IDENTIFICATION OF JAK/STAT PATHWAY MODULATING GENES BY GENOME WIDE RNAI SCREENING

Abstract
The present invention relates to a method for identifying a compound capable of modulating the activity of the JAK/STAT pathway and to the use of different JAK/STAT pathway components as a target for the modulation of the activity of the JAK/STAT pathway. Moreover, the present invention is concerned with a method for modulating the activity of the JAK/STAT pathway. Furthermore, the present invention pertains to a pharmaceutical composition and to the use of different JAK/STAT pathway components and/or effector molecules thereof for the manufacture of such composition for the diagnosis, prevention or treatment of a JAK/STAT pathway associated disorder.
Description

The present invention relates to a method for identifying a compound capable of modulating the activity of the JAK/STAT pathway and to the use of different JAK/STAT pathway components as a target for the modulation of the activity of the JAK/STAT pathway. Moreover, the present invention is concerned with a method for modulating the activity of the JAK/STAT pathway. Furthermore, the present invention pertains to a pharmaceutical composition and to the use of different JAK/STAT pathway components and/or effector molecules thereof for the manufacture of such composition for the diagnosis, prevention or treatment of a JAK/STAT pathway associated disorder.


Signalling pathways mediating the transduction of information between cells are essential for development, cellular differentiation and homeostasis (Brivanlou, A. H. & Darnell, J. E., Jr., Science 295, 813-8. (2002)). Their dysregulation is also frequently associated with human malignancies. The JAK/STAT pathway represents one such signalling cascade whose evolutionarily conserved roles include cell proliferation and haematopoiesis (Hombria, J. C. & Brown, S., Curr Biol 12, R569-75 (2002)).


Developmental genetic screens in Drosophila have identified multiple JAK/STAT pathway components on the basis of their segmentation phenotype (Binari, R. & Perrimon, N., Genes Dev 8, 300-12. (1994); Harrison, D. A., McCoon, P. E., Binari, R., Gilman, M. & Perrimon, N., Genes Dev 12, 3252-63. (1998); Hou, X. S., Melnick, M. B. & Perrimon, N., Cell 84, 411-9 (1996)) and subsequent analysis of the pathway has characterised evolutionarily conserved roles during immune responses, haematopoiesis and cellular proliferation (Lagueux, M., Perrodou, E., Levashina, E. A., Capovilla, M. & Hoffmann, J. A., Proc Natl Acad Sci USA 97, 11427-32. (2000); Boutros, M., Agaisse, H. & Perrimon, N., Dev Cell 3, 711-22. (2002); Meister, M. & Lagueux, M., Cell Microbiol 5, 573-580 (2003); Mukherjee, T., Castelli-Gair Hombria, J. & Zeidler, M. P., Oncogene in press (2005)). The JAK/STAT signalling cascade in Drosophila is comprised of the extracellular ligand Unpaired (Upd) (Harrison, D. A., McCoon, P. E., Binari, R., Gilman, M. & Perrimon, N., Genes Dev 12, 3252-63. (1998)), a trans-membrane receptor with homology to the IL6 receptor family termed Domeless (Dome) (Brown, S., Hu, N. & Castelli-Gair Hombria, J., Curr Biol 11, 1700-5. (2001)), a single Janus tyrosine kinase (JAK) called Hopscotch (Hop) (Binari, R. & Perrimon, N., Genes Dev 8, 300-12. (1994)) and the STAT92E transcription factor (Hou, X. S., Melnick, M. B. & Perrimon, N., Cell 84, 411-9 (1996); Yan, R., Small, S., Desplan, C., Dearolf, C. R. & Darnell, J. E., Jr., Cell 84, 421-30 (1996)) (FIG. 1a). Known regulators of JAK/STAT signalling including a family of SOCS-like genes (Callus, B. A. & Mathey-Prevot, B.; Oncogene 21, 4812-4821 (2002); Karsten, P., Hader, S. & Zeidler, M. P., Mech Dev 117, 343-6 (2002)), dPIAS/Su(var)2-10 (Betz, A., Lampen, N., Martinek, S., Young, M. W. & Darnell, J. E., Jr., Proc Natl Acad Sci USA 98, 9563-8 (2001)) and STAM (Mesilaty-Gross, S., Reich, A., Motro, B. & Wides, R., Gene 231, 173-86 (1999)) are functionally conserved and were identified based on their homology to components originally characterised in mammalian cell culture studies (Hombria, J. C. & Brown, S., Curr Biol 12, R569-75 (2002)). Although successful in identifying the pathway members Upd, Dome, Hop and STAT92E, it is probable that forward genetic approaches have missed components possibly due to non-saturating mutagenesis, genetic redundancy or phenotypic pleiotropy (Nagy, A., Perrimon, N., Sandmeyer, S. & Plasterk, R., Nat Genet 33 Suppl, 276-84 (2003)).


In order to identify novel pathway components and circumvent limitations of classical genetic screens, the inventors of the present invention have undertaken a genome-wide RNA interference (RNAi) screen, a powerful technique for the identification of new components of diverse cellular pathways (Kamath, R. S. et al., Nature 421, 231-7 (2003); Kittler, R. et al., Nature 432, 1036-40 (2004); Berns, K. et al., Nature 428, 431-7 (2004); Paddison, P. J. et al., Nature 428, 427-31 (2004); Boutros, M. et al., Science 303, 832-5 (2004)). Using this screen, a systematic genome-wide survey for genes required for JAK/STAT pathway activity could be performed. Analysis of 20,026 RNAi-induced phenotypes in cultured Drosophila melanogaster haemocyte-like cells identified interacting genes encoding 4 known and 84 previously uncharacterised proteins. Subsequently, cell based epistasis experiments have been used to classify these based on their interaction with known components of the signalling cascade. In addition to multiple human disease gene homologues, the inventors of the present invention have identified the tyrosine phosphatase Ptp61F and the Drosophila homologue of BRWD3, a bromo-domain containing protein disrupted in leukaemia. Moreover, in vivo analysis demonstrates that disrupted dBRWD3 and overexpressed Ptp61F function as suppressors of leukaemia-like blood cell tumours. This screen represents a comprehensive identification of novel loci required for JAK/STAT signalling and provides molecular insights into an important pathway relevant for human diseases.


A first aspect of the present invention, therefore, relates to a method for identifying a compound capable of modulating the activity of the JAK/STAT pathway, comprising


(a) contacting a compound with at least one target molecule selected from

    • (i) nucleic acid molecules, comprising
      • (i.1) a nucleotide sequence as shown in SEQ ID NOs. 88 to 265;
      • (i.2) a nucleotide sequence which is complementary to a nucleotide sequence of (i.1);
      • (i.3) a nucleotide sequence which has an identity of at least 65% to a nucleotide sequence of (i.1) or (i.2); and/or
      • (i.4) a nucleotide sequence which hybridizes under stringent conditions to a nucleotide sequence of (i.1), (i.2) or (i.3); and
    • (ii) polypeptide molecules
      • (ii.1) encoded by the nucleic acid molecules of (i) and/or
      • (ii.2) having the sequences as shown in SEQ ID NOs. 1-87, and


        (b) determining the degree of modulation of the at least one target molecule by the compound.


In accordance with the present invention, it is to be understood, that the term “modulating the activity of the JAK/STAT pathway”, when used herein, means activating or inhibiting the activity of the JAK/STAT signalling pathway. An activation or inhibition of the activity of the JAK/STAT signalling pathway may e.g. be mediated by an activation or inhibition of at least one component of the JAK/STAT pathway, either directly or indirectly.


According to the present invention, step (a) of the method for identifying a compound capable of modulating the activity of the JAK/STAT pathway comprises contacting a compound with at least one target molecule selected from the nucleic acid molecules of (i) and the polypeptide molecules of (ii).


The nucleic acid molecules of (i) used according to the method for identifying a compound capable of modulating the activity of the JAK/STAT pathway comprise in one embodiment of the present invention a nucleotide sequence of (i.1) as show in SEQ ID NOs. 88 to 265. Preferably, the nucleic acid molecules of (i) comprise a nucleic acid sequence of (i.1) as shown in SEQ ID NOs. 88 to 174. More preferably, the nucleic acid molecules of (i) comprise a nucleic acid sequence of (i.1) as shown in SEQ ID NOs. 91, 116, 124, 133, 136, 152, 154, 155 to 174.


It is to be understood that the Drosophila gene sequences of SEQ ID Nos. 175-265 encompasse respective splice variants.


Moreover, nucleic acid molecules of (i) used according to the method for identifying a compound capable of modulating the activity of the JAK/STAT pathway comprise in another embodiment of the present invention a nucleotide sequence of (i.2) which is complementary to a nucleotide sequence of (i.1). Preferably, the nucleic acid molecules of (i) comprise a nucleic acid sequence of (i.2) which is complementary to a nucleotide sequence of (i.1) as shown in SEQ ID NOs. 88 to 174. More preferably, the nucleic acid molecules of (i) comprise a nucleic acid sequence of (i.2) which is complementary to a nucleotide sequence of (i.1) as shown in SEQ ID NOs. 91, 116, 124, 133, 136, 152, 154, 155 to 174.


In a further embodiment of the present invention, the nucleic acid molecules of (i) used according to the method for identifying a compound capable of modulating the activity of the JAK/STAT pathway comprise a nucleotide sequence of (i.3) which has an identity of at least 65, preferably at least 70, more preferably at least 75 and most preferably at least 80% to a nucleotide sequence of (i.1) or (i.2). Within the context of the present application, the term “has an identity of at least 65, preferably at least 70, more preferably at least 75 and most preferably at least 80%”, as used herein, means that the sequence identity is at least 65, 66, 67, 6, 69, preferably at least 70, 71, 72, 73, 74, more preferably at least 75, 76, 77, 78, 79 and most preferably at least 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99 or 100%. Preferably, the nucleic acid molecules of (i) comprise a nucleotide sequence of (i.3) which has an identity of at least 65, preferably at least 70, more preferably at least 75 and most preferably at least 80% to a nucleotide sequence of (i.1) as shown in SEQ ID NOs. 88 to 174 or a nucleotide sequence of (i.2) which is complementary to a nucleotide sequence of (i.1) as shown in SEQ ID NOs. 88 to 174. More preferable, the nucleic acid molecules of (i) comprise a nucleotide sequence of (i.3) which has an identity of at least 65, preferably at least 70, more preferably at least 75 and most preferably at least 80% to a nucleotide sequence of (i.1) as shown in SEQ ID NOs. 91, 116, 124, 133, 136, 152, 154, 155 to 174 or a nucleotide sequence of (i.2) which is complementary to a nucleotide sequence of (i.1) as shown in SEQ ID NOs. 91, 116, 124, 133, 136, 152, 154, 155 to 174.


Finally, the nucleic acid molecules of (i) used according to the method for identifying a compound capable of modulating the activity of the JAK/STAT pathway comprise in a further embodiment of the present invention a nucleotide sequence of (i.4) which hybridizes under stringent conditions to a nucleotide sequence of (i.1), (i.2) or (i.3). The term “hybridizes under stringent conditions” according to the present application is used as described in Sambrook et al. Molecular Cloning, A Laboratory Manual, Cold Spring Harbor, Laboratory Press (1989), 1.101-1.104. Consequently, hybridization under stringent conditions occurs when a positive hybridization signal is still detected after washing for 1 h with 1×SSC and 0.1% SDS at 55° C., preferably at 62° C. and most preferably at 68° C., in particular for 1 h in 0.2×SSC and 0.1% SDS at 55° C., preferably at 62° C. and most preferably at 68° C. It is preferred that the nucleic acid molecules of (i) comprise a nucleotide sequence of (i.4) which hybridizes under stringent conditions to a nucleotide sequence of (i.1) as shown in SEQ ID NOs. 88 to 174, a nucleotide sequence of (i.2) which is complementary to a nucleotide sequence of (i.1) as shown in SEQ ID NOs. 88 to 174 or a nucleotide sequence of (i.3) which has an identity of at least 65, preferably at least 70, more preferably at least 75 and most preferably at least 80% to a nucleotide sequence of (i.1) as shown in SEQ ID NOs. 88 to 174 or a nucleotide sequence of (i.2) which is complementary to a nucleotide sequence of (i.1) as shown in SEQ ID NOs. 88 to 174. More preferably, the nucleic acid molecules of (i) comprise a nucleotide sequence of (i.4) which hybridizes under stringent conditions to a nucleotide sequence of (i.1) as shown in SEQ ID NOs. 91, 116, 124, 133, 136, 152, 154, 155 to 174, a nucleotide sequence of (i.2) which is complementary to a nucleotide sequence of (i.1) as shown in SEQ ID NOs. 91, 116, 124, 133, 136, 152, 154, 155 to 174 or a nucleotide sequence of (i.3) which has an identity of at least 65, preferably at least 70, more preferably at least 75 and most preferably at least 80% to a nucleotide sequence of (i.1) as shown in SEQ ID NOs. 91, 116, 124, 133, 136, 152, 154, 155 to 174 or a nucleotide sequence of (i.2) which is complementary to a nucleotide sequence of (i.1) as shown in SEQ ID NOs. 91, 116, 124, 133, 136, 152, 154, 155 to 174.


The nucleic acid molecules of (i) used according to the method for identifying a compound capable of modulating the activity of the JAK/STAT pathway may be present in single-stranded or double-stranded form and may be selected from RNA, DNA or nucleic acid analog molecules, such as sugar- and backbone-modified ribonucleic acids or deoxyribonucleic acids. It should be noted, however, that other nucleic acid analogs, such as peptide nucleic acids (PNA) or locked nucleic acids (LNA), are also suitable.


Moreover, according to the present invention, the nucleic acid molecules of (i) used according to the present invention may be non-recombinant nucleic acid molecules, recombinant nucleic acid molecules generated by recombinant methods, e.g. by known amplification procedures such as PCR, or chemically synthesized nucleic acid molecules. The nucleic acid molecules of (i) may be present in isolated, i.e. purified, form or in non-isolated form, i.e. in a cellular environment.


In a preferred embodiment of the present invention, the nucleic acid molecules of (i) used according to the present invention are present in a vector, which may be any prokaryotic or eukaryotic vector, on which the nucleic acid sequence is present preferably under control of a suitable expression signal, e.g. promoter, operator, enhancer etc. Examples for prokaryotic vectors are chromosomal vectors, such as bacteriophages, and extrachromosomal vectors, such as plasmids, wherein circular plasmid vectors are preferred. Examples for eukaryotic vectors are yeast vectors or vectors suitable for higher cells, e.g. insect cells or mammalian cells, plasmids or viruses.


The polypeptide molecules of (ii) used according to the method for identifying a compound capable of modulating the activity of the JAK/STAT pathway are encoded by the nucleic acid molecules of (i) described above and or have a sequence as shown in SED ID Nos. 1-87. According to a preferred embodiment of the present invention, the polypeptide molecules of (ii) have an amino acid sequence as shown in SEQ ID NO. 4, 29, 37, 46, 49, 65, 67 to 87.


The compound used in step (a) of the method for identifying a compound capable of modulating the activity of the JAK/STAT pathway may be selected from compounds capable of directly and/or indirectly inhibiting or activating the transcription or translation of a nucleic acid molecule of (i). Preferably, the compounds capable of directly and/or indirectly inhibiting or activating the transcription or translation of a nucleic acid molecule of (i) comprise polypeptides such as proteins, enzymes, antibodies, polypeptide inhibitors, polypeptide activators, agonist, antagonists, mimetics, low molecular weight substances, antisense molecules, RNAi molecules and ribozymes. More preferably, the compounds capable of directly and/or indirectly inhibiting or activating the transcription or translation of a nucleic acid molecule of (i) are antisense molecules directed against a nucleic acid molecule of (i) or RNAi molecules. The antisense molecules and RNAi molecules may be prepared by any method known in the art for the synthesis of nucleic acid molecules. These include techniques for chemically synthesising oligonucleotides such as solid phase phosphoramidite chemical synthesis. Alternatively, said molecules may be generated by in vitro and in vivo transcription of DNA sequences.


Moreover, the compound used in step (a) of the method for identifying a compound capable of modulating the activity of the JAK/STAT pathway may also be selected from compounds capable of directly and/or indirectly inhibiting or activating a polypeptide molecule of (ii). Preferably, the compounds capable of directly and/or indirectly inhibiting or activating a polypeptide molecule of (ii) comprise polypeptides such as proteins, enzymes, antibodies, polypeptide inhibitors, polypeptide activators, agonist, antagonists, mimetics, oligopeptides, low molecular weight substances and polypeptide cofactors. More preferably, the compounds capable of directly and/or indirectly inhibiting or activating a polypeptide molecule of (ii) are antibodies or fragments thereof directed against a polypeptide molecule of (ii). Within the context of the present invention, the term “antibody”, as used herein, encompasses polyclonal antibodies, monoclonal antibodies, e.g. chimeric antibodies, humanized antibodies, human antibodies or recombinant antibodies, e.g. single-chain antibodies. Further, the term “antibody fragment” encompasses common antibody fragments, e.g. proteolytic fragments such as Fab, F(ab)2, Fab′ or recombinant fragments such as scFv. The antibodies or fragments thereof may be obtained using hybridoma cell lines or recombinant DNA methods using techniques well known in the art. However, the antibodies or fragments thereof may also be isolated from phage antibody libraries using techniques described in the art.


According to the present invention, step (b) of the method for identifying a compound capable of modulating the activity of the JAK/STAT pathway comprises determining the degree of modulation of the at least one target molecule by the compound. Preferably, the degree of modulation of the at least one target molecule by the compound may be determined either by measuring the amount and/or expression rate of the nucleic acid molecules of (i) or by measuring the amount and/or activity of the polypeptide molecules of (ii). A variety of protocols including, for example, ELISA, RIA, and FACS, for measuring nucleic acid molecules and/or proteins are known in the art and provide a basis for measuring the amount and/or expression rate of a nucleic acid molecule or the amount and/or activity of a polypeptide molecule. Particularly, the capability of a substance to modulate the activity of the JAK/STAT pathway is determined as described in the Example.


According to the present invention, the method for identifying a compound capable of modulating the activity of the JAK/STAT pathway may be a molecular based assay or a cellular assay. Therefore, the at least one target molecule may be provided either in vivo in a cellular system, preferably a cellular system overexpressing the at least one target molecule, or in vitro in cell fractions containing the at least one target molecule or with the at least one target molecule in a substantially isolated and purified form. Methods for providing the at least one target molecule are well known in the art and may be used in performing the present invention. According to the present invention, it is preferred that the method for identifying a compound capable of modulating the activity of the JAK/STAT pathway is performed in a high-throughput format.


