Pressure-Assisted Protein Extraction: A Novel Method for Recovering Proteins from Archival Tissue for Proteomic Analysis

Formaldehyde-fixed, paraffin-embedded (FFPE) tissue repositories represent a valuable resource for the retrospective study of disease progression and response to therapy. However, the proteomic analysis of FFPE tissues has been hampered by formaldehyde-induced protein modifications, which reduce protein extraction efficiency and may lead to protein misidentification. Here, we demonstrate the use of heat augmented with high hydrostatic pressure (40,000 psi) as a novel method for the recovery of intact proteins from FFPE mouse liver. When FFPE mouse liver was extracted using heat and elevated pressure, there was a 4-fold increase in protein extraction efficiency, a 3-fold increase in the extraction of intact proteins, and up to a 30-fold increase in the number of nonredundant proteins identified by mass spectrometry, compared to matched tissue extracted with heat alone. More importantly, the number of nonredundant proteins identified in the FFPE tissue was nearly identical to that of matched fresh-frozen tissue

Improved Titanium Dioxide Enrichment of Phosphopeptides from HeLa Cells and High Confident Phosphopeptide Identification by Cross-Validation of MS/MS and MS/MS/MS Spectra

Enrichment is essential for phosphoproteome analysis because phosphorylated proteins are usually present in cells in low abundance. Recently, titanium dioxide (TiO2) has been demonstrated to enrich phosphopeptides from simple peptide mixtures with high specificity; however, the technology has not been optimized. In the present study, significant non-specific bindings were observed when proteome samples were applied to TiO2 columns. Column wash with an NH4Glu solution after loading peptide mixtures significantly increased the efficiency of TiO2 phosphopeptide enrichment with a recovery of up to 84%. Also, for proteome samples, more than a 2-fold increase in unique phosphopeptide identifications has been achieved. The use of NH4Glu for a TiO2 column wash does not significantly reduce the phosphopeptide recovery. A total of 858 phosphopeptides corresponding to 1034 distinct phosphosites has been identified from HeLa cells using the improved TiO2 enrichment procedure in combination with data-dependent neutral loss nano-RPLC-MS2-MS3 analysis. While 41 and 35% of the phosphopeptides were identified only by MS2 and MS3, respectively, 24% was identified by both MS2 and MS3. Cross-validation of the phosphopeptide assignment by MS2 and MS3 scans resulted in the highest confidence in identification (99.5%). Many phosphosites identified in this study appear to be novel, including sites from antigen Ki-67, nucleolar phosphoprotein p130, and Treacle protein. The study also indicates that evaluation of confidence levels for phosphopeptide identification via the reversed sequence database searching strategy might underestimate the false positive rate. Keywords: Phosphoproteomics • titanium dioxide • phosphopeptide enrichment • HeLa cells • tandem mass spectrometry • neutral loss sca

Improved Titanium Dioxide Enrichment of Phosphopeptides from HeLa Cells and High Confident Phosphopeptide Identification by Cross-Validation of MS/MS and MS/MS/MS Spectra

Enrichment is essential for phosphoproteome analysis because phosphorylated proteins are usually present in cells in low abundance. Recently, titanium dioxide (TiO2) has been demonstrated to enrich phosphopeptides from simple peptide mixtures with high specificity; however, the technology has not been optimized. In the present study, significant non-specific bindings were observed when proteome samples were applied to TiO2 columns. Column wash with an NH4Glu solution after loading peptide mixtures significantly increased the efficiency of TiO2 phosphopeptide enrichment with a recovery of up to 84%. Also, for proteome samples, more than a 2-fold increase in unique phosphopeptide identifications has been achieved. The use of NH4Glu for a TiO2 column wash does not significantly reduce the phosphopeptide recovery. A total of 858 phosphopeptides corresponding to 1034 distinct phosphosites has been identified from HeLa cells using the improved TiO2 enrichment procedure in combination with data-dependent neutral loss nano-RPLC-MS2-MS3 analysis. While 41 and 35% of the phosphopeptides were identified only by MS2 and MS3, respectively, 24% was identified by both MS2 and MS3. Cross-validation of the phosphopeptide assignment by MS2 and MS3 scans resulted in the highest confidence in identification (99.5%). Many phosphosites identified in this study appear to be novel, including sites from antigen Ki-67, nucleolar phosphoprotein p130, and Treacle protein. The study also indicates that evaluation of confidence levels for phosphopeptide identification via the reversed sequence database searching strategy might underestimate the false positive rate. Keywords: Phosphoproteomics • titanium dioxide • phosphopeptide enrichment • HeLa cells • tandem mass spectrometry • neutral loss sca

