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Dephosphorylation of Tyrosine 393 in Argonaute 2 by Protein Tyrosine Phosphatase 1B Regulates Gene Silencing in Oncogenic RAS-Induced Senescence
Yang, Ming; Haase, Astrid D; Huang, Fang-Ke; Coulis, Gerald; Rivera, Keith D; Dickinson, Bryan C; Chang, Christopher J; Pappin, Darryl J; Neubert, Thomas A; Hannon, Gregory J; Boivin, Benoit; Tonks, Nicholas K
Oncogenic RAS (H-RAS(V12)) induces premature senescence in primary cells by triggering production of reactive oxygen species (ROS), but the molecular role of ROS in senescence remains elusive. We investigated whether inhibition of protein tyrosine phosphatases by ROS contributed to H-RAS(V12)-induced senescence. We identified protein tyrosine phosphatase 1B (PTP1B) as a major target of H-RAS(V12)-induced ROS. Inactivation of PTP1B was necessary and sufficient to induce premature senescence in H-RAS(V12)-expressing IMR90 fibroblasts. We identified phospho-Tyr 393 of argonaute 2 (AGO2) as a direct substrate of PTP1B. Phosphorylation of AGO2 at Tyr 393 inhibited loading with microRNAs (miRNAs) and thus miRNA-mediated gene silencing, which counteracted the function of H-RAS(V12)-induced oncogenic miRNAs. Overall, our data illustrate that premature senescence in H-RAS(V12)-transformed primary cells is a consequence of oxidative inactivation of PTP1B and inhibition of miRNA-mediated gene silencing.
PMCID:4159145
PMID: 25175024
ISSN: 1097-2765
CID: 1180612
Stable isotope labeling by amino acids in cultured primary neurons
Zhang, Guoan; Deinhardt, Katrin; Neubert, Thomas A
Cultured primary neurons are a well-established model for the study of neuronal function. Conventional stable isotope labeling with amino acids in cell culture (SILAC) requires nearly complete metabolic labeling of proteins and therefore is difficult to apply to cultured primary neurons, which do not divide in culture. Here we describe a protocol that utilizes a multiplex SILAC labeling strategy for primary cultured neurons. In this strategy, two different sets of heavy amino acids are used for labeling cells for the different experimental conditions. This allows for a straightforward SILAC quantitation using partially labeled cells because the two cell populations are always equally labeled.
PMCID:4212509
PMID: 25059604
ISSN: 1064-3745
CID: 1089482
Proteome analysis reveals roles of L-DOPA in response to oxidative stress in neurons
Jami, Mohammad-Saeid; Pal, Ramavati; Hoedt, Esthelle; Neubert, Thomas A; Larsen, Jan Petter; Moller, Simon Geir
BACKGROUND: Parkinson's disease (PD) is the second most common neurodegenerative movement disorder, caused by preferential dopaminergic neuronal cell death in the substantia nigra, a process also influenced by oxidative stress. L-3,4-dihydroxyphenylalanine (L-DOPA) represents the main treatment route for motor symptoms associated with PD however, its exact mode of action remains unclear. A spectrum of conflicting data suggests that L-DOPA may damage dopaminergic neurons due to oxidative stress whilst other data suggest that L-DOPA itself may induce low levels of oxidative stress, which in turn stimulates endogenous antioxidant mechanisms and neuroprotection. RESULTS: In this study we performed a two-dimensional gel electrophoresis (2DE)-based proteomic study to gain further insight into the mechanism by which L-DOPA can influence the toxic effects of H2O2 in neuronal cells. We observed that oxidative stress affects metabolic pathways as well as cytoskeletal integrity and that neuronal cells respond to oxidative conditions by enhancing numerous survival pathways. Our study underlines the complex nature of L-DOPA in PD and sheds light on the interplay between oxidative stress and L-DOPA. CONCLUSIONS: Oxidative stress changes neuronal metabolic routes and affects cytoskeletal integrity. Further, L-DOPA appears to reverse some H2O2-mediated effects evident at both the proteome and cellular level.
