FB2025_02 , released April 17, 2025
Gene: Dmel\Stat92E
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General Information
Symbol
Dmel\Stat92E
Species
D. melanogaster
Name
Signal-transducer and activator of transcription protein at 92E
Annotation Symbol
CG4257
Feature Type
FlyBase ID
FBgn0016917
Gene Model Status
Stock Availability
Gene Summary
Signal-transducer and activator of transcription protein at 92E (Stat92E) encodes a transcription factor that shuttles between the cytosol and nucleus and functions in the JAK/STAT pathway. Its roles include proliferation, growth control, organismal metabolism, cell competition, stem cell self-renewal, immunity and developmental patterning. [Date last reviewed: 2019-03-14] (FlyBase Gene Snapshot)
Also Known As

STAT, marelle, mrl, D-STAT, Dstat

Key Links
Genomic Location
Cytogenetic map
Sequence location
Recombination map
3-69
RefSeq locus
NT_033777 REGION:20535323..20552311
Sequence
Genomic Maps
Other Genome Views
The following external sites may use different assemblies or annotations than FlyBase.
Function
Gene Ontology (GO) Annotations (53 terms)
Molecular Function (8 terms)
Terms Based on Experimental Evidence (5 terms)
CV Term
Evidence
References
inferred from physical interaction with UniProtKB:M9NE35
inferred from physical interaction with UniProtKB:Q9VWE0
inferred from direct assay
inferred from genetic interaction with FLYBASE:hop; FB:FBgn0004864
inferred from mutant phenotype with FLYBASE:p115; FB:FBgn0040087
inferred from direct assay
inferred from physical interaction with FLYBASE:Cdk2; FB:FBgn0004107
inferred from physical interaction with FLYBASE:Cdk4; FB:FBgn0016131
inferred from physical interaction with UniProtKB:A1Z7P5
Terms Based on Predictions or Assertions (4 terms)
CV Term
Evidence
References
enables DNA binding
inferred from sequence or structural similarity with UniProtKB:P42226
inferred from sequence or structural similarity with UniProtKB:P42229
inferred from electronic annotation with InterPro:IPR013801
Biological Process (41 terms)
Terms Based on Experimental Evidence (37 terms)
CV Term
Evidence
References
inferred from direct assay
inferred from mutant phenotype
inferred from expression pattern
inferred from direct assay
inferred from mutant phenotype
involved_in defense response
inferred from direct assay
inferred from mutant phenotype
inferred from mutant phenotype
inferred from mutant phenotype
inferred from mutant phenotype
inferred from mutant phenotype
inferred from genetic interaction with FLYBASE:bip1; FB:FBgn0026263
inferred from mutant phenotype
inferred from mutant phenotype
involved_in long-term memory
inferred from mutant phenotype
inferred from mutant phenotype
inferred from mutant phenotype
inferred from mutant phenotype
inferred from genetic interaction with FLYBASE:Rel; FB:FBgn0014018
inferred from mutant phenotype
involved_in oogenesis
inferred from mutant phenotype
inferred from mutant phenotype
inferred from mutant phenotype
inferred from mutant phenotype
involved_in stem cell division
inferred from mutant phenotype
inferred from mutant phenotype
inferred from mutant phenotype
inferred from mutant phenotype
involved_in wound healing
inferred from expression pattern
Terms Based on Predictions or Assertions (6 terms)
CV Term
Evidence
References
Cellular Component (4 terms)
Terms Based on Experimental Evidence (3 terms)
CV Term
Evidence
References
Terms Based on Predictions or Assertions (2 terms)
CV Term
Evidence
References
is_active_in cytoplasm
inferred from biological aspect of ancestor with PANTHER:PTN000210448
is_active_in nucleus
inferred from biological aspect of ancestor with PANTHER:PTN000210448
Protein Family (UniProt)
Belongs to the transcription factor STAT family. (Q24151)
Summaries
Gene Snapshot
Signal-transducer and activator of transcription protein at 92E (Stat92E) encodes a transcription factor that shuttles between the cytosol and nucleus and functions in the JAK/STAT pathway. Its roles include proliferation, growth control, organismal metabolism, cell competition, stem cell self-renewal, immunity and developmental patterning. [Date last reviewed: 2019-03-14]
Gene Group (FlyBase)
UNCLASSIFIED DNA BINDING DOMAIN TRANSCRIPTION FACTORS -
This group comprises DNA-binding transcription factors that do not classify under other domain-based transcription factor groups in FlyBase.
JAK-STAT Signaling Pathway Core Components -
The JAK-STAT signaling pathway is initiated by the binding of an extracellular ligand to a cell surface receptor leading to receptor dimerization and the intracellular activation of a Janus kinase (JAK) family member. JAK phosphorylates cytoplasmic STAT family members which dimerize, translocate into the nucleus and regulate target gene expression. In Drosophila, the core pathway is limited to three ligands (the Unpaired family of cytokines), a single receptor (dome), JAK kinase (hop) and STAT (Stat92E). (Adapted from FBrf0225259).
Positive Regulators of JAK-STAT Signaling Pathway -
Positive regulators of JAK-STAT signaling up-regulate the pathway, enhancing transcriptional control by Stat92E.
Protein Function (UniProtKB)
Might play a role in signal transduction and activation of transcription. Plays an important role in the segmental pattern formation in the early embryo by activating specific stripes of pair rule gene expression in early development as part of the Janus kinase-STAT pathway (PubMed:8608595). Might play a role in male germline stem cell maintenance (PubMed:34644293).
(UniProt, Q24151)
Summary (Interactive Fly)

transcription factor - cytoplasmic signal transducing protein - regulates the even-skipped stripe 3 promoter and the pair rule gene runt - central to the establishment of planar polarity during Drosophila eye development

