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PRISM, a Generic Large Scale Proteomic Investigation Strategy for Mammals*S

Open access
Kislinger, Thomas, Rahman, Khaled, Radulovic, Dragan, Cox, Brian, Rossant, Janet, Emili, Andrew·2003·Molecular & Cellular Proteomics

Abstract

We have developed a systematic analytical approach, termed PRISM (Proteomic Investigation Strategy for Mammals), that permits routine, large scale protein expression profiling of mammalian cells and tissues. PRISM combines subcellular fractionation, multidimensional liquid chromatography-tandem mass spectrometry-based protein shotgun sequencing, and two newly developed computer algorithms, STATQUEST and GOClust, as a means to rapidly identify, annotate, and categorize thousands of expressed mammalian proteins. The application of PRISM to adult mouse lung and liver resulted in the high confidence identification of over 2,100 unique proteins including more than 100 integral membrane proteins, 400 nuclear proteins, and 500 uncharacterized proteins, the largest proteome study carried out to date on this important model organism. Automated clustering of the identified proteins into Gene Ontology annotation groups allowed for streamlined analysis of the large data set, revealing interesting and physiologically relevant patterns of tissue and organelle specificity. PRISM therefore offers an effective platform for in-depth investigation of complex mammalian proteomes.

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Metadata

Authors
Kislinger, T., Rahman, K., Radulovic, D., Cox, B., Rossant, J., & Emili, A.
Venue
Molecular & Cellular Proteomics
Publisher
Elsevier BV
Published
2003-02
Volume
2
Issue
2
Pages
96-106
ISSN
1535-9476 (ISSN-L)
OpenAlex
W1969782660
Cited by
160
References
2
FWCI
8.33
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: PRISM, a Generic Large Scale Proteomic Investigation Strategy for Mammals*S. https://app.cochat.ai/papers/10.1074/mcp.m200074-mcp200
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Kislinger, T., Rahman, K., Radulovic, D., Cox, B., Rossant, J., & Emili, A. (2003). PRISM, a Generic Large Scale Proteomic Investigation Strategy for Mammals*S. Molecular & Cellular Proteomics. https://doi.org/10.1074/mcp.m200074-mcp200

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.