PMCID:4125692
PMID: 25082231
ISSN: 1471-2202
CID: 1090382
Stable Isotope Labeling by Amino Acids in Cell Culture (SILAC) for Quantitative Proteomics
Hoedt, Esthelle; Zhang, Guoan; Neubert, Thomas A
Stable isotope labeling by amino acids in cell culture (SILAC) is a powerful approach for high-throughput quantitative proteomics. SILAC allows highly accurate protein quantitation through metabolic encoding of whole cell proteomes using stable isotope labeled amino acids. Since its introduction in 2002, SILAC has become increasingly popular. In this chapter we review the methodology and application of SILAC, with an emphasis on three research areas: dynamics of posttranslational modifications, protein-protein interactions, and protein turnover.
PMID: 24952180
ISSN: 0065-2598
CID: 1050822
Proteome Informatics Research Group (iPRG)_2012: A Study on Detecting Modified Peptides in a Complex Mixture
Chalkley, Robert J; Bandeira, Nuno; Chambers, Matthew C; Clauser, Karl R; Cottrell, John S; Deutsch, Eric W; Kapp, Eugene A; Lam, Henry H N; McDonald, W Hayes; Neubert, Thomas A; Sun, Rui-Xiang
The proteome informatics research group of the Association of Biomolecular Resource Facilities conducted a study to assess the community's ability to detect and characterize peptides bearing a range of biologically occurring post-translational modifications when present in a complex peptide background. A data set derived from a mixture of synthetic peptides with biologically occurring modifications combined with a yeast whole cell lysate as background was distributed to a large group of researchers and their results were collectively analyzed. The results from the twenty-four participants, who represented a broad spectrum of experience levels with this type of data analysis, produced several important observations. First, there is significantly more variability in the ability to assess whether a results is significant than there is to determine the correct answer. Second, labile post-translational modifications, particularly tyrosine sulfation, present a challenge for most researchers. Finally, for modification site localization there are many tools being employed, but researchers are currently unsure of the reliability of the results these programs are producing.
PMCID:3879627
PMID: 24187338
ISSN: 1535-9476
CID: 781292
Antipsychotics Activate mTORC1-Dependent Translation to Enhance Neuronal Morphological Complexity
Bowling, Heather; Zhang, Guoan; Bhattacharya, Aditi; Perez-Cuesta, Luis M; Deinhardt, Katrin; Hoeffer, Charles A; Neubert, Thomas A; Gan, Wen-Biao; Klann, Eric; Chao, Moses V
Although antipsychotic drugs can reduce psychotic behavior within a few hours, full efficacy is not achieved for several weeks, implying that there may be rapid, short-term changes in neuronal function, which are consolidated into long-lasting changes. We showed that the antipsychotic drug haloperidol, a dopamine receptor type 2 (D2R) antagonist, stimulated the kinase Akt to activate the mRNA translation pathway mediated by the mammalian target of rapamycin complex 1 (mTORC1). In primary striatal D2R-positive neurons, haloperidol-mediated activation of mTORC1 resulted in increased phosphorylation of ribosomal protein S6 (S6) and eukaryotic translation initiation factor 4E-binding protein (4E-BP). Proteomic mass spectrometry revealed marked changes in the pattern of protein synthesis after acute exposure of cultured striatal neurons to haloperidol, including increased abundance of cytoskeletal proteins and proteins associated with translation machinery. These proteomic changes coincided with increased morphological complexity of neurons that was diminished by inhibition of downstream effectors of mTORC1, suggesting that mTORC1-dependent translation enhances neuronal complexity in response to haloperidol. In vivo, we observed rapid morphological changes with a concomitant increase in the abundance of cytoskeletal proteins in cortical neurons of haloperidol-injected mice. These results suggest a mechanism for both the acute and long-term actions of antipsychotics.
