CD117

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V-kit Hardy-Zuckerman 4 feline sarcoma viral oncogene homolog
Image:PBB Protein KIT image.jpg
PDB rendering based on 1pkg.
Available structures:
For the file format that describes the 3D structures of molecules found in the Protein Data Bank, see Protein Data Bank (file format).

The Protein Data Bank (PDB) is a repository for 3-D structural data of proteins and nucleic acids. These data, typically obtained by X-ray crystallography or NMR spectroscopy, are submitted by biologists and biochemists from around the world, are released into the public domain, and can be accessed for free.

History

Founded in 1971 by Drs. Edgar Meyer and Walter Hamilton Brookhaven National Laboratory, management of the Protein Data Bank was transferred in 1998 to members of the Research Collaboratory for Structural Bioinformatics (RCSB).

The Worldwide Protein Data Bank (wwPDB) consists of organizations that act as deposition, data processing and distribution centers for PDB data. The founding members are RCSB PDB (USA), MSD-EBI (Europe) and PDBj (Japan). The BMRB (USA) group joined the wwPDB in 2006. The mission of the wwPDB is to maintain a single Protein Data Bank Archive of macromolecular structural data that is freely and publicly available to the global community.

The PDB is a key resource in structural biology and is critical to more recent work in structural genomics.

Countless derived databases and projects have been developed to integrate and classify the PDB in terms of protein structure, protein function and protein evolution.

Growth

When the PDB was originally founded it contained just 7 protein structures. Since then it has undergone an approximate exponential growth in the number of structures, which does not show any sign of falling off.

The growth rate of the PDB has been the subject of fairly extensive analysis.

Contents

As of 26 September, 2006, the database contained 39,051 released atomic coordinate entries (or "structures"), 35,767 of that proteins, the rest being nucleic acids, nucleic acid-protein complexes, and a few other molecules. About 5,000 new structures are released each year. Data are stored in the mmCIF format specifically developed for the purpose.

Note that the database stores information about the exact location of all atoms in a large biomolecule (although, usually without the hydrogen atoms, as their positions are more of a statistical estimate); if one is only interested in sequence data, i.e. the list of amino acids making up a particular protein or the list of nucleotides making up a particular nucleic acid, the much larger databases from Swiss-Prot and the International Nucleotide Sequence Database Collaboration should be used.

Statistics

As of 11 September, 2007, the "PDB Holdings List" at RCSB reported the following statistics:

Proteins Nucleic Acids Protein/NA complexes Other Total
X-ray diffraction 36223 983 1684 24 38914
NMR 5665 781 134 7 6587
Electron microscopy 105 10 38 0 153
Other 80 4 4 2 90
Total 42073 1778 1860 33 45744

Note that theoretical models are no longer accepted in the PDB.

22461 structures in the PDB have a structure factor file. 3138 structures in the PDB have an NMR restraint file.

The current breakdown of holdings is updated weekly.

File format

Through the years the PDB file format has undergone many, many changes and revisions. Its original format was dictated by the width of computer punch cards.

This legacy format has caused many problems with the format, and consequently there are 'clean-up' projects;

The MMDB uses ASN.1 (and an XML conversion of this format). The wwPDB members RCSB PDB, MSD-EBI, and PDBj are working together to make the data uniform across the archive. Some believe this to be desirable; others argue that, without a universal repository of information (i.e., a common dictionary), it is not possible to draw comparisons.

Each structure published in PDB receives a four-character alphanumeric identifier, its PDB ID. This should not be used as an identifier for biomolecules, since often several structures for the same molecule (in different environments or conformations) are contained in PDB with different PDB IDs.

If a biologist submits structure data for a protein or nucleic acid, wwPDB staff reviews and annotates the entry. The data are then automatically checked for plausibility. The source code for this validation software has been released for free. The main data base accepts only experimentally derived structures, and not theoretically predicted ones (see protein structure prediction).

Various funding agencies and scientific journals now require scientists to submit their structure data to PDB.

