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Dive into the research topics where Eric E. Niederkofler is active.

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Featured researches published by Eric E. Niederkofler.


Circulation-heart Failure | 2008

Detection of Endogenous B-Type Natriuretic Peptide at Very Low Concentrations in Patients with Heart Failure

Eric E. Niederkofler; Urban A. Kiernan; Jessica O'Rear; Santosh Menon; Syed Saghir; Andrew A. Protter; Randall W. Nelson; Ute Schellenberger

Background—The myocardium secretes B-type natriuretic peptide (BNP) in response to stimuli associated with heart failure (HF). However, high immunoreactive-BNP levels in patients with HF are associated with a paradoxical lack of natriuretic response. We hypothesized that commercially available assays for immunoreactive BNP do not reflect the bioactivity of the natriuretic peptide system, because they measure both unprocessed inactive pro-BNP and mature BNP 1-32. We describe an assay for the detection of bioactive BNP 1-32 and confirm very low concentrations in plasma from HF patients. Methods and Results—We developed a quantitative mass spectrometry immunoassay to capture endogenous BNP peptides using high affinity antibodies. Bound BNP and its truncated fragments were detected by matrix assisted laser desorption ionization–time of flight mass spectrometry based on their predicted masses. Mass spectrometry immunoassay revealed rapid in vitro degradation of BNP 1-32 in plasma, which requires plasma collection in the presence of high protease inhibitor concentrations. In 11 of 12 HF patients BNP 1-32 was detectable, ranging from 25 to 43 pg/mL. Several degraded forms of BNP were also detected at similarly low levels. In contrast, parallel measurements of immunoreactive BNP using the Biosite assay ranged from 900 to 5000 pg/mL. Conclusions—Detection of endogenous BNP 1-32 requires special preservation of plasma samples. Mass spectrometry immunoassay technology demonstrates that HF patients have low levels of BNP 1-32. Commercially available immunoreactive-BNP assays overrepresent biological activity of the natriuretic peptide system because they cannot distinguish between active and inactive forms. This observation may, in part, explain the “natriuretic paradox.”


Clinical Biochemistry | 2013

Rapid development of sensitive, high-throughput, quantitative and highly selective mass spectrometric targeted immunoassays for clinically important proteins in human plasma and serum

Bryan Krastins; Amol Prakash; David Sarracino; Dobrin Nedelkov; Eric E. Niederkofler; Urban A. Kiernan; Randall W. Nelson; Maryann Vogelsang; Gouri Vadali; Alejandra Garces; Jennifer N. Sutton; Scott Peterman; Gregory Byram; Bruno Darbouret; Joëlle R. Pérusse; Nabil G. Seidah; Benoit Coulombe; Johan Gobom; Erik Portelius; Josef Pannee; Kaj Blennow; Vathany Kulasingam; Lewis Couchman; Caje Moniz; Mary F. Lopez

OBJECTIVES The aim of this study was to develop high-throughput, quantitative and highly selective mass spectrometric, targeted immunoassays for clinically important proteins in human plasma or serum. DESIGN AND METHODS The described method coupled mass spectrometric immunoassay (MSIA), a previously developed technique for immunoenrichment on a monolithic microcolumn activated with an anti-protein antibody and fixed in a pipette tip, to selected reaction monitoring (SRM) detection and accurate quantification of targeted peptides, including clinically relevant sequence or truncated variants. RESULTS In this report, we demonstrate the rapid development of MSIA-SRM assays for sixteen different target proteins spanning seven different clinically important areas (including neurological, Alzheimers, cardiovascular, endocrine function, cancer and other diseases) and ranging in concentration from pg/mL to mg/mL. The reported MSIA-SRM assays demonstrated high sensitivity (within published clinical ranges), precision, robustness and high-throughput as well as specific detection of clinically relevant isoforms for many of the target proteins. Most of the assays were tested with bona-fide clinical samples. In addition, positive correlations, (R2 0.67-0.87, depending on the target peptide), were demonstrated for MSIA-SRM assay data with clinical analyzer measurements of parathyroid hormone (PTH) and insulin growth factor 1 (IGF1) in clinical sample cohorts. CONCLUSIONS We have presented a practical and scalable method for rapid development and deployment of MS-based SRM assays for clinically relevant proteins and measured levels of the target analytes in bona fide clinical samples. The method permits the specific quantification of individual protein isoforms and addresses the difficult problem of protein heterogeneity in clinical proteomics applications.


Molecular & Cellular Proteomics | 2006

Population Proteomics The Concept, Attributes, and Potential for Cancer Biomarker Research

Dobrin Nedelkov; Urban A. Kiernan; Eric E. Niederkofler; Kemmons A. Tubbs; Randall W. Nelson

This review outlines the concept of population proteomics and its implication in the discovery and validation of cancer-specific protein modulations. Population proteomics is an applied subdiscipline of proteomics engaging in the investigation of human proteins across and within populations to define and better understand protein diversity. Population proteomics focuses on interrogation of specific proteins from large number of individuals, utilizing top-down, targeted affinity mass spectrometry approaches to probe protein modifications. Deglycosylation, sequence truncations, side-chain residue modifications, and other modifications have been reported for myriad of proteins, yet little is know about their incidence rate in the general population. Such information can be gathered via population proteomics and would greatly aid the biomarker discovery efforts. Discovery of novel protein modifications is also expected from such large scale population proteomics, expanding the protein knowledge database. In regard to cancer protein biomarkers, their validation via population proteomics-based approaches is advantageous as mass spectrometry detection is used both in the discovery and validation process, which is essential for the detection of those structurally modified protein biomarkers.


