The mTOR-S6K pathway links growth signalling to DNA damage response by targeting RNF168.

Growth signals, such as extracellular nutrients and growth factors, have substantial effects on genome integrity; however, the direct underlying link remains unclear. Here, we show that the mechanistic target of rapamycin (mTOR)-ribosomal S6 kinase (S6K) pathway, a central regulator of growth signalling, phosphorylates RNF168 at Ser60 to inhibit its E3 ligase activity, accelerate its proteolysis and impair its function in the DNA damage response, leading to accumulated unrepaired DNA and genome instability. Moreover, loss of the tumour suppressor liver kinase B1 (LKB1; also known as STK11) hyperactivates mTOR complex 1 (mTORC1)-S6K signalling and decreases RNF168 expression, resulting in defects in the DNA damage response. Expression of a phospho-deficient RNF168-S60A mutant rescues the DNA damage repair defects and suppresses tumorigenesis caused by Lkb1 loss. These results reveal an important function of mTORC1-S6K signalling in the DNA damage response and suggest a general mechanism that connects cell growth signalling to genome stability control.

Comprehensive genomic profiling of different subtypes of nasopharyngeal carcinoma reveals similarities and differences to guide targeted therapy.

BACKGROUND: To date, no targeted therapy has been approved for nasopharyngeal carcinoma (NPC), and this underscores the need for an in-depth understanding of clinically relevant genomic alterations (CRGAs). METHODS: Comprehensive genomic profiling was performed for 190 NPC patients, including 20 patients with nasopharyngeal adenocarcinoma (NPAC), 62 patients with nasopharyngeal squamous cell carcinoma (NPSCC), and 108 patients with nasopharyngeal undifferentiated carcinoma (NPUC). The associations of genes and pathways with subtypes, Epstein-Barr virus (EBV) infections, and the tumor mutation burden (TMB) were statistically evaluated. RESULTS: Although the overall rates of genomic alterations were similar, the 3 NPC subtypes exhibited different mutational landscapes. Notably, mutations in a proven-treatable target gene, isocitrate dehydrogenase 2 (IDH2), were significantly associated with NPUC but not with NPAC or NPSCC. The top 5 ranked CRGAs included CDKN2A (29%), IDH2 (16%), SMARCB1 (7%), PIK3CA (6%), and NF1 (5%) in NPUC; CDKN2A (27%), PIK3CA (23%), FBXW7 (11%), PTEN (11%), and EGFR (8%) in NPSCC; and CDKN2A (20%), KRAS (15%), CCND1 (10%), MAP3K1 (10%), and NOTCH1 (10%) in NPAC. The incidence of EBV infections significantly correlated with the subtypes and with TP53, CDKN2A, and CDKN2B. The TMB status correlated with the subtypes and with LRP1B, FBXW7, and PIK3CA mutations as well as DNA repair, phosphoinositide 3-kinase/mammalian target of rapamycin, and mitogen-activated protein kinase pathways. CONCLUSIONS: These results indicate that different NPC subtypes harbor different CRGAs. Both EBV infections and the TMB are associated with the NPC subtypes as well as the alterations of individual genes and pathways. The high frequency of IDH2 mutations in NPUC may facilitate potential targeted therapy and will ultimately point to new therapeutic strategies. Cancer 2017;123:3628-37. © 2017 American Cancer Society.

Xenopus Piwi proteins interact with a broad proportion of the oocyte transcriptome.