Viewing the data

The structural data can be used to visualize the biomolecules with appropriate software, such as VMD, RasMol, PyMOL, Jmol, MDL Chime, QuteMol, web browser VRML plugin or any web-based software designed to visualize and analyse the protein structures such as STING. A recent desktop software addition is Sirius. The RCSB PDB website also contains resources for education, structural genomics, and related software.

References

Printed

  • H.M. Berman, K. Henrick, H. Nakamura (2003): Announcing the worldwide Protein Data Bank. Nature Structural Biology 10 (12), p. 980 PMID 14634627.
  • H.M. Berman, J. Westbrook, Z. Feng, G. Gilliland, T.N. Bhat, H. Weissig, I.N. Shindyalov, P.E. Bourne: The Protein Data Bank. Nucleic Acids Research, 28 pp. 235-242 (2000). PMID 10592235
  • Bernstein FC, Koetzle TF, Williams GJ, Meyer Jr EF, Brice MD, Rodgers JR, Kennard O, Shimanouchi T, Tasumi M. The Protein Data Bank: a computer-based archival file for macromolecular structures. J Mol Biol 1977;112:535-542. PMID 875032.
  • E.F. Meyer “The First Years of the Protein Data Bank“, Protein Science 6:1591-1597 (1997)
  • Sussman, JL, Lin, D, Jiang, J, Manning, NO, Prilusky, J, Ritter, O & Abola, EE. Protein data bank (PDB): a database of 3D structural information of biological macromolecules. Acta Cryst 1998; D54:1078-1084. PMID 10089483.

Online

Other external links

Links to enzyme database data

  • [1] The best mapping is provided by Kim Henrick's group at EBI as part of the MSD SIFTS initiative.
  • [2] PDB provide a mapping on their beta site, but it is at the whole PDB level not chain level.
  • [3] Search at BRENDA enzyme database portal.
  • [4] PDBSProtEC:

Molecular graphic visualisation tools

The Protein Data Bank (PDB) is a repository for 3-D structural data of proteins and nucleic acids. These data, typically obtained by X-ray crystallography or NMR spectroscopy, are submitted by biologists and biochemists from around the world, are released into the public domain, and can be accessed for free.

History

Founded in 1971 by Drs. Edgar Meyer and Walter Hamilton Brookhaven National Laboratory, management of the Protein Data Bank was transferred in 1998 to members of the Research Collaboratory for Structural Bioinformatics (RCSB).

The Worldwide Protein Data Bank (wwPDB) consists of organizations that act as deposition, data processing and distribution centers for PDB data. The founding members are RCSB PDB (USA), MSD-EBI (Europe) and PDBj (Japan). The BMRB (USA) group joined the wwPDB in 2006. The mission of the wwPDB is to maintain a single Protein Data Bank Archive of macromolecular structural data that is freely and publicly available to the global community.

The PDB is a key resource in structural biology and is critical to more recent work in structural genomics.

Countless derived databases and projects have been developed to integrate and classify the PDB in terms of protein structure, protein function and protein evolution.

Growth

When the PDB was originally founded it contained just 7 protein structures. Since then it has undergone an approximate exponential growth in the number of structures, which does not show any sign of falling off.

The growth rate of the PDB has been the subject of fairly extensive analysis.

Contents

As of 26 September, 2006, the database contained 39,051 released atomic coordinate entries (or "structures"), 35,767 of that proteins, the rest being nucleic acids, nucleic acid-protein complexes, and a few other molecules. About 5,000 new structures are released each year. Data are stored in the mmCIF format specifically developed for the purpose.

Note that the database stores information about the exact location of all atoms in a large biomolecule (although, usually without the hydrogen atoms, as their positions are more of a statistical estimate); if one is only interested in sequence data, i.e. the list of amino acids making up a particular protein or the list of nucleotides making up a particular nucleic acid, the much larger databases from Swiss-Prot and the International Nucleotide Sequence Database Collaboration should be used.

