Pub Date : 2008-01-01DOI: 10.1007/978-1-60327-148-6_10
Huong Le, Marcus Hinchcliffe, Bing Yu, Ronald J A Trent
DNA sequencing is increasingly used in a range of medical activities involving DNA diagnostics and research. This is the result of improving technology and cheaper costs. Paradoxically, a greater demand for DNA sequencing has placed additional work on the laboratory because sequencing profiles must be checked visually despite the availability of informatics-based tools in interpreting DNA sequence traces. In this environment it is essential to have more sophisticated software that will allow the sites of known and unknown DNA variants to be quickly identified, as well as providing an objective assessment of quality for the DNA sequence generated. This chapter describes the Applied Biosystems SeqScape software program (version 2.5) and how it has assisted in the interpretation of DNA sequencing in a DNA diagnostic laboratory.
{"title":"Computer-assisted reading of DNA sequences.","authors":"Huong Le, Marcus Hinchcliffe, Bing Yu, Ronald J A Trent","doi":"10.1007/978-1-60327-148-6_10","DOIUrl":"https://doi.org/10.1007/978-1-60327-148-6_10","url":null,"abstract":"<p><p>DNA sequencing is increasingly used in a range of medical activities involving DNA diagnostics and research. This is the result of improving technology and cheaper costs. Paradoxically, a greater demand for DNA sequencing has placed additional work on the laboratory because sequencing profiles must be checked visually despite the availability of informatics-based tools in interpreting DNA sequence traces. In this environment it is essential to have more sophisticated software that will allow the sites of known and unknown DNA variants to be quickly identified, as well as providing an objective assessment of quality for the DNA sequence generated. This chapter describes the Applied Biosystems SeqScape software program (version 2.5) and how it has assisted in the interpretation of DNA sequencing in a DNA diagnostic laboratory.</p>","PeriodicalId":18460,"journal":{"name":"Methods in molecular medicine","volume":"141 ","pages":"177-97"},"PeriodicalIF":0.0,"publicationDate":"2008-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/978-1-60327-148-6_10","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"27418340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-01-01DOI: 10.1007/978-1-59745-246-5_6
W Scott Champney
The inhibition of bacterial ribosomal subunit formation is a novel target for translational inhibitors. Inhibition of subunit biogenesis has been shown to be equivalent to the inhibition of protein biosynthesis for many antibiotics. This chapter describes three methods for examining the inhibition of subunit formation in growing bacterial cells. The first method permits the determination of the IC50 value for inhibition of assembly and protein synthesis. The second is a pulse and chase labeling procedure to measure the kinetics of subunit formation. The third procedure allows an examination of ribosome reformation after antibiotic removal as a part of the post-antibiotic effect. Together these procedures give a description of the relative inhibitory effects of an antibiotic on translation and subunit formation.
{"title":"Three methods to assay inhibitors of ribosomal subunit assembly.","authors":"W Scott Champney","doi":"10.1007/978-1-59745-246-5_6","DOIUrl":"https://doi.org/10.1007/978-1-59745-246-5_6","url":null,"abstract":"<p><p>The inhibition of bacterial ribosomal subunit formation is a novel target for translational inhibitors. Inhibition of subunit biogenesis has been shown to be equivalent to the inhibition of protein biosynthesis for many antibiotics. This chapter describes three methods for examining the inhibition of subunit formation in growing bacterial cells. The first method permits the determination of the IC50 value for inhibition of assembly and protein synthesis. The second is a pulse and chase labeling procedure to measure the kinetics of subunit formation. The third procedure allows an examination of ribosome reformation after antibiotic removal as a part of the post-antibiotic effect. Together these procedures give a description of the relative inhibitory effects of an antibiotic on translation and subunit formation.</p>","PeriodicalId":18460,"journal":{"name":"Methods in molecular medicine","volume":"142 ","pages":"63-73"},"PeriodicalIF":0.0,"publicationDate":"2008-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/978-1-59745-246-5_6","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"27404315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-01-01DOI: 10.1007/978-1-59745-246-5_8
Letizia Brandi, John Dresios, Claudio O Gualerzi
While bacterial protein synthesis is the target of about half of the known antibiotics, the great structural-functional complexity of the translational machinery still offers remarkable opportunities for identifying novel and specific inhibitors of unexploited targets. We designed a knowledge-based in vitro translation assay to identify inhibitors selectively targeting the bacterial or the yeast translational apparatus, preferentially blocking the early steps of protein synthesis. Using a natural-like, "universal" model mRNA and cell-free extracts prepared from Eschericha coli, Saccharomyces cerevisiae, and HeLa cells, we were able to translate, with comparable yields in the three systems, the immunogenic peptide encoded by this "universal" mRNA. The immuno-enzymatic quantification of the translated peptide in the presence of a potential inhibitor can identify a selective bacterial or fungal inhibitor inactive in the human system. When applied to the high-throughput screening (HTS) of a library of approximately 25,000 natural products, this assay led to the identification of two novel and specific inhibitors of bacterial translation.
