FB2026_01 , released March 12, 2026
FB2026_01 , released March 12, 2026
Gene: Dmel\yki
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General Information
Symbol
Dmel\yki
Species
D. melanogaster
Name
yorkie
Annotation Symbol
CG4005
Feature Type
FlyBase ID
FBgn0034970
Gene Model Status
Stock Availability
Gene Summary
yorkie (yki) encodes a transcriptional co-activator protein that is negatively regulated by Hippo signaling, which promotes its cytoplasmic localization. It functions together with DNA binding proteins, such as the product of sd, to activate transcription of a wide range of downstream targets, including genes that promote growth. [Date last reviewed: 2019-03-21] (FlyBase Gene Snapshot)
Also Known As

YAP

Key Links
Genomic Location
Cytogenetic map
Sequence location
Recombination map
2-106
RefSeq locus
NT_033778 REGION:24065975..24068485
Sequence
Genomic Maps
Other Genome Views
The following external sites may use different assemblies or annotations than FlyBase.
Function
Gene Ontology (GO) Annotations (33 terms)
Molecular Function (5 terms)
Terms Based on Experimental Evidence (5 terms)
CV Term
Evidence
References
inferred from physical interaction with FLYBASE:sd; FB:FBgn0003345
inferred from physical interaction with FLYBASE:hth; FB:FBgn0001235
inferred from physical interaction with FLYBASE:ovo; FB:FBgn0003028
inferred from physical interaction with UniProtKB:Q9VZI2
inferred from physical interaction with UniProtKB:Q07436
inferred from physical interaction with UniProtKB:P25439
inferred from physical interaction with UniProtKB:P29310
inferred from physical interaction with UniProtKB:P92177
inferred from physical interaction with UniProtKB:P30052
inferred from physical interaction with UniProtKB:P51140
inferred from physical interaction with FLYBASE:Ncoa6; FB:FBgn0031698
Terms Based on Predictions or Assertions (1 term)
CV Term
Evidence
References
inferred from biological aspect of ancestor with PANTHER:PTN000427153
Biological Process (22 terms)
Terms Based on Experimental Evidence (22 terms)
CV Term
Evidence
References
inferred from genetic interaction with FLYBASE:Strn-Mlck; FB:FBgn0265045
inferred from mutant phenotype
inferred from mutant phenotype
inferred from mutant phenotype
inferred from mutant phenotype
inferred from genetic interaction with FLYBASE:bon; FB:FBgn0023097
inferred from mutant phenotype
inferred from genetic interaction with FLYBASE:Mitf; FB:FBgn0263112
inferred from mutant phenotype
inferred from mutant phenotype
inferred from genetic interaction with UniProtKB:Q9VZI2
inferred from mutant phenotype
inferred from mutant phenotype
inferred from mutant phenotype
inferred from mutant phenotype
inferred from mutant phenotype
inferred from mutant phenotype
inferred from direct assay
Terms Based on Predictions or Assertions (2 terms)
CV Term
Evidence
References
involved_in hippo signaling
inferred from biological aspect of ancestor with PANTHER:PTN000427153
Cellular Component (6 terms)
Terms Based on Experimental Evidence (5 terms)
CV Term
Evidence
References
Terms Based on Predictions or Assertions (1 term)
CV Term
Evidence
References
inferred from sequence or structural similarity with UniProtKB:P46938
Gene Group (FlyBase)
Protein Family (UniProt)
Belongs to the YAP1 family. (Q45VV3)
Summaries
Gene Snapshot
yorkie (yki) encodes a transcriptional co-activator protein that is negatively regulated by Hippo signaling, which promotes its cytoplasmic localization. It functions together with DNA binding proteins, such as the product of sd, to activate transcription of a wide range of downstream targets, including genes that promote growth. [Date last reviewed: 2019-03-21]
Pathway (FlyBase)
HIPPO SIGNALING PATHWAY CORE COMPONENTS -
The Hippo signaling pathway is an intracellular kinase cascade in which hpo kinase in complex with sav, phosphorylates wts kinase which, in turn, phosphorylates yki transcriptional co-activator leading to its cytosolic retention. Activation of the Hippo pathway results in the down-regulation of cell proliferation and up-regulation of apoptosis, limiting tissue size. (Adapted from FBrf0224870).
Protein Function (UniProtKB)
Transcriptional coactivator which is the critical downstream regulatory target in the Hippo/SWH (Sav/Wts/Hpo) signaling pathway that plays a pivotal role in organ size control and tumor suppression by restricting proliferation and promoting apoptosis (PubMed:16096061, PubMed:18313299, PubMed:22615583, PubMed:27462444). The core of this pathway is composed of a kinase cascade wherein Hippo (Hpo), in complex with its regulatory protein Salvador (Sav), phosphorylates and activates Warts (Wts) in complex with its regulatory protein Mats, which in turn phosphorylates and inactivates the Yorkie (Yki) oncoprotein (PubMed:16096061, PubMed:19900439). The Hippo/SWH signaling pathway inhibits the activity of the transcriptional complex formed by Scalloped (sd) and Yki and the target genes of this pathway include cyclin-E (cycE), diap1 and bantam (PubMed:16096061, PubMed:18313299). Regulates the expression of G1/S-specific CycE and diap1, thereby promoting cell proliferation and inhibiting apoptosis (PubMed:18313299). Required for transcriptional activity of sd in wing imaginal disks (PubMed:18313299). Induces expression of expression of vestigial (vg) in wing and haltere disks and the expression of transcription factor E2f (E2f) (PubMed:18313299).
(UniProt, Q45VV3)
Summary (Interactive Fly)

