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PubMed2005

CORONA, a member of the class III homeodomain leucine zipper gene family in Arabidopsis, regulates stem cell specification and organogenesis.

Organogenesis at the shoot meristem requires a delicate balance between stem cell specification and differentiation. In Arabidopsis thaliana, WUSCHEL (WUS) is a key factor promoting stem cell identity, whereas the CLAVATA (CLV1, CLV2, and CLV3) loci appear to promote differentiation by repressing WUS expression. In a screen for mutations modifying clv1 mutants, we have identified a novel regulator of meristem development we term CORONA (CNA). Whereas cna single mutant plants exhibit subtle defects in meristem development, clv cna double mutants develop massively enlarged apices that display early loss of organogenesis, misexpression of WUS and CLV3, and eventual differentiation of the entire apex. The CNA gene was isolated by positional cloning and found to encode a class III homeodomain Leu zipper protein. A missense mutation resulting in the dominant-negative cna-1 allele was identified in a conserved domain of unknown function, and a likely null allele was shown to display a similar but weaker phenotype. CNA is expressed in developing vascular tissue, diffusely through shoot and flower meristems, and within developing stamens and carpels. Our analysis of WUS expression in wild-type, clv, and clv cna plants revealed that, contrary to current models, WUS is neither necessary nor sufficient for stem cell specification and that neither WUS nor CLV3 is a marker for stem cell identity. We propose that CNA functions in parallel to the CLV loci to promote organ formation.

Alleles↗
PubMed1987

Molecular cloning of glucokinase cDNA. Developmental and dietary regulation of glucokinase mRNA in rat liver.

A rat liver cDNA library enriched for glucokinase sequences was constructed using the phage expression vector lambda gt11 and screened with an antiserum to glucokinase. A positive phage clone termed lambda-GK223 was isolated by several rounds of plaque purification. When introduced in the high frequency lysogenization strain Y1089, the phage was shown to encode a fusion protein containing epitopes specific to rat liver glucokinase. The 1800-base pair cDNA insert of lambda-GK223 was subcloned in a pUC plasmid, and a resulting recombinant termed pUC-GK1 was used for hybrid selection of mRNA. The selected mRNA directed the synthesis in a cell-free translation system of a protein identified as glucokinase by electrophoresis and immunoprecipitation. The cloned cDNA was then used as a probe to measure the amount of glucokinase mRNA in rat liver during postnatal development. Glucokinase mRNA, 2.4 kilobases in length, was first detectable at day 14 after birth and increased 40-fold in amount from this age to day 31, in parallel with the emergence of glucokinase enzyme activity. In the adult rat, glucokinase mRNA was low during fasting and increased more than 50-fold above the fasting level within 6 h of an oral glucose load. However, maximal accumulation of glucokinase mRNA was short-lived and the mRNA level returned toward basal values by 18 h of refeeding. These data point to rapid and massive effects on the expression of the glucokinase gene at the transcriptional or post-transcriptional levels during ontogenic development and dietary changes in the adult animal.

Animals↗
PubMed2004

Optimal number of features as a function of sample size for various classification rules.

MOTIVATION: Given the joint feature-label distribution, increasing the number of features always results in decreased classification error; however, this is not the case when a classifier is designed via a classification rule from sample data. Typically (but not always), for fixed sample size, the error of a designed classifier decreases and then increases as the number of features grows. The potential downside of using too many features is most critical for small samples, which are commonplace for gene-expression-based classifiers for phenotype discrimination. For fixed sample size and feature-label distribution, the issue is to find an optimal number of features. RESULTS: Since only in rare cases is there a known distribution of the error as a function of the number of features and sample size, this study employs simulation for various feature-label distributions and classification rules, and across a wide range of sample and feature-set sizes. To achieve the desired end, finding the optimal number of features as a function of sample size, it employs massively parallel computation. Seven classifiers are treated: 3-nearest-neighbor, Gaussian kernel, linear support vector machine, polynomial support vector machine, perceptron, regular histogram and linear discriminant analysis. Three Gaussian-based models are considered: linear, nonlinear and bimodal. In addition, real patient data from a large breast-cancer study is considered. To mitigate the combinatorial search for finding optimal feature sets, and to model the situation in which subsets of genes are co-regulated and correlation is internal to these subsets, we assume that the covariance matrix of the features is blocked, with each block corresponding to a group of correlated features. Altogether there are a large number of error surfaces for the many cases. These are provided in full on a companion website, which is meant to serve as resource for those working with small-sample classification. AVAILABILITY: For the companion website, please visit http://public.tgen.org/tamu/ofs/ CONTACT: e-dougherty@ee.tamu.edu.