Gene Model and Products
Number of Transcripts
11
Number of Unique Polypeptides
7

Please see the JBrowse view of Dmel\Stat92E for information on other features

To submit a correction to a gene model please use the Contact FlyBase form

Protein Domains (via Pfam)
Isoform displayed:
Pfam protein domains
InterPro name
classification
start
end
Protein Domains (via SMART)
Isoform displayed:
SMART protein domains
InterPro name
classification
start
end
Structure
Protein 3D structure   (Predicted by AlphaFold)   (AlphaFold entry Q24151)

If you don't see a structure in the viewer, refresh your browser.
Model Confidence:
  • Very high (pLDDT > 90)
  • Confident (90 > pLDDT > 70)
  • Low (70 > pLDDT > 50)
  • Very low (pLDDT < 50)

AlphaFold produces a per-residue confidence score (pLDDT) between 0 and 100. Some regions with low pLDDT may be unstructured in isolation.

Experimentally Determined Structures
Crossreferences
Comments on Gene Model

Annotated transcripts do not represent all possible combinations of alternative exons and/or alternative promoters.

Low-frequency RNA-Seq exon junction(s) not annotated.

Gene model reviewed during 5.47

Transcript Data
Annotated Transcripts
Name
FlyBase ID
RefSeq ID
Length (nt)
Assoc. CDS (aa)
FBtr0089484
3595
628
FBtr0089485
4008
754
FBtr0089487
3852
754
FBtr0089486
3873
761
FBtr0100457
3616
635
FBtr0334581
3830
635
FBtr0334582
3879
679
FBtr0334583
4023
811
FBtr0334584
4200
818
FBtr0334585
2917
679
FBtr0334586
4029
761
Additional Transcript Data and Comments
Reported size (kB)

4.0 (northern blot)

4 (northern blot)

Comments
External Data
Crossreferences
Polypeptide Data
Annotated Polypeptides
Name
FlyBase ID
Predicted MW (kDa)
Length (aa)
Theoretical pI
UniProt
RefSeq ID
GenBank
FBpp0088487
71.2
628
6.20
FBpp0088488
85.6
754
6.24
FBpp0088978
85.6
754
6.24
FBpp0088489
86.4
761
6.05
Polypeptides with Identical Sequences

The group(s) of polypeptides indicated below share identical sequence to each other.

754 aa isoforms: Stat92E-PC, Stat92E-PE
761 aa isoforms: Stat92E-PF, Stat92E-PM
635 aa isoforms: Stat92E-PG, Stat92E-PH
679 aa isoforms: Stat92E-PI, Stat92E-PL
Additional Polypeptide Data and Comments
Reported size (kDa)

761 (aa); 86 (kD predicted)

Comments
External Data
Subunit Structure (UniProtKB)

Forms a homodimer or a heterodimer with a related family member.

(UniProt, Q24151)
Post Translational Modification

Tyrosine phosphorylated by hopscotch. Phosphorylation is required for DNA-binding activity and dimerization.

(UniProt, Q24151)
Linkouts
Sequences Consistent with the Gene Model
Nucleotide / Polypeptide Records
 
Mapped Features

Click to get a list of regulatory features (enhancers, TFBS, etc.) and gene disruptions (point mutations, indels, etc.) within or overlapping Dmel\Stat92E using the Feature Mapper tool.

External Data
Crossreferences
Linkouts
Expression Data
Testis-specificity index

The testis specificity index was calculated from modENCODE tissue expression data by Vedelek et al., 2018 to indicate the degree of testis enrichment compared to other tissues. Scores range from -2.52 (underrepresented) to 5.2 (very high testis bias).

-1.34

Transcript Expression
in situ
Stage
Tissue/Position (including subcellular localization)
Reference
organism | ubiquitous

Comment: reference states 1 hr AEL

organism

Comment: maternally deposited

antennal anlage

Comment: reported as procephalic ectoderm anlage

central brain anlage

Comment: reported as procephalic ectoderm anlage

dorsal head epidermis anlage

Comment: reported as procephalic ectoderm anlage

visual anlage

Comment: reported as procephalic ectoderm anlage

antennal primordium

Comment: reported as procephalic ectoderm primordium

central brain primordium

Comment: reported as procephalic ectoderm primordium

visual primordium

Comment: reported as procephalic ectoderm primordium

dorsal head epidermis primordium

Comment: reported as procephalic ectoderm primordium

lateral head epidermis primordium

Comment: reported as procephalic ectoderm primordium

ventral head epidermis primordium

Comment: reported as procephalic ectoderm primordium

dorsal epidermis primordium

Comment: reported as dorsal epidermis anlage

northern blot
Stage
Tissue/Position (including subcellular localization)
Reference
Additional Descriptive Data

Expression pattern inferred from unspecified enhancer trap line.

Stat92E transcripts are detected at all stages on northern blots. They are detected at high and uniformly distributed levels by in situ hybridization in early syncytial and cellularizing embryos. During germ band extension they are detected in a striped pattern within every segment.

Stat92E transcripts are detected at all stages of development by northern blot. Stat92E transcripts are detected in very early embryos in a uniform pattern by in situ hybridization. At the blastoderm stage, expression is seen in seven stripes in a broad central domain as well as in clusters of cells in anterior and posterior terminal segments. At germ band extension, 14 stripes are seen, restricted to mesodermal tissue. After germ band retraction, expression is observed mainly in the foregut, the hingut and in gonadal precursor cells.

Marker for
 
Subcellular Localization
CV Term
Polypeptide Expression
immunolocalization
Stage
Tissue/Position (including subcellular localization)
Reference
mass spectroscopy
Stage
Tissue/Position (including subcellular localization)
Reference
Additional Descriptive Data

At the third instar larval stage, Stat92E protein accumulates in the nucleus in the wing hinge and the anterior border of the notum. It accumulates in the cytoplasm in the wing pouch and most of the notum.

