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Biomedical subjects

David R Goodlett

Publications and source records attributed to David R Goodlett.

At least 19 recordsLinked to original sources
PubMed2006

Identification of the interactions between cytochrome P450 2E1 and cytochrome b5 by mass spectrometry and site-directed mutagenesis.

The reaction cycles of cytochrome P450s (P450) require input of two electrons. Electrostatic interactions are considered important driving forces in the association of P450s with their redox partners, which in turn facilitates the transfer of the two electrons. In this study, the cross-linking reagent, 1-ethyl-3-[3-dimethylaminopropyl]carbodiimide hydrochloride (EDC), was used to covalently link cytochrome P450 2E1 (CYP2E1) with cytochrome b(5) (b(5)) through the formation of specific amide bonds between complementary charged residue pairs. Cross-linked peptides in the resulting protein complex were distinguished from non-cross-linked peptides using an (18)O-labeling method on the basis that cross-linked peptides incorporate twice as many (18)O atoms as non-cross-linked peptides during proteolysis conducted in (18)O-water. Subsequent tandem mass spectrometric (MS/MS) analysis of the selected cross-linked peptide candidates led to the identification of two intermolecular cross-links, Lys(428)(CYP2E1)-Asp(53)(b(5)) and Lys(434)(CYP2E1)-Glu(56)(b(5)), which provides the first direct experimental evidence for the interacting orientations of a microsomal P450 and its redox partner. The biological importance of the two ion pairs for the CYP2E1-b(5) interaction, and the stimulatory effect of b(5), was confirmed by site-directed mutagenesis. Based on the characterized cross-links, a CYP2E1-b(5) complex model was constructed, leading to improved insights into the protein interaction. The described method is potentially useful for mapping the interactions of various P450 isoforms and their redox partners, because the method is relatively rapid and sensitive, and is capable of suggesting not only protein interacting regions, but also interacting orientations.

Acetaminophen↗
PubMed2006

Pro-CrossLink. Software tool for protein cross-linking and mass spectrometry.

To facilitate structural analysis of proteins and protein-protein interactions, we developed Pro-CrossLink, a suite of software tools consisting of three programs (Figure 1), DetectShift, IdentifyXLink, and AssignXLink. DetectShift was developed to detect ions of cross-linked peptide pairs in a mixture of 18O-labeled peptides obtained from protein proteolytic digests. The selected candidate ions of cross-linked peptide pairs subsequently undergo tandem mass spectrometric (MS/MS) analysis for sequence determination. Based on the masses of candidate ions as well as y- and b-type ions in the tandem mass spectra, IdentifyXLink assigns the candidate ions to cross-linked peptide pairs. For an identified cross-linked peptide pair, AssignXLink generates an extensive fragment ion list, including a-, b-, c-type, x-, y-, z-type, internal, and immonium ions with associated common losses of H2O, NH3, CO, and CO2, and facilitates a precise location of the cross-linked residues. Pro-CrossLink is automated, highly configurable by the user, and applicable to many studies that map low-resolution protein structures and molecular interfaces in protein complexes.

Amino Acid Sequence↗
PubMed2006

Proteome analysis of Halobacterium sp. NRC-1 facilitated by the biomodule analysis tool BMSorter.

To better understand the extremely halophilic archaeon Halobacterium species NRC-1, we analyzed its soluble proteome by two-dimensional liquid chromatography coupled to electrospray ionization tandem mass spectrometry. A total of 888 unique proteins were identified with a ProteinProphet probability (P) between 0.9 and 1.0. To evaluate the biochemical activities of the organism, the proteomic data were subjected to a biological network analysis using our BMSorter software. This allowed us to examine the proteins expressed in different biomodules and study the interactions between pertinent biomodules. Interestingly an integrated analysis of the enzymes in the amino acid metabolism and citrate cycle networks suggested that up to eight amino acids may be converted to oxaloacetate, fumarate, or oxoglutarate in the citrate cycle for energy production. In addition, glutamate and aspartate may be interconverted from other amino acids or synthesized from citrate cycle intermediates to meet the high demand for the acidic amino acids that are required to build the highly acidic proteome of the organism. Thus this study demonstrated that proteome analysis can provide useful information and help systems analyses of organisms.