A second aspect of the present invention pertains to the use of at least one molecule selected from


(i) nucleic acid molecules, comprising

    • (i.1) a nucleotide sequence as shown in SEQ ID NOs. 88 to 265;
    • (i.2) a nucleotide sequence which is complementary to a nucleotide sequence of (i.1);
    • (i.3) a nucleotide sequence which has an identity of at least 65% to a nucleotide sequence of (i.1) or (i.2); and/or
    • (i.4) a nucleotide sequence which hybridizes under stringent conditions to a nucleotide sequence of (i.1), (i.2) or (i.3); and


      (ii) polypeptide molecules
    • (ii.1) encoded by the nucleic acid molecules of (i) and/or
    • (ii.2) having the sequences as shown in SEQ ID NOs. 1-87,


      as a target for the modulation of the activity of the JAK/STAT pathway.


Within the context of the present invention, the nucleic acid molecules of (i), comprising (i.1) a nucleotide sequence as shown in SEQ ID NOs. 88 to 265, (i.2) a nucleotide sequence which is complementary to a nucleotide sequence of (i.1), (i.3) a nucleotide sequence which has an identity of at least 65% to a nucleotide sequence of (i.1) or (i.2), and/or (i.4) a nucleotide sequence which hybridizes under stringent conditions to a nucleotide sequence of (i.1), (i.2) or (i.3), and the polypeptide molecules of (ii) encoded by the nucleic acid molecules of (i) used as afore-mentioned are as described above.


A third aspect of the present invention relates to a method for modulating the activity of the JAK/STAT pathway comprising contacting a cell with at least one molecule selected from


(i) nucleic acid molecules, comprising

    • (i.1) a nucleotide sequence as shown in SEQ ID NOs. 88 to 265;
    • (i.2) a nucleotide sequence which is complementary to a nucleotide sequence of (i.1);
    • (i.3) a nucleotide sequence which has an identity of at least 65% to a nucleotide sequence of (i.1) or (i.2); and/or
    • (i.4) a nucleotide sequence which hybridizes under stringent conditions to a nucleotide sequence of (i.1), (i.2) or (i.3);


      (ii) polypeptide molecules
    • (ii.1) encoded by the nucleic acid molecules of (i) and/or
    • (ii.2) having the sequences as shown in SEQ ID NOs. 1-87; and


      (iii) effector molecules of (i) and/or (ii).


The method for modulating the activity of the JAK/STAT pathway may suitably be performed as molecular based assay or cellular assay. Preferably, the cell used in the method for modulating the activity of the JAK/STAT pathway is a cell showing the JAK/STAT pathway, e.g. an animal cell.


According to the present invention, the nucleic acid molecules of (i), comprising (i.1) a nucleotide sequence as shown in SEQ ID NOs. 88 to 265, (i.2) a nucleotide sequence which is complementary to a nucleotide sequence of (i.1), (i.3) a nucleotide sequence which has an identity of at least 65% to a nucleotide sequence of (i.1) or (i.2), and/or (i.4) a nucleotide sequence which hybridizes under stringent conditions to a nucleotide sequence of (i.1), (i.2) or (i.3), and the polypeptide molecules of (ii) encoded by the nucleic acid molecules of (i) used according to the method for modulating the activity of the JAK/STAT pathway are as described above.


Moreover, the effector molecules of (i) and/or (ii) used according to the method for modulating the activity of the JAK/STAT pathway are selected from polypeptides such as proteins, enzymes, antibodies, polypeptide inhibitors, polypeptide activators, agonist, antagonists, mimetics, oligopeptides, cofactors, low molecular weight substances, antisense molecules, RNAi molecules and ribozymes. Preferably, the effector molecules of (i) and/or (ii) are compounds identified by the method for identifying compounds of modulating the activity of the JAK/STAT pathway described above. More preferably, the effector molecules of (i) and/or (ii) are antibodies or fragments thereof directed against a polypeptide molecule of (ii), antisense molecules directed against a nucleic acid molecule of (i) and/or RNAi molecules.


Further, the present invention is concerned in a fourth aspect with a pharmaceutical composition comprising as an active agent at least one molecule selected from


(i) nucleic acid molecules, comprising

    • (i.1) a nucleotide sequence as shown in SEQ ID NOs. 88 to 265;
    • (i.2) a nucleotide sequence which is complementary to a nucleotide sequence of (i.1);
    • (i.3) a nucleotide sequence which has an identity of at least 65% to a nucleotide sequence of (i.1) or (i.2); and/or
    • (i.4) a nucleotide sequence which hybridizes under stringent conditions to a nucleotide sequence of (i.1), (i.2) or (i.3);


      (ii) polypeptide molecules
    • (ii.1) encoded by the nucleic acid molecules of (i) and/or
    • (ii.2) having the sequences as shown in SEQ ID NOs. 1-87; and


      (iii) effector molecules of (i) and/or (ii).


According to the present invention, the nucleic acid molecules of (i), comprising (i.1) a nucleotide sequence as shown in SEQ ID NOs. 88 to 265, (i.2) a nucleotide sequence which is complementary to a nucleotide sequence of (i.1), (i.3) a nucleotide sequence which has an identity of at least 65% to a nucleotide sequence of (i.1) or (i.2), and/or (i.4) a nucleotide sequence which hybridizes under stringent conditions to a nucleotide sequence of (i.1), (i.2) or (i.3), the polypeptide molecules of (ii) encoded by the nucleic acid molecules of (i) and the effector molecules (of (iii)) of (i) and/or (ii) comprised in the pharmaceutical composition of the invention are as described above.


In addition to the at least one active ingredient, the pharmaceutical composition of the invention may contain suitable pharmaceutically acceptable carriers, diluents and/or adjuvants, which facilitate processing of the active ingredient into preparations, which can be used pharmaceutically. Further details on techniques for formulation and administration may be found in the latest edition of Remington's Pharmaceutical Sciences (Maack Publishing Co., Easton, Pa.).


The pharmaceutical composition of the present invention is particularly suitable for the diagnosis, prevention or treatment of a JAK/STAT pathway associated disorder. Preferably, the JAK/STAT pathway associated disorder is selected from the group consisting of papillary thyroid carcinoma, Refsum disease, blood-brain barrier glucose transport defect, X-linked nonsyndromic mental retardation, long QT syndrome 4, subcortical laminar heterotopia, leukemia, steroid-resistant nephrotic syndrome, invasive pituitary tumor, sporadic Sotos syndrome, autosomal dominant iron overload, hereditary pancreatitis, stomatocytosis I, atypical Rett syndrome, phosphoglycerate dehydrogenase deficiency, Wolman disease, neurophysiologic defect in schizophrenia, autosomal recessive SCID (T-negative/B-positive type), atelostogenesis (type I), Larson syndrome, spondylocarpotarsal synostosis syndrome, frontometaphyseal dysplasia, diabetes mellitus (type II), susceptibility to insulin resistance, Griscelli Syndrome, limb-girdle muscular dystrophy (type 2A), growth hormone insensitivity with immunodeficiency and breast cancer.


In one embodiment of the present invention the pharmaceutical composition is used for the prevention or treatment of a JAK/STAT pathway associated disorder. Pharmaceutical compositions suitable for the prevention or treatment of a JAK/STAT pathway associated disorder include compositions wherein the at least one active ingredient is contained in an effective amount to achieve the intended purpose. The determination of an effective dose is well within the capability of those skilled in the art. For any compounds, the therapeutically effective dose can be estimated initially either in cell culture assays or in animal models, usually mice, rabbits, dogs or pigs. The animal model may also be used to determine the appropriate concentration range and route of administration. Such information can then be used to determine useful doses and routes for administration in humans.


The actual amount of the pharmaceutical composition administered, will of course, be dependent on the subject being treated, on the subject's weight, the severity of the JAK/STAT pathway associated disorder, the manner of administration and the judgement of the prescribing physician. For the pharmaceutical composition of the invention, a daily dosage of 1 to 200 mg of the at least one active ingredient per kg and day, particularly 10 to 100 mg of the at least one active ingredient per kg and day, is suitable. Suitable routes of administration may, for example, include oral, intravenous, intramuscular, intraarterial, intramedullary, intrathecal, intraventricular, transdermal, subcutaneous, intraperitoneal, intranasal, enteral, topical, sublingual or rectal administrations. Preferably, the subject being treated is an animal, in particular a human being.


In another embodiment of the present invention the pharmaceutical composition is used for the diagnosis of a JAK/STAT pathway associated disorder, e.g. a disorder characterized by or associated with the over- or underexpression of a nucleic acid molecule of (i) or a polypeptide molecule of (ii). Diagnostic assays include methods which utilize the pharmaceutical composition and a label to detect the nucleic acid molecule of (i) or polypeptide molecule of (ii) in human body fluids or extracts of cells or tissues.


Finally, a further aspect of the present invention relates to the use of at least one molecule selected from


(i) nucleic acid molecules, comprising

    • (i.1) a nucleotide sequence as shown in SEQ ID NOs. 88 to 265;
    • (i.2) a nucleotide sequence which is complementary to a nucleotide sequence of (i.1);
    • (i.3) a nucleotide sequence which has an identity of at least 65% to a nucleotide sequence of (i.1) or (i.2); and/or
    • (i.4) a nucleotide sequence which hybridizes under stringent conditions to a nucleotide sequence of (i.1), (i.2) or (i.3);


      (ii) polypeptide molecules
    • (ii.1) encoded by the nucleic acid molecules of (i) and/or
    • (ii.2) having the sequences as shown in SEQ ID NOs. 1-87; and


      (iii) effector molecules of (i) and/or (ii);


      for the manufacture of a pharmaceutical composition for the diagnosis, prevention or treatment of a JAK/STAT pathway associated disorder.


According to the present invention, the nucleic acid molecules of (i), comprising (i.1) a nucleotide sequence as shown in SEQ ID NOs. 88 to 265, (i.2) a nucleotide sequence which is complementary to a nucleotide sequence of (i.1), (i.3) a nucleotide sequence which has an identity of at least 65% to a nucleotide sequence of (i.1) or (i.2), and/or (i.4) a nucleotide sequence which hybridizes under stringent conditions to a nucleotide sequence of (i.1), (i.2) or (i.3), the polypeptide molecules of (ii) encoded by the nucleic acid molecules of (i) and the effector molecules (of (iii)) of (i) and/or (ii) used according to the present invention for the manufacture of a pharmaceutical composition for the diagnosis, prevention or treatment of a JAK/STAT pathway associated disorder are as described above.


Moreover, according to the present invention, the pharmaceutical composition and the JAK/STAT pathway associated disorder are as described above.


Methods for the manufacture of a pharmaceutical composition, comprising the step of admixing at least one molecule selected from nucleic acid molecules of (i), comprising (i.1) a nucleotide sequence as shown in SEQ ID NOs. 88 to 265, (i.2) a nucleotide sequence which is complementary to a nucleotide sequence of (i.1), (i.3) a nucleotide sequence which has an identity of at least 65% to a nucleotide sequence of (i.1) or (i.2), and/or (i.4) a nucleotide sequence which hybridizes under stringent conditions to a nucleotide sequence of (i.1), (i.2) or (i.3), polypeptide molecules of (ii) encoded by the nucleic acid molecules of (i) and effector molecules (of (iii)) of (i) and/or (ii) with a pharmaceutically acceptable excipient, vehicle or carrier and optionally other ingredients are well known to those skilled in the art and may be used in performing the present invention.


Further, the present invention shall be explained by the following Tables, Figures and Example.


Tables

Table 1 shows the RNAi JAK/STAT phenotypes.


Table 2 shows the functional groups classified by InterPro prediction and GO.


Table 3 shows the genetic interactions with hopTuml.


Table 4 shows sequence and cytological information.


Table 5 shows human homologues of Drosophila genes with JAK/STAT phenotypes.


Table 6 shows human disease homologues of Drosophila genes with JAK/STAT phenotypes.


Supplementary Table 7 shows the expected and observed phenotype frequency.


Table 7 shows preferred human JAK/STAT homologues ranked according to their involvement in a human disease.


Table 8 shows evolutionary and functional conservation of JAK/STAT pathway components.





FIGURES


FIG. 1 shows the genome-wide RNAi screen for JAK/STAT signalling factors. a: Schematic representation of the Drosophila JAK/STAT signalling pathway. b: Knock-down of known JAK/STAT components leads to loss of pathway induction by Upd whereas knock-down of lacZ, toll and relish show no effect. The red line indicates a 70-fold reporter induction relative to negative control dsRNA. Error bars represent standard deviations of six experiments. c: Screening approach. 20,026 dsRNA were screened in duplicate in 384-well plates prior to computational analysis and retesting. FL: firefly luciferase (indicated in red); RL: Renilla luciferase (indicated in yellow) d: Q-Q plot of normally distributed quantiles against actual screening result quantiles in the pathway reporter channel. A perfect fit to a normal distribution is represented by the red line. Tails of positively and negatively interacting dsRNAs at each extreme with a z-score threshold of >2 and <−2 represent RNAi experiments with significant phenotypes (p<0.05).



FIG. 2 shows the analysis of JAK/STAT activity modulators. a: Schematic representation of positive (red) and negative (green) regulator loci distributed within the Drosophila genome. An interactive version of this panel is available at http://www.dkfz.de/signaling/jak-pathway/cytomap.php. b: Distribution of predicted gene functions. c: Epistasis analysis of the indicated positive pathway regulators showing interactions graded from none (yellow) to strong (red). Results shown have been obtained in two independent octuplicate experiments. Upd: Upd ectopic expression; Upd-CM: Upd conditioned medium; hopTuml: expression of a constitutively active JAK-allele. Colour coding of z-scores is shown in the key.



FIG. 3 shows that dBRWD3 functions as a JAK/STAT pathway component. a: Domain structure and sequence similarity of Drosophila and human BRWD3 proteins. Percentages show the similarity in the amino acid sequence and regions targeted by two independent dsRNAs independently recovered in the screen are shown. b: Adult Drosophila heads heterozygous for the GMR-updA3′ transgene crossed to wild type (left), stat92E (middle) and dBRWD3 mutants (right). Note the strong reduction in eye size following removal of pathway components. c: hopTuml induced tumour formation is significantly decreased in both size and frequency of tumours in stat92E and dBRWD3 heterozygous backgrounds. d: By comparison to adult wild type wings (left), ectopic wing vein material (arrow) is present in homozygous dBRWD3Δ10 mutant (a putative hypomorphic allele, right), a phenotype reminiscent of the stat92EHHJ mutant.



FIG. 4 shows that Ptp61F is a tumour suppressor in vivo. a: Epistasis analysis of ptp61F dsRNA in cell culture revealed that it acts downstream of Hop and upstream or parallel to STAT92E. b: Haemocyte specific misexpression of ptp61F can protect hopTuml mutants from melanotic tumour formation. Compare large black tumours in controls (arrow heads, left) with small tumours present in ptp61F expressing individual (right). c: Quantitative analysis of large tumour formation in hopTuml mutants expressing cytoplasmic Ptp61Fa and nuclear Ptp61Fc shows specificity of rescue for the nuclear isoform (left), an effect that is mirrored by over-expression of the same isoforms in tissue culture based reporter assays (right). Error bars represent standard deviations of 3 or 4 independently tested transgenic lines or eight parallel cell culture experiments.



FIG. 5 shows an overview of primary RNAi screen data. a: False colour representation of the genome-wide screen showing averaged z-scores for each well present in the fifty seven 384-well duplicate plates. Key indicates the colours associated with the z-scores: −4 (red) represents a strong decrease in reporter activity, +4 (blue) represents an increase in activity. Four controls were included in the top left corner of each plate and are visible in all plates except 1 and 9 for which these dsRNA controls failed. b: False colour representation of average z-scores for a representative example from the genome-wide screen (plate 34). Controls present in the lop left corner of each plate were hop (A1), dome (A2), stat92E (B1) and socs36E (B2). dsRNAs from the library were present in all other wells including position B07 which targets hopscotch. L10 which targets CG2033 was excluded from the final list because of a cell viability phenotype previously identified in both Kc and S2R+ cells (Boutros, M. et al., Science 303, 832-5 (2004)). Similarly, 102 and G20 (which both target sbr/CG17335) were excluded due to variability in retesting and a previously described bi-nucleate phenotype (Kiger, A. A. et al., J Biol 2, 27 (2003)). Colour coding for z-scores is shown in the key and uses the same scheme shown in a. c: Histogram of z-scores for the genome-wide screen indicates that the majority of dsRNA experiments do not modify JAK/STAT signaling activity.



FIG. 6 shows the loss of JAK/STAT pathway components and hopTuml induced tumour formation. hopTuml/+; +/+ females (top) frequently contain large black melanotic tumours (arrows). hopTuml/+;stat92E06342/+ heterozygotes which lack one copy of stat92E (middle) contain fewer and smaller tumours. hopTuml/+;dBRWD305842/+ (bottom) also contain fewer and smaller tumours. Flies were grown in parallel independent experiments at 25° C. and are representative examples of the individuals recovered (see Table 3 for further information).



FIG. 7 shows a heat-map showing human JAK/STAT pathway regulating genes identified. Data shown are: the original Drosophila interactions (col 1) expressed as z-scores, fold change in the expression levels of STAT1 and STAT3 target genes (col 2 & 3, respectively) and the levels of phosphorylated STAT1 and STAT3 (col 4 & 5, respectively). In all columns black represents a decrease, white an increase and grey no change in activity.





EXAMPLE

Signalling pathways mediating the transduction of information between cells are essential for development, cellular differentiation and homeostasis (Brivanlou, A. H. & Darnell, J. E., Jr., Science 295, 813-8. (2002)). Their dysregulation is also frequently associated with human malignancies. The JAK/STAT pathway represents one such signalling cascade whose evolutionarily conserved roles include cell proliferation and haematopoiesis (Hombria, J. C. & Brown, S., Curr Biol 12, R569-75 (2002)). Here, the inventors of the present invention describe a systematic genome-wide survey for genes required for JAK/STAT pathway activity. Analysis of 20,026 RNAi-induced phenotypes in cultured Drosophila melanogaster haemocyte-like cells identified interacting genes encoding 4 known and 84 previously uncharacterised proteins. Subsequently, cell based epistasis experiments have been used to classify these based on their interaction with known components of the signalling cascade. In addition to multiple human disease gene homologues, the inventors of the present invention have identified the tyrosine phosphatase Ptp61F and the Drosophila homologue of BRWD3, a bromo-domain containing protein disrupted in leukaemia (Kalla, C. et al., Genes Chromosomes Cancer 42, 128-43 (2005)). Moreover, in vivo analysis demonstrates that disrupted dBRWD3 and overexpressed Ptp61F function as suppressors of leukaemia-like blood cell tumours. This screen represents a comprehensive identification of novel loci required for JAK/STAT signalling and provides molecular insights into an important pathway relevant for human diseases.