Algorithms↗
PubMed2004

Site-specific immobilization of biotinylated proteins for protein microarray analysis.

The postgenome era has led to a new frontier of proteomics that requires the development of protein microarray, which enables us to unravel the biological function of proteins in a massively parallel fashion. Several ways of immobilizing proteins onto surfaces have been reported, but many of these attachments are unspecific, resulting in the unfavorable orientation of the immobilized proteins. His6 tag has been used to site-specifically immobilize proteins onto nickel-coated slides, which presumably oriented proteins uniformly on the surface of the slide. However, the binding between Ni-NTA and His tag proteins is not strong, causing the immobilized proteins to dissociate from the slide even under simple wash conditions. The authors have developed a novel strategy of using an intein-mediated expression system to generate biotinylated proteins suitable for immobilization onto avidin-functionalized glass slides. Array-scan results not only show successful immobilization of proteins onto slides by antibody detection method but also full retention of biological activities of the immobilized proteins. The strong and specific interaction between biotin and avidin also permits the use of stringent incubation and washing conditions on the protein microchip, thus making it a highly robust method for array studies.

Avidin↗
PubMed2004

Conformation of membrane-associated proapoptotic tBid.

The proapoptotic Bcl-2 family protein Bid is cleaved by caspase-8 to release the C-terminal fragment tBid, which translocates to the outer mitochondrial membrane and induces massive cytochrome c release and cell death. In this study, we have characterized the conformation of tBid in lipid membrane environments, using NMR and CD spectroscopy with lipid micelle and lipid bilayer samples. In micelles, tBid adopts a unique helical conformation, and the solution NMR (1)H/(15)N HSQC spectra have a single well resolved resonance for each of the protein amide sites. In lipid bilayers, tBid associates with the membrane with its helices parallel to the membrane surface and without trans-membrane helix insertion, and the solid-state NMR (1)H/(15)N polarization inversion with spin exchange at the magic angle spectrum has all of the amide resonances centered at (15)N chemical shift (70-90 ppm) and (1)H-(15)N dipolar coupling (0-5 kHz) frequencies associated with NH bonds parallel to the bilayer surface, with no intensity at frequencies associated with NH bonds in trans-membrane helices. Thus, the cytotoxic activity of tBid at mitochondria may be similar to that observed for antibiotic polypeptides, which bind to the surface of bacterial membranes as amphipathic helices and destabilize the bilayer structure, promoting the leakage of cell contents.

Amino Acid Sequence↗
PubMed2025

Dosa: A method to covalently barcode proteins for high throughput biochemistry.

Deep mutational scanning couples a protein's activity to DNA sequencing for high throughput assessment of the effects of all single amino acid substitutions, but it largely uses indirect assays, like growth, as proxy for protein activity. Here, we covalently link variant proteins in vivo to an RNA barcode by fusing them to E. coli tRNA (m5U54) methyltransferase TrmA (E358Q), which forms a covalent bond with a tRNA stem-loop. Following cell lysis, variant proteins are separated in vitro according to their biochemical properties and identified by their barcodes. We use this method, Dosa, to analyze a large pool of FLAG epitope variants for binding to an anti-FLAG antibody, to profile the cleavage preferences of variants of enteropeptidase and human rhinovirus 3C protease, and to measure the solubility of several hundred Aβ(1-42) variants. This method should be amenable to numerous biochemical assays with proteins produced in E. coli or mammalian cells.

Protein display↗
PubMed2001

Toxicity of novel C-terminal prion protein fragments and peptides harbouring disease-related C-terminal mutations.