The Stat92E expression in border follicle cell clusters overlaps Socs36E expression at stage S8.

Stat92E is expressed widely in the adult brain. It localizes to Kenyon cell bodies and is also present in subdomains of the calyx. It is present in mushroom body cell bodies.

Stat92E protein is expressed the larval outer optic anlage from the second through late third larval instar. Expression is higher in in the lateral neuroepithelium, decreasing in medial cells.

Stat92E protein is expressed in ISCs and enteroblasts.

In testes, Stat92E protein is detected at higher levels in germline stem cells than in cyst progenitor cells.

Stat92E is found in male germline cells from embryonic stage 13. By mid stage 17, it is expressed in a subset of male germline cells localized to the anterior of the gonad. In early first instar larvae, phosphorylated Stat92E is restricted to hub-proximal germ cells.

Stat92E is upregulated specifically in male, but not female, germ cells at the time of gonad formation. The activated (phosphorylated) form of Stat92E is also only detected in male germ cells. Stat92E expression in male germ cells in dependent on their association with the somatic gonad.

The Stat92E protein accumulates in the follicle cells of the polar regions and decreases toward the main body cells in the middle of the egg chamber in a pattern complementary to mirr expression.

Marker for
 
Subcellular Localization
CV Term
Evidence
References
Expression Deduced from Reporters
High-Throughput Expression Data
Associated Tools

JBrowse - Visual display of RNA-Seq signals

View Dmel\Stat92E in JBrowse
RNA-Seq by Region - Search RNA-Seq expression levels by exon or genomic region
Reference
See Gelbart and Emmert, 2013 for analysis details and data files for all genes.
Developmental Proteome: Life Cycle
Developmental Proteome: Embryogenesis
External Data and Images
Linkouts
BDGP expression data - Patterns of gene expression in Drosophila embryogenesis
DRscDB - A single-cell RNA-seq resource for data mining and data comparison across species
EMBL-EBI Single Cell Expression Atlas - Single cell expression across species
FlyAtlas - Adult expression by tissue, using Affymetrix Dros2 array
FlyAtlas2 - A Drosophila melanogaster expression atlas with RNA-Seq, miRNA-Seq and sex-specific data
Fly-FISH - A database of Drosophila embryo and larvae mRNA localization patterns
Flygut - An atlas of the Drosophila adult midgut
Images
Alleles, Insertions, Transgenic Constructs, and Aberrations
Classical and Insertion Alleles ( 30 )
For All Classical and Insertion Alleles Show
 
Other relevant insertions
Transgenic Constructs ( 51 )
For All Alleles Carried on Transgenic Constructs Show
Transgenic constructs containing/affecting coding region of Stat92E
Transgenic constructs containing regulatory region of Stat92E
Aberrations (Deficiencies and Duplications) ( 4 )
Variants
Variant Molecular Consequences
Alleles Representing Disease-Implicated Variants
Phenotypes
For more details about a specific phenotype click on the relevant allele symbol.
Lethality
Allele
Sterility
Allele
Other Phenotypes
Allele
Phenotype manifest in
Allele
cuticle & adult external head | somatic clone
hindgut & nucleus
Orthologs
Human Orthologs (via DIOPT v9.1)
Species\Gene Symbol
Score
Best Score
Best Reverse Score
Alignment
Complementation?
Transgene?
Homo sapiens (Human) (7)
12 of 14
Yes
Yes
12 of 14
Yes
Yes
1  
10 of 14
No
Yes
5 of 14
No
Yes
1  
5 of 14
No
Yes
5 of 14
No
Yes
1  
5 of 14
No
Yes
1  
Model Organism Orthologs (via DIOPT v9.1)
Species\Gene Symbol
Score
Best Score
Best Reverse Score
Alignment
Complementation?
Transgene?
Rattus norvegicus (Norway rat) (7)
12 of 14
Yes
Yes
12 of 14
Yes
Yes
10 of 14
No
Yes
5 of 14
No
Yes
5 of 14
No
Yes
5 of 14
No
Yes
5 of 14
No
Yes
Mus musculus (laboratory mouse) (7)
12 of 14
Yes
Yes
12 of 14
Yes
Yes
10 of 14
No
Yes
5 of 14
No
Yes
5 of 14
No
Yes
4 of 14
No
Yes
4 of 14
No
Yes
Xenopus tropicalis (Western clawed frog) (8)
8 of 13
Yes
Yes
6 of 13
No
Yes
3 of 13
No
Yes
3 of 13
No
Yes
2 of 13
No
Yes
2 of 13
No
Yes
1 of 13
No
Yes
1 of 13
No
Yes
Danio rerio (Zebrafish) (8)
12 of 14
Yes
Yes
12 of 14
Yes
Yes
10 of 14
No
Yes
4 of 14
No
Yes
4 of 14
No
Yes
4 of 14
No
Yes
4 of 14
No
Yes
4 of 14
No
Yes
Caenorhabditis elegans (Nematode, roundworm) (2)
11 of 14
Yes
Yes
3 of 14
No
Yes
Anopheles gambiae (African malaria mosquito) (2)
10 of 12
Yes
Yes
10 of 12
Yes
Yes
Arabidopsis thaliana (thale-cress) (2)
1 of 13
Yes
Yes
1 of 13
Yes
Yes
Saccharomyces cerevisiae (Brewer's yeast) (0)
Schizosaccharomyces pombe (Fission yeast) (0)
Escherichia coli (enterobacterium) (0)
Other Organism Orthologs (via OrthoDB)
Data provided directly from OrthoDB:Stat92E. Refer to their site for version information.
Paralogs
Paralogs (via DIOPT v9.1)
Human Disease Associations
FlyBase Human Disease Model Reports
    Disease Ontology (DO) Annotations
    Models Based on Experimental Evidence ( 1 )
    Allele
    Disease
    Evidence
    References
    Potential Models Based on Orthology ( 8 )
    Modifiers Based on Experimental Evidence ( 14 )
    Allele
    Disease
    Interaction
    References
    Disease Associations of Human Orthologs (via DIOPT v9.1 and OMIM)
    Note that ortholog calls supported by only 1 or 2 algorithms (DIOPT score < 3) are not shown.
    Homo sapiens (Human)
    Gene name
    Score
    OMIM
    OMIM Phenotype
    DO term
    Complementation?
    Transgene?
    Functional Complementation Data
    Functional complementation data is computed by FlyBase using a combination of the orthology data obtained from DIOPT and OrthoDB and the allele-level genetic interaction data curated from the literature.
    Interactions
    Summary of Physical Interactions
    Interaction Browsers