target of the Hippo-Warts pathway - ortholog of the mammalian transcriptional coactivator yes-associated protein - transcriptional coactivator that negatively regulates cell-cycle and cell-death regulators - fold formation at the compartment boundary of Drosophila wing requires Yki signaling to suppress JNK dependent apoptosis

Gene Model and Products
Number of Transcripts
4
Number of Unique Polypeptides
3

Please see the JBrowse view of Dmel\yki 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 Q45VV3)

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

Gene model reviewed during 5.40

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

Gene model reviewed during 5.52

Gene model reviewed during 6.14

Transcript Data
Annotated Transcripts
Name
FlyBase ID
RefSeq ID
Length (nt)
Assoc. CDS (aa)
FBtr0290256
1369
343
FBtr0290258
1525
395
FBtr0309372
1460
395
FBtr0452181
1525
418
Additional Transcript Data and Comments
Reported size (kB)
Comments
External Data
Crossreferences
Polypeptide Data
Annotated Polypeptides
Name
FlyBase ID
Predicted MW (kDa)
Length (aa)
Theoretical pI
UniProt
RefSeq ID
GenBank
FBpp0288695
37.8
343
5.34
FBpp0288697
43.6
395
5.04
FBpp0301274
43.6
395
5.04
FBpp0402906
46.2
418
5.37
Polypeptides with Identical Sequences

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

395 aa isoforms: yki-PF, yki-PG
Additional Polypeptide Data and Comments
Reported size (kDa)
Comments
External Data
Subunit Structure (UniProtKB)

Interacts (via WW domains) with wts (PubMed:16096061). Interacts (via N-terminus) with sd (via C-terminus) and this interaction enhances the transcriptional activity of sd (PubMed:18313299). The phosphorylated form interacts with 14-3-3epsilon and 14-3-3zeta (PubMed:18256197). Interacts with Ack and ex (PubMed:27462444).

(UniProt, Q45VV3)
Post Translational Modification

Its activity is regulated by multiple phosphorylation events (PubMed:16096061, PubMed:18256197, PubMed:19900439, PubMed:31857346). Phosphorylation at Ser-88, Ser-145 and Ser-227 negatively regulate its activity and restrict its nuclear localization (PubMed:19900439). Wts-mediated phosphorylation at Ser-145 promotes interaction with 14-3-3epsilon and 14-3-3zeta (PubMed:18256197). Phosphorylation at Ser-88 and Ser-227 regulate nuclear localization and activity independent of 14-3-3 association (PubMed:19900439). Phosphorylation at Ser-146 by Cdk7 promotes its stability by preventing ubiquitination by the DCX(DCAF12) complex (PubMed:31857346).

Ubiquitinated by the DCX(DCAF12) complex, leading to its degradation (PubMed:31857346). Phosphorylation at Ser-146 by Cdk7 prevents ubiquitination by the DCX(DCAF12) complex (PubMed:31857346).

(UniProt, Q45VV3)
Crossreferences
InterPro - A database of protein families, domains and functional sites
Linkouts
Sequences Consistent with the Gene Model
Mapped Features

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

External Data
Crossreferences
Eukaryotic Promoter Database - A collection of databases of experimentally validated promoters for selected model organisms.
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).

0.12

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

Comment: maternally deposited

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

yki is expressed in glial cells in the central brain, the ventral nerve cord, the eye disc, and the optic stalk in larval eye discs.

