Protein profiling in human sera for identification of potential lung cancer biomarkers using antibody microarray

To identify potential biomarkers of lung cancer (LC), profiling of proteins in sera obtained from healthy and LC patients was determined using an antibody microarray. Based on our previous study on mRNA expression profiles between patients with LC and healthy persons, 19 proteins of interest were selected as targets for fabrication of an antibody microarray. Antibody to each protein and five nonspecific control antibodies were spotted onto a hydrogel‐coated glass slide and used for profiling of proteins in sera of LC patients in a two‐color fluorescence assay. Forty‐eight human sera samples were analyzed, and expression profiling of proteins were represented by the internally normalized ratio method. Six proteins were distinctly down‐regulated in sera of LC patients; this observation was validated by Wilcoxon test, false discovery rate, and Western blotting. Blind test of other 32 human sera using the antibody microarray followed by hierarchical clustering analysis revealed an approximate sensitivity of 88%, specificity of 80%, and an accuracy of 84%, respectively, in classifying the sera, which supports the potential of the six identified proteins as biomarkers for the prognosis of lung cancer.     

Mouse strain specific gene expression differences for illumina microarray expression profiling in embryos

ABSTRACT: BACKGROUND: In the field of mouse genetics the advent of technologies like microarray based expression profiling dramatically increased data availability and sensitivity, yet these advanced methods are often vulnerable to the unavoidable heterogeneity of in vivo material and might therefore reflect differentially expressed genes between mouse strains of no relevance to a targeted experiment. The aim of this study was not to elaborate on the usefulness of microarray analysis in general, but to expand our knowledge regarding this potential "background noise" for the widely used Illumina microarray platform surpassing existing data which focused primarily on the adult sensory and nervous system, by analyzing patterns of gene expression at different embryonic stages using wild type strains and modern transgenic models of often non-isogenic backgrounds. RESULTS: Wild type embryos of 11 mouse strains commonly used in transgenic and molecular genetic studies at three developmental time points were subjected to Illumina microarray expression profiling in a strain-by-strain comparison. Our data robustly reflects known gene expression patterns during mid-gestation development. Decreasing diversity of the input tissue and/or increasing strain diversity raised the sensitivity of the array towards the genetic background. Consistent strain sensitivity of some probes was attributed to genetic polymorphisms or probe design related artifacts. CONCLUSION: Our study provides an extensive reference list of gene expression profiling background noise of value to anyone in the field of developmental biology and transgenic research performing microarray expression profiling with the widely used Illumina microarray platform. Probes identified as strain specific background noise further allow for microarray expression profiling on its own to be a valuable tool for establishing genealogies of mouse inbred strains.     

Towards a human proteome atlas: high-throughput generation of mono-specific antibodies for tissue profiling

A great need exists for the systematic generation of specific antibodies to explore the human proteome. Here, we show that antibodies specific to human proteins can be generated in a high-throughput manner involving stringent affinity purification using recombinant protein epitope signature tags (PrESTs) as immunogens and affinity-ligands. The specificity of the generated affinity reagents, here called mono-specific antibodies (msAb), were validated with a novel protein microarray assay. The success rate for 464 antibodies generated towards human proteins was more than 90% as judged by the protein array assay. The antibodies were used for parallel profiling of patient biopsies using tissue microarrays generated from 48 human tissues. Comparative analysis with well-characterized monoclonal antibodies showed identical or similar specificity and expression patterns. The results suggest that a comprehensive atlas containing extensive protein expression and subcellular localization data of the human proteome can be generated in an efficient manner with mono-specific antibodies.     

Graph-based deconvolution analysis of multiplex sandwich microarray immunoassays: applications for environmental monitoring

The sandwich microarray immunoassay (SMI) is a powerful technique for the analysis and characterization of environmental samples, from the identification of microorganisms to specific bioanalytes. As the number of antibodies increases, however, unspecific binding and cross-reactivity can become a problem. To cope with such difficulties, we present here the concept of antibody graph associated to a sandwich antibody microarray. Antibody graphs give valuable information about the antibody cross-reactivity network and all the players involved in the sandwich format: capturing and tracer antibodies, the antigenic sample and the degree of cross-reactivity between antibodies. Making use of the information contained in the antibody graph, we have developed a deconvolution method that disentangles the antibody cross-reactivity events and gives qualitative information about the composition of the experimental sample under study. We have validated the method by using a 66 antibody-containing microarray to describe known antigenic mixtures as well as natural environmental samples characterized by 16S-RNA gene phylogenetic analysis. The application of our antibody graph and deconvolution method allowed us to discriminate between true specific antigen-antibody reactions and spurious signals on a microarray designed for environmental monitoring.     

