Uncharacterized Pathways Research Articles

Meiotic Interactors of a Mitotic Gene TAO3 Revealed by Functional Analysis of its Rare Variant.

Studying the molecular consequences of rare genetic variants has the potential to identify novel and hitherto uncharacterized pathways causally contributing to phenotypic variation. Here, we characterize the functional consequences of a rare coding variant of TAO3, previously reported to contribute significantly to sporulation efficiency variation in Saccharomyces cerevisiae. During mitosis, the common TAO3 allele interacts with CBK1—a conserved NDR kinase. Both TAO3 and CBK1 are components of the RAM signaling network that regulates cell separation and polarization during mitosis. We demonstrate that the role of the rare allele TAO3(4477C) in meiosis is distinct from its role in mitosis by being independent of ACE2—a RAM network target gene. By quantitatively measuring cell morphological dynamics, and expressing the TAO3(4477C) allele conditionally during sporulation, we show that TAO3 has an early role in meiosis. This early role of TAO3 coincides with entry of cells into meiotic division. Time-resolved transcriptome analyses during early sporulation identified regulators of carbon and lipid metabolic pathways as candidate mediators. We show experimentally that, during sporulation, the TAO3(4477C) allele interacts genetically with ERT1 and PIP2, regulators of the tricarboxylic acid cycle and gluconeogenesis metabolic pathways, respectively. We thus uncover a meiotic functional role for TAO3, and identify ERT1 and PIP2 as novel regulators of sporulation efficiency. Our results demonstrate that studying the causal effects of genetic variation on the underlying molecular network has the potential to provide a more extensive understanding of the pathways driving a complex trait.

Methods to Identify Chromatin-Bound Protein Complexes: From Genome-Wide to Locus-Specific Approaches.

High-throughput sequencing approaches coupled with functional genomics experiments have facilitated a rapid growth in our understanding of chromatin biology, from genome-wide maps of transcription factor binding and histone modifications to insights into higher order chromatin organization under specific cellular conditions. However in most cases these methods require a prior knowledge of the system of interest (e.g., targets for immunoprecipitation or modulation) and therefore are limited in their utility to identify novel components of pathways or for the study of uncharacterized pathways. Several orthologous proteomics approaches have been developed recently that bridge this gap, allowing the identification of protein complexes globally or at specific genomic loci. In this chapter the relative advantages of each approach will be explored and a detailed protocol given for DNA pull-down of a specific androgen receptor (AR) genomic target.

Metagenomics as a Tool for Enzyme Discovery: Hydrolytic Enzymes from Marine-Related Metagenomes.

This chapter discusses metagenomics and its application for enzyme discovery, with a focus on hydrolytic enzymes from marine metagenomic libraries. With less than one percent of culturable microorganisms in the environment, metagenomics, or the collective study of community genetics, has opened up a rich pool of uncharacterized metabolic pathways, enzymes, and adaptations. This great untapped pool of genes provides the particularly exciting potential to mine for new biochemical activities or novel enzymes with activities tailored to peculiar sets of environmental conditions. Metagenomes also represent a huge reservoir of novel enzymes for applications in biocatalysis, biofuels, and bioremediation. Here we present the results of enzyme discovery for four enzyme activities, of particular industrial or environmental interest, including esterase/lipase, glycosyl hydrolase, protease and dehalogenase.

Reverse two-hybrid techniques in the yeast Saccharomyces cerevisiae.

