Publications by authors named "Atefeh Khoshnevisan"

Long Non-coding RNAs (lncRNAs) refer to all non-protein coding transcripts longer than 200 nucleotides. Their critical roles in different biological pathways have been already well established. Altered expression of lncRNAs can be involved in the cancer initiation and/or progression.

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Purpose: To investigate the expression alteration of miR-886-5p in bladder tumors and evaluating its expression level as a potential biomarker in this type of cancer.

Materials And Methods: Formalin-fixed paraffin-embedded (FFPE) samples of bladder tumors belonging to 70 patients whom had been referred to the Shahid Labbafi-Nejad medical center were obtained from the archival collection of pathology department. After RNA extraction and cDNA synthesis, expression levels of miR-886-5p were quantified by a real-time reverse transcription polymerase chain reaction (RT-PCR) approach.

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Different mechanisms regulate the expression level of tissue specific genes in human. Here we report some compositional features such as codon usage bias, amino acid usage bias, codon frequency, and base composition which may be potentially related to mRNA amount of tissue specific tumor suppressor genes. Our findings support the possibility that structural elements in gene and protein may play an important role in the regulation of tumor suppressor genes, development, and tumorigenesis.

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Different long non-coding RNAs (lncRNAs) are transcribed within the genome. Although initially argued to be spurious transcriptional noise, these RNAs play important roles in biological pathways, as shown by different studies. Also, there are some reports about the role of lncRNAs in different cancers.

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Limited understanding of the Rb1 locus hinders genetic and epigenetic analyses of Retinoblastoma, a childhood cancer of the nervous systems. In this study, we used in silico tools to investigate and review putative genetic and epigenetic elements of the Rb1 gene. We report transcription start sites, CpG islands, and regulatory moieties that are likely to influence transcriptional states of this gene.

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Codon usage bias has been observed in various organisms. In this study, the correlation between SHH genes expression in some tissues and codon usage features was analyzed by bioinformatics. We found that translational selection may act on compositional features of this set of genes.

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