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High-throughput protein production and purification at the Seattle Structural Genomics Center for Infectious Disease.

ABSTRACT: The establishment of an efficient and reliable protein-purification pipeline is essential for the success of structural genomic projects. The SSGCID Protein Purification Group at the University of Washington (UW-PPG) has established a robust protein-purification pipeline designed to purify 400 proteins per year at a rate of eight purifications per week. The pipeline was implemented using two ÄKTAexplorer 100 s and four ÄKTAprimes to perform immobilized metal-affinity chromatography (IMAC) and size-exclusion chromatography. Purifications were completed in a period of 5 d and yielded an average of 53 mg highly purified protein. This paper provides a detailed description of the methods used to purify, characterize and store SSGCID proteins. Some of the purified proteins were treated with 3C protease, which was expressed and purified by UW-PPG using a similar protocol, to cleave non-native six-histidine tags. The cleavage was successful in 94% of 214 attempts. Cleaved proteins yielded 2.9% more structures than uncleaved six-histidine-tagged proteins. This 2.9% improvement may seem small, but over the course of the project the structure output from UW-PPG is thus predicted to increase from 260 structures to 318 structures. Therefore, the outlined protocol with 3C cleavage and subtractive IMAC has been shown to be a highly efficient method for the standardized purification of recombinant proteins for structure determination via X-ray crystallography.

SUBMITTER: Bryan CM

PROVIDER: S-EPMC3169394 | biostudies-literature | 2011 Sep

REPOSITORIES: biostudies-literature

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High-throughput protein production and purification at the Seattle Structural Genomics Center for Infectious Disease.

Bryan Cassie M CM Bhandari Janhavi J Napuli Alberto J AJ Leibly David J DJ Choi Ryan R Kelley Angela A Van Voorhis Wesley C WC Edwards Thomas E TE Stewart Lance J LJ

Acta crystallographica. Section F, Structural biology and crystallization communications 20110813 Pt 9

The establishment of an efficient and reliable protein-purification pipeline is essential for the success of structural genomic projects. The SSGCID Protein Purification Group at the University of Washington (UW-PPG) has established a robust protein-purification pipeline designed to purify 400 proteins per year at a rate of eight purifications per week. The pipeline was implemented using two ÄKTAexplorer 100 s and four ÄKTAprimes to perform immobilized metal-affinity chromatography (IMAC) and si ...[more]

PMID: 21904042

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Project description:Structural genomic projects envision almost routine protein structure determinations, which are currently imaginable only for small proteins with molecular weights below 25,000 Da. For larger proteins, structural insight can be obtained by breaking them into small segments of amino acid sequences that can fold into native structures, even when isolated from the rest of the protein. Such segments are autonomously folding units (AFU) and have sizes suitable for fast structural analyses. Here, we propose to expand an intuitive procedure often employed for identifying biologically important domains to an automatic method for detecting putative folded protein fragments. The procedure is based on the recognition that large proteins can be regarded as a combination of independent domains conserved among diverse organisms. We thus have developed a program that reorganizes the output of BLAST searches and detects regions with a large number of similar sequences. To automate the detection process, it is reduced to a simple geometrical problem of recognizing rectangular shaped elevations in a graph that plots the number of similar sequences at each residue of a query sequence. We used our program to quantitatively corroborate the premise that segments with conserved sequences correspond to domains that fold into native structures. We applied our program to a test data set composed of 99 amino acid sequences containing 150 segments with structures listed in the Protein Data Bank, and thus known to fold into native structures. Overall, the fragments identified by our program have an almost 50% probability of forming a native structure, and comparable results are observed with sequences containing domain linkers classified in SCOP. Furthermore, we verified that our program identifies AFU in libraries from various organisms, and we found a significant number of AFU candidates for structural analysis, covering an estimated 5 to 20% of the genomic databases. Altogether, these results argue that methods based on sequence similarity can be useful for dissecting large proteins into small autonomously folding domains, and such methods may provide an efficient support to structural genomics projects.

Dataset Information

High-throughput protein production and purification at the Seattle Structural Genomics Center for Infectious Disease.

Publications

High-throughput protein production and purification at the Seattle Structural Genomics Center for Infectious Disease.

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