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Back to basics 5: Peptide-spectrum match statistics
Mascot can identify peptides in uninterpreted MS/MS data. Observed spectra are submitted to Mascot as search queries. A query specifies the precursor ion m/z and charge state as well as the MS/MS peak list. Mascot digests protein sequences from the chosen database and selects peptide sequences whose mass is within the specified tolerance of the query’s precursor mass. The software [...]
Mascot workflows in Proteome Discoverer
For many users of Thermo instruments, Proteome Discoverer (PD) is their primary user interface for database searching, and Mascot is represented by a node in the workflow. This article collects together a few tips and observations concerning Proteome Discoverer 2.3 and Mascot Server 2.6. Proteome Discoverer Configuration Under Administration; Mascot Server, the setting Max. MGF File Size [MB] has a [...]
Back to basics 4: Mascot Daemon
Mascot Daemon is a client to Mascot Server that can automate the processing of raw data to peak lists and submit multiple searches to a central Mascot Server. It is included with the Mascot Server licence and can be installed on as many computers in the lab as you like. Processing raw data files will use CPU resources, so you [...]
X!Hunter MGF libraries
Mascot 2.6 supports three file formats for spectral libraries: the NIST MSP format, the SpectraST sptxt format and the X!Hunter MGF format. The sptxt format is a variation on MSP and will be covered in a future blog post. The main functional difference between MSP and MGF is in the level of annotation. The X!Hunter MGF format is minimalistic and [...]
O-fucosylated CID spectra
O-linked fucose is easily lost in CID. A recent paper by Swearingen et al. in the Journal of Proteome Research discusses this in the context of identifying O-fucosylated thrombospondin type 1 repeats (TSRs) in Plasmodium parasites using database searching. The main problem is, the O-glycosidic bond is weaker than the peptide backbone. Collision energies typical for peptide fragmentation cause it [...]
Don’t wait: use spectral libraries now
The Human Proteome Project 2018 special issue in the Journal of Proteome Research contains a report from the 2017 Dagstuhl Seminar on Computational Proteomics. The paper by Deutsch et al. is titled Expanding the Use of Spectral Libraries in Proteomics, and the authors identify several challenges that slow down spectral library adoption. I’d like to address their main points. Adoption [...]
The plus one dilemma
There are several common modifications that can add approximately 1 Da to a peptide mass. Even if you have high accuracy data, it can sometimes be difficult to figure out which one is correct. Delta Lys->Glu substitution 0.947630 Leu->Asn or Ile->Asn substitution 0.958863 Deamidation at N or Asn->Asp substitution 0.984016 Deamidation at Q or Gln->Glu substitution 0.984016 Citrullination at [...]
Back to basics 3: Quantitation statistics
Mascot Server and Distiller support a number of different quantitation methods. These methods are carried out at the peptide level, the peptides are then grouped into protein families, and the peptide quantitation results used to calculate protein ratio values. Mascot and Distiller perform a number of statistical procedures and tests to give you an indication of the quality and reliability [...]
Mascot Server cluster mode
Most modern Intel processors have at least 4 cores and some models have 12 cores or more. Mascot Server is licenced by the CPU, where each CPU corresponds to 4 physical cores, so a single PC is perfectly sufficient for licences of 1 or 2 CPU. If you have a larger licence, there comes a point where it is not [...]
Back to Basics 2: Common mistakes
When a search on our public web fails, we are often contacted to provide some help. These are some of the common mistakes we have seen. Most of the focus here is on Peptide Mass Fingerprint (PMF) searches, which are still very popular on our public web site. If you are new to database searching, you may find this tutorial [...]
Back to Basics: Optimize your search parameters
Every now and then you need to determine good search parameters for a data set. They may be different from the normal ones you use due to a change in instrumentation, you may be analyzing data from a public resource like PRIDE/Proteome exchange or it could be data from a collaborator. Whatever the reason, here’s a quick overview on how [...]
Mascot Distiller 2.7: Farewell to re-gridding
We recently released Mascot Distiller 2.7. The main new feature of this release is a change to how peak detection works on raw profile datasets that have been saved as sparse, or compressed data, with runs of zero values dropped. Common examples of this are Thermo Orbitrap and Sciex Analyst datasets saved as profile data. For these types of data, [...]
Higher accuracy for oxidation profiles
Earlier this year, Reest et al. described a quantitation workflow based on light and heavy iodoacetamide labels, which they named SICyLIA [1]. The workflow was used for analysing cysteine oxidation levels between wild-type and redox-stressed mouse cells. At its core, SICyLIA is a precursor protocol with two components, light and heavy, where the labels are simply light and heavy carbamidomethyl on [...]
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