Piwi proteins utilize small RNAs (piRNAs) to recognize target transcripts such as transposable elements (TE). However, extensive piRNA sequence diversity also suggests that Piwi/piRNA complexes interact with many transcripts beyond TEs. To determine Piwi target RNAs, we used ribonucleoprotein-immunoprecipitation (RIP) and cross-linking and immunoprecipitation (CLIP) to identify thousands of transcripts associated with the Piwi proteins XIWI and XILI (Piwi-protein-associated transcripts, PATs) from early stage oocytes of X. laevis and X. tropicalis Most PATs associate with both XIWI and XILI and include transcripts of developmentally important proteins in oogenesis and embryogenesis. Only a minor fraction of PATs in both frog species displayed near perfect matches to piRNAs. Since predicting imperfect pairing between all piRNAs and target RNAs remains intractable, we instead determined that PAT read counts correlate well with the lengths and expression levels of transcripts, features that have also been observed for oocyte mRNAs associated with Drosophila Piwi proteins. We used an in vitro assay with exogenous RNA to confirm that XIWI associates with RNAs in a length- and concentration-dependent manner. In this assay, noncoding transcripts with many perfectly matched antisense piRNAs were unstable, whereas coding transcripts with matching piRNAs were stable, consistent with emerging evidence that Piwi proteins both promote the turnover of TEs and other RNAs, and may also regulate mRNA localization and translation. Our study suggests that Piwi proteins play multiple roles in germ cells and establishes a tractable vertebrate system to study the role of Piwi proteins in transcript regulation.

Unique transposon landscapes are pervasive across Drosophila melanogaster genomes.

To understand how transposon landscapes (TLs) vary across animal genomes, we describe a new method called the Transposon Insertion and Depletion AnaLyzer (TIDAL) and a database of >300 TLs in Drosophila melanogaster (TIDAL-Fly). Our analysis reveals pervasive TL diversity across cell lines and fly strains, even for identically named sub-strains from different laboratories such as the ISO1 strain used for the reference genome sequence. On average, >500 novel insertions exist in every lab strain, inbred strains of the Drosophila Genetic Reference Panel (DGRP), and fly isolates in the Drosophila Genome Nexus (DGN). A minority (<25%) of transposon families comprise the majority (>70%) of TL diversity across fly strains. A sharp contrast between insertion and depletion patterns indicates that many transposons are unique to the ISO1 reference genome sequence. Although TL diversity from fly strains reaches asymptotic limits with increasing sequencing depth, rampant TL diversity causes unsaturated detection of TLs in pools of flies. Finally, we show novel transposon insertions negatively correlate with Piwi-interacting RNA (piRNA) levels for most transposon families, except for the highly-abundant roo retrotransposon. Our study provides a useful resource for Drosophila geneticists to understand how transposons create extensive genomic diversity in fly cell lines and strains.

Conserved piRNA Expression from a Distinct Set of piRNA Cluster Loci in Eutherian Mammals.

The Piwi pathway is deeply conserved amongst animals because one of its essential functions is to repress transposons. However, many Piwi-interacting RNAs (piRNAs) do not base-pair to transposons and remain mysterious in their targeting function. The sheer number of piRNA cluster (piC) loci in animal genomes and infrequent piRNA sequence conservation also present challenges in determining which piC loci are most important for development. To address this question, we determined the piRNA expression patterns of piC loci across a wide phylogenetic spectrum of animals, and reveal that most genic and intergenic piC loci evolve rapidly in their capacity to generate piRNAs, regardless of known transposon silencing function. Surprisingly, we also uncovered a distinct set of piC loci with piRNA expression conserved deeply in Eutherian mammals. We name these loci Eutherian-Conserved piRNA cluster (ECpiC) loci. Supporting the hypothesis that conservation of piRNA expression across ~100 million years of Eutherian evolution implies function, we determined that one ECpiC locus generates abundant piRNAs antisense to the STOX1 transcript, a gene clinically associated with preeclampsia. Furthermore, we confirmed reduced piRNAs in existing mouse mutations at ECpiC-Asb1 and -Cbl, which also display spermatogenic defects. The Asb1 mutant testes with strongly reduced Asb1 piRNAs also exhibit up-regulated gene expression profiles. These data indicate ECpiC loci may be specially adapted to support Eutherian reproduction.

Transposable element dynamics and PIWI regulation impacts lncRNA and gene expression diversity in Drosophila ovarian cell cultures.