Statistics

As of 11 September, 2007, the "PDB Holdings List" at RCSB reported the following statistics:

Proteins Nucleic Acids Protein/NA complexes Other Total
X-ray diffraction 36223 983 1684 24 38914
NMR 5665 781 134 7 6587
Electron microscopy 105 10 38 0 153
Other 80 4 4 2 90
Total 42073 1778 1860 33 45744

Note that theoretical models are no longer accepted in the PDB.

22461 structures in the PDB have a structure factor file. 3138 structures in the PDB have an NMR restraint file.

The current breakdown of holdings is updated weekly.

File format

Through the years the PDB file format has undergone many, many changes and revisions. Its original format was dictated by the width of computer punch cards.

This legacy format has caused many problems with the format, and consequently there are 'clean-up' projects;

The MMDB uses ASN.1 (and an XML conversion of this format). The wwPDB members RCSB PDB, MSD-EBI, and PDBj are working together to make the data uniform across the archive. Some believe this to be desirable; others argue that, without a universal repository of information (i.e., a common dictionary), it is not possible to draw comparisons.

Each structure published in PDB receives a four-character alphanumeric identifier, its PDB ID. This should not be used as an identifier for biomolecules, since often several structures for the same molecule (in different environments or conformations) are contained in PDB with different PDB IDs.

If a biologist submits structure data for a protein or nucleic acid, wwPDB staff reviews and annotates the entry. The data are then automatically checked for plausibility. The source code for this validation software has been released for free. The main data base accepts only experimentally derived structures, and not theoretically predicted ones (see protein structure prediction).

Various funding agencies and scientific journals now require scientists to submit their structure data to PDB.

Viewing the data

The structural data can be used to visualize the biomolecules with appropriate software, such as VMD, RasMol, PyMOL, Jmol, MDL Chime, QuteMol, web browser VRML plugin or any web-based software designed to visualize and analyse the protein structures such as STING. A recent desktop software addition is Sirius. The RCSB PDB website also contains resources for education, structural genomics, and related software.

References

Printed

  • H.M. Berman, K. Henrick, H. Nakamura (2003): Announcing the worldwide Protein Data Bank. Nature Structural Biology 10 (12), p. 980 PMID 14634627.
  • H.M. Berman, J. Westbrook, Z. Feng, G. Gilliland, T.N. Bhat, H. Weissig, I.N. Shindyalov, P.E. Bourne: The Protein Data Bank. Nucleic Acids Research, 28 pp. 235-242 (2000). PMID 10592235
  • Bernstein FC, Koetzle TF, Williams GJ, Meyer Jr EF, Brice MD, Rodgers JR, Kennard O, Shimanouchi T, Tasumi M. The Protein Data Bank: a computer-based archival file for macromolecular structures. J Mol Biol 1977;112:535-542. PMID 875032.
  • E.F. Meyer “The First Years of the Protein Data Bank“, Protein Science 6:1591-1597 (1997)
  • Sussman, JL, Lin, D, Jiang, J, Manning, NO, Prilusky, J, Ritter, O & Abola, EE. Protein data bank (PDB): a database of 3D structural information of biological macromolecules. Acta Cryst 1998; D54:1078-1084. PMID 10089483.

Online

Other external links

Links to enzyme database data

  • [5] The best mapping is provided by Kim Henrick's group at EBI as part of the MSD SIFTS initiative.
  • [6] PDB provide a mapping on their beta site, but it is at the whole PDB level not chain level.
  • [7] Search at BRENDA enzyme database portal.
  • [8] PDBSProtEC:

Molecular graphic visualisation tools

The Protein Data Bank (PDB) is a repository for 3-D structural data of proteins and nucleic acids. These data, typically obtained by X-ray crystallography or NMR spectroscopy, are submitted by biologists and biochemists from around the world, are released into the public domain, and can be accessed for free.

History

Founded in 1971 by Drs. Edgar Meyer and Walter Hamilton Brookhaven National Laboratory, management of the Protein Data Bank was transferred in 1998 to members of the Research Collaboratory for Structural Bioinformatics (RCSB).

