FB2025_01 , released February 20, 2025
Gene: Dmel\tkv
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General Information
Symbol
Dmel\tkv
Species
D. melanogaster
Name
thickveins
Annotation Symbol
CG14026
Feature Type
FlyBase ID
FBgn0003716
Gene Model Status
Stock Availability
Enzyme Name (EC)
receptor protein serine/threonine kinase (2.7.11.30)
Gene Summary
thickveins (tkv) encodes a transforming growth factor beta type I receptor. Together with the product of put, it functions as a receptor of the product of dpp and therefore contributes to the BMP signaling pathway. [Date last reviewed: 2019-06-13] (FlyBase Gene Snapshot)
Also Known As

str, Thickvein, l(2)04415, Brk25D, slater

Key Links
Genomic Location
Cytogenetic map
Sequence location
Recombination map
2-16
RefSeq locus
NT_033779 REGION:5219000..5271384
Sequence
Genomic Maps
Other Genome Views
The following external sites may use different assemblies or annotations than FlyBase.
Function
Gene Ontology (GO) Annotations (54 terms)
Molecular Function (8 terms)
Terms Based on Experimental Evidence (5 terms)
CV Term
Evidence
References
contributes_to BMP binding
inferred from direct assay
enables BMP binding
inferred from physical interaction with FLYBASE:dpp; FB:FBgn0000490
inferred from physical interaction with FLYBASE:Dad; FB:FBgn0020493
inferred from physical interaction with UniProtKB:P48375
inferred from direct assay
inferred from mutant phenotype
Terms Based on Predictions or Assertions (4 terms)
CV Term
Evidence
References
Biological Process (37 terms)
Terms Based on Experimental Evidence (31 terms)
CV Term
Evidence
References
inferred from mutant phenotype
inferred from mutant phenotype
involved_in cell migration
inferred from mutant phenotype
inferred from mutant phenotype
inferred from mutant phenotype
involved_in dorsal closure
inferred from mutant phenotype
inferred from mutant phenotype
inferred from genetic interaction with FLYBASE:dpp; FB:FBgn0000490
inferred from mutant phenotype
inferred from mutant phenotype
inferred from mutant phenotype
inferred from mutant phenotype
inferred from mutant phenotype
acts_upstream_of_positive_effect imaginal disc fusion, thorax closure
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 mutant phenotype
inferred from mutant phenotype
inferred from mutant phenotype
Terms Based on Predictions or Assertions (6 terms)
CV Term
Evidence
References
Cellular Component (9 terms)
Terms Based on Experimental Evidence (7 terms)
CV Term
Evidence
References
inferred from physical interaction with FLYBASE:wit; FB:FBgn0024179
colocalizes_with cytoneme
inferred from direct assay
located_in cytosol
inferred from high throughput direct assay
located_in early endosome
inferred from direct assay
inferred from direct assay
located_in plasma membrane
inferred from high throughput direct assay
inferred from direct assay
located_in presynapse
inferred from direct assay
Terms Based on Predictions or Assertions (3 terms)
CV Term
Evidence
References
inferred from biological aspect of ancestor with PANTHER:PTN000583887
is_active_in plasma membrane
inferred from biological aspect of ancestor with PANTHER:PTN002758232
Gene Group (FlyBase)
Protein Family (UniProt)
-
Catalytic Activity (EC/Rhea)
transmembrane receptor protein serine/threonine kinase activity
(1) L-seryl-[receptor-protein] + ATP = O-phospho-L-seryl-[receptor- protein] + ADP + H(+) (2.7.11.30)
(2) L-threonyl-[receptor-protein] + ATP = O-phospho-L-threonyl-[receptor- protein] + ADP + H(+) (2.7.11.30)
RHEA 18673:
Summaries
Gene Snapshot
thickveins (tkv) encodes a transforming growth factor beta type I receptor. Together with the product of put, it functions as a receptor of the product of dpp and therefore contributes to the BMP signaling pathway. [Date last reviewed: 2019-06-13]
Pathway (FlyBase)
BMP Signaling Pathway Core Components -
The Bone Morphogenetic Protein (BMP) signaling pathway is one of two branches of Transforming Growth Factor-β family signaling in Drosophila. The binding of a BMP family dimer to a heterodimeric serine/threonine kinase receptor complex results in the phosphorylation of Mad, a member of the Smad family. Mad forms a complex with the co-Smad, Med. This complex translocates into the nucleus and regulates the transcription of target genes in concert with other nuclear cofactors. (Adapted from FBrf0236482.)
Gene Group (FlyBase)
TGF-BETA TYPE I RECEPTORS -
The Transforming Growth Factor-β Receptor (TGF-βR) family are transmembrane serine/threonine kinases. They form heterodimeric receptor complexes composed of type I and type II subunits. Upon ligand binding, the constitutively active type II receptor phosphorylates the type I receptor which, in turn, phosphorylates a member of the Smad family. (Adapted from FBrf0236482.)
Phenotypic Description (Red Book; Lindsley and Zimm 1992)
tkv: thick veins
thumb
tkv: thick veins
Edith M. Wallace, unpublished.
Two types of mutants have been described, recessive lethals and visibles (viable as adults ). Some of the recessive lethals die as embryos, lacking dorsal hypoderm (Nusslein-Volhard et al., 1984). The wing veins of the viable mutants are thickened and branched in the region of crossveins, near end of L2, and elsewhere. Sometimes there is a blister near the posterior crossvein in female flies; L4 sometimes shortened, especially in females. Expression more extreme at 19 than at higher temperatures and in females than in males. Some heteroallelic combinations are lethal; others are viable with thick veins and thoracic abnormalities (Szidonya and Reuter, 1988b).
Summary (Interactive Fly)

