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Jörg D Hoheisel

Publications and source records attributed to Jörg D Hoheisel.

At least 19 recordsLinked to original sources
PubMed2007

ProteomeBinders: planning a European resource of affinity reagents for analysis of the human proteome.

ProteomeBinders is a new European consortium aiming to establish a comprehensive resource of well-characterized affinity reagents, including but not limited to antibodies, for analysis of the human proteome. Given the huge diversity of the proteome, the scale of the project is potentially immense but nevertheless feasible in the context of a pan-European or even worldwide coordination.

Affinity Labels↗
PubMed2006

Systematic interpretation of microarray data using experiment annotations.

BACKGROUND: Up to now, microarray data are mostly assessed in context with only one or few parameters characterizing the experimental conditions under study. More explicit experiment annotations, however, are highly useful for interpreting microarray data, when available in a statistically accessible format. RESULTS: We provide means to preprocess these additional data, and to extract relevant traits corresponding to the transcription patterns under study. We found correspondence analysis particularly well-suited for mapping such extracted traits. It visualizes associations both among and between the traits, the hereby annotated experiments, and the genes, revealing how they are all interrelated. Here, we apply our methods to the systematic interpretation of radioactive (single channel) and two-channel data, stemming from model organisms such as yeast and drosophila up to complex human cancer samples. Inclusion of technical parameters allows for identification of artifacts and flaws in experimental design. CONCLUSION: Biological and clinical traits can act as landmarks in transcription space, systematically mapping the variance of large datasets from the predominant changes down toward intricate details.

Cluster Analysis↗
PubMed2006

Functional analysis of Trypanosoma brucei PUF1.

The genomes of Trypanosoma brucei, Leishmania major and Trypanosoma cruzi each encode 10 proteins with PUF domains. PUF domain proteins from yeast and metazoa have been shown to bind RNA and to regulate mRNA stability and translation. Phylogenetic analysis suggested that the PUF proteins were duplicated and diverged early in evolution, and that most PUF proteins were lost during the evolution of mammals. Depletion of any of the first nine T. brucei PUF protein mRNAs by RNA interference had no effect on cell growth; combined depletion of PUF1 and PUF3, PUF3 and PUF4, and PUF1 and PUF4 mRNAs also had no effect. In conflict with a previous report, procyclic trypanosomes lacking PUF1 genes grew normally and we could find no evidence that PUF1 is required for growth of trypanosomes in culture. Depletion or elimination of PUF1 mRNA did not affect the abundances of any other mRNAs, as detected in microarray analysis, and also had minimal effects on the proteome. (In control experiments, treatment of bloodstream and procyclic cells with 100 ng/ml tetracycline also had no detectable effects on the transcriptome and proteome.) PUF1 preferentially bound to retroposon RNAs and was not associated with polysomes. We suggest that, as in yeast, there may be functional redundancy among the Kinetoplastid PUF proteins, or they may be involved in fine-tuning gene expression together with other proteins. Alternatively, PUF proteins may be needed in differentiating trypanosomes or in non-culturable life-cycle stages.

Animals↗
PubMed2006

A transcriptome analysis of isoamyl alcohol-induced filamentation in yeast reveals a novel role for Gre2p as isovaleraldehyde reductase.

A transcriptome analysis was performed of Saccharomyces cerevisiae undergoing isoamyl alcohol-induced filament formation. In the crucial first 5 h of this process, only four mRNA species displayed strong and statistically significant increases in their levels of more than 10-fold. Two of these (YEL071w/DLD3 and YOL151w/GRE2) appear to play important roles in filamentation. The biochemical activities ascribed to these two genes (d-lactate dehydrogenase and methylglyoxal reductase, respectively) displayed similarly timed increases to those of their respective mRNAs. Mutants carrying dld3 mutations displayed reduced filamentation in 0.5% isoamyl alcohol and needed a higher concentration of isoamyl alcohol to effect more complete filament formation. Hence, DLD3 seems to be required for a full response to isoamyl alcohol, but is not absolutely essential for it. Mutants carrying gre2 mutations were derepressed for filament formation and formed large, invasive filaments even in the absence of isoamyl alcohol. These results indicate a previously unsuspected and novel role for the GRE2 gene product as a suppressor of filamentation by virtue of encoding isovaleraldehyde reductase activity.

