RNA tertiary structure analysis by 2'-hydroxyl molecular interference.

Biochemistry

Departments of Chemistry and ‡Biochemistry and Biophysics, University of North Carolina, Chapel Hill, North Carolina 27599-3290, United States.

Published: November 2014

We introduce a melded chemical and computational approach for probing and modeling higher-order intramolecular tertiary interactions in RNA. 2'-Hydroxyl molecular interference (HMX) identifies nucleotides in highly packed regions of an RNA by exploiting the ability of bulky adducts at the 2'-hydroxyl position to disrupt overall RNA structure. HMX was found to be exceptionally selective for quantitative detection of higher-order and tertiary interactions. When incorporated as experimental constraints in discrete molecular dynamics simulations, HMX information yielded accurate three-dimensional models, emphasizing the power of molecular interference to guide RNA tertiary structure analysis and fold refinement. In the case of a large, multidomain RNA, the Tetrahymena group I intron, HMX identified multiple distinct sets of tertiary structure interaction groups in a single, concise experiment.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4903172PMC
http://dx.doi.org/10.1021/bi501218gDOI Listing

Publication Analysis

Top Keywords

tertiary structure
12
molecular interference
12
rna tertiary
8
structure analysis
8
2'-hydroxyl molecular
8
tertiary interactions
8
rna
6
structure
4
analysis 2'-hydroxyl
4
molecular
4

Similar Publications

Background: Retesting for HIV during pregnancy, labor, and postpartum is crucial for identifying new infections and ensuring timely interventions to prevent mother-to-child transmission (PMTCT). Uganda's national guidelines recommend that pregnant women be retested in the 3rd trimester or during labor/delivery. However, limited information exists regarding adherence to these guidelines, which may affect the effectiveness of PMTCT efforts.

View Article and Find Full Text PDF

The tertiary lymphoid structure (TLS) is recognized as a potential prognosis factor for breast cancer and is strongly associated with response to immunotherapy. Inducing TLS neogenesis can enhance the immunogenicity of tumors and improve the efficacy of immunotherapy. However, our understanding of TLS associated region at the single-cell level remains limited.

View Article and Find Full Text PDF

UV-irradiation is a stress factor for proteins, leading to disruption of their native structure. Test systems based on UV-irradiated proteins are relevant for researchers, as they allow working directly with damaged protein molecules, which can be important when studying the properties and mechanisms of action of various antiaggregation agents. The study of UV-irradiated proteins can also have applied significance, including medical.

View Article and Find Full Text PDF

Brain metastasis (BM) is a poor prognostic factor in cancer patients. Despite showing efficacy in many extracranial tumors, immunotherapy with anti-PD-1 monoclonal antibody (mAb) or anti-CTLA-4 mAb appears to be less effective against intracranial tumors. Promisingly, recent clinical studies have reported that combination therapy with anti-PD-1 and anti-CTLA-4 mAbs has a potent antitumor effect on BM, highlighting the need to elucidate the detailed mechanisms controlling the intracranial tumor microenvironment (TME) to develop effective immunotherapeutic strategies.

View Article and Find Full Text PDF

AlphaFold2 (AF2), a deep-learning based model that predicts protein structures from their amino acid sequences, has recently been used to predict multiple protein conformations. In some cases, AF2 has successfully predicted both dominant and alternative conformations of fold-switching proteins, which remodel their secondary and tertiary structures in response to cellular stimuli. Whether AF2 has learned enough protein folding principles to reliably predict alternative conformations outside of its training set is unclear.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!