The Worldwide Protein Data Bank (wwPDB) consists of organizations that act as deposition, data processing and distribution centers for PDB data. The founding members are RCSB PDB (USA), MSD-EBI (Europe) and PDBj (Japan). The BMRB (USA) group joined the wwPDB in 2006. The mission of the wwPDB is to maintain a single Protein Data Bank Archive of macromolecular structural data that is freely and publicly available to the global community.

The PDB is a key resource in structural biology and is critical to more recent work in structural genomics.

Countless derived databases and projects have been developed to integrate and classify the PDB in terms of protein structure, protein function and protein evolution.

Growth

When the PDB was originally founded it contained just 7 protein structures. Since then it has undergone an approximate exponential growth in the number of structures, which does not show any sign of falling off.

The growth rate of the PDB has been the subject of fairly extensive analysis.

Contents

As of 26 September, 2006, the database contained 39,051 released atomic coordinate entries (or "structures"), 35,767 of that proteins, the rest being nucleic acids, nucleic acid-protein complexes, and a few other molecules. About 5,000 new structures are released each year. Data are stored in the mmCIF format specifically developed for the purpose.

Note that the database stores information about the exact location of all atoms in a large biomolecule (although, usually without the hydrogen atoms, as their positions are more of a statistical estimate); if one is only interested in sequence data, i.e. the list of amino acids making up a particular protein or the list of nucleotides making up a particular nucleic acid, the much larger databases from Swiss-Prot and the International Nucleotide Sequence Database Collaboration should be used.

Statistics

As of 11 September, 2007, the "PDB Holdings List" at RCSB reported the following statistics:

Proteins Nucleic Acids Protein/NA complexes Other Total
X-ray diffraction 36223 983 1684 24 38914
NMR 5665 781 134 7 6587
Electron microscopy 105 10 38 0 153
Other 80 4 4 2 90
Total 42073 1778 1860 33 45744

Note that theoretical models are no longer accepted in the PDB.

22461 structures in the PDB have a structure factor file. 3138 structures in the PDB have an NMR restraint file.

The current breakdown of holdings is updated weekly.

File format

Through the years the PDB file format has undergone many, many changes and revisions. Its original format was dictated by the width of computer punch cards.

This legacy format has caused many problems with the format, and consequently there are 'clean-up' projects;

The MMDB uses ASN.1 (and an XML conversion of this format). The wwPDB members RCSB PDB, MSD-EBI, and PDBj are working together to make the data uniform across the archive. Some believe this to be desirable; others argue that, without a universal repository of information (i.e., a common dictionary), it is not possible to draw comparisons.

Each structure published in PDB receives a four-character alphanumeric identifier, its PDB ID. This should not be used as an identifier for biomolecules, since often several structures for the same molecule (in different environments or conformations) are contained in PDB with different PDB IDs.

If a biologist submits structure data for a protein or nucleic acid, wwPDB staff reviews and annotates the entry. The data are then automatically checked for plausibility. The source code for this validation software has been released for free. The main data base accepts only experimentally derived structures, and not theoretically predicted ones (see protein structure prediction).

Various funding agencies and scientific journals now require scientists to submit their structure data to PDB.

Viewing the data

The structural data can be used to visualize the biomolecules with appropriate software, such as VMD, RasMol, PyMOL, Jmol, MDL Chime, QuteMol, web browser VRML plugin or any web-based software designed to visualize and analyse the protein structures such as STING. A recent desktop software addition is Sirius. The RCSB PDB website also contains resources for education, structural genomics, and related software.

