Literature DB >> 31481502

Quantification and Localization of Protein-RNA Interactions in Patient-Derived Archival Tumor Tissue.

Emmeline L Blanchard1, Danae Argyropoulou1, Chiara Zurla1, Sushma M Bhosle1, Daryll Vanover1, Philip J Santangelo1.   

Abstract

Abnormal post-transcriptional regulation induced by alterations of mRNA-protein interactions is critical during tumorigenesis and cancer progression and is a hallmark of cancer cells. A more thorough understanding is needed to develop treatments and foresee outcomes. Cellular and mouse tumor models are insufficient for vigorous investigation as they lack consistency and translatability to humans. Moreover, to date, studies in human tumor tissue are predominately limited to expression analysis of proteins and mRNA, which do not necessarily provide information about the frequency of mRNA-protein interactions. Here, we demonstrate novel optimization of a method that is based on FISH and proximity ligation techniques to quantify mRNA interactions with RNA-binding proteins relevant for tumorigenesis and cancer progression in archival patient-derived tumor tissue. This method was validated for multiple mRNA-protein pairs in several cellular models and in multiple types of archival human tumor samples. Furthermore, this approach allowed high-throughput analysis of mRNA-protein interactions across a wide range of tumor types and stages through tumor microarrays. This method is quantitative, specific, and sensitive for detecting interactions and their localization at both the individual cell and whole-tissue scales with single interaction sensitivity. This work presents an important tool in investigating post-transcriptional regulation in cancer on a high-throughput scale, with great potential for translatability into any applications where mRNA-protein interactions are of interest. SIGNIFICANCE: This work presents an approach to sensitively, specifically, and quantitatively detect and localize native mRNA and protein interactions for analysis of abnormal post-transcriptional regulation in patient-derived archival tumor samples. ©2019 American Association for Cancer Research.

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Year:  2019        PMID: 31481502      PMCID: PMC6801105          DOI: 10.1158/0008-5472.CAN-19-1094

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  36 in total

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Journal:  Adv Drug Deliv Rev       Date:  2000-11-15       Impact factor: 15.470

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Journal:  Mol Cell Biol       Date:  1984-06       Impact factor: 4.272

5.  Altered expression of the mRNA stability factor HuR promotes cyclooxygenase-2 expression in colon cancer cells.

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Journal:  J Clin Invest       Date:  2001-12       Impact factor: 14.808

6.  Immunohistochemistry as an important tool in biomarkers detection and clinical practice.

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Journal:  Biomark Insights       Date:  2010-02-09

7.  Dextran sodium sulfate inhibits the activities of both polymerase and reverse transcriptase: lithium chloride purification, a rapid and efficient technique to purify RNA.

Authors:  Emilie Viennois; Fengyuan Chen; Hamed Laroui; Mark T Baker; Didier Merlin
Journal:  BMC Res Notes       Date:  2013-09-08

8.  Characterizing exogenous mRNA delivery, trafficking, cytoplasmic release and RNA-protein correlations at the level of single cells.

Authors:  Jonathan L Kirschman; Sushma Bhosle; Daryll Vanover; Emmeline L Blanchard; Kristin H Loomis; Chiara Zurla; Kathryn Murray; Blaine C Lam; Philip J Santangelo
Journal:  Nucleic Acids Res       Date:  2017-07-07       Impact factor: 16.971

9.  Impact of HuR inhibition by the small molecule MS-444 on colorectal cancer cell tumorigenesis.

Authors:  Fernando F Blanco; Ranjan Preet; Andrea Aguado; Vikalp Vishwakarma; Laura E Stevens; Alok Vyas; Subhash Padhye; Liang Xu; Scott J Weir; Shrikant Anant; Nicole Meisner-Kober; Jonathan R Brody; Dan A Dixon
Journal:  Oncotarget       Date:  2016-11-08

10.  Modulation of the mRNA-binding protein HuR as a novel reversal mechanism of epirubicin-triggered multidrug resistance in colorectal cancer cells.

Authors:  Guan-Liang Lin; Huei-Ju Ting; Ta-Chien Tseng; Vivian Juang; Yu-Li Lo
Journal:  PLoS One       Date:  2017-10-02       Impact factor: 3.240

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  1 in total

1.  Polymerase-tagged respiratory syncytial virus reveals a dynamic rearrangement of the ribonucleocapsid complex during infection.

Authors:  Emmeline L Blanchard; Molly R Braun; Aaron W Lifland; Barbara Ludeke; Sarah L Noton; Daryll Vanover; Chiara Zurla; Rachel Fearns; Philip J Santangelo
Journal:  PLoS Pathog       Date:  2020-10-08       Impact factor: 6.823

  1 in total

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