Use of the yeast two-hybrid system has provided definition to many previously uncharacterized pathways through the identification and characterization of novel protein-protein interactions. The two-hybrid system uses the bifunctional nature of transcription factors, such as the yeast enhancer Gal4, to allow protein-protein interactions to be monitored through changes in transcription of reporter genes. Once a positive interaction has been identified, either of the interacting proteins can be mutated by site-specific or randomly introduced changes, to produce proteins with a decreased ability to interact. Mutants generated using this strategy are very powerful reagents in tests of the biological significance of the interaction and in defining the residues involved in the interaction. Such techniques are termed reverse two-hybrid methods. We describe a reverse two-hybrid method that generates loss-of-interaction mutations of the catalytic subunit of the Escherichia coli heat-labile toxin (LTA1) with decreased binding to the active (GTP-bound) form of human ARF3, its protein cofactor. While newer methods are emerging for performing interaction screens in mammalian cells, instead of yeast, the use of reverse two-hybrid in yeast remains a robust and powerful means of identifying loss-of-interaction point mutants and compensating changes that remain among the most powerful tools of testing the biological significance of a protein-protein interaction.

Screening for stress-resistance mutations in the mouse.

Longevity is correlated with stress resistance in many animal models. However, previous efforts through the boosting of the antioxidant defense system did not extend life span, suggesting that longevity related stress resistance is mediated by other uncharacterized pathways. We have developed a high-throughput platform for screening and rapid identification of novel genetic mutants in the mouse that are stress resistant. Selection for resistance to stressors occurs in mutagenized mouse embryonic stem (ES) cells, which are carefully treated so as to maintain pluripotency for mouse production. Initial characterization of these mutant ES cells revealed mutations in Pigl, Tiam1, and Rffl, among others. These genes are implicated in glycosylphosphatidylinositol biosynthesis, NADPH oxidase function, and inflammation. These mutants: (1) are resistant to two different oxidative stressors, paraquat and the omission of 2-mercaptoethanol, (2) have reduced levels of endogenous reactive oxygen species (ROS), (3) are capable of generating live mice, and (4) transmit the stress resistance phenotype to the mice. This strategy offers an efficient way to select for new mutants expressing a stress resistance phenotype, to rapidly identify the causative genes, and to develop mice for in vivo studies.

The tyrosine kinase Lyn limits the cytokine responsiveness of plasma cells to restrict their accumulation in mice.

Maintenance of an appropriate number of plasma cells, long-lived antibody-producing cells that are derived from B cells, is essential for maintaining immunological memory while limiting disease. Plasma cell survival relies on extrinsic factors, the limited availability of which determines the size of the plasma cell population. Mice deficient in the nonreceptor tyrosine kinase Lyn are prone to an autoimmune disease that is characterized by inflammation and an excess of plasma cells (plasmacytosis). We demonstrated that the plasmacytosis was intrinsic to B cells and independent of inflammation. We also showed that Lyn attenuated signaling by signal transducer and activator of transcription 3 (STAT3) and STAT5 in response to the cytokines interleukin-6 (IL-6) and IL-3, respectively, in two previously uncharacterized plasma cell signaling pathways. Thus, in the absence of Lyn, the survival of plasma cells was improved, which enabled the plasma cells to become established in excess numbers in niches in vivo. These data identify Lyn as a key regulator of survival signaling in plasma cells, limiting plasma cell accumulation and autoimmune disease susceptibility.

Prediction and characterization of enzymatic activities guided by sequence similarity and genome neighborhood networks.

Metabolic pathways in eubacteria and archaea often are encoded by operons and/or gene clusters (genome neighborhoods) that provide important clues for assignment of both enzyme functions and metabolic pathways. We describe a bioinformatic approach (genome neighborhood network; GNN) that enables large scale prediction of the in vitro enzymatic activities and in vivo physiological functions (metabolic pathways) of uncharacterized enzymes in protein families. We demonstrate the utility of the GNN approach by predicting in vitro activities and in vivo functions in the proline racemase superfamily (PRS; InterPro IPR008794). The predictions were verified by measuring in vitro activities for 51 proteins in 12 families in the PRS that represent ∼85% of the sequences; in vitro activities of pathway enzymes, carbon/nitrogen source phenotypes, and/or transcriptomic studies confirmed the predicted pathways. The synergistic use of sequence similarity networks3 and GNNs will facilitate the discovery of the components of novel, uncharacterized metabolic pathways in sequenced genomes.