1. Experimental Procedures
1.1. Constructs and Pathway Reporter

The JAK/STAT firefly luciferase reporter 6x2xDrafLuc was constructed by multimerisation of a molecularly characterised STAT92E binding site present in the promoter of the endogenous target genes Draf (Kwon, E. J. et al., J Biol Chem 275, 19824-19830 (2000)) while the 4xsocsLuc reporter is based on a single region containing four potential STAT92E binding sites present within the first intron of socs36E (Karsten, P., Hader, S. & Zeidler, M. P., Mech Dev 117, 343-6 (2002)). A Renilla luciferase reporter gene under the control of the constitutively active Actin5C promoter was co-transfected and used to monitor cell number.


Strictly speaking, the JAK/STAT reporter 6x2xDrafLuc was constructed by multimerisation of STAT92E binding sites. Specifically, a 165 bp blunted BamHI/Xbal fragment from the original p2xDrafSTAT(wt) (Kwon, E. J. et al., J Biol Chem 275, 19824-19830 (2000)) (a kind gift of M. Yamaguchi and M.A. Yoo) was inserted into the Smal cut p2xDrafSTAT(wt). The same fragment was amplified by PCR with NotI sites on both ends and inserted into compatible sites to yield the 3x2xDrafLuc reporter containing six STAT92E binding sites. These fragments were amplified again and the resulting 540 bp fragment was inserted into the Sacl cut 3x2xDrafLuc vector to generate the 6x2xDrafLuc reporter with an enhancer of approximately 1000 bp containing a total of 12 STAT92E binding sites. A second independent JAK/STAT pathway reporter, 4xsocsLuc, was generated by amplifying a 745 bp product from genomic DNA using the primers 5′-GTTAGGTACCGGGTCGCAGTATCGTTGGCG-3′ and 5′-CGMGGATCC CTGTCACTTCTCAGAAATCGGTC-3′. This was then cut with EcoRI/BamHI to give a 285 bp fragment, subcloned into pBS(KS+) (Stratagene) and re-excised with Asp718/BamHI. This 340 bp fragment, containing four predicted STAT92E binding sites (Karsten, P., Hader, S. & Zeidler, M., Mech Dev 117, 343. (2002)), was cloned into Asp718/BgIII sites of pGL3 vector (Promega).


The pAct-RL vector expressing Renilla luciferase from a constitutive reporter was generated by cloning a 974 bp fragment coding for Renilla luciferase from pRLSV40 (Invitrogen) into the BamHI/Xbal cut pPAc5c-PL vector (a kind gift from Dan Curtis). To generate the pAct-UpdGFP vector, a cDNA coding for Upd (Harrison, D. A., Binari, R., Nahreini, T. S., Gilman, M. & Perrimon, N., Embo J 14, 2857-65 (1995)) was fused in frame to EGFP via a BamHI site and inserted into the BamHI/Xbal cut pPAc5c-PL vector. A vector expressing the dominant gain-of-function allele HopTumL was cloned by inserting the open reading frame obtained from pUAS-hopTumL (Harrison, D. A., Binari, R., Nahreini, T. S., Gilman, M. & Perrimon, N., Embo J 14, 2857-65 (1995)) into the NotI/Xbal cut pAc5.1A vector (Invitrogen). A pAc5.1-Sid-1 expression construct which was used to facilitate uptake of dsRNA was a gift of Craig Hunter (Feinberg, E. H. & Hunter, C. P., Science 301, 1545-7 (2003)).


To generate Ptp61F. expression constructs, cDNAs encoding Ptp61Fc (LP01280) and Ptp61Fa (RE01370) were obtained from the DrosophilaGenomics Resource Center (University of Indiana). cDNA clones were analysed by restriction analysis and end sequencing to confirm their integrity before subcloning into pAc5.1A and pUAST (Brand, A. H. & Perrimon, N., Development 118, 401-15 (1993)). For Ptp61Fc, the coding region of LP01280 was excised as an EcoRI/XhoI (partial digest) fragment of 1.8 kb and cloned into pUAST. Subsequently, the insert was re-excised with EcoRI/Xbal and cloned into pAc5.1A (Invitrogen). For Ptp61Fa, the coding region of RE01370 was cut out with EcoRI/Asp718(filled) and cloned into pAc5.1A cut EcoRI/Xbal(filled). The generate a pUAST construct, an EcoRI/Asp718 fragment was used.


To clone p[w+,UAS-dPIAS-GFP], the EST clone LD09022 was used as a template in conjunction with the oligos 5′-CATCGGATCCTGCAAAAAGGGG TCCAACGTACC GGAT-3′ and 5′-GGGGTACCAAAAATGGTGCATATGCTT CGA-3′ to amplify a region coding for 522 amino acids. The resulting product was sequenced, cut with Asp718/BamHI and subcloned into pBS-EGFP-B to generate an in frame C-terminal EGFP fusion protein. This gene was then subcloned as an Asp718/Xbal fragment into pUAST (Brand, A. H. & Perrimon, N., Development 118, 401-15 (1993)).


Multiple independent transgenic Drosophila stocks of each transformation vector construct were generated by microinjection of embryos using standard techniques (Spradling, A. C. & Rubin, G. M., Science 218, 341-347 (1982)).


1.2. Genome-Wide RNAi Screening

A genome-wide RNAi library based on PCR templates with an average length of 408 bp flanked by T7-promotor binding sites was generated by in vitro transcription (Boutros, M. et al., Science 303, 832-5 (2004)). Therefore, PCR fragments containing T7 promoter sequences on each end (Hild, M. et al., Genome Biol 5, R3 (2003)) were used as templates to generate 20,026 dsRNAs by in vitro transcription (Boutros, M. et al., Science 303, 832-5 (2004)). After DNAse I treatment, dsRNAs were purified by ethanol precipitation and individually quality controlled by gel electrophoresis. RNAs were diluted to a working stock concentration and aliquoted in ready-to-screen 384-well tissue culture plates (Greiner). Computational mapping predict that the 20,026 RNA fragments target >91% of all predicted genes in the Drosophila genome (Annotation 4.0) (Misra, S. et al., Genome Biol 3, RESEARCH0083-3 (2002)). Protocols and supplemental material can be found at http://www.dkfz-heidelberg.de/signaling/jak-pathway/. Complete primer and amplicon sequence information for double-stranded RNAs including calculation of predicted efficiency and off-target effects for the RNAi library is publicly accessible at http://rnai.dkfz.de.


For screening experiments, Drosophila Kc167 cells were maintained in Schneider's medium (Invitrogen) supplemented with 10% foetal bovine serum (PAA) and 100 μg/ml penicillin-streptomycin (Invitrogen). Cells were grown at 25° C. at subconfluent densities. The RNAi screening experiments were performed in white, polystyrene 384-well tissue culture plates (Greiner 781 073). A total of fiftyseven 384-well screening plates were loaded with an average of 75 nM (500 ng) dsRNA in 5 μl of 1 mM Tris pH 7. Kc167 cells were transfected in batch in 6-well plates with 0.25 μg of the 6x2xDrafLuc JAK/STAT signalling reporter, 0.6 μg of pAct-UpdGFP expression vector, 0.25 μg pAc5.1-Sid-1 (to facilitate RNA uptake (Feinberg, E. H. & Hunter, C. P., Science 301, 1545-7 (2003))) and 0.025 μg of pAct-RL vector as a co-reporter. The total plasmid amount was normalised to 2 μg with a pAc5.1 plasmid (Invitrogen) and 5×106 cells were transfected with Effectene (Qiagen). After 7 hours incubation at 25° C., batch transfected cells were resuspended in serum-free medium. Subsequently 15,000 cells in 20 μl were dispensed per dsRNA containing well using an automated liquid dispenser (MultiDrop, Thermo Labsystems). Cells were incubated for 45 min and 30 μl of serum-containing medium was added to each well. Cells were grown for 5 days to allow for protein depletion. Pathway activity was measured for using a luminescence assay for firefly and Renilla luciferase on a Mithras LB940 plate reader (Berthold Technologies). Luminescence of the Renilla luciferase was measured using a 490 nm filter set. Screens were performed in duplicate. Each plate contained dsRNA targeting stat92E, dome, hop and socs36E in A1, A2, B1, B2 which were used as positive controls (see also FIG. 5b). For retests, an independent JAK/STAT pathway reporter (4xsocsLuc) was used which contained a STAT-binding site from the endogenous JAK/STAT-pathway target socs36E (Karsten, P., Hader, S. & Zeidler, M., Mech Dev 117, 343. (2002)).


To identify candidate genes that significantly increase or decrease JAK/STAT signalling pathway activity, the raw luciferase results were normalised by median centering of each 384-well plate (separately by channel). Z-scores were calculated as the number standard deviation that a particular well differed from the median of the 384-well plate. To minimise false negatives, the inventors of the present invention applied a set of low-stringency criteria to generate a list of candidate genes to be used in specific retests. First, the inventors filtered dsRNA treatments with z-scores >2 for negative regulators or <−2 for positive regulators, respectively. Treatments that showed a high variability between duplicates were excluded. Further, RNAi experiments that showed z-scores of >2 or <−2 in the control channel were not selected for retesting. The inventors also filtered against previously identified cell viability modifiers that show a phenotype in cultured Drosophila cells (Boutros, M. et al., Science 303, 832-5 (2004)). The inventors also excluded genes that showed phenotypes in other screens. These filtering steps led to a final list of approximately 107 candidates that were selected for retesting. New dsRNA was re-synthesized as described above and repeat assays were performed in quadruplicate. 89 of the candidates were confirmed using a second JAK/STAT reporter assay (4xsocsLuc) employed to exclude reporter-specific artefacts. Data analysis and representation were performed using R and Bioconductor (Gentleman, R. C. et al., Genome Biol 5, R80 (2004)).


The predicted genes targeted by 91 dsRNAs were classified according to InterPro (Mulder, N. J. et al., Nucleic Acids Res 33 Database Issue, D201-5 (2005)) and GO (Harris, M. A. et al., Nucleic Acids Res 32, D258-61 (2004); Drysdale, R. A. et al., Nucleic Acids Res 33 Database Issue, D390-5 (2005)) and manual inspection was used to order genes into functional groups. Predicted proteins without InterPro domain or GO annotation were classified as “Unknown” although these sequences might encode structurally conserved proteins. To determine whether Drosophila proteins have homologues in other species, the inventors used BLASTP searches against the protein predictions from H. sapiens (NCBI build 35) with a cut-off of E<10−10. Databases were obtained from Ensembl (http://www.ensembl.org) (Clamp, M. et al., Nucleic Acids Res 31, 38-42 (2003)) and Flybase (hftp://www.flybase.org) (Drysdale, R. A. et al., Nucleic Acids Res 33 Database Issue, D390-5 (2005)). Reciprocal best BLASTP analysis was used to identify the human homologue of CG31132. CG31132 and human BRWD3 are classified as orthologous pairs by InParanoid (http://inparanoid.cgb.ki.se/).


1.3. Cell-Based Epistasis Experiments

To undertake epistasis experiments, cells were transfected with vectors to stimulate pathway activity (see below) for 7 hours and 30,000 cells in 50 μl of serum-free medium were seeded into wells of clear bottom 96-well plates (Greiner), which contained 1.5 μg of the dsRNAs to be tested (listed in FIG. 2c). Following 1 hour incubation, 75 μl medium supplemented with 10% foetal bovine serum was added to the cells, plates were sealed and cells lysed after 5 days to measure luciferase activities.


Each dsRNA was tested for its ability to suppress pathway activity under three conditions: (1) in Upd-expressing cells (screening conditions), (2) in cells treated with Upd-conditioned medium (Upd-CM), and (3) in cells expressing the activated form of JAK, HopTuml (Harrison, D. A., Binari, R., Nahreini, T. S., Gilman, M. & Perrimon, N., Embo J 14, 2857-65 (1995); Luo, H., Hanratty, W. P. & Dearolf, C. R., Embo J 14, 1412-20 (1995)). Specifically, for Upd overexpression 5×106 Kcl67 cells were transfected with 600 ng pAct-UpdGFP, 500 ng 6x2xDrafLuc reporter, 250 ng pAc5.1-Sid-1, 25 ng pAct-RL and pAc5.1 to a total of 2 μg DNA. For HopTumL overexpression, 5×106 Kc167 cells were transfected with 200 ng pAct-hopTumL, 500 ng 6x2xDrafLuc reporter, 250 ng pAc5.1-Sid-1, 25 ng pAct-RL and pAc5.1 to a total of 2 μg DNA. To analyse processes upstream of Upd, two batches of cells were transfected separately to generate ‘responder’ and ‘Upd-producer’ cells. The ‘responder’ cells were batch transfected with 500 ng 6x2xDrafLuc reporter, 250 ng pAc5.1-Sid-1, 25 ng pAct-RL and pAc5.1 to a total of 2 μg plasmid DNA and subsequently seeded into 96-well plates containing the respective dsRNAs as described above. The ‘Upd-producing’ cells were transfected with 2 μg pAct-UpdGFP and cultured in 10 cm dishes (Falcon). Three days after transfection, cells were treated with 50 μg/ml Heparin (Sigma). After 24 hours, the supernatant was harvested, cleared by centrifugation and passed through a 0.2 μm filter (Millipore). 50 μl of this Upd-conditioned medium were then used to stimulate pathway activity in the ‘responder’ cells for 24 hours. Control medium from untransfected Heparin treated cells did not elicit pathway activity (not shown).


Experiments were performed in eight replicates and repeated at least twice. Reporter activity in the firefly luciferase channel was divided by the Renilla luciferase channel to normalise for cell number. Z-scores were calculated as the multiples of the standard deviation that a specific RNAi treatment differed from cells treated with lacZ dsRNA as negative controls. Z-scores were subsequently transformed into a false-colour representations as depicted in FIG. 2c.


RNA controls as shown in FIG. 2c were in vitro transcribed from PCR templates generated using the following gene-specific primer sequences: 5T7lacZ: GAATAATACGACTCACTATAGGGAGACAGTGGCGTCTGGCGGAAAA (SEQ ID NO. 448), 37lacZ: GMTTMTACGACTCACTATAGGGAGATCCGAGCC AGTTTACCCGCT (SEQ ID NO. 449), 5T7gfp: TMTACGACTCACTATAGGACGGC CGCCATTMCMGCAAAAG (SEQ ID NO. 450) and 3T7gfp: TAATACGACTCACT ATAGGCTGGGCGGAGCGGATGATG (SEQ ID NO. 451). Note that the gfp dsRNA was used to target the Upd-GFP transgene and leads to a loss-of pathway activity. lacZ dsRNA was used as a negative control.


For epistasis analysis of the putative negative regulator ptp61F, cells were batch transfected with reporter and Upd inducer as described above. Subsequently, these cells were treated with 1.5 μg of dsRNA targeting the ptp61F transcript and 1.5 μg of dsRNA against lacZ, dome, hop or stat92E. In parallel, cells from the same transfection batch were treated with lacZ, dome, hop or stat92E dsRNAs alone. After normalisation, the values of experiments with control dsRNA alone were set to one. To examine the JAK/STAT phenotype of ptp61F in cells, 5×106 Kc167 cells were transfected with 0.6 μg pAct-UpdGFP, 0.5 μg 6x2xDrafLuc reporter, 0.25 μg pAc5.1-Sid-1, 0.025 μg pAct-RL and pAc5.1 to a total of 2 μg DNA. To assess the effects of the different Ptp61F splice forms, cells were transfected as described before with additional 0.5 μg of pAct-Ptp61Fa, pAct-Ptp61Fc or vector control, respectively. JAK/STAT pathway activation was expressed in relation to control cells.


1.4. Genetics

A P-element insertion termed I(3)05842 (Spradling, A. C. et al., Genetics 153, 135-77 (1999)) was identified in the fourth intron of dBRWD3/CG31132 as part of a Flybase search (Drysdale, R. A. et al., Nucleic Acids Res 33 Database Issue, D390-5 (2005)). A I(3)05842 stock was obtained from the Bloomington stock centre (University of Indiana). The P-element insertion I(3)05842 is homozygous lethal and fails to complement the Df(3R)crb874 and Df(3R)crb87-5 deficiencies. Twenty three independent stocks in which the ry+ marker present in the P[ry+,PZ] insertion had been lost following a cross to a transposase source were established. Of these, seven were viable revertants (30%) and include two stocks with the wing vein phenotype (FIG. 3d), two are semi-lethal with occasional escapers and the remainder were lethal.


For genetic interaction assays, females of the stock y,w,hopTuml/FM7; P [w+,cg-Gal4.A]2 (Harrison, D. A., Binari, R., Nahreini, T. S., Gilman, M. & Perrimon, N., Embo J 14, 2857-65 (1995)) were crossed to wild type controls (OreR and w1118) and mutations in stat92E and I(3)05842. The haemocyte specific Gal4 driver line P[w+,cg-Gal4.A]2 allowed specific UAS insertions to be tested for their potential influence on tumour formation. Transgenic animals expressing UAS-EGFP or UAS-β-galactosidase were used as negative controls while UAS-dPIAS-EGFP served as a positive control (Betz, A., Lampen, N., Martinek, S., Young, M. W. & Darnell, J. E., Jr., Proc Natl Acad Sci USA 98, 9563-8 (2001)) (see Table 3).


Crosses were incubated at 25° C. and adult females heterozygous for the hopTuml chromosome were scored within 24 hours of eclosion for the presence of tumours classified as small (one or two small melanotic spots as shown in FIG. 4b [right]) or large (one or more large melanised growths or more than three small spots; FIG. 4b [left]). Survival rates for hopTuml females appear to be independent of tumour frequency at the time point counted (not shown). Assays were repeated at least twice for each genotype and a representative example from one experiment is shown (FIG. 4b).


