Next-generation proteomics: towards an integrative view of proteome dynamics
By A. Altelaar, J. Muñoz, Albert J. R. Heck. Nature reviews genetics, 2012
734 citations recorded by the source corpus.
Subfields: Molecular Biology, Spectroscopy
View Paper: https://www.semanticscholar.org/paper/e422fdeac16842e51cb465eefdcfc589fdc088ed
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Molecular Biology
- Jüergen Cox
- Stefka Tyanova
- Tikira Temu
- Matthias Mann
- T. Geiger
- Marco Y. Hein
- Damian Szklarczyk
- C. von Mering
In Spectroscopy
- Jüergen Cox
- Stefka Tyanova
- Tikira Temu
- Matthias Mann
- T. Geiger
- Marco Y. Hein
- Damian Szklarczyk
- Andreas-David Brunner
Citations in the corpus
- The Perseus computational platform for comprehensive analysis of (prote)omics data (2016, background): “Here, we address this void by creating a computational platform that fulfils two potentially conflicting objectives: (1) all methods should be statistically sound, powerful and comprehensive; (2) the platform should be intuitive and easy to use for the domain expert in a biomedical discipline who is”
- Searching molecular structure databases with tandem mass spectra using CSI:FingerID (2015, background): “…harder than the fundamental analysis step in the shotgun proteomics workflow, namely, searching peptide MS/MS data in a peptide sequence database (8): Unlike proteins and peptides, metabolites show a large structural variability and, consequently, also large variations in MS/MS fragmentation.”
- Online Parallel Accumulation–Serial Fragmentation (PASEF) with a Novel Trapped Ion Mobility Mass Spectrometer (2018, positive): “Common strategies to increase spectral quality are (1) increasing the ion accumulation time for selected, isolated ions (in trappingbased instruments) or (2) summing consecutive scans (in TOF-MS).”
- Version 4.0 of PaxDb: Protein abundance data, integrated across model organisms, tissues, and cell‐lines (2015, background): “Abbreviations: FDR, false discovery rate; PaxDb, Protein Abundances Across Organisms the technical and conceptual advances in proteomics currently happen so fast that it remains a challenge to unify and critically appraise all of the data as it arrives [5–7].”