BRCA1 is a key regulator of breast differentiation through activation of Notch signalling with implications for anti-endocrine treatment of breast cancers

Here, we show for the first time, that the familial breast/ovarian cancer susceptibility gene BRCA1 activates the Notch pathway in breast cells by transcriptional upregulation of Notch ligands and receptors in both normal and cancer cells. We demonstrate through chromatin immunoprecipitation assays that BRCA1 is localized to a conserved intronic enhancer region within the Notch ligand Jagged-1 (JAG1) gene, an event requiring ΔNp63. We propose that this BRCA1/ΔNp63-mediated induction of JAG1 may be important the regulation of breast stem/precursor cells, as knockdown of all three proteins resulted in increased tumoursphere growth and increased activity of stem cell markers such as Aldehyde Dehydrogenase 1 (ALDH1). Knockdown of Notch1 and JAG1 phenocopied BRCA1 knockdown resulting in the loss of Estrogen Receptor-α (ER-α) expression and other luminal markers. A Notch mimetic peptide could activate an ER-α promoter reporter in a BRCA1-dependent manner, whereas Notch inhibition using a γ-secretase inhibitor reversed this process. We demonstrate that inhibition of Notch signalling resulted in decreased sensitivity to the anti-estrogen drug Tamoxifen but increased expression of markers associated with basal-like breast cancer. Together, these findings suggest that BRCA1 transcriptional upregulation of Notch signalling is a key event in the normal differentiation process in breast tissue.

FLT1 Genetic Variation Predisposes to Neovascular AMD in Ethnically Diverse Populations and Alters Systemic FLT1 Expression

Purpose: Current understanding of the genetic risk factors for age-related macular degeneration (AMD) is not sufficiently predictive of the clinical course. The VEGF pathway is a key therapeutic target for treatment of neovascular AMD; however, risk attributable to genetic variation within pathway genes is unclear. We sought to identify single nucleotide polymorphisms (SNPs) associated with AMD within the VEGF pathway.
Methods: Using a tagSNP, direct sequencing and meta-analysis approach within four ethnically diverse cohorts, we identified genetic risk present in FLT1, though not within other VEGF pathway genes KDR, VEGFA, or VASH1. We used ChIP and ELISA in functional analysis.
Results: The FLT1 SNPs rs9943922, rs9508034, rs2281827, rs7324510, and rs9513115 were significantly associated with increased risk of neovascular AMD. Each association was more significant after meta-analysis than in any one of the four cohorts. All associations were novel, within noncoding regions of FLT1 that do not tag for coding variants in linkage disequilibrium. Analysis of soluble FLT1 demonstrated higher expression in unaffected individuals homozygous for the FLT1 risk alleles rs9943922 (P = 0.0086) and rs7324510 (P = 0.0057). In silico analysis suggests that these variants change predicted splice sites and RNA secondary structure, and have been identified in other neovascular pathologies. These data were supported further by murine chromatin immunoprecipitation demonstrating that FLT1 is a target of Nr2e3, a nuclear receptor gene implicated in regulating an AMD pathway.
Conclusions: Although exact variant functions are not known, these data demonstrate relevancy across ethnically diverse genetic backgrounds within our study and, therefore, hold potential for global efficacy.

Nuclear ARRB1 induces pseudohypoxia and cellular metabolism reprogramming in prostate cancer

Tumour cells sustain their high proliferation rate through metabolic reprogramming, whereby cellular metabolism shifts from oxidative phosphorylation to aerobic glycolysis, even under normal oxygen levels. Hypoxia-inducible factor 1A (HIF1A) is a major regulator of this process, but its activation under normoxic conditions, termed pseudohypoxia, is not well documented. Here, using an integrative approach combining the first genome-wide mapping of chromatin binding for an endocytic adaptor, ARRB1, both in vitro and in vivo with gene expression profiling, we demonstrate that nuclear ARRB1 contributes to this metabolic shift in prostate cancer cells via regulation of HIF1A transcriptional activity under normoxic conditions through regulation of succinate dehydrogenase A (SDHA) and fumarate hydratase (FH) expression. ARRB1-induced pseudohypoxia may facilitate adaptation of cancer cells to growth in the harsh conditions that are frequently encountered within solid tumours. Our study is the first example of an endocytic adaptor protein regulating metabolic pathways. It implicates ARRB1 as a potential tumour promoter in prostate cancer and highlights the importance of metabolic alterations in prostate cancer.