Genetic interaction with P[w+,GMR-updΔ3′]′19 was undertaken as described in Genetics 165, 1149-66 ((2003), Bach, E. A., Vincent, S., Zeidler, M. P. & Perrimon, N.) using OreR and STAT92E06346 as negative and positive controls, respectively. Suppression of P[w+,GMR-updΔ3′]′19 induced eye overgrowth by dBRWD305842 was observed in multiple independent experiments in a majority of individuals of the appropriate genotype. Drosophila heads were photographed using a Zeiss STEMI 2000-C binocular microscope and Axiocam camera.


2. Results and Discussion

Developmental genetic screens in Drosophila have identified multiple JAK/STAT pathway components on the basis of their segmentation phenotype (Binari, R. & Perrimon, N., Genes Dev 8, 300-12. (1994); Harrison, D. A., McCoon, P. E., Binari, R., Gilman, M. & Perrimon, N., Genes Dev 12, 3252-63. (1998); Hou, X. S., Melnick, M. B. & Perrimon, N., Cell 84, 411-9 (1996)) and subsequent analysis of the pathway has characterised evolutionarily conserved roles during immune responses, haematopoiesis and cellular proliferation (Lagueux, M., Perrodou, E., Levashina, E. A., Capovilla, M. & Hoffmann, J. A., Proc Natl Acad Sci USA 97, 11427-32. (2000); Boutros, M., Agaisse, H. & Perrimon, N., Dev Cell 3, 711-22. (2002); Meister, M. & Lagueux, M., Cell Microbiol 5, 573-580 (2003); Mukherjee, T., Castelli-Gair Hombria, J. & Zeidler, M. P., Oncogene in press (2005)). The JAK/STAT signalling cascade in Drosophila is comprised of the extracellular ligand Unpaired (Upd) (Harrison, D. A., McCoon, P. E., Binari, R., Gilman, M. & Perrimon, N., Genes Dev 12, 3252-63. (1998)), a trans-membrane receptor with homology to the IL6 receptor family termed Domeless (Dome) (Brown, S., Hu, N. & Castelli-Gair Hombria, J., Curr Biol 11, 1700-5. (2001)), a single Janus tyrosine kinase (JAK) called Hopscotch (Hop) (Binari, R. & Perrimon, N., Genes Dev 8, 300-12. (1994)) and the STAT92E transcription factor (Hou, X. S., Melnick, M. B. & Perrimon, N., Cell 84, 411-9 (1996); Yan, R., Small, S., Desplan, C., Dearolf, C. R. & Darnell, J. E., Jr., Cell 84, 421-30 (1996)) (FIG. 1a). Known regulators of JAK/STAT signalling including a family of SOCS-like genes (Callus, B. A. & Mathey-Prevot, B.; Oncogene 21, 4812-4821 (2002); Karsten, P., Hader, S. & Zeidler, M. P., Mech Dev 117, 343-6 (2002)), dPIAS/Su(var)2-10 (Betz, A., Lampen, N., Martinek, S., Young, M. W. & Darnell, J. E., Jr., Proc Natl Acad Sci USA 98, 9563-8 (2001)) and STAM (Mesilaty-Gross, S., Reich, A., Motro, B. & Wides, R., Gene 231, 173-86 (1999)) are functionally conserved and were identified based on their homology to components originally characterised in mammalian cell culture studies (Hombria, J. C. & Brown, S., Curr Biol 12, R569-75 (2002)). Although successful in identifying the pathway members Upd, Dome, Hop and STAT92E, it is probable that forward genetic approaches have missed components possibly due to non-saturating mutagenesis, genetic redundancy or phenotypic pleiotropy (Nagy, A., Perrimon, N., Sandmeyer, S. & Plasterk, R., Nat Genet 33 Suppl, 276-84 (2003)).


In order to identify novel pathway components and circumvent limitations of classical genetic screens, the inventors of the present invention have undertaken a genome-wide RNA interference (RNAi) screen, a powerful technique for the identification of new components of diverse cellular pathways (Kamath, R. S. et al., Nature 421, 231-7 (2003); Kittler, R. et al., Nature 432, 1036-40 (2004); Berns, K. et al., Nature 428, 431-7 (2004); Paddison, P. J. et al., Nature 428, 427-31 (2004); Boutros, M. et al., Science 303, 832-5 (2004)). To this end, the inventors devised a quantitative assay for JAK/STAT signalling activity in cultured Drosophila cells by multimerising a STAT92E-binding site from the Draf promotor (Kwon, E. J. et al., J Biol Chem 275, 19824-19830 (2000)) to generate the 6x2xDrafLuc firefly luciferase reporter. Given the role for JAK/STAT signalling in haematopoiesis (Meister, M. & Lagueux, M., Cell Microbiol 5, 573-580 (2003)), the inventors used Drosophila hemocyte-like Kc167 cells due to their endogenous ability to respond to pathway activation (FIG. 1b). On transfection of the 6x2xDrafLuc reporter and a plasmid to constitutively express the ligand Upd, a robust induction of the reporter gene activity was observed (FIG. 1b). The inventors first examined whether depletion of known pathway components by RNAi (Clemens, J. C. et al., Proc Natl Acad Sci U S A 97, 6499-6503 (2000)) modifies JAK/STAT signalling activity in Kc167 cells. The inventors assessed the effect of double-stranded (ds) RNAs targeting the mRNA of the genes dome, stat92E and hop, as well as dsRNAs directed against the negative regulators socs36E and dPIAS. As shown in FIG. 1b, knock down of JAK/STAT components results in significant changes in reporter activity while reporter activity in uninduced cells remains at low levels (FIG. 1b).


The inventors then set out to systematically identify genes required for JAK/STAT signalling by generating a library of 20,026 dsRNAs targeting 91% of the predicted transcripts in the Drosophila genome. Using this library the inventors performed duplicate genome-wide screens as outlined in FIGS. 1c and 5. After computational analysis (FIG. 1d), dsRNAs targeting candidates were resynthesised and assayed with an independent reporter, derived from the promoter of the pathway target gene socs36E (Karsten, P., Hader, S. & Zeidler, M. P., Mech Dev 117, 343-6 (2002)) to exclude reporter specific artefacts. These approaches confirmed the identification of 71 dsRNAs which decrease pathway activity (targeting putative positive regulators) and 19 dsRNAs which increase pathway activity (putative negative regulators) (see Table 1). While most modifiers are distributed throughout the genome (FIG. 2a), the X chromosome is devoid of negative regulators, a finding which may be linked to the role of the pathway in Drosophila sex determination (Sefton, L., Timmer, J. R., Zhang, Y., Beranger, F. & Cline, T. W., Nature 405, 970-3 (2000)).


Based on InterPro and GO annotations, pathway modifiers were classified according to their predicted functions. Signalling factors, enzymes mediating post-translational protein modifications and transcription factors cumulatively represent 47% of the genes identified (FIG. 2b). Furthermore, 74% of the identified loci possess human homologues (E-value <10−10), 33% of which have been implicated in human disease (Tables 5 and 6). Examples of genes identified in the screen include CG11501 encoding a putatively secreted negative regulator of JAK/STAT signalling previously demonstrated to be a pathway target gene (Boutros, M., Agaisse, H. & Perrimon, N., Dev Cell 3, 711-22. (2002)), enok/CG11290 encoding an acetyl-transferase and the tumor suppressor protein 101/CG9712 gene which encodes a ubiquitin conjugating enzyme. The molecular role of these genes in the regulation of JAK/STAT signalling remains to be determined.


A genetic technique to characterise signalling molecules is the determination of their epistatic relationship with respect to defined pathway components. The inventors therefore performed cell-based epistatic assays to determine the pathway response to Upd expression, Upd conditioned medium or expression of the constitutively active JAK allele hopTuml (Harrison, D. A., McCoon, P. E., Binari, R., Gilman, M. & Perrimon, N., Genes Dev 12, 3252-63. (1998); Sefton, L., Timmer, J. R., Zhang, Y., Beranger, F. & Cline, T. W., Nature 405, 970-3 (2000)) while simultaneously targeting a subset of positive regulators. In this way, dsRNA-inactivated genes required upstream in the pathway can be characterised on the basis of their rescue by pathway activation further downstream (FIG. 2c). For example, while depletion of the interferon-related protein encoded by CG15401 results in down-regulation of signalling stimulated by Upd expression, stimulation by Upd conditioned medium or hopTuml is unaffected (FIG. 2c). This suggests that CG15401 is required for the production and/or activity of the Upd ligand. Conversely, loss of pathway activity resulting from the knock down of CG18670 and CG6400 (now annotated as one gene termed CG31132) cannot be rescued by any form of pathway stimulus implying a function downstream of JAK (FIG. 2c). Although this analysis suggests a role for multiple genes upstream of Dome, this classification is based on the lack of interaction observed under the differing experimental conditions and the molecular basis of these results remains to be confirmed.


In order to confirm the function of candidate genes in vivo, the inventors tested examples of both positive and negative regulators of the JAK/STAT signalling pathway. One positive regulator mentioned above is CG31132 which encodes a 2232 amino acid WD40 and bromo-domain containing protein homologous to human BRDW3 (FIG. 3a). BRDW3 is a functionally uncharacterised locus recently identified at the break point of t(X;11) (q13;q23) translocations derived from multiple B-cell chronic lymphocytic leukaemia (B-CLL) patients (Kalla, C. et al., Genes Chromosomes Cancer 42, 128-43 (2005)). In the screen, reduction of pathway activity was observed for two independent dsRNAs present in the library that target different regions of the transcript (FIG. 3a).


A previously uncharacterised mutagenic P-element inserted in the fourth intron of CG31132 (henceforth termed dBRDW305842) has been deposited in public stock collections as part of the Drosophila genome project and remobilisation of this transposon indicates that the insertion is responsible for late embryonic lethality. The inventors therefore tested for genetic interactions between dBRDW3 and JAK/STAT signalling by crossing the dBRDW305842 allele to GMR-updΔ3′ (Bach, E. A., Vincent, S., Zeidler, M. P. & Perrimon, N., Genetics 165, 1149-66 (2003)). The GMR-upd□3′ transgene ectopically misexpress Upd during eye development resulting in cellular overproliferation and an enlarged adult eye (FIG. 3b (left)). Furthermore, removal of one copy of stat92E significantly suppresses eye overgrowth (FIG. 3b (middle)) due to a reduction in the potency of JAK/STAT signalling (Bach, E. A., Vincent, S., Zeidler, M. P. & Perrimon, N., Genetics 165, 1149-66 (2003)). Removal of a single copy of dBRDW3 was also able to suppress the GMR-updΔ3′ phenotype (FIG. 3b (right)) as expected for a positive regulator of JAK/STAT signalling. In addition, a chromosomal deficiency removing the region has also been independently identified as a suppressor of GMR-updΔ3′ (Bach, E. A., Vincent, S., Zeidler, M. P. & Perrimon, N., Genetics 165, 1149-66 (2003)).


One phenotypic consequence of constitutive JAK/STAT activation caused by the gain-of-function JAK allele hopTuml is the overproliferation of haemocytes and the frequent formation of melanotic tumours, a phenotype previously described as a Drosophila model for leukaemia (Luo, H., Hanratty, W. P. & Dearolf, C. R., Embo J 14, 1412-20 (1995); Harrison, D. A., Binari, R., Nahreini, T. S., Gilman, M. & Perrimon, N., Embo J 14, 2857-65 (1995)). The inventors found that the removal of one copy of dBRWD3 is sufficient to reduce the size and the frequency of hopTuml induced melanotic tumours (FIG. 3c and Table 3). Moreover, homozygous escapers of a putative hypomorphic allele of dBRWD3, generated by excision of the original P-element, frequently develop ectopic wing vein material (FIG. 3d) reminiscent of the weak loss-of-function stat92EHJ allele (Yan, R., Luo, H., Darnell, J. E., Jr. & Dearolf, C. R., Proc Natl Acad Sci USA 93, 5842-7 (1996)). Taken together, these experiments suggest a role for dBRWD3 in JAK/STAT signalling.


As a second example the inventors analysed the ptp61F gene which encodes a protein tyrosine phosphatase. dsRNA knocking down all mRNA splice forms transcribed from this locus leads to an increase in JAK/STAT signalling activity. The inventors performed epistasis analysis in which the inventors removed known pathway components and tested for the effect of simultaneously targeting ptp61F. Double RNAi against ptp61F together with lacZ, dome or hop results in pathway stimulation (FIG. 4a). However, simultaneous removal of ptp61F and stat92E is sufficient to prevent signalling (FIG. 4a). Loss of this phosphatase therefore results in the stimulation of STAT92E activity even in the absence of upstream components indicating that Ptp61F negatively regulates the pathway downstream of JAK. The inventors next asked whether Ptp61F also interferes with JAK/STAT signalling in vivo by using the cg-Gal4 driver to misexpress ptp61F in blood cells of hopTuml mutants. Misexpression of Ptp61Fc in a hopTuml mutant background resulted in a suppression of melanotic tumour formation with the average frequency of large tumours reduced by approximately 4 fold, an effect also observed following the misexpression of the known negative regulator dPIAS (Betz, A., Lampen, N., Martinek, S., Young, M. W. & Darnell, J. E., Jr., Proc Natl Acad Sci USA 98, 9563-8 (2001)) (FIG. 4b and Table 3). Alternative splicing of ptp61F leads to nuclear and cytoplasmic protein forms which both contain the same phosphatase domain (McLaughlin, S. & Dixon, J. E., J Biol Chem 268, 6839-42 (1993)). However, the tumour suppressor phenotype is only observed with nuclear Ptp61Fc (FIG. 4c), an effect that is reproduced by over-expression of the nuclear localised protein in cell culture (FIG. 4c). These results are consistent with our identification of ptp61F as a negative regulator of pathway activity and suggest that it may function by targeting phosphorylated, nuclear localised STAT92E for deactivation.


Aberrant JAK/STAT signalling has been implicated in multiple human malignancies and its components have been proposed as molecular targets for the development of therapeutic compounds (O'Shea, J. J., Pesu, M., Borie, D.C. & Changelian, P. S., Nat Rev Drug Discov 3, 555-64 (2004)). The genome-wide screen presented here identified known and previously unknown genes and the inventors have characterised their likely level of interaction with defined pathway components using cell-based epistasis analysis. Of the 89 JAK/STAT modifiers identified, many have human homologues that remain to be characterised. The inventors have here performed an analysis of two examples in vivo and demonstrate their roles in regulating the pathway during development and tumour genesis in Drosophila. One of these is a homologue of human BRWD3, a gene recently identified at the break-point of a translocation isolated from multiple B-CLL patients (Kalla, C. et al., Genes Chromosomes Cancer 42, 128-43 (2005)). Given our functional analysis of dBRWD3 and the known roles for JAK/STAT signalling during normal haematopoiesis, it is possible that a breakdown in BRWD3 mediated STAT regulation may represent a key molecular mechanism leading to the development of B-CLL. Thus, comprehensive reverse genetic surveys for signalling pathway components using Drosophilaas a model organism represent a potentially powerful approach with which insights relevant to human disease can be obtained.


Example 2

Novel components regulating the JAK/STAT pathway in Drosophilamelanogaster have been previously been identified using a robust STAT92E responsive reporter assay in combination with genome-wide RNAi (Müller, P., Kuttenkeuler, D., Gesellchen, V. Zeidler, M.P. and Boutros M. (2005) “Identification of JAK/STAT signalling components by genome-wide RNAi” Nature 436 871-875). Having identified the essential components in Drosophila, a second crucial step is the identification of human functional orthologs. Given that many of the potential human orthologs have been implicated in human disease, these proteins, and the mRNAs that encode them, may represent targets for therapeutic interventions by small molecules or RNAi based approaches. Using a HeLa cell model we have assayed the activity of endogenous STAT1 and STAT3 following treatment with siRNA targeting potential pathway modulating genes. Assays of hSTAT phosphorylation state and the expression levels of their targets, have identified 27 human genes, which function as modulators of human JAK/STAT signal transduction. These have been ranked on the basis of potential significance and are listed in Table 7 together with the human diseases they have previously been associated with.


Results

Compared to Drosophila, the JAK/STAT pathway in mammalians is much more complex in that multiple paralogs exist for the pathway ligand, receptor, JAK and STAT. As an initial approach towards identifying regulators of human JAK/STAT signaling, we have analyzed phenotypes caused by siRNA-mediated knockdown of candidate pathway modifiers in human cells. Human genes for this analysis were selected based on their homology to Drosophila JAK/STAT pathway regulators previously identified (Müller et al. 2005). Homology prediction by a variety of methods yielded 73 candidates homologous to 56 Drosophila genes. Pools of 4 siRNAs per candidate (Dharmacon SMARTpools) were used to ensure the efficiency and specificity of knockdown. As an easily tractable model, we have used human cancer-derived HeLa cells which express multiple STATs and which respond to stimulation by a variety of cytokine ligands (Ehret G.B., Reichenbach P., Schindler U., Horvath C.M., Fritz S., Nabholz M., Bucher P. (2001) “DNA binding specificity of different STAT proteins. Comparison of in vitro specificity with natural target sites” J Biol Chem 276 6675-6688).


Two approaches have been used to determine the activity of STAT1 and STAT3 in the HeLa cell system tested. Firstly, the levels of tyrosine-701-phosphorylated STAT1 (pSTAT1) and tyrosine-705-phosphorylated STAT3 (pSTAT3) were determined in HeLa cell lysates that had been stimulated with human Interferon gamma (INFγ) or Oncostatin M (OSM) for 15 min, respectively. These cells had previously been treated with siRNA targeting either controls or the putative pathway interactors for 72hs. After determination of the overall level of STAT1/3, the western blots were stripped and re-probed with pSTAT1 and pSTAT3 antibodies and with antibodies to determine β-ACTIN levels as a normalization control. The relative levels of pSTAT1/3 versus STAT1/3 were assessed with regard to the overall level of β-ACTIN detected and a call made representing either an increase in PSTAT levels (+), a decrease in PSTAT (−) or no change (FIG. 7 column 4 & 5).


