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Orsburn, B.

Publications and source records attributed to Orsburn, B..

20 records · Page 2Linked to original sources

Bolt: A new age peptide search engine for comprehensive MS/MS sequencing through vast protein databases in minutes.

The standard platform for proteomics experiments today is mass spectrometry, particularly for samples derived from complex matrices. Recent increases in mass spectrometry sequencing speed, sensitivity and resolution now permit comprehensive coverage of even the most precious and limited samples, particularly when coupled with improvements in protein extraction techniques and chromatographic separation. However, the results obtained from laborious sample extraction and expensive instrumentation are often hindered by a sub optimal data processing pipelines. One critical data processing piece is peptide sequencing which is most commonly done through database search engines. In almost all MS/MS search engines users must limit their search space due to time constraints and q-value considerations. In nearly all experiments, the search is limited to a canonical database that typically does not reflect the individual genetic variations of the organism being studied. Searching for posttranslational modifications can exponentially increase the search space thus careful consideration must be used during the selection process. In addition, engines will nearly always assume the presence of only fully tryptic peptides. Despite these stringent parameters, proteomic data searches may take hours or even days to complete and opening even one of these criteria to more realistic biological settings will lead to detrimental increases in search time on expensive and custom data processing towers. Even on high performance servers, these search engines are computationally expensive, and most users decide to dial back their search parameters. We present Bolt, a new search engine that can search more than nine hundred thousand protein sequences (canonical, isoform, mutations, and contaminants) with 31 post translation modifications and N-terminal and C-terminal partial tryptic search in a matter of minutes on a standard configuration laptop. Along with increases in speed, Bolt provides an additional benefit of improvement in high confidence identifications, as demonstrated by manual validation of unique peptides identified by Bolt that were missed with parallel searching using standard engines. When in disagreement, 67% of peptides identified by Bolt may be manually validated by strong fragmentation patterns, compared to 14% of peptides uniquely identified by SEQUEST. Bolt represents, to the best of our knowledge, the first fully scalable, cloud based quantitative proteomic solution that can be operated within a user-friendly GUI interface. Data are available via ProteomeXchange with identifier PXD012700. Abstract Graphic O_FIG O_LINKSMALLFIG WIDTH=95 HEIGHT=200 SRC="FIGDIR/small/551622v1_ufig1.gif" ALT="Figure 1"> View larger version (34K): org.highwire.dtl.DTLVardef@8fcb0org.highwire.dtl.DTLVardef@58e02org.highwire.dtl.DTLVardef@ae5ec2org.highwire.dtl.DTLVardef@1cf5281_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioinformatics↗

Reporter Ion Data Analysis Reduction (R.I.D.A.R) for isobaric proteomics quantification studies

Isobaric labeling-based relative quantification techniques such as iTRAQ and TMT were introduced 15 years ago and are now nearly ubiquitous in shotgun proteomics labs around the world. The methods for data processing in these experiments has changed little since inception, with peptide database searching of all MS/MS spectra occurring concurrent or asynchronous to the quantification of the reporter fragment regions. In this study we present an alternative method for data processing whereby the reporter ion region of all MS/MS spectra are first examined and spectra that are not quantitatively interesting to the end user are discarded. The remaining MS/MS spectra that are retained can then be more rapidly searched for computationally expensive database alterations such as post-translational modifications and single amino acid variations in more practical time. We have termed this method Reporter Ion Data Analysis Reduction (RIDAR). To demonstrate the application of RIDAR, we reprocess a recent CPTAC 2 study containing approximately 7.8 million MS/MS spectra. Post RIDAR processing we can search this public dataset versus a human canonical FASTA database and a compiled proteogenomic database of over 875,000 known cancer mutations in a single day on a standard desktop computer, a time reduction of 85% compared to the conventional workflow. With the rapidly increasing size and density of shotgun proteomics data files, RIDAR facilitates rapid analysis of large proteomics datasets for researchers without access to high performance computational resources.\n\nAbstract Graphic\n\nO_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=115 SRC=\"FIGDIR/small/437210_ufig1.gif\" ALT=\"Figure 1\">\nView larger version (14K):\norg.highwire.dtl.DTLVardef@1bcf00eorg.highwire.dtl.DTLVardef@134510eorg.highwire.dtl.DTLVardef@1b594b4org.highwire.dtl.DTLVardef@35e268_HPS_FORMAT_FIGEXP M_FIG C_FIG

biochemistry↗