Aldehydes↗
PubMed2006

Utilising the left-helical conformation of L-DNA for analysing different marker types on a single universal microarray platform.

L-DNA is the perfect mirror-image form of the naturally occurring d-conformation of DNA. Therefore, L-DNA duplexes have the same physical characteristics in terms of solubility, duplex stability and selectivity as D-DNA but form a left-helical double-helix. Because of its chiral difference, L-DNA does not bind to its naturally occurring D-DNA counterpart, however. We analysed some of the properties that are typical for L-DNA. For all the differences, L-DNA is chemically compatible with the D-form of DNA, so that chimeric molecules can be synthesized. We take advantage of the characteristics of L-DNA toward the establishment of a universal microarray that permits the analysis of different kinds of molecular diagnostic information in a single experiment on a single platform, in various combinations. Typical results for the measurement of transcript level variations, genotypic differences and DNA-protein interactions are presented. However, on the basis of the characteristic features of L-DNA, also other applications of this molecule type are discussed.

Animals↗
PubMed2006

Identification of single-point mutations in mycobacterial 16S rRNA sequences by confocal single-molecule fluorescence spectroscopy.

We demonstrate the specific identification of single nucleotide polymorphism (SNP) responsible for rifampicin resistance of Mycobacterium tuberculosis applying fluorescently labeled DNA-hairpin structures (smart probes) in combination with single-molecule fluorescence spectroscopy. Smart probes are singly labeled hairpin-shaped oligonucleotides bearing a fluorescent dye at the 5' end that is quenched by guanosine residues in the complementary stem. Upon hybridization to target sequences, a conformational change occurs, reflected in a strong increase in fluorescence intensity. An excess of unlabeled ('cold') oligonucleotides was used to prevent the formation of secondary structures in the target sequence and thus facilitates hybridization of smart probes. Applying standard ensemble fluorescence spectroscopy we demonstrate the identification of SNPs in PCR amplicons of mycobacterial rpoB gene fragments with a detection sensitivity of 10(-8) M. To increase the detection sensitivity, confocal fluorescence microscopy was used to observe fluorescence bursts of individual smart probes freely diffusing through the detection volume. By measuring burst size, burst duration and fluorescence lifetime for each fluorescence burst the discrimination accuracy between closed and open (hybridized) smart probes could be substantially increased. The developed technique enables the identification of SNPs in 10(-11) M solutions of PCR amplicons from M.tuberculosis in only 100 s.

Bacterial Proteins↗
PubMed2006

Generation of high density protein microarrays by cell-free in situ expression of unpurified PCR products.

Due to the success of DNA microarrays and the growing numbers of available protein expression clones, protein microarrays have become more and more popular for the high throughput screening of protein interactions. However, the widespread applicability of protein microarrays is currently hampered by the large effort associated with their production. Apart from the requirement for a protein expression library, expression and purification of the proteins themselves and the lacking stability of many proteins remain the bottleneck. Here we present an approach that allows the generation of high density protein microarrays from unbound DNA template molecules on the chip. It is based on the multiple spotting technique and comprises the deposition of a DNA template in a first spotting step and the transfer of a cell-free transcription and translation mixture on top of the same spot in a second spotting step. Using wild-type green fluorescent protein as a model protein, we demonstrated the time and template dependence of this coupled transcription and translation and showed that enough protein was produced to yield signals that were comparable to 300 microg/ml spotted protein. Plasmids as well as unpurified PCR products can be used as templates, and as little as 35 fg of PCR product ( approximately 22,500 molecules) were sufficient for the detectable expression of full-length wild-type green fluorescent protein in subnanoliter volumes. We showed that both aminopropyltrimethoxysilane and nickel chelate surfaces can be used for capture of the newly synthesized proteins. Surprisingly we observed that nickel chelate-coated slides were binding the newly synthesized proteins in an unspecific manner. Finally we adapted the system to the high throughput expression of libraries by designing a single primer pair for the introduction of the required T7 promoter and demonstrated the in situ expression using 384 randomly chosen clones.