receptor of Decapentaplegic - Wnt ligands regulate Tkv expression to constrain Dpp activity in the Drosophila ovarian stem cell niche - loss of Neurexin and Neuroligin leads to decreased levels of the BMP co-receptor, Thickveins and the downstream effector phosphorylated Mad at the neuromuscular junction synapses - S6 kinase like inhibits neuromuscular junction growth by downregulating the BMP receptor thickveins

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

Please see the JBrowse view of Dmel\tkv 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 Q9VMT1)

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 supported alternative splices within 5' UTR.

Gene model reviewed during 5.51

Transcript Data
Annotated Transcripts
Name
FlyBase ID
RefSeq ID
Length (nt)
Assoc. CDS (aa)
FBtr0079086
2846
563
FBtr0079088
3129
531
FBtr0079087
2885
575
FBtr0079089
3616
509
Additional Transcript Data and Comments
Reported size (kB)

4.4, 3.3 (northern blot)

Comments
External Data
Crossreferences
Polypeptide Data
Annotated Polypeptides
Name
FlyBase ID
Predicted MW (kDa)
Length (aa)
Theoretical pI
UniProt
RefSeq ID
GenBank
FBpp0078720
62.7
563
6.28
FBpp0078722
59.3
531
6.56
FBpp0078721
64.0
575
5.79
FBpp0078723
57.2
509
7.97
Polypeptides with Identical Sequences

None of the polypeptides share 100% sequence identity.

Additional Polypeptide Data and Comments
Comments

put protein binds BMP2 in concert with tkv,

forming heteromeric receptor complexes in COS1 cell transient assays.

tkv protein expressed in COS1 cells binds dpp protein and BMP2 with high affinity.

External Data
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\tkv 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).

-0.86

Transcript Expression
distribution deduced from reporter
Stage
Tissue/Position (including subcellular localization)
Reference
in situ
Stage
Tissue/Position (including subcellular localization)
Reference
organism

Comment: maternally deposited

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

Comment: reference states 0-12 hr AEL

Additional Descriptive Data

In stage 10B egg chambers, tkv is expressed in a dorsoventral pattern with two lateral patches on both sides of the

dorsal midline.

tkv is expressed along the anterior and posterior sides of the wing pouch; expression is excluded from a wide vertical band perpendicular to the D/V boundary in the middle of the wing pouch. tkv is expressed throughout the presumptive capitellum (haltere pouch).

Expression is observed in the anterior midline glial 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
Marker for
 
Subcellular Localization
CV Term
Evidence
References
inferred from physical interaction with FLYBASE:wit; FB:FBgn0024179
colocalizes_with cytoneme
inferred from direct assay
located_in cytosol
inferred from high throughput direct assay
located_in early endosome
inferred from direct assay
inferred from direct assay
located_in plasma membrane
inferred from high throughput direct assay
inferred from direct assay
located_in presynapse
inferred from direct assay
Expression Deduced from Reporters
High-Throughput Expression Data
Associated Tools

JBrowse - Visual display of RNA-Seq signals

View Dmel\tkv 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) 9-10
  • Stages(s) 11-12
  • Stages(s) 13-16
Alleles, Insertions, Transgenic Constructs, and Aberrations
Classical and Insertion Alleles ( 72 )
For All Classical and Insertion Alleles Show
 