Benzylisoquinoline Alkaloid Metabolism: A Century of Discovery and a Brave New World

Benzylisoquinoline alkaloids (BIAs) are a structurally diverse group of plant specialized metabolites with a long history of investigation. Although the ecophysiological functions of most BIAs are unknown, the medicinal properties of many compounds have been exploited for centuries. These include the narcotic analgesics codeine and morphine, the antimicrobial agents sanguinarine and berberine, and the antitussive and anticancer drug noscapine. BIA biosynthesis involves a restricted number of enzyme types that catalyze landmark coupling reactions and subsequent functional group modifications. A pathogenesis-related (PR)10/Bet v1 'Pictet-Spenglerase', several O-methyl-, N-methyl- and O-acetyltransferases, cytochromes P450, FAD-dependent oxidases, non-heme dioxygenases and NADPH-dependent reductases have been implicated in the multistep pathways leading to structurally diverse alkaloids. A small number of plant species, including opium poppy (Papaver somniferum) and other members of the Ranunculales, have emerged as model systems to study BIA metabolism. The expansion of resources to include a wider range of plant species is creating an opportunity to investigate previously uncharacterized BIA pathways. Contemporary knowledge of BIA metabolism reflects over a century of research coupled with the development of key innovations such as radioactive tracing, enzyme isolation and molecular cloning, and functional genomics approaches such as virus-induced gene silencing. Recently, the emergence of transcriptomics, proteomics and metabolomics has expedited the discovery of new BIA biosynthetic genes. The growing repository of BIA biosynthetic genes is providing the parts required to apply emerging synthetic biology platforms to the development of production systems in microbes as an alternative to plants as a commecial source of valuable BIAs.

Discovery of New Modules in Metabolic Biology Using ChemoMetabolomics

The use of small molecules to transiently modulate protein function can circumvent the limitations of classical genetic approaches caused by gene redundancy and lethality. Although chemical genomics and genetics screens facilitate the characterization of new biological components, they have infrequently led to the identification of target proteins involved in metabolism. The current state of metabolomics technologies permits the detection of thousands of molecules, allowing the exploration of yet uncharacterized metabolic pathways. The combination of these two approaches, termed here “ChemoMetabolomics”, is a promising application of both technologies. This novel approach will facilitate the detection of metabolic modulators, the dissection of the crosstalk in the metabolic network, and the development of hypotheses on how changes in metabolism affect developmental or cellular responses. Furthermore, it will facilitate the elucidation of the linkage between metabolic and developmental programs and assist the gain of an elaborated view of biological processes at the system level.

Genetic Ablation of Pannexin1 Protects Retinal Neurons from Ischemic Injury

Pannexin1 (Panx1) forms large nonselective membrane channel that is implicated in paracrine and inflammatory signaling. In vitro experiments suggested that Panx1 could play a key role in ischemic death of hippocampal neurons. Since retinal ganglion cells (RGCs) express high levels of Panx1 and are susceptible to ischemic induced injury, we hypothesized that Panx1 contributes to rapid and selective loss of these neurons in ischemia. To test this hypothesis, we induced experimental retinal ischemia followed by reperfusion in live animals with the Panx1 channel genetically ablated either in the entire mouse (Panx1 KO), or only in neurons using the conditional knockout (Panx1 CKO) technology. Here we report that two distinct neurotoxic processes are induced in RGCs by ischemia in the wild type mice but are inactivated in Panx1KO and Panx1 CKO animals. First, the post-ischemic permeation of RGC plasma membranes is suppressed, as assessed by dye transfer and calcium imaging assays ex vivo and in vitro. Second, the inflammasome-mediated activation of caspase-1 and the production of interleukin-1β in the Panx1 KO retinas are inhibited. Our findings indicate that post-ischemic neurotoxicity in the retina is mediated by previously uncharacterized pathways, which involve neuronal Panx1 and are intrinsic to RGCs. Thus, our work presents the in vivo evidence for neurotoxicity elicited by neuronal Panx1, and identifies this channel as a new therapeutic target in ischemic pathologies.

