Literature DB >> 20967315

Mass spectrometry at the interface of proteomics and genomics.

Karsten Krug1, Sven Nahnsen, Boris Macek.   

Abstract

With the onset of modern DNA sequencing technologies, genomics is experiencing a revolution in terms of quantity and quality of sequencing data. Rapidly growing numbers of sequenced genomes and metagenomes present a tremendous challenge for bioinformatics tools that predict protein-coding regions. Experimental evidence of expressed genomic regions, both at the RNA and protein level, is becoming invaluable for genome annotation and training of gene prediction algorithms. Evidence of gene expression at the protein level using mass spectrometry-based proteomics is increasingly used in refinement of raw genome sequencing data. In a typical "proteogenomics" experiment, the whole proteome of an organism is extracted, digested into peptides and measured by a mass spectrometer. The peptide fragmentation spectra are identified by searching against a six-frame translation of the raw genomic assembly, thus enabling the identification of hitherto unpredicted protein-coding genomic regions. Application of mass spectrometry to genome annotation presents a range of challenges to the standard workflows in proteomics, especially in terms of proteome coverage and database search strategies. Here we provide an overview of the field and argue that the latest mass spectrometry technologies that enable high mass accuracy at high acquisition rates will prove to be especially well suited for proteogenomics applications.

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Year:  2010        PMID: 20967315     DOI: 10.1039/c0mb00168f

Source DB:  PubMed          Journal:  Mol Biosyst        ISSN: 1742-2051


  18 in total

1.  HiRIEF LC-MS enables deep proteome coverage and unbiased proteogenomics.

Authors:  Rui M M Branca; Lukas M Orre; Henrik J Johansson; Viktor Granholm; Mikael Huss; Åsa Pérez-Bercoff; Jenny Forshed; Lukas Käll; Janne Lehtiö
Journal:  Nat Methods       Date:  2013-11-17       Impact factor: 28.547

Review 2.  Methods, Tools and Current Perspectives in Proteogenomics.

Authors:  Kelly V Ruggles; Karsten Krug; Xiaojing Wang; Karl R Clauser; Jing Wang; Samuel H Payne; David Fenyö; Bing Zhang; D R Mani
Journal:  Mol Cell Proteomics       Date:  2017-04-29       Impact factor: 5.911

Review 3.  Emerging evidence for functional peptides encoded by short open reading frames.

Authors:  Shea J Andrews; Joseph A Rothnagel
Journal:  Nat Rev Genet       Date:  2014-02-11       Impact factor: 53.242

Review 4.  Electron transfer dissociation mass spectrometry in proteomics.

Authors:  Min-Sik Kim; Akhilesh Pandey
Journal:  Proteomics       Date:  2012-01-23       Impact factor: 3.984

5.  Deep coverage of the Escherichia coli proteome enables the assessment of false discovery rates in simple proteogenomic experiments.

Authors:  Karsten Krug; Alejandro Carpy; Gesa Behrends; Katarina Matic; Nelson C Soares; Boris Macek
Journal:  Mol Cell Proteomics       Date:  2013-08-01       Impact factor: 5.911

Review 6.  Cancer proteogenomics: current impact and future prospects.

Authors:  D R Mani; Karsten Krug; Bing Zhang; Shankha Satpathy; Karl R Clauser; Li Ding; Matthew Ellis; Michael A Gillette; Steven A Carr
Journal:  Nat Rev Cancer       Date:  2022-03-02       Impact factor: 60.716

7.  Brain proteomics of Anopheles gambiae.

Authors:  Sutopa B Dwivedi; Babylakshmi Muthusamy; Praveen Kumar; Min-Sik Kim; Raja Sekhar Nirujogi; Derese Getnet; Priscilla Ahiakonu; Gourav De; Bipin Nair; Harsha Gowda; T S Keshava Prasad; Nirbhay Kumar; Akhilesh Pandey; Mobolaji Okulate
Journal:  OMICS       Date:  2014-06-17

8.  N-Terminal-oriented proteogenomics of the marine bacterium roseobacter denitrificans Och114 using N-Succinimidyloxycarbonylmethyl)tris(2,4,6-trimethoxyphenyl)phosphonium bromide (TMPP) labeling and diagonal chromatography.

Authors:  Céline Bland; Erica M Hartmann; Joseph A Christie-Oleza; Bernard Fernandez; Jean Armengaud
Journal:  Mol Cell Proteomics       Date:  2014-02-16       Impact factor: 5.911

9.  PaxDb, a database of protein abundance averages across all three domains of life.

Authors:  M Wang; M Weiss; M Simonovic; G Haertinger; S P Schrimpf; M O Hengartner; C von Mering
Journal:  Mol Cell Proteomics       Date:  2012-04-24       Impact factor: 5.911

10.  Genomic evaluation of Thermoanaerobacter spp. for the construction of designer co-cultures to improve lignocellulosic biofuel production.

Authors:  Tobin J Verbeke; Xiangli Zhang; Bernard Henrissat; Vic Spicer; Thomas Rydzak; Oleg V Krokhin; Brian Fristensky; David B Levin; Richard Sparling
Journal:  PLoS One       Date:  2013-03-26       Impact factor: 3.240

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