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\yki 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
FlyExpress - Embryonic expression images (BDGP data)
  • Stages(s) 1-3
  • Stages(s) 4-6
  • Stages(s) 7-8
  • Stages(s) 11-12
  • Stages(s) 13-16
Alleles, Insertions, Transgenic Constructs, and Aberrations
Classical and Insertion Alleles ( 24 )
For All Classical and Insertion Alleles Show
 
Other relevant insertions
Transgenic Constructs ( 131 )
For All Alleles Carried on Transgenic Constructs Show
Transgenic constructs containing/affecting coding region of yki
Transgenic constructs containing regulatory region of yki
Aberrations (Deficiencies and Duplications) ( 1 )
Inferred from experimentation ( 1 )
Inferred from location ( 1 )
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
Orthologs
Human Orthologs (via DIOPT v9.1)
Species\Gene Symbol
Score
Best Score
Best Reverse Score
Alignment
Complementation?
Transgene?
Homo sapiens (Human) (40)
11 of 14
Yes
Yes
16  
9 of 14
No
Yes
1  
2 of 14
No
No
2 of 14
No
No
2 of 14
No
No
2 of 14
No
No
2 of 14
No
No
2 of 14
No
No
2  
2 of 14
No
No
2  
2 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1  
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1  
1 of 14
No
No
1  
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1  
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1  
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
2  
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1  
1 of 14
No
No
1  
1 of 14
No
No
3  
Model Organism Orthologs (via DIOPT v9.1)
Species\Gene Symbol
Score
Best Score
Best Reverse Score
Alignment
Complementation?
Transgene?
Rattus norvegicus (Norway rat) (30)
10 of 14
Yes
Yes
10 of 14
Yes
Yes
2 of 14
No
No
2 of 14
No
No
2 of 14
No
No
2 of 14
No
No
2 of 14
No
No
2 of 14
No
No
2 of 14
No
No
2 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
Mus musculus (laboratory mouse) (37)
11 of 14
Yes
Yes
9 of 14
No
Yes
2 of 14
No
No
2 of 14
No
No
2 of 14
No
No
2 of 14
No
No
2 of 14
No
No
2 of 14
No
No
2 of 14
No
No
2 of 14
No
No
2 of 14
No
No
2 of 14
No
No
2 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
Xenopus tropicalis (Western clawed frog) (17)
8 of 13
Yes
Yes
4 of 13
No
Yes
3 of 13
No
No
1 of 13
No
No
1 of 13
No
No
1 of 13
No
No
1 of 13
No
No
1 of 13
No
No
1 of 13
No
No
1 of 13
No
No
1 of 13
No
No
1 of 13
No
No
1 of 13
No
No
1 of 13
No
No
1 of 13
No
No
1 of 13
No
No
1 of 13
No
No
Danio rerio (Zebrafish) (31)
11 of 14
Yes
Yes
10 of 14
No
Yes
2 of 14
No
No
2 of 14
No
No
2 of 14
No
No
2 of 14
No
No
2 of 14
No
No
2 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
Caenorhabditis elegans (Nematode, roundworm) (11)
5 of 14
Yes
Yes
2 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
Anopheles gambiae (African malaria mosquito) (21)
11 of 12
Yes
Yes
1 of 12
No
No
Arabidopsis thaliana (thale-cress) (8)
1 of 13
Yes
No
1 of 13
Yes
No
1 of 13
Yes
No
1 of 13
Yes
No
1 of 13
Yes
No
1 of 13
Yes
No
1 of 13
Yes
No
1 of 13
Yes
No
Saccharomyces cerevisiae (Brewer's yeast) (6)
1 of 13
Yes
No
1 of 13
Yes
No
1 of 13
Yes
No
1 of 13
Yes
No
1 of 13
Yes
No
1 of 13
Yes
No
Schizosaccharomyces pombe (Fission yeast) (8)
2 of 12
Yes
No
2 of 12
Yes
No
1 of 12
No
No
1 of 12
No
No
1 of 12
No
No
1 of 12
No
No
1 of 12
No
No
1 of 12
No
No
Escherichia coli (enterobacterium) (0)