Role of homeobox pathway in prostate carcinogenesis.

126 Background: Identifying aberrant activity of developmental pathways in prostate cancer provides therapeutic opportunities. To this end, despite a shared embryonic origin and similarities to prostate cancer in histology and androgen dependence, seminal vesicle cancer is exceptionally rare. Genomic pathway analyses of their critical developmental differences may reveal uncharacterized oncogenic pathways. Previous attempts to do so have used whole tissue preparations. We hypothesized that careful gene profiling of pure primary epithelial cultures from normal prostate and seminal vesicles would reduce confounding noise during analysis and provide more robust pathway prioritization. Methods: Paired normal prostate and seminal vesicle epithelium cultures were created from three de-identified patients. Derived gene expression profiles were grouped into cancer biomodules using a protein-protein network algorithm to analyze their relationship to known oncogenes. Each resultant biomodule was assayed for its prognostic ability in independent Kaplan-Meier analyses of prostate cancer patients for time to recurrence and overall survival. Protein products from prioritized biomodule genes were then evaluated in vitro. Results: Gene expression profiling and protein network prioritization resulted in three cancer biomodules. Survival analysis revealed that the embryonic developmental biomodule centered on homeobox genes Meis1, Meis2 and Pbx1 to have clinical import. This homeobox biomodule detected a survival difference in a set of active surveillance patients (n=172, p=0.05) and identified men who were more likely to recur biochemically post-prostatectomy (n=78, p=0.02). We analyzed in vitro protein expression of Meis1, Meis2, Pbx1 and confirmed decreased gene expression in independent datasets of prostate cancer versus normal tissue. Conclusions: The Meis1/Meis2/Pbx1 biomodule may explain key differences in seminal vesicle and normal prostate epithelium development. In contrast to other cancers, Meis1, Meis2, and Pbx1 may play a tumor suppressor role in prostate cancer. Thus deregulation of this biomodule may be critical in prostate cancer oncogenesis.

Reactive Oxygen Species and the Regulation of Hyperproliferation in a Colonial Hydroid

Colonies of Podocoryna carnea circulate gastrovascular fluid among polyps via tubelike stolons. At polyp-stolon junctions, mitochondrion-rich cells in part regulate this gastrovascular flow. During competition, colonies hyperproliferate nematocytes and stolons; nematocysts are discharged until one colony is killed. Hyperproliferation then ceases, and normal growth resumes. Here, competing colonies were treated with azide, which inhibits respiration and upregulates reactive oxygen species (ROS). After the cessation of competition, azide-treated colonies continued to hyperproliferate. In azide-treated competing colonies, however, mitochondrion-rich cells were found to produce similar amounts of ROS as those in untreated competing colonies. Subsequent experiments showed that both azide treatment and competition diminished the lumen widths at polyp-stolon junctions, where mitochondrion-rich cells are found. In competing colonies, these diminished widths may also diminish the metabolic demand on these cells, causing mitochondria to enter the resting state and emit more ROS. Indeed, results with two fluorescent probes show that mitochondrion-rich cells in competing colonies produce more ROS than those in noncompeting colonies. In sum, these results suggest that competition perturbs the usual activity of mitochondrion-rich cells, altering their redox state and increasing ROS formation. Via uncharacterized pathways, these ROS may contribute to hyperproliferation.