{"title":"Assays for the identification of inhibitors targeting specific translational steps.","authors":"Letizia Brandi, John Dresios, Claudio O Gualerzi","doi":"10.1007/978-1-59745-246-5_8","DOIUrl":"https://doi.org/10.1007/978-1-59745-246-5_8","url":null,"abstract":"<p><p>While bacterial protein synthesis is the target of about half of the known antibiotics, the great structural-functional complexity of the translational machinery still offers remarkable opportunities for identifying novel and specific inhibitors of unexploited targets. We designed a knowledge-based in vitro translation assay to identify inhibitors selectively targeting the bacterial or the yeast translational apparatus, preferentially blocking the early steps of protein synthesis. Using a natural-like, \"universal\" model mRNA and cell-free extracts prepared from Eschericha coli, Saccharomyces cerevisiae, and HeLa cells, we were able to translate, with comparable yields in the three systems, the immunogenic peptide encoded by this \"universal\" mRNA. The immuno-enzymatic quantification of the translated peptide in the presence of a potential inhibitor can identify a selective bacterial or fungal inhibitor inactive in the human system. When applied to the high-throughput screening (HTS) of a library of approximately 25,000 natural products, this assay led to the identification of two novel and specific inhibitors of bacterial translation.</p>","PeriodicalId":18460,"journal":{"name":"Methods in molecular medicine","volume":"142 ","pages":"87-105"},"PeriodicalIF":0.0,"publicationDate":"2008-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/978-1-59745-246-5_8","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"27404317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Anassuya Ramachandran, Michael A Black, Andrew N Shelling, Donald R Love
Microarrays provide a powerful means of analyzing the expression level of multiple transcripts in two sample populations. In this study, we have used microarray technology to identify genes that are differentially regulated in response to activin-treated ovarian cancer cells. We find a number of biologically relevant genes that are involved in regulating activin signaling and genes potentially contributing to activin-mediated growth arrest appear to be differentially regulated. Thus, microarrays are an important tool for dissecting gene expression changes in normal physiological processes and disease.