References

Printed

  • H.M. Berman, K. Henrick, H. Nakamura (2003): Announcing the worldwide Protein Data Bank. Nature Structural Biology 10 (12), p. 980 PMID 14634627.
  • H.M. Berman, J. Westbrook, Z. Feng, G. Gilliland, T.N. Bhat, H. Weissig, I.N. Shindyalov, P.E. Bourne: The Protein Data Bank. Nucleic Acids Research, 28 pp. 235-242 (2000). PMID 10592235
  • Bernstein FC, Koetzle TF, Williams GJ, Meyer Jr EF, Brice MD, Rodgers JR, Kennard O, Shimanouchi T, Tasumi M. The Protein Data Bank: a computer-based archival file for macromolecular structures. J Mol Biol 1977;112:535-542. PMID 875032.
  • E.F. Meyer “The First Years of the Protein Data Bank“, Protein Science 6:1591-1597 (1997)
  • Sussman, JL, Lin, D, Jiang, J, Manning, NO, Prilusky, J, Ritter, O & Abola, EE. Protein data bank (PDB): a database of 3D structural information of biological macromolecules. Acta Cryst 1998; D54:1078-1084. PMID 10089483.

Online

Other external links

Links to enzyme database data

  • [9] The best mapping is provided by Kim Henrick's group at EBI as part of the MSD SIFTS initiative.
  • [10] PDB provide a mapping on their beta site, but it is at the whole PDB level not chain level.
  • [11] Search at BRENDA enzyme database portal.
  • [12] PDBSProtEC:

Molecular graphic visualisation tools

Identifiers
Symbol(s) KIT; C-Kit; CD117; SCFR
External IDs OMIM: 164920 MGI: 96677 Homologene: 187
Orthologs
Human Mouse
Entrez 3815 16590
Ensembl na ENSMUSG00000005672
Uniprot na Q3ULJ6
Refseq NM_000222 (mRNA)
NP_000213 (protein) 		NM_021099 (mRNA)
NP_066922 (protein)
Location na Chr 5: 75.86 - 75.94 Mb
Pubmed search [13] [14]

CD117, also called KIT or C-kit receptor, is a cytokine receptor expressed on the surface of hematopoietic stem cells as well as other cell types. This receptor binds to stem cell factor (a substance that causes certain types of cells to grow). Altered forms of this receptor may be associated with some types of cancer.[1]


This gene encodes the human homolog of the proto-oncogene c-kit. C-kit was first identified as the cellular homolog of the feline sarcoma viral oncogene v-kit. This protein is a type 3 transmembrane receptor for MGF (mast cell growth factor, also known as stem cell factor). Mutations in this gene are associated with gastrointestinal stromal tumors, mast cell disease, acute myelogenous lukemia, and piebaldism. Multiple transcript variants encoding different isoforms have been found for this gene.[1]


Cell Surface Marker

Cluster of differentiation (CD) molecules are markers on the cell surface, as recognized by specific sets of antibodies, used to identify the cell type, stage of differentiation and activity of a cell. CD117 is an important cell surface marker used to identify certain types of hematopoietic (blood) progenitors in the bone marrow. Specifically hematopoietic stem cells (HSC), multipotent progenitors (MPP), and common myeloid progenitors (CMP) express high levels of CD117. Common lymphoid progenitors (CLP) expresses low surface levels of CD117.

CD117 also identifies the earliest thymocyte progenitors in the thymus. Specifically early T lineage progenitors (ETP/DN1) and DN2 thymocytes express high levels of c-Kit.

Additionally mast cells, melanocytes in the skin, and interstitial cells of Cajal in the digestive tract express CD117.

Ligand

CD117 is the receptor for the cytokine stem cell factor (SCF), also known as "steel factor" or "c-kit ligand". SCF exists in two forms, cell surface bound SCF and soluble (or free) SCF.

Function

CD117 is a receptor tyrosine kinase type III. When this receptor binds to SCF it forms a dimer which activates signaling through second messengers. Signaling through CD117 plays a role in cell survival, proliferation, and differentiation.

Mobilization

Hematopoietic progenitor cells are normally present in the blood at low levels. Mobilization is the process by which progenitors are made to migrate from the bone marrow into the bloodstream, thus increasing their numbers in the blood. Mobilization is used clinically as a source of hematopoietic stem cells for hematopoietic stem cell transplantation (HSCT). Signaling through CD117 has been implicated in mobilization. Currently, G-CSF is the main drug used for mobilization. G-CSF indirectly activates CD117. Direct CD117 agonists are currently being developed as mobilization agents.

