The Menu of Features that Define Primary MicroRNAs and Enable De Novo Design of MicroRNA Genes.

نویسندگان

  • Wenwen Fang
  • David P Bartel
چکیده

MicroRNAs (miRNAs) are small regulatory RNAs processed from stem-loop regions of primary transcripts (pri-miRNAs), with the choice of stem loops for initial processing largely determining what becomes a miRNA. To identify sequence and structural features influencing this choice, we determined cleavage efficiencies of >50,000 variants of three human pri-miRNAs, focusing on the regions intractable to previous high-throughput analyses. Our analyses revealed a mismatched motif in the basal stem region, a preference for maintaining or improving base pairing throughout the remainder of the stem, and a narrow stem-length preference of 35 ± 1 base pairs. Incorporating these features with previously identified features, including three primary-sequence motifs, yielded a unifying model defining mammalian pri-miRNAs in which motifs help orient processing and increase efficiency, with the presence of more motifs compensating for structural defects. This model enables generation of artificial pri-miRNAs, designed de novo, without reference to any natural sequence yet processed more efficiently than natural pri-miRNAs.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Comparing MicroRNA Target Gene Predictions Related to Alzheimer's Disease Using Online Bioinformatics Tools

Introduction: The prediction of microRNAs related to target genes using bioinformatics tools saves time and costs of the experimental analyses. In the present study, the prediction of microRNA target genes relevant to Alzheimer’s Diseases (AD) were compared with the experimentally reported data using different bioinformatics tools. Method: A total of 41 microRNAs associated with 21 essential ge...

متن کامل

Comparing MicroRNA Target Gene Predictions Related to Alzheimer's Disease Using Online Bioinformatics Tools

Introduction: The prediction of microRNAs related to target genes using bioinformatics tools saves time and costs of the experimental analyses. In the present study, the prediction of microRNA target genes relevant to Alzheimer’s Diseases (AD) were compared with the experimentally reported data using different bioinformatics tools. Method: A total of 41 microRNAs associated with 21 essential ge...

متن کامل

Pathway Analysis of miRNA-1 and Its Expres-sion Evaluation in Donor’s Serum from HIV-Positive Individuals vs Unaffected Controls

Background MicroRNAs (miRNAs) are non-coding RNA molecules (19-24 nucleotides) that play a major role in a wide range of biological processes through post-transcriptional regulation of gene expression. Differential expression of miRNAs has been reported in various infectious diseases such as HIV infection. The characterization of miRNA expression profiles, especially in mammalian biofluids, whi...

متن کامل

Differential genes expression analysis of invasive aspergillosis: a bioinformatics study based on mRNA/microRNA

Invasive aspergillosis is a severe opportunistic infection with high mortality in immunocompromised patients. Recently, the roles of microRNAs have been taken into consideration in the immune system and inflammatory responses. Using bioinformatics approaches, we aimed to study the microRNAs related to invasive aspergillosis to understand the molecular pathways involved in the disease pathogenes...

متن کامل

MicroRNAs as a New Molecular Biomarker for Diagnosis and Prognosis of T-cell Acute Lymphoblastic Leukemia (T-ALL): A Systematic Review

MicroRNAs (miRNAs, miRs) are small endogenous non-coding RNAs that regulate the expression of protein-encoding genes at the post-transcriptional level. Several studies have described the role of miRNAs in T-cell acute lymphoblastic leukemia (T-ALL), including tumor suppressor and oncogenic miRNAs. Down-regulation of miRNA expression is a prominent feature of human malignancy. This down-regulati...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Molecular cell

دوره 60 1  شماره 

صفحات  -

تاریخ انتشار 2015