{"title":"Microarrays--analysis of signaling pathways.","authors":"Anassuya Ramachandran, Michael A Black, Andrew N Shelling, Donald R Love","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Microarrays provide a powerful means of analyzing the expression level of multiple transcripts in two sample populations. In this study, we have used microarray technology to identify genes that are differentially regulated in response to activin-treated ovarian cancer cells. We find a number of biologically relevant genes that are involved in regulating activin signaling and genes potentially contributing to activin-mediated growth arrest appear to be differentially regulated. Thus, microarrays are an important tool for dissecting gene expression changes in normal physiological processes and disease.</p>","PeriodicalId":18460,"journal":{"name":"Methods in molecular medicine","volume":"141 ","pages":"115-30"},"PeriodicalIF":0.0,"publicationDate":"2008-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"27418336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-01-01DOI: 10.1007/978-1-60327-148-6_8
Alexandre Mendes, Rodney J Scott, Pablo Moscato
We present in this chapter the combined use of several recently introduced methodologies for the analysis of microarray datasets. These computational techniques are varied in type and very powerful when combined. We have selected a prostate cancer dataset which is available in the public domain to allow for further comparisons with existing methods. The task is to identify biomarkers that correlate with the clinical phenotype of interest, i.e., Gleason patterns 3, 4, and 5. A supervised method, based on the mathematical formalism of (alpha, beta)-k-feature sets (1), is used to select differentially expressed genes. After these "molecular signatures" are identified, we applied an unsupervised method (a memetic algorithm) to order the samples (2). The objective is to maximize a global measure of correlation in the two-dimensional display of gene expression profiles. With the resulting ordering and taxonomy we are able to identify samples that have been assigned a certain Gleason pattern, and have gene expression patterns different from most of the other samples in the group. We reiterate the approach to obtain molecular signatures that produce coherent patterns of gene expression in each of the three Gleason pattern groups, and we analyze the statistically significant patterns of gene expression that seem to be implicated in these different stages of disease.
{"title":"Microarrays--identifying molecular portraits for prostate tumors with different Gleason patterns.","authors":"Alexandre Mendes, Rodney J Scott, Pablo Moscato","doi":"10.1007/978-1-60327-148-6_8","DOIUrl":"https://doi.org/10.1007/978-1-60327-148-6_8","url":null,"abstract":"<p><p>We present in this chapter the combined use of several recently introduced methodologies for the analysis of microarray datasets. These computational techniques are varied in type and very powerful when combined. We have selected a prostate cancer dataset which is available in the public domain to allow for further comparisons with existing methods. The task is to identify biomarkers that correlate with the clinical phenotype of interest, i.e., Gleason patterns 3, 4, and 5. A supervised method, based on the mathematical formalism of (alpha, beta)-k-feature sets (1), is used to select differentially expressed genes. After these \"molecular signatures\" are identified, we applied an unsupervised method (a memetic algorithm) to order the samples (2). The objective is to maximize a global measure of correlation in the two-dimensional display of gene expression profiles. With the resulting ordering and taxonomy we are able to identify samples that have been assigned a certain Gleason pattern, and have gene expression patterns different from most of the other samples in the group. We reiterate the approach to obtain molecular signatures that produce coherent patterns of gene expression in each of the three Gleason pattern groups, and we analyze the statistically significant patterns of gene expression that seem to be implicated in these different stages of disease.</p>","PeriodicalId":18460,"journal":{"name":"Methods in molecular medicine","volume":"141 ","pages":"131-51"},"PeriodicalIF":0.0,"publicationDate":"2008-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/978-1-60327-148-6_8","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"27418338","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-01-01DOI: 10.1007/978-1-59745-366-0_27
Kayhan T Nouri-Aria
Hybridization is the formation of hybrid nucleic acid molecules with complementary nucleotide sequences in DNA:DNA, DNA:RNA, or RNA:RNA forms. In situ hybridization is a highly sensitive technique that allows detection and localization of specific DNA or RNA molecules in morphologically preserved isolated cells, histological tissue sections, or chromosome preparations. In situ hybridization has broad range of applications and has been used to (a) localize viral infection, (b) identify sites of gene expression, (c) analyze mRNA transcription and tissue distribution, and (d) map gene sequences in chromosomes. There are several advantages of the use of in situ hybridization including the fact that it can be applied to archival materials and frozen tissues and can be combined with immunohistochemistry to detect protein as well as mRNA of interest or phenotype of cells expressing the target genome, detecting more than one nucleic acid sequences using different labeling methods.The major steps involved in in situ hybridization are as follows: probe preparation and labeling, tissue fixation, permeabilization, hybridization, and signal detection and these are described in detail in this chapter.