Role in cancer

CD117 is a proto-oncogene, meaning that overexpression or mutations of this protein can lead to cancer.[1] Seminomas, a subtype of testicular germ cell tumors, frequently have activating mutations in exon 17 of CD117. In addition, the gene encoding CD117 is frequently overexpressed and amplified in this tumour type, most commonly occurring as a single gene amplicon.[1] Mutations of CD117 have also been implicated in leukemia, a cancer of hematopoietic progenitors, and gastrointestinal stromal tumors (GISTs). The efficacy of imatinib, a CD117 inhibitor, is determined by the mutation status of CD117.

See also

References

Further reading

  • Linnekin D (2000). "Early signaling pathways activated by c-Kit in hematopoietic cells.". Int. J. Biochem. Cell Biol. 31 (10): 1053-74. PMID 10582339.
  • Canonico B, Felici C, Papa S (2001). "CD117.". J. Biol. Regul. Homeost. Agents 15 (1): 90-4. PMID 11388751.
  • Gupta R, Bain BJ, Knight CL (2002). "Cytogenetic and molecular genetic abnormalities in systemic mastocytosis.". Acta Haematol. 107 (2): 123-8. PMID 11919394.
  • Valent P, Ghannadan M, Hauswirth AW, et al. (2003). "Signal transduction-associated and cell activation-linked antigens expressed in human mast cells.". Int. J. Hematol. 75 (4): 357-62. PMID 12041664.
  • Sandberg AA, Bridge JA (2002). "Updates on the cytogenetics and molecular genetics of bone and soft tissue tumors. gastrointestinal stromal tumors.". Cancer Genet. Cytogenet. 135 (1): 1-22. PMID 12072198.
  • Kitamura Y, Hirotab S (2005). "Kit as a human oncogenic tyrosine kinase.". Cell. Mol. Life Sci. 61 (23): 2924-31. doi:10.1007/s00018-004-4273-y. PMID 15583854.
  • Larizza L, Magnani I, Beghini A (2005). "The Kasumi-1 cell line: a t(8;21)-kit mutant model for acute myeloid leukemia.". Leuk. Lymphoma 46 (2): 247-55. doi:10.1080/10428190400007565. PMID 15621809.
  • Miettinen M, Lasota J (2006). "KIT (CD117): a review on expression in normal and neoplastic tissues, and mutations and their clinicopathologic correlation.". Appl. Immunohistochem. Mol. Morphol. 13 (3): 205-20. PMID 16082245.
  • Lasota J, Miettinen M (2007). "KIT and PDGFRA mutations in gastrointestinal stromal tumors (GISTs).". Semin Diagn Pathol 23 (2): 91-102. PMID 17193822.
  • Patnaik MM, Tefferi A, Pardanani A (2007). "Kit: molecule of interest for the diagnosis and treatment of mastocytosis and other neoplastic disorders.". Current cancer drug targets 7 (5): 492-503. PMID 17691909.
  • Giebel LB, Strunk KM, Holmes SA, Spritz RA (1992). "Organization and nucleotide sequence of the human KIT (mast/stem cell growth factor receptor) proto-oncogene.". Oncogene 7 (11): 2207-17. PMID 1279499.
  • Spritz RA, Droetto S, Fukushima Y (1992). "Deletion of the KIT and PDGFRA genes in a patient with piebaldism.". Am. J. Med. Genet. 44 (4): 492-5. doi:10.1002/ajmg.1320440422. PMID 1279971.
  • Spritz RA, Giebel LB, Holmes SA (1992). "Dominant negative and loss of function mutations of the c-kit (mast/stem cell growth factor receptor) proto-oncogene in human piebaldism.". Am. J. Hum. Genet. 50 (2): 261-9. PMID 1370874.
  • Duronio V, Welham MJ, Abraham S, et al. (1992). "p21ras activation via hemopoietin receptors and c-kit requires tyrosine kinase activity but not tyrosine phosphorylation of p21ras GTPase-activating protein.". Proc. Natl. Acad. Sci. U.S.A. 89 (5): 1587-91. PMID 1371879.
  • André C, Martin E, Cornu F, et al. (1992). "Genomic organization of the human c-kit gene: evolution of the receptor tyrosine kinase subclass III.". Oncogene 7 (4): 685-91. PMID 1373482.
  • Lev S, Yarden Y, Givol D (1992). "A recombinant ectodomain of the receptor for the stem cell factor (SCF) retains ligand-induced receptor dimerization and antagonizes SCF-stimulated cellular responses.". J. Biol. Chem. 267 (15): 10866-73. PMID 1375232.
  • Fleischman RA (1992). "Human piebald trait resulting from a dominant negative mutant allele of the c-kit membrane receptor gene.". J. Clin. Invest. 89 (6): 1713-7. PMID 1376329.
  • Vandenbark GR, deCastro CM, Taylor H, et al. (1992). "Cloning and structural analysis of the human c-kit gene.". Oncogene 7 (7): 1259-66. PMID 1377810.
  • Alai M, Mui AL, Cutler RL, et al. (1992). "Steel factor stimulates the tyrosine phosphorylation of the proto-oncogene product, p95vav, in human hemopoietic cells.". J. Biol. Chem. 267 (25): 18021-5. PMID 1381360.
  • Ashman LK, Cambareri AC, To LB, et al. (1991). "Expression of the YB5.B8 antigen (c-kit proto-oncogene product) in normal human bone marrow.". Blood 78 (1): 30-7. PMID 1712644.