Mice expressing a C-terminal fragment of the prion protein instead of wild-type prion protein die from massive neuronal degeneration within weeks of birth. The C-terminal region of PrPc (PrP121-231) expressed in these mice has an intrinsic neurotoxicity to cultured neurones. Unlike PrPSc, which is not neurotoxic to neurones lacking PrPc expression, PrP121-231 was more neurotoxic to PrPc-deficient cells. Human mutations E200K and F198S were found to enhance toxicity of PrP121-231 to PrP-knockout neurones and E200K enhanced toxicity to wild-type neurones. The normal metabolic cleavage point of PrPc is approximately amino-acid residue 113. A fragment of PrPc corresponding to the whole C-terminus of PrPc (PrP113-231), which is eight amino acids longer than PrP121-231, lacked any toxicity. This suggests the first eight amino residues of PrP113-121 suppress toxicity of the toxic domain in PrP121-231. Addition to cultures of a peptide (PrP112-125) corresponding to this region, in parallel with PrP121-231, suppressed the toxicity of PrP121-231. These results suggest that the prion protein contains two domains that are toxic on their own but which neutralize each other's toxicity in the intact protein. Point mutations in the inherited forms of disease might have their effects by diminishing this inhibition.

Amino Acid Sequence↗
PubMed2006

TOM: a web-based integrated approach for identification of candidate disease genes.

The massive production of biological data by means of highly parallel devices like microarrays for gene expression has paved the way to new possible approaches in molecular genetics. Among them the possibility of inferring biological answers by querying large amounts of expression data. Based on this principle, we present here TOM, a web-based resource for the efficient extraction of candidate genes for hereditary diseases. The service requires the previous knowledge of at least another gene responsible for the disease and the linkage area, or else of two disease associated genetic intervals. The algorithm uses the information stored in public resources, including mapping, expression and functional databases. Given the queries, TOM will select and list one or more candidate genes. This approach allows the geneticist to bypass the costly and time consuming tracing of genetic markers through entire families and might improve the chance of identifying disease genes, particularly for rare diseases. We present here the tool and the results obtained on known benchmark and on hereditary predisposition to familial thyroid cancer. Our algorithm is available at http://www-micrel.deis.unibo.it/~tom/.

Algorithms↗
PubMed2006

Automated target preparation for microarray-based gene expression analysis.

DNA microarrays have rapidly evolved toward a platform for massively paralleled gene expression analysis. Despite its widespread use, the technology has been criticized to be vulnerable to technical variability. Addressing this issue, recent comparative, interplatform, and interlaboratory studies have revealed that, given defined procedures for "wet lab" experiments and data processing, a satisfactory reproducibility and little experimental variability can be achieved. In view of these advances in standardization, the requirement for uniform sample preparation becomes evident, especially if a microarray platform is used as a facility, i.e., by different users working in the laboratory. While one option to reduce technical variability is to dedicate one laboratory technician to all microarray studies, we have decided to automate the entire RNA sample preparation implementing a liquid handling system coupled to a thermocycler and a microtiter plate reader. Indeed, automated RNA sample preparation prior to chip analysis enables (1) the reduction of experimentally caused result variability, (2) the separation of (important) biological variability from (undesired) experimental variation, and (3) interstudy comparison of gene expression results. Our robotic platform can process up to 24 samples in parallel, using an automated sample preparation method that produces high-quality biotin-labeled cRNA ready to be hybridized on Affymetrix GeneChips. The results show that the technical interexperiment variation is less pronounced than with manually prepared samples. Moreover, experiments using the same starting material showed that the automated process yields a good reproducibility between samples.

Animals↗
PubMed1996

Effects of neonatal administration of octreotide, a long-lasting somatostatin analogue, on growth hormone regulation in the adult rat.