{"title":"In situ Hybridization.","authors":"Kayhan T Nouri-Aria","doi":"10.1007/978-1-59745-366-0_27","DOIUrl":"https://doi.org/10.1007/978-1-59745-366-0_27","url":null,"abstract":"<p><p>Hybridization is the formation of hybrid nucleic acid molecules with complementary nucleotide sequences in DNA:DNA, DNA:RNA, or RNA:RNA forms. In situ hybridization is a highly sensitive technique that allows detection and localization of specific DNA or RNA molecules in morphologically preserved isolated cells, histological tissue sections, or chromosome preparations. In situ hybridization has broad range of applications and has been used to (a) localize viral infection, (b) identify sites of gene expression, (c) analyze mRNA transcription and tissue distribution, and (d) map gene sequences in chromosomes. There are several advantages of the use of in situ hybridization including the fact that it can be applied to archival materials and frozen tissues and can be combined with immunohistochemistry to detect protein as well as mRNA of interest or phenotype of cells expressing the target genome, detecting more than one nucleic acid sequences using different labeling methods.The major steps involved in in situ hybridization are as follows: probe preparation and labeling, tissue fixation, permeabilization, hybridization, and signal detection and these are described in detail in this chapter.</p>","PeriodicalId":18460,"journal":{"name":"Methods in molecular medicine","volume":"138 ","pages":"331-47"},"PeriodicalIF":0.0,"publicationDate":"2008-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/978-1-59745-366-0_27","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"27522175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-01-01DOI: 10.1007/978-1-59745-366-0_10
William P Stefura, J Darren Campbell, Renée Douville, Monique J Stinson, F Estelle Simons, Allan B Becker, Kent T HayGlass
ELISAs offer excellent specificity and, once fully optimized, sensitivity that rivals that of bioassays. The major variables that need to be experimentally determined when developing an ELISA are the optimal number of fresh cells required per well, the optimal antigen concentrations for stimulation, period of culture, and the anticipated intensity of the response. In this chapter, we review the major factors to be considered in the development and application of ultrasensitive ELISAs to the analysis of human immune responses. We specify the conditions we have found to be optimal for quantifying a number of cytokines of demonstrated relevance to human immune regulation and discuss the major pitfalls inherent in this approach.
{"title":"Ultrasensitive ELISA for measurement of human cytokine responses in primary culture.","authors":"William P Stefura, J Darren Campbell, Renée Douville, Monique J Stinson, F Estelle Simons, Allan B Becker, Kent T HayGlass","doi":"10.1007/978-1-59745-366-0_10","DOIUrl":"https://doi.org/10.1007/978-1-59745-366-0_10","url":null,"abstract":"<p><p>ELISAs offer excellent specificity and, once fully optimized, sensitivity that rivals that of bioassays. The major variables that need to be experimentally determined when developing an ELISA are the optimal number of fresh cells required per well, the optimal antigen concentrations for stimulation, period of culture, and the anticipated intensity of the response. In this chapter, we review the major factors to be considered in the development and application of ultrasensitive ELISAs to the analysis of human immune responses. We specify the conditions we have found to be optimal for quantifying a number of cytokines of demonstrated relevance to human immune regulation and discuss the major pitfalls inherent in this approach.</p>","PeriodicalId":18460,"journal":{"name":"Methods in molecular medicine","volume":"138 ","pages":"107-19"},"PeriodicalIF":0.0,"publicationDate":"2008-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/978-1-59745-366-0_10","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"27522381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-01-01DOI: 10.1007/978-1-59745-366-0_11
Monique Stinson, Renee Douville, Yuriy Lissitsyn, Melanie Blanchard, William Stefura, Estelle Simons, Allan Becker, Peter Nickerson, Kevin Coombs, Kent HayGlass
Chemokines are primarily low molecular mass proteins that are produced and usually released by a wide variety of cell types. Differential chemokine responses can be excellent early markers of immune dysfunction, allowing clinical intervention prior to expression of full blown undesirable effector responses. Thus, assessment of the nature and intensity of Ag-dependent chemokine production provides a valuable tool for probing human immune regulation.Here, we provide detailed instructions on approaches we have developed to assess the nature and intensity of recall responses to a wide variety of exogenous and endogenous antigens capable of consistently stimulating chemokine responses by PBMC from adult and pediatric populations. This chapter is divided into two sections. The first is focused on culture techniques for eliciting antigen-driven chemokine responses for a panel of chemokines that are relevant to immune function. The second section details assay systems for their quantitative analysis.