Cell-Free System↗
PubMed2006

Optimal design of microarray immunoassays to compensate for kinetic limitations: theory and experiment.

In this report we examine the limitations of existing microarray immunoassays and investigate how best to optimize them using theoretical and experimental approaches. Derived from DNA technology, microarray immunoassays present a major technological challenge with much greater physicochemical complexity. A key physicochemical limitation of the current generation of microarray immunoassays is a strong dependence of antibody microspot kinetics on the mass flux to the spot as was reported by us previously. In this report we analyze, theoretically and experimentally, the effects of microarray design parameters (incubation vessel geometry, incubation time, stirring, spot size, antibody-binding site density, etc.) on microspot reaction kinetics and sensitivity. Using a two-compartment model, the quantitative descriptors of the microspot reaction were determined for different incubation and microarray design conditions. This analysis revealed profound mass transport limitations in the observed kinetics, which may be slowed down as much as hundreds of times compared with the solution kinetics. The data obtained were considered with relevance to microspot assay diffusional and adsorptive processes, enabling us to validate some of the underlying principles of the antibody microspot reaction mechanism and provide guidelines for optimal microspot immunoassay design. For an assay optimized to maximize the reaction velocity on a spot, we demonstrate sensitivities in the am and low fm ranges for a system containing a representative sample of antigen-antibody pairs. In addition, a separate panel of low abundance cytokines in blood plasma was detected with remarkably high signal-to-noise ratios.

Antigen-Antibody Complex↗
PubMed2006

Expression profiling of glial genes during Drosophila embryogenesis.

In the central nervous system of Drosophila, the induction of the glial cell fate is dependent on the transcription factor glial cells missing (gcm). Though a considerable number of other genes have been shown to be expressed in all or in subsets of glial cells, the course of glial cell differentiation and subtype specification is only poorly understood. This prompted us to design a whole genome microarray approach comparing gcm gain-of-function and, for the first time, gcm loss-of-function genetics to wildtype in time course experiments along embryogenesis. The microarray data were analyzed with special emphasis on the temporal profile of differential regulation. A comparison of both experiments enabled us to identify more than 300 potential gcm target genes. Validation by in situ hybridization revealed expression in glial cells, macrophages, and tendon cells (all three cell types depend on gcm) for 70 genes, of which more than 50 had been unknown to be under gcm control. Eighteen genes are exclusively expressed in glial cells, and their dependence on gcm was confirmed in situ. Initial considerations regarding the role of the newly discovered glial genes are discussed based on gene ontology and the temporal profile and subtype specificity of their expression. This collection of glial genes provides an important basis for the clarification of the genetic network controlling various aspects of glial development and function.

Animals↗
PubMed2006

Another side of genomics: synthetic biology as a means for the exploitation of whole-genome sequence information.

The successful completion of the Human Genome Project and other sequencing projects opened the door for another quantum jump in science advancement. The most important public sequence databases are doubling in size every 18 months. By revealing the genetic program of many organisms, these efforts endow biologists with the ability to study the basic information of life in toto as an initial step toward a comprehensive understanding of the complexity of entire organisms. We review the area of synthetic biology, defined as the making and use of biosystems founded on the chemical synthesis of the coding DNA (and potentially RNA). The recent developments discussed here introduce a rich source of oligonucleotides to the field: in situ synthesised microarrays, which in fact represent nothing else but matrix nucleic acid synthesisers. With this new way of producing the oligonucleotides used in the making of synthetic genes in a very cost-effective manner, the field of synthetic biology can be expected to change dramatically in the next decade. Synthetic genes will then be the tools of choice to obtain any sequence at any time in any laboratory.

Base Sequence↗
PubMed2006

Kinetics of antigen binding to antibody microspots: strong limitation by mass transport to the surface.