    Please see the Physical Interaction reports below for full details
    RNA-RNA
    Physical Interaction
    Assay
    References
    protein-protein
    Physical Interaction
    Assay
    References
    Summary of Genetic Interactions
    Interaction Browsers

    Please look at the allele data for full details of the genetic interactions
    Starting gene(s)
    Interaction type
    Interacting gene(s)
    Reference
    Starting gene(s)
    Interaction type
    Interacting gene(s)
    Reference
    External Data
    Subunit Structure (UniProtKB)
    Forms a homodimer or a heterodimer with a related family member.
    (UniProt, Q24151 )
    Linkouts
    BioGRID - A database of protein and genetic interactions.
    DroID - A comprehensive database of gene and protein interactions.
    MIST (genetic) - An integrated Molecular Interaction Database
    MIST (protein-protein) - An integrated Molecular Interaction Database
    Pathways
    Class of Gene
    Genomic Location and Detailed Mapping Data
    Chromosome (arm)
    3R
    Recombination map
    3-69
    Cytogenetic map
    Sequence location
    FlyBase Computed Cytological Location
    Cytogenetic map
    Evidence for location
    92F1-92F1
    Limits computationally determined from genome sequence between P{PZ}l(3)1058510585 and P{EP}SyndEP409
    Experimentally Determined Cytological Location
    Cytogenetic map
    Notes
    References
    92E2-92E2
    92E2-92E4
    (determined by in situ hybridisation)
    92E-92E
    (determined by in situ hybridisation)
    92E2-92E2
    (determined by in situ hybridisation)
    Experimentally Determined Recombination Data
    Left of (cM)
    Right of (cM)
    Notes
    Stocks and Reagents
    Stocks (35)
    Genomic Clones (24)
    cDNA Clones (197)
     

    Please Note This section lists cDNAs and ESTs that fall within the genomic extent of the gene model, which may include cDNAs and ESTs of genes within introns, or of overlapping genes. Please see JBrowse for alignment of the cDNAs and ESTs to the gene model.

    cDNA clones, fully sequenced
    BDGP DGC clones
    Other clones
    Drosophila Genomics Resource Center cDNA clones

    For each fully sequenced cDNA the DGRC maintains various forms of the cDNA (e.g tagged or untagged) in several different host vectors for subsequent cloning and expression in Drosophila and Drosophila cell lines.

    cDNA Clones, End Sequenced (ESTs)
    Other clones
    RNAi and Array Information
    Linkouts
    DRSC - Results frm RNAi screens
    Antibody Information
    Laboratory Generated Antibodies
    Commercially Available Antibodies
     
    Cell Line Information
    Publicly Available Cell Lines
     
      Other Stable Cell Lines
       
      Other Comments

      DNA-protein interactions: genome-wide binding profile assayed for Stat92E protein in 0-12 hr embryos; see mE1_TFBS_Stat92E collection report.

      dsRNA made from templates generated with primers directed against this gene.

      dsRNA made from templates generated with primers directed against this gene used in a cell-based RNAi assay to identify components or modifiers of the JAK/STAT pathway.

      Treatment of S2-derived S2-NP cells with dsRNA made from templates generated with primers directed against Stat92E results in a 12-24-fold decrease in JAK/STAT activity.

      dsRNA made from templates generated with primers directed against this gene tested in RNAi screen for effects on Kc167 and S2R+ cell morphology.

      Stat92E is involved in proper differentiation and morphogenesis of multiple tissues.

      Stat92E acts downstream of the Dl/N pathway to induce the differentiation of the interfollicle (or stalk) cells. Stalks cause the polarization of adjacent anterior egg chambers by inducing shape change and preferential adhesion that positions the oocyte at the posterior.

      Stat92E function is necessary for the proper differentiation of the polar follicle cells and the interfollicle cells. The failure of these cell to differentiate correctly leads to fused egg chambers and results in female sterility. Stat92E is part of an intracellular Jak-Stat signalling pathway and is activated by the hop Jak kinase. Partial loss of hop gene product activity gives a phenotype similar to that of Stat92E mutants, supporting the idea that the Jak-Stat pathway is involved in regulation of oogenesis.

      Stat92E is required autonomously in the germ cells for germline stem cell maintenance.

      Stat92E is required for border cell migration.

      Stat92E is required in the male germline for maintenance of germ line stem cell renewal.

      Dominant hop mutations cause hop to be a hyperactive kinase that can cause hyperactivation of the hop Stat92E pathway.

      Stat92E acts downstream of the hop kinase and encodes a protein similar to the mammalian Stat proteins. hop may activate Stat92E to regulate transcription of target genes such as eve. Stat92E is epistatic to hop.