Evaluation of the Acid-Cleavable Isotope-Coded Affinity Tag Reagents: Application to Camptothecin-Treated Cortical Neurons

The new generation of isotope-coded affinity tag (ICAT) reagents have been evaluated by labeling an equimolar amount of bovine serum albumin (BSA) with ICAT-12C9 and ICAT-13C9, combining the mixtures, digesting them with trypsin and analyzing the digestate both by μRPLC-tandem MS and by matrix-assisted laser desorption ionization (MALDI) TOF/TOF MS. The use of 13C in place of 2H resulted in both of the labeled peptides having identical elution characteristics in a reversed-phase separation. This similarity in elution allows ICAT-labeled peptides to be effectively analyzed using a μRPLC−MALDI−MS strategy as well. All of the cysteinyl-containing tryptic peptides from BSA were identified with only a 10% variation in the relative abundance measurements between the light and heavy versions of each peptide. A facile method for the removal of contaminants that arise from the cleaved biotin moiety that otherwise interfere with downstream separations and MS analysis has also been developed. The new ICAT reagents were then applied to the analysis of a cortical neuron proteome sample to identify proteins regulated by the antitumor drug, camptothecin. Keywords: isotope-coded affinity tags • quantitative proteomics • mass spectrometry • cortical neuron

Improved Titanium Dioxide Enrichment of Phosphopeptides from HeLa Cells and High Confident Phosphopeptide Identification by Cross-Validation of MS/MS and MS/MS/MS Spectra

Enrichment is essential for phosphoproteome analysis because phosphorylated proteins are usually present in cells in low abundance. Recently, titanium dioxide (TiO2) has been demonstrated to enrich phosphopeptides from simple peptide mixtures with high specificity; however, the technology has not been optimized. In the present study, significant non-specific bindings were observed when proteome samples were applied to TiO2 columns. Column wash with an NH4Glu solution after loading peptide mixtures significantly increased the efficiency of TiO2 phosphopeptide enrichment with a recovery of up to 84%. Also, for proteome samples, more than a 2-fold increase in unique phosphopeptide identifications has been achieved. The use of NH4Glu for a TiO2 column wash does not significantly reduce the phosphopeptide recovery. A total of 858 phosphopeptides corresponding to 1034 distinct phosphosites has been identified from HeLa cells using the improved TiO2 enrichment procedure in combination with data-dependent neutral loss nano-RPLC-MS2-MS3 analysis. While 41 and 35% of the phosphopeptides were identified only by MS2 and MS3, respectively, 24% was identified by both MS2 and MS3. Cross-validation of the phosphopeptide assignment by MS2 and MS3 scans resulted in the highest confidence in identification (99.5%). Many phosphosites identified in this study appear to be novel, including sites from antigen Ki-67, nucleolar phosphoprotein p130, and Treacle protein. The study also indicates that evaluation of confidence levels for phosphopeptide identification via the reversed sequence database searching strategy might underestimate the false positive rate. Keywords: Phosphoproteomics • titanium dioxide • phosphopeptide enrichment • HeLa cells • tandem mass spectrometry • neutral loss sca