Piwi proteins and Piwi-interacting RNAs (piRNAs) repress transposable elements (TEs) from mobilizing in gonadal cells. To determine the spectrum of piRNA-regulated targets that may extend beyond TEs, we conducted a genome-wide survey for transcripts associated with PIWI and for transcripts affected by PIWI knockdown in Drosophila ovarian somatic sheet (OSS) cells, a follicle cell line expressing the Piwi pathway. Despite the immense sequence diversity among OSS cell piRNAs, our analysis indicates that TE transcripts are the major transcripts associated with and directly regulated by PIWI. However, several coding genes were indirectly regulated by PIWI via an adjacent de novo TE insertion that generated a nascent TE transcript. Interestingly, we noticed that PIWI-regulated genes in OSS cells greatly differed from genes affected in a related follicle cell culture, ovarian somatic cells (OSCs). Therefore, we characterized the distinct genomic TE insertions across four OSS and OSC lines and discovered dynamic TE landscapes in gonadal cultures that were defined by a subset of active TEs. Particular de novo TEs appeared to stimulate the expression of novel candidate long noncoding RNAs (lncRNAs) in a cell lineage-specific manner, and some of these TE-associated lncRNAs were associated with PIWI and overlapped PIWI-regulated genes. Our analyses of OSCs and OSS cells demonstrate that despite having a Piwi pathway to suppress endogenous mobile elements, gonadal cell TE landscapes can still dramatically change and create transcriptome diversity.

The capacity of target silencing by Drosophila PIWI and piRNAs.

Although Piwi proteins and Piwi-interacting RNAs (piRNAs) genetically repress transposable elements (TEs), it is unclear how the highly diverse piRNA populations direct Piwi proteins to silence TE targets without silencing the entire transcriptome. To determine the capacity of piRNA-mediated silencing, we introduced reporter genes into Drosophila OSS cells, which express microRNAs (miRNAs) and piRNAs, and compared the Piwi pathway to the Argonaute pathway in gene regulation. Reporter constructs containing several target sites that were robustly silenced by miRNAs were not silenced to the same degrees by piRNAs. However, another set of reporters we designed to enable a large number of both TE-directed and genic piRNAs to bind were robustly silenced by the PIWI/piRNA complex in OSS cells. These reporters show that a bulk of piRNAs are required to pair to the reporter's transcripts and not the reporter's DNA sequence to engage PIWI-mediated silencing. Following our genome-wide study of PIWI-regulated targets in OSS cells, we assessed candidate gene elements with our reporter platform. These results suggest TE sequences are the most direct of PIWI regulatory targets while coding genes are less directly affected by PIWI targeting. Finally, our study suggests that the PIWI transcriptional silencing mechanism triggers robust chromatin changes on targets with sufficient piRNA binding, and preferentially regulates TE transcripts because protein-coding transcripts lack a threshold of targeting by piRNA populations. This reporter platform will facilitate future dissections of the PIWI-targeting mechanism.

Small RNA library construction from minute biological samples.

Increasingly, the discovery and characterization of small regulatory RNAs from a variety of organisms have all required deep-sequencing methodologies. However, the crux to successful deep-sequencing analysis depends upon optimal construction of a cDNA library compatible for the high-throughput sequencing platform. Challenges to small RNA library constructions arise when dealing with minute tissue samples because certain structural RNA fragments can dominate and mask the desired characterization of regulatory small RNAs like microRNAs (miRNAs), endogenous small interfering RNAs (endo-siRNAs), and Piwi-interacting RNAs (piRNAs). Here, we describe methods that improve the chances of constructing a successful library from small RNAs isolated from minute tissues such as enriched follicle cells from the Drosophila ovarium. Because the ribosomal RNA (rRNA) fragments are frequently the major contaminants in small RNA preparations from minute amounts of tissue, we demonstrate the utility of antisense oligonucleotide depletion and an acryloylaminophenylboronic acid (APB) polyacrylamide gel system for separating the abundant 2S rRNA in Drosophila from endo-siRNAs and piRNAs. Finally, our methodology generates libraries amenable to multiplex sequencing on the Illumina Hi-Seq platform.

