Literature DB >> 25191694

Distribution profiling of circulating microRNAs in serum.

Jonathan Ashby1, Kenneth Flack, Luis A Jimenez, Yaokai Duan