Probing Early Growth Response 1 Interacting Proteins at the Active Promoter in Osteoblast Cells Using Oligoprecipitation and Mass Spectrometry

Current advances in proteomics have allowed for a rapidly expanding integration of associated methodologies with more traditional molecular and biochemical approaches to the study of cell function. Recent studies on the role of inorganic phosphate have suggested this ion is a novel signaling molecule capable of altering the function of numerous cell types. Elevated inorganic phosphate generated in the extracellular microenvironment by differentiating osteoblasts has recently been determined to act through a largely uncharacterized mechanism as an important signaling molecule responsible for altering the transcription of various genes during osteoblast differentiation. The transcription factor, early growth response protein 1 (EGR1), has previously been shown to be involved in the early response of osteoblasts to inorganic phosphate. To elucidate the role of EGR1 as a potential early regulator of transcription in the inorganic phosphate response, an oligoprecipitation procedure was optimized to capture the DNA bound, transcriptionally active form of EGR1. The interacting proteins thusly captured were identified using mass spectrometry (MS). Proteins involved in transcription, RNA processing, and chromatin modification were identified by this approach. The combined oligoprecipitation-MS approach presented here is highly effective for isolating and characterizing entire transcriptional complexes in the DNA bound state and is broadly extendable to the identification of both known and unknown transcription factor protein complexes. Keywords: oligoprecipitation • EGR1 • DNA-protein interaction • mass spectrometry • inorganic phosphat

Global Genomic and Proteomic Analysis Identifies Biological Pathways Related to High-Risk Neuroblastoma

Neuroblastoma (NB) is a heterogeneous pediatric tumor. To better understand the biological pathways involved in the development of high-risk neuroblastoma, we performed parallel global protein and mRNA expression profiling on NB tumors of stage 4 MYCN-amplified (4+) and stage 1 MYCN-not-amplified (1−) using isotope-coded affinity tags (ICAT) and Affymetrix U133plus2 microarray, respectively. A total of 1461 proteins represented by 2 or more peptides were identified from the quantitative ICAT analysis, of which 433 and 130 proteins are up- or down-regulated, respectively, in 4+ tumor compared to the 1− tumor. Pathway analysis of the differentially expressed proteins showed the enrichment of glycolysis, DNA replication and cell cycle processes in the up-regulated proteins and cell adhesion, nervous system development and cell differentiation processes in the down-regulated proteins in 4+ tumor; suggesting a less mature neural and a more invasive phenotype of 4+ tumor. Myc targets and ribosomal proteins are overrepresented in the 4+ tumors as expected; functional gene sets reported to be enriched in neural and embryonic stem cells are significantly enriched in the 4+ tumor, indicating the existence of a stemness signature in MYCN-amplified stage 4 tumor. In addition, protein and mRNA expression are moderately correlated (r = 0.51, p n = 208), and one-third of down-regulated proteins have lower mRNA expression (n = 47). Further biological network analysis revealed that the differentially expressed proteins closely interact with other proteins of known networks; the important role of MYCN is confirmed and other transcription factors identified in the network may have potential roles in the biology of NB tumor. We used global genomic and proteomic analysis to identify biologically relevant proteins and pathways important to NB progression and development that may provide new insights into the biology of advanced neuroblastoma

Combined Chemical and Enzymatic Stable Isotope Labeling for Quantitative Profiling of Detergent-Insoluble Membrane Proteins Isolated Using Triton X-100 and Brij-96