Possible formation of mitochondrial-RNA containing chimeric or trimeric RNA implies a post-transcriptional and post-splicing mechanism for RNA fusion.

Human cells are known to express many chimeric RNAs, i.e. RNAs containing two genes' sequences. Wondering whether there also is trimeric RNA, i.e. an RNA containing three genes' sequences, we wrote simple computer code to screen human expression sequence tags (ESTs) deposited in different public databases, and obtained hundreds of putative trimeric ESTs. We then used NCBI Blast and UCSC Blat browsers to further analyze their sequences, and identified 61 trimeric and two tetrameric ESTs (one EST containing four different sequences). We also identified 57 chimeric, trimeric or teterameric ESTs that contained both mitochondrial (mt) RNA and nuclear RNA (nRNA), i.e. were mtRNA-nRNA fusions. In some trimeric ESTs, the downstream partner was fused to the poly-A tail of the upstream partner, which, together with the mtRNA-nRNA fusions, suggests a possible new mechanism for RNA fusion that occurs after both transcription and splicing have been terminated, and possibly outside the nucleus, in contrast to the two current hypothetical mechanisms, trans-splicing and transcriptional-slippage, that occur in the nucleus. The mt-sequences in the mtRNA-nRNA fusions had pseudogenes in the nucleus but, surprisingly, localized mainly in chromosomes 1 and 5. In some mtRNA-nRNA fusions, as well as in some ESTs that were derived only from mtRNA, the mt-sequences might be cis- or trans-spliced. Actually, we cloned a new cis-spliced mtRNA, coined as 16SrRNA-s. Hence, mtDNA may not always be intron-less. Fusion of three or more RNAs to one, fusion of nRNA to mtRNA, and cis- or trans-splicing of mtRNA should all enlarge the cellular RNA repertoire, in turn enlarging the cellular functions. Therefore, future experimental verification of the existence of these novel classes of fusion RNAs and spliced mtRNAs in human cells should significantly advance our understanding of biology and medicine.

Holo-TFIID controls the magnitude of a transcription burst and fine-tuning of transcription.

Transcription factor (TF)IID is a central player in activated transcription initiation. Recent evidence suggests that the role and composition of TFIID are more diverse than previously understood. To investigate the effects of changing the composition of TFIID in a simple system, we depleted TATA box-binding protein-associated factor (TAF)1 from Drosophila cells and determined the consequences on metal-induced transcription at an inducible gene, metallothionein B. We observe a marked increase in the levels of both the mature message and pre-mRNA in TAF1-depleted cells. Under conditions of continued metal exposure, we show that TAF1 depletion increases the magnitude of the initial transcription burst but has no effect on the timing of that burst. We also show that TAF1 depletion causes delay in the shutoff of transcription upon removal of the stimulus. Thus, TAFs are involved in both establishing an upper limit of transcription during induction and efficiently turning the gene off once the inducer is removed. Using genome-wide nascent sequencing, we identify hundreds of genes that are controlled in a similar manner, indicating that the findings at this inducible gene are likely generalizable to a large set of promoters. There is a long-standing appreciation for the importance of the spatial and temporal control of transcription. Here we uncover an important third dimension of control: the magnitude of the response. Our results show that the magnitude of the transcriptional response to the same signaling event, even at the same promoter, can vary greatly depending on the composition of the TFIID complex in the cell.

RNAi pathways contribute to developmental history-dependent phenotypic plasticity in C. elegans.