Functional and comparative genomics of pathogenic bacteria

Microarray expression profiling and the development of data-mining tools and new statistical instruments affords an unprecedented opportunity for the genome-scale study of bacterial pathogenicity. Expression profiles obtained from bacteria grown in media simulating host microenvironments yield a portrait of interacting metabolic pathways and multistage developmental programs and disclose regulatory networks. The analysis of closely related strains and species by microarray-based comparative genomics provides a measure of genetic variability within natural populations and identifies crucial differences between pathogen and commensal. In the near future, the combined use of bacterial and host microarrays to study the same infected tissue will reveal the host-pathogen dialogue in a gene-by-gene and site- and time-specific manner. This review discusses the use of microarray-based expression profiling to identify genes of pathogenic bacteria that are differentially regulated in response to host-specific signals. Additionally, the review describes the application of microarray methods to disclose differences in gene content between taxonomically related strains that vary with respect to pathogenic phenotype.     

A novel antibody microarray format using non-covalent antibody immobilization with chemiluminescent detection

To date, protein and antibody microarrays have been used in reverse-phase and sandwich-based methods in order to detect known proteins such as biomarkers in samples. Our group developed "libraries" of antibodies against unknown proteins, referred to as mKIAA proteins, and we attempted to discover candidate novel biomarkers by protein expression profiling.To profile mKIAA protein expression using these antibodies, we established an antibody microarray system using chemiluminescent detection. A number of techniques for protein-antibody microarrays have been reported; however, no entirely suitable protocol for crude protein samples has been established. To address this issue, we immobilized purified antibodies on hydrophilic surface polymer slides (Maxisorp, Nunc). Although our system is based on the direct labeling of crude protein samples, we achieved sufficient sensitivity (detection limit: 50 pg mL(-1)) and low backgrounds. This sensitivity is on a level with the sandwich immunoassay-based antibody array system. Using our protocol, we developed an antibody microarray spotted with 960 anti-mKIAA antibodies (total: 3888 spots for quadruplicate assessments), and we carried out protein expression profiling of mKIAA proteins. In this study, we generated an expression profile of 960 mKIAA proteins and compared the present results with those obtained via cDNA microarray.     

Vacuolar targeting of recombinant antibodies in Nicotiana benthamiana

Plant‐based platforms are extensively used for the expression of recombinant proteins, including monoclonal antibodies. However, to harness the approach effectively and leverage it to its full potential, a better understanding of intracellular processes that affect protein properties is required. In this work, we examined vacuolar (vac) targeting and deposition of the monoclonal antibody (Ab) 14D9 in Nicotiana benthamiana leaves. Two distinct vacuolar targeting signals (KISIA and NIFRGF) were C‐terminal fused to the heavy chain of 14D9 (vac‐Abs) and compared with secreted and ER‐retained variants (sec‐Ab, ER‐Ab, respectively). Accumulation of ER‐ and vac‐Abs was 10‐ to 15‐fold higher than sec‐Ab. N‐glycan profiling revealed the predominant presence of plant typical complex fucosylated and xylosylated GnGnXF structures on sec‐Ab while vac‐Abs carried mainly oligomannosidic (Man 7‐9) next to GnGnXF forms. Paucimannosidic glycans (commonly assigned as typical vacuolar) were not detected. Confocal microscopy analysis using RFP fusions showed that sec‐Ab‐RFP localized in the apoplast while vac‐Abs‐RFP were exclusively detected in the central vacuole. The data suggest that vac‐Abs reached the vacuole by two different pathways: direct transport from the ER bypassing the Golgi (Ab molecules containing Man structures) and trafficking through the Golgi (for Ab molecules containing complex N‐glycans). Importantly, vac‐Abs were correctly assembled and functionally active. Collectively, we show that the central vacuole is an appropriate compartment for the efficient production of Abs with appropriate post‐translational modifications, but also point to a reconsideration of current concepts in plant glycan processing.     