Amino Acids↗
PubMed2005

Stromal mesenchyme cell genes of the human prostate and bladder.

BACKGROUND: Stromal mesenchyme cells play an important role in epithelial differentiation and likely in cancer as well. Induction of epithelial differentiation is organ-specific, and the genes responsible could be identified through a comparative genomic analysis of the stromal cells from two different organs. These genes might be aberrantly expressed in cancer since cancer could be viewed as due to a defect in stromal signaling. We propose to identify the prostate stromal genes by analysis of differentially expressed genes between prostate and bladder stromal cells, and to examine their expression in prostate cancer. METHODS: Immunohistochemistry using antibodies to cluster designation (CD) cell surface antigens was first used to characterize the stromas of the prostate and bladder. Stromal cells were prepared from either prostate or bladder tissue for cell culture. RNA was isolated from the cultured cells and analyzed by DNA microarrays. Expression of candidate genes in normal prostate and prostate cancer was examined by RT-PCR. RESULTS: The bladder stroma was phenotypically different from that of the prostate. Most notable was the presence of a layer of CD13+ cells adjacent to the urothelium. This structural feature was also seen in the mouse bladder. The prostate stroma was uniformly CD13-. A number of differentially expressed genes between prostate and bladder stromal cells were identified. One prostate gene, proenkephalin (PENK), was of interest because it encodes a hormone. Secreted proteins such as hormones and bioactive peptides are known to mediate cell-cell signaling. Prostate stromal expression of PENK was verified by an antibody raised against a PENK peptide, by RT-PCR analysis of laser-capture microdissected stromal cells, and by database analysis. Gene expression analysis showed that PENK expression was down-regulated in prostate cancer. CONCLUSION: Our findings show that the histologically similar stromas of the prostate and bladder are phenotypically different, and express organ-specific genes. The importance of these genes in epithelial development is suggested by their abnormal expression in cancer. Among the candidates is the hormone PENK and the down-regulation of PENK expression in cancer suggests a possible association with cancer development.

Cells, Cultured↗
PubMed2005

Evidence for the presence of disease-perturbed networks in prostate cancer cells by genomic and proteomic analyses: a systems approach to disease.

Prostate cancer is initially responsive to androgen ablation therapy and progresses to androgen-unresponsive states that are refractory to treatment. The mechanism of this transition is unknown. A systems approach to disease begins with the quantitative delineation of the informational elements (mRNAs and proteins) in various disease states. We employed two recently developed high-throughput technologies, massively parallel signature sequencing (MPSS) and isotope-coded affinity tag, to gain a comprehensive picture of the changes in mRNA levels and more restricted analysis of protein levels, respectively, during the transition from androgen-dependent LNCaP (model for early-stage prostate cancer) to androgen-independent CL1 cells (model for late-stage prostate cancer). We sequenced >5 million MPSS signatures, obtained >142,000 tandem mass spectra, and built comprehensive MPSS and proteomic databases. The integrated mRNA and protein expression data revealed underlying functional differences between androgen-dependent and androgen-independent prostate cancer cells. The high sensitivity of MPSS enabled us to identify virtually all of the expressed transcripts and to quantify the changes in gene expression between these two cell states, including functionally important low-abundance mRNAs, such as those encoding transcription factors and signal transduction molecules. These data enable us to map the differences onto extant physiologic networks, creating perturbation networks that reflect prostate cancer progression. We found 37 BioCarta and 14 Kyoto Encyclopedia of Genes and Genomes pathways that are up-regulated and 23 BioCarta and 22 Kyoto Encyclopedia of Genes and Genomes pathways that are down-regulated in LNCaP cells versus CL1 cells. Our efforts represent a significant step toward a systems approach to understanding prostate cancer progression.

