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Towards deciphering the principles underlying an mRNA recognition code.

ABSTRACT: Messenger RNAs interact with a number of different molecules that determine the fate of each transcript and contribute to the overall pattern of gene expression. These interactions are governed by specific mRNA signals, which in principle could represent a special mRNA recognition 'code'. Both, small molecules and proteins demonstrate a diversity of mRNA binding modes often dependent on the structural context of the regions surrounding specific target sequences. In this review, we have highlighted recent structural studies that illustrate the diversity of recognition principles used by mRNA binders for timely and specific targeting and processing of the message.

SUBMITTER: Serganov A

PROVIDER: S-EPMC3744885 | biostudies-literature | 2008 Feb

REPOSITORIES: biostudies-literature

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Towards deciphering the principles underlying an mRNA recognition code.

Serganov Alexander A Patel Dinshaw J DJ

Current opinion in structural biology 20080205 1

Messenger RNAs interact with a number of different molecules that determine the fate of each transcript and contribute to the overall pattern of gene expression. These interactions are governed by specific mRNA signals, which in principle could represent a special mRNA recognition 'code'. Both, small molecules and proteins demonstrate a diversity of mRNA binding modes often dependent on the structural context of the regions surrounding specific target sequences. In this review, we have highlight ...[more]

PMID: 18255277

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Project description:BackgroundAcute myeloid leukemia (AML) remains a devastating disease with a 5-year survival rate of less than 30%. AML treatment has undergone significant changes in recent years, incorporating novel targeted therapies along with improvements in allogeneic bone marrow transplantation techniques. However, the standard of care remains cytarabine and anthracyclines, and the primary hindrance towards curative treatment is the frequent emergence of intrinsic and acquired anticancer drug resistance. In this respect, patients presenting with chemoresistant AML face dismal prognosis even with most advanced therapies. Herein, we aimed to explore the potential implementation of the characterization of chemoresistance mechanisms in individual AML patients towards efficacious personalized medicine.MethodsTowards the identification of tailored treatments for individual patients, we herein present the cases of relapsed AML patients, and compare them to patients displaying durable remissions following the same chemotherapeutic induction treatment. We quantified the expression levels of specific genes mediating drug transport and metabolism, nucleotide biosynthesis, and apoptosis, in order to decipher the molecular mechanisms underlying intrinsic and/or acquired chemoresistance modalities in relapsed patients. This was achieved by real-time PCR using patient cDNA, and could be readily implemented in the clinical setting.ResultsThis analysis revealed pre-existing differences in gene expression levels between the relapsed patients and patients with lasting remissions, as well as drug-induced alterations at different relapse stages compared to diagnosis. Each of the relapsed patients displayed unique chemoresistance mechanisms following similar treatment protocols, which could have been missed in a large study aimed at identifying common drug resistance determinants.ConclusionsOur findings emphasize the need for standardized evaluation of key drug transport and metabolism genes as an integral component of routine AML management, thereby allowing for the selection of treatments of choice for individual patients. This approach could facilitate the design of efficacious personalized treatment regimens, thereby reducing relapse rates of therapy refractory disease.

Dataset Information

Towards deciphering the principles underlying an mRNA recognition code.

Publications

Towards deciphering the principles underlying an mRNA recognition code.

Similar Datasets

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