Analytical Chemistry | 2004

High-Throughput Comprehensive Analysis of Human Plasma Proteins: A Step toward Population Proteomics

Dobrin Nedelkov; Kemmons A. Tubbs; Eric E. Niederkofler; Urban A. Kiernan; Randall W. Nelson

A high-throughput (HT) comprehensive analysis approach was developed for assaying proteins directly from human plasma. Proteins were selectively retrieved, by utilizing antibodies immobilized within affinity pipet tips, and eluted onto enzymatically active mass spectrometer targets for subsequent digestion and structural characterization. Several parameters, including uniform parallel protein elution from 96 affinity pipet tips, proper buffering for on-target digestion, termination of the digestion, and MALDI matrix (re)introduction, were evaluated and optimized. The approach was validated via parallel, high-throughput analysis of transthyretin (TTR) and transferrin (TRFE) from 96 identical plasma samples. The 96 parallel analyses for each protein were completed in less than 90 min, measured from protein extraction to insertion in the mass spectrometer. Virtually identical mass spectra were obtained from the 96 TTR analyses, characterized by the presence of 14 tryptic fragments that allowed TTR sequence mapping with 100% coverage. Database search returned TTR as the best match for all 96 data sets. In regard to the TRFE analyses, database searching using data from the 96 spectra returned TRFE as the best match for all but 1 of the spectra. TRFE was mapped with 47-69% sequence coverage, with gaps in the sequence coverage corresponding to the carbohydrate-containing peptide fragments and large and small trypsin fragments that fell outside the window of mass analysis. Overall, the combined high-throughput affinity capture-protein digestion approach showed high reproducibility and speed and yielded an exceptional level of protein characterization, suggesting its use in future population proteomics endeavors.


FEBS Letters | 2003

Detection of novel truncated forms of human serum amyloid A protein in human plasma

Urban A. Kiernan; Kemmons A. Tubbs; Dobrin Nedelkov; Eric E. Niederkofler; Randall W. Nelson

Serum amyloid A protein (SAA) is a human plasma protein that has been recognized as potential biomarker of multiple ailments including myocardial infarction, inflammatory disease and amyloiosis. Presented here is the application of a novel immunoassay technique, termed mass spectrometric immunoassay for the detection and identification of SAA present in human plasma. Results demonstrate the ability to readily detect known SAA isotypes, and to identify novel truncated forms of SAA, in the plasma of healthy individuals and those suffering from acute and chronic inflammation. The approach represents a rapid and sensitive means for the routine structural characterization of known SAA isotypes and the discovery of associated post‐translational modifications.


Biochemical and Biophysical Research Communications | 2002

Comparative phenotypic analyses of human plasma and urinary retinol binding protein using mass spectrometric immunoassay.

Urban A. Kiernan; Kemmons A. Tubbs; Dobrin Nedelkov; Eric E. Niederkofler; Randall W. Nelson

Mass spectrometric immunoassay (MSIA) is a proteomics technology that combines the selectivity of affinity capture with the sensitivity and resolution of mass spectrometric detection. This unique approach allows for intact protein identification therefore is readily capable of discriminating between protein variants, i.e., mutations, posttranslational modifications, and truncations. In this work, MSIA is used in the comparative analyses of retinol binding protein (RBP) from the plasma and urine of a small study population. Detailed RBP profiles were obtained from both biological fluids, resulting in the identification of several catabolic RBP products (present in urine) that have not been previously reported. In addition, comparative analysis of urine samples taken from healthy and renally impaired individuals revealed different breakdown profiles. These results illustrate the use of MSIA for the rapid, sensitive, and accurate profiling of RBP both within and between individuals.


The FASEB Journal | 2003

Transduction of biologically active motifs of the small heat shock-related protein HSP20 leads to relaxation of vascular smooth muscle

Charles R. Flynn; Padmini Komalavilas; Deron J. Tessier; Jeffrey S. Thresher; Eric E. Niederkofler; Catherine M. Dreiza; Randall W. Nelson; Alyssa Panitch; Lokesh Joshi; Colleen M. Brophy

