18 research outputs found

    The plasma peptides of sepsis

    No full text
    Abstract Background A practical strategy to discover sepsis specific proteins may be to compare the plasma peptides and proteins from patients in the intensive care unit with and without sepsis. The aim was to discover proteins and/or peptides that show greater observation frequency and/or precursor intensity in sepsis. The endogenous tryptic peptides of ICU-Sepsis were compared to ICU Control, ovarian cancer, breast cancer, female normal, sepsis, heart attack, Alzheimer’s and multiple sclerosis along with their institution-matched controls, female normals and normal samples collected directly onto ice. Methods Endogenous tryptic peptides were extracted from individual sepsis and control EDTA plasma samples in a step gradient of acetonitrile for random and independent sampling by LC–ESI–MS/MS with a set of robust and sensitive linear quadrupole ion traps. The MS/MS spectra were fit to fully tryptic peptides within proteins using the X!TANDEM algorithm. The protein observation frequency was counted using the SEQUEST algorithm after selecting the single best charge state and peptide sequence for each MS/MS spectra. The protein observation frequency of ICU-sepsis versus ICU Control was subsequently tested by Chi square analysis. The average protein or peptide log10 precursor intensity was compared across disease and control treatments by ANOVA in the R statistical system. Results Peptides and/or phosphopeptides of common plasma proteins such as ITIH3, SAA2, SAA1, and FN1 showed increased observation frequency by Chi square (χ2 > 9, p < 0.003) and/or precursor intensity in sepsis. Cellular gene symbols with large Chi square values from tryptic peptides included POTEB, CTNNA1, U2SURP, KIF24, NLGN2, KSR1, GTF2H1, KIT, RPS6KL1, VAV2, HSPA7, SMC2, TCEB3B, ZNF300, SUPV3L1, ADAMTS20, LAMB4, MCCC1, SUPT6H, SCN9A, SBNO1, EPHA1, ABLIM2, cB5E3.2, EPHA10, GRIN2B, HIVEP2, CCL16, TKT, LRP2 and TMF1 amongst others showed increased observation frequency. Similarly, increased frequency of tryptic phosphopeptides were observed from POM121C, SCN8A, TMED8, NSUN7, SLX4, MADD, DNLZ, PDE3B, UTY, DEPDC7, MTX1, MYO1E, RXRB, SYDE1, FN1, PUS7L, FYCO1, USP26, ACAP2, AHI1, KSR2, LMAN1, ZNF280D and SLC8A2 amongst others. Increases in mean precursor intensity in peptides from common plasma proteins such as ITIH3, SAA2, SAA1, and FN1 as well as cellular proteins such as COL24A1, POTEB, KANK1, SDCBP2, DNAH11, ADAMTS7, MLLT1, TTC21A, TSHR, SLX4, MTCH1, and PUS7L among others were associated with sepsis. The processing of SAA1 included the cleavage of the terminal peptide D/PNHFRPAGLPEKY from the most hydrophilic point of SAA1 on the COOH side of the cystatin C binding that was most apparent in ICU-Sepsis patients compared to all other diseases and controls. Additional cleavage of SAA1 on the NH2 terminus side of the cystatin binding site were observed in ICU-Sepsis. Thus there was disease associated variation in the processing of SAA1 in ICU-Sepsis versus ICU controls or other diseases and controls. Conclusion Specific proteins and peptides that vary between diseases might be discovered by the random and independent sampling of multiple disease and control plasma from different hospital and clinics by LC–ESI–MS/MS for storage in a relational SQL Server database and analysis with the R statistical system that will be a powerful tool for clinical research. The processing of SAA1 may play an unappreciated role in the inflammatory response to Sepsis

    Quantitative Statistical Analysis of Standard and Human Blood Proteins from Liquid Chromatography, Electrospray Ionization, and Tandem Mass Spectrometry