人早胚发育相关蛋白ZNF268的抗体制备

目的:获得纯化抗原用于制备ZNF268的多克隆抗体。方法:PCR扩增目的基因片Spacer区序列,亚克隆入融合蛋白表达载体pET28a+,构建了重组质粒pET28a+/SPA。然后将该重组质粒转化E.coliDE3(Rosseta),IPTG诱导表达,SDS-PAGE分离,获纯化融合蛋白6His-SPA。用6His-SPA免疫家兔,颈动脉取血,分离血清,从血清中获得ZNF268特异的多克隆抗体。结论:通过构建融合蛋白重组表达质粒pET28a+/SPA,用获得的初步纯化融合蛋白6His-SPA,制备了特异的ZNF268的多克隆抗体6His-SPA Ab。     

Genomic DNA microarrays for Entamoeba histolytica: applications for use in expression profiling and strain genotyping

The parasite Entamoeba histolytica is a causative agent of dysentery and liver abscesses. Found predominantly in developing countries, this parasitic infection is responsible for significant morbidity and mortality. We have developed a genomic DNA microarray for E. histolytica. The array composed of 11,328 clones contains >2000 unique genes and was utilized for expression profiling and comparative genomic hybridizations of Entamoeba strains. We present a synopsis of our results to date and potential future applications of microarray technology for the study of Entamoeba biology.     

Strain-related differences in antibody-mediated changes in gene expression are associated with differences in capsule and location of binding

We recently established that antibody (Ab)-binding can induce gene expression changes in a serotype A strain (H99) of the pathogenic yeast, Cryptococcus neoformans. That study showed that monoclonal antibodies (mAbs) differing in epitope specificity and protective efficacy elicited differences in gene expression. Because many mAbs bind to serotypes A and D strains differently, we now investigate the binding of one mAb to two strains representing these serotypes. Cells of the serotype A strain H99 and the serotype D strain 24067 were incubated with near saturating concentrations of the IgG1 capsule-binding mAb 18B7 or MOPC, an irrelevant mAb matched control. Comparative immunofluorescence analysis of mAb 18B7 binding revealed that it bound closer to the cell wall in H99 than 24067, where it was associated with decreased or increased cell diameter, respectively. A comparison of encapsulated cell compressibility showed that strain 24067 was more compressible than that of strain H99. RNA was extracted and used for gene expression analysis using the C. neoformans JEC21 genomic microarray. After 1h incubation with mAb 18B7, there were just 2 gene expression changes observed with strain 24067 or strain JEC21, unlike the 43 seen with strain H99. After 4h incubation with mAb 18B7, there were 14 and 140 gene expression changes observed with strain 24067 and JEC21, respectively. Thus, C. neoformans strains differ both in the response and the time of response to mAb binding and these differences may reflect differences in the location of Ab binding, Ab-mediated changes in cell diameter and compressibility of the capsular polysaccharide.     

Optimized normalization for antibody microarrays and application to serum-protein profiling

The measurements of coordinated patterns of protein abundance using antibody microarrays could be used to gain insight into disease biology and to probe the use of combinations of proteins for disease classification. The correct use and interpretation of antibody microarray data requires proper normalization of the data, which has not yet been systematically studied. Therefore we undertook a study to determine the optimal normalization of data from antibody microarray profiling of proteins in human serum specimens. Forty-three serum samples collected from patients with pancreatic cancer and from control subjects were probed in triplicate on microarrays containing 48 different antibodies, using a direct labeling, two-color comparative fluorescence detection format. Seven different normalization methods representing major classes of normalization for antibody microarray data were compared by their effects on reproducibility, accuracy, and trends in the data set. Normalization with ELISA-determined concentrations of IgM resulted in the most accurate, reproducible, and reliable data. The other normalization methods were deficient in at least one of the criteria. Multiparametric classification of the samples based on the combined measurement of seven of the proteins demonstrated the potential for increased classification accuracy compared with the use of individual measurements. This study establishes reliable normalization for antibody microarray data, criteria for assessing normalization performance, and the capability of antibody microarrays for serum-protein profiling and multiparametric sample classification.     