Mapping protein-DNA interactions using ChIP-sequencing

Chromatin immunoprecipitation (ChIP) allows enrichment of genomic regions which are associated with specific transcription factors, histone modifications, and indeed any other epitopes which are present on chromatin. The original ChIP methods used site-specific PCR and Southern blotting to confirm which regions of the genome were enriched, on a candidate basis. The combination of ChIP with genomic tiling arrays (ChIP-chip) allowed a more unbiased approach to map ChIP-enriched sites. However, limitations of microarray probe design and probe number have a detrimental impact on the coverage, resolution, sensitivity, and cost of whole-genome tiling microarray sets for higher eukaryotes with large genomes. The combination of ChIP with high-throughput sequencing technology has allowed more comprehensive surveys of genome occupancy, greater resolution, and lower cost for whole genome coverage. Herein, we provide a comparison of high-throughput sequencing platforms and a survey of ChIP-seq analysis tools, discuss experimental design, and describe a detailed ChIP-seq method.Chromatin immunoprecipitation (ChIP) allows enrichment of genomic regions which are associated with specific transcription factors, histone modifications, and indeed any other epitopes which are present on chromatin. The original ChIP methods used site-specific PCR and Southern blotting to confirm which regions of the genome were enriched, on a candidate basis. The combination of ChIP with genomic tiling arrays (ChIP-chip) allowed a more unbiased approach to map ChIP-enriched sites. However, limitations of microarray probe design and probe number have a detrimental impact on the coverage, resolution, sensitivity, and cost of whole-genome tiling microarray sets for higher eukaryotes with large genomes. The combination of ChIP with high-throughput sequencing technology has allowed more comprehensive surveys of genome occupancy, greater resolution, and lower cost for whole genome coverage. Herein, we provide a comparison of high-throughput sequencing platforms and a survey of ChIP-seq analysis tools, discuss experimental design, and describe a detailed ChIP-seq method.

Global identification of androgen response elements

Chromatin immunoprecipitation (ChIP) is an invaluable tool in the study of transcriptional regulation. ChIP methods require both a priori knowledge of the transcriptional regulators which are important for a given biological system and high-quality specific antibodies for these targets. The androgen receptor (AR) is known to play essential roles in male sexual development, in prostate cancer and in the function of many other AR-expressing cell types (e.g. neurons and myocytes). As a ligand-activated transcription factor the AR also represents an endogenous, inducible system to study transcriptional biology. Therefore, ChIP studies of the AR can make use of treatment contrast experiments to define its transcriptional targets. To date several studies have mapped AR binding sites using ChIP in combination with genome tiling microarrays (ChIP-chip) or direct sequencing (ChIP-seq), mainly in prostate cancer cell lines and with varying degrees of genomic coverage. These studies have provided new insights into the DNA sequences to which the AR can bind, identified AR cooperating transcription factors, mapped thousands of potential AR regulated genes and provided insights into the biological processes regulated by the AR. However, further ChIP studies will be required to fully characterise the dynamics of the AR-regulated transcriptional programme, to map the occupancy of different AR transcriptional complexes which result in different transcriptional output and to delineate the transcriptional networks downstream of the AR.