Early environmental experiences profoundly influence adult phenotypes through complex mechanisms that are poorly understood. We previously showed that adult Caenorhabditis elegans that transiently passed through the stress-induced dauer larval stage (post-dauer adults) exhibit significant changes in gene expression profiles, chromatin states, and life history traits when compared with adults that bypassed the dauer stage (control adults). These wild-type, isogenic animals of equivalent developmental stages exhibit different signatures of molecular marks that reflect their distinct developmental trajectories. To gain insight into the mechanisms that contribute to these developmental history-dependent phenotypes, we profiled small RNAs from post-dauer and control adults by deep sequencing. RNA interference (RNAi) pathways are known to regulate genome-wide gene expression both at the chromatin and post-transcriptional level. By quantifying changes in endogenous small interfering RNA (endo-siRNA) levels in post-dauer as compared with control animals, our analyses identified a subset of genes that are likely targets of developmental history-dependent reprogramming through a complex RNAi-mediated mechanism. Mutations in specific endo-siRNA pathways affect expected gene expression and chromatin state changes for a subset of genes in post-dauer animals, as well as disrupt their increased brood size phenotype. We also find that both chromatin state and endo-siRNA distribution in dauers are unique, and suggest that remodeling in dauers provides a template for the subsequent establishment of adult post-dauer profiles. Our results indicate a role for endo-siRNA pathways as a contributing mechanism to early experience-dependent phenotypic plasticity in adults, and describe how developmental history can program adult physiology and behavior via epigenetic mechanisms.

Single nucleotide in the MTF-1 binding site can determine metal-specific transcription activation.

Cells respond to changes in environment by shifting their gene expression profile to deal with the new conditions. The cellular response to changes in metal homeostasis is an important example of this. Transition metals such as iron, zinc, and copper are essential micronutrients but other metals such as cadmium are simply toxic. The cell must maintain metal concentrations in a window that supports efficient metabolic function but must also protect against the damaging effects of high concentrations of these metals. One way a cell regulates metal homeostasis is to control genes involved in metal mobilization and storage. Much of this regulation occurs at the level of transcription and the protein most responsible for this is the conserved metal responsive transcription factor 1 (MTF-1). Interestingly, the nature of the changes in the gene expression profile depends on the type of exposure. The cell somehow senses the kind of the metal challenge and responds appropriately. We have been using the Drosophila system to try to understand the mechanism of this metal discrimination. Using genome-wide mapping of MTF-1 binding under different metal stresses we find that, surprisingly, MTF-1 chooses different DNA binding sites depending on the specific nature of the metal insult. We also find that the type of binding site chosen is an important component of the capability to induce the metal-specific transcription activation.

Uncovering mechanisms of transcriptional regulations by systematic mining of cis regulatory elements with gene expression profiles.

BACKGROUND: Contrary to the traditional biology approach, where the expression patterns of a handful of genes are studied at a time, microarray experiments enable biologists to study the expression patterns of many genes simultaneously from gene expression profile data and decipher the underlying hidden biological mechanism from the observed gene expression changes. While the statistical significance of the gene expression data can be deduced by various methods, the biological interpretation of the data presents a challenge. RESULTS: A method, called CisTransMine, is proposed to help infer the underlying biological mechanisms for the observed gene expression changes in microarray experiments. Specifically, this method will predict potential cis-regulatory elements in promoter regions which could regulate gene expression changes. This approach builds on the MotifADE method published in 2004 and extends it with two modifications: up-regulated genes and down-regulated genes are tested separately and in addition, tests have been implemented to identify combinations of transcription factors that work synergistically. The method has been applied to a genome wide expression dataset intended to study myogenesis in a mouse C2C12 cell differentiation model. The results shown here both confirm the prior biological knowledge and facilitate the discovery of new biological insights. CONCLUSION: The results validate that the CisTransMine approach is a robust method to uncover the hidden transcriptional regulatory mechanisms that can facilitate the discovery of mechanisms of transcriptional regulation.

Integrating high-content screening and ligand-target prediction to identify mechanism of action.

High-content screening is transforming drug discovery by enabling simultaneous measurement of multiple features of cellular phenotype that are relevant to therapeutic and toxic activities of compounds. High-content screening studies typically generate immense datasets of image-based phenotypic information, and how best to mine relevant phenotypic data is an unsolved challenge. Here, we introduce factor analysis as a data-driven tool for defining cell phenotypes and profiling compound activities. This method allows a large data reduction while retaining relevant information, and the data-derived factors used to quantify phenotype have discernable biological meaning. We used factor analysis of cells stained with fluorescent markers of cell cycle state to profile a compound library and cluster the hits into seven phenotypic categories. We then compared phenotypic profiles, chemical similarity and predicted protein binding activities of active compounds. By integrating these different descriptors of measured and potential biological activity, we can effectively draw mechanism-of-action inferences.