Induction of the immune response to Legionella pneumophila cytolysin by monoclonal anti-idiotypic antibodies

A panel of mAb (IgG1, IgG3, IgM) against Legionella pneumophila cytolysin (CL)-protease of 37 kDa was obtained. Subtyping of L. pneumophila strains of serogroup 1 by using mAb against CL (mAb-CL) was carried out. The results of comparative analysis of the specificity of mAb-CL and the panel of mAb kindly provided by Dr. J. M. Barbaree (Centers for Disease Control, Atlanta, GA) allowed us to recommend mAb-CL to be used as a diagnostic tool to reveal the pathogenicity of L. pneumophila strains of serogroup 1. Hybridomas were also raised in a syngenic system which produced anti-idiotypic mAb (mAb2) against anti-CL mAb B6/1. The Ab2 belonged to Ab2 gamma type: 1) Ab2 reacted with B6/1 Id only, 2) Ab2 inhibited the interaction of B6/1 Ab1 with CL, and 3) CL inhibited the reaction of Ab2 with Ab1. The use of Ab2 allowed us to show that B6/1 Id is expressed in 4 to 32% of serum antibodies during the primary and secondary immune responses of BALB/c mice to CL. Ab2 induced the production of anti-anti-idiotypic antibodies (Ab3) in BALB/c mice, and some of them reacted with CL. Thus, we have demonstrated the possibility of inducing an antibody response to CL (one of the main L. pneumophila pathogenic factors) in intact syngenic mice with anti-idiotypic antibodies.     

Quorum sensing affects virulence-associated proteins F1, LcrV, KatY and pH6 etc. of Yersinia pestis as revealed by protein microarray-based antibody profiling

Protein microarray that consists of virulence-associated proteins of Yersinia pestis is used to compare antibody profiles elicited by the wild-type and quorum sensing (QS) mutant strain of this bacterium to define the immunogens that are impacted by QS. The results will lead the way for future functional proteomics studies. The antibody profile that was induced by the QS mutant differed from that of the parent strain. Detailed comparison of the antibody profiles, according to the proteins' functional annotations, showed that QS affects the expression of many virulence-associated proteins of Y. pestis. The antibodies to many virulence-associated proteins were not detected or lower titers of antibodies to many proteins were detected in the sera of rabbits immunized with the QS mutant, relative to those of the wild type, which indicated that these proteins were not expressed or expressed at relatively lower levels in the QS mutant. The results demonstrated that antibody profiling by protein microarrays is a promising high-throughput method for revealing the interactions between pathogens and the host immune system.     

Antibodies isolated by using cloned surface antigens recognize antigenically related components of Legionella pneumophila and other Legionella species

We studied the antigenic cross-reactivity of surface proteins among various strains of Legionella pneumophila and other Legionella species by using a novel method of antibody purification. Anti-bacterial antibodies in hyperimmune sera were adsorbed to and eluted from the surface of recombinant E. coli cells that express individual L. pneumophila antigens on their surface. These affinity-purified antibodies were then used to probe protein immunoblots prepared from the test strains to detect cross-reactive domains. We found that antigenic proteins are generally conserved in all L. pneumophila serogroups. Although some of these antigenic domains are shared with members of other Legionella species, they are associated with proteins of different molecular mass. Our approach to the study of antigenic cross-reactivity has potential advantages over similar studies that use either monoclonal antibodies or monospecific antibodies prepared by immunization with purified antigens.     

Monitoring expression profiles of Arabidopsis genes during cold acclimation and deacclimation using DNA microarrays

A comparative analysis of gene expression profiles during cold acclimation and deacclimation is necessary to elucidate the molecular mechanisms of cold stress responses in higher plants. We analyzed gene expression profiles in the process of cold acclimation and deacclimation (recovery from cold stress) using two microarray systems, the 7K RAFL cDNA microarray and the Agilent 22K oligonucleotide array. By both microarray analyses, we identified 292 genes up-regulated and 320 genes down-regulated during deacclimation, and 445 cold up-regulated genes and 341 cold down-regulated genes during cold acclimation. Many genes up-regulated during deacclimation were found to be down-regulated during cold acclimation, and vice versa. The genes up-regulated during deacclimation were classified into (1) regulatory proteins involved in further regulation of signal transduction and gene expression and (2) functional proteins involved in the recovery process from cold-stress-induced damages and plant growth. We also applied expression profiling studies to identify the key genes involved in the biosynthesis of carbohydrates and amino acids that are known to play important roles in cold acclimation. We compared genes that are regulated during deacclimation with those regulated during rehydration after dehydration to discuss the similarity and difference of each recovery process.Electronic Supplementary Material Supplementary materials are available for this article at