The pulsatile pattern of GH secretion slowly develop in the postnatal period concomitantly with the dual network of GHRH and somatostatin (SRIH) hypothalamic neurons. We investigated whether an early postnatal treatment with a long acting SRIH analogue, octreotide, could affect maturation and subsequent operation of those networks in the adult rat. Octreotide administration (5 mu g/rat SC) every other day during the first 10 days of life resulted in growth retardation in the adult. In parallel, the amplitude of plasma GH secretory episodes in free moving unanesthetized animals was markedly reduced. The numbers of arcuate GHRH mRNA-containing and periventricular SRIH-mRNA containing neurons were not affected by the treatment. GHRH mRNA levels per neuron however was decreased by 30%, and median eminence GHRH stores by 50%. SRIH expression in the arcuate nucleus was also diminished, as was the number of 125I-SRIH labeled neurons in that nucleus. The effects of octreotide were compared to the hyposomatotropinemia induced by administration of monosodium glutamate (MSG), every other day during the first 10 days of life. Growth retardation and inhibition of GH secretory episodes in adult rats neonatally treated with MSG were slightly more pronounced than after octreotide. In contrast to octreotide, MSG induced a massive loss of GHRH neurons and a concomitant decrease in 125I-SRIH binding. Somatostatin did not protect GHRH neurons against the neurotoxic action of MSG since octreotide treatment did not further affect any of the parameters impaired by MSG. In conclusion, these experiments demonstrate that neonatally injected octreotide cannot counteract the toxic effect of MSG on arcuate neurons. However, a neonatal treatment with the SRIH agonist affects permanently growth rate and GH pulsatility. This effect is mediated in the hypothalamus by permanently impairing the neural networks that control GH secretion.

Animals↗
PubMed2003

Trypanosoma brucei RNA editing complex: band II is structurally critical and maintains band V ligase, which is nonessential.

Maturation of Trypanosoma brucei mitochondrial mRNA involves massive posttranscriptional insertion and deletion of uridine residues. This RNA editing utilizes an enzymatic complex with seven major proteins, band I through band VII. We here use RNA interference (RNAi) to examine the band II and band V proteins. Band II is found essential for viability; it is needed to maintain the normal structure of the editing complex and to retain the band V ligase protein. Previously, band III was found essential for certain activities, including maintenance of the editing complex and retention of the band IV ligase protein. Thus, band II and band V form a protein pair with features analogous to the band III/band IV ligase pair. Since band V is specific for U insertion and since band IV is needed for U deletion, their parallel organization suggests that the editing complex has a pseudosymmetry. However, unlike the essential band IV ligase, RNAi to band V has only a morphological but no growth rate effect, suggesting that it is stimulatory but nonessential. Indeed, in vitro analysis of band V RNAi cell extract demonstrates that band IV can seal U insertion when band V is lacking. Thus, band IV ligase is the first activity of the basic editing complex shown able to serve in both forms of editing. Our studies also indicate that the U insertional portion may be less central in the editing complex than the corresponding U deletional portion.

Amino Acid Sequence↗
PubMed1995

Hagfish biopolymer: a type I/type II homologue of epidermal keratin intermediate filaments.

In contrast to most intermediate filaments (IF) which function intracellularly or constitute epidermal appendages, the single massive (approximately 60 cm length, approximately 3 microns width) IF-rich 'thread' biopolymer synthesized by the specialized hagfish gland thread cell is released extracellularly via holocrine secretion to interact with mucins and seawater, thereby modifying the viscoelastic properties of the copious mucous exudate. Recently, using the Pacific hagfish (Eptatretus stouti, class Agnatha), a jawless scaleless marine vertebrate of ancient lineage, we determined that the deduced amino acid sequence of one thread IF chain (alpha, 66.6 kDa, native pI 7.5) contained an atypical, threonine-rich central rod domain of low identity (< 30%) with other vertebrate IF types, but that the N- and C-terminal domains exhibited several keratin-like features. From these and other unexpected characteristics, it was concluded that hagfish alpha is best categorized as a type II homologue of an epidermal keratin. We now report the deduced sequence of a second thread IF subunit (gamma, 62.7 kDa, native pI 5.3) which is co-expressed and co-assembles in vitro with alpha in a 1:1 ratio. As was found for alpha, the N- and C-terminal domains of gamma have keratin-like parameters, but the central rod has low identity to IFs of types I-V (< 31%), a cephalochordate IF (< 29%) and invertebrate IFs (< 20%) and no particular homology to type I or type II keratins. Central rod identity between gamma and alpha is also low (approximately 23%), as is typical of comparisons between different rod types but atypical of similar rod types (> 50%). The central rods of both gamma and alpha lack the 42-residue insert of helix 1B present in lamins and invertebrate IFs, have unusually high threonine contents (gamma, 10%; alpha, 13%) compared to other IF types (2-5%), contain a number of unexpected residues in consensus conserved sites, and employ a L12 segment of 21 residues rather than the 16 or 17 residues found in keratins. Theoretical analyses indicate that the hagfish molecules exist as coiled coil heterodimers (alpha/gamma) in which the chains are parallel, in axial register, and stabilized by significant numbers of ionic interactions. Fast Fourier-transform analyses revealed that the linear distribution period of approximately 9.55 for basic and acidic residues in other IF chains is not completely maintained, partly due to the high threonine content. The threonine residues occupy mainly outer sites b, c, f in the heptad substructure, possibly abetting parallel alignment of thousands of IFs within the thread, interactions with mucins at the thread periphery, and hierarchical IF chain assembly. It is suggested that the gamma and alpha chains from this most primitive extant vertebrate are type I and type II homologues of epidermal keratin chains, possibly related to early specialized keratins.