From proteomics to systems biology of bacterial pathogens: approaches, tools, and applications.

The hallmark of a systems biology approach is the integration of computational tools with experimental data encompassing multiple classes of biomolecules across different functional levels. Equally important as the availability of reasonably comprehensive information at the gene, protein, and metabolite levels is the development of adequate analysis and visualization tools to reduce the inherent complexity to interpretable dimensions. In this paper, we describe the integration of a 2-D gel-based proteome map of Staphylococcus aureus Mu50 with genomic and transcriptomic information through a customized data integration and user interface built on the Ensembl genome browser. We illustrate its application and potential through the analysis of a defined system perturbation caused by a mutation in the formyltransferase gene. We envision that this software package, which we called Insieme, can support the development of novel antibiotics by allowing a systems-based view of the bacterial response pathways.

Clustering protein sequences with a novel metric transformed from sequence similarity scores and sequence alignments with neural networks.

BACKGROUND: The sequencing of the human genome has enabled us to access a comprehensive list of genes (both experimental and predicted) for further analysis. While a majority of the approximately 30,000 known and predicted human coding genes are characterized and have been assigned at least one function, there remains a fair number of genes (about 12,000) for which no annotation has been made. The recent sequencing of other genomes has provided us with a huge amount of auxiliary sequence data which could help in the characterization of the human genes. Clustering these sequences into families is one of the first steps to perform comparative studies across several genomes. RESULTS: Here we report a novel clustering algorithm (CLUGEN) that has been used to cluster sequences of experimentally verified and predicted proteins from all sequenced genomes using a novel distance metric which is a neural network score between a pair of protein sequences. This distance metric is based on the pairwise sequence similarity score and the similarity between their domain structures. The distance metric is the probability that a pair of protein sequences are of the same Interpro family/domain, which facilitates the modelling of transitive homology closure to detect remote homologues. The hierarchical average clustering method is applied with the new distance metric. CONCLUSION: Benchmarking studies of our algorithm versus those reported in the literature shows that our algorithm provides clustering results with lower false positive and false negative rates. The clustering algorithm is applied to cluster several eukaryotic genomes and several dozens of prokaryotic genomes.

Multiple retropseudogenes from pluripotent cell-specific gene expression indicates a potential signature for novel gene identification.

Oct4, Nanog, and Stella are transcription factors specifically expressed in embryonic stem (ES) cells and germ lineage cells that impart critical functions in the maintenance of pluripotency. Here, we report the excessive frequency and apparent selectivity of retrotransposition of ES cell-specific genes. Six highly homologous pseudogenes for Oct4, 10 for Nanog, and 16 for Stella were identified by nucleotide BLAST (basic local alignment sequence tool) searches against the respective gene mRNA transcripts. Of 15 non-ES cell-specific transcription factor genes, only one had a single pseudogene hit in our screen, emphasizing the apparent selectivity. We present a hypothesis whereby retrotransposition of ES or germ cell-specific genes may reflect an innate predisposition. This is based on the increased probability of germ-line transmission when retrotransposition occurs at a very early stage of development within cells known to contribute to the germ cell lineage. The parental genes for Nanog, Stella, and another embryonic gene, GDF3 are all located on chromosome 12p13 of the human genome, and on chromosome 6 in mouse. Here, we identified an Oct4 pseudogene at the same respective loci in both human and mouse genomes, suggesting functional relevance and indicative of epigenetic regulation. We tested whether the apparent susceptibility for ES cell-specific gene retrotransposition may be extrapolated to a more unified phenomenon, such that a bioinformatic approach may represent a potentially novel strategy for identification of genes with embryonic cell-specific functionality. A preliminary investigation indeed revealed a single gene, previously demonstrated to be responsible for multiple retropseudogenes via germ cell-specific expression in Xenopus.