Activation of cyclic nucleotide‐dependent signaling pathways leads to phosphorylation of the small heat shock‐related protein, HSP20, on serine 16, and relaxation of vascular smooth muscle. In this study, we used an enhanced protein transduction domain (PTD) sequence to deliver HSP20 phosphopeptide analogs into porcine coronary artery. The transduction of phosphoHSP20 analogs led to dose‐dependent relaxation of coronary artery smooth muscle. Peptides containing the protein transduction domain coupled to a random orientation of the same amino acids did not. Direct fluorescence microscopy of arterial rings incubated with fluorescein isothiocyanate (FITC)‐PTD or FITC‐PTD‐HSP20 peptides showed a diffuse peptide uptake. Mass spectrometric immunoassays (MSIAs) of smooth muscle homogenates were used to determine whether the phosphopeptide analogs affected the phosphorylation of endogenous HSP20. Treatment with the phosphodiesterase inhibitor papaverine led to a mass shift of 80 Da. However, there was no mass shift of HSP20 in muscles treated with phosphoHSP20 analogs. This suggests that the PTD‐phosphoHSP20 peptide alone is sufficient to inhibit force maintenance and likely has a direct effect on the target of phosphorylated HSP20. These results suggest that transduction of phosphopeptide analogs of HSP20 directly alters physiological responses of intact muscles. The data also support a direct role for phosphorylated HSP20 in mediating vasorelaxation.


Proteomics | 2014

An automated, high-throughput method for targeted quantification of intact insulin and its therapeutic analogs in human serum or plasma coupling mass spectrometric immunoassay with high resolution and accurate mass detection (MSIA-HR/AM)

Scott Peterman; Eric E. Niederkofler; David A. Phillips; Bryan Krastins; Urban A. Kiernan; Kemmons A. Tubbs; Dobrin Nedelkov; Amol Prakash; Maryann Vogelsang; Tara Schoeder; Lewis Couchman; David R Taylor; Cajetan F. Moniz; Gouri Vadali; Gregory Byram; Mary F. Lopez

The detection and quantification of insulin and its therapeutic analogs is important for medical, sports doping, and forensic applications. Synthetic variants contain slight sequence variations to affect bioavailability. To reduce sample handling bias, a universal extraction method is required for simultaneous extraction of endogenous and variant insulins with subsequent targeted quantification by LC‐MS. A mass spectrometric immunoassay (MSIA), a multiplexed assay for intact insulin and its analogues that couples immunoenrichment with high resolution and accurate mass (HR/AM) spectrometric detection across the clinical range is presented in this report. The assay is sensitive, selective, semi‐automated and can potentially be applied to detect new insulin isoforms allowing their further incorporation into second or third generation assays.


PLOS ONE | 2013

Targeted Selected Reaction Monitoring Mass Spectrometric Immunoassay for Insulin-like Growth Factor 1

Eric E. Niederkofler; David A. Phillips; Bryan Krastins; Vathany Kulasingam; Urban A. Kiernan; Kemmons A. Tubbs; Scott Peterman; Amol Prakash; Eleftherios P. Diamandis; Mary F. Lopez; Dobrin Nedelkov

Insulin-like growth factor 1 (IGF1) is an important biomarker of human growth disorders that is routinely analyzed in clinical laboratories. Mass spectrometry-based workflows offer a viable alternative to standard IGF1 immunoassays, which utilize various pre-analytical preparation strategies. In this work we developed an assay that incorporates a novel sample preparation method for dissociating IGF1 from its binding proteins. The workflow also includes an immunoaffinity step using antibody-derivatized pipette tips, followed by elution, trypsin digestion, and LC-MS/MS separation and detection of the signature peptides in a selected reaction monitoring (SRM) mode. The resulting quantitative mass spectrometric immunoassay (MSIA) exhibited good linearity in the range of 1 to 1,500 ng/mL IGF1, intra- and inter-assay precision with CVs of less than 10%, and lowest limits of detection of 1 ng/mL. The linearity and recovery characteristics of the assay were also established, and the new method compared to a commercially available immunoassay using a large cohort of human serum samples. The IGF1 SRM MSIA is well suited for use in clinical laboratories.


FEBS Letters | 2003

Detection of bound and free IGF-1 and IGF-2 in human plasma via biomolecular interaction analysis mass spectrometry

Dobrin Nedelkov; Randall W. Nelson; Urban A. Kiernan; Eric E. Niederkofler; Kemmons A. Tubbs

Insulin like growth factor (IGF)‐1 and IGF‐2 were assayed from human plasma via biomolecular interaction analysis mass spectrometry, utilizing antibodies as ligands for affinity retrieval. Detection of both targeted and non‐targeted IGFs in the mass spectra indicated possible protein complex retrieval by the individual antibodies. A series of control experiments eliminated the possibility of analyte cross‐walking between flow cells, significant antibodies cross‐reactivity, and direct IGF interactions. To disrupt the putative protein complex and release its constituent proteins, plasma samples were treated with detergents. An SDS‐treated plasma yielded IGF signals in a different ratio than the one observed in the mass spectra from the non‐treated plasma, suggesting disruption of the protein complex, and its retrieval from non‐treated plasma. Novel truncated IGF‐2 variant, missing its N‐terminal Alanine, was detected in all mass spectra.

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Bryan Krastins

Thermo Fisher Scientific

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Mary F. Lopez

Thermo Fisher Scientific

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Scott Peterman

Thermo Fisher Scientific

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Amol Prakash

Thermo Fisher Scientific

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Peter Williams

Arizona State University

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