Understanding the Physiological and Molecular Mechanism of Persistent Organic Pollutant Uptake and Detoxification in Cucurbit Species (Zucchini and Squash)

Cucurbita pepo ssp pepo (zucchini) roots phytoextract significant amounts of persistent organic pollutants (POPs) from soil, followed by effective translocation to aboveground tissues. The closely related C. pepo ssp ovifera (squash) does not have this ability. In a DDE-contaminated field soil, zucchini roots and stems contained 3.6 and 6.6-fold greater contaminant than did squash tissues, respectively, and zucchini phytoextracted 12-times more DDE from soil than squash. In batch hydroponics, squash was significantly more sensitive to DDE (2-20 mg/L) exposure; 4 mg/L DDE significantly reduced squash biomass (14%) whereas for zucchini, biomass reductions were observed at 20 mg/L (20%). PCR select Suppression Subtraction Hybridization was used to identify differentially expressed genes in DDE treated zucchini relative to DDE treated squash or non-treated zucchini. After differential screening to eliminate false positives, unique cDNA clones were sequenced. Out of 40 shoot cDNA sequences, 34 cDNAs have homology to parts of phloem filament protein 1 (PP1). Out of 6 cDNAs from the root tissue, two cDNAs are similar to cytochrome P450 like proteins, and one cDNA matches a putative senescence associated protein. From the DDE exposed zucchini seedlings cDNA library, out of 22 differentially expressed genes, 14 cDNAs were found to have homology with genes involved in abiotic stresses, signaling, lipid metabolism, and photosynthesis. A large number of cDNA sequences were found to encode novel unknown proteins that may be involved in uncharacterized pathways of DDE metabolism in plants. A semiquantitative RT-PCR analysis of isolated genes confirmed up-regulation in response to DDE exposure.

Duplication of the caspase-12 prodomain and inactivation of NLRC4/IPAF in the dog

Caspases-1, 4, 5, and 12 and other proteins containing caspase recruitment domains (CARDs) play crucial roles in the induction of inflammatory processes. Recently, hybrid caspase-1/4 mRNAs encoding proteases with two CARDs were identified in cat and dog, indicating that the molecular machinery of caspase-dependent inflammation has an unconventional composition in members of the order Carnivora. Here we extended these studies and identified, both in cat and dog, splice variants of caspase-12, which also contained two CARDs. Comparative genomics analysis of the repertoire of canine CARD proteins revealed that the gene encoding NLRC4/IPAF, which is implicated in the inflammatory response to cytosolic flagellin, was inactivated by deleterious mutations in the dog. Our results demonstrate that the repertoires of CARD proteins in cat and dog differ significantly from that of humans and suggest the existence of uncharacterized pathways of inflammasome-mediated signaling in Carnivora.

Natural history of the E1‐like superfamily: Implication for adenylation, sulfur transfer, and ubiquitin conjugation

The E1-like superfamily is central to ubiquitin (Ub) conjugation, biosynthesis of cysteine, thiamine, and MoCo, and several secondary metabolites. Yet, its functional diversity and evolutionary history is not well understood. We develop a natural classification of this superfamily and use it to decipher the major adaptive trends occurring in the evolution of the E1-like superfamily. Within the Rossmann fold, E1-like proteins are closest to NAD(P)/FAD-dependent dehydrogenases and S-AdoMet-dependent methyltransferases. Hence, their phosphotransfer activity is an independent catalytic "invention" with respect to such activities seen in other Rossmannoid folds. Sequence and structure analysis reveals a striking diversity of residues and structures involved in adenylation, sulfotransfer, and substrate binding between different E1-like families, allowing us to predict previously uncharacterized functional adaptations. E1-like proteins are fused to several previously undetected domains, such as a predicted sulfur transfer domain containing a novel superfamily of the TATA-binding protein fold, different types of catalytic domains, a novel winged helix-turn-helix domain and potential adaptor domains related to Ub conjugation. On the basis of these fusions, we develop a generalized model for the linking of E1 catalyzed adenylation/thiolation with further downstream reactions. This is likely to involve a dynamic interplay between the E1 active sites and diverse fused C-terminal domains. We also predict participation of E1-like domains in previously uncharacterized bacterial secondary metabolism pathways, new cysteine biosynthesis systems, such as those associated with archaeal O-phosphoseryl tRNA, metal-sulfur cluster assembly (e.g., in nitrogen fixation) and Ub-conjugation. Evolutionary reconstructions suggest that the last universal common ancestor contained a single E1-like domain possessing both phosphotransfer and thiolating activities and participating in multiple sulfotransfer reactions. The E1-like superfamily subsequently expanded to include 26 families clustering into three major radiations. These are broadly involved in Ub activation, cofactor and cysteine biosynthesis, and biosynthesis of secondary metabolites. In light of this, we present evidence that in eukaryotes other E1-like enzymes such as Urm1 were independently recruited for Ubl conjugation, probably functioning without conventional E2-like enzymes.