      The autosomal "FLP-DFS" technique (using the P{ovoD1-18} P{FRT(whs)} P{hsFLP} chromosomes) has been used to identify the specific maternal effect phenotype for the zygotic lethal mutation.

      Stat92E has been identified both by molecular and genetic strategies. A mutation in Stat92E has been identified by suppression of a hop mutant phenotype. Two binding sites for Stat92E protein have been identified in the eve stripe 3 enhancer region.

      An allele of Stat92E was identified in a screen for second site suppressors of hopTum. Stat92E is involved in wing vein and trachea development, and segmentation in embryos and adults.

      A unique binding activity that resembles the Stat-like activity of the mammalian system is identified in Drosophila and is encoded by pp100 and pp150 polypeptides. Vanadate/hydrogen peroxide treatment of Schneider cells induces a specific GRR binding complex whose formation is dependent upon Tyr phosphorylation.

      Relationship to Other Genes
      Source for database merge of
      Additional comments
      Nomenclature History
      Source for database identify of

      Source for identity of: Stat92E CG4257

      Nomenclature comments
      Etymology

      "marelle" is French for "hopscotch".

      Synonyms and Secondary IDs (49)
      Reported As
      Symbol Synonym
      D-stat/stat92E
      STAT
      (Mpamhanga and Kounatidis, 2024, Tafesh-Edwards and Eleftherianos, 2023, Yasugi and Sato, 2022, Al Hayek et al., 2021, Herrera and Bach, 2021, Lam Wong and Verheyen, 2021, Lim et al., 2021, Al Outa et al., 2020, Berez et al., 2020, Chen and Desplan, 2020, Kwon et al., 2020, Peercy and Starz-Gaiano, 2020, Rodriguez-Fernandez et al., 2020, Angulo et al., 2019, Lin et al., 2019, Loyola et al., 2019, Panettieri et al., 2019, Zhang et al., 2019, Kang et al., 2018, Prange et al., 2018, Ferguson and Martinez-Agosto, 2017, Mussabekova et al., 2017, Zhao and Karpac, 2017, Deshpande et al., 2016, Kotov et al., 2016, Kwon et al., 2016, Niwa and Niwa, 2016, Saadin and Starz-Gaiano, 2016, Verghese and Su, 2016, Yadav et al., 2016, Dorn and Dorn, 2015, Qian et al., 2015, Ren et al., 2015, Sun et al., 2015, Thomas et al., 2015, Zhou et al., 2015, Mannervik, 2014, Mondal et al., 2014, Tipping and Perrimon, 2014, Zhou et al., 2014, Ferrandon, 2013, Gonzalez, 2013, Huang et al., 2013, Kingsolver et al., 2013, Monahan and Starz-Gaiano, 2013, Woodfield et al., 2013, Zhang et al., 2013, Zhou et al., 2013, Hayashi et al., 2012, Jemc et al., 2012, Osman et al., 2012, Vanha-Aho et al., 2012, Gonsalves et al., 2011, Tsurumi et al., 2011, Yan et al., 2011, Yoon et al., 2011, Zheng et al., 2011, Buchon et al., 2010, Colodner and Feany, 2010, Buchon et al., 2009, Gutierrez-Aviño et al., 2009, Starz-Gaiano et al., 2009, Wang and Huang, 2009, Ayala and Bach, 2008, Baudot et al., 2008, Cinnamon et al., 2008, Copf and Preat, 2008, Han and Harrison, 2008, Issigonis et al., 2008, McConnell et al., 2008, McDonald et al., 2008, Pastor-Pareja et al., 2008, Starz-Gaiano et al., 2008, Wawersik et al., 2008, Yasugi et al., 2008, Devergne et al., 2007, Eleftherianos et al., 2007, Kimble and Page, 2007, Kronhamn et al., 2007, Krzemien et al., 2007, Rivas et al., 2007, Shi et al., 2007, Sotillos and Castelli-Gair, 2007, Tsai et al., 2007, Bartscherer et al., 2006, Borghese et al., 2006, Castelli-Gair Hombria, 2006, DEVERGNE and NOSELLI, 2006, Montell, 2006, Sheng et al., 2006, Brawley et al., 2005, Brown et al., 2005, Dostert et al., 2005, Ip, 2005, Sheng et al., 2005, Beachy et al., 2004, Ohlstein et al., 2004, Terry et al., 2004, Wawersik et al., 2004, Agaisse et al., 2003, Feix et al., 2003, Gilbert et al., 2003, Hultmark and Ekengren, 2003, Mukherjee and Zeidler, 2003, Seyedoleslami Esfahani et al., 2003, Solnica-Krezel and Eaton, 2003, Castelli-Gair Hombria and Brown, 2002, Kisseleva et al., 2002, Lavine and Strand, 2002, Rawlings and Harrison, 2002, Rorth, 2002, Silver and Montell, 2002, Matunis and Tulina, 2001, Mushegian and Medzhitov, 2001, Wasserman and DiNardo, 2001, Khush and Lemaitre, 2000, Meister et al., 2000, Blair, 1999, Perrimon and Stern, 1999, Zeidler et al., 1999, Mathey-Prevot et al., 1998, Zeidler and Perrimon, 1998)
      STAT92E