Other Organism Orthologs (via OrthoDB)
Data provided directly from OrthoDB:yki. Refer to their site for version information.
Paralogs
Paralogs (via DIOPT v9.1)
Drosophila melanogaster (Fruit fly) (20)
2 of 13
2 of 13
2 of 13
2 of 13
2 of 13
1 of 13
1 of 13
1 of 13
1 of 13
1 of 13
1 of 13
1 of 13
1 of 13
1 of 13
1 of 13
1 of 13
1 of 13
1 of 13
1 of 13
1 of 13
Human Disease Associations
FlyBase Human Disease Model Reports
Disease Ontology (DO) Annotations
Models Based on Experimental Evidence ( 15 )
Allele
Disease
Evidence
References
Potential Models Based on Orthology ( 1 )
Modifiers Based on Experimental Evidence ( 19 )
Allele
Disease
Interaction
References
model of  cancer
is ameliorated by lzUAS.cBa
is exacerbated by trioUAS.cUa
model of  cancer
is exacerbated by GlnRSKK109443
is ameliorated by AlaRSGD8009
is exacerbated by ArgRSGD14098
is ameliorated by AsnRSGD7064
is ameliorated by AsnRSKK100240
is ameliorated by AspRSGD1339
is exacerbated by CysRSGD13923
is ameliorated by GlyRSKK107421
is exacerbated by HisRSKK102374
is exacerbated by LysRSKK101852
is exacerbated by ThrRSGD1342
is exacerbated by TyrRSGD11353
is ameliorated by Ilp8MI00727
is ameliorated by ImpL2GD6004
is ameliorated by Lgr3Δ50
is ameliorated by Ilp8KK112161
exacerbates  carcinoma
model of  cancer
is ameliorated by foxoTM.UAS
is ameliorated by panΔN.UAS
is ameliorated by wgHMS00794
is ameliorated by wgJF01257
is ameliorated by AktHMS00007
is ameliorated by ITPGD3825
is ameliorated by ITPJF01817
is ameliorated by ImpL2HMC05809
is ameliorated by upd3HMS00646
is ameliorated by domeGD2612
is ameliorated by hopHMS00761
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.
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
RNA-protein
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
suppressible
suppressible
suppressible
Starting gene(s)
Interaction type
Interacting gene(s)
Reference
suppressible
suppressible
suppressible
suppressible
External Data
Subunit Structure (UniProtKB)
Interacts (via WW domains) with wts (PubMed:16096061). Interacts (via N-terminus) with sd (via C-terminus) and this interaction enhances the transcriptional activity of sd (PubMed:18313299). The phosphorylated form interacts with 14-3-3epsilon and 14-3-3zeta (PubMed:18256197). Interacts with Ack and ex (PubMed:27462444).
(UniProt, Q45VV3 )
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
Signaling Pathways (FlyBase)
Metabolic Pathways
FlyBase
External Links
External Data
Linkouts
KEGG Pathways - A collection of manually drawn pathway maps representing knowledge of molecular interaction, reaction and relation networks.
Reactome - An open-source, open access, manually curated and peer-reviewed pathway database.
SignaLink - A signaling pathway resource with multi-layered regulatory networks.
Class of Gene
Genomic Location and Detailed Mapping Data
Chromosome (arm)
2R
Recombination map
2-106
Cytogenetic map
Sequence location
FlyBase Computed Cytological Location
Cytogenetic map
Evidence for location
60B7-60B8
Limits computationally determined from genome sequence between P{lacW}Phmk07623&P{lacW}tsrk05633 and P{EP}EP503
Experimentally Determined Cytological Location
Cytogenetic map
Notes
References
Experimentally Determined Recombination Data
Location
Left of (cM)
Right of (cM)
Notes
Stocks and Reagents
Stocks (35)
Genomic Clones (16)
 

