ABSTRACT
Quantitative proteomic studies, based on two-dimensional gel electrophoresis, are commonly used to find proteins that are differentially expressed between samples or groups of samples. These proteins are of interest as potential diagnostic or prognostic biomarkers, or as proteins associated with a trait. The complexity of proteomic data poses many challenges, so while experiments may reveal proteins that are differentially expressed, these are often not significant when subjected to rigorous statistical analysis. However, this can be addressed through appropriate experimental design. A good experimental design considers the impact of different sources of variation, both analytical and biological, on the statistical importance of the results. The design should address the number of samples that must be analyzed and the number of replicate gels per sample, in the context of a particular minimum difference that one is seeking to achieve. In this study, we explore the ways to improve the quality of protein expression data from 2-DE gels, and describe an approach for defining the number of samples required and the number of gels per sample. It has been developed for the simplest of situations, two groups of samples with variation at two levels: between samples and between gels. This approach will also be useful as a guide for more complex designs involving more than two groups of samples. We describe some Internet-accessible tools that can assist in the design of proteomic studies.
Subject(s)
Electrophoresis, Gel, Two-Dimensional/methods , Proteomics/methods , Algorithms , Blood Proteins/analysis , Diagnostic Imaging , Escherichia coli Proteins/analysis , Humans , Proteomics/standards , Research DesignABSTRACT
Proteomic analysis of the brain is complicated by the need to obtain cells from specific anatomical regions, or nuclei. Laser capture microdissection (LCM) is a technique that is precise enough to dissect single cells within a tissue section, and thus could be useful for isolating specific brain nuclei for analysis. However, we and others have previously demonstrated that histological staining protocols used to guide LCM have detrimental effects on protein separation by two-dimensional electrophoresis (2-DE). Here we describe a new LCM method called navigated LCM. This microdissection method uses fixed but unstained tissue as starting material and thus enables us to avoid artifacts induced by tissue staining. By comparing 2-DE results obtained from fixed, unstained LCM brain tissue samples to those obtained from manually dissected samples, we demonstrated that this microdissection process gave similar protein recovery rates and similar resolution of protein spots on 2-DE gels. Moreover, matrix-assisted laser desorption/ionization-time of flight mass spectrometry analysis of selected spots from gels derived from control and fixed, LCM samples revealed that the fixation-LCM process had no effect on protein identification. Navigated LCM of tissue sections is therefore a practical and powerful method for performing proteomic studies in specifically defined brain regions.
Subject(s)
Brain/anatomy & histology , Brain/metabolism , Microdissection/methods , Microscopy, Confocal/methods , Proteomics/methods , Animals , Electrophoresis, Gel, Two-Dimensional , Male , Nerve Tissue Proteins/metabolism , Rats , Rats, Sprague-Dawley , Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization , Staining and LabelingABSTRACT
Proteomic analysis is often performed on homogenized preparations of whole tissues, which does not provide any information about relevant biochemical changes in specific cell types. Laser-capture microdissection (LCM) is a technique that is precise enough to dissect single cells within a tissue section. Phenotypically defined cells of interest may be visualized by immunostaining prior to microdissection. Previously published immunostaining protocols adapted to LCM require the use of very high antibody titers and very short incubation times. This raises the concern that low-abundance antigens would not be detected and that antisera would be rapidly depleted. In addition, protein recovery from samples was not evaluated in most of these studies. Here, we describe an optimized immunostaining method based on immunofluorescence. By comparing two-dimensional electrophoresis (2-DE) results obtained from immunostained LCM brain tissue samples to those obtained from unstained, manually dissected samples, we demonstrated that immunofluorescent staining gave comparable protein recovery and similar resolution of protein spots on 2-DE gels. Moreover, matrix-assisted laser desorption/ionization-time of flight (MALDI-TOF) mass spectrometry analysis of selected spots from gels derived from control and immunostained LCM samples revealed that the immunostaining process had minimal effect on protein identification. LCM of immunofluorescently labeled tissue sections is a practical and powerful method to perform proteomic studies on specifically defined cell groups.