{"title":"Quantification of human chemokine production in TLR-stimulated and antigen-specific recall responses.","authors":"Monique Stinson, Renee Douville, Yuriy Lissitsyn, Melanie Blanchard, William Stefura, Estelle Simons, Allan Becker, Peter Nickerson, Kevin Coombs, Kent HayGlass","doi":"10.1007/978-1-59745-366-0_11","DOIUrl":"https://doi.org/10.1007/978-1-59745-366-0_11","url":null,"abstract":"<p><p>Chemokines are primarily low molecular mass proteins that are produced and usually released by a wide variety of cell types. Differential chemokine responses can be excellent early markers of immune dysfunction, allowing clinical intervention prior to expression of full blown undesirable effector responses. Thus, assessment of the nature and intensity of Ag-dependent chemokine production provides a valuable tool for probing human immune regulation.Here, we provide detailed instructions on approaches we have developed to assess the nature and intensity of recall responses to a wide variety of exogenous and endogenous antigens capable of consistently stimulating chemokine responses by PBMC from adult and pediatric populations. This chapter is divided into two sections. The first is focused on culture techniques for eliciting antigen-driven chemokine responses for a panel of chemokines that are relevant to immune function. The second section details assay systems for their quantitative analysis.</p>","PeriodicalId":18460,"journal":{"name":"Methods in molecular medicine","volume":"138 ","pages":"121-31"},"PeriodicalIF":0.0,"publicationDate":"2008-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"27522382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-01-01DOI: 10.1007/978-1-59745-366-0_24
Mark Buckley, Andrew F Walls
Mast cells generate mediators of inflammation which are stored in granules and secreted on activation either by allergen crosslinking of membrane-bound IgE or through other stimuli. Most methods for mast cell identification rely on the histochemical detection of constituents of the secretory granules. Although staining for mast cells with histochemical stains can be rapid and relatively inexpensive, it is not always possible to distinguish reliably between mast cells and basophils in tissues. A further problem with the staining of mast cells with commonly used basic dyes is that the reagents employed to fix the tissues can influence the results, leading to confusion regarding the numbers of mast cells present in various tissues. Recognition that there is considerable heterogeneity between mast cell populations in the degree to which staining properties are lost with formalin fixation has led to mast cell subsets being defined on this basis. The development and application of procedures for identifying mast cell proteases has led to important advances in our understanding of the role of mast cells and in the nature of heterogeneity in man. The techniques described here should allow the reliable detection of mast cells and mast cell subsets in a range of tissues and cell preparations. There will be a continuing need for validation, for consideration of potential sources of error, and for the development of new and more reliable techniques for mast cell identification.