Other relevant insertions
Transgenic Constructs ( 91 )
For All Alleles Carried on Transgenic Constructs Show
Transgenic constructs containing/affecting coding region of tkv
Transgenic constructs containing regulatory region of tkv
Aberrations (Deficiencies and Duplications) ( 58 )
Inferred from experimentation ( 58 )
Inferred from location ( 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
adherens junction & embryonic dorsal trunk, with Scer\GAL4btl.B123
adherens junction & embryonic dorsal trunk, with Scer\GAL4btl.PS
adult head & cuticle | somatic clone
dorsal mesothoracic disc & actin filament | somatic clone
dorsal mesothoracic disc & microtubule | apical | somatic clone
leg & adult cuticle | somatic clone
leg & sex comb | ectopic
scutum & macrochaeta, with Scer\GAL4Act5C.PI
scutum & macrochaeta, with Scer\GAL4hs.PB
scutum & macrochaeta, with Scer\GAL4tsh-Gal4-1
sensory mother cell & dorsal mesothoracic disc, with Scer\GAL4hs.PB
sensory mother cell & dorsal mesothoracic disc, with Scer\GAL4tsh-Gal4-1
visceral mesoderm & parasegment 7
wing & adult cuticle | somatic clone
Orthologs
Human Orthologs (via DIOPT v9.1)
Species\Gene Symbol
Score
Best Score
Best Reverse Score
Alignment
Complementation?
Transgene?
Homo sapiens (Human) (38)
11 of 14
Yes
Yes
1  
8 of 14
No
Yes
7 of 14
No
No
1  
7 of 14
No
No
6 of 14
No
No
3  
6 of 14
No
No
6 of 14
No
No
2 of 14
No
No
1 of 14
No
No
0  
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
4  
1 of 14
No
No
3  
1 of 14
No
No
1  
1 of 14
No
No
1 of 14
No
No
2  
1 of 14
No
No
1 of 14
No
No
3  
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  
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
9  
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
Model Organism Orthologs (via DIOPT v9.1)
Species\Gene Symbol
Score
Best Score
Best Reverse Score
Alignment
Complementation?
Transgene?
Rattus norvegicus (Norway rat) (22)
11 of 14
Yes
Yes
9 of 14
No
Yes
7 of 14
No
No
7 of 14
No
No
6 of 14
No
No
5 of 14
No
No
5 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
Yes
1 of 14
No
No
1 of 14
No
Yes
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
Mus musculus (laboratory mouse) (20)
12 of 14
Yes
Yes
9 of 14
No
Yes
7 of 14
No
No
7 of 14
No
No
6 of 14
No
No
6 of 14
No
No
5 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
Yes
1 of 14
No
No
1 of 14
No
No
1 of 14
No
No
Xenopus tropicalis (Western clawed frog) (24)
7 of 13
Yes
Yes
7 of 13
Yes
Yes
5 of 13
No
No
4 of 13
No
No
3 of 13
No
No
3 of 13
No
No
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
Yes
1 of 13
No
Yes
1 of 13
No
No
1 of 13
No
No
Danio rerio (Zebrafish) (31)
10 of 14
Yes
Yes
10 of 14
Yes
Yes
9 of 14
No
Yes
8 of 14
No
Yes
7 of 14
No
No
7 of 14
No
No
7 of 14
No
No
6 of 14
No
No
6 of 14
No
No
6 of 14
No
No
5 of 14
No
No
2 of 14
No
No
2 of 14
No
No
1 of 14
No
Yes
1 of 14
No
Yes
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
Yes
Caenorhabditis elegans (Nematode, roundworm) (43)
14 of 14
Yes
Yes
4 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
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
Anopheles gambiae (African malaria mosquito) (22)
11 of 12
Yes
Yes
1 of 12
No
No
1 of 12
No
No
Arabidopsis thaliana (thale-cress) (122)
1 of 13
Yes
No
1 of 13
Yes
No
1 of 13
Yes
Yes
1 of 13
Yes
Yes
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
Yes
1 of 13
Yes
Yes
1 of 13
Yes
Yes
1 of 13
Yes
Yes
1 of 13
Yes
Yes
1 of 13
Yes
Yes
1 of 13
Yes
Yes
1 of 13
Yes
Yes
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
Yes
1 of 13
Yes
No
1 of 13
Yes
Yes
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
1 of 13
Yes
Yes
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
1 of 13
Yes
No
1 of 13
Yes
Yes
1 of 13
Yes
No
1 of 13
Yes
No
1 of 13
Yes
No
1 of 13
Yes
Yes
1 of 13
Yes
No
1 of 13
Yes
No
1 of 13
Yes
Yes
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
Yes
1 of 13
Yes
Yes
1 of 13
Yes
Yes
1 of 13
Yes
No
1 of 13
Yes
No
1 of 13
Yes
Yes
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
Yes
1 of 13
Yes
Yes
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
Yes
1 of 13
Yes
Yes
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
1 of 13
Yes
No
1 of 13
Yes
No
1 of 13
Yes
No
1 of 13
Yes
Yes
1 of 13
Yes
No
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Yes
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1 of 13
Yes
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Yes
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Yes
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1 of 13
Yes
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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
Yes
1 of 13
Yes
Yes
1 of 13
Yes
Yes
1 of 13
Yes
No
1 of 13
Yes
No
1 of 13
Yes
Yes
1 of 13
Yes
No
1 of 13
Yes
Yes
1 of 13
Yes
No
1 of 13
Yes
Yes
1 of 13
Yes
No
1 of 13
Yes
No
1 of 13
Yes
No
1 of 13
Yes
No
1 of 13
Yes
Yes
1 of 13
Yes
Yes
1 of 13
Yes
Yes
1 of 13
Yes
Yes
1 of 13
Yes
Yes
Saccharomyces cerevisiae (Brewer's yeast) (1)
1 of 13
Yes
No
Schizosaccharomyces pombe (Fission yeast) (0)
Escherichia coli (enterobacterium) (0)
Other Organism Orthologs (via OrthoDB)
Data provided directly from OrthoDB:tkv. Refer to their site for version information.
Paralogs
Paralogs (via DIOPT v9.1)
Drosophila melanogaster (Fruit fly) (21)
10 of 13
9 of 13
3 of 13
3 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
1 of 13
1 of 13
Human Disease Associations
FlyBase Human Disease Model Reports
Disease Ontology (DO) Annotations
Models Based on Experimental Evidence ( 7 )
Potential Models Based on Orthology ( 5 )
Modifiers Based on Experimental Evidence ( 4 )
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
esyN Network Diagram
Show neighbor-neighbor interactions:
Show/hide secondary interactors 
(data from AllianceMine provided by esyN)
Select Layout:
Legend:
Protein
RNA
Selected Interactor(s)
Other 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
esyN Network Diagram
Show/hide secondary interactors 
(data from AllianceMine provided by esyN)
esyN Network Key:
Suppression
Enhancement
Other 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
suppressible
suppressible
suppressible
suppressible
enhanceable
Starting gene(s)
Interaction type
Interacting gene(s)
Reference
suppressible
suppressible
suppressible
External Data
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)
2L
Recombination map
2-16
Cytogenetic map
Sequence location
FlyBase Computed Cytological Location
Cytogenetic map
Evidence for location
25D1-25D2
Limits computationally determined from genome sequence between P{lacW}l(2)k11206k11206 and P{lacW}tkvk16713&P{lacW}l(2)k01302k01302
Experimentally Determined Cytological Location
Cytogenetic map
Notes
References
25D1-25D2
(determined by in situ hybridisation)
25D-25D
(determined by in situ hybridisation)
Experimentally Determined Recombination Data
Left of (cM)
Right of (cM)
Notes