    No full text
    It will be important to determine if the parent and fragment ion intensity results of liquid chromatography, electrospray ionization and tandem mass spectrometry (LC–ESI–MS/MS) experiments have been randomly and independently sampled from a normal population for the purpose of statistical analysis by general linear models and ANOVA. The tryptic parent peptide and fragment ion <i>m</i>/<i>z</i> and intensity data in the mascot generic files from LC–ESI–MS/MS of purified standard proteins, and human blood protein fractionated by partition chromatography, were parsed into a Structured Query Language (SQL) database and were matched with protein and peptide sequences provided by the X!TANDEM algorithm. The many parent and/or fragment ion intensity values were log transformed, tested for normality, and analyzed using the generic Statistical Analysis System (SAS). Transformation of both parent and fragment intensity values by logarithmic functions yielded intensity distributions that closely approximate the log-normal distribution. ANOVA models of the transformed parent and fragment intensity values showed significant effects of treatments, proteins, and peptides, as well as parent versus fragment ion types, with a low probability of false positive results. Transformed parent and fragment intensity values were compared over all sample treatments, proteins or peptides by the Tukey-Kramer Honestly Significant Difference (HSD) test. The approach provided a complete and quantitative statistical analysis of LC–ESI–MS/MS data from human blood

    Quantitative Statistical Analysis of Standard and Human Blood Proteins from Liquid Chromatography, Electrospray Ionization, and Tandem Mass Spectrometry

    No full text
    It will be important to determine if the parent and fragment ion intensity results of liquid chromatography, electrospray ionization and tandem mass spectrometry (LC–ESI–MS/MS) experiments have been randomly and independently sampled from a normal population for the purpose of statistical analysis by general linear models and ANOVA. The tryptic parent peptide and fragment ion <i>m</i>/<i>z</i> and intensity data in the mascot generic files from LC–ESI–MS/MS of purified standard proteins, and human blood protein fractionated by partition chromatography, were parsed into a Structured Query Language (SQL) database and were matched with protein and peptide sequences provided by the X!TANDEM algorithm. The many parent and/or fragment ion intensity values were log transformed, tested for normality, and analyzed using the generic Statistical Analysis System (SAS). Transformation of both parent and fragment intensity values by logarithmic functions yielded intensity distributions that closely approximate the log-normal distribution. ANOVA models of the transformed parent and fragment intensity values showed significant effects of treatments, proteins, and peptides, as well as parent versus fragment ion types, with a low probability of false positive results. Transformed parent and fragment intensity values were compared over all sample treatments, proteins or peptides by the Tukey-Kramer Honestly Significant Difference (HSD) test. The approach provided a complete and quantitative statistical analysis of LC–ESI–MS/MS data from human blood

    Quantitative Statistical Analysis of Standard and Human Blood Proteins from Liquid Chromatography, Electrospray Ionization, and Tandem Mass Spectrometry

    No full text
    It will be important to determine if the parent and fragment ion intensity results of liquid chromatography, electrospray ionization and tandem mass spectrometry (LC–ESI–MS/MS) experiments have been randomly and independently sampled from a normal population for the purpose of statistical analysis by general linear models and ANOVA. The tryptic parent peptide and fragment ion <i>m</i>/<i>z</i> and intensity data in the mascot generic files from LC–ESI–MS/MS of purified standard proteins, and human blood protein fractionated by partition chromatography, were parsed into a Structured Query Language (SQL) database and were matched with protein and peptide sequences provided by the X!TANDEM algorithm. The many parent and/or fragment ion intensity values were log transformed, tested for normality, and analyzed using the generic Statistical Analysis System (SAS). Transformation of both parent and fragment intensity values by logarithmic functions yielded intensity distributions that closely approximate the log-normal distribution. ANOVA models of the transformed parent and fragment intensity values showed significant effects of treatments, proteins, and peptides, as well as parent versus fragment ion types, with a low probability of false positive results. Transformed parent and fragment intensity values were compared over all sample treatments, proteins or peptides by the Tukey-Kramer Honestly Significant Difference (HSD) test. The approach provided a complete and quantitative statistical analysis of LC–ESI–MS/MS data from human blood

