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Identification of genetic variants or genes that are associated with Homoharringtonine (HHT) response through a genome-wide association study in human lymphoblastoid cell lines (LCLs)

Overview of attention for article published in Frontiers in Genetics, January 2015
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Title
Identification of genetic variants or genes that are associated with Homoharringtonine (HHT) response through a genome-wide association study in human lymphoblastoid cell lines (LCLs)
Published in
Frontiers in Genetics, January 2015
DOI 10.3389/fgene.2014.00465
Pubmed ID
Authors

Yin Tong, Nifang Niu, Gregory Jenkins, Anthony Batzler, Liang Li, Krishna R. Kalari, Liewei Wang

Abstract

Homoharringtonine (HHT) has been widely used in China to treat patients with acute and chronic myeloid leukemia for decades. Since response to HHT varies among patients, our study aimed to identify biomarkers that might influence the response to HHT using a panel of various human lymphoblastoid cell lines (LCLs). Genome-wide association (GWA) analysis using single nucleotide polymorphism (SNP) and mRNA expression data was assessed for association with cytotoxicity to HHT in LCLs. Integrated analysis among SNPs, expression, AUC value was also performed to help select candidate genes for further functional characterization. Functional validation of candidate genes was performed using leukemia cell lines (U937, K562). Candidate genes were knocked down using specific siRNA and its response to HHT was assessed using MTS assay. We found that 15 expression probes were associated with HHT AUC with P < 10(-4), and 96 individual probe sets with P < 10(-3). Eighteen SNPs were associated with HHT AUC with P < 10(-5) and 281 SNPs with P < 10(-4). The integrated analysis identified 4 unique SNPs that were associated with both expression and AUC. Functional validation using siRNA knockdown in leukemia cell lines showed that knocking down CCDC88A, CTBP2, SOCS4 genes in U937 and K562 cells significantly altered HHT cytotoxicity. In summary, this study performed with LCLs can help to identify novel biomarker that might contribute to variation in response to HHT therapy.

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Mendeley readers

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The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 29%
Other 1 14%
Researcher 1 14%
Unknown 3 43%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 14%
Agricultural and Biological Sciences 1 14%
Chemistry 1 14%
Engineering 1 14%
Unknown 3 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 January 2015.
All research outputs
#18,389,490
of 22,778,347 outputs
Outputs from Frontiers in Genetics
#7,019
of 11,759 outputs
Outputs of similar age
#256,323
of 353,085 outputs
Outputs of similar age from Frontiers in Genetics
#102
of 128 outputs
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