Maps adjacent to Bsg25D.

Stocks and Reagents
Stocks (58)
Genomic Clones (28)
cDNA Clones (72)
 

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)
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

      The tkv product negatively regulates dac expression in the embryonic head.

      The Ubx and dpp products collaborate to repress the tkv repressor, sbb, in the haltere disc. The resulting increased amounts of tkv receptor decrease dpp mobility in the haltere.

      When dsRNA constructs are made and transiently transfected into S2 cells in RNAi experiments, a whole range of mitotic abnormalities, spindle abnormalities, chromosome abnormalities, chromosome alignment defects and polyploid cells are seen.

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

      One of five genes identified as encoding downstream components of the dpp signalling cascade which is necessary for blocking salivary gland gene activation by Scr in the dorsal region of parasegment 2.

      Mef2 plays a role in the regulation of expression of tkv.

      Loss of function alleles of tkv, put, Mad, Med and shn suppress the CycEJP mutant eye phenotype in combination with dppd-ho.

      dpp signalling negatively regulates tkv expression. The level of receptor influences the effective range of the dpp gradient. High levels of tkv sensitize cells to low levels of dpp and limit the movement of dpp outside the wing pouch.

      dpp/tkv signaling is obligatorily required, while scw/sax signaling is necessary but not sufficient for dorsal patterning in the embryo.

      The th and Iap2 proteins associate with the tkv receptor in vivo.

      tkv has a crucial function in mediating dpp-dependent tin activation and dorsal mesoderm induction.

      vvl is required for the specific expression in the tracheal cells of tkv and rho. tkv acts autonomously in the tracheal cells directing their correct migration.

