Methods and systems of proteome analysis and imaging
Abstract
Provided herein are methods and systems for proteome analysis that are at least partially automated and/or performed robotically. In some aspects, the methods and systems described herein can rapidly and efficiently provide protein identification of each of the proteins from a proteome, or a complement of proteins, obtained from extremely small amounts of biological samples. The identified proteins can be imaged quantitatively over a spatial region. Automation and robotics facilitates the throughput of the methods and systems, which enables protein imaging and/or rapid proteome analysis.
- Inventors:
- Issue Date:
- Research Org.:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 2222078
- Patent Number(s):
- 11719702
- Application Number:
- 15/993,949
- Assignee:
- Battelle Memorial Institute (Richland, WA)
- DOE Contract Number:
- AC05-76RL01830; P41GM103493; R21EB020976; R21HD084788; R33CA225248
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 05/31/2018
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Piehowski, Paul D., Zhu, Ying, Kelly, Ryan T., Burnum-Johnson, Kristin E., and Moore, Ronald J. Methods and systems of proteome analysis and imaging. United States: N. p., 2023.
Web.
Piehowski, Paul D., Zhu, Ying, Kelly, Ryan T., Burnum-Johnson, Kristin E., & Moore, Ronald J. Methods and systems of proteome analysis and imaging. United States.
Piehowski, Paul D., Zhu, Ying, Kelly, Ryan T., Burnum-Johnson, Kristin E., and Moore, Ronald J. Tue .
"Methods and systems of proteome analysis and imaging". United States. https://www.osti.gov/servlets/purl/2222078.
@article{osti_2222078,
title = {Methods and systems of proteome analysis and imaging},
author = {Piehowski, Paul D. and Zhu, Ying and Kelly, Ryan T. and Burnum-Johnson, Kristin E. and Moore, Ronald J.},
abstractNote = {Provided herein are methods and systems for proteome analysis that are at least partially automated and/or performed robotically. In some aspects, the methods and systems described herein can rapidly and efficiently provide protein identification of each of the proteins from a proteome, or a complement of proteins, obtained from extremely small amounts of biological samples. The identified proteins can be imaged quantitatively over a spatial region. Automation and robotics facilitates the throughput of the methods and systems, which enables protein imaging and/or rapid proteome analysis.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2023},
month = {8}
}
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