Please Note FlyBase no longer curates genomic clone accessions so this list may not be complete

cDNA Clones (57)
 

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
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)
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
 
  • New stable cell line derived from S2-unspecified : S2 cells were stably transfected with yki and sd constructs.

  • New stable cell line derived from S2-unspecified : Stable S2-yki-SBP and S2-bon-SBP cell lines were created, which are S2 cells containing streptavidin-binding peptide (SBP)-flagged yki or bon. The S2 cells were obtained from the laboratory of Spyros Artavanis-Tsakonas.

Other Comments

yki promotes transcription by recruiting a histone methyltransferase complex.

The competitive properties of yki-expressing cells is extremely reduced when they are surrounded by cells expressing very high amounts of dm.

yki regulates expression of the ban miRNA.

yki is a kinase substrate of wts, becoming phosphorylated by wts upon activation of the hpo pathway.

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

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

Source for identity of: yki CG4005

Nomenclature comments
Etymology

This gene is named "yorkie" after Yorkshire Terriers, one of the World's smallest breeds of pet dogs, according to its loss-of-function phenotype.

Synonyms and Secondary IDs (12)
Reported As
Symbol Synonym
Yki
(Dong and Cheng, 2025, Li et al., 2025, Singh et al., 2025, Bhattacharya et al., 2024, Lee et al., 2024, Leung et al., 2024, Li et al., 2024, Murthy et al., 2024, Nagata and Igaki, 2024, Portela et al., 2024, Saez-Carrion et al., 2024, Tokamov et al., 2024, Xu et al., 2024, Zhai et al., 2024, Gilhaus et al., 2023, Golubev et al., 2023, Kasiah and McNeill, 2023, Kim et al., 2023, Maurya and Tapadia, 2023, Petsakou et al., 2023, Shi et al., 2023, Zhai et al., 2023, Zhu et al., 2023, Almeida Machado Costa et al., 2022, Enomoto and Igaki, 2022, Hu et al., 2022, Kong et al., 2022, Kumar and Baker, 2022, Li et al., 2022, Liu et al., 2022, Mesrouze et al., 2022, Tarikere et al., 2022, Wang et al., 2022, Yang et al., 2022, Zhang and Edgar, 2022, Alvarez-Ochoa et al., 2021, Bailey et al., 2021, Besen-McNally et al., 2021, Bilder et al., 2021, Boumard and Bardin, 2021, Cho and Jiang, 2021, Dillard et al., 2021, Ding et al., 2021, Gogia et al., 2021, Gong et al., 2021, Hodgson et al., 2021, Ito and Igaki, 2021, Johnson, 2021, Kong et al., 2021, Lam Wong and Verheyen, 2021, Li and Hidalgo, 2021, Lodge et al., 2021, Meiler et al., 2021, Muñoz-Nava et al., 2021, Paci and Mao, 2021, Paraskevopoulos and McGuigan, 2021, Snigdha et al., 2021, Srivastava et al., 2021, Strutt and Strutt, 2021, Vigano et al., 2021, Baker, 2020, Blanco et al., 2020, Coelho, 2020, Deng et al., 2020, Fulford and McNeill, 2020, Gangwani et al., 2020, Gou et al., 2020, Gutiérrez-Martínez et al., 2020, Jang et al., 2020, Jasper, 2020, Kanda and Igaki, 2020, Khan et al., 2020, La Marca and Richardson, 2020, López-Gay et al., 2020, Mesrouze et al., 2020, Mohammadi et al., 2020, Nguyen et al., 2020, Parker and Struhl, 2020, Skouloudaki et al., 2020, Vizcaya-Molina et al., 2020, Yu et al., 2020, Borreguero-Muñoz et al., 2019, Fulford et al., 2019, Gao et al., 2019, Gjelsvik et al., 2019, Gokhale and Pfleger, 2019, Kim et al., 2019, Ly et al., 2019, Meltzer et al., 2019, Mirzoyan et al., 2019, Politano et al., 2019, Sidor et al., 2019, Sun et al., 2019, Xu et al., 2019, Bae and Luo, 2018, Bohère et al., 2018, Cong et al., 2018, Elbediwy and Thompson, 2018, Enomoto et al., 2018, Fletcher et al., 2018, Fulford et al., 2018, Gou et al., 2018, He et al., 2018, Kim and Jho, 2018, Martín and Morata, 2018, Perochon et al., 2018, Richardson and Portela, 2018, Sander et al., 2018, Shen et al., 2018, Simón-Carrasco et al., 2018, Tsuboi et al., 2018, Xu et al., 2018, Baker, 2017, Di Giacomo et al., 2017, Hariharan and Serras, 2017, Hu et al., 2017, Jang et al., 2017, Karaiskos et al., 2017, Li et al., 2017, Liu and Jin, 2017, Liu and Jin, 2017, Ma et al., 2017, Moeller et al., 2017, Pascual et al., 2017, Richardson and Portela, 2017, Shalaby et al., 2017, Shu and Deng, 2017, Song et al., 2017, Tue et al., 2017, Weide et