Computational approaches to study transcriptional regulation

In recent years, a number of technical and experimental advances have allowed us to obtain an unprecedented amount of information about living systems on a genomic scale. Although the complete genomes of many organisms are available due to the progress made in sequencing technology, the challenge to understand how the individual genes are regulated within the cell remains. Here, I provide an overview of current computational methods to investigate transcriptional regulation. I will first discuss how representing protein-DNA interactions as a network provides us with a conceptual framework to understand the organization of regulatory interactions in an organism. I will then describe methods to predict transcription factors and cis-regulatory elements using information such as sequence, structure and evolutionary conservation. Finally, I will discuss approaches to infer genome-scale transcriptional regulatory networks using experimentally characterized interactions from model organisms and by reverse-engineering regulatory interactions that makes use of gene expression data and genomewide location data. The methods summarized here can be exploited to discover previously uncharacterized transcriptional pathways in organisms whose genome sequence is known. In addition, such a framework and approach can be invaluable to investigate transcriptional regulation in complex microbial communities such as the human gut flora or populations of emerging pathogens. Apart from these medical applications, the concepts and methods discussed can be used to understand the combinatorial logic of transcriptional regulation and can be exploited in biotechnological applications, such as in synthetic biology experiments aimed at engineering regulatory circuits for various purposes.

Biochemical networks and epistasis shape the Arabidopsis thaliana metabolome.

Genomic approaches have accelerated the study of the quantitative genetics that underlie phenotypic variation. These approaches associate genome-scale analyses such as transcript profiling with targeted phenotypes such as measurements of specific metabolites. Additionally, these approaches can help identify uncharacterized networks or pathways. However, little is known about the genomic architecture underlying data sets such as metabolomics or the potential of such data sets to reveal networks. To describe the genetic regulation of variation in the Arabidopsis thaliana metabolome and test our ability to integrate unknown metabolites into biochemical networks, we conducted a replicated metabolomic analysis on 210 lines of an Arabidopsis population that was previously used for targeted metabolite quantitative trait locus (QTL) and global expression QTL analysis. Metabolic traits were less heritable than the average transcript trait, suggesting that there are differences in the power to detect QTLs between transcript and metabolite traits. We used statistical analysis to identify a large number of metabolite QTLs with moderate phenotypic effects and found frequent epistatic interactions controlling a majority of the variation. The distribution of metabolite QTLs across the genome included 11 QTL clusters; 8 of these clusters were associated in an epistatic network that regulated plant central metabolism. We also generated two de novo biochemical network models from the available data, one of unknown function and the other associated with central plant metabolism.

