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Critical Reviews™ in Eukaryotic Gene Expression

Publicado 6 números por año

ISSN Imprimir: 1045-4403

ISSN En Línea: 2162-6502

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.6 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 2.2 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 0.3 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00058 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.33 SJR: 0.345 SNIP: 0.46 CiteScore™:: 2.5 H-Index: 67

Indexed in

Combined Gene Expression and DNA Occupancy Profiling as a Strategy to Identify Therapeutic Target(s) in t(8;21) Acute Myeloid Leukemia

Volumen 23, Edición 2, 2013, pp. 103-113
DOI: 10.1615/CritRevEukaryotGeneExpr.2013006917
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SINOPSIS

Microarray technology has contributed valuable information to gene expression signatures of leukemia and other types of cancers and helped to identify biological markers and potential therapeutic targets for treating these diseases. Acute myeloid leukemia (AML) is often caused by aberrant fusion transcription factors resulting from chromosomal translocations, and the dysregulated genes detected by microarray include both direct and indirect targets of the oncogenic transcription factors. The ChIP-chip technology enables the identification of direct targets of a transcription factor based on its promoter occupancy and cellular context. Using AML1-ETO9a-induced AML as a cancer model and using a combined gene expression and promoter occupancy profiling approach, we recently identified CD45 as a direct down-regulated target of t(8;21) fusion proteins. This finding subsequently led us to discover the enhanced Janus activated kinase (JAK)/signal transducer and activator of transcription (STAT) signaling pathway, which is negatively regulated by CD45, in t(8;21) AML. This review summarizes the background of t(8;21) leukemia, structural features of the translocation fusion proteins, and the merits of combining gene discovery technologies for the identification of therapeutic targets in t(8;21) leukemia.

CITADO POR
  1. Wang Lan, Man Na, Sun Xiao-Jian, Tan Yurong, García-Cao Marta, Liu Fan, Hatlen Megan, Xu Haiming, Huang Gang, Mattlin Meredith, Mehta Arpit, Rampersaud Evadnie, Benezra Robert, Nimer Stephen D., Regulation of AKT signaling by Id1 controls t(8;21) leukemia initiation and progression, Blood, 126, 5, 2015. Crossref

  2. Chen Guofeng, Liu Anqi, Xu Yihan, Gao Li, Jiang Mengmeng, Li Yan, Lv Na, Zhou Lei, Wang Lili, Yu Li, Li Yonghui, The RUNX1–ETO fusion proteintrans‐activatesc‐KITexpression by recruiting histone acetyltransferase P300 on its promoter, The FEBS Journal, 286, 5, 2019. Crossref

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