al., 2017, Xu et al., 2017, Yamamoto et al., 2017, Zaytseva and Quinn, 2017, Zhang et al., 2017, Atkins et al., 2016, Becker et al., 2016, Fallahi et al., 2016, Hergovich, 2016, Hu et al., 2016, Jiang et al., 2016, Ko et al., 2016, Meng et al., 2016, Padash Barmchi et al., 2016, Pan et al., 2016, Saadin and Starz-Gaiano, 2016, Simon et al., 2016, Tamori et al., 2016, Viets et al., 2016, Yadav et al., 2016, Cao et al., 2015, Dent et al., 2015, Enomoto et al., 2015, Enomoto et al., 2015, Figueroa-Clarevega and Bilder, 2015, Gaspar et al., 2015, Grifoni and Bellosta, 2015, Grifoni et al., 2015, Irvine and Harvey, 2015, Li et al., 2015, Morata and Ballesteros-Arias, 2015, Sopko et al., 2015, Su, 2015, Wang et al., 2015, Zheng et al., 2015, Amoyel and Bach, 2014, Bilak et al., 2014, Bossuyt et al., 2014, Cao et al., 2014, Chen et al., 2014, Hu et al., 2014, Ikmi et al., 2014, Qing et al., 2014, Robbins et al., 2014, Sadeqzadeh et al., 2014, Slattery et al., 2014, Andersen et al., 2013, Bausek, 2013, Degoutin et al., 2013, Enderle and McNeill, 2013, Gallant, 2013, Guo et al., 2013, Huang et al., 2013, Jin et al., 2013, Khan et al., 2013, Levayer and Moreno, 2013, Lucas et al., 2013, Matsui and Lai, 2013, Ren et al., 2013, Sidor et al., 2013, Slattery et al., 2013, Wong et al., 2013, Yin et al., 2013, Yu and Guan, 2013, Yu et al., 2013, Zoranovic et al., 2013, Amoyel and Bach, 2012, Chen et al., 2012, Fausti et al., 2012, Jin et al., 2012, Liu et al., 2012, Tokusumi et al., 2012, Worley et al., 2012, Yue et al., 2012, Baker, 2011, Chan et al., 2011, Genevet and Tapon, 2011, Gilbert et al., 2011, Halder and Johnson, 2011, Laprise, 2011, Losick et al., 2011, Oh and Irvine, 2011, Parker, 2011, Rauskolb et al., 2011, Richter et al., 2011, Salah and Aqeilan, 2011, Truscott et al., 2011, Zhang et al., 2011, Zhao et al., 2011, Grzeschik et al., 2010, Hall et al., 2010, Ho et al., 2010, Ren et al., 2010, Yu et al., 2010, Hamaratoglu et al., 2009, Oh and Irvine, 2009, Zhang et al., 2009, Dutta and Baehrecke, 2008, Rogulja et al., 2008, Shimizu et al., 2008, Zhai et al., 2008, Zhang et al., 2008, Zhang et al., 2008, Wei et al., 2007, Wei et al., 2007, Edgar, 2006, Hariharan, 2006, Polesello et al., 2006, Willecke et al., 2006)
yki
(Kong et al., 2025, Kong et al., 2025, Martinez, 2025, Merle et al., 2025, Montemurro et al., 2025, Park et al., 2025, Shun Li et al., 2025, Yu et al., 2025, Collins et al., 2024, Gao et al., 2024, Guo et al., 2024, Ju et al., 2024, Luo et al., 2024, Manning et al., 2024, Miao et al., 2024, Mitchell et al., 2024, Sun et al., 2024, Wen et al., 2024, Ewen-Campen et al., 2023, Fulford et al., 2023, Ku et al., 2023, Nagai et al., 2023, Pino-Jiménez et al., 2023, Saavedra et al., 2023, Stanković et al., 2023, Wang et al., 2023, Xu et al., 2023, Zhao et al., 2023, Zhou and Boutros, 2023, Antonica et al., 2022, Crucianelli et al., 2022, Ding et al., 2022, Ding et al., 2022, Gao et al., 2022, Gera et al., 2022, Jiang et al., 2022, Kim et al., 2022, Li et al., 2022, Logeay et al., 2022, Rose et al., 2022, Sebastian et al., 2022, Agrawal et al., 2021, Badmos et al., 2021, Bonfini et al., 2021, Cong et al., 2021, Ding et al., 2021, García-López et al., 2021, Izumi et al., 2021, Keegan and Hughes, 2021, Lee et al., 2021, Pojer et al., 2021, Sang et al., 2021, Santabárbara-Ruiz and Léopold, 2021, Sharp et al., 2021, Strassburger et al., 2021, Tavares et al., 2021, Tokamov et al., 2021, Wada et al., 2021, Xu et al., 2021, Yang and Choi, 2021, Yeom et al., 2021, Zecca and Struhl, 2021, Bajpai and Sinha, 2020, Bajpai et al., 2020, Bakshi and Joshi, 2020, Blanco et al., 2020, Chen et al., 2020, Funk et al., 2020, Gogia et al., 2020, Guo et al., 2020, Hao et al., 2020, Hayashi et al., 2020, Irwin et al., 2020, Koranteng et al., 2020, Li and Hidalgo, 2020, Li et al., 2020, Ma et al., 2020, Parra and Johnston, 2020, Rust and Nystul, 2020, Ueoka et al., 2020, Venugopal et al., 2020, Vissers et al., 2020, Yatsenko et al., 2020, Yeom et al., 2020, Zhou et al., 2020, Alégot et al., 2019, Arbouzova et al., 2019, Banerjee et al., 2019, Boulan et al., 2019, Chang et al., 2019, Fahey-Lozano et al., 2019, Francis et al., 2019, Gao et al., 2019, Gaspar et al., 2019, Gerlach et al., 2019, Gervais et al., 