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A '''gene signature''' is a group of [[gene]]s in a [[Cell (biology)|cell]] whose combined [[Gene expression|expression]] pattern<ref>Itadani H, Mizuarai S, Kotani H. Can [[systems biology]] understand pathway activation? [[Gene expression]] signatures as surrogate markers for understanding the complexity of pathway activation. Curr Genomics. 2008 Aug;9(5):349-60.{{PMID|19517027}}</ref> is uniquely characteristic of a biological [[phenotype]] or medical condition.<ref>Liu J, Campen A, Huang S, Peng SB, Ye X, Palakal M, Dunker AK, Xia Y, Li S. "Identification of a gene signature in [[cell cycle]] pathway for [[breast cancer]] prognosis using [[gene expression profiling]] data. ''BMC Med Genomics'' 2008 Sep 11;1:39. {{PMID|18786252}}</ref> The phenotypes that may theoretically be defined by a gene expression signature range from those that are used to differentiate between different subtypes of a disease, those that predict the survival or prognosis of an individual with a disease, to those that predict activation of a particular [[Biological pathway|pathway]]. Ideally, gene signatures can be used to select a group of patients<ref>Wouters BJ, Löwenberg B, Erpelinck-Verschueren CA, van Putten WL, Valk PJ, Delwel R. "Double CEBPA mutations, but not single CEBPA mutations, define a subgroup of [[acute myeloid leukemia]] with a distinctive gene expression profile that is uniquely associated with a favorable outcome. ''Blood'' 2009 Mar 26;113(13):3088-91. {{PMID|19171880}}</ref> for whom a particular treatment will be effective.<ref>Hassane DC, Guzman ML, Corbett C, Li X, Abboud R, Young F, Liesveld JL, Carroll M, Jordan CT. "Discovery of agents that eradicate leukemia [[stem cell]]s using an [[in silico]] screen of public gene expression data. ''Blood'' 2008 Jun 15;111(12):5654-62. Epub 2008 Feb 27.{{PMID|18305216}}</ref><ref>Corsello SM, Roti G, Ross KN, Chow KT, Galinsky I, DeAngelo DJ, Stone RM, Kung AL, Golub TR, Stegmaier K. "Identification of AML1-ETO modulators by [[Chemogenomics|chemical genomics]]. ''Blood'' 2009 Jun 11;113(24):6193-205 {{PMID|19377049}}</ref>
A '''gene signature''' is a group of [[gene]]s in a [[Cell (biology)|cell]] whose combined [[Gene expression|expression]] pattern<ref>Itadani H, Mizuarai S, Kotani H. Can [[systems biology]] understand pathway activation? [[Gene expression]] signatures as surrogate markers for understanding the complexity of pathway activation. Curr Genomics. 2008 Aug;9(5):349-60.{{PMID|19517027}}</ref> is uniquely characteristic of a biological [[phenotype]] or medical condition.<ref>Liu J, Campen A, Huang S, Peng SB, Ye X, Palakal M, Dunker AK, Xia Y, Li S. "Identification of a gene signature in [[cell cycle]] pathway for [[breast cancer]] prognosis using [[gene expression profiling]] data. ''BMC Med Genomics'' 2008 Sep 11;1:39. {{PMID|18786252}}</ref> The phenotypes that may theoretically be defined by a gene expression signature range from those that are used to differentiate between different subtypes of a disease, those that predict the survival or prognosis of an individual with a disease, to those that predict activation of a particular [[Biological pathway|pathway]]. Ideally, gene signatures can be used to select a group of patients<ref>Wouters BJ, Löwenberg B, Erpelinck-Verschueren CA, van Putten WL, Valk PJ, Delwel R. "Double CEBPA mutations, but not single CEBPA mutations, define a subgroup of [[acute myeloid leukemia]] with a distinctive gene expression profile that is uniquely associated with a favorable outcome. ''Blood'' 2009 Mar 26;113(13):3088-91. {{PMID|19171880}}</ref> for whom a particular treatment will be effective.<ref>Hassane DC, Guzman ML, Corbett C, Li X, Abboud R, Young F, Liesveld JL, Carroll M, Jordan CT. "Discovery of agents that eradicate leukemia [[stem cell]]s using an [[in silico]] screen of public gene expression data. ''Blood'' 2008 Jun 15;111(12):5654-62. Epub 2008 Feb 27.{{PMID|18305216}}</ref><ref>Corsello SM, Roti G, Ross KN, Chow KT, Galinsky I, DeAngelo DJ, Stone RM, Kung AL, Golub TR, Stegmaier K. "Identification of AML1-ETO modulators by [[Chemogenomics|chemical genomics]]. ''Blood'' 2009 Jun 11;113(24):6193-205 {{PMID|19377049}}</ref>


Revision as of 00:03, 30 October 2017

A gene signature is a group of genes in a cell whose combined expression pattern[1] is uniquely characteristic of a biological phenotype or medical condition.[2] The phenotypes that may theoretically be defined by a gene expression signature range from those that are used to differentiate between different subtypes of a disease, those that predict the survival or prognosis of an individual with a disease, to those that predict activation of a particular pathway. Ideally, gene signatures can be used to select a group of patients[3] for whom a particular treatment will be effective.[4][5]

See also

References

  1. ^ Itadani H, Mizuarai S, Kotani H. Can systems biology understand pathway activation? Gene expression signatures as surrogate markers for understanding the complexity of pathway activation. Curr Genomics. 2008 Aug;9(5):349-60.PMID 19517027
  2. ^ Liu J, Campen A, Huang S, Peng SB, Ye X, Palakal M, Dunker AK, Xia Y, Li S. "Identification of a gene signature in cell cycle pathway for breast cancer prognosis using gene expression profiling data. BMC Med Genomics 2008 Sep 11;1:39. PMID 18786252
  3. ^ Wouters BJ, Löwenberg B, Erpelinck-Verschueren CA, van Putten WL, Valk PJ, Delwel R. "Double CEBPA mutations, but not single CEBPA mutations, define a subgroup of acute myeloid leukemia with a distinctive gene expression profile that is uniquely associated with a favorable outcome. Blood 2009 Mar 26;113(13):3088-91. PMID 19171880
  4. ^ Hassane DC, Guzman ML, Corbett C, Li X, Abboud R, Young F, Liesveld JL, Carroll M, Jordan CT. "Discovery of agents that eradicate leukemia stem cells using an in silico screen of public gene expression data. Blood 2008 Jun 15;111(12):5654-62. Epub 2008 Feb 27.PMID 18305216
  5. ^ Corsello SM, Roti G, Ross KN, Chow KT, Galinsky I, DeAngelo DJ, Stone RM, Kung AL, Golub TR, Stegmaier K. "Identification of AML1-ETO modulators by chemical genomics. Blood 2009 Jun 11;113(24):6193-205 PMID 19377049


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