Amino Acid Sequence↗
PubMed1995

Autocrine/paracrine role of insulin-related growth factors in neurogenesis: local expression and effects on cell proliferation and differentiation in retina.

Early neurogenesis progresses by an initial massive proliferation of neuroepithelial cells followed by a sequential differentiation of the various mature neural cell types. The regulation of these processes by growth factors is poorly understood. We intend to understand, in a well-defined biological system, the embryonic chicken retina, the role of the insulin-related growth factors in neurogenesis. We demonstrate the local presence of signaling elements together with a biological response to the factors. Neuroretina at days 6-8 of embryonic development (E6-E8) expressed proinsulin/insulin and insulin-like growth factor I (IGF-I) mRNAs as well as insulin receptor and IGF type I receptor mRNAs. In parallel with this in vivo gene expression, E5 cultured neuroretinas synthesized and released to the medium a metabolically radiolabeled immunoprecipitable insulin-related peptide. Furthermore, insulin-related immunoreactive material with a HPLC mobility close to that of proinsulin was found in the E6-E8 vitreous humor. Exogenous chicken IGF-I, human insulin, and human proinsulin added to E6 cultured neuroretinas showed relatively close potencies stimulating proliferation, as determined by [methyl-3H]thymidine incorporation, with a plateau reached at 10(-8) M. These factors also stimulated neuronal differentiation, indicated by the expression of the neuron-specific antigen G4. Thus, insulin-related growth factors, interestingly including proinsulin, are present in the developing chicken retina and appear to play an autocrine/paracrine stimulatory role in the progression of neurogenesis.

Animals↗
PubMed2002

[Transcriptomes for serial analysis of gene expression].

The availability of the sequences for whole genomes is changing our understanding of cell biology. Functional genomics refers to the comprehensive analysis, at the protein level (proteome) and at the mRNA level (transcriptome) of all events associated with the expression of whole sets of genes. New methods have been developed for transcriptome analysis. Serial Analysis of Gene Expression (SAGE) is based on the massive sequential analysis of short cDNA sequence tags. Each tag is derived from a defined position within a transcript. Its size (14 bp) is sufficient to identify the corresponding gene and the number of times each tag is observed provides an accurate measurement of its expression level. Since tag populations can be widely amplified without altering their relative proportions, SAGE may be performed with minute amounts of biological extract. Dealing with the mass of data generated by SAGE necessitates computer analysis. A software is required to automatically detect and count tags from sequence files. Criterias allowing to assess the quality of experimental data can be included at this stage. To identify the corresponding genes, a database is created registering all virtual tags susceptible to be observed, based on the present status of the genome knowledge. By using currently available database functions, it is easy to match experimental and virtual tags, thus generating a new database registering identified tags, together with their expression levels. As an open system, SAGE is able to reveal new, yet unknown, transcripts. Their identification will become increasingly easier with the progress of genome annotation. However, their direct characterization can be attempted, since tag information may be sufficient to design primers allowing to extend unknown sequences. A major advantage of SAGE is that, by measuring expression levels without reference to an arbitrary standard, data are definitively acquired and cumulative. All publicly available data can thus be stored in a unique database, facilitating whole-genome analysis of differential expression between cell types, normal and diseased samples, or samples with and without drug treatment. SAGE data are readily amenable to statistical comparisons, allowing to determine the level of confidence of the observed variations. A major limitation of SAGE is that, because each analysis is obligatory performed on the whole set of expressed genes, it can hardly be performed on multiple samples, for example in kinetics studies or to compare the effects of large numbers of drugs. To overcome this limitation, high-throughput detection of a subset of mRNAs is more rapidly performed by parallel hybridization of mRNAs on arrays of nucleic acids immobilized on solid supports. From this point of view, a SAGE platform is a powerful instrument for selecting the most informative subset of genes, assembling them to design microarrays dedicated to a specific problem and calibrating measurement by comparison with a standard cell model for which SAGE data are available. This approach is an attractive alternative to strategies based exclusively on pangenomic arrays. A very large amount of SAGE data are already available and the problem is now to extract their biological meaning. Knowledge on metabolic pathways is already organized so that its successful integration in a SAGE platform can be undertaken. For other cell components and pathways, the problem lies on the lack of controlled vocabulary to describe gene activities, starting form a clear definition of the concept of biological function itself. Progress in gene and cell ontology is expected to facilitate computer-based extraction of biological knowledge from existing and forthcoming SAGE data.