      Mad protein functions downstream of the serine-threonine kinase activity of the tkv receptor.

      sax and tkv interact with the same developmental pathways required for proper anterior posterior patterning of the wing.

      dpp receptors tkv and put are not required for photoreceptor cell differentiation. tkv and put play a nonessential role in morphogenetic furrow progression, but are required for initiation of the furrow at the posterior margin. tkv and dpp mutant clones reveal a role for dpp in the early growth of the eye imaginal disc. Ectopic activation of the dpp pathway does not lead to ectopic neuronal differentiation.

      dpp receptors put and tkv, or the shn transcription factor, are autonomously required for cell proliferation in the entire developing wing. The dpp signal has to travel several cell diameters from its source in order to reach all cells that require its signal.

      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.

      tkv is essential to establish the lateral trunk branches.

      thv mutations enhance the weak dpp mutations.

      Genetic interactions and the strikingly similar phenotypes in shn and dpp receptors encoded by tkv and put suggest the shn plays a downstream role in dpp signalling.

      put and tkv encode type II and type I receptors, both act in concert to mediate all known dpp signalling processes in the developing midgut.

      The requirements for tkv in dorsal closure, visceral mesoderm and trachea development assign novel functions to dpp or a closely related member of the TGFβ superfamily.

      tkv encodes a dpp receptor. There is at least partial overlap of function of the sax and tkv receptors in vivo.

      Specification of distinct cell fates in response to different concentrations of dpp product may be achieved combinatorially by the sax and tkv receptors. tkv is required for patterning the entire domain of the presumptive embryonic ectoderm normally specified by dpp.

      tkv has been cloned and sequenced, and its expression pattern has been analysed.

      Isolated in a PCR screen for receptor protein serine/threonine kinase candidates.

      Maternal germline clonal analysis reveals tkv is lethal in the germline, results are consistent with the idea that tkv function is required for oogenesis. A reduction of the tkv product maternally results in partially ventralised embryos, the degree of ventralisation increases as the zygotic tkv product is also reduced. Interactions with dorsoventral patterning genes demonstrates tkv plays a role in establishing dorsoventral patterning.

      Mutations in tkv cause thickened veins.

      In the loss-of-function alleles of tkv, N and Dl, thickened veins and occasional plexi are seen, associated with small wings. In the gain-of-function alleles the reciprocal phenotype is seen, associated with large wings. The 'Notch' phenotypic group includes neurogenetic mutations involved in cell communications. Some alleles are embryonic lethal.

      Two types of mutants have been described, recessive lethals and visibles (viable as adults). Some of the recessive lethals die as embryos, lacking dorsal hypoderm (Nusslein-Volhard et al., 1984). The wing veins of the viable mutants are thickened and branched in the region of crossveins, near end of L2 and elsewhere. Sometimes there is a blister near the posterior crossvein in female flies; L4 sometimes shortened, especially in females. Expression more extreme at 19oC than at higher temperatures and in females than in males. Some heteroallelic combinations are lethal; others are viable with thick veins and thoracic abnormalities (Szidonya and Reuter, 1988).