It is well documented that diffusion has generally a strong effect on the binding kinetics in the microtiter plate immunoassays. However, a systematic quantitative experimental evaluation of the microspot kinetics is still missing in the literature. Our work aims at filling this important gap of knowledge on the example of antigen binding to antibody microspots. A mathematical model was derived within the framework of two-compartment model and applied to the quantitative analysis of the experimental data obtained for typical antibody microspot assays. A strong mass-transport dependence of the antigen-antibody microspot kinetics was identified to be one of the main restrictions of this new technology. The binding reactions are slowed down in the microspot immunoassays by several orders of magnitude as compared with the corresponding well-stirred bulk reactions. The task to relax the mass-transport limitations should thus be one of the most important issues in designing the antibody microarrays. These limitations notwithstanding, the detection range of more than five orders of magnitude and the high sensitivity in the low femtomolar range were experimentally achieved in our study, demonstrating thus an enormous potential of this highly capable technology.

Antigen-Antibody Complex↗
PubMed2006

Microarray technology: beyond transcript profiling and genotype analysis.

Understanding complex functional mechanisms requires the global and parallel analysis of different cellular processes. DNA microarrays have become synonymous with this kind of study and, in many cases, are the obvious platform to achieve this aim. They have already made important contributions, most notably to gene-expression studies, although the true potential of this technology is far greater. Whereas some assays, such as transcript profiling and genotyping, are becoming routine, others are still in the early phases of development, and new areas of application, such as genome-wide epigenetic analysis and on-chip synthesis, continue to emerge.

Animals↗
PubMed2006

Functional genomics of stress response in Pseudomonas putida KT2440.

The metabolically versatile soil bacterium Pseudomonas putida has to cope with numerous abiotic stresses in its habitats. The stress responses of P. putida KT2440 to 4 degrees C, pH 4.5, 0.8 M urea, and 45 mM sodium benzoate were analyzed by determining the global mRNA expression profiles and screening for stress-intolerant nonauxotrophic Tn5 transposon mutants. In 392 regulated genes or operons, 36 gene regions were differentially expressed by more than 2.5-fold, and 32 genes in 23 operons were found to be indispensable for growth during exposure to one of the abiotic stresses. The transcriptomes of the responses to urea, benzoate, and 4 degrees C correlated positively with each other but negatively with the transcriptome of the mineral acid response. The CbrAB sensor kinase, the cysteine synthase CysM, PcnB and VacB, which control mRNA stability, and BipA, which exerts transcript-specific translational control, were essential to cope with cold stress. The cyo operon was required to cope with acid stress. A functional PhoP, PtsP, RelA/SpoT modulon, and adhesion protein LapA were necessary for growth in the presence of urea, and the outer membrane proteins OmlA and FepA and the phosphate transporter PstBACS were indispensable for growth in the presence of benzoate. A lipid A acyltransferase (PP0063) was a mandatory component of the stress responses to cold, mineral acid, and benzoate. Adaptation of the membrane barrier, uptake of phosphate, maintenance of the intracellular pH and redox status, and translational control of metabolism are key mechanisms of the response of P. putida to abiotic stresses.

Bacterial Outer Membrane Proteins↗
PubMed2006

Antibody microarrays: the crucial impact of mass transport on assay kinetics and sensitivity.

Although they are superficially similar to DNA microarrays, immunoassay microarrays represent a daunting technological challenge owing to the much wider diversity of proteins. Yet, as the leading edge of bioscience migrates from genomics to proteomics, the complexity and enormous dynamic range of proteins in a cell necessitate an analytic tool with exceptional specificity and sensitivity. In theory, microspot immunoassays could fulfill this need. However, antibody microarrays have had limited success to date, and have often required a highly sensitive detection system and/or sophisticated immobilization approach to be of any use for the profiling of complex specimens. There is a solid body of work on the theory of microspot reaction kinetics, yet much of the published experimental work on protein microarray development pays insufficient attention to the kinetic aspects of this interaction. This review explains that one of the main limitations for the sensitivity of current generation microspot immunoassays is the strong dependence of antibody microspot kinetics upon mass flux to the spot. This not only involves migration of analyte in solution, but also across the surface of the solid phase. Understanding of this effect will be discussed, along with several related effects and their significance to improving existing microarray designs. It is concluded that current efforts may be too focused on areas that cannot improve performance significantly, and that other critical areas of design should receive more attention. Finally, the review addresses the question of whether ambient analyte immunoassay is truly a separate category of microspot assay, with the conclusion that this may be a flawed concept.