As a second independent approach to determine the level of STAT1 and STAT3 activity, the expression levels of the previously characterized pathway target genes GBPI (a STAT1 target) and SOCS3 (a STAT3 target) were determined 6 hrs after stimulation of HeLa cells with INFy and OSM, respectively. As before, cells had previously been treated with siRNA targeting either controls or putative pathway regulators for 72 hrs. Target gene levels were determined using branched DNA technology (QuantiGene, Panomics) and normalized to the level of β-actin mRNA. Results from duplicate assays are expressed as fold changes in target gene expression levels relative to cells treated with control siRNA. Statistically significant changes in response (p<0.05) are shown in black (decrease in expression level) or white (increase in expression) (FIG. 7 column 2 & 3, Table 8 column 5 & 6). In this table the scores relating to hSTAT1 and hSTAT3 target genes are expressed such that 1 is the expression level induced by pathway ligands following treatment with a control siRNA. Numbers below 1 therefore indicate a reduction in expression while scored above 1 represent an increase. Scores for Drosophila STAT92E are expressed as z-scores—a measure of statistical significance in which significant suppression of activity is represented by numbers <−2.0 while significant enhancement is represented by values >+2.0. Statistically significant changes are indicated by the change in colour of the boxes shown in FIG. 7. Note that only genes which interact via at least one assay are shown and other human homologues of interacting Drosophila genes not listed did not show any interaction with the STAT1 or STAT3 assays used.


Analysis of these two independent data sets, in conjunction with the scores originally obtained for the Drosophila orthologs (FIG. 7 column 1 and Table 8, column 4) has identified positively acting factors that are required for both STAT1 & 3 as well as factors that are required specifically by only STAT1 or STAT3. In addition negatively acting factors acting on either or both STATs have been found. Finally, some factors act positively for one STAT and negatively for another (this may be a result of redundancy within the pathway) while others act as positive regulators in Drosophila but as negative regulators in human cells. This analysis has lead to the compilation of a list of human genes playing a role in the regulation of human JAK/STAT signaling (Table 7). These genes have been ranked by order of interest (highest at the top; Table 7) as judged by criteria such as involvement in human disease, predicted sub-cellular localization and strength of interaction.









TABLE 1







JAK/STAT phenotypes by RNAi
















z-score
z-score








[6 × 2 × Draf-
[4 × SOCS-
Functional group assignment (based on GO
Interpro 8.0


Gene name
dsRNA ID
luc]
luc]
and Interpro evidence)
evidence
GO Evidence
SEQ ID NO.










Positive Regulators














Art2
HFA00627
−2.9
−3.2
Protein modifying enzymes/Metabolism
IPR000051
GO: 0016274; protein-arginine N-methyltransferase activity
SEQ ID NO. 175


asf1
HFA11324
−2.3
−2.5
Others
IPR008967
GO: 0003682; chromatin binding
SEQ ID NO. 176


bin3
HFA04919
−3.1
−3.3
Unknown
IPR000051
na; na
SEQ ID NO. 177


CG10007
HFA14173
−3.2
−2.9
Unknown
noIPR
na; na
SEQ ID NO. 178


CG10730
HFA02102
−2.1
−2.3
Unknown
IPR004245
na; na
SEQ ID NO. 179


CG10960
HFA09807
−2.0
−2.1
Protein modifying enzymes/Metabolism
IPR005829
GO: 0005355; glucose transporter activity
SEQ ID NO. 180


CG11307
HFA11648
−2.3
−2.4
Unknown
noIPR
GO: 0016757; transferase activity
SEQ ID NO. 181


CG11696
HFA19417
−2.0
−2.3
Transcription regulators
IPR007087
GO: 0003677; DNA binding
SEQ ID NO. 182


CG12213
HFA14478
−3.3
−3.2
Unknown
IPR009053
na; na
SEQ ID NO. 183


CG12460
HFA20970
−3.3
−3.4
Transcription regulators
IPR000504
GO: 0030528; transcription regulator activity
SEQ ID NO. 184


CG12479
HFA19459
−2.3
−2.4
Unknown
IPR007512
na; na
SEQ ID NO. 185


CG13243
HFA01920
−2.7
−2.6
Unknown
IPR003117
na; na
SEQ ID NO. 186


CG13473
HFA10017
−2.4
−2.1
Cytoskeleton and Transport
IPR006662
GO: 0005489; electron transporter activity
SEQ ID NO. 187


CG14434
HFA17927
−2.0
−2.3
Unknown
IPR008173
na; na
SEQ ID NO. 188


CG15306
HFA17993
−3.3
−3.1
Signal transduction
IPR001715
GO: 0005102; receptor binding
SEQ ID NO. 189


CG15418
HFA00432
−2.1
−2.1
Protein modifying enzymes/Metabolism
IPR002223
GO: 0004866; endopeptidase inhibitor activity
SEQ ID NO. 190


CG15434
HFA00449
−2.5
−2.9
Protein modifying enzymes/Metabolism
IPR007741
GO: 0003954; NADH dehydrogenase activity
SEQ ID NO. 191


CG15555
HFA15093
−2.3
−2.6
Others
IPR001873
GO: 0015268; alpha-type channel activity
SEQ ID NO. 192


CG15784
HFA18090
−2.4
−2.6
Unknown
IPR009072
na; na
SEQ ID NO. 193


CG16903
HFA18561
−2.8
−2.8
Transcription regulators
IPR011028
GO: 0016251; general RNA polymerase II transcription factor activity
SEQ ID NO. 194


CG17179
HFA10258
−2.1
−2.8
Unknown
IPR001680
na; na
SEQ ID NO. 195


CG18160
HFA21006
−3.1
−2.4
Unknown
noIPR
na; na
SEQ ID NO. 196


CG30069
HFA06272
−2.9
−2.2
Protein modifying enzymes/Metabolism
noIPR
GO: 0016491; oxidoreductase activity
SEQ ID NO. 197


CG3058
HFA00563
−3.4
−3.5
Cytoskeleton and Transport
IPR006663
GO: 0005489; electron transporter activity
SEQ ID NO. 198


CG31005
HFA15507
−2.3
−3.0
Protein modifying enzymes/Metabolism
IPR000092
GO: 0000010; trans-hexaprenyltranstransferase activity
SEQ ID NO. 199


CG31132
HFA16032
−2.8
−3.5
Unknown
IPR001487
na; na
SEQ ID NO. 200


CG31132
HFA15369
−2.3
−3.6
Unknown
IPR001487
na; na
SEQ ID NO. 201


CG31358
HFA15235
−2.0
−2.2
Cytoskeleton and Transport
IPR001972
GO: 0005200; structural constituent of cytoskeleton
SEQ ID NO. 202


CG31694
HFA00415
−2.8
−2.7
Signal transduction
IPR006921
GO: 0005102; receptor binding
SEQ ID NO. 203


CG32406
HFA09966
−2.1
−2.2
Signal transduction
IPR000980
na; na
SEQ ID NO. 204


CG32573
HFA19906
−3.1
−2.9
Unknown
IPR000719
na; na
SEQ ID NO. 205


CG3281
HFA15470
−3.1
−3.0
Transcription regulators
IPR007087
GO: 0030528; transcription regulator activity
SEQ ID NO. 206


CG3819
HFA10378
−2.3
−2.3
Unknown
IPR001604
na; na
SEQ ID NO. 207


CG4022
HFA10395
−3.4
−3.7
Unknown
noIPR
na; na
SEQ ID NO. 208


CG40351
HFA20930
−2.6
−2.7
Transcription regulators
IPR001214
GO: 0030528; transcription regulator activity
SEQ ID NO. 209


CG4349
HFA19892
−4.1
−2.1
Others
IPR009040
GO: 0008199; ferric iron binding
SEQ ID NO. 210


CG4446
HFA10420
−2.7
−2.7
Protein modifying enzymes/Metabolism
IPR004625
GO: 0008478; pyridoxal kinase activity
SEQ ID NO. 211


CG4653
HFA19909
−3.2
−3.0
Protein modifying enzymes/Metabolism
IPR001254
GO: 0004263; chymotrypsin activity
SEQ ID NO. 212


CG4781
HFA04488
−2.5
−2.5
Unknown
IPR003591
na; na
SEQ ID NO. 213


CG6422
HFA16036
−3.3
−3.2
Unknown
IPR007275
na; na
SEQ ID NO. 214


CG6434
HFA10635
−2.8
−2.8
Unknown
IPR001680
na; na
SEQ ID NO. 215


CG6946
HFA16145
−2.3
−2.9
RNA processing and Translation
IPR000504
GO: 0003723; RNA binding
SEQ ID NO. 216


CG7635
HFA20054
−2.9
−2.8
Cytoskeleton and Transport
IPR001972
GO: 0005200; structural constituent of cytoskeleton
SEQ ID NO. 217


CG8108
HFA09675
−2.7
−2.7
Transcription regulators
IPR007087
GO: 0003676; nucleic acid binding
SEQ ID NO. 218


CG9086
HFA20148
−2.8
−2.9
Signal transduction
IPR009030
GO: 0005057; receptor signaling protein activity
SEQ ID NO. 219


CkIIalpha
HFA11946
−2.1
−2.5
Signal transduction
IPR000719
GO: 0004702; receptor signaling protein serine/threonine kinase activity
SEQ ID NO. 220


CkIIbeta
HFA20230
−2.7
−2.6
Signal transduction
IPR000704
GO: 0004702; receptor signaling protein serine/threonine kinase activity
SEQ ID NO. 221


comm3
HFA09995
−2.2
−2.2
Unknown
noIPR
na; na
SEQ ID NO. 222


CtBP
HFA16617
−2.9
−2.8
Transcription regulators
IPR006139
GO: 0003714; transcription corepressor activity
SEQ ID NO. 223


dome
HFA19583
−6.2
−4.9
Signal transduction
IPR000194
GO: 0004907; interleukin receptor activity
SEQ ID NO. 224


eIF-4B
HFA20983
−3.2
−3.0
RNA processing and Translation
IPR000504
GO: 0003723; RNA binding
SEQ ID NO. 225


HDC01676
HFA01091
−2.3
−2.6
Unknown
IPR006202
na; na
SEQ ID NO. 226


HDC11198
HFA11427
−2.3
−2.2
Unknown
noIPR
na; na
SEQ ID NO. 227


hop
HFA20340
−5.7
−4.1
Signal transduction
IPR001245
GO: 0004718; Janus kinase activity
SEQ ID NO. 228


Ipk2
HFA00357
−2.6
−4.0
Signal transduction
IPR005522
GO: 0050516; inositol-polyphosphate multikinase activity
SEQ ID NO. 229


jbug
HFA04167
−2.7
−3.2
Cytoskeleton and Transport
IPR001298
GO: 0005200; structural constituent of cytoskeleton
SEQ ID NO. 230


kn
HFA07637
−2.4
−2.4
Transcription regulators
IPR003523
GO: 0030528; transcription regulator activity
SEQ ID NO. 231


l(1)G0084
HFA19450
−2.1
−2.1
Transcription regulators
IPR001965
GO: 0003677; DNA binding
SEQ ID NO. 232


larp
HFA16984
−2.5
−2.4
Unknown
IPR006630
na; na
SEQ ID NO. 233


mask
HFA15370
−2.3
−2.7
Signal transduction
IPR002110
GO: 0005102; receptor binding
SEQ ID NO. 234


mst
HFA20582
−2.2
−2.6
Unknown
noIPR
na; na
SEQ ID NO. 235


nonA
HFA20357
−3.0
−3.3
RNA processing and Translation
IPR000504
GO: 0030528; transcription regulator activity
SEQ ID NO. 236


Obp93a
HFA15220
−2.4
−2.9
Cytoskeleton and Transport
IPR006170
GO: 0005549; odorant binding
SEQ ID NO. 237


Rrp1
HFA00784
−4.3
−4.3
Others
IPR000097
GO: 0004520; endodeoxyribonuclease activity
SEQ ID NO. 238


sol
HFA20587
−2.5
−3.0
Others
IPR001876
GO: 0005516; calmodulin binding
SEQ ID NO. 239


Stat92E
HFA16870
−5.0
−5.2
Signal transduction
IPR001217
GO: 0004871; signal transducer activity
SEQ ID NO. 240


Taf2
HFA11298
−2.7
−2.9
Transcription regulators
IPR002052
GO: 0016251; general RNA polymerase II transcription factor activity
SEQ ID NO. 241







Negative regulators














bon
HFA16914
5.6
4.8
Protein modifying enzymes/Metabolism
IPR001841
GO: 0004842; ubiquitin-protein ligase activity
SEQ ID NO. 242


Caf1
HFA16596
3.0
2.6
Protein modifying enzymes/Metabolism
IPR001680
GO: 0035035; histone acetyltransferase binding
SEQ ID NO. 243


CG10077
HFA09691
2.8
4.0
RNA processing and Translation
IPR001410
GO: 0003724; RNA helicase activity
SEQ ID NO. 244


CG11400
HFA06070
2.6
2.2
Unknown
noIPR
na; na
SEQ ID NO. 245


CG11501
HFA14317
3.7
3.1
Unknown
noIPR
na; na
SEQ ID NO. 246


CG13499
HFA04144
2.5
3.1
Unknown
noIPR
na; na
SEQ ID NO. 247


CG14247
HFA14742
3.2
3.4
Unknown
IPR002557
na; na
SEQ ID NO. 248


CG15706
HFA06577
2.2
2.1
Unknown
IPR011701
na; na
SEQ ID NO. 249


CG16975
HFA02552
2.7
2.7
Transcription regulators
IPR001660
GO: 0030528; transcription regulator activity
SEQ ID NO. 250


CG17492
HFA02623
2.5
2.1
Protein modifying enzymes/Metabolism
IPR001841
GO: 0004842; ubiquitin-protein ligase activity
SEQ ID NO. 251


CG18112
HFA15304
2.1
2.1
Unknown
IPR001829
na; na
SEQ ID NO. 252


CG30122
HFA06935
3.3
2.8
Transcription regulators
IPR003034
GO: 0003677; DNA binding
SEQ ID NO. 253


CG4907
HFA15673
3.3
3.5
Unknown
IPR007070
na; na
SEQ ID NO. 254


dre4
HFA08714
2.6
2.5
Transcription regulators
IPR000994
GO: 0003712; transcription cofactor activity
SEQ ID NO. 255


enok
HFA04096
3.0
3.0
Transcription regulators
IPR001965
GO: 0030528; transcription regulator activity
SEQ ID NO. 256


lig
HFA07247
2.2
2.1
Unknown
IPR009060
na; na
SEQ ID NO. 257


Nup154
HFA03384
2.9
2.9
Cytoskeleton and Transport
IPR011045
GO: 0005487; nucleocytoplasmic transporter activity
SEQ ID NO. 258


par-1
HFA07660
4.4
4.2
Signal transduction
IPR000719
GO: 0004674; protein serine/threonine kinase activity
SEQ ID NO. 259


Pp1alpha-96A
HFA16795
3.0
3.8
Signal transduction
IPR006186
GO: 0004722; protein serine/threonine phosphatase activity
SEQ ID NO. 260


PP2A-B′
HFA16344
2.6
2.5
Signal transduction
IPR002554
GO: 0008601; protein phosphatase type 2A regulator activity
SEQ ID NO. 261


Ptp61F
HFA08683
5.9
8.1
Signal transduction
IPR000863
GO: 0004725; protein tyrosine phosphatase activity
SEQ ID NO. 262


Rab5
HFA00777
2.1
2.1
Signal transduction
IPR001806
GO: 0005525; GTP binding
SEQ ID NO. 263


Socs36E
HFA02455
3.2
2.3
Signal transduction
IPR000980
GO: 0007259; JAK-STAT cascade
SEQ ID NO. 264


TSG101
HFA11098
3.1
3.4
Protein modifying enzymes/Metabolism
IPR001440
GO: 0004842; ubiquitin-protein ligase activity
SEQ ID NO. 265





InterPro Evidence was obtained from: Mulder et al. (2005). InterPro, progress and status in 2005.


GO Evidence was obtained from: R. A. Drysdale, M. A. Crosby and The FlyBase Consortium (2005). FlyBase: genes and gene models. Nucleic Acids Research 33: D390-D395. http://flybase.org/


All 384-well screening plates contained dsRNAs against known JAK/STAT pathway components.


Controls for the 57 screening plates were stat92E RNAI (identified 55 times), hop RNAi (identified 37 times), dome RNAi (identified 55 times) and socs36E RNAi (identified 45 times)


An Interactive table with links to the Interpro records is available at http://www.dkfz.de/signaling/jak-pathway/













TABLE 2







Functional groups classified by InterPro prediction and GO.










Functional Group
N*














Signalling factors
17



Transcription factors
14



Protein modification and Metabolism
12



Cytoskeleton and Transport
7



All others
9



Predicted proteins classified as part of a
59



Predicted proteins without classification
31







Queries were performed with InterPro 8.0




InterPro and GO results classified into one of functionally related groups. See Table 1 for complete list of genes, specific IPR domains and GO assigned within each group.




*Number of proteins identified with InterPro domains and/or GO found in 90 translated gene sequences.













SUPPLEMENTARY TABLE 3







Genetic interactions with hopTuml (1)











Insert/
Tumours (%)















Exp
Genotype
Allele
None
Small
Large
n
z-score

















I
y, w, hopTuml/+; +/+
OreR
31.0
50.6
18.4
358
−0.4(*)


II
y, w, hopTuml/+; +/+
OreR
31.0
43.8
25.2
445
−0.4(*)


II
y, w, hopTuml/+; +/+
w1118
23.9
31.2
44.9
356
0.6(*)


II
y, w, hopTuml/+; STAT92E/+
397
67.5
21.5
11.0
228
−5.3(2)


I
y, w, hopTuml/+; STAT92E/+
06346
68.6
26.1
5.3
283
−5.4(3)


II
y, w, hopTuml/+; STAT92E/+
06346
64.2
26.6
9.2
282
−4.9(3)


II
y, w, hopTuml/+; dBRWD3/+
05842
56.6
24.4
19.0
221
−3.8


I
y, w, hopTuml/+; cg-Gal4/UAS-EGFP
5a.2
19.9
35.1
45.0
151
1.2(*)


II
y, w, hopTuml/+; cg-Gal4/UAS-EGFP
6a.3
41.0
33.3
25.7
451
−1.7(*)


II
y, w, hopTuml/+; cg-Gal4/UAS-lacZ
BG4-1-2
25.8
26.4
47.8
341
0.4(*)


II
y, w, hopTuml/+; cg-Gal4/UAS-ptp61Fa
1b.2
46.5
27.7
25.7
101
−2.5


I
y, w, hopTuml/+; cg-Gal4/UAS-ptp61Fa
1b.2
46.5
29.1
24.3
230
−2.5


I
y, w, hopTuml/+; cg-Gal4/UAS-ptp61Fa
1a.3
22.6
28.8
48.6
177
0.8


II
y, w, hopTuml/+; cg-Gal4/UAS-ptp61Fa
1a.3
19.6
24.4
56.0
168
1.2


II
y, w, hopTuml/+; cg-Gal4/UAS-ptp61Fa
3a.3
35.8
28.5
35.8
165
−1.0


I
y, w, hopTuml/+; cg-Gal4/UAS-ptp61Fa
7a.3
16.4
36.1
47.5
61
1.6


II
y, w, hopTuml/+; cg-Gal4/UAS-ptp61Fc
1a.1
68.2
21.4
10.4
280
−5.4


II
y, w, hopTuml/+; cg-Gal4/UAS-ptp61Fc
2a.4
56.1
30.6
13.3
255
−3.8


I
y, w, hopTuml/+; cg-Gal4/UAS-ptp61Fc
2a.4
52.3
40.7
7.0
344
−3.2


I
y, w, hopTuml/+; cg-Gal4/UAS-ptp61Fc
2b.3
59.4
33.8
6.8
234
−4.2


II
y, w, hopTuml/+; cg-Gal4/UAS-ptp61Fc
2b.3
63.3
29.3
7.3
300
−4.7


II
y, w, hopTuml/+; cg-Gal4/UAS-dPIAS-GFP
26b.3
67.0
27.4
5.7
106
−5.2(4)


I
y, w, hopTuml/+; cg-Gal4/UAS-dPIAS-GFP
26b.3
63.1
33.6
3.3
122
−4.7(4)





Values shown represent percentage of 0-24 hr old female flies containing no, small or large tumours visible in abdomen or thorax. Table shows results from two independent experiments (first column) undertaken under identical conditions.