Terminal and progenitor lineage-survival oncogenes as cancer markers

Tumour classification has traditionally focused on differentiation and cellular morphology, and latterly on the application of genomic approaches. By combining chromatin immunoprecipitation with expression array, it has been possible to identify direct gene targets for transcription factors for nuclear hormone receptors. At the same time, there have been great strides in deriving stem and progenitor cells from tissues. It is therefore timely to propose that pairing the isolation of these cell subpopulations from tissues and tumours with these genomics approaches will reveal conserved gene targets for transcription factors. By focusing on transcription factors (lineage-survival oncogenes) with roles in both organogenesis and tumourigenesis at multiple organ sites, we suggest that this comparative genomics approach will enable developmental biology to be used more fully in relation to understanding tumour progression and will reveal new cancer markers. We focus here on neurogenesis and neuroendocrine differentiation in tumours.

ChIPping away at gene regulation

The coordinated regulation of gene expression in higher eukaryotes is complex and poorly understood. Recent technological advances have allowed the first insights into these networks on a genome-wide scale. These investigations have identified transcription factor target sites in the genome and successfully predicted cooperative interactions with other factors. However, a detailed understanding of the processes that coordinate gene expression remains elusive. Here, we highlight the advances that have been made using current methods, and the need for new technologies to address the gaps in our knowledge and to map these complex pathways further.

New androgen receptor genomic targets show an interaction with the ETS1 transcription factor

The androgen receptor (AR) initiates important developmental and oncogenic transcriptional pathways. The AR is known to bind as a homodimer to 15-base pair bipartite palindromic androgen-response elements; however, few direct AR gene targets are known. To identify AR promoter targets, we used chromatin immunoprecipitation with on-chip detection of genomic fragments. We identified 1,532 potential AR-binding sites, including previously known AR gene targets. Many of the new AR target genes show altered expression in prostate cancer. Analysis of sequences underlying AR-binding sites showed that more than 50% of AR-binding sites did not contain the established 15 bp AR-binding element. Unbiased sequence analysis showed 6-bp motifs, which were significantly enriched and were bound directly by the AR in vitro. Binding sequences for the avian erythroblastosis virus E26 homologue (ETS) transcription factor family were also highly enriched, and we uncovered an interaction between the AR and ETS1 at a subset of AR promoter targets.

Gene regulatory mechanisms underpinning prostate cancer susceptibility

Molecular characterization of genome-wide association study (GWAS) loci can uncover key genes and biological mechanisms underpinning complex traits and diseases. Here we present deep, high-throughput characterization of gene regulatory mechanisms underlying prostate cancer risk loci. Our methodology integrates data from 295 prostate cancer chromatin immunoprecipitation and sequencing experiments with genotype and gene expression data from 602 prostate tumor samples. The analysis identifies new gene regulatory mechanisms affected by risk locus SNPs, including widespread disruption of ternary androgen receptor (AR)-FOXA1 and AR-HOXB13 complexes and competitive binding mechanisms. We identify 57 expression quantitative trait loci at 35 risk loci, which we validate through analysis of allele-specific expression. We further validate predicted regulatory SNPs and target genes in prostate cancer cell line models. Finally, our integrated analysis can be accessed through an interactive visualization tool. This analysis elucidates how genome sequence variation affects disease predisposition via gene regulatory mechanisms and identifies relevant genes for downstream biomarker and drug development.

CLOCK-controlled polyphonic regulation of circadian rhythms through canonical and noncanonical E-boxes.