Cell Line, Tumor↗
PubMed2005

Increased quantitative proteome coverage with (13)C/(12)C-based, acid-cleavable isotope-coded affinity tag reagent and modified data acquisition scheme.

Quantitative protein profiling using the isotope-coded affinity tag (ICAT) method and tandem mass spectrometry (MS) enables the pair-wise comparison of protein expression levels in biological samples. A new version of the ICAT reagent with an acid-cleavable bond, which allows removal of the biotin moiety prior to MS and which utilizes (13)C substitution for (12)C in the heavy-ICAT reagent rather than (2)H (for (1)H) as in the original reagent, was investigated. We developed and validated an MS data acquisition strategy using this new reagent that results in an increased number of protein identifications per experiment, without losing the accuracy of protein quantification. This was achieved by following a single survey (precursor) ion scan and serial collision induced dissociations (CIDs) of four different precursor ions observed in the prior survey scan. This strategy is common to many high-performance liquid chromatography-electrospray ionization (HPLC-ESI)-MS shotgun proteomic strategies, but heretofore not to ICAT experiments. This advance is possible because the new ICAT reagent uses (13)C as the "heavy" element rather than (2)H, thus, eliminating the slight delay in retention time of ICAT-labeled "light" peptides on a C18-based HPLC separation that occurs with (2)H and (1)H. Analyses using this new scheme of an ICAT-labeled trypsin-digested six protein mixture as well as a tryptic digest of a total yeast lysate, indicated that about two times more proteins were identified in a single analysis, and that there was no loss in accuracy of quantification.

Carbon↗
PubMed2005

Large-scale evaluation of quantitative reproducibility and proteome coverage using acid cleavable isotope coded affinity tag mass spectrometry for proteomic profiling.

Strategies employing non-gel based methods for quantitative proteomic profiling such as isotope coded affinity tags coupled with mass spectrometry (ICAT-MS) are gaining attention as alternatives to two-dimensional gel electrophoresis (2-DE). We have conducted a large-scale investigation to determine the degree of reproducibility and depth of proteome coverage of a typical ICAT-MS experiment by measuring protein changes in Escherichia coli treated with triclosan, an inhibitor of fatty acid biosynthesis. The entire ICAT-MS experiment was conducted on four independent occasions where more than 24 000 peptides were quantitated using an ion-trap mass spectrometer. Our results demonstrated that quantitatively, the technique provided good reproducibility (median coefficient of variation of ratios was 18.6%), and on average identified more than 450 unique proteins per experiment. However, the method was strongly biased to detect acidic proteins (pI < 7), under-represented small proteins (<10 kDa) and failed to show clear superiority over 2-DE methods in monitoring hydrophobic proteins from cell lysates.

Anti-Infective Agents, Local↗
PubMed2005

Characterization of microsomal fraction proteome in human lymphoblasts reveals the down-regulation of galectin-1 by interleukin-12.

T helper cells (Th) are divided into Th1 and Th2 subsets based upon their cytokine profiles and function. Naïve Th cells differentiate into Th1 and Th2 subsets depending on the antigens, costimulatory molecules, and cytokines they encounter. Cytokine interleukin (IL)-12 enhances the generation of Th1 lymphocytes and inhibits the production of Th2 subset. Many genes involved in Th cell differentiation have already been identified at transcriptomic level in microarray studies. In this study, isotope coded affinity tag labeling combined with chromatographic techniques and tandem mass spectrometry was used to find IL-12 regulated proteins in the microsomal fraction of Th cells. A total of 380 and 275 proteins were initially identified and quantitated in two experiments. After the high-confidence protein identifications were restricted to those where at least two different peptides were identified per protein, and these confirmed by manual inspection of the tandem mass spectra, 147 proteins remained. Of these high-confidence protein identifications 41 had at least 1.5-fold change in expression between IL-12 treated and nontreated cells. Among the differentially regulated proteins were galectin-1 (gal-1) and CD7, and their down-regulation was further corroborated with Western blotting and flow cytometry, respectively. Gal-1 and CD7 are known to interact with each other, and regulate immunity through influencing apoptosis and cytokine production. Our data indicate that IL-12 down-regulates the expression of both gal-1 and CD7 in the microsomal fraction of peripheral blood mononuclear cells and cord blood CD4(+) cells. The down-regulation of these proteins is likely to have a role in specific Th cell selection and cytokine environment creation.