(*)‘wild type’ results used to calculate z-scores



References:



(1)Hanratty, W. P. & Dearolf, C. R. The Drosophila Tumorous-lethal hematopoietic oncogene is a dominant mutation in the hopscotch locus. Mol Gen Genet 238, 33-7 (1993).




(2)Silver, D. L. & Montell, D. J. Paracrine signaling through the JAK/STAT pathway activates invasive behavior of ovarian epithelial cells in Drosophila. Cell 107, 831-841 (2001).




(3)Hou, X. S., Melnick, M. B. & Perrimon, N. Marelle acts downstream of the Drosophila HOP/JAK kinase and encodes a protein similar to the mammalian STATs. Cell 84, 411-9 (1996).




(4)Betz, A., Lampen, N, Martinek, S., Young, M. W. & Darnell, J. E. Jr. A Drosophila PIAS homologue negatively regulates stat92E. Proc Natl Acad Sci USA 98, 9563-8 (2001).














TABLE 4





Sequence and cytological information

















dsRNA ID
Amplicon primer 1A
Ampilcon primer 2





HFA00627
TGC CTG TTT TCT GGA AAT ATG
CTC GCT GGG TTT CAT GGT





HFA11324
TCG AAC TCA CGT TCG AGT
ATC ATC TTC GGG ATG GAT AAC





HFA04919
GAG ATA CCC CGT GAT GAC A
CTT GGG AAT ACG CAC AAA GA





HFA16914
AGG TGC TGG TGG AAA AGA A
ACC CGT CAC CCG GAA AG





HFA16596
TAT TTG CTG TCA GCC TCT G
TGG TCC GTC CTC AGC ATC





HFA14173
CGC CCT GAT CTT TGT GGG
GGA CGA GTA CAT CGC AAT G





HFA09691
GCA CCA CCT CGT TGA AGA
GGG CAG CCA CAT CGG T





HFA02102
GAA CTT CAT TTG GAA GCG TTT
CTT GCG CCG GAA CCA G





HFA09807
GCC GCC GGT ACC GTC
AAG TAG GTG GGC GAT TCC





HFA11648
CCG TGG CCA CAG GAA CA
CAG TCC TGT TCA TGT GGA AAT





HFA06070
TTG TCT GGC TGT GTC TGT C
GAC AAT CCT TGG CCC AAT AAC





HFA14317
ATG GCA TCC CCA GTA GTC A
GTG ACT TTG ATG ATC TGG ATT C





HFA19417
GCC GAC GAA CAG CCA AA
TCG CAC ACC TCG GGA C





HFA14478
TAA CGG TGA CGG AAC CCA
CCG AAT CCT CGA TGG GTT





HFA20970
GCC AAA ATC AAG CGA ATC AG
CTT AAT TGC CTG CAC CTC C





HFA19459
ATC GGC TGC GTG AGA AC
TTC GTT GGC CAA ACT TTA CA





HFA01920
GAT TGG ACG CTT CGC TTT GA
GTT GAA ACA TTG CTG GGT GA





HFA10017
TGG CTG CCA TGC AGA AG
CCA ATT TCG GCA CGG TAG





HFA04144
AGT GGC AGC GGA GGT G
GCC CTC GCA GTG GGT T





HEA14742
AAA ATA AAT GGA GTA ACT TCC CC
TAC GCC TCG CAC TCC A





HFA17927
CGC AAT GTG GAG GTG AAG
ATC GAA ATA CGA GCC GAT C





HFA17993
TTC GAG GGC CCA CAA TGT
TGG CAA GTC GCA ACT TTA C





HFA00432
CAA AGG CAC CTG GTT TGT G
CAG TAG CGC AGA CGT TG





HFA00449
GGT ATT ACT CTG TTC CGA TTG
CTT CCA GGT TTT TGT GTA TGT C





HEA15093
GGC AAA GAT CCC AAG CAG
GTT GAA GGT GCA GCA GAA G





HFA06577
CAG CCA TCG ATT GGA ACA G
CTC CAA GTG CCA GAA CAT AAA





HFA18090
GGC CAC AAG CAT GGT CG
CCT TGC CCT TGC ACT TCT





HFA18561
TCG CCC ATG GTG CTA GA
CGA TCC ACG GTG ATT ACA G





HFA02552
CAG ACT CCT ACC TCG TTT TG
AAC ATG CGC TCC AGA TAG T





HFA10258
GCC AAG AGA CGG AGA AGA
TAC GGA TGC TGG TTG ATG T





HFA02623
CCC AGG GCC ATT TGG ATT T
TCC TTT AAG CGC TGC ATG





HFA15304
GGG CAT GCC GTC ATT ACA
CGG CGA TAT TTG CTG GTC





HFA21006
GTG GCG CAC CGG AAA G
GAT GAA CTT CAT TGT TGT TGA AA





HFA06272
TGA CGA AGC ATA TAC AAG GAT A
TGG GTT TTT CTG GTG AAA CAA





HFA06935
GTT TGC ATC GGC CAA ACC
GTG TCA GAG AAA TTC ACT AAG TA





HFA00563
AAT ACG TTT CGG TCA CGA TT
GTA TCT GTA CTT GGT AGA GTA GT





HFA15507
CCC CGA GCT GAA TCC CA
CTT CAT GCG GTT GAT GAC TA





HFA15369
CGT AAG TGC TAG TTC CTC TG
TGC CGA GCG TCC CTT T





HFA16032
CCC ACG GAG CTG TTC TTT
AAA CGA CTA CCC AGG ACA TT





HFA15235
AGG CAT CTG CAG ATT CTC T
GAG GAA TGG GAA TGG ATG AAG





HFA00415
GTC ATG GGT CCC GGG ATG
TCG CTT GTC ACG ATT CTT T





HFA09966
CCG CCA CAA TGA TAA CCA AC
CGC GTG CGT GAA GAG T





HFA19906
ATC TGT TGA ACG CCG AGG
GGT ATC GGT GAA GTT CTT CTC





HFA15470
TTG TCG CGA CCT TCC CA
ACT TCT TGG AGC AGA TCT TG





HFA10378
CGG ACA CCG GCT ATG TG
ATG TTC TTG GCC GAG TCA A





HFA10395
TAC TCA AGG ATC GCG ATA TC
GGC TGG GTG TGG GAG TG





HFA20930
GCA GGA CGT TCG GAA TAT C
TCC CAT TAC AGA CTT TTG ATT G





HEA19892
GGC GGC ACA TGT GCA TG
GCC GCT GCC CAT ATA CTT





HFA10420
TGT GGC TGT CGC TTA TCT T
AAA AAT ATA CAG CCG TTT CCT T





HEA19909
ACC CAG CTA AAT CCT ACA ATG
ACT CCA GAT GCT GGG TCA





HFA04488
TTG ACG GAT TGC CAC ATC T
GCC TCC GCG TCC AAG T





HFA15673
TGG GCT CGG CAG AGA TA
CAA GTA GAG GAG CCC GAT





HFA16036
TCT TTG TCA TCA AAT CGT ACT C
CAT CGG GCC CAT GCA TT





HFA10635
TTG AAC ATC GTG GCT TCT TT
CCT CGC AAA CTC GAT GC





HFA16145
CAA CAA CAT GCT GGG CTT C
CGA AGT TCG AGC CGA CA





HFA20054
GAG CGG GCG ATC ATC TT
CTC GGC GGC GAT CAC





HFA09675
GAT GAG AAG GAC GAG AAG AG
CTT GAT GCG GCA ATG GAC





HFA20148
ATA GGT TCA ACA CGA TCC CC
GAA GGC TGG TGT TAG TTT TG





HFA11946
ACT TGC GTG GAG GAA CTA A
ATG CGT AGA GTT CTT CGG T





HFA20230
AGC TCG AGG ACA ATC CAC
GGC TGA CTT TCA CAG TAG AC





HFA09995
CGT ACG ATG ATG CAC TGG
GAA CGG GCA GAA TGG TTG





HFA16617
GGC AGT GGG AGC TCT GA
CTC GGG TCC GGT GAA CT





HFA19583
CGT CTG CGC AGT GAT CC
TGG GCT CCG ATG GAT AGA





HFA08714
AGC GAC GAG GAA GAT GTG
TGA CAA ATG TGG CCT CTG G





HFA20983
TTG GAA AAT CGA GAG GAT TTA A
CAC ATT TTT CGA ATT CAA TTG TC





HFA04096
CGT CTA ATG AGG CAA AGA AAC
CCG TTT TTG CCA CTT TAA CC





HFA01091
TCG TGA TGG TGT TGG TGA C
TCC ACT GAA AGT GCT TTG GT





HFA11427
GGG CGA ATG CAC GGA AT
TGG CAT ACC TCG AAT AAC TG





HFA20340
TAA TCG A CG ATC AGG A AC AG
GTG TGG CCT CGG AGG TG





HFA00357
CGT CCC CCG GTT TTA CG
ATC AGC CAG TCT TGA ATA GTC





HFA04167
ATA AAA GGC GCC AAG GTG A
TCA CCT GCA TTC CCG TTT C





HFA07637
GAC GGG CTT CAA TTC CTA TG
GCG ACG AGG AGA GTG TG





HFA19450
TGC TGC GCA AGC GAC
CAT TTG CGT GGA AGA TGA CA





HFA16984
CAC AAA GCC GCT GAA CAG
TTC GTG GTT ACA CAC ACA GT





HFA07247
CCG CGC GAA CGA CTT
TGA TCG CTT ATC ATC GTA TAT TA





HFA15370
ACT AGT AGC AGT CAG TCC TC
GCG CCA GCG TTG CTA T





HFA20582
ACA GCA TTC GGG TGG TAA A
GCC ATC CGA AGT TGA TCG





HFA20357
AAC CAG AAC CAG AAT CAA AAT G
GTT TCC AGC GCG ATT ATT G





HFA03384
GGC TGG ATG GAG TTG TTT G
GGA CTT ATG GGC TGA TTG AAC





HFA15220
AGC GGG TGC AGG AGT TC
TTC TTA TTA CTG GCC ACA TCA T





HFA07660
CAC GTT CTG CGG TAG CC
GCT TGG GAT CGG CTA AAT C





HFA16795
TTG TGG GTA AAT TTT TAC AGA AG
CGA ATT CCC CGC AGT AGT





HFA16344
CGG ATC CGG AGC ACC C
GCG ATG GAG CTG CTG G





HFA08683
CTT GAC GCT GAA GAA CCC
CCT GGA ATT GGA TCG ATG C





HFA00777
GGC AAC CAC TCC ACG CA
TCC TGG CCA GCC GTG T





HFA00784
AGA GCC GCC GAA ACA AC
GGC TTG GTT TCA GTA GAG G





HFA02455

CAG CAG TAA AGC ACT TTC AA


CCG ATT CCG GCA TGG C






HFA20587
GAG TAC AAG CAT GTG TAC AAG
GTT CCT GGT GGA GGT AGT G





HFA16870
CTT GCC CAA AAC TAC AGT TAC
CGA CTG TGG GTG GAT TGT T





HEA11298
AAG GAA AGC GCA TTT CGT
AAA TCC ATA TCC ACT TCC TCA C





HFA11098
ATC CCT CAA ATC CCA GTT CC
AAA GTG GCG CTG TGG TG


















No of
Target
Cyto-






efficient
gene
logical



dsRNA ID
siRNAsB
(Symbol)
location
SEQ ID NOs.







HFA00627
51/496
Art2
24E1
SEQ ID NOs.







266/267







HFA11324
61/489
asf1
76B9
SEQ ID NOs.







268/269







HFA04919
87/487
bin3
42A13--14
SEQ ID NOs.







270/271







HFA16914
60/496
bon
92F2--3
SEQ ID NOs.







272/273







HFA16596
81/496
Caf1
88E3
SEQ ID NOs.







274/275







HFA14173
139/494 
CG10007
87A4
SEQ ID NOs.







276/277







HFA09691
72/484
CG10077
65D3--4
SEQ ID NOs.







278/279







HFA02102
103/497 
CG10730
38B2
SEQ ID NOs.







280/281







HFA09807
63/495
CG10960
69E5--6
SEQ ID NOs.







282/283







HFA11648
51/242
CG11307
78E1
SEQ ID NOs.







284/285







HFA06070
85/459
CG11400
54A1
SEQ ID NOs.







286/287







HFA14317
28/312
CG11501
99B1
SEQ ID NOs.







288/289







HFA19417
64/486
CG11696
10C7
SEQ ID NOs.







290/291







HFA14478
78/498
CG12213
87A3
SEQ ID NOs.







292/293







HFA20970
50/114
CG12460*
hetero-
SEQ ID NOs.






chromatin
294/295







HFA19459
19/181
CG12479
12E2
SEQ ID NOs.







296/297







HFA01920
112/494 
CG13243
35D4--5
SEQ ID NOs.







298/299







HFA10017
73/391
CG13473
70F3
SEQ ID NOs.







300/301







HFA04144
19/256
CG13499
58B1
SEQ ID NOs.







302/303







HEA14742
34/497
CG14247
97D1
SEQ ID NOs.







304/305







HFA17927
52/490
CG14434
6D7
SEQ ID NOs.







306/307







HFA17993
122/475 
CG15306
9B7
SEQ ID NOs.







308/309







HFA00432
19/143
CG15418
24A2
SEQ ID NOs.







310/311







HFA00449
30/217
CG15434
24F3
SEQ ID NOs.







312/313







HEA15093
58/283
CG15555
100B9
SEQ ID NOs.







314/315







HFA06577
77/477
CG15706
52F11
SEQ ID NOs.







316/317







HFA18090
51/500
CG15784
4F10
SEQ ID NOs.







318/319







HFA18561
72/477
CG16903
2C10
SEQ ID NOs.







320/321







HFA02552
54/495
CG16975
34A7--8
SEQ ID NOs.







322/323







HFA10258
 3/155
CG17179*
U
SEQ ID NOs.







324/325







HFA02623
71/486
CG17492
37B10--11
SEQ ID NOs.







326/327







HFA15304
78/475
CG18112
99C2
SEQ ID NOs.







328/329







HFA21006
50/114
CG18160*
U
SEQ ID NOs.







330/331







HFA06272
111/489
CG30069
50E2--3
SEQ ID NOs.







332/333







HFA06935
62/463
CG30122
55E3
SEQ ID NOs.







334/335







HFA00563
69/326
CG3058
24F1
SEQ ID NOs.







336/337







HFA15507
8/197
CG31005
100B8
SEQ ID NOs.







338/339







HFA15369
34/488
CG31132
95F12--13
SEQ ID NOs.







340/341







A16032
63/495
CG31132
95F12--13
SEQ ID NOs.







342/343







HFA15235
112/488
CG31358
87A5
SEQ ID NOs.







344/345







HFA00415
28/159
CG31694
23B7--8
SEQ ID NOs.







346/347







HFA09966
68/477
CG32406
65A2--3
SEQ iD NOs.







348/349







HFA19906
39/495
CG32573
14F5
SEQ ID NOs.







350/351







HFA15470
66/500
CG3281
87A3
SEQ ID NOs.







352/353







HFA10378
70/482
CG3819
75E6
SEQ ID NOs.







354/355







HFA10395
53/484
CG4022
6B84--5
SEQ ID NOs.







356/357







HFA20930
199/540 
CG40351
U
SEQ ID NOs.







358/359







HEA19892
97/480
CG4349
11D11
SEQ ID NOs.







360/361







HFA10420
56/481
CG4446
67B2
SEQ ID NOs.







362/363







HEA19909
55/496
CG4653
15A3
SEQ ID NOs.







364/365







HFA04488
75/482
CG4781
60D10
SEQ ID NOs.







366/367







HFA15673
105/492
CG4907
94C2
SEQ ID NOs.







368/369







HFA16036
102/487
CG6422
96B17
SEQ ID NOs.







370/371







HFA10635
39/148
CG6434
77B4
SEQ ID NOs.







372/373







HFA16145
118/468 
CG6946
86F8--9
SEQ ID NOs.







374/375







HFA20054
33/452
CG7635
18A6
SEQ ID NOs.







376/377







HFA09675
56/481
CG8108
67C11--D1
SEQ ID NOs.







378/379







HFA20148
93/492
CG9086
15C5--6
SEQ ID NOs.







380/381







HFA11946
144/490 
Ckllalpha
80D1
SEQ ID NOs.







382/383







HFA20230
27/152
Ckllbeta
10E3
SEQ ID NOs.







384/385







HFA09995
37/499
comm3
71E3--4
SEQ ID NOs.







386/387







HFA16617
30/254
CtBP
87D8--9
SEQ ID NOs.







388/389







HFA19583
39/480
dome
18D13--E1
SEQ ID NOs.







390/391







HFA08714
65/476
dre4
62B7
SEQ ID NOs.