Antibodies↗
PubMed2005

Specialized DNA arrays for the differentiation of pancreatic tumors.

PURPOSE: Malignant tumors of the pancreas are frequently indistinguishable from inflammatory tumors arising in the context of a chronic pancreatitis with the use of conventional imaging techniques. Thus, cytologic analysis of cells obtained by abdominal ultrasound, computed tomography, or endoscopic ultrasound-guided fine needle aspiration biopsy is required for diagnosis. However, the reliability of cytologic analyses of pancreatic fine needle aspirates remains unsatisfactory, with a diagnostic accuracy of < or =80%. The purpose of the current study was therefore to develop a novel diagnostic approach based on expression profiling of biopsy material using a specialized diagnostic cDNA array. EXPERIMENTAL DESIGN: Previous gene expression profiling studies were reevaluated to design a 558-feature diagnostic array. Minimal amounts of residual material from pancreatic cytology samples as well as surgically resected tumor and control tissue specimens were analyzed using the diagnostic array and a newly developed statistical classification system. RESULTS AND CONCLUSIONS: Our diagnostic approach resulted in 95% accurate differentiation between ductal adenocarcinomas and nonmalignant tumors of the pancreas. The diagnostic array, in conjunction with conventional diagnostic procedures, is thus suitable to significantly improve the reliability of pancreatic cancer diagnostics and can be expected to become a valuable new tool in the routine workup of suspect masses in the pancreas.

Adenocarcinoma↗
PubMed2005

Array-based analysis of genomic DNA methylation patterns of the tumour suppressor gene p16INK4A promoter in colon carcinoma cell lines.

Aberrant DNA methylation at CpG dinucleotides can result in epigenetic silencing of tumour suppressor genes and represents one of the earliest events in tumourigenesis. To date, however, high-throughput tools that are capable of surveying the methylation status of multiple gene promoters have been restricted to a limited number of cytosines. Here, we present an oligonucleotide microarray that permits the parallel analysis of the methylation status of individual cytosines, thus combining high throughput and high resolution. The approach was used to study the CpG island in the promoter region of the tumour suppressor gene p16(INK4A). In total, 876 oligonucleotide probes of 21 nt in length were used to inspect the methylation status of 53 CpG dinucleotides, producing correct signals in colorectal cancer cell lines as well as control samples with a defined methylation status. The information was validated by established alternative methods. The overall methylation pattern was consistent for each cell line, while different between them. At the level of individual cytosines, however, significant variations between individual cells of the same type were found, but also consistencies across the panel of cancer cell lines were observed.

Base Sequence↗
PubMed2005

Integration of GO annotations in Correspondence Analysis: facilitating the interpretation of microarray data.

MOTIVATION: The functional interpretation of microarray datasets still represents a time-consuming and challenging task. Up to now functional categories that are relevant for one or more experimental context(s) have been commonly extracted from a set of regulated genes and presented in long lists. RESULTS: To facilitate interpretation, we integrated Gene Ontology (GO) annotations into Correspondence Analysis to display genes, experimental conditions and gene-annotations in a single plot. The position of the annotations in these plots can be directly used for the functional interpretation of clusters of genes or experimental conditions without the need for comparing long lists of annotations. Correspondence Analysis is not limited in the number of experimental conditions that can be compared simultaneously, allowing an easy identification of characterizing annotations even in complex experimental settings. Due to the rapidly increasing amount of annotation data available, we apply an annotation filter. Hereby the number of displayed annotations can be significantly reduced to a set of descriptive ones, further enhancing the interpretability of the plot. We validated the method on transcription data from Saccharomyces cerevisiae and human pancreatic adenocarcinomas. AVAILABILITY: The M-CHiPS software is accessible for collaborators at http://www.mchips.org

Algorithms↗