Antigens, CD7↗
PubMed2005

Quantitative proteomic analysis of age-related changes in human cerebrospinal fluid.

Identification of cerebrospinal fluid (CSF) biomarkers of the common age-related neurodegenerative diseases would be of great value to clinicians because of the difficulties in differential diagnoses of these diseases in clinical practice. Proteins are one class of potential biomarkers currently under investigation in the hope that different ensembles of proteins will aid in the diagnosis of these diseases, as well as in the assessment of progression and response to therapy. However, before undertaking a rational approach to CSF protein biomarkers of age-related neurodegeneration, we must first systematically identify CSF proteins and determine whether their levels change with normal aging. In this study, we used a powerful shotgun proteomic method, two-dimensional microcapillary liquid chromatography electrospray ionization tandem mass spectrometry, to identify proteins in human CSF. Additionally, using pooled CSF samples, we quantitatively compared the CSF proteome of younger adults with that of older adults using isotope-coded affinity tags (ICAT). From these studies we identified more than 300 proteins in CSF and found that there were 30 proteins with >20% change in concentrations between older and younger individuals. Finally, we validated changes in concentration for two of these proteins using Western blots in CSF from a separate set of individuals. These data not only expand substantially our current knowledge regarding human CSF proteins, but also supply the necessary information to appropriately interpret protein biomarkers of age-related neurodegenerative diseases.

Adult↗
PubMed2005

Identification of phosphorylation sites using microimmobilized metal affinity chromatography.

One of the most important roles that mass spectrometry (MS) has played in the late twentieth and early twenty-first centuries has been to assist in the growth of knowledge of dynamic phosphorylation events. Not only has MS allowed researches to pinpoint the site of phosphorylation, but it has also enabled them to identify the kinase/phosphatase pairs responsible for regulation of a specific modification as well as to follow the functional consequences of the observed phosphorylation events on the biology of the system. For phosphorylation analysis, the important contribution of MS has been critical but not definitive. There are numerous methods that have been applied with success, yet none are generally applicable to all analyses. So, for the time being, researchers in the field must select from a panel of methods to find (de)phosphorylation events. In the work described in this chapter, a collection of integrated methods are presented. A detailed account is provided for phosphorylation capture via on- and off-line immobilized metal affinity chromatography (IMAC). This is followed by a suite of useful strategies for discovery of phosphorylation positioning through sequence determination by phosphate-specific diagnostic ion scans, including precursor and product ion scans, neutral loss scans, and in-source dissociation and post-source decay.

Amino Acid Sequence↗
PubMed2005

Proteomic identification of potential susceptibility factors in drug-induced liver disease.

Drug-induced liver disease (DILD) causes significant morbidity and mortality and impairs new drug development. Currently, no known criteria can predict whether a drug will cause DILD or what risk factors make an individual susceptible. Although it has been shown in mouse studies that the disruption of key regulatory factors, such as cyclooxygenase-2 (COX-2), interleukin (IL)-6, and IL-10, increased susceptibility to DILD caused by acetaminophen (APAP), no single factor seems to be absolute. As an approach to better understand the multifactorial basis of DILD, we compared the hepatic proteome of mice that are resistant (SJL) and susceptible (C57Bl/6) to APAP-induced liver disease (AILD), using solution-based isotope-coded affinity tag (ICAT) liquid chromatography mass spectrometry. Several novel factors were identified that were more highly expressed in the livers of SJL mice, including those involved in stress response, cell proliferation and tissue regeneration, and protein modification, implicating these proteins as potential hepatoprotective factors. There was also a selective loss of several mitochondrial proteins from the livers of the susceptible C57Bl/6 mice, suggesting that the loss of functional mitochondria may indeed play a role in AILD. These findings indicate that comparative hepatic proteomic analyses of susceptible and resistant mouse strains may provide a global approach for identifying potential risk factors and mechanistic pathways responsible for DILD.