392/393







HFA20983
159/488 
elF-4B
U
SEQ ID NOs.







394/395







HFA04096
84/487
enok
60B10
SEQ ID NOs.







396/397







HFA01091
48/220
HDCC1676
30D1
SEQ ID NOs.







398/399







HFA11427
105/477 
HDC11198
77D4
SEQ ID NOs.







400/401







HFA20340
52/493
hop
10B5--6
SEQ ID NOs.







402/403







HFA00357
75/488
lpk2
21E2
SEQ ID NOs.







404/405







HFA04167
18/202
jbug
59A3
SEQ ID NOs.







406/407







HFA07637
10/228
kn
51C2--3
SEQ ID NOs.







408/409







HFA19450
38/496
l(1)G0084
18D8--11
SEQ ID NOs.







410/411







HFA16984
88/496
larp
98C3--4
SEQ ID NOs.







412/413







HFA07247
35/377
lig
44A4
SEQ ID NOs.







414/415







HFA15370
30/486
mask
95F3--5
SEQ ID NOs.







416/417







HFA20582
58/473
mst
20A1
SEQ ID NOs.







418/419







HFA20357
27/118
nonA
14B18--C1
SEQ ID NOs.







420/421







HFA03384
87/500
Nup154
32C5
SEQ ID NOs.







422/423







HFA15220
36/167
Obp93a
93C1
SEQ ID NOs.







424/425







HFA07660
60/324
par-1
56D9--11
SEQ ID NOs.







426/427







HFA16795
12/118
Pp1alpha-96A
96A5
SEQ ID NOs.







428/429







HFA16344
32/469
PP2A-B′
90E4--5
SEQ ID NOs.







430/431







HFA08683
72/495
Ptp61F
61F7--62A1
SEQ ID NOs.







432/433







HFA00777
28/244
Rab5
22E1
SEQ ID NOS.







434/435







HFA00784
98/487
Rrp1
23C3--4
SEQ ID NOs.







436/437







HFA02455
38/490
Socs36E
36E6
SEQ ID NOs.







438/439







HFA20587
31/359
sol
19F5
SEQ ID NOs.







440/441







HFA16870
64/479
Stat92E
92F1
SEQ ID NOs.







442/443







HEA11298
114/481 
Taf2
67D1
SEQ ID NOs.







444/445







HFA11098
53/319
TSG101
73D1
SEQ ID NOs.







446/447







A Complete amplicon informaion can be obtained at http://mai.dkfz.de



B Efficiency calculated based on Reynolds et al., (2004). All siRNAs with score of 6 or higher were counted as efficient.



*Annotation according to Release 2 of the Berkeley Drosophila Genome Project













TABLE 5







Human homologues of Drosophila genes with JAK/STAT phenotypes


















RefSeq




Drosophila


Identity


nucleic



Gene
BLASTP
[%]
Human Gene
RefSeq protein
acid
SEQ ID Nos





Art2
1.60E−77
44.2
protein arginine N-methyltransferase 4
NP_062828.2
NM_019854
SEQ ID NO. 1/88


asf1
3.20E−68
61.7
ASF1 anti-silencing function 1 homolog A
NP_054753.1
NM_014034
SEQ ID NO. 2/89


bin3
8.80E−49
34.3
hypothetical protein FLJ20257
NP_062552.2
NM_019606
SEQ ID NO. 3/90


bon
3.60E−45
30.5
tripartite motif-containing 33 protein
NP_056990.2
NM_015906
SEQ ID NO. 4/91


Caf1
0
91.9
retinoblastoma binding protein 4
NP_005601.1
NM_005610
SEQ ID NO. 5/92


CG10007
8.80E−50
34.5
chromosome 2 open reading frame 18
NP_060347.2
NM_017877
SEQ ID NO. 6/93


CG10077
7.00E−171
67.7
DEAD (Asp-Glu-Ala-Asp) box polypeptide 5
NP_004387.1
NM_004396
SEQ ID NO. 7/94


CG10960
3.40E−78
36.9
solute carrier family 2, (facilitated glucose
NP_055395.2
NM_014580
SEQ ID NO. 8/95





transporter) member 8


CG11696
5.10E−33
29.9
zinc finger protein 502
NP_149987.2
NM_033210
SEQ ID NO. 9/96


CG12460
1.80E−17
54.0
splicing factor proline/glutamine rich (polypyrimidine
NP_005057.1
NM_005066
SEQ ID NO. 10/97





tract binding protein associated)


CG13473
3.90E−17
34.9
thioredoxin 2 precursor
NP_036605.2
NM_012473
SEQ ID NO. 11/98


CG15306
3.30E−27
45.1
microtubule-associated protein, RP/EB family, member 1
NP_036457.1
NM_012325
SEQ ID NO. 12/99


CG15418
1.40E−10
41.1
tissue factor pathway inhibitor 2
NP_006519.1
NM_006528
SEQ ID NO. 13/100


CG15434
1.60E−17
50.6
NADH dehydrogenase (ubiquinone)
NP_002479.1
NM_002488
SEQ ID NO. 14/101





1 alpha subcomplex, 2, 8 kDa


CG15706
6.60E−20
20.0
FLJ20160 protein
NP_060164.2
NM_017694
SEQ ID NO. 15/102


CG16903
2.00E−100
63.1
cyclin L1
NP_064703.1
NM_020307
SEQ ID NO. 16/103


CG16975
4.00E−123
49.4
l(3)mbt-like 2 isoform a
NP_113676.2
NM_031488
SEQ ID NO. 17/104


CG17492
0
48.3
zinc finger, ZZ type with ankyrin repeat domain 1
NP_543151.1
NM_080875
SEQ ID NO. 18/105


CG18112
1.80E−20
27.8
chromosome 14 open reading frame 133
NP_071350.2
NM_022067
SEQ ID NO. 19/106


CG30122
7.20E−42
40.9
E1B-55 kDa-associated protein 5 isoform a
NP_008971.2
NM_007040
SEQ ID NO. 20/107


CG3058
2.60E−80
95.8
thioredoxin-like 4
XP_499552.1
XM_499552
SEQ ID NO. 21/108


CG31005
9.00E−100
52.5
trans-prenyltransferase
NP_055132.2
NM_014317
SEQ ID NO. 22/109


CG31132
0
49.9
bromo domain-containing protein disrupted in leukemia
NP_694984.2
NM_153252
SEQ ID NO. 23/110


CG31358
2.10E−51
44.2
stomatin-like 3
NP_660329.1
NM_145286
SEQ ID NO. 24/111


CG31694
2.00E−66
36.3
interferon-related developmental regulator 2
NP_006755.3
NM_006764
SEQ ID NO. 25/112


CG32406
5.50E−15
37.8
C1 domain-containing phosphatase
NP_938072.1
NM_198316
SEQ ID NO. 26/113





and tensin-like protein isoform 3


CG3281
4.00E−41
31.7
zinc finger protein 91
NP_003421.1
NM_003430
SEQ ID NO. 27/114


CG40351
2.20E−94
56.6
PREDICTED: KIAA1076 protein
XP_037523.9
XM_037523
SEQ ID NO. 28/115


CG4349
4.60E−35
45.2
ferritin, heavy polypeptide 1
NP_002023.2
NM_002032
SEQ ID NO. 29/116


CG4446
1.90E−66
47.2
pyridoxal kinase
NP_003672.1
NM_003681
SEQ ID NO. 30/117


CG4653
8.80E−23
30.7
protease, serine, 2 preproprotein
NP_002761.1
NM_002770
SEQ ID NO. 31/118


CG4781
2.00E−17
33.8
PREDICTED: similar to KIAA0644 protein
XP_379800.1
XM_379800
SEQ ID NO. 32/119


CG4907
1.10E−47
28.9
phosphatidylinositol glycan, class N
NP_036459.1
NM_012327
SEQ ID NO. 33/120


CG6422
1.30E−71
53.8
YTH domain family, member 1
NP_060268.2
NM_017798
SEQ ID NO. 34/121


CG6434
6.20E−69
71.2
retinoblastoma binding protein 5
NP_005048.2
NM_005057
SEQ ID NO. 35/122


CG6946
4.00E−39
46.2
heterogeneous nuclear ribonucleoprotein F
NP_004957
NM_004966
SEQ ID NO. 36/123


CG7635
2.90E−76
62.1
stomatin isoform a
NP_004090.4
NM_004099
SEQ ID NO. 37/124


CG9086
0
32.0
ubiquitin protein ligase E3 component n-recognin 1
NP_777576.1
NM_174916
SEQ ID NO. 38/125


CkIIalpha
4.00E−163
88.7
casein kinase II alpha 1 subunit isoform a
NP_001886.1
NM_001895
SEQ ID NO. 39/126


CkIIbeta
5.00E−107
89.2
casein kinase 2, beta polypeptide
NP_001311.3
NM_001320
SEQ ID NO. 40/127


CtBP
8.00E−152
72.4
C-terminal binding protein 2 isoform 1
NP_001320.1
NM_001329
SEQ ID NO. 41/128


dome
7.60E−15
28.2
sidekick 2
NP_061937.2
NM_019064
SEQ ID NO. 42/129


dre4
0
59.9
chromatin-specific transcription elongation
NP_009123.1
NM_007192
SEQ ID NO. 43/130





factor large subunit


eIF-4B
4.70E−32
27.2
eukaryotic translation initiation factor 4B
NP_001408.1
NM_001417
SEQ ID NO. 44/131


enok
1.80E−94
33.4
MYST histone acetyltransferase (monocytic leukemia) 3
NP_006757.1
NM_006766
SEQ ID NO. 45/132


HDC01676
2.80E−15
61.0
cholinergic receptor, nicotinic, alpha polypeptide
NP_000737.1
NM_000746
SEQ ID NO. 46/133





7 precursor


hop
1.60E−59
26.7
Janus kinase 2
NP_004963.1
NM_004972
SEQ ID NO. 47/134


Ipk2
1.80E−26
33.6
inositol polyphosphate multikinase
NP_689416.1
NM_152230
SEQ ID NO. 48/135


jbug
5.30E−45
27.6
filamin B, beta (actin binding protein 278)
NP_001448.1
NM_001457
SEQ ID NO. 49/136


kn
0
69.7
early B-cell factor
NP_076870.1
NM_024007
SEQ ID NO. 50/137


l(1)G0084
7.40E−28
31.5
PHD finger protein 10 isoform a
NP_060758.1
NM_018288
SEQ ID NO. 51/138


larp
2.00E−103
48.1
KIAA0731 protein
NP_056130.2
NM_015315
SEQ ID NO. 52/139


lig
5.50E−25
32.8
ubiquitin associated protein 2 isoform 2
NP_065918.1
NM_020867
SEQ ID NO. 53/140


mask
0
74.0
multiple ankyrin repeats, single KH-domain
NP_060217.1
NM_017747
SEQ ID NO. 54/141





protein isoform 1


mst
7.00E−52
29.7
misato
NP_060586.2
NM_018116
SEQ ID NO. 55/142


nonA
1.80E−60
40.6
splicing factor proline/glutamine rich
NP_005057.1
NM_005066
SEQ ID NO. 56/143





(polypyrimidine tract binding protein associated)


Nup154
0
32.6
nucleoporin 155 kDa isoform 1
NP_705618.1
NM_153485
SEQ ID NO. 57/144


par-1
0
54.1
MAP/microtubule affinity-regulating kinase 3
NP_002367.4
NM_002376
SEQ ID NO. 58/145


Pp1alpha-96A
8.00E−169
88.9
protein phosphatase 1, catalytic subunit, alpha isoform 1
NP_002699.1
NM_002708
SEQ ID NO. 59/146


PP2A-B′
0
78.9
delta isoform of regulatory subunit B56,
NP_006236.1
NM_006245
SEQ ID NO. 60/147





protein phosphatase 2A isoform 1


Ptp61F
5.00E−32
37.9
hypothetical protein LOC9671
NP_055468
NM_014653
SEQ ID NO. 61/148


Rab5
4.90E−85
75.0
RAB5A, member RAS oncogene family
NP_004153.2
NM_004162
SEQ ID NO. 62/149


Rrp1
6.10E−82
55.2
APEX nuclease
NP_542380.1
NM_080649
SEQ ID NO. 63/150


Socs36E
4.80E−65
68.0
suppressor of cytokine signaling 5
NP_054730.1
NM_014011
SEQ ID NO. 64/151


Stat92E
6.40E−86
41.6
signal transducer and activator of transcription 5B
NP_036580.2
NM_012448
SEQ ID NO. 65/152


Taf2
0
52.5
TBP-associated factor 2
NP_003175.1
NM_003184
SEQ ID NO. 66/153


TSG101
4.30E−98
48.7
tumor susceptibility gene 101
NP_006283.1
NM_006292
SEQ ID NO. 67/154





Shown are human homologues of Drosophila genes with a BLASTP E value of 10−10 or less.













TABLE 6





Human disease homologues of Drosophila genes with JAK/STAT phenotypes



















Drosophila






Gene
BLASTP
Human Gene
RefSeq protein





bon
3.60E−45
tripartite motif-
NP_056990.2




containing 33 protein


Caf1
9.90E−17
peroxin 7
NP_000279


CG10960
1.40E−39
erythrocyte/hepatoma
NP_006507




glucose transporter


CG11696
2.60E−25
zinc finger protein 41
NP_006051


CG17492
4.80E−23
ankyrin, brain
NP_001139


CG31132
2.70E−17
Lissencephaly-1 Gene
NP_000421


CG31132
0
bromo domain-containing protein disrupted in leukemia
NP_694984


CG31358
7.40E−38
Podocin
NP_055440


CG32573
7.80E−47
Protein Kinase C, alpha
NP_002728


CG3281
2.00E−33
zinc finger protein 41
NP_009061


CG40351
2.10E−14
Androgen Receptor-Associated Coregulator 267
NP_071900


CG4349
4.60E−35
ferritin, heavy polypeptide 1
NP_002023.2


CG4349
3.50E−35
fth
NP_002023


CG4653
6.90E−22
Protease, Serine, 1
NP_002760


CG7635
2.90E−76
stomatin isoform a
NP_004090.4


CG7635
5.70E−62
Podocin
NP_055440


CkIIalpha
1.20E−23
serine/threonine protein kinase 9
NP_003150


CtBP
4.20E−24
3-phosphogylcerate dehydrogenase; 3pgdh
NP_006614


dre4
4.60E−46
Lipase A precursor
NP_000226


HDC01676
2.80E−15
cholinergic receptor, nicotinic, alpha polypeptide 7 precursor
NP_000737.1


hop
8.40E−52
Janus kinase 3
NP_000206


jbug
5.30E−45
filamin B, beta (actin binding protein 278)
NP_001448.1


jbug
5.30E−45
filamin B, beta (actin binding protein 278)
NP_001448.1


jbug
5.30E−45
filamin B, beta (actin binding protein 278)
NP_001448.1


jbug
6.00E−102
actin-binding protein 280; abp280
NP_001447


mask
5.30E−59
ankyrin, brain
NP_001139


par-1
5.30E−39
Oncogene Akt2
NP_001617


Ptp61F
7.80E−79
Protein phosphotyrosylphosphatase 1B
NP_002818


Rab5
8.90E−23
ras-associatad protein RAB27A
NP_004571


sol
2.80E−33
calcium-activated neutral protease 3
NP_000061


Stat92E
6.40E−86
signal transducer and activator of transcription 5B
NP_036580.2


Stat92E
6.40E−86
signal transducer and activator of transcription 5B
NP_036580.2


TSG101
4.30E−98
tumor susceptibility gene 101
NP_006283.1
















RefSeq






Drosophila

Nucleic





Gene
acid
Disease
SEQ ID Nos







bon
NM_015906
Thyroid carcinoma, papillary(2)
SEQ ID NO. 4/91



Caf1
NM_000288
Refsum disease (1)
SEQ ID NO. 68/155



CG10960
NM_006516
Glucose transport defect, blood-brain barrier (1)
SEQ ID NO. 69/156



CG11696
NM_006060
Mental Retardation, X-linked nonsyndromic (1)
SEQ ID NO. 70/157



CG17492
NM_001148
Long QT syndrome 4 (1)
SEQ ID NO. 71/158



CG31132
NM_000430
Subcortical laminar heterotopia (1)
SEQ ID NO. 72/159



CG31132
NM_153252
Leukemia (3)
SEQ ID NO. 73/160



CG31358
NM_014625
Nephrotic syndrome, steroid-resistant (1)
SEQ ID NO. 74/161



CG32573
NM_002737
Pituitary Tumor, invasive (1)
SEQ ID NO. 75/162



CG3281
NM_007130
Mental Retardation, X-linked nonsyndromic (1)
SEQ ID NO. 76/163



CG40351
NM_022455
Sotos Syndrome, sporadic (1)
SEQ ID NO. 77/164



CG4349
NM_002032
Iron overload, autosomal dominant (2)
SEQ ID NO. 29/116



CG4349
NM_002032
Iron overload, autosomal dominant (1)
SEQ ID NO. 29/116



CG4653
NM_002769
Pancreatitis, hereditary (1)
SEQ ID NO. 78/165



CG7635
NM_004099
Stomatocytosis I (2)
SEQ ID NO. 37/124



CG7635
NM_014625
Nephrotic syndrome, steroid-resistant (1)
SEQ ID NO. 74/161



CkIIalpha
NM_003159
Rett Syndrome, atypical (1)
SEQ ID NO. 79/166



CtBP
NM_006623
Phosphoglycerate dehydrogenase deficiency (1)
SEQ ID NO. 80/167



dre4
NM_000235
Wolman disease (1)
SEQ ID NO. 81/168



HDC01676
NM_000746
Schizophrenia, neurophysiologic defect in (2)
SEQ ID NO. 46/133



hop
NM_000215
SCID, autosomal recessive, T-negative/B-
SEQ ID NO. 82/169





positive type (1)



jbug
NM_001457
Atelostogenesis, type I (2)
SEQ ID NO. 49/136



jbug
NM_001457
Larson syndrome (2)
SEQ ID NO. 49/136



jbug
NM_001457
Spondylocarpotarsal synostosis syndrome (2)
SEQ ID NO. 49/136



jbug
NM_001456
Frontometaphyseal dysplasia (1)
SEQ ID NO. 83/170



mask
NM_001148
Long QT syndrome 4 (1)
SEQ ID NO. 71/158



par-1
NM_001626
Diabetes mellitus, type II (1)
SEQ ID NO. 84/171



Ptp61F
NM_002827
Insulin resistance, susceptibility to (1)
SEQ ID NO. 85/172



Rab5
NM_004580
Griscelli Syndrome (1)
SEQ ID NO. 86/173



sol
NM_000070
Muscular dystrophy, limb-girdle, type 2A (1)
SEQ ID NO. 87/174



Stat92E
NM_012448
Leukemia, acute promyetoyctic,
SEQ ID NO. 65/152





STAT5B/RARA type (2)



Stat92E
NM_012448
Growth hormone insensitivity with
SEQ ID NO. 65/152





immunodeficiency (2)



TSG101
NM_006292
Breast cancer (2)
SEQ ID NO. 67/154







Shown are the relevant diseases of the human homologues with a BLASTP E value of 10−10 or less as referenced in Homophila (Chien et al., 2002) and OMIM.



