221 research outputs found

    Extractor for ESI quadrupole TOF tandem MS data enabled for high throughput batch processing

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    BACKGROUND: Mass spectrometry based proteomics result in huge amounts of data that has to be processed in real time in order to efficiently feed identification algorithms and to easily integrate in automated environments. We present wiff2dta, a tool created to convert MS/MS data obtained using Applied Biosystem's QStar and QTrap 2000 and 4000 series. RESULTS: Comparing the performance of wiff2dta with the standard tools, we find wiff2dta being the fastest solution for extracting spectrum data from ABIs raw file format. wiff2dta is at least 10% faster than the standard tools. It is also capable of batch processing and can be easily integrated in high throughput environments. The program is freely available via , and is also available from Applied Biosystems. CONCLUSIONS: wiff2dta offers the possibility to run as stand-alone application or within a batch process as command-line tool integrated in automation and high-throughput environments. It is more efficient than the state-of-the-art tools provided

    Future perspectives on in-vitro diagnosis of drug allergy by the lymphocyte transformation test

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    Acknowledgement We thank the European fund for regional development (EFRE), the German Federal State North Rhine-Westphalia (LeitmarktAgentur.NRW), Federal Institute for Drugs and Medical Devices (BfArM), and the Leibniz Institute for Analytical Sciences - ISAS-e.V. for the research project grant. The position of A.F. is financed by the research grant. Funding source The manuscript was written in context with a study related to the improvement of the lymphocyte transformation test which was funded by the European Fund for Regional Development (EFRE) and the German Federal State North Rhine-Westphalia (LeitmarktAgentur.NRW) (funding number: EFRE-0801755) and from own resources of the Federal Institute for Drugs and Medical Devices (BfArM) and the Leibniz Institute for Analytical Sciences - ISAS-e.V., Dortmund, Germany.Peer reviewedPublisher PD

    Malignant transformation in a defined genetic background: proteome changes displayed by 2D-PAGE

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    <p>Abstract</p> <p>Background</p> <p>Cancer arises from normal cells through the stepwise accumulation of genetic alterations. Cancer development can be studied by direct genetic manipulation within experimental models of tumorigenesis. Thereby, confusion by the genetic heterogeneity of patients can be circumvented. Moreover, identification of the critical changes that convert a pre-malignant cell into a metastatic, therapy resistant tumor cell, however, is one necessary step to develop effective and selective anti-cancer drugs. Thus, for the current study a cell culture model for malignant transformation was used: Primary human fibroblasts of the BJ strain were sequentially transduced with retroviral vectors encoding the genes for hTERT (cell line BJ-T), simian virus 40 early region (SV40 ER, cell line BJ-TE) and H-Ras V12 (cell line BJ-TER).</p> <p>Results</p> <p>The stepwise malignant transformation of human fibroblasts was analyzed on the protein level by differential proteome analysis. We observed 39 regulated protein spots and therein identified 67 different proteins. The strongest change of spot patterns was detected due to integration of SV40 ER. Among the proteins being significantly regulated during the malignant transformation process well known proliferating cell nuclear antigen (PCNA) as well as the chaperones mitochondrial heat shock protein 75 kDa (TRAP-1) and heat shock protein HSP90 were identified. Moreover, we find out, that TRAP-1 is already up-regulated by means of SV40 ER expression instead of H-Ras V12. Furthermore Peroxiredoxin-6 (PRDX6), Annexin A2 (p36), Plasminogen activator inhibitor 2 (PAI-2) and Keratin type II cytoskeletal 7 (CK-7) were identified to be regulated. For some protein candidates we confirmed our 2D-PAGE results by Western Blot.</p> <p>Conclusion</p> <p>These findings give further hints for intriguing interactions between the p16-RB pathway, the mitochondrial chaperone network and the cytoskeleton. In summary, using a cell culture model for malignant transformation analyzed with 2D-PAGE, proteome and cellular changes can be related to defined steps of tumorigenesis.</p

    compomics-utilities: an open-source Java library for computational proteomics

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    <p>Abstract</p> <p>Background</p> <p>The growing interest in the field of proteomics has increased the demand for software tools and applications that process and analyze the resulting data. And even though the purpose of these tools can vary significantly, they usually share a basic set of features, including the handling of protein and peptide sequences, the visualization of (and interaction with) spectra and chromatograms, and the parsing of results from various proteomics search engines. Developers typically spend considerable time and effort implementing these support structures, which detracts from working on the novel aspects of their tool.</p> <p>Results</p> <p>In order to simplify the development of proteomics tools, we have implemented an open-source support library for computational proteomics, called compomics-utilities. The library contains a broad set of features required for reading, parsing, and analyzing proteomics data. compomics-utilities is already used by a long list of existing software, ensuring library stability and continued support and development.</p> <p>Conclusions</p> <p>As a user-friendly, well-documented and open-source library, compomics-utilities greatly simplifies the implementation of the basic features needed in most proteomics tools. Implemented in 100% Java, compomics-utilities is fully portable across platforms and architectures. Our library thus allows the developers to focus on the novel aspects of their tools, rather than on the basic functions, which can contribute substantially to faster development, and better tools for proteomics.</p

    Disentangling thermal stress responses in a reef-calcifier and its photosymbionts by shotgun proteomics

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    This project was funded by the Leibniz Association (SAW-2014-ISAS-2) awarded to AS and HW and supported by the Ministerium für Kultur und Wissenschaft des Landes Nordrhein-Westfalen, the Regierende Bürgermeister von Berlin - inkl. Wissenschaft und Forschung, and the Bundesministerium für Bildung und Forschung. Sampling was conducted under the Research Permit No. FKNMS-2015–026, issued to Pamela Hallock who is warmly acknowledged for her general support and assistance during fieldwork.Peer reviewedPublisher PD
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