Animals↗
PubMed2005

Development of a large-scale chemogenomics database to improve drug candidate selection and to understand mechanisms of chemical toxicity and action.

Successful drug discovery requires accurate decision making in order to advance the best candidates from initial lead identification to final approval. Chemogenomics, the use of genomic tools in pharmacology and toxicology, offers a promising enhancement to traditional methods of target identification/validation, lead identification, efficacy evaluation, and toxicity assessment. To realize the value of chemogenomics information, a contextual database is needed to relate the physiological outcomes induced by diverse compounds to the gene expression patterns measured in the same animals. Massively parallel gene expression characterization coupled with traditional assessments of drug candidates provides additional, important mechanistic information, and therefore a means to increase the accuracy of critical decisions. A large-scale chemogenomics database developed from in vivo treated rats provides the context and supporting data to enhance and accelerate accurate interpretation of mechanisms of toxicity and pharmacology of chemicals and drugs. To date, approximately 600 different compounds, including more than 400 FDA approved drugs, 60 drugs approved in Europe and Japan, 25 withdrawn drugs, and 100 toxicants, have been profiled in up to 7 different tissues of rats (representing over 3200 different drug-dose-time-tissue combinations). Accomplishing this task required evaluating and improving a number of in vivo and microarray protocols, including over 80 rigorous quality control steps. The utility of pairing clinical pathology assessments with gene expression data is illustrated using three anti-neoplastic drugs: carmustine, methotrexate, and thioguanine, which had similar effects on the blood compartment, but diverse effects on hepatotoxicity. We will demonstrate that gene expression events monitored in the liver can be used to predict pathological events occurring in that tissue as well as in hematopoietic tissues.

5-Aminolevulinate Synthetase↗
PubMed2005

Harnessing the power of gene microarrays for the study of brain aging and Alzheimer's disease: statistical reliability and functional correlation.

During normal brain aging, numerous alterations develop in the physiology, biochemistry and structure of neurons and glia. Aging changes occur in most brain regions and, in the hippocampus, have been linked to declining cognitive performance in both humans and animals. Age-related changes in hippocampal regions also may be harbingers of more severe decrements to come from neurodegenerative disorders such as Alzheimer's disease (AD). However, unraveling the mechanisms underlying brain aging, AD and impaired function has been difficult because of the complexity of the networks that drive these aging-related changes. Gene microarray technology allows massively parallel analysis of most genes expressed in a tissue, and therefore is an important new research tool that potentially can provide the investigative power needed to address the complexity of brain aging/neurodegenerative processes. However, along with this new analytic power, microarrays bring several major bioinformatics and resource problems that frequently hinder the optimal application of this technology. In particular, microarray analyses generate extremely large and unwieldy data sets and are subject to high false positive and false negative rates. Concerns also have been raised regarding their accuracy and uniformity. Furthermore, microarray analyses can result in long lists of altered genes, most of which may be difficult to evaluate for functional relevance. These and other problems have led to some skepticism regarding the reliability and functional usefulness of microarray data and to a general view that microarray data should be validated by an independent method. Given recent progress, however, we suggest that the major problem for current microarray research is no longer validity of expression measurements, but rather, the reliability of inferences from the data, an issue more appropriately redressed by statistical approaches than by validation with a separate method. If tested using statistically defined criteria for reliability/significance, microarray data do not appear a priori to require more independent validation than data obtained by any other method. In fact, because of added confidence from co-regulation, they may require less. In this article we also discuss our strategy of statistically correlating individual gene expression with biologically important endpoints designed to address the problem of evaluating functional relevance. We also review how work by ourselves and others with this powerful technology is leading to new insights into the complex processes of brain aging and AD, and to novel, more comprehensive models of aging-related brain change.