Identification of a family of cAMP response element-binding protein coactivators by genome-scale functional analysis in mammalian cells.

This report describes an unbiased method for systematically determining gene function in mammalian cells. A total of 20,704 predicted human full-length cDNAs were tested for induction of the IL-8 promoter. A number of genes, including those for cytokines, receptors, adapters, kinases, and transcription factors, were identified that induced the IL-8 promoter through known regulatory sites. Proteins that acted through a cooperative interaction between an AP-1 and an unrecognized cAMP response element (CRE)-like site were also identified. A protein, termed transducer of regulated cAMP response element-binding protein (CREB) (TORC1), was identified that activated expression through the variant CRE and consensus CRE sites. TORC1 potently induced known CREB1 target genes, bound CREB1, and activated expression through a potent transcription activation domain. A functional Drosophila TORC gene was also identified. Thus, TORCs represent a family of highly conserved CREB coactivators that may control the potency and specificity of CRE-mediated responses.

Genome-scale functional profiling of the mammalian AP-1 signaling pathway.

Large-scale functional genomics approaches are fundamental to the characterization of mammalian transcriptomes annotated by genome sequencing projects. Although current high-throughput strategies systematically survey either transcriptional or biochemical networks, analogous genome-scale investigations that analyze gene function in mammalian cells have yet to be fully realized. Through transient overexpression analysis, we describe the parallel interrogation of approximately 20,000 sequence annotated genes in cancer-related signaling pathways. For experimental validation of these genome data, we apply an integrative strategy to characterize previously unreported effectors of activator protein-1 (AP-1) mediated growth and mitogenic response pathways. These studies identify the ADP-ribosylation factor GTPase-activating protein Centaurin alpha1 and a Tudor domain-containing hypothetical protein as putative AP-1 regulatory oncogenes. These results provide insight into the composition of the AP-1 signaling machinery and validate this approach as a tractable platform for genome-wide functional analysis.

Rapid expression cloning of receptors using epitope-tagged ligands and high-speed cell sorting.

BACKGROUND: In this study we describe a new approach for expression cloning of receptors. METHODS: Our approach was based on highly efficient transfer of retroviral cDNA libraries into target cells and detection of receptor-ligand interaction with the use of an antibody directed against an epitope tag on recombinant ligands. Detection of the complex and isolation of receptor-transduced cells were achieved by flow cytometry and rare event high-speed cell sorting. Recovery of the cDNA coding for the receptor(s) was achieved by polymerase chain reaction. RESULTS: As a proof-of-concept study we set out to clone the receptor for B-lymphocyte stimulator protein (BlyS), not known at the start of the project but reported while this work was in progress. First, we detected binding of epitope-tagged BlyS to IM9 cells. Second, human T-lymphoblasts (CEM cells), which do not bind BlyS, were transduced with a retroviral cDNA library generated from IM9 cells. Transduced CEM cells binding epitope-tagged BlyS protein were identified by flow cytometry. After three sequential rounds of cell sorting, transduced CEM cell populations with high binding capacity for BlyS were identified. To determine the cDNAs conferring binding to the transduced CEM cells, the integrated proviral DNAs were amplified by polymerase chain reaction and analyzed by DNA sequencing. Rescued cDNAs contained Transmembrane Activator and calcium-modulator and cyclophilin ligand (CAML) Interactor (TACI) and B-Cell Maturation factor (BCMA) sequences, representing two published receptors of BlyS. CONCLUSIONS: Our data demonstrated that flow cytometry and high-speed cell sorting combined with transduction of retroviral cDNA libraries and binding of epitope-tagged orphan ligands as a selectable phenotype can be used efficiently for expression cloning of receptors. Of particular interest was our finding that apparently it is not necessary to purify the ligand but that conditioned medium containing the ligand can be used instead. Thus we concluded that our approach shortens the time to identify receptors for many orphan ligands and helps to exploit these receptors as drug targets.