PMCID:4063438
PMID: 24425786
ISSN: 1937-9145
CID: 741242
iPRG-2013: Proteome informatics research group study: Using rna-seq data to refine proteomic data analysis [Meeting Abstract]
Chalkley, R; Bandeira, N; Chambers, M C; Cottrell, J S; Deutsch, E W; Kapp, E A; Lam, H H N; Neubert, T A; Sun, R-X; Vitek, O; Weintraub, S T
The Proteome Informatics Research Group (iPRG) this year performed a study to evaluate the benefits of using databases derived from RNA-Seq data for peptide identifi-cation. The proteomic dataset provided consisted of high mass accuracy tandem mass spectra acquired when analyzing human peripheral blood mononuclear cells. A variety of different types of sequence databases were supplied. These included a standard protein sequence database; a database containing only sequences of proteins expressed in the sample based on RNA-Seq data; a database that included sequence and splice variants; a database of sequences that could not be reconciled to known expressed gene sequences. Participants were asked to report spectral identifications in the form of an Excel spreadsheet, highlighting those identifications that were only identified using one of the RNA-Seq derived specialized sequence databases. Participants were also required to complete a web-based questionnaire summarizing the tools and methods they used. Additional peptide identifications were achieved by the use of each of the different RNA-Seq derived databases, although the number of additional identifications was modest. Nevertheless, these new identifications could have potential biological significance, so this type of analysis may still be worthwhile
EMBASE:71779683
ISSN: 1524-0215
CID: 1476522
IPRG-2013: Proteome informatics research group study: Using RNA-seq data to refine proteomic data analysis [Meeting Abstract]
Chalkley, R; Bandeira, N; Chambers, M C; Cottrell, J S; Deutsch, E W; Kapp, E A; Lam, H H N; Neubert, T A; Sun, R-X; Vitek, O; Weintraub, S T
The Proteome Informatics Research Group (iPRG) this year performed a study to evaluate the benefits of using databases derived from RNA-Seq data for peptide identification. The proteomic dataset provided consisted of high mass accuracy tandem mass spectra acquired when analyzing human peripheral blood mononuclear cells. A variety of different types of sequence databases were supplied. These included a standard protein sequence database; a database containing only sequences of proteins expressed in the sam- ple based on RNA-Seq data; a database that included sequence and splice variants; a database of sequences that could not be reconciled to known expressed gene sequences. Participants were asked to report spectral identifications in the form of an Excel spreadsheet, highlighting those identifications that were only identified using one of the RNA-Seq derived specialized sequence databases. Participants were also required to complete a web-based questionnaire summarizing the tools and methods they used. Additional peptide identifications were achieved by the use of each of the different RNA-Seq derived databases, although the number of additional identifications was modest. Nevertheless, these new identifications could have potential biological significance, so this type of analysis may still be worthwhile
EMBASE:71779553
ISSN: 1524-0215
CID: 1476552
Exploring the role of conformational heterogeneity in the V1/V2 domain of HIV-1 gp120 on the immunological properties of Env immunogens [Meeting Abstract]
Pinter, Abraham; Neubert, Thomas; Burkhart, Michael; Irene, Carmela; Reichman, Charles; Honnen, William J.
ISI:000330458000046
ISSN: 1525-4135
CID: 833572
Development of a biosensor for detection of pleural mesothelioma cancer biomarker using surface imprinting
Mathur, Aabhas; Blais, Steven; Goparaju, Chandra M V; Neubert, Thomas; Pass, Harvey; Levon, Kalle
Hyaluronan-linked protein 1 (HAPLN1) which has been shown to be highly expressed in malignant pleural mesotheliomas (MPM), was detected in serum using an electrochemical surface-imprinting method. First, the detection method was optimized using Bovine serum albumin (BSA) as a model protein to mimic the optimal conditions required to imprint the similar molecular weight protein HAPLN1. BSA was imprinted on the gold electrode with hydroxyl terminated alkane thiols, which formed a self-assembled monolayer (SAM) around BSA. The analyte (BSA) was then washed away and its imprint (empty cavity with shape-memory) was used for detection of BSA in a solution, using electrochemical open-circuit potential method, namely potentiometry. Factors considered to optimize the conditions include incubation time, protein concentration, limit of detection and size of electrode. Matrix assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) was used to confirm selectivity of imprints. With the obtained imprinting control parameters, HAPLN1 was imprinted in duplicate and the detection of spiked HAPLN1 was successfully conducted in serum.
PMCID:3596364
PMID: 23516416
ISSN: 1932-6203
CID: 753322