Literature DB >> 22954629

MaConDa: a publicly accessible mass spectrometry contaminants database.

Ralf J M Weber1, Eva Li, Jonathan Bruty, Shan He, Mark R Viant.   

Abstract

UNLABELLED: Mass spectrometry is widely used in bioanalysis, including the fields of metabolomics and proteomics, to simultaneously measure large numbers of molecules in complex biological samples. Contaminants routinely occur within these samples, for example, originating from the solvents or plasticware. Identification of these contaminants is crucial to enable their removal before data analysis, in particular to maintain the validity of conclusions drawn from uni- and multivariate statistical analyses. Although efforts have been made to report contaminants within mass spectra, this information is fragmented and its accessibility is relatively limited. In response to the needs of the bioanalytical community, here we report the creation of an extensive manually well-annotated database of currently known small molecule contaminants. AVAILABILITY: The Mass spectrometry Contaminants Database (MaConDa) is freely available and accessible through all major browsers or by using the MaConDa web service http://www.maconda.bham.ac.uk.

Mesh:

Year:  2012        PMID: 22954629     DOI: 10.1093/bioinformatics/bts527

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  13 in total

1.  Determining conserved metabolic biomarkers from a million database queries.

Authors:  Michael E Kurczy; Julijana Ivanisevic; Caroline H Johnson; Winnie Uritboonthai; Linh Hoang; Mingliang Fang; Matthew Hicks; Anthony Aldebot; Duane Rinehart; Lisa J Mellander; Ralf Tautenhahn; Gary J Patti; Mary E Spilker; H Paul Benton; Gary Siuzdak
Journal:  Bioinformatics       Date:  2015-08-13       Impact factor: 6.937

2.  Many InChIs and quite some feat.

Authors:  Wendy A Warr
Journal:  J Comput Aided Mol Des       Date:  2015-06-17       Impact factor: 3.686

3.  Rapid Assessment of Contaminants and Interferences in Mass Spectrometry Data Using Skyline.

Authors:  Matthew J Rardin
Journal:  J Am Soc Mass Spectrom       Date:  2018-04-17       Impact factor: 3.109

4.  Insight into the Mechanism of Graphene Oxide Degradation via the Photo-Fenton Reaction.

Authors:  Hao Bai; Wentao Jiang; Gregg P Kotchey; Wissam A Saidi; Benjamin J Bythell; Jacqueline M Jarvis; Alan G Marshall; Renã A S Robinson; Alexander Star
Journal:  J Phys Chem C Nanomater Interfaces       Date:  2014-04-15       Impact factor: 4.126

5.  Direct infusion mass spectrometry metabolomics dataset: a benchmark for data processing and quality control.

Authors:  Jennifer A Kirwan; Ralf J M Weber; David I Broadhurst; Mark R Viant
Journal:  Sci Data       Date:  2014-06-10       Impact factor: 6.444

Review 6.  From chromatogram to analyte to metabolite. How to pick horses for courses from the massive web resources for mass spectral plant metabolomics.

Authors:  Leonardo Perez de Souza; Thomas Naake; Takayuki Tohge; Alisdair R Fernie
Journal:  Gigascience       Date:  2017-07-01       Impact factor: 6.524

7.  Application of Passive Sampling to Characterise the Fish Exometabolome.

Authors:  Mark R Viant; Jessica Elphinstone Davis; Cathleen Duffy; Jasper Engel; Craig Stenton; Marion Sebire; Ioanna Katsiadaki
Journal:  Metabolites       Date:  2017-02-14

8.  Lipidomics of Thalassiosira pseudonana under Phosphorus Stress Reveal Underlying Phospholipid Substitution Dynamics and Novel Diglycosylceramide Substitutes.

Authors:  Jonathan E Hunter; Joost Brandsma; Marcus K Dymond; Grielof Koster; C Mark Moore; Anthony D Postle; Rachel A Mills; George S Attard
Journal:  Appl Environ Microbiol       Date:  2018-03-01       Impact factor: 4.792

9.  Proteomic profiling of the thrombin-activated canine platelet secretome (CAPS).

Authors:  Signe E Cremer; James L Catalfamo; Robert Goggs; Stefan E Seemann; Annemarie T Kristensen; Marjory B Brooks
Journal:  PLoS One       Date:  2019-11-13       Impact factor: 3.240

Review 10.  Determination of antiprotozoal drug mechanisms by metabolomics approaches.

Authors:  Darren J Creek; Michael P Barrett
Journal:  Parasitology       Date:  2013-06-05       Impact factor: 3.234

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