2019, Grendler et al., 2019, Guo et al., 2019, Hall et al., 2019, Herrera and Bach, 2019, Jain et al., 2019, Khadilkar and Tanentzapf, 2019, Khezri and Rusten, 2019, Kim and Choi, 2019, Ma et al., 2019, Matsui et al., 2019, Moreno et al., 2019, Nie et al., 2019, Ramanathan et al., 2019, Saavedra and Perrimon, 2019, Sarpal et al., 2019, Schaub et al., 2019, Singh et al., 2019, Skouloudaki et al., 2019, Snigdha et al., 2019, Song et al., 2019, Texada et al., 2019, Wang and Baker, 2019, Wong et al., 2019, Xie et al., 2019, Yamamoto et al., 2019, Yee et al., 2019, Zhang et al., 2019, Albert et al., 2018, Azuma et al., 2018, Billmann et al., 2018, Campbell et al., 2018, Cho et al., 2018, Crossman et al., 2018, Donohoe et al., 2018, Forest et al., 2018, Gene Disruption Project members, 2018-, Gou et al., 2018, Katsukawa et al., 2018, Li et al., 2018, Nyarko, 2018, Reilein et al., 2018, Sarkar et al., 2018, Tsai et al., 2018, Wang and Baker, 2018, Wang et al., 2018, Yu and Pan, 2018, Zülbahar et al., 2018, Anderson et al., 2017, Arata et al., 2017, Hevia et al., 2017, Houtz et al., 2017, Katheder et al., 2017, Li et al., 2017, Ma et al., 2017, Moon et al., 2017, Rossi et al., 2017, Su et al., 2017, Transgenic RNAi Project members, 2017-, Upadhyay et al., 2017, Wells et al., 2017, Zhang et al., 2017, Zhang et al., 2017, Atkins et al., 2016, Barron and Moberg, 2016, Boone et al., 2016, Chan et al., 2016, Corty et al., 2016, Deng et al., 2016, Harris et al., 2016, Huang et al., 2016, Jahanshahi et al., 2016, Kuleesha et al., 2016, Liu et al., 2016, Losick et al., 2016, Mao et al., 2016, Moulton and Letsou, 2016, Park et al., 2016, Poon et al., 2016, Sakuma et al., 2016, Sarov et al., 2016, Suijkerbuijk et al., 2016, Willsey et al., 2016, Barrios et al., 2015, Dent et al., 2015, Di Cara et al., 2015, Doggett et al., 2015, Dong et al., 2015, Enomoto et al., 2015, Enzo et al., 2015, Fletcher et al., 2015, Gailite et al., 2015, Keder et al., 2015, Kwon et al., 2015, Kwon et al., 2015, Li et al., 2015, Meserve and Duronio, 2015, Parker and Struhl, 2015, Pasco et al., 2015, Patel et al., 2015, Sun et al., 2015, Vrabioiu and Struhl, 2015, Wan et al., 2015, Wang and Baker, 2015, Wittkorn et al., 2015, Wong et al., 2015, Yu et al., 2015, Zaessinger et al., 2015, Zhang et al., 2015, Zhang et al., 2015, Zhu et al., 2015, Boyle et al., 2014, Djabrayan et al., 2014, Ferguson and Martinez-Agosto, 2014, Fernández et al., 2014, Handke et al., 2014, Huang and Kalderon, 2014, Huang et al., 2014, Huang et al., 2014, Ikmi et al., 2014, Johnston, 2014, Li et al., 2014, Lin et al., 2014, Rauskolb et al., 2014, Rhee et al., 2014, Sing et al., 2014, Skwarek et al., 2014, Sorrentino et al., 2014, Tipping and Perrimon, 2014, Huang et al., 2013, Ilanges et al., 2013, Jukam et al., 2013, Jukam et al., 2013, Khan et al., 2013, Koontz et al., 2013, Kwon et al., 2013, Kwon et al., 2013, Kwon et al., 2013, Lin et al., 2013, Losick et al., 2013, Marcinkevicius and Zallen, 2013, Oh et al., 2013, Repiso et al., 2013, Tamori and Deng, 2013, Webber et al., 2013, Wehr et al., 2013, Yu et al., 2013, Yu et al., 2013, Zhang and Cohen, 2013, Zhou and Luo, 2013, Chen and Verheyen, 2012, Herranz et al., 2012, Kagey et al., 2012, Nagaraj et al., 2012, Poernbacher et al., 2012, Poon et al., 2012, Schoenherr et al., 2012, Verghese et al., 2012, Ye et al., 2012, Zhai et al., 2012, Zhang et al., 2012, Bao et al., 2011, Boggiano et al., 2011, Chen et al., 2011, Fernández et al., 2011, Gerhold et al., 2011, Gilbert et al., 2011, Grusche et al., 2011, Kawamori et al., 2011, Napoletano et al., 2011, Reddy and Irvine, 2011, Willecke et al., 2011, Zhang et al., 2011, Baumgartner et al., 2010, Baumgartner et al., 2010, Beam and Moberg, 2010, Benseñor et al., 2010, Chen et al., 2010, Das Thakur et al., 2010, Estella and Mann, 2010, Fang and Adler, 2010, Genevet et al., 2010, Genevet et al., 2010, Ho et al., 2010, Menéndez et al., 2010, Milton et al., 2010, Morrison and Halder, 2010, Neto-Silva et al., 2010, Nicolay et al., 2010, Reddy et al., 2010, Ren et al., 2010, Ribeiro et al., 2010, Robinson et al., 2010, Shaw et al., 2010, Varelas et al., 2010, Yu et al., 2010, Zecca and Struhl, 2010, Ziosi et al., 2010, Badouel et al., 2009, Genevet et al., 2009, Gilbert et al., 2009, Gilbert et al., 2009, Hamaratoglu et al., 2009, Peng et al., 2009, Zhang et al., 2009, Zhao et al., 2009, Baena-Lopez et al., 2008, Goulev et al., 2008, Nicolay and Frolov, 2008, Oh and Irvine, 2008, Sun et al., 2008, Wu et al., 2008, Yu et al., 2008, Zhao et al., 2008, Dong et al., 2007, Meignin et al., 2007, Polesello and Tapon, 2007, Shcherbata et al., 2007, Zhao et al., 2007, Bennett and Harvey, 2006, Cho et al., 2006, Emoto et al., 2006, Silva, 2006, Silva et al., 2006)