      Relationship to Other Genes
      Source for database merge of
      Additional comments
      Nomenclature History
      Source for database identify of
      Nomenclature comments
      Etymology
      Synonyms and Secondary IDs (34)
      Reported As
      Symbol Synonym
      Atr25D
      Dtfr
      STK-A
      Tkv
      (Eslahi et al., 2024, Kumar et al., 2024, Bertin et al., 2023, Breznak et al., 2023, Matsuda and Affolter, 2023, Ramezani et al., 2023, St Johnston, 2023, Zhang et al., 2023, Bressan and Araujo, 2022, Rass et al., 2022, Rubio-Ferrera et al., 2022, Saha et al., 2022, Vicidomini and Serpe, 2022, Boumard and Bardin, 2021, Finger et al., 2021, Hoshino and Niwa, 2021, Kim et al., 2021, Lodge et al., 2021, Madamanchi et al., 2021, Sharifkhodaei and Auld, 2021, Sidisky et al., 2021, Villa-Fombuena et al., 2021, Zhang et al., 2021, Zhao et al., 2021, Canales Coutiño et al., 2020, Chou et al., 2020, Gou et al., 2020, Jasper, 2020, Kizhedathu et al., 2020, Lan et al., 2020, Lin and Hsu, 2020, Merkle et al., 2020, Pan et al., 2020, Rodriguez-Fernandez et al., 2020, Rushton et al., 2020, Spinner et al., 2020, Texada et al., 2020, Upadhyay et al., 2020, Kim et al., 2019, Lu et al., 2019, Wang et al., 2019, Wang et al., 2019, Akiyama et al., 2018, Chandran et al., 2018, Fan et al., 2018, Follansbee et al., 2017, Li et al., 2017, Martins et al., 2017, Monsivais et al., 2017, Romero-Pozuelo et al., 2017, Song et al., 2017, Upadhyay et al., 2017, Wells et al., 2017, Zhang et al., 2017, Ashe, 2016, Jiang et al., 2016, Mbodj et al., 2016, Quijano et al., 2016, Sharifkhodaei et al., 2016, Urrutia et al., 2016, Yadav et al., 2016, Amoyel and Bach, 2015, Beich-Frandsen et al., 2015, Bier and De Robertis, 2015, Charbonnier et al., 2015, Denes et al., 2015, Fried and Iber, 2015, Hariharan, 2015, Irvine and Harvey, 2015, Lo et al., 2015, Sawala et al., 2015, Umulis and Othmer, 2015, West et al., 2015, Zhou et al., 2015, Aleman et al., 2014, Corrigan et al., 2014, Kornberg and Roy, 2014, Oh et al., 2014, Bausek, 2013, Doumpas et al., 2013, Garcia et al., 2013, Li et al., 2013, Mbodj et al., 2013, Wong et al., 2013, Lim et al., 2012, Raftery and Umulis, 2012, Smith et al., 2012, Ben-Zvi et al., 2011, Eivers et al., 2011, Eliazer and Buszczak, 2011, Erickson, 2011, Harris and Ashe, 2011, Kaneko et al., 2011, Lander et al., 2011, Oh and Irvine, 2011, Schwank et al., 2011, Takemura and Adachi-Yamada, 2011, Wartlick et al., 2011, Ball et al., 2010, Chen and Xu, 2010, Chen et al., 2010, Djiane and Mlodzik, 2010, Higashi-Kovtun et al., 2010, Kim et al., 2010, Umulis et al., 2010, Guo and Wang, 2009, Lander et al., 2009, Martinez et al., 2009, Merino et al., 2009, Akiyama et al., 2008, Estella et al., 2008, Kamiya et al., 2008, Lembong et al., 2008, Miles et al., 2008, Serpe et al., 2008, Yao et al., 2008, Yao et al., 2008, Zeng et al., 2008, Hatton-Ellis et al., 2007, Johnson et al., 2007, O'Keefe et al., 2007, Pistillo and Desplan, 2007, Wang et al., 2007, Xu et al., 2007, Yakoby et al., 2007, Zeng et al., 2007, Bangi and Wharton, 2006, Bokel et al., 2006, Bokel et al., 2006, Collins et al., 2006, Dudu, 2006, Dudu et al., 2006, Gao and Laughon, 2006, Giebel and Wodarz, 2006, Philippakis et al., 2006, Stern, 2006, Umulis et al., 2006, Yao et al., 2006, Stathopoulos and Levine, 2005, Yamashita et al., 2005, Bharathi et al., 2004, Gonzalez-Gaitan, 2003, Jekely and Rorth, 2003, Martin-Castellanos and Edgar, 2002, Bartoszewski et al., 2001, Bhandari and Shashidhara, 2001, Stathakis et al., 2000)
      l(2)25Da
      tkv
