s disease.

    Article Title: Bicyclic-compounds for use as a medicament, in particular for treatment of parkinson's disease
    Article Snippet: The output of the MaxQuant analysis was post-processed according to a standardized procedure implemented at caprotec bioanalytics GmbH to normalize protein intensities, and subsequently calculate fold changes and p-values.



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    Shotgun proteomics to compare saliva and CSF and correlation analysis of differentially expressed genes in saliva. A) GO Biological pathways for salivary proteins. B) Number of shared proteins between saliva and CSF. C) Number of shared hits between common proteins and AD related proteins. D) STRING map shows the functional association based on the string database indicating the interactome of commonly shared proteins in saliva and CSF with AD. E) Volcano plots showing differential expression in saliva and F) CSF between AD and CN. G) Abundance rank dot plots for saliva and H) CSF shows the range of expression levels for the differentially expressed proteins. I) STRING map shows the interaction of differentially expressed proteins in saliva and J) in CSF. In the STRING map, the pink line represents the known interaction that is experimentally determined, blue line represents the known interaction from curated databases, green line represents predicted interaction due to gene neighborhood, red line represents prediction due to gene fusions and dark blue line represents prediction due to gene co-occurrence.

    Journal: Journal of Alzheimer's Disease Reports

    Article Title: Salivary Proteomics Identifies Transthyretin as a Biomarker of Early Dementia Conversion

    doi: 10.3233/ADR-210056

    Figure Lengend Snippet: Shotgun proteomics to compare saliva and CSF and correlation analysis of differentially expressed genes in saliva. A) GO Biological pathways for salivary proteins. B) Number of shared proteins between saliva and CSF. C) Number of shared hits between common proteins and AD related proteins. D) STRING map shows the functional association based on the string database indicating the interactome of commonly shared proteins in saliva and CSF with AD. E) Volcano plots showing differential expression in saliva and F) CSF between AD and CN. G) Abundance rank dot plots for saliva and H) CSF shows the range of expression levels for the differentially expressed proteins. I) STRING map shows the interaction of differentially expressed proteins in saliva and J) in CSF. In the STRING map, the pink line represents the known interaction that is experimentally determined, blue line represents the known interaction from curated databases, green line represents predicted interaction due to gene neighborhood, red line represents prediction due to gene fusions and dark blue line represents prediction due to gene co-occurrence.

    Article Snippet: CSF and saliva proteome from AD patients and age-matched control subjects were investigated using the open-source MaxQuant Perseus proteomics analysis software; protein expression variability within the clinical group was analyzed using homogeneity of variance.

    Techniques: Functional Assay, Quantitative Proteomics, Expressing

    Journal: The EMBO Journal

    Article Title: An optimized quantitative proteomics method establishes the cell type‐resolved mouse brain secretome

    doi: 10.15252/embj.2020105693

    Figure Lengend Snippet:

    Article Snippet: The results of the MaxQuant analysis were used to generate DIA spectral libraries of proteins in Spectronaut Pulsar X (Biognosys).

    Techniques: Cell Culture, Mouse Assay, Sandwich ELISA, Enzyme-linked Immunosorbent Assay, Software, Mass Spectrometry