Name Synonyms
Yorkie
(Gujar and Wang, 2025, Gou et al., 2023, Koehler and Huber, 2023, Huang et al., 2022, Ahmad et al., 2021, Mohajan et al., 2021, Chen et al., 2020, Ding et al., 2020, Manning et al., 2020, Texada et al., 2020, Arbones et al., 2019, Ahmed-de-Prado and Baonza, 2018, Gou et al., 2018, Kon, 2018, Lee et al., 2018, Moon et al., 2018, Di Giacomo et al., 2017, Liu et al., 2017, Upadhyay et al., 2017, Zaytseva and Quinn, 2017, Atkins et al., 2016, Becker et al., 2016, Boone et al., 2016, Chan et al., 2016, Corty et al., 2016, Hergovich, 2016, Hirabayashi, 2016, Ko et al., 2016, Hariharan, 2015, Kwon et al., 2015, Thompson, 2015, Wong et al., 2015, Zhu et al., 2015, Cao et al., 2014, Handke et al., 2014, Li et al., 2014, Robbins et al., 2014, Sadeqzadeh et al., 2014, Ayyaz and Jasper, 2013, Bausek, 2013, Huang et al., 2013, Jukam et al., 2013, Khan et al., 2013, Konsavage and Yochum, 2013, Kwon et al., 2013, Lawrence and Casal, 2013, Levayer and Moreno, 2013, Losick et al., 2013, Lucas et al., 2013, Repiso et al., 2013, Slattery et al., 2013, Yang and Hata, 2013, Zhou and Luo, 2013, Amoyel and Bach, 2012, Chen et al., 2012, Fausti et al., 2012, Jin et al., 2012, Mirth and Shingleton, 2012, Nagaraj et al., 2012, Schoenherr et al., 2012, Zhang et al., 2012, Bao et al., 2011, Halder and Johnson, 2011, Laprise, 2011, Poon et al., 2011, Reddy and Irvine, 2011, Baumgartner et al., 2010, Fang and Adler, 2010, Genevet et al., 2010, Grzeschik et al., 2010, Ho et al., 2010, Milton et al., 2010, Neto-Silva et al., 2010, Ren et al., 2010, Robinson et al., 2010, Varelas et al., 2010, Yu et al., 2010, Zecca and Struhl, 2010, Ziosi et al., 2010, Alarcón et al., 2009, Badouel et al., 2009, Hamaratoglu et al., 2009, Oh and Irvine, 2009, Oh et al., 2009, Zhang et al., 2009, Dutta and Baehrecke, 2008, Oh and Irvine, 2008, Zhang et al., 2008, Dong et al., 2007, Hamaratoglu et al., 2007, Meignin et al., 2007, Polesello and Tapon, 2007, Wei et al., 2007, Willecke et al., 2007, Cho et al., 2006, Colombani et al., 2006, Edgar, 2006, Hariharan, 2006, Polesello et al., 2006, Thompson and Cohen, 2006, Willecke et al., 2006)
Secondary FlyBase IDs
    Datasets (1)
    Study focus (1)
    Experimental Role
    Project
    Project Type
    Title
    • bait_protein
    Interaction map generated by purification of Hippo pathway factors, with identification of copurifying proteins by mass spectrometry.
    Study result (0)
    Result
    Result Type
    Title
    External Crossreferences and Linkouts ( 53 )
    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 Nucleotide - A collection of sequences from several sources, including GenBank, RefSeq, TPA, and PDB.
    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.
    RefSeq - A comprehensive, integrated, non-redundant, well-annotated set of reference sequences including genomic, transcript, and protein.
    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
    InterPro - A database of protein families, domains and functional sites
    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
    Eukaryotic Promoter Database - A collection of databases of experimentally validated promoters for selected model organisms.
    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
    KEGG Pathways - A collection of manually drawn pathway maps representing knowledge of molecular interaction, reaction and relation networks.
    MIST (genetic) - An integrated Molecular Interaction Database
    MIST (protein-protein) - An integrated Molecular Interaction Database
    Reactome - An open-source, open access, manually curated and peer-reviewed pathway database.
    SignaLink - A signaling pathway resource with multi-layered regulatory networks.
    References (818)