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Spectral counting assessment of protein dynamic range in cerebrospinal fluid following depletion with plasma-designed immunoaffinity columns. | LitMetric

AI Article Synopsis

  • This study focuses on improving the detection of low-abundance proteins in cerebrospinal fluid (CSF), which is important for identifying biomarkers for neurological diseases.
  • Two techniques for immunodepletion were compared: one depletes only albumin, and the other depletes 14 high-abundance proteins. Both methods significantly increased the detection of low-abundance proteins, with IgY14 showing a 4-fold improvement.
  • The study concludes that these immunodepletion methods, especially combined with the APEX spectral counting technique, are effective for analyzing CSF proteomics, though they may result in some loss of non-target proteins.

Article Abstract

Background: In cerebrospinal fluid (CSF), which is a rich source of biomarkers for neurological diseases, identification of biomarkers requires methods that allow reproducible detection of low abundance proteins. It is therefore crucial to decrease dynamic range and improve assessment of protein abundance.

Results: We applied LC-MS/MS to compare the performance of two CSF enrichment techniques that immunodeplete either albumin alone (IgYHSA) or 14 high-abundance proteins (IgY14). In order to estimate dynamic range of proteins identified, we measured protein abundance with APEX spectral counting method.Both immunodepletion methods improved the number of low-abundance proteins detected (3-fold for IgYHSA, 4-fold for IgY14). The 10 most abundant proteins following immunodepletion accounted for 41% (IgY14) and 46% (IgYHSA) of CSF protein content, whereas they accounted for 64% in non-depleted samples, thus demonstrating significant enrichment of low-abundance proteins. Defined proteomics experiment metrics showed overall good reproducibility of the two immunodepletion methods and MS analysis. Moreover, offline peptide fractionation in IgYHSA sample allowed a 4-fold increase of proteins identified (520 vs. 131 without fractionation), without hindering reproducibility.

Conclusions: The novelty of this study was to show the advantages and drawbacks of these methods side-to-side. Taking into account the improved detection and potential loss of non-target proteins following extensive immunodepletion, it is concluded that both depletion methods combined with spectral counting may be of interest before further fractionation, when searching for CSF biomarkers. According to the reliable identification and quantitation obtained with APEX algorithm, it may be considered as a cheap and quick alternative to study sample proteomic content.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3167203PMC
http://dx.doi.org/10.1186/1559-0275-8-6DOI Listing

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