Effective quantitative profiling of detergent-insoluble membrane proteins using high-throughput mass spectrometry (MS)-based proteomics would allow a better understanding of physiological and pathological processes that take place at the cell surface. To increase the coverage of proteins present in detergent-resistant membrane microdomains (DRMMs), a combination of 16O/18O and isotope coded affinity tags (ICAT) labeling was used in a comparative analysis of detergent-insoluble membrane proteins isolated from rat basophilic leukemia cells (RBL-2H3), with either Triton X-100 or Brij-96. The analysis resulted in the quantification of 738 unique proteins from Triton X-100 and Brij-96 isolated DRMMs, significantly exceeding the number of proteins quantified from either single labeling technique. Twenty-five noncysteine-containing proteins were quantified, as well as 32 cysteine-containing proteins that would have been missed if either 16O/18O or ICAT labeling had been used exclusively, which illustrate better proteome coverage and enhanced ability to quantitate. The comparative analysis revealed that proteins were more readily extracted using Triton X-100 than Brij-96; however, Triton X-100 also extracted larger quantities of non-DRMMs-associated proteins. This result confirms previous, targeted studies suggesting that DRMMs isolated using Triton X-100 and Brij-96 differ in their protein content. Keywords: quantitative proteomics • combined 16O/18O and ICAT stable isotopic labeling • Triton X-100 and Brij-96 detergent-insoluble membrane protein

Combined Chemical and Enzymatic Stable Isotope Labeling for Quantitative Profiling of Detergent-Insoluble Membrane Proteins Isolated Using Triton X-100 and Brij-96

Effective quantitative profiling of detergent-insoluble membrane proteins using high-throughput mass spectrometry (MS)-based proteomics would allow a better understanding of physiological and pathological processes that take place at the cell surface. To increase the coverage of proteins present in detergent-resistant membrane microdomains (DRMMs), a combination of 16O/18O and isotope coded affinity tags (ICAT) labeling was used in a comparative analysis of detergent-insoluble membrane proteins isolated from rat basophilic leukemia cells (RBL-2H3), with either Triton X-100 or Brij-96. The analysis resulted in the quantification of 738 unique proteins from Triton X-100 and Brij-96 isolated DRMMs, significantly exceeding the number of proteins quantified from either single labeling technique. Twenty-five noncysteine-containing proteins were quantified, as well as 32 cysteine-containing proteins that would have been missed if either 16O/18O or ICAT labeling had been used exclusively, which illustrate better proteome coverage and enhanced ability to quantitate. The comparative analysis revealed that proteins were more readily extracted using Triton X-100 than Brij-96; however, Triton X-100 also extracted larger quantities of non-DRMMs-associated proteins. This result confirms previous, targeted studies suggesting that DRMMs isolated using Triton X-100 and Brij-96 differ in their protein content. Keywords: quantitative proteomics • combined 16O/18O and ICAT stable isotopic labeling • Triton X-100 and Brij-96 detergent-insoluble membrane protein

Identification of the SELDI ProteinChip Human Serum Retentate by Microcapillary Liquid Chromatography-Tandem Mass Spectrometry

Surface-enhanced laser desorption/ionization (SELDI) time-of-flight (TOF) mass spectrometry (MS) has been widely applied for conducting biomarker research with the goal of discovering patterns of proteins and/or peptides from biological samples that reflect disease status. Many diseases, ranging from cancers of the colon, breast, and prostate to Alzheimer's disease, have been studied through serum protein profiling using SELDI-based methods. Although the results from SELDI-based diagnostic studies have generated a great deal of excitement and skepticism alike, the basis of the molecular identities of the features that underpin the diagnostic potential of the mass spectra is still largely unexplored. A detailed investigation has been undertaken to identify the compliment of serum proteins that bind to the commonly used weak cation exchange (WCX-2) SELDI protein chip. Following incubation and washing of a standard serum sample on the WCX-2 sorbent, proteins were harvested, digested with trypsin, fractionated by strong cation exchange liquid chromatography (LC), and subsequently analyzed by microcapillary reversed-phase LC coupled online with an ion-trap mass spectrometer. This analysis resulted in the identification of 383 unique proteins in the WCX-2 serum retentate. Among the proteins identified, 50 (13%) are documented clinical biomarkers with 36 of these (72%) identified from multiple peptides. Keywords: SELDI • biomarker • serum proteomics • multidimensional fractionation • mass spectrometr