Method and apparatus for identifying proteins in mixtures

• US 7,851,742 B2
• Filed: 05/20/2005
• Issued: 12/14/2010
• Est. Priority Date: 05/20/2004
• Status: Expired due to Fees

• Current Assignee: Waters Technologies Corporation (Waters Corporation)
• Original Assignee: Waters Technologies Corporation (Waters Corporation)
• Inventors: Silva, Jeffrey Cruz, Geromanos, Scott J., Li, Guo-Zhong, Gorenstein, Marc Victor
• Primary Examiner(s): Vanore; David A
• Application Number:
  US11/596,756
• Publication Number:
  US 20080070314A1
• Time in Patent Office: 2,034 Days
• Field of Search: 250/281, 250/282, 250/284, 250/288
• US Class Current: 250/282
• CPC Class Codes: G01N 2030/8831 involving peptides or proteins
• CPC Class Codes: G01N 30/7233 interfaced to liquid or supercritical fluid chromatograph interfaces in general for introducing or extracting samples to be analysed with specially adapted mass spectrometer, see H01J49/04
• CPC Class Codes: G01N 33/6848 Methods of protein analysis involving mass spectrometry
• CPC Class Codes: G16B 15/00 ICT specially adapted for analysing two-dimensional or three-dimensional molecular structures, e.g. structural or functional relations or structure alignment
• CPC Class Codes: H01J 49/0036 Step by step routines describing the handling of the data generated during a measurement
• CPC Class Codes: H01J 49/0431 for liquid samples interfaces to liquid chromatographs G01N30/7233
• CPC Class Codes: H01J 49/426 Methods for controlling ions

Abstract

A system and method for mass analysis where a sample (102) is separated in a liquid chromatograph (104), and subsequently analyzed in a mass spectrometer (112).

Claims

1. A method for identifying proteins in a mixture, comprising:

digesting the mixture to obtain a peptide mixture;

applying the digested mixture to an LC/MS system;

applying a low-energy mode in the mass spectrometer portion of the LC/MS system;

applying a high-energy mode in the mass spectrometer portion of the LC/MS system to fragment peptide precursors derived from the peptide mixture;

obtaining mass information and retention time information from peptide precursor data acquired from the peptide precursors during the low-energy mode;

obtaining mass information and retention time information from fragment data acquired from the fragmented peptide precursors during the high-energy mode;

selecting a target peptide from a database of proteins;

determining a mass associated with a target precursor associated with the target peptide;

determining a mass associated with each Y- and B-ion corresponding to the target precursor;

comparing the mass associated with the target precursor, and the masses associated with the Y- and B-ions to the mass information related to the peptide precursor data and fragment data;

detecting mass matches resulting from the comparisons;

determining retention times of mass matches; and

identifying whether the target peptide is present in the peptide mixture based on the detected mass matches and retention times of detected mass matches.

2. The method recited in claim 1, further comprising switching between the high- and low-energy modes according to a protocol that alternates application of the high- and low-energy modes with sufficient frequency such that each of the high- and low-energy modes is applied a plurality of times during a chromatographic peak width.

3. The method recited in claim 1, further comprising creating a detection chromatogram.

4. The method recited in claim 3, further comprising adding detection Gaussian peaks corresponding to mass matches to respective retention time bins to create the detection chromatogram.

5. The method recited in claim 1, further comprising:

determining a detection threshold; and

identifying whether a peptide is present based on whether a count of mass matches in a particular retention interval exceeds the detection threshold.

6. The method recited in claim 5, further comprising:

estimating a noise floor associated with the detection threshold; and

analyzing a significance of the peptide identification based on the count and the estimate of the noise floor.

7. The method recited in claim 1, wherein the low energy mode is applied by applying a low voltage in a collision cell of the mass spectrometer portion of the LC/MS system, and the high energy mode is applied by applying a high voltage in the collision cell of the mass spectrometer portion of the LC/MS system.

8. The method recited in claim 1, further comprising selecting as the database a specialized database having proteins likely to be found in the mixture.

9. The method recited in claim 1, further comprising using peak characteristics to determine whether a particular chromatographic peak is associated with the target precursor.

10. The method recited in claim 9, wherein the peak characteristics is peak shape.

11. The method recited in claim 10, where in the peak shape includes analysis of a peak'"'"'s apex, up-slope inflection point and down-slope inflection point.

12. A system for identifying proteins in a mixture, comprising:

means for digesting the mixture to obtain a peptide mixture;

a liquid chromatograph to which the mixture is applied to separate the mixture;

a mass spectrometer to measure masses in the separated mixture output by the liquid chromatograph, the mass spectrometer, comprising;

a collision cell to fragment the peptides;

a mass analyzer to determine mass information related to fragmented and unfragmented peptides;

a database of proteins from which a target precursor is selected; and

an analysis computer, coupled to the database and an output of the mass spectrometer, having software executing thereon, for causing the computer to;

determine a mass associated with the target precursor peptide;

determine a mass associated with each Y- and B-ion corresponding to the target precursor peptide;

compare the mass associated with the target precursor peptide, and Y- and B-ions to the mass information related to the peptide data and fragment data;

detect mass matches resulting from the comparisons;

determining retention times of mass matches; and

identify whether the target peptide is present in the mixture based on the detected mass matches and retention times of detected mass matches.

13. The system recited in claim 12, wherein a high voltage is applied in the collision cell to fragment the peptides, and a low voltage is applied to provide data from the mass analyzer for the unfragmented peptides.

14. The system recited in claim 12, in which the collision cell is configured to switch between the high- and low-energy mode according to a protocol that alternates application of the high- and low-energy modes with sufficient frequency such that each of the high- and low-energy modes is applied a plurality of times during a chromatographic peak width.

15. The system recited in claim 12, wherein the computer software further causes the computer to generate a detection chromatogram.

16. The system recited in claim 15, wherein the computer software further causes the computer to add detection Gaussian peaks corresponding to mass matches to respective retention time bins to create the detection chromatogram.

17. The system recited in claim 12, wherein the computer software further causes the computer to:

determine a detection threshold; and

identify whether a peptide is present based on whether a count of mass matches in a particular retention interval exceeds the detection threshold.

18. The system recited in claim 17, wherein the computer software further causes the computer to:

estimate a noise floor associated with the detection threshold; and

analyze a significance of the peptide identification based on the count and the estimate of the noise floor.

19. The method recited in claim 12, wherein the low energy mode is applied by applying a low voltage in the collision cell of the mass spectrometer portion of the LC/MS system, and the high energy mode is applied by applying a high voltage in the collision cell of the mass spectrometer portion of the LC/MS system.

20. The system recited in claim 12, wherein the database is a specialized database having proteins likely to be found in the mixture.

21. The system recited in claim 12, wherein the computer software causes the computer to use peak characteristics to determine whether a particular chromatographic peak is associated with a target precursor.

22. The system recited in claim 21, wherein the computer software causes the computer to use the peak shape in determining whether a particular chromatographic peak is associated with a target precursor.

23. The system recited in claim 22, wherein the computer software causes the computer to analyze a peak'"'"'s apex, up-slope inflection point and down-slope inflection point.