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Featured researches published by Peter T. Beernink.


Archive | 2007

Applications of Functional Protein Microarrays

Matthew A. Coleman; Peter T. Beernink; Julio A. Camarero; Joanna S. Albala

The use of protein arrays and their importance in proteomic applications continues to be at the forefront of scientific discovery and innovative technology development. To date, array-based approaches have proven to be a powerful tool for protein expression profiling, novel biomarker discovery, and the examination of protein, DNA, and small molecule interactions. Our laboratory has developed several approaches for characterizing protein-protein interactions using protein microarrays for a variety of different biological applications. Here we describe the identification of protein-protein interactions using a microarray format.


The Scientific World Journal | 2002

Application of In Vitro Protein Expression to Human Prote

Peter T. Beernink; Simone S. Krupka; Victoria Lao; George Martin; Matthew A. Coleman

INTRODUCTION. A critical step in many proteomics projects is the identification of genes that express proteins in sufficient quantities for subsequent studies. LLNL houses a collection of >200,000 human cDNAs, known as the IMAGE Consortium (http://image.llnl.gov)[1], including some full-length enriched cDNA libraries. We have developed an integrated system that exploits coupled in vitro transcription/translation (IVT) to identify human IMAGE cDNAs that express proteins of the predicted mass. Moreover, this expression screening can be conducted without plasmid DNA preparation or subcloning. IVT-produced proteins are used directly in functional assays or the cDNAs are transported to a bacterial expression system for large-scale protein production.


Archive | 2003

Application of Cell-free Expression Systems to Proteomic Studies

Peter T. Beernink; Brent W. Segelke; Matthew A. Coleman

The promise of proteomics is to identify and characterize the physical and functional properties of proteins and protein complexes in parallel. Many proteomics efforts require the production of large numbers of purified proteins for biochemical or physical analyses. In particular, structural proteomics requires milligram quantities of highly purified proteins. However it has been established by pilot studies that soluble protein expression is one of the bottlenecks in structural proteomics processes (Fig. 12.1) [1]. Many proteins are inherently poorly expressed, insoluble, cytotoxic or subject to proteolysis, which results in low soluble expression in vivo. Cell-free protein expression strategies can overcome some of these problems and yield a larger number of expressed proteins [2]. Cell-free expression can also be used to identify rapidly well-expressed proteins and to obtain proteins for biochemical and structural studies.


Rendiconti Lincei-scienze Fisiche E Naturali | 2006

Binding of bisubstrate analog promotes large structural changes in the unregulated catalytic trimer of aspartate transcarbamoylase: Implications for allosteric regulation

Tom Alber; James A. Endrizzi; Howard K. Schachman; Peter T. Beernink

A central problem in understanding enzyme regulation is to define the conformational states that account for allosteric changes in catalytic activity. ForEscherichia coli aspartate transcarbamoylase (ATCase; EC 2.1.3.2) the active, relaxed (R state) holoenzyme is generally assumed to be represented by the crystal structure of the complex of the holoenzyme with the bisubstrate analogN-phosphonacetyl-L-aspartate (PALA). It is unclear, however, which conformational differences between the unliganded, inactive, taut (T state) holoenzyme and the PALA complex are attributable to localized effects of inhibitor binding as contrasted to the allosteric transition. To define the conformational changes in the isolated, nonallosteric C trimer resulting from the binding of PALA, we determined the 1.95-Å resolution crystal structure of the C trimer-PALA complex. In contrast to the free C trimer, the PALA-bound trimer exhibits approximate threefold symmetry. Conformational changes in the C trimer upon PALA binding include ordering of two active site loops and closure of the hinge relating the N- and C-terminal domains. The C trimer-PALA structure closely resembles the liganded C subunits in the PALA-bound holoenzyme. This similarity suggests that the pronounced hinge closure and other changes promoted by PALA binding to the holoenzyme are stabilized by ligand binding. Consequently, the conformational changes attributable to the allosteric transition of the holoenzyme remain to be defined.


Journal of Molecular Biology | 2001

Two divalent metal ions in the active site of a new crystal form of human apurinic/apyrimidinic endonuclease, ape1: implications for the catalytic mechanism

Peter T. Beernink; Brent W. Segelke; Masood Z. Hadi; Jan P Erzberger; David M. Wilson; Bernhard Rupp


Journal of Proteome Research | 2004

High-Throughput, Fluorescence-Based Screening for Soluble Protein Expression

Matthew A. Coleman; V. H. Lao; Brent W. Segelke; Peter T. Beernink


Proceedings of the National Academy of Sciences of the United States of America | 1999

Assessment of the allosteric mechanism of aspartate transcarbamoylase based on the crystalline structure of the unregulated catalytic subunit

Peter T. Beernink; James A. Endrizzi; Tom Alber; Howard K. Schachman


Proteomics | 2003

Identification of chromatin-related protein interactions using protein microarrays

Matthew A. Coleman; Kristi A. Miller; Peter T. Beernink; Daniel M. Yoshikawa; Joanna S. Albala


Proceedings of the National Academy of Sciences of the United States of America | 2000

Binding of bisubstrate analog promotes large structural changes in the unregulated catalytic trimer of aspartate transcarbamoylase: implications for allosteric regulation induced cell migration.

James A. Endrizzi; Peter T. Beernink; Tom Alber; Howard K. Schachman


Methods of Molecular Biology | 2007

Applications of functional protein microarrays: identifying protein-protein interactions in an array format.

Matthew A. Coleman; Peter T. Beernink; Julio A. Camarero; Joanna S. Albala

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Matthew A. Coleman

Lawrence Livermore National Laboratory

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Brent W. Segelke

Lawrence Livermore National Laboratory

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Joanna S. Albala

Lawrence Livermore National Laboratory

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Tom Alber

University of California

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David M. Wilson

Lawrence Livermore National Laboratory

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Jan P Erzberger

Lawrence Livermore National Laboratory

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Julio A. Camarero

Lawrence Livermore National Laboratory

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Masood Z. Hadi

Lawrence Livermore National Laboratory

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