Acetaminophen↗
PubMed2005

Pancreatic cancer proteome: the proteins that underlie invasion, metastasis, and immunologic escape.

BACKGROUND & AIMS: Pancreatic cancer is a highly lethal disease that has seen little headway in diagnosis and treatment for the past few decades. The effective treatment of pancreatic cancer is critically relying on the diagnosis of the disease at an early stage, which still remains challenging. New experimental approaches, such as quantitative proteomics, have shown great potential for the study of cancer and have opened new opportunities to investigate crucial events underlying pancreatic tumorigenesis and to exploit this knowledge for early detection and better intervention. METHODS: To systematically study protein expression in pancreatic cancer, we used isotope-coded affinity tag technology and tandem mass spectrometry to perform quantitative proteomic profiling of pancreatic cancer tissues and normal pancreas. RESULTS: A total of 656 proteins were identified and quantified in 2 pancreatic cancer samples, of which 151 were differentially expressed in cancer by at least 2-fold. This study revealed numerous proteins that are newly discovered to be associated with pancreatic cancer, providing candidates for future early diagnosis biomarkers and targets for therapy. Several differentially expressed proteins were further validated by tissue microarray immunohistochemistry. Many of the differentially expressed proteins identified are involved in protein-driven interactions between the ductal epithelium and the extracellular matrix that orchestrate tumor growth, migration, angiogenesis, invasion, metastasis, and immunologic escape. CONCLUSIONS: Our study is the first application of isotope-coded affinity tag technology for proteomic analysis of human cancer tissue and has shown the value of this technology in identifying differentially expressed proteins in cancer.

Humans↗
PubMed2005

Proteomic biomarker discovery in cerebrospinal fluid for neurodegenerative diseases.

The clinical diagnosis of major neurodegenerative disorders, e.g. Alzheimer's disease, Parkinson's disease, and dementia with Lewy body, remains unsatisfactory based on current clinical criteria and limited laboratory investigations. The possibility of identifying multiple novel biomarkers for neurodegenerative diseases, those related to disease pathogeneses in particular, has been greatly enhanced with recent advances in genomics, proteomics, and metabolomics. In this chapter, we will be reviewing a few issues related to proteomic identification of proteins in human cerebrospinal fluid (CSF) as well as unique protein markers that could be used for clinical diagnosis of various neurodegenerative diseases or monitoring their progression. Great attention has been directed to practical considerations and limitations of several major aspects of proteomic analysis of human CSF.

Apolipoproteins B↗
PubMed2004

Quantitative mass spectrometry reveals a role for the GTPase Rho1p in actin organization on the peroxisome membrane.

We have combined classical subcellular fractionation with large-scale quantitative mass spectrometry to identify proteins that enrich specifically with peroxisomes of Saccharomyces cerevisiae. In two complementary experiments, isotope-coded affinity tags and tandem mass spectrometry were used to quantify the relative enrichment of proteins during the purification of peroxisomes. Mathematical modeling of the data from 306 quantified proteins led to a prioritized list of 70 candidates whose enrichment scores indicated a high likelihood of them being peroxisomal. Among these proteins, eight novel peroxisome-associated proteins were identified. The top novel peroxisomal candidate was the small GTPase Rho1p. Although Rho1p has been shown to be tethered to membranes of the secretory pathway, we show that it is specifically recruited to peroxisomes upon their induction in a process dependent on its interaction with the peroxisome membrane protein Pex25p. Rho1p regulates the assembly state of actin on the peroxisome membrane, thereby controlling peroxisome membrane dynamics and biogenesis.

