A noncoding RNA gene on chromosome 10p15.3 may function upstream of hTERT

Miura, Naruhisa; Sato, Reina; Tsukamoto, Tomoe; Shimizu, Mika; Kabashima, Hiroko; Takeda, Miho; Takahashi, Shunsaku; Harada, Tomonari; West, James E.; Drabkin, Harry A.; Mejía, José Enrique; Shiota, Goshi; Murawaki, Yoshikazu; Virmani, Arvind K.; Gazdar, Adi F.; Oshimura, Mitsuo; Hasegawa, Junichi

doi:10.1186/1471-2199-10-5

Cited by 18 publications

(19 citation statements)

References 48 publications

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“…Another commonly used reference gene, actin , encodes a major component of the protein scaffold that supports the cell and determines its shape. The expression of actin is moderately abundant in most cell types, and actin has been used extensively as a reference gene in B. tabaci and in many other insects including the desert locust [46], European honey bee [45], and two species of Collembola [52]. In our study actin was not stable among different tissues (body regions) and hosts; disqualifying actin as a suitable reference gene under these conditions.…”

Section: Discussionmentioning

confidence: 63%

Reference Gene Selection for qRT-PCR Analysis in the Sweetpotato Whitefly, Bemisia tabaci (Hemiptera: Aleyrodidae)

et al. 2013

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BackgroundAccurate evaluation of gene expression requires normalization relative to the expression of reliable reference genes. Expression levels of “classical” reference genes can differ, however, across experimental conditions. Although quantitative real-time PCR (qRT-PCR) has been used extensively to decipher gene function in the sweetpotato whitefly Bemisia tabaci, a world-wide pest in many agricultural systems, the stability of its reference genes has rarely been validated.ResultsIn this study, 15 candidate reference genes from B. tabaci were evaluated using two Excel-based algorithms geNorm and Normfinder under a diverse set of biotic and abiotic conditions. At least two reference genes were selected to normalize gene expressions in B. tabaci under experimental conditions. Specifically, for biotic conditions including host plant, acquisition of a plant virus, developmental stage, tissue (body region of the adult), and whitefly biotype, ribosomal protein L29 was the most stable reference gene. In contrast, the expression of elongation factor 1 alpha, peptidylprolyl isomerase A, NADH dehydrogenase, succinate dehydrogenase complex subunit A and heat shock protein 40 were consistently stable across various abiotic conditions including photoperiod, temperature, and insecticide susceptibility.ConclusionOur finding is the first step toward establishing a standardized quantitative real-time PCR procedure following the MIQE (Minimum Information for publication of Quantitative real time PCR Experiments) guideline in an agriculturally important insect pest, and provides a solid foundation for future RNA interference based functional study in B. tabaci.

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Section: Discussionmentioning

confidence: 63%

Reference Gene Selection for qRT-PCR Analysis in the Sweetpotato Whitefly, Bemisia tabaci (Hemiptera: Aleyrodidae)

et al. 2013

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“…Cytogenetic changes involving negative regulators of p53 may contribute to hTERT activation in B‐CLL . Furthermore, genetic alterations may affect microRNAs involved in regulating hTERT mRNA expression , . In virus‐driven lymphoid tumors, the preexisting viral infection and the ability of distinct viral proteins to directly activate hTERT may lead to telomere lengthening/stabilization before tumor onset and even during malignant progression.…”

Section: Discussionmentioning

confidence: 99%

Telomere/telomerase interplay in virus‐driven and virus‐independent lymphomagenesis: pathogenic and clinical implications

Dolcetti

Rossi

2010

Medicinal Research Reviews

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Telomerase is a ribonucleoprotein complex critically involved in extending and maintaining telomeres. Unlike the majority of somatic cells, in which hTERT and telomerase activity are generally silent, normal lymphocytes show transient physiological hTERT expression and telomerase activity according to their differentiation/activation status. During lymphomagenesis, induction of persistent telomerase expression and activity may occur before or after telomere shortening, as a consequence of the different mechanisms through which transforming factors/agents may activate telomerase. Available data indicate that the timing of telomerase activation may allow the distinction of two different lymphomagenetic models: (i) an early activation of telomerase via exogenous regulators of hTERT, along with an increased lymphocyte growth and a subsequent selection of cells with increased transforming potential may characterize several virus-related lymphoid malignancies; (ii) a progressive shortening of telomeres, leading to genetic instability which favors a subsequent activation of telomerase via endogenous regulators may occur in most virus-unrelated lymphoid tumors. These models may have clinically relevant implications, particularly for the tailoring of therapeutic strategies targeting telomerase.

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“…The miR-34 family of all transcriptional targets participates in the senescent program (Kumamoto et al 2008) through modulation, at least for miR-34a, of the E2F signaling pathway (Tazawa et al 2007). Of note, recently RGM249 (RNA gene for miRs) was discovered, which could be among the first miR precursor genes that are involved in the differentiation and function upstream of hTERT in tumor cells (Miura et al 2009). (2010) 17 F51-F75 www.endocrinology-journals.org…”

Section: Limitless Replicative Potential Of Tumorsmentioning

confidence: 99%

MicroRNAs: a complex regulatory network drives the acquisition of malignant cell phenotype

Santarpia¹,

Nicoloso²,

Calin³

2010

Endocrine-Related Cancer

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Several lines of evidence indicate that tumorigenesis is a complex multistep process, and that most, if not all, cancers acquire the same set of functional capabilities during development and progression, albeit through various mechanistic strategies. Increasing data show an important role of microRNAs (miRNAs or miRs) in regulating various aspects of cancer biology. This review describes the role of microRNAs during the multiple steps that drive the progressive transformation of normal cells into highly malignant derivatives, outlining the role of microRNAs in regulating the common hallmarks of tumorigenesis: self-sufficiency in growth signals, insensitivity to antigrowth signals, abnormal apoptosis, limitless replicative potential, induction and sustained angiogenesis, and tissue invasion and metastasis. Recent evidence suggests an important role of microRNAs in the regulation of the expression of most genes regulating and coordinating a wide variety of processes in endocrine glands. We will highlight microRNAs of potential relevance to endocrine tumors and hormone-dependent cancers. Through this overview of how microRNAs regulate multiple targets and entire pathways, we will provide insight into the potential to develop new molecular microRNA-targeted therapies for endocrine tumors.

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A noncoding RNA gene on chromosome 10p15.3 may function upstream of hTERT

Cited by 18 publications

References 48 publications

Reference Gene Selection for qRT-PCR Analysis in the Sweetpotato Whitefly, Bemisia tabaci (Hemiptera: Aleyrodidae)

Reference Gene Selection for qRT-PCR Analysis in the Sweetpotato Whitefly, Bemisia tabaci (Hemiptera: Aleyrodidae)

Telomere/telomerase interplay in virus‐driven and virus‐independent lymphomagenesis: pathogenic and clinical implications

MicroRNAs: a complex regulatory network drives the acquisition of malignant cell phenotype

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