In mammalian circadian clockwork, the CLOCK-BMAL1 complex binds to DNA enhancers of target genes and drives circadian oscillation of transcription. Here we identified 7,978 CLOCK-binding sites in mouse liver by chromatin immunoprecipitation-sequencing (ChIP-Seq), and a newly developed bioinformatics method, motif centrality analysis of ChIP-Seq (MOCCS), revealed a genome-wide distribution of previously unappreciated noncanonical E-boxes targeted by CLOCK. In vitro promoter assays showed that CACGNG, CACGTT, and CATG(T/C)G are functional CLOCK-binding motifs. Furthermore, we extensively revealed rhythmically expressed genes by poly(A)-tailed RNA-Seq and identified 1,629 CLOCK target genes within 11,926 genes expressed in the liver. Our analysis also revealed rhythmically expressed genes that have no apparent CLOCK-binding site, indicating the importance of indirect transcriptional and posttranscriptional regulations. Indirect transcriptional regulation is represented by rhythmic expression of CLOCK-regulated transcription factors, such as Krüppel-like factors (KLFs). Indirect posttranscriptional regulation involves rhythmic microRNAs that were identified by small-RNA-Seq. Collectively, CLOCK-dependent direct transactivation through multiple E-boxes and indirect regulations polyphonically orchestrate dynamic circadian outputs.

Blood pressure loci identified with a gene-centric array.

Raised blood pressure (BP) is a major risk factor for cardiovascular disease. Previous studies have identified 47 distinct genetic variants robustly associated with BP, but collectively these explain only a few percent of the heritability for BP phenotypes. To find additional BP loci, we used a bespoke gene-centric array to genotype an independent discovery sample of 25,118 individuals that combined hypertensive case-control and general population samples. We followed up four SNPs associated with BP at our p < 8.56 × 10(-7) study-specific significance threshold and six suggestively associated SNPs in a further 59,349 individuals. We identified and replicated a SNP at LSP1/TNNT3, a SNP at MTHFR-NPPB independent (r(2) = 0.33) of previous reports, and replicated SNPs at AGT and ATP2B1 reported previously. An analysis of combined discovery and follow-up data identified SNPs significantly associated with BP at p < 8.56 × 10(-7) at four further loci (NPR3, HFE, NOS3, and SOX6). The high number of discoveries made with modest genotyping effort can be attributed to using a large-scale yet targeted genotyping array and to the development of a weighting scheme that maximized power when meta-analyzing results from samples ascertained with extreme phenotypes, in combination with results from nonascertained or population samples. Chromatin immunoprecipitation and transcript expression data highlight potential gene regulatory mechanisms at the MTHFR and NOS3 loci. These results provide candidates for further study to help dissect mechanisms affecting BP and highlight the utility of studying SNPs and samples that are independent of those studied previously even when the sample size is smaller than that in previous studies.

The G0/G1 switch gene 2 is a novel PPAR target gene.

PPARs (peroxisome-proliferator-activated receptors) alpha, beta/delta and gamma are a group of transcription factors that are involved in numerous processes, including lipid metabolism and adipogenesis. By comparing liver mRNAs of wild-type and PPARalpha-null mice using microarrays, a novel putative target gene of PPARalpha, G0S2 (G0/G1 switch gene 2), was identified. Hepatic expression of G0S2 was up-regulated by fasting and by the PPARalpha agonist Wy14643 in a PPARalpha-dependent manner. Surprisingly, the G0S2 mRNA level was highest in brown and white adipose tissue and was greatly up-regulated during mouse 3T3-L1 and human SGBS (Simpson-Golabi-Behmel syndrome) adipogenesis. Transactivation, gel shift and chromatin immunoprecipitation assays indicated that G0S2 is a direct PPARgamma and probable PPARalpha target gene with a functional PPRE (PPAR-responsive element) in its promoter. Up-regulation of G0S2 mRNA seemed to be specific for adipogenesis, and was not observed during osteogenesis or myogenesis. In 3T3-L1 fibroblasts, expression of G0S2 was associated with growth arrest, which is required for 3T3-L1 adipogenesis. Together, these data indicate that G0S2 is a novel target gene of PPARs that may be involved in adipocyte differentiation.