      (Avila et al., 2024, Ewen-Campen and Perrimon, 2024, Fischer et al., 2024, Jang et al., 2024, Kubrak et al., 2024, Ridwan et al., 2024, Simon et al., 2024, Vidaurre et al., 2024, Wang et al., 2024, Wen et al., 2024, Yamamoto et al., 2024, Bastin and Eleftherianos, 2023, Furusawa et al., 2023, Hossain et al., 2023, Lassetter et al., 2023, Olivares et al., 2023, Prasad et al., 2023, Titlow et al., 2023, Akiyama et al., 2022, Chen et al., 2022, Colonnetta et al., 2022, Känel et al., 2022, Martin et al., 2022, Merino et al., 2022, Perlegos et al., 2022, Peterson et al., 2022, Romanova-Michaelides et al., 2022, Toddie-Moore et al., 2022, Varga et al., 2022, Zhao et al., 2022, Everetts et al., 2021, Fabian et al., 2021, Gore et al., 2021, Hertenstein et al., 2021, Kramer et al., 2021, Lebo et al., 2021, Lin et al., 2021, Matsuda et al., 2021, Morin-Poulard et al., 2021, Ostalé et al., 2021, Özsoy et al., 2021, Pang et al., 2021, Ruiz-Losada et al., 2021, Saad and Hipfner, 2021, Takemura et al., 2021, Vigano et al., 2021, Yoo et al., 2021, Bajpai and Sinha, 2020, Hinnant et al., 2020, Khan et al., 2020, Ladyzhets et al., 2020, Li et al., 2020, Overton et al., 2020, Port et al., 2020, Robles-Murguia et al., 2020, Stapornwongkul et al., 2020, Sun et al., 2020, Tu et al., 2020, Wei et al., 2020, Zhang and Cai, 2020, Brodskiy et al., 2019, Cai et al., 2019, Chen, 2019, Chen and Zou, 2019, Gui et al., 2019, Kim et al., 2019, Leiblich et al., 2019, Park et al., 2019, Romero-Pozuelo et al., 2019, Story et al., 2019, Svendsen et al., 2019, Whittle and Extavour, 2019, Ameku et al., 2018, Crossman et al., 2018, Eusebio et al., 2018, Flora et al., 2018, Gene Disruption Project members, 2018-, Hoyer et al., 2018, Kang et al., 2018, Ma et al., 2018, Monedero Cobeta et al., 2018, Newcomb et al., 2018, Powers and Srivastava, 2018, Setiawan et al., 2018, Tseng et al., 2018, Wang et al., 2018, Aggarwal et al., 2017, Anderson and Wharton, 2017, Chen et al., 2017, Dahal et al., 2017, Heo et al., 2017, Houtz et al., 2017, Kim et al., 2017, Laugks et al., 2017, Ma et al., 2017, Requena et al., 2017, Salz et al., 2017, Song et al., 2017, Tan et al., 2017, Transgenic RNAi Project members, 2017-, Aggarwal et al., 2016, Clandinin and Owens, 2016-, Deshpande et al., 2016, Djabrayan and Casanova, 2016, Fregoso Lomas et al., 2016, Garaulet et al., 2016, Li et al., 2016, Ma et al., 2016, Moulton and Letsou, 2016, Nakato and Li, 2016, Neto et al., 2016, Norman et al., 2016, Raja et al., 2016, Wang et al., 2016, Apitz and Salecker, 2015, Aradska et al., 2015, Ayyaz et al., 2015, Ayyub et al., 2015, Berndt et al., 2015, Bosch et al., 2015, Carrillo et al., 2015, de Taffin et al., 2015, Dolezal et al., 2015, Inaba et al., 2015, Luo et al., 2015, Matsuda et al., 2015, Richard and Hoch, 2015, Simon and Guerrero, 2015, Smendziuk et al., 2015, Svendsen et al., 2015, Zhao et al., 2015, Beira et al., 2014, Deshpande et al., 2014, Driver and Ohlstein, 2014, Esteves et al., 2014, Johnston, 2014, Kang et al., 2014, Roy et al., 2014, Sopko et al., 2014, Sulkowski et al., 2014, Tian and Jiang, 2014, Wong et al., 2014, Wylie et al., 2014, Beckwith et al., 2013, Bindewald and Shapiro, 2013, Chauhan et al., 2013, Combs and Eisen, 2013, Curtis et al., 2013, Guo et al., 2013, Harbison et al., 2013, Hevia and de Celis, 2013, Khan et al., 2013, Kwon et al., 2013, Li et al., 2013, Li et al., 2013, Marinho et al., 2013, Nahm et al., 2013, Organista and De Celis, 2013, Repiso et al., 2013, Saunders et al., 2013, Schaub and Frasch, 2013, Schneider et al., 2013, Shi et al., 2013, Webber et al., 2013, Yu et al., 2013, Yu et al., 2013, Chen et al., 2012, Dahal et al., 2012, Hadar et al., 2012, Japanese National Institute of Genetics, 2012.5.21, Lada et al., 2012, Le and Wharton, 2012, Lu et al., 2012, Niepielko et al., 2012, Pennetier et al., 2012, Peterson et al., 2012, Stultz et al., 2012, Sun et al., 2012, Takaesu et al., 2012, Umulis and Othmer, 2012, Ziv et al., 2012, Cherbas et al., 2011, Chung et al., 2011, Dutko and Mullins, 2011, Dworkin et al., 2011, Galindo et al., 2011, Giorgianni and Mann, 2011, Johnson et al., 2011, Layalle et al., 2011, Liu et al., 2011, Michel et al., 2011, Nicholson et al., 2011, Niepielko et al., 2011, Ogiso et al., 2011, Pilgram et al., 2011, Quijano et al., 2011, Rodal et