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Identification and Validation of Novel Reference Genes in Acute Lymphoblastic Leukemia for Droplet Digital PCR.

Abstract：

:Droplet digital PCR is the most robust method for absolute nucleic acid quantification. However, RNA is a very versatile molecule and its abundance is tissue-dependent. RNA quantification is dependent on a reference control to estimate the abundance. Additionally, in cancer, many cellular processes are deregulated which consequently affects the gene expression profiles. In this work, we performed microarray data mining of different childhood cancers and healthy controls. We selected four genes that showed no gene expression variations (PSMB6, PGGT1B, UBQLN2 and UQCR2) and four classical reference genes (ACTB, GAPDH, RPL4 and RPS18). Gene expression was validated in 40 acute lymphoblastic leukemia samples by means of droplet digital PCR. We observed that PSMB6, PGGT1B, UBQLN2 and UQCR2 were expressed ~100 times less than ACTB, GAPDH, RPL4 and RPS18. However, we observed excellent correlations among the new reference genes (p < 0.0001). We propose that PSMB6, PGGT1B, UBQLN2 and UQCR2 are housekeeping genes with low expression in childhood cancer.

journal_name

Genes (Basel)

journal_title

Genes

authors

Villegas-Ruíz V,Olmos-Valdez K,Castro-López KA,Saucedo-Tepanecatl VE,Ramírez-Chiquito JC,Pérez-López EI,Medina-Vera I,Juárez-Méndez S

doi

10.3390/genes10050376

subject

Has Abstract

pub_date

2019-05-17 00:00:00

issue

5

issn

2073-4425

pii

genes10050376

journal_volume

10

pub_type

杂志文章

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