A mechanism for co-transcriptional recruitment of mRNA localization factor on nascent mRNAs in budding yeast

Le transport et la localisation des ARN messagers permettent de réguler l’expression spatiale et temporelle de facteurs spécifiques impliqués dans la détermination du destin cellulaire, la plasticité synaptique, la polarité cellulaire et la division asymétrique des cellules. Chez S.cerevisiæ, plus de trente transcrits sont transportés activement vers le bourgeon cellulaire. Parmi ces transcrits, l’ARNm ASH1 (asymetric synthesis of HO) est localisé à l’extrémité du bourgeon pendant l’anaphase. Ce processus va entrainer une localisation asymétrique de la protéine Ash1p, qui sera importée uniquement dans le noyau de la cellule fille, où elle entraine le changement de type sexuel. La localisation asymétrique de l’ARNm ASH1, et donc de Ash1p, implique la présence de différents facteurs de localisation. Parmi ces facteurs, les protéines She (She1p/Myo4p, She2p et She3p) et les répresseurs traductionnels (Puf6p, Loc1p et Khd1p) participent à ce mécanisme. La protéine navette She2p est capable de lier l’ARNm ASH1 et va entrainer le ciblage de cet ARNm vers l’extrémité du bourgeon en recrutant le complexe She3p-Myo4p. Des répresseurs traductionnels régulent la traduction de cet ARNm et évitent l’expression ectopique de la protéine Ash1p pendant son transport. Alors que la fonction cytoplasmique de She2p sur la localisation des ARNm est connue, sa fonction nucléaire est encore inconnue. Nous avons montré que She2p contient une séquence de localisation nucléaire non classique qui est essentielle à son import nucléaire médié par l’importine α (Srp1p). L’exclusion de She2p du noyau par mutation de son NLS empêche la liaison de Loc1p et Puf6p sur l’ARNm ASH1, entrainant un défaut de localisation de l’ARNm et de la protéine. Pour étudier plus en détail l’assemblage de la machinerie de localisation des ARNm dans le noyau, nous avons utilisé des techniques d’immunoprécipitation de chromatine afin de suivre le recrutement des facteurs de localisation et des répresseurs traductionnels sur les ARNm naissants. Nous avons montré que She2p est recruté sur le gène ASH1 pendant sa transcription, via son interaction avec l’ARNm ASH1 naissant. Puf6p est également recruté sur ASH1, mais d’une manière dépendante de la présence de She2p. De façon intéressante, nous avons détecté une interaction entre She2p et la plus grande sous-unité de l’ARN polymérase II (Rpb1p). Cette interaction est détectée avec la forme active en élongation de l’ARN polymérase II. Nous avons également démontré que She2p interagit avec le complexe d’élongation de la transcription Spt4p/Spt5p. Une délétion de SPT4 ou une mutation dans SPT5 (Ts spt5) à température restrictive empêche l’interaction entre She2p et Rpb1p, et diminue le recrutement de She2p au gène ASH1, entrainant un défaut de localisation de l’ARNm et un défaut de localisation asymétrique de la protéine Ash1p. De manière globale, nos résultats montrent que les facteurs impliqués dans la localisation cytoplasmique des ARNm et dans leur contrôle traductionnel sont recrutés de façon co-transcriptionnelle sur les ARNm naissants via leur interaction avec la machinerie de transcription, suggèrant un rôle important de la machinerie transcriptionelle dans la localisation des ARNm.

The role of the peptidyl prolyl isomerase Rrd1 in the transcriptional stress response