al., 2011, Rodriguez, 2011, Roy et al., 2011, Roy et al., 2011, Schwank et al., 2011, Slattery et al., 2011, Szuperák et al., 2011, Veverytsa and Allan, 2011, Vlachos and Harden, 2011, Yang and Su, 2011, Yuva-Aydemir et al., 2011, Blanchard et al., 2010, Campos et al., 2010, Ellis et al., 2010, Firth et al., 2010, Liu et al., 2010, Lopes and Casares, 2010, Mathur et al., 2010, Mathur et al., 2010, Ninov et al., 2010, Rhiner et al., 2010, Salzer et al., 2010, Shen et al., 2010, Terriente-Félix et al., 2010, Vuilleumier et al., 2010, Wang and Ward, 2010, Weiss et al., 2010, Xia et al., 2010, Yagi et al., 2010, Cai and Laughon, 2009, Debat et al., 2009, Evans et al., 2009, Fichelson et al., 2009, Firth and Baker, 2009, Fontenele et al., 2009, Jaramillo et al., 2009, Lembong et al., 2009, Liu et al., 2009, McKay et al., 2009, Nienhaus et al., 2009, Rhiner et al., 2009, Song et al., 2009, Twombly et al., 2009, Yan et al., 2009, Ziv et al., 2009, Akiyama et al., 2008, Brás-Pereira and Casares, 2008, Casas-Tinto et al., 2008, Christensen et al., 2008.12.28, Christoforou et al., 2008, Dougherty et al., 2008, Estella and Mann, 2008, Estella et al., 2008, Fromental-Ramain et al., 2008, Haussmann et al., 2008, Jiang et al., 2008, Kucherenko et al., 2008, Lembong et al., 2008, Melicharek et al., 2008, Miguel-Aliaga et al., 2008, Ng, 2008, O'Connor-Giles et al., 2008, Okamura et al., 2008, Ratnaparkhi et al., 2008, Rogulja et al., 2008, Schlichting and Dahmann, 2008, Schwank et al., 2008, Seppa et al., 2008, Shen et al., 2008, Terriente et al., 2008, Yakoby et al., 2008, Yakoby et al., 2008, Yakoby et al., 2008, Yasugi et al., 2008, Zahedi et al., 2008, Zartman et al., 2008, Akdemir et al., 2007, Barrio et al., 2007, Beltran et al., 2007, Cordero et al., 2007, Crickmore and Mann, 2007, de Navascués and Modolell, 2007, Dietzl et al., 2007, Escudero and Freeman, 2007, Escudero et al., 2007, Fernández et al., 2007, Hatton-Ellis et al., 2007, Letizia et al., 2007, Li et al., 2007, Manjon et al., 2007, Peng et al., 2007, Ramel et al., 2007, Shravage et al., 2007, Terriente and de Celis, 2007, Tyler and Baker, 2007, Umemori et al., 2007, Wada et al., 2007, Wang et al., 2007, Anderson et al., 2006, Bernardi et al., 2006, Bolivar et al., 2006, Carneiro et al., 2006, Crickmore and Mann, 2006, Crickmore and Mann, 2006, de Navas et al., 2006, Dworkin and Gibson, 2006, Dworkin and Gibson., 2006, Estrada et al., 2006, Joshi et al., 2006, Kim et al., 2006, Layden et al., 2006, Li and Li, 2006, Mohit et al., 2006, Molnar and de Celis, 2006, Parker et al., 2006, Singh et al., 2006, Takaesu et al., 2006, Tsuda et al., 2006, Umetsu et al., 2006, Vrailas and Moses, 2006, Vrailas et al., 2006, Wehn and Campbell, 2006, Baonza and Freeman, 2005, Eaton and Davis, 2005, Gao et al., 2005, Jordan et al., 2005, Marques, 2005, Rogulja and Irvine, 2005, Scuderi and Letsou, 2005, Sotillos and De Celis, 2005, Thompson et al., 2005, Xie et al., 2005, Baines, 2004, Bunt and Hime, 2004, Pyrowolakis et al., 2004, Yang et al., 2004, Rawson et al., 2003, Gim et al., 2001, Kyoda et al., 2000, Riesgo-Escovar and Hafen, 1997, Twombly et al., 1996, Nellen et al., 1994)
      Name Synonyms
      Activin-A-receptor-25D
      BMP receptor kinase 25D
      DPP receptor
      Thick-veins
      Secondary FlyBase IDs
      • FBgn0010572
      Datasets (0)
      Study focus (0)
      Experimental Role
      Project
      Project Type
      Title
      Study result (0)
      Result
      Result Type
      Title
      External Crossreferences and Linkouts ( 89 )
      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.
      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/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
      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
      FlyMet - A comprehensive tissue-specific metabolomics resource for Drosophila.
      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 (1,139)