      (Qin et al., 2025, De Groef et al., 2024, Wang et al., 2024, Zhang et al., 2024, Benoit et al., 2022, Crucianelli et al., 2022, He et al., 2022, Kharrat et al., 2022, Koranteng et al., 2022, Nayak and Mishra, 2022, Pratomo et al., 2022, Ratnaparkhi and Sudhakaran, 2022, Wu and Yan, 2022, Yu et al., 2022, Chatterjee and Perrimon, 2021, Dillard et al., 2021, Dong et al., 2021, Jay et al., 2021, Morin-Poulard et al., 2021, Pathak and Varghese, 2021, Ramirez Moreno et al., 2021, Rosendo Machado et al., 2021, Schneider and Imler, 2021, Yu et al., 2021, Ahmed et al., 2020, Luo et al., 2020, Meyer-Nava et al., 2020, Moore et al., 2020, Palmer et al., 2020, Sun et al., 2020, Tafesh-Edwards and Eleftherianos, 2020, Warsaba et al., 2020, Bernardoni et al., 2019, Camara et al., 2019, Ho et al., 2019, Kim et al., 2019, Sreejith et al., 2019, Wang et al., 2019, Yang et al., 2019, Ahmed-de-Prado and Baonza, 2018, Fisher et al., 2018, Mehrotra and Deshpande, 2018, Yu et al., 2018, Khanna et al., 2017, Lu et al., 2017, Purice et al., 2017, Takemura and Nakato, 2017, Willoughby et al., 2017, Winfree et al., 2017, Xie et al., 2017, Bayona-Feliu et al., 2016, Musashe et al., 2016, Tamori et al., 2016, Boija and Mannervik, 2015, Freeman, 2015, Glassford et al., 2015, Grifoni et al., 2015, Housden et al., 2015, Inaba et al., 2015, Li et al., 2015, Ren et al., 2015, Tsai et al., 2015, Kux and Pitsouli, 2014, Li et al., 2014, Wang et al., 2014, Xu et al., 2014, You et al., 2014, Bausek, 2013, Buszard et al., 2013, Morin-Poulard et al., 2013, Oldefest et al., 2013, Silver-Morse and Li, 2013, Stec et al., 2013, Wang et al., 2013, Zeidler and Bausek, 2013, Zoranovic et al., 2013, Amoyel and Bach, 2012, Bier and Guichard, 2012, Igboin et al., 2012, Jemc et al., 2012, Luo and Sehgal, 2012, Panov et al., 2012, Crozatier and Vincent, 2011, Kim et al., 2011, Li et al., 2011, Rodriguez, 2011, Stec and Zeidler, 2011, Tsurumi et al., 2011, Grönholm et al., 2010, Sotillos et al., 2010, Benítez et al., 2009, Buchon et al., 2009, Gutierrez-Aviño et al., 2009, Li et al., 2009, Sheng et al., 2009, Kim et al., 2008, Nallamothu et al., 2008, Shi et al., 2008, Assa-Kunik et al., 2007, Betz et al., 2007, Sheng et al., 2007, Silver et al., 2007, Arbouzova and Zeidler, 2006, Arbouzova et al., 2006, Wang et al., 2006, Baeg et al., 2005, Gesellchen et al., 2005, Kai et al., 2005, Reynolds-Kenneally and Mlodzik, 2005, Agaisse and Perrimon, 2004, Karsten et al., 2004, Mukherjee et al., 2004, Ren et al., 2004, Starz-Gaiano and Montell, 2004, Tsai and Sun, 2004, Arbouzova et al., 2003, Chen et al., 2003, Lemaitre, 2000.12.20)
      Stat1α-like
      Stat92E
      (Balakireva et al., 2024, Brantley et al., 2024, Clémot et al., 2024, Collins et al., 2024, Eslahi et al., 2024, Ewen-Campen and Perrimon, 2024, Guo et al., 2024, Hu et al., 2024, Krejčová et al., 2024, Larnerd et al., 2024, Li et al., 2024, Parreno et al., 2024, Prud'homme, 2024, Warder et al., 2024, Zeng et al., 2024, Aromolaran et al., 2023, Burghardt et al., 2023, Chen et al., 2023, Floc'hlay et al., 2023, Heigwer et al., 2023, Huang et al., 2023, Ismail et al., 2023, Jiang et al., 2023, Khalili et al., 2023, Khan et al., 2023, Kinoshita et al., 2023, Kong et al., 2023, Lee et al., 2023, Nagai et al., 2023, Stączek et al., 2023, Zhou and Boutros, 2023, Adashev et al., 2022, Baonza et al., 2022, Bhaskar et al., 2022, Boulanger and Dura, 2022, Cammarata-Mouchtouris et al., 2022, Cao et al., 2022, Gera et al., 2022, Hao et al., 2022, Jia et al., 2022, Logeay et al., 2022, Mallart et al., 2022, Marshall and Dionne, 2022, Miozzo et al., 2022, Nefedova et al., 2022, Pavlidaki et al., 2022, Shen et al., 2022, Bonfini et al., 2021, Buhlman et al., 2021, Cattenoz et al., 2021, De Groef et al., 2021, Ding et al., 2021, Finger et al., 2021, Gan et al., 2021, Gong et al., 2021, Gruntenko et al., 2021, Järvelä-Stölting et al., 2021, Lee et al., 2021, Lourido et al., 2021, Lu et al., 2021, Mortimer et al., 2021, Pan and O'Connor, 2021, Sahu et al., 2021, Sciambra and Chtarbanova, 2021, Trevino et al., 2021, Yang et al., 2021, Yuen et al., 2021, Cho et al., 2020, Deng et al., 2020, Funk et al., 2020, Hilu-Dadia and Kurant, 2020, Huang et al., 2020, Keder et al., 2020, Kierdorf et al., 2020, Krautz et al., 2020, Kurihara et al., 2020, Lan et al., 2020, Li et al., 2020, Mahmud et al., 2020, Makhnovskii et al., 2020, Meng et al., 2020, Rust et al., 2020, Vizcaya-Molina et al., 2020, Ahlers et al., 2019, Asri et al., 2019, Bailetti et al., 2019, Banerjee et al., 2019, Chai et al., 2019, Coelho and Moreno, 2019, Engel et al., 2019, Gultekin and Steller, 2019, Hall et al., 2019, Herrera and Bach, 2019, Houtz et al., 2019, Hudry et al., 2019, Kim et al., 2019, La Marca et al., 2019, Nelson et al., 2019, Powers and Srivastava, 2019, Reedy et al., 2019, Sanchez Bosch et al., 2019, Shokri et al., 2019, Singh et al., 2019, Sinha et al., 2019, Snigdha et al., 2019, Wang et al., 2019, Wittes and Schüpbach, 2019, Xu et al., 2019, Yang et al., 2019, Yang et