{"title":"Identification of mast cells and mast cell subpopulations.","authors":"Mark Buckley, Andrew F Walls","doi":"10.1007/978-1-59745-366-0_24","DOIUrl":"10.1007/978-1-59745-366-0_24","url":null,"abstract":"<p><p>Mast cells generate mediators of inflammation which are stored in granules and secreted on activation either by allergen crosslinking of membrane-bound IgE or through other stimuli. Most methods for mast cell identification rely on the histochemical detection of constituents of the secretory granules. Although staining for mast cells with histochemical stains can be rapid and relatively inexpensive, it is not always possible to distinguish reliably between mast cells and basophils in tissues. A further problem with the staining of mast cells with commonly used basic dyes is that the reagents employed to fix the tissues can influence the results, leading to confusion regarding the numbers of mast cells present in various tissues. Recognition that there is considerable heterogeneity between mast cell populations in the degree to which staining properties are lost with formalin fixation has led to mast cell subsets being defined on this basis. The development and application of procedures for identifying mast cell proteases has led to important advances in our understanding of the role of mast cells and in the nature of heterogeneity in man. The techniques described here should allow the reliable detection of mast cells and mast cell subsets in a range of tissues and cell preparations. There will be a continuing need for validation, for consideration of potential sources of error, and for the development of new and more reliable techniques for mast cell identification.</p>","PeriodicalId":18460,"journal":{"name":"Methods in molecular medicine","volume":"138 ","pages":"285-97"},"PeriodicalIF":0.0,"publicationDate":"2008-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"27523995","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-01-01DOI: 10.1007/978-1-59745-366-0_25
Alan R McEuen, Andrew F Walls
Mast cells are key effector cells of the allergic response. When stimulated by specific allergen through the high-affinity IgE receptors or through other stimuli, these cells release a number of potent mediators of inflammation. Amongst these are the serine proteases tryptase and chymase. In humans, tryptase is the most abundant mediator stored in mast cells. Chymase is present in more moderate amounts in a subpopulation of mast cells (MC(TC)). This subtype of mast cells predominates in connective tissue, whereas the other major subtype, the MC(T), predominates in mucosal tissue. Both proteases have been shown to act on specific extracellular proteins and peptides, as well as to alter the behavior of various cell types. Inhibitors of tryptase have been found to be efficacious in animal and human models of asthma, and both proteases are currently being investigated as potential targets for therapeutic intervention. Such pharmacological, physiological, and biochemical studies require the availability of purified tryptase and chymase. In this chapter, we shall describe procedures for the purification of tryptase and chymase from human tissues and provide protocols for monitoring purification and characterization of the final product. The preparation of recombinant proteases will not be covered, though some of the procedures described may be readily adapted for their purification from recombinant expression systems. The procedures described here have been developed for the purification of the human proteases and will require some modification if applied to purify mast cell proteases from the tissues of other species.
{"title":"Purification and characterization of mast cell tryptase and chymase from human tissues.","authors":"Alan R McEuen, Andrew F Walls","doi":"10.1007/978-1-59745-366-0_25","DOIUrl":"10.1007/978-1-59745-366-0_25","url":null,"abstract":"<p><p>Mast cells are key effector cells of the allergic response. When stimulated by specific allergen through the high-affinity IgE receptors or through other stimuli, these cells release a number of potent mediators of inflammation. Amongst these are the serine proteases tryptase and chymase. In humans, tryptase is the most abundant mediator stored in mast cells. Chymase is present in more moderate amounts in a subpopulation of mast cells (MC(TC)). This subtype of mast cells predominates in connective tissue, whereas the other major subtype, the MC(T), predominates in mucosal tissue. Both proteases have been shown to act on specific extracellular proteins and peptides, as well as to alter the behavior of various cell types. Inhibitors of tryptase have been found to be efficacious in animal and human models of asthma, and both proteases are currently being investigated as potential targets for therapeutic intervention. Such pharmacological, physiological, and biochemical studies require the availability of purified tryptase and chymase. In this chapter, we shall describe procedures for the purification of tryptase and chymase from human tissues and provide protocols for monitoring purification and characterization of the final product. The preparation of recombinant proteases will not be covered, though some of the procedures described may be readily adapted for their purification from recombinant expression systems. The procedures described here have been developed for the purification of the human proteases and will require some modification if applied to purify mast cell proteases from the tissues of other species.</p>","PeriodicalId":18460,"journal":{"name":"Methods in molecular medicine","volume":"138 ","pages":"299-317"},"PeriodicalIF":0.0,"publicationDate":"2008-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"27523996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}