γ-Synuclein Is an Adipocyte-Neuron Gene Coordinately Expressed with Leptin and Increased in Human Obesity , ,3

Recently, we characterized tumor suppressor candidate 5 (Tusc5) as an adipocyte-neuron PPARγ target gene. Our objective herein was to identify additional genes that display distinctly high expression in fat and neurons, because such a pattern could signal previously uncharacterized functional pathways shared in these disparate tissues. γ-Synuclein, a marker of peripheral and select central nervous system neurons, was strongly expressed in white adipose tissue (WAT) and peripheral nervous system ganglia using bioinformatics and quantitative PCR approaches. γ-Synuclein expression was determined during adipogenesis and in subcutaneous (SC) and visceral adipose tissue (VAT) from obese and nonobese humans. γ-Synuclein mRNA increased from trace levels in preadipocytes to high levels in mature 3T3-L1 adipocytes and decreased ∼50% following treatment with the PPARγ agonist GW1929 (P < 0.01). Because γ-synuclein limits growth arrest and is implicated in cancer progression in nonadipocytes, we suspected that expression would be increased in situations where WAT plasticity/adipocyte turnover are engaged. Consistent with this postulate, human WAT γ-synuclein mRNA levels consistently increased in obesity and were higher in SC than in VAT; i.e. they increased ∼1.7-fold in obese Pima Indian adipocytes (P = 0.003) and ∼2-fold in SC and VAT of other obese cohorts relative to nonobese subjects. Expression correlated with leptin transcript levels in human SC and VAT (r = 0.887; P < 0.0001; n = 44). γ-Synuclein protein was observed in rodent and human WAT but not in negative control liver. These results are consistent with the hypothesis that γ-synuclein plays an important role in adipocyte physiology.

Effects of rhizobacterial ACC deaminase activity on Arabidopsis indicate that ethylene mediates local root responses to plant growth-promoting rhizobacteria

1-Amino cyclopropane-1-carboxylic acid deaminase (AcdS) is an enzyme that degrades the precursor of plant hormone ethylene. AcdS activity has been identified in many soil bacteria. It has been proposed to play an important role in plant-growth promotion by rhizobacteria. It would lower ethylene level via uncharacterized signaling pathways in the host plant. To further investigate the role of AcdS and the involvement of ethylene signaling pathway in plant development responses to rhizobacteria, we used the model plant Arabidopsis thaliana. We compared the changes in root architecture and root hair length induced by four rhizobacteria ( Phyllobacterium brassicacearum STM196, Pseudomonas putida UW4, Rhizobium leguminosarum bv. viciae 128C53K, Mesorhizobium loti MAFF303099) and by their respective acdS-deficient mutants. All the mutant strains induced similar changes in lateral root development as their WT counterparts. By contrast, root hairs of seedlings inoculated with the acdS mutant strains were significantly longer than those of the plants inoculated with the WT strains. Overall, our results would suggest that rhizobacterial AcdS activity affects local regulatory mechanisms in plant roots, and not lateral root development that is under systemic regulation involving shoot–root dialog.

Participation of FLIP, RIP and Bcl‐xL in Fas‐mediated T‐cell Death

Apart from the conventional Fas signalling pathway, alternative pathways including the mitochondrial caspase-dependent and RIP-mediated cell death routes have been proposed to operate during Fas-mediated cell death. To evaluate the contribution of different Fas signalling pathways, mice overexpressing FLIP(L), Bcl-x(L), a kinase-deficient form of RIP (RIPDeltakin) or combinations thereof were generated by retroviral gene transfer of haematopoietic stem cells. Such mice did not show overt abnormalities in haematopoietic development, defects in thymic deletion, accumulation of double-negative T cells or signs of autoimmunity. Fas-mediated death of mitogen-activated T cells was caspase dependent and could be blocked by FLIP(L) overexpression only with the minor involvement of Bcl-x(L) or RIPDeltakin inhibitable pathways. Fas-mediated death of resting CD4(+) and CD8(+) T cells was mainly caspase dependent but could only partly be blocked by FLIP(L) overexpression. Both Bcl-x(L) or RIPDeltakin expression resulted in partial protection of CD8(+) T cells against Fas-mediated cell death. These results indicate that yet uncharacterized signalling pathways from the Fas receptor are critically involved in lymphoproliferative and autoimmune disease observed in lpr mice and autoimmune lymphoproliferative syndrome patients.