Actins↗
PubMed2004

System-based proteomic analysis of the interferon response in human liver cells.

BACKGROUND: Interferons (IFNs) play a critical role in the host antiviral defense and are an essential component of current therapies against hepatitis C virus (HCV), a major cause of liver disease worldwide. To examine liver-specific responses to IFN and begin to elucidate the mechanisms of IFN inhibition of virus replication, we performed a global quantitative proteomic analysis in a human hepatoma cell line (Huh7) in the presence and absence of IFN treatment using the isotope-coded affinity tag (ICAT) method and tandem mass spectrometry (MS/MS). RESULTS: In three subcellular fractions from the Huh7 cells treated with IFN (400 IU/ml, 16 h) or mock-treated, we identified more than 1,364 proteins at a threshold that corresponds to less than 5% false-positive error rate. Among these, 54 were induced by IFN and 24 were repressed by more than two-fold, respectively. These IFN-regulated proteins represented multiple cellular functions including antiviral defense, immune response, cell metabolism, signal transduction, cell growth and cellular organization. To analyze this proteomics dataset, we utilized several systems-biology data-mining tools, including Gene Ontology via the GoMiner program and the Cytoscape bioinformatics platform. CONCLUSIONS: Integration of the quantitative proteomics with global protein interaction data using the Cytoscape platform led to the identification of several novel and liver-specific key regulatory components of the IFN response, which may be important in regulating the interplay between HCV, interferon and the host response to virus infection.

Cell Line, Tumor↗
PubMed2004

Analysis of alpha-synuclein-associated proteins by quantitative proteomics.

To identify the proteins associated with soluble alpha-synuclein (AS) that might promote AS aggregation, a key event leading to neurodegeneration, we quantitatively compared protein profiles of AS-associated protein complexes in MES cells exposed to rotenone, a pesticide that produces parkinsonism in animals and induces Lewy body (LB)-like inclusions in the remaining dopaminergic neurons, and to vehicle. We identified more than 250 proteins associated with Nonidet P-40 soluble AS, and demonstrated that at least 51 of these proteins displayed significant differences in their relative abundance in AS complexes under conditions where rotenone was cytotoxic and induced formation of cytoplasmic inclusions immunoreactive to anti-AS. Overexpressing one of these proteins, heat shock protein (hsp) 70, not only protected cells from rotenone-mediated cytotoxicity but also decreased soluble AS aggregation. Furthermore, the protection afforded by hsp70 transfection appeared to be related to suppression of rotenone-induced oxidative stress as well as mitochondrial and proteasomal dysfunction.

Amino Acid Sequence↗
PubMed2004

Optimization of reversed-phase microcapillary liquid chromatography for quantitative proteomics.

Currently, the field of shotgun proteomics relies primarily on the separation of peptides by reversed-phase microcapillary chromatography (RP-microLC) combined with either electrospray ionization (ESI) or matrix-assisted laser desorption ionization (MALDI) and tandem mass spectrometry (MS/MS) for protein identification as well as quantification. For this purpose we herein describe construction of a RP-microLC-ESI column-emitter along with optimized microLC conditions for using the device to quantify pair-wise changes in protein expression via the isotope coded affinity tag (ICAT) method that also maximize peak capacity. These optimized RP-microLC parameters required a balance be reached between the disparate needs of quantification which requires good peak shape and identification (i.e. proteome coverage) of proteins via peptide collision induced dissociation (CID) which requires peak capacity be maximized. A complex biological sample from a study of murine acetaminophen toxicity in hepatocyes was chosen for method development because of the high level complexity, but the biological results are not the focus of this manuscript.

Amino Acid Sequence↗