External links

v • d • e
Proteins: clusters of differentiation (see also list of human clusters of differentiation)
1-50CD1 (CD1a-c, CD1d) - CD2 - CD3 - CD4 - CD5 - CD8 - CD9 - CD10 - CD11 (CD11a, CD11b, CD11c) - CD13 - CD14 - CD15 - CD16 - CD18 - CD19 - CD20 - CD21 - CD22 - CD23 - CD24 - CD25 - CD26 - CD27 - CD28 - CD29 - CD30 - CD31 - CD32 - CD33 - CD34 - CD35 - CD36 - CD37 -CD38 - CD40 - CD43 - CD44 - CD45 - CD46 - CD49 (CD49a, CD49b, CD49c, CD49d)
51-100CD52 - CD53 - CD54 - CD55 - CD56 - CD58 - CD59 - CD61 - CD62 (CD62E, CD62L, CD62P) - CD63 - CD64 - CD66e - CD68 - CD70 - CD71 - CD72 - CD79 - CD80 - CD81 - CD82 - CD83 - CD86 - CD88 - CD89 - CD90 - CD94 - CD95 - CD97 - CD98
101-350CD103 - CD106 - CD114 - CD116 - CD117 - CD118 - CD120 - CD122 - CD130 - CD131 - CD132 - CD133 - CD134 - CD135 - CD137 - CD138 - CD141 - CD142 - CD143 - CD146 - CD147 - CD151 - CD152 - CD153 - CD154 - CD155 - CD162 - CD164 - CD169 - CD184 - CD206 - CD209 - CD257 - CD278 - CD281 - CD282 - CD283 - CD304
v • d • e
Receptors: growth factor receptors
Neurotrophin receptorsLow affinity nerve growth factor receptor - high affinity (TrkA, TrkB, TrkC)
Somatomedin receptorInsulin-like growth factor 1 receptor - Insulin-like growth factor 2 receptor
OtherActivin receptor (Type 1, Type 2) - Bone morphogenetic protein receptors - C-MET - CD117 - Erythropoietin receptor - Epidermal growth factor receptor - Fibroblast growth factor receptor - Platelet-derived growth factor receptor - TGF beta receptors - VEGF receptors (1, 2, 3)
v • d • e
Transmembrane receptors: immune receptors
Cytokine receptorType I: interleukin (IL-2, IL-3) - CSF (Erythropoietin, GM-CSF, G-CSF) - Glycoprotein 130/Oncostatin M - Leukemia inhibitory factor - common subunits (Common gamma chain, CSF2RB)