    Quantitative Statistical Analysis of Standard and Human Blood Proteins from Liquid Chromatography, Electrospray Ionization, and Tandem Mass Spectrometry

    No full text
    It will be important to determine if the parent and fragment ion intensity results of liquid chromatography, electrospray ionization and tandem mass spectrometry (LC–ESI–MS/MS) experiments have been randomly and independently sampled from a normal population for the purpose of statistical analysis by general linear models and ANOVA. The tryptic parent peptide and fragment ion <i>m</i>/<i>z</i> and intensity data in the mascot generic files from LC–ESI–MS/MS of purified standard proteins, and human blood protein fractionated by partition chromatography, were parsed into a Structured Query Language (SQL) database and were matched with protein and peptide sequences provided by the X!TANDEM algorithm. The many parent and/or fragment ion intensity values were log transformed, tested for normality, and analyzed using the generic Statistical Analysis System (SAS). Transformation of both parent and fragment intensity values by logarithmic functions yielded intensity distributions that closely approximate the log-normal distribution. ANOVA models of the transformed parent and fragment intensity values showed significant effects of treatments, proteins, and peptides, as well as parent versus fragment ion types, with a low probability of false positive results. Transformed parent and fragment intensity values were compared over all sample treatments, proteins or peptides by the Tukey-Kramer Honestly Significant Difference (HSD) test. The approach provided a complete and quantitative statistical analysis of LC–ESI–MS/MS data from human blood

    AMP-Activated Protein Kinase Regulates the Cell Surface Proteome and Integrin Membrane Traffic

    No full text
    <div><p>The cell surface proteome controls numerous cellular functions including cell migration and adhesion, intercellular communication and nutrient uptake. Cell surface proteins are controlled by acute changes in protein abundance at the plasma membrane through regulation of endocytosis and recycling (endomembrane traffic). Many cellular signals regulate endomembrane traffic, including metabolic signaling; however, the extent to which the cell surface proteome is controlled by acute regulation of endomembrane traffic under various conditions remains incompletely understood. AMP-activated protein kinase (AMPK) is a key metabolic sensor that is activated upon reduced cellular energy availability. AMPK activation alters the endomembrane traffic of a few specific proteins, as part of an adaptive response to increase energy intake and reduce energy expenditure. How increased AMPK activity during energy stress may globally regulate the cell surface proteome is not well understood. To study how AMPK may regulate the cell surface proteome, we used cell-impermeable biotinylation to selectively purify cell surface proteins under various conditions. Using ESI-MS/MS, we found that acute (90 min) treatment with the AMPK activator A-769662 elicits broad control of the cell surface abundance of diverse proteins. In particular, A-769662 treatment depleted from the cell surface proteins with functions in cell migration and adhesion. To complement our mass spectrometry results, we used other methods to show that A-769662 treatment results in impaired cell migration. Further, A-769662 treatment reduced the cell surface abundance of β1-integrin, a key cell migration protein, and AMPK gene silencing prevented this effect. While the control of the cell surface abundance of various proteins by A-769662 treatment was broad, it was also selective, as this treatment did not change the cell surface abundance of the transferrin receptor. Hence, the cell surface proteome is subject to acute regulation by treatment with A-769662, at least some of which is mediated by the metabolic sensor AMPK.</p></div

    Inhibition of AMPK by siRNA gene silencing or by compound C prevents the reduction in cell surface β1-integrin elicited by A-769662 treatment.

