Unknown

Dataset Information

0

Accurate proteome-wide protein quantification from high-resolution 15N mass spectra.


ABSTRACT: In quantitative mass spectrometry-based proteomics, the metabolic incorporation of a single source of 15N-labeled nitrogen has many advantages over using stable isotope-labeled amino acids. However, the lack of a robust computational framework for analyzing the resulting spectra has impeded wide use of this approach. We have addressed this challenge by introducing a new computational methodology for analyzing 15N spectra in which quantification is integrated with identification. Application of this method to an Escherichia coli growth transition reveals significant improvement in quantification accuracy over previous methods.

SUBMITTER: Khan Z 

PROVIDER: S-EPMC3334617 | biostudies-literature | 2011 Dec

REPOSITORIES: biostudies-literature

altmetric image

Publications

Accurate proteome-wide protein quantification from high-resolution 15N mass spectra.

Khan Zia Z   Amini Sasan S   Bloom Joshua S JS   Ruse Cristian C   Caudy Amy A AA   Kruglyak Leonid L   Singh Mona M   Perlman David H DH   Tavazoie Saeed S  

Genome biology 20111219 12


In quantitative mass spectrometry-based proteomics, the metabolic incorporation of a single source of 15N-labeled nitrogen has many advantages over using stable isotope-labeled amino acids. However, the lack of a robust computational framework for analyzing the resulting spectra has impeded wide use of this approach. We have addressed this challenge by introducing a new computational methodology for analyzing 15N spectra in which quantification is integrated with identification. Application of t  ...[more]

Similar Datasets

| S-EPMC4593959 | biostudies-literature
| S-EPMC4160105 | biostudies-literature
| S-EPMC3946283 | biostudies-literature
| S-EPMC7057324 | biostudies-literature
| S-EPMC4442879 | biostudies-literature
| S-EPMC3317402 | biostudies-literature
| S-EPMC3711472 | biostudies-literature
| S-EPMC4033633 | biostudies-literature
| S-EPMC6886738 | biostudies-literature
| S-EPMC5984592 | biostudies-literature