al., 2019, Ahmed-de-Prado et al., 2018, Gene Disruption Project members, 2018-, Green et al., 2018, Hao et al., 2018, Yu and Pan, 2018, Anderson et al., 2017, Barr et al., 2017, Feng et al., 2017, Lee et al., 2017, Pascual et al., 2017, Péan et al., 2017, Solis et al., 2017, Torres et al., 2017, Transgenic RNAi Project members, 2017-, Tsurumi et al., 2017, Atkins et al., 2016, Clandinin and Owens, 2016-, Fregoso Lomas et al., 2016, Harris et al., 2016, Hoi et al., 2016, Kwon et al., 2016, Mbodj et al., 2016, Monahan and Starz-Gaiano, 2016, Moulton and Letsou, 2016, Nagy et al., 2016, Padash Barmchi et al., 2016, Purice et al., 2016, Saadin and Starz-Gaiano, 2016, Saha et al., 2016, Shen et al., 2016, Verghese and Su, 2016, Aradska et al., 2015, Kohlmaier et al., 2015, Moreno et al., 2015, Moskalev et al., 2015, Schertel et al., 2015, Seeds et al., 2015, Sopko et al., 2015, Terhzaz et al., 2015, Van Bortle et al., 2015, Woodcock et al., 2015, Xia et al., 2015, Zhai et al., 2015, Boyle et al., 2014, Chabu and Xu, 2014, Chen et al., 2014, Doherty et al., 2014, Issman-Zecharya and Schuldiner, 2014, Jiang and Singh, 2014, Lee et al., 2014, Maimon et al., 2014, Salazar-Jaramillo et al., 2014, Slattery et al., 2014, Sopko et al., 2014, Wang et al., 2014, Aleksic et al., 2013, Bonke et al., 2013, Djiane et al., 2013, Geisbrecht et al., 2013, Gunawan et al., 2013, Guo et al., 2013, Hombría and Serras, 2013, Hombría and Sotillos, 2013, Mbodj et al., 2013, McKay and Lieb, 2013, Morillo Prado et al., 2013, Morin-Poulard et al., 2013, Radyuk et al., 2013, Ren et al., 2013, Schertel et al., 2013, Shen et al., 2013, Woodfield et al., 2013, Zhang et al., 2013, Zoranovic et al., 2013, Aranjuez et al., 2012, Grönholm et al., 2012, Kvon et al., 2012, Larson et al., 2012, Lim et al., 2012, Rajan and Perrimon, 2012, Spokony and White, 2012.5.22, Winbush et al., 2012, Wong and Jones, 2012, Abruzzi et al., 2011, Casper et al., 2011, Copf et al., 2011, Jiang et al., 2011, Johnson et al., 2011, Nègre et al., 2011, Singh et al., 2011, Takashima et al., 2011, Tsurumi et al., 2011, Weake et al., 2011, Yan et al., 2011, Aerts et al., 2010, Beebe et al., 2010, Bina et al., 2010, Ekas et al., 2010, Flaherty et al., 2010, Goto et al., 2010, Kallio et al., 2010, Lin et al., 2010, Ngo et al., 2010, Reddy et al., 2010, The modENCODE Consortium, 2010, The modENCODE Consortium, 2010, Wu et al., 2010, Zeng et al., 2010, Almudi et al., 2009, Avadhanula et al., 2009, Bertet et al., 2009, Buchon et al., 2009, Casper and Van Doren, 2009, Classen et al., 2009, Fujikawa et al., 2009, Gutierrez-Aviño et al., 2009, Hartmann et al., 2009, Hilger et al., 2009, Issigonis et al., 2009, Jiang et al., 2009, Shen et al., 2009, Wang and Huang, 2009, Christensen et al., 2008.4.15, Christensen et al., 2008.4.15, Christensen et al., 2008.4.15, Dougherty et al., 2008, Ekas et al., 2008, López-Onieva et al., 2008, Ni et al., 2008, Rivas et al., 2008, Takashima et al., 2008, Talamillo et al., 2008, Yasugi et al., 2008, Avila and Erickson, 2007, Ayala-Camargo et al., 2007, Ayala et al., 2007, Baeg et al., 2007, Bastock and Strutt, 2007, Beckstead et al., 2007, Beltran et al., 2007, Bianco et al., 2007, Brawley et al., 2007, Curtis et al., 2007, Kim et al., 2007, Minidorff et al., 2007, Minidorff et al., 2007, Nurminsky, 2007, Singh et al., 2007, Stahl et al., 2007, Yasugi et al., 2007, Egli et al., 2006, Hollien and Weissman, 2006, Keller, 2006, Molnar et al., 2006, Oishi et al., 2006, Payne and Braun, 2006, Shi et al., 2006, Decotto and Spradling, 2005, Moberg et al., 2005, Sage et al., 2005, Vaccari and Bilder, 2005, Wawersik et al., 2005, Wertheim et al., 2005, Yamashita et al., 2005, Rawlings et al., 2004, Wang et al., 2004, Kimbrell and Beutler, 2001)
      dSTAT92E/marelle
      l(3)j6C8
      stat92E
      (Vidaurre et al., 2024, Meng et al., 2023, Urban et al., 2022, Maurya et al., 2021, Dorogova et al., 2020, Harris et al., 2020, Wang and Spradling, 2020, Gultekin and Steller, 2019, Saadin and Starz-Gaiano, 2018, Katheder et al., 2017, Recasens-Alvarez et al., 2017, Terriente-Félix et al., 2017, Ren et al., 2015, Bausek and Zeidler, 2014, Jones and Srivastava, 2014, Maimon et al., 2014, Thomas and Strutt, 2014, Huang et al., 2013, Silver-Morse and Li, 2013, Sotillos et al., 2013, Wells et al., 2013, Zeidler and Bausek, 2013, Zhou and Luo, 2013, Ameres et al., 2011, Stec and Zeidler, 2011, Wang et al., 2011, Wright et al., 2011, Liu et al., 2010, Robinson et al., 2010, Singh et al., 2010, Cronin et al., 2009, Flaherty et al., 2009, Gilbert et al., 2009, Gilbert et al., 2009, González et al., 2009, Jacques