Aging↗
PubMed2001

Control of the proinflammatory state in cystic fibrosis lung epithelial cells by genes from the TNF-alphaR/NFkappaB pathway.

BACKGROUND: Cystic fibrosis (CF) is the most common, lethal autosomal recessive disease affecting children in the United States and Europe. Extensive work is being performed to develop both gene and drug therapies. The principal mutation causing CF is in the CFTR gene ([Delta F508]CFTR). This mutation causes the mutant protein to traffic poorly to the plasma membrane, and degrades CFTR chloride channel activity. CPX, a candidate drug for CF, binds to mutant CFTR and corrects the trafficking deficit. CPX also activates mutant CFTR chloride channel activity. CF airways are phenotypically inundated by inflammatory signals, primarily contributed by sustained secretion of the proinflammatory cytokine interleukin 8 (IL-8) from mutant CFTR airway epithelial cells. IL-8 production is controlled by genes from the TNF-alphaR/NFkappaB pathway, and it is possible that the CF phenotype is due to dysfunction of genes from this pathway. In addition, because drug therapy with CPX and gene therapy with CFTR have the same common endpoint of raising the levels of CFTR, we have hypothesized that either approach should have a common genomic endpoint. MATERIALS AND METHODS: To test this hypothesis, we studied IL-8 secretion and global gene expression in IB-3 CF lung epithelial cells. The cells were treated by either gene therapy with wild-type CFTR, or by pharmacotherapy with the CFTR-surrogate drug CPX. CF cells, treated with either CFTR or CPX, were also exposed to Pseudomonas aeruginosa, a common chronic pathogen in CF patients. cDNA microarrays were used to assess global gene expression under the different conditions. A novel bioinformatic algorithm (GENESAVER) was developed to identify genes whose expression paralleled secretion of IL-8. RESULTS: We report here that IB3 CF cells secrete massive levels of IL-8. However, both gene therapy with CFTR and drug therapy with CPX substantially suppress IL-8 secretion. Nonetheless, both gene and drug therapy allow the CF cells to respond with physiologic secretion of IL-8 when the cells are exposed to P. aeruginosa. Thus, neither CFTR nor CPX acts as a nonspecific suppressor of IL-8 secretion from CF cells. Consistently, pharmacogenomic analysis indicates that CF cells treated with CPX greatly resemble CF cells treated with CFTR by gene therapy. Additionally, the same result obtains in the presence of P. aeruginosa. Classical hierarchical cluster analysis, based on similarity of global gene expression, also supports this conclusion. The GENESAVER algorithm, using the IL-8 secretion level as a physiologic variable, identifies a subset of genes from the TNF-alphaR/NFkappaB pathway that is expressed in phase with IL-8 secretion from CF epithelial cells. Certain other genes, previously known to be positively associated with CF, also fall into this category. Identified genes known to code for known inhibitors are expressed inversely, out of phase with IL-8 secretion. CONCLUSIONS: Wild-type CFTR and CPX both suppress proinflammatory IL-8 secretion from CF epithelial cells. The mechanism, as defined by pharmacogenomic analysis, involves identified genes from the TNF-alphaR/NFkappaB pathway. The close relationship between IL-8 secretion and genes from the TNF-alphaR/NFkappaB pathway suggests that molecular or pharmaceutical targeting of these novel genes may have strategic use in the development of new therapies for CF. From the perspective of global gene expression, both gene and drug therapy have similar genomic consequences. This is the first example showing equivalence of gene and drug therapy in CF, and suggests that a gene therapy-defined endpoint may prove to be a powerful paradigm for CF drug discovery. Finally, because the GENESAVER algorithm is capable of isolating disease-relevant genes in a hypothesis-driven manner without recourse to any a priori knowledge about the system, this new algorithm may also prove useful in applications to other genetic diseases.

Algorithms↗