Quantification of proteins and metabolites by mass spectrometry without isotopic labeling or spiked standards.
By Weixun Wang, Haihong Zhou, Hua Lin, Sushmita Roy, T. Shaler, Lander R Hill, S. Norton, Praveen P Kumar, Markus Anderle, C. Becker. Analytical Chemistry, 2003
633 citations recorded by the source corpus.
Subfields: Molecular Biology, Spectroscopy
View Paper: https://www.semanticscholar.org/paper/e797edc03e09bc74ff26076e152fa5e0be7cbd08
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
- David S. Wishart
- Jianguo Xia
- Alexey I. Nesvizhskii
- R. Aebersold
- Igor Sinelnikov
- R. Mandal
- Anchi Guo
- Craig Knox
In Spectroscopy
- Alexey I. Nesvizhskii
- Jianguo Xia
- David S. Wishart
- R. Aebersold
- Igor Sinelnikov
- R. Mandal
- Andrew Emili
- Jennifer Listgarten
Citations in the corpus
- Label-free, normalized quantification of complex mass spectrometry data for proteomics analysis (2009, neutral): “Stringent validation has been rather sporadic and the results and efficacy have been variable 24 , 28 - 30 .”
- Parallel Reaction Monitoring for High Resolution and High Mass Accuracy Quantitative, Targeted Proteomics* (2012, methodology): “Orbitrap, QqTOF, and QLT-FT-ICR) for targeted, quantitative measurements (61-65), QqOrbi PRM achieved, on average, 2-3-fold better run-to-run measurement precision.”
- Less label, more free: Approaches in label‐free quantitative mass spectrometry (2011, methodology): “introduced a dynamic time warping method of normalising peaks for retention time shift as a feature of their MassView software [12].”
- Interpretation of Shotgun Proteomic Data (2005, methodology): “It should also be mentioned that although the discussion here is centered on the quantitative proteomic approach based on isotopic labeling, it applies equally to semiquantitative methods based on simple peptide counts (70, 71) or on peptide ion current profiling (72, 73).”
- Statistical and Computational Methods for Comparative Proteomic Profiling Using Liquid Chromatography-Tandem Mass Spectrometry (2005, methodology): “For instance, Radulovic et al. (18) decided to round m/z values to the nearest integer, consistent with the nominal mass accuracy of the ion trap instruments used in their study, while Wang et al. and Anderle et al. (10, 20) used evenly spaced bins of width 0.2 Th to exploit the increased accuracy o”
- Identification of Proteins in Human Cytomegalovirus (HCMV) Particles: the HCMV Proteome (2004, methodology): “Abundances of the individual peptides were computed by summing the intensity of the ions from a single scan or multiple scans that matched each peptide, similar to an approach reported by Wang et al. ( 40 ).”
- Mass spectrometry-based metabolomics. (2007, methodology): “Wang et al. (2003) used a C-18 material to remove salts from serum after separating the serum metabolome from the proteome using a 5-kDa molecular cut-off filter.”
- The Human Serum Metabolome (2011, background): “In addition to these referential clinical chemistry studies, several groups have applied various ‘‘global’’ metabolomic or metabolite profiling methods, such as high resolution nuclear magnetic resonance (NMR) spectroscopy [28,29], high performance liquid chromatography (HPLC) [30], amino acid analy”