Subject(s)
Brain Chemistry , Nerve Tissue Proteins/analysis , Proteome/analysis , Proteomics/methods , Animals , Computational Biology , Corpus Striatum/chemistry , Immunohistochemistry/methods , Male , Proteomics/statistics & numerical data , Rats , Rats, Sprague-DawleyABSTRACT
We isolated a bacterial strain, Agrobacterium radiobacter P230, which can hydrolyze a wide range of organophosphate (OP) insecticides. A gene encoding a protein involved in OP hydrolysis was cloned from A. radiobacter P230 and sequenced. This gene (called opdA) had sequence similarity to opd, a gene previously shown to encode an OP-hydrolyzing enzyme in Flavobacterium sp. strain ATCC 27551 and Brevundimonas diminuta MG. Insertional mutation of the opdA gene produced a strain lacking the ability to hydrolyze OPs, suggesting that this is the only gene encoding an OP-hydrolyzing enzyme in A. radiobacter P230. The OPH and OpdA proteins, encoded by opd and opdA, respectively, were overexpressed and purified as maltose-binding proteins, and the maltose-binding protein moiety was cleaved and removed. Neither protein was able to hydrolyze the aliphatic OP malathion. The kinetics of the two proteins for diethyl OPs were comparable. For dimethyl OPs, OpdA had a higher k(cat) than OPH. It was also capable of hydrolyzing the dimethyl OPs phosmet and fenthion, which were not hydrolyzed at detectable levels by OPH.
Subject(s)
Coumaphos/analogs & derivatives , Esterases/genetics , Rhizobium/genetics , Amino Acid Sequence , Aryldialkylphosphatase , Cloning, Molecular , Coumaphos/chemistry , Coumaphos/metabolism , Esterases/metabolism , Molecular Sequence Data , Phosphoric Monoester Hydrolases/genetics , Phosphoric Monoester Hydrolases/metabolism , Sequence Homology, Amino Acid , Structure-Activity Relationship , Substrate SpecificityABSTRACT
A Pseudomonas monteilli strain (designated C11) that uses the phosphotriester coroxon as its sole phosphorus source has been isolated. Native PAGE and activity staining identified a single isozyme with significant phosphotriesterase activity in the soluble fraction of the cell. This phosphotriesterase could hydrolyse both coumaphos and coroxon. The hydrolysis product of coroxon, diethylphosphate, and the thion analogue, coumaphos, could not serve as phosphorus sources when added to the growth medium. The majority of the phosphotriesterase and phosphatase activity was contained in the soluble fraction of the cell. Phosphatase activity was inhibited by vanadate as well as by dialysis against the metal chelator, EDTA. Phosphotriesterase activity was not affected by either vanadate or dialysis with EDTA or 1,10-phenanthroline. Phosphotriesterase activity was regulated by the amounts of both phosphate and coroxon in the medium, whereas total phosphatase activity was regulated by phosphate but not coroxon. A lack of hybridisation using a probe against the opd (organophosphate degradation) gene encoding a phosphotriesterase from Flavobacterium sp. ATCC27551 against bulk DNA from P. monteilli C11 suggested that this strain does not contain opd. The work presented here indicates the presence of a novel phosphotriesterase in P. monteilli C11.
Subject(s)
Coumaphos/analogs & derivatives , Esterases/metabolism , Pseudomonas/isolation & purification , Soil Microbiology , Aryldialkylphosphatase , Biodegradation, Environmental , Coumaphos/metabolism , Culture Media , Esterases/antagonists & inhibitors , Esterases/genetics , Gene Expression Regulation, Bacterial , Insecticides/metabolism , Phosphates/metabolism , Pseudomonas/classification , Pseudomonas/enzymology , Pseudomonas/genetics , Pseudomonas/growth & development , Soil Pollutants/metabolismABSTRACT
The anatomical complexity of the brain presents a challenge for the analysis of changes in gene and protein expression. Laser-capture microdissection (LCM) is a technique that is precise enough to dissect single cells within a tissue section. Protein expression in tissues obtained by LCM has been studied by Western blot and two-dimensional (2D) gel electrophoresis. However, it is not known whether histological staining techniques interfere with protein recovery and resolution on 2D gels. The goal of this study was to determine the effects of staining procedures on protein extraction and separation. LCM samples of rat brain striatum obtained after histological staining were compared with unstained, LCM-captured tissue and fresh-frozen, unstained, manually dissected samples. Specimens subsequently underwent protein extraction and 2D gel electrophoresis under identical conditions. Our results indicated that histological staining of the tissue greatly reduced protein recovery from LCM-captured samples. However, fixation and LCM without histological staining did not significantly affect protein recovery from brain tissue. These results indicate that LCM of fixed, unstained brain tissue could be used to dissect discrete brain regions for proteomic analysis. Histological staining of neural tissue should be avoided, because it interferes with protein recovery. LCM appears to be a promising tool for the study of localized protein changes underlying brain plasticity.