(1) data sets were downloaded from Homophila Version 2.1 (update 13 Apr 2005). Chien, S., Reiter, L. T., Bier, E. and Griboskov M., Nucleic Acids Research 30: 149-151 (2002)



(2) data sets from: Online Mendelian Inheritance in Man, OMIM (TM). McKusick-Nathans Institute for Genetic Medicine, Johns Hopkins University (Baltimore, MD) and National Center for Biotechnology Information, National Library of Medicine (Bethesda, MD), 2000. World Wide Web URL: http://www.ncbi.nlm.nih.gov/omim/



(3) information from: Kalla, C., Nentwich, H., Schlotter, M., Mertens, D., Wildenberger, K., Dohner, H., Stilgenbauer, S. and Lichter, P., Genes Chromosomes Cancer 42 (2): 128-143 (2005)













SUPPLEMENTARY TABLE 7







Expected and Observed Phenotype Frequency










Expected
Observed



Phenotypes
Phenotypes













Chromosome
No Genes*
%
Pos
Neg
Pos
Neg
















X
2292
17%
11
4
16
0


2L
2444
18%
11
4
10
5


2R
2687
20%
12
5
5
7


3L
2612
19%
12
4
15
4


3R
3392
25%
16
6
15
8


4
82
1%
1
0
0
0


Unmapped




5
0





*Location according to Release 3.1 of the Berkeley Drosophila Genome Project


















TABLE 7






Gene Name:
Gene Name: Homo
Accession

SEQ ID


Ranking

D. melanogaster


sapiens

Number
Associated Disease
NOs:




















1
HDC01676
CHRNA7
NM_000746
Schizophrenia, neurophysiologic defect
46/133


2
CG4349
FTH1
NM 002032
Iron overload, autosomal dominant
29/116


3
TSG101
TSG101
NM_006292
Breast cancer
67/154


4
bon
TRIM33
NM_015906
Thyroid carcinoma, papillary
 4/_9


5
mask
MLL3
NM_021230
Myeloid leukemia
83/170


6
enok
MYST3
NM_006766
Acute myeloid leukemia
45/132


7
Caf1
RBBP4
NM_005610
Refsum disease
68/155


8
Rab5
RAB5A
NM_004162

86/173


9
CG31694
IFRD2
NM_006764
Small cell lung cancer
25/112


10
sol
CAPN3
NM_000070
Muscular dystrophy, limb-girdle, type 2A
87/174


11
CG31132
BRODL
NM_153252
Leukemia
72/159


12
CG15434
NDUFA2
NM_002488
Muscular dystrophy, limb-girdle, 1A
14/101


13
CG3819
ENDOGL1
NM_005107
Carcinomas of lung, uterus, esophagus, kidney
207


14
CG31005
TPRT
NM_014317

22/109


15
Pp1alpha-96A
PPP1CC
NM_002710

59/146


16
CG10077
DDX5
NM_004396

 7/_94


17
CG17492
LOC142678
NM_080875

71/158


18
kn
DKFZP667B0210
NM_024007

50/137


19
CG31132
C21ORF107
NM_018963

72/159


20
Pp1alpha-96A
PPP1CA
NM_002708

59/146


21
CtBP
CTBP2
NM_001329

80/167


22
PP2A-B′
PPP2R5D
NM_006245

60/147


23
Nup154
NUP155
NM_004298

57/144


24
mask
ANKHD1
NM_017747

83/170


25
Art2
HRMT1L4
NM_019854

 1/_88


26
CG18112
C14ORF133
NM_022067

19/106


27
I(1)G0084
PHF10
NM_018288

51/138






















TABLE 8








z-
STAT3
STAT1



Gene name


score
activity
activity



Drosophila

Gene Name
Accession
[Dmel-
[induction
[induction



melanogaster


Homo sapiens

Number
screen]
SOCS3]
GBP1]
Associated Disease





















HDC01676
CHRNA7
NM_000746
−2.3
0.6
1.0
Schizophrenia, neurophysiologic defect in (2)


CG4349
FTH1
NM_002032
−4.1
0.4
1.3
Iron overload, autosomal dominant (2)


TSG101
TSG101
NM_006292
3.1
2.0
1.2
Breast cancer (2)


bon
TRIM33
NM_015906
5.6
0.4
1.3
Thyroid carcinoma, papillary (2)


mask
MLL3
NM_021230
−2.3
1.2
0.5
Myeloid leukemia (6)


enok
MYST3
NM_006766
3.0
0.8
2.3
Acute myeloid leukemia (5)


Caf1
RBBP4
NM_005610
3.0
1.1
2.0
Refsum disease (1)


Rab5
RAB5A
NM_004162
2.1
2.8
1.9


CG31694
IFRD2
NM_006764
−2.8
2.2
2.4
Small cell lung cancer (4)


sol
CAPN3
NM_000070
−2.5
2.5
2.0
Muscular dystrophy, limb-girdle, type 2A (1)


CG31132
BRODL
NM_153252
−2.8
1.1
0.6
Leukemia (3)


CG15434
NDUFA2
NM_002488
−2.5
3.8
3.7
Muscular dystrophy, limb-girdle, 1A (2)


CG3819
ENDOGL1
NM_005107
−2.3
0.9
1.9
Carcinomas of lung, uterus, esophagus, kidney (7)


CG31005
TPRT
NM_014317
−2.3
0.5
0.4


Pp1alpha-96A
PPP1CC
NM_002710
3.0
0.4
2.1


CG10077
DDX5
NM_004396
2.8
0.8
3.9


CG17492
LOC142678
NM_080875
2.5
2.4
2.4


kn
DKFZP667B0210
NM_024007
−2.4
2.0
1.3


CG31132
C21ORF107
NM_018963
−2.8
0.5
0.5


Pp1alpha-96A
PPP1CA
NM_002708
3.0
0.8
3.2


CtBP
CTBP2
NM_001329
−2.9
0.5
0.8


PP2A-B′
PPP2R5D
NM_006245
2.6
1.9
1.6


Nup154
NUP155
NM_004298
2.9
1.6
2.0


mask
ANKHD1
NM_017747
−2.3
0.6
1.9


Art2
HRMT1L4
NM_019854
−2.9
0.6
2.9


CG18112
C14ORF133
NM_022067
2.1
1.2
1.7


I(1)G0084
PHF10
NM_018288
−2.1
0.5
0.7





References:


(1) data sets were downloaded from Homophila Version 2.1 (update 13 Apr 2005). Originally published: Chien, S., Reiter, L. T., Bier, E. and Griboskov M. Homophila: human disease gene cognates in Drosophila. Nucleic Acids Research 30: 149-151 (2002)


(2) data sets from: Online Mendelian Inheritance in Man, OMIM (TM). McKusick-Nathans Institute for Genetic Medicine, Johns Hopkins University (Baltimore, MD) and National Center for Biotechnology Information, National Library of Medicine (Bethesda, MD), 2000. World Wide Web URL: http://www.ncbi.nlm.nih.gov/omim/


(3) information from: Kalla, C., Nentwich, H., Schlotter, M., Mertens, D., Wildenberger, K., Dohner, H., Stilgenbauer, S. and Lichter, P. Translocation t (X; 11)(q13; q23) in B-cell chronic lymphocytic leukemia disrupts two novel genes. Genes Chromosomes Cancer 42 (2): 128-143 (2005)


(4) information from: Latif F., Duh, F. M., Bader, S., Sekido, Y., Li, H., Geil, L., Zbar, B. Minna, J. D. and Lerman, M. I. The human homolog of the rodent immediate early response genes, PC4 and TIS7, resides in the lung cancer tumor suppressor gene region on chromosome 3p21. Hum Genet 99 (3): 334-341 (1997)


(5) information from: Borrow, J., Stanton, V. P., Jr., Andresen, J. M., Becher, R., Behm, F. G., Chaganti, R. S. K., Civin, C. I., Disteche, C., Dube, I., Frischauf, A. M., Horsman, D., Mitelman, F., Volinia, S., Watmore, A. E., Housman, D. E. The translocation t(8; 16)(p11; p13) of acute myeloid leukaemia fuses a putative acetyltransferase to the CREB-binding protein. Nature Genet. 14: 33-41 (1996)


(6) information from: Ruault, M., Brun, M. E., Ventura, M., Roizes, G., De Sario, A. MLL3, a new human member of the TRX/MLL gene family, maps to 7q36, a chromosome region frequently deleted in myeloid leukaemia. Gene 284: 73-81 (2002)


(7) information from: Daigo, Y., Isomura, M., Nishiwaki, T., Tamari, M., Ishikawa, S., Kai, M., Murata, Y., Takeuchi, K., Yamane, Y., Hayashi, R., Minami, M., Fujino, M. A., Hojo, Y., Uchiyama, I., Takagi, T., Nakamura, Y. Characterization of a 1200-kb genomic segment of chromosome 3p22-p21.3. DNA Res. 6: 37-44 (1999)





Claims
  • 1. A method for identifying a compound capable of modulating the activity of the JAK/STAT pathway, comprising a contacting a compound with at least one target molecule selected from i nucleic acid molecules, comprising ii a nucleotide sequence as shown in SEQ ID NOs. 88 to 265;iii a nucleotide sequence which is complementary to a nucleotide sequence of (i.1);iv a nucleotide sequence which has an identity of at least 65% to a nucleotide sequence of (i.1) or (i.2); and/orv a nucleotide sequence which hybridizes under stringent conditions to a nucleotide sequence of (i.1), (i.2) or (i.3); andii polypeptide molecules iii encoded by the nucleic acid molecules of (i) and/oriv having the sequences as shown in SEQ ID NOs. 1-87, andb determining the degree of modulation of the at least one target molecule by the compound.
  • 2. The method according to claim 1, wherein the compound is selected from compounds capable of directly and/or indirectly inhibiting or activating the transcription or translation of a nucleic acid molecule of (i).
  • 3. The method according to claim 2, wherein the compounds capable of directly and/or indirectly inhibiting or activating the transcription or translation of a nucleic acid molecule of (i) comprise polypeptides such as proteins, enzymes, antibodies, polypeptide inhibitors, polypeptide activators, agonist, antagonists, mimetics, low molecular weight substances, antisense molecules, RNAi molecules and ribozymes.
  • 4. The method according to claim 1, wherein the compound is selected from compounds capable of directly and/or indirectly inhibiting or activating a polypeptide molecule of (ii).
  • 5. The method according to claim 4, wherein the compounds capable of directly and/or indirectly inhibiting or activating a polypeptide molecule of (ii) comprise polypeptides such as proteins, enzymes, antibodies, polypeptide inhibitors, polypeptide activators, agonist, antagonists, mimetics, oligopeptides, low molecular weight substances and cofactors.
  • 6. The method according to claim 1, wherein the compound is an antibody or fragment thereof and wherein the antibody or fragment thereof is directed against a polypeptide molecule of (ii).
  • 7. The method according to claim 1, wherein the compound is an antisense molecule and wherein the antisense molecule is directed against a nucleic acid molecule of (i).
  • 8. The method according to claim 1, wherein the compound is an RNAi molecule.
  • 9. The method according to claim 1, wherein the degree of modulation of the at least one target molecule by the compound is determined by measuring the amount and/or expression rate of the nucleic acid molecule of (i).
  • 10. The method according to claim 1, wherein the degree of modulation of the at least one target molecule by the compound is determined by measuring the amount and/or activity of the polypeptide molecule of (ii).
  • 11. The method according to claim 1, wherein the method is a molecular based assay.
  • 12. The method according to claim 1, wherein the method is a cellular assay.
  • 13. Use of at least one molecule selected from i nucleic acid molecules, comprising ii a nucleotide sequence as shown in SEQ ID NOs. 88 to 265;iii a nucleotide sequence which is complementary to a nucleotide sequence of (i.1);iv a nucleotide sequence which has an identity of at least 65% to a nucleotide sequence of (i.1) or (i.2); and/orv a nucleotide sequence which hybridizes under stringent conditions to a nucleotide sequence of (i.1), (i.2) or (i.3); andii polypeptide molecules iii encoded by the nucleic acid molecules of (i) and/oriv having the sequences as shown in SEQ ID NOs. 1-87,as a target for the modulation of the activity of the JAK/STAT pathway.
  • 14. A method for modulating the activity of the JAK/STAT pathway comprising contacting a cell with at least one molecule selected from i nucleic acid molecules, comprising ii a nucleotide sequence as shown in SEQ ID NOs. 88 to 265;iii a nucleotide sequence which is complementary to a nucleotide sequence of (i.1);iv a nucleotide sequence which has an identity of at least 65% to a nucleotide sequence of (i.1) or (i.2); and/orv a nucleotide sequence which hybridizes under stringent conditions to a nucleotide sequence of (i.1), (i.2) or (i.3);vi polypeptide molecules vii encoded by the nucleic acid molecules of (i) and/orviii having the sequences as shown in SEQ ID NOs. 1-87, andii effector molecules of (i) and/or (ii).
  • 15. The method according to claim 14, wherein the effector molecules of (i) and/or (ii) are selected from antibodies or fragments thereof which are directed against a polypeptide molecule of (ii), antisense molecules which are directed against a nucleic acid molecule of (i) and RNAi molecules.
  • 16. A pharmaceutical composition comprising as an active agent at least one molecule selected from i nucleic acid molecules, comprising ii a nucleotide sequence as shown in SEQ ID NOs. 88 to 265;iii a nucleotide sequence which is complementary to a nucleotide sequence of (i.1);iv a nucleotide sequence which has an identity of at least 65% to a nucleotide sequence of (i.1) or (i.2); and/orv a nucleotide sequence which hybridizes under stringent conditions to a nucleotide sequence of (i.1), (i.2) or (i.3);vi polypeptide molecules vii encoded by the nucleic acid molecules of (i) and/orviii having the sequences as shown in SEQ ID NOs. 1-87, andii effector molecules of (i) and/or (ii).
  • 17. The pharmaceutical composition according to claim 16, wherein the effector molecules of (i) and/or (ii) are selected from antibodies or fragments thereof which are directed against a polypeptide molecule of (ii), antisense molecules which are directed against a nucleic acid molecule of (i) and RNAi molecules.
  • 18. The pharmaceutical composition according to claim 16, optionally containing pharmaceutically acceptable carriers, diluents and/or adjuvants.
  • 19. The pharmaceutical composition according to claim 16 for the diagnosis, prevention or treatment of a JAK/STAT pathway associated disorder.
  • 20. The pharmaceutical composition according to claim 16, wherein the JAK/STAT pathway associated disorder is selected from the group consisting of papillary thyroid carcinoma, Refsum disease, blood-brain barrier glucose transport defect, X-linked nonsyndromic mental retardation, long QT syndrome 4, subcortical laminar heterotopia, leukemia, steroid-resistant nephrotic syndrome, invasive pituitary tumor, sporadic Sotos syndrome, autosomal dominant iron overload, hereditary pancreatitis, stomatocytosis I, atypical Rett syndrome, phosphoglycerate dehydrogenase deficiency, Wolman disease, neurophysiologic defect in schizophrenia, autosomal recessive SCID (T-negative/B-positive type), atelostogenesis (type I), Larson syndrome, spondylocarpotarsal synostosis syndrome, frontometaphyseal dysplasia, diabetes mellitus (type II), susceptibility to insulin resistance, Griscelli Syndrome, limb-girdle muscular dystrophy (type 2A), growth hormone insensitivity with immunodeficiency and breast cancer.
  • 21. A method for the diagnosis, prevention or treatment of a JAK/STAT pathway associated disorder comprising administering nucleic acid molecules, comprising ii a nucleotide sequence as shown in SEQ ID NOs. 88 to 265;iii a nucleotide sequence which is complementary to a nucleotide sequence of (i.1);iv a nucleotide sequence which has an identity of at least 65% to a nucleotide sequence of (i.1) or (i.2); and/orv a nucleotide sequence which hybridizes under stringent conditions to a nucleotide sequence of (i.1), (i.2) or (i.3);vi polypeptide molecules vii encoded by the nucleic acid molecules of (i) and/orviii having the sequences as shown in SEQ ID NOs. 1-87, orii effector molecules of (i) and/or (ii).
  • 22. A method according to claim 21, wherein the effector molecules of (i) and/or (ii) are selected from antibodies or fragments thereof which are directed against a polypeptide molecule of (ii), antisense molecules which are directed against a nucleic acid molecule of (i) and RNAi molecules.
  • 23. Use according to claim 21, wherein the JAK/STAT pathway associated disorder is selected from the group consisting of papillary thyroid carcinoma, Refsum disease, blood-brain barrier glucose transport defect, X-linked nonsyndromic mental retardation, long QT syndrome 4, subcortical laminar heterotopia, leukemia, steroid-resistant nephrotic syndrome, invasive pituitary tumor, sporadic Sotos syndrome, autosomal dominant iron overload, hereditary pancreatitis, stomatocytosis I, atypical Rett syndrome, phosphoglycerate dehydrogenase deficiency, Wolman disease, neurophysiologic defect in schizophrenia, autosomal recessive SCID (T-negative/B-positive type), atelostogenesis (type I), Larson syndrome, spondylocarpotarsal synostosis syndrome, frontometaphyseal dysplasia, diabetes mellitus (type II), susceptibility to insulin resistance, Griscelli Syndrome, limb-girdle muscular dystrophy (type 2A), growth hormone insensitivity with immunodeficiency and breast cancer.
Priority Claims (1)
Number Date Country Kind
05 012 934.5 Jun 2005 EP regional
PCT Information
Filing Document Filing Date Country Kind 371c Date
PCT/EP2006/005744 6/14/2006 WO 00 12/16/2008