La régulation de la transcription est un processus complexe qui a évolué pendant des millions d’années permettant ainsi aux cellules de s’adapter aux changements environnementaux. Notre laboratoire étudie le rôle de la rapamycine, un agent immunosuppresseur et anticancéreux, qui mime la carence nutritionelle. Afin de comprendre les mécanismes impliqués dans la réponse a la rapamycine, nous recherchons des mutants de la levure Saccaromyces cerevisiae qui ont un phenotype altérée envers cette drogue. Nous avons identifié le gène RRD1, qui encode une peptidyl prolyl isomérase et dont la mutation rend les levures très résistantes à la rapamycine et il semble que se soit associé à une réponse transcriptionelle alterée. Mon projet de recherche de doctorat est d’identifier le rôle de Rrd1 dans la réponse à la rapamycine. Tout d’abord nous avons trouvé que Rrd1 interagit avec l’ARN polymérase II (RNAPII), plus spécifiquement avec son domaine C-terminal. En réponse à la rapamycine, Rrd1 induit un changement dans la conformation du domaine C-terminal in vivo permettant la régulation de l’association de RNAPII avec certains gènes. Des analyses in vitro ont également montré que cette action est directe et probablement liée à l’activité isomérase de Rrd1 suggérant un rôle pour Rrd1 dans la régulation de la transcription. Nous avons utilisé la technologie de ChIP sur micropuce pour localiser Rrd1 sur la majorité des gènes transcrits par RNAPII et montre que Rrd1 agit en tant que facteur d’élongation de RNAPII. Pour finir, des résultats suggèrent que Rrd1 n’est pas seulement impliqué dans la réponse à la rapamycine mais aussi à differents stress environnementaux, nous permettant ainsi d’établir que Rrd1 est un facteur d’élongation de la transcription requis pour la régulation de la transcription via RNAPII en réponse au stress.

Analyse de la localisation génomique et identification de nouvelles fonctions des sous-unités Rpb4/Rpb7 de l’ARN polymérase II et des facteurs TFIIF, TFIIS et UBR5

Grâce à un grand nombre d’études biochimiques, génétiques et structurales effectuées dans les dernières années, des avancements considérables ont été réalisés et une nouvelle vision du processus par lequel la machinerie transcriptionnelle de l’ARN polymérase II (Pol II) décode l’information génétique a émergé. De nouveaux indices ont été apportés sur la diversité des mécanismes de régulation de la transcription, ainsi que sur le rôle des facteurs généraux de transcription (GTFs) dans cette diversification. Les travaux présentés dans cette thèse amènent de nouvelles connaissances sur le rôle des GTFs humains dans la régulation des différentes étapes de la transcription. Dans la première partie de la thèse, nous avons analysé la fonction de la Pol II et des GTFs humains, en examinant de façon systématique leur localisation génomique. Les patrons obtenus par immunoprécipitation de la chromatine (ChIP) des versions de GTFs portant une étiquette TAP (Tandem-Affinity Purification) indiquent de nouvelles fonctions in vivo pour certains composants de cette machinerie et pour des éléments structuraux de la Pol II. Nos résultats suggèrent que TFIIF et l’hétérodimère Rpb4–Rpb7 ont une fonction spécifique pendant l’étape d’élongation transcriptionnelle in vivo. De plus, notre étude amène une première image globale de la fonction des GTFs pendant la réaction transcriptionnelle dans des cellules mammifères vivantes. Deuxièmement, nous avons identifié une nouvelle fonction de TFIIS dans la régulation de CDK9, la sous-unité kinase du facteur P-TEFb (Positive Transcription Elongation Factor b). Nous avons identifié deux nouveaux partenaires d’interaction pour TFIIS, soit CDK9 et la E3 ubiquitine ligase UBR5. Nous montrons que UBR5 catalyse l’ubiquitination de CDK9 in vitro. De plus, la polyubiquitination de CDK9 dans des cellules humaines est dépendante de UBR5 et TFIIS. Nous montrons aussi que UBR5, CDK9 and TFIIS co-localisent le long du gène  fibrinogen (FBG) et que la surexpression de TFIIS augmente les niveaux d’occupation par CDK9 de régions spécifiques de ce gène, de façon dépendante de UBR5. Nous proposons que TFIIS a une nouvelle fonction dans la transition entre les étapes d’initiation et d’élongation transcriptionnelle, en régulant la stabilité des complexes CDK9-Pol II pendant les étapes précoces de la transcription.