    No full text
    <p>(<b><i>A-C)</i></b> RPE cells were transfected with siRNA targeting AMPK α1/2 or non-targeting (NT, control) siRNA. (<b><i>A</i></b>) Whole cell lysates were prepared and resolved by immunoblotting and probed with anti-AMPK α1/2 or anti-actin antibodies. Shown are immunoblots representative of at least 3 independent experiments. (<b><i>B</i></b>) Following siRNA transfection, cells were treated with 100 μM A-769662 for 60 min as indicated. Intact cells were labeled with an antibody specific for an exofacial epitope on β1-integrin. Shown are representative fluorescence micrographs depicting cell surface β1-integrin fluorescence. Scale = 5 μm (<b><i>C)</i></b> Cell surface β1-integrin levels obtained by fluorescence microscopy were quantified. Shown are the cell surface β1-integrin measurements in individual cells (diamonds) as well as the median ± interquartile range of these values in each treatment condition (n = 3 independent experiments). (<b><i>D</i></b>) RPE cells were treated with 100 μM A-769662 or 40 μM compound C, alone or in combination, for 60 min as indicated. Intact cells were labeled with an antibody specific for an exofacial epitope on β1-integrin. Shown are representative fluorescence micrographs depicting cell surface β1-integrin fluorescence. Scale = 5 μm (<b><i>E)</i></b> Cell surface β1-integrin levels obtained by fluorescence microscopy as in (D) were quantified. Shown are the cell surface β1-integrin measurements in individual cells (diamonds) as well as the median ± interquartile range of these values in each treatment condition (n = 3 independent experiments).</p

    AMPK activation and mass spectrometry analysis of cell surface proteins.

    No full text
    <p>(<b><i>A</i></b>) RPE cells were stimulated with 100 μM A-769662 in media containing 0.1% FBS for indicated times. Shown are representative immunoblots using antibodies as indicated. (<b><i>B</i></b>) Shown is a diagram depicting cell stimulation, surface biotinylation, purification of biotinylated proteins, mass spectrometry and peptide identification. We thus identified a total of 838 proteins within all cell surface fractions, of which 653 exhibited reduced detection in the cell surface fraction of cells treated with A-769662, 93 proteins exhibited increased cell surface abundance in cells treated with A-769662, and a further 92 were classified as exhibiting largely unaltered detection in the cell surface fraction upon AMPK activation. A complete list of identified proteins can be found in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0128013#pone.0128013.s001" target="_blank">S1 Table</a>.</p

    Proteins with cell adhesion and migration GO classification depleted from the cell surface upon A-769662 treatment.

    No full text
    <p>Shown are the 32 proteins with Cell Adhesion and Migration GO classification detected in the cell surface fraction of control but not A-769662 treated cells. Shown for each are the detected peptide counts in each of the treatment conditions.</p><p>Proteins with cell adhesion and migration GO classification depleted from the cell surface upon A-769662 treatment.</p

    Treatment with A-769662 reduces cell surface β1-integrin levels.

    No full text
    <p>(<b><i>A</i></b>) RPE cells were stimulated with 100 μM A-769662 for 90 min or left unstimulated (basal). Intact cells were labeled with an antibody specific for an exofacial epitope on β1-integrin. Shown are representative fluorescence micrographs depicting cell surface β1-integrin fluorescence. Scale = 5 μm (<b><i>B</i></b>) Cell surface β1-integrin levels obtained by fluorescence microscopy were quantified as described in <i>Materials and Methods</i> and <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0128013#pone.0128013.s009" target="_blank">S5B Fig</a>. Shown are the cell surface β1-integrin measurements in individual cells (diamonds) as well as the median ± interquartile range of these values in each treatment condition (n = 4 independent experiments). (<b><i>C</i></b>) RPE cells were stimulated with 2 mM AICAR for 90 min or left unstimulated (basal), followed by cell-surface biotinylation, purification of biotinylated proteins and immunoblotting of fractions with an antibody specific to β1-integrin. Shown is an immunoblot of cell surface β1-intergin (<i>top panel</i>, corresponding to the streptavidin pull-down), and of the corresponding intracellular β1-integrin (<i>bottom panel</i>, corresponding to the above supernatant), representative of 4 independent experiments. (<b><i>D</i></b>) Shown are representative immunoblots of whole-cell lysates prepared from cells stimulated with either 100 μM A-769662, 2 mM AICAR, 40 μM compound C (each for 90 min) or left unstimulated (control), probed with antibodies to detect total cellular β1-integrin or actin (load).</p
    corecore