et al., 2009, Liu et al., 2009, Ozdowski et al., 2009, Sheng et al., 2009, Betz et al., 2008, Copf and Preat, 2008, Rodrigues and Bach, 2008, Shi et al., 2008, Sotillos et al., 2008, Ayala et al., 2007, Bach et al., 2007, Gilbert et al., 2007, Luque and Milan, 2007, Pfleger et al., 2007, Rodrigues and Bach, 2007, Arbouzova, 2006, Brown et al., 2006, de las Heras and Casanova, 2006, Ekas et al., 2006, Karsten et al., 2006, Lovegrove et al., 2006, Morrison and Kimble, 2006, Mukherjee et al., 2006, Singh et al., 2006, Hombria et al., 2005, Mukherjee et al., 2005, Brawley and Matunis, 2004, Brawley et al., 2004, Sorrentino et al., 2004, Bach et al., 2003, Chen et al., 2003, Denef and Schupbach, 2003, Ghabrial et al., 2003, Li et al., 2003, Li et al., 2003, Ozdowski et al., 2003, Silver and Montell, 2003, Bach and Perrimon, 2002, Baksa et al., 2002, Callus and Mathey-Prevot, 2002, Chen et al., 2002, Castelli-Gair et al., 2001, Jackson, 2001, Kiger et al., 2001, Luo and Dearolf, 2001, Silver and Montell, 2001, Tulina and Matunis, 2001, Myrick and Dearolf, 2000, Williams, 2000, Zeidler et al., 2000, Eldon et al., 1999, Williams et al., 1999, Zeidler et al., 1999, Harrison et al., 1998, Mathey-Prevot and Perrimon, 1998, Hou and Perrimon, 1997)
      Name Synonyms
      Signal-transducer and activator of transcription protein
      Signal-transducer and activator of transcription protein at 92E
      signal transducer and activator of transcription
      signal transducers and activator of transcription
      Secondary FlyBase IDs
      • FBgn0010885
      • FBgn0011396
      • FBgn0015512
      Datasets (1)
      Study focus (1)
      Experimental Role
      Project
      Project Type
      Title
      • bait_protein
      Genome-wide localization of transcription factors by ChIP-chip and ChIP-Seq.
      Study result (0)
      Result
      Result Type
      Title
      External Crossreferences and Linkouts ( 135 )
      Sequence Crossreferences
      NCBI Gene - Gene integrates information from a wide range of species. A record may include nomenclature, Reference Sequences (RefSeqs), maps, pathways, variations, phenotypes, and links to genome-, phenotype-, and locus-specific resources worldwide.
      GenBank Protein - A collection of sequences from several sources, including translations from annotated coding regions in GenBank, RefSeq and TPA, as well as records from SwissProt, PIR, PRF, and PDB.
      UniProt/GCRP - The gene-centric reference proteome (GCRP) provides a 1:1 mapping between genes and UniProt accessions in which a single 'canonical' isoform represents the product(s) of each protein-coding gene.
      UniProt/Swiss-Prot - Manually annotated and reviewed records of protein sequence and functional information
      UniProt/TrEMBL - Automatically annotated and unreviewed records of protein sequence and functional information
      Other crossreferences
      AlphaFold DB - AlphaFold provides open access to protein structure predictions for the human proteome and other key proteins of interest, to accelerate scientific research.
      BDGP expression data - Patterns of gene expression in Drosophila embryogenesis
      DRscDB - A single-cell RNA-seq resource for data mining and data comparison across species
      EMBL-EBI Single Cell Expression Atlas - Single cell expression across species
      FlyAtlas2 - A Drosophila melanogaster expression atlas with RNA-Seq, miRNA-Seq and sex-specific data
      FlyMine - An integrated database for Drosophila genomics
      KEGG Genes - Molecular building blocks of life in the genomic space.
      MARRVEL_MODEL - MARRVEL (model organism gene)
      Linkouts
      BioGRID - A database of protein and genetic interactions.
      Drosophila Genomics Resource Center - Drosophila Genomics Resource Center (DGRC) cDNA clones
      DroID - A comprehensive database of gene and protein interactions.
      DRSC - Results frm RNAi screens
      FlyAtlas - Adult expression by tissue, using Affymetrix Dros2 array
      FlyCyc Genes - Genes from a BioCyc PGDB for Dmel
      Fly-FISH - A database of Drosophila embryo and larvae mRNA localization patterns
      Flygut - An atlas of the Drosophila adult midgut
      iBeetle-Base - RNAi phenotypes in the red flour beetle (Tribolium castaneum)
      Interactive Fly - A cyberspace guide to Drosophila development and metazoan evolution
      MIST (genetic) - An integrated Molecular Interaction Database
      MIST (protein-protein) - An integrated Molecular Interaction Database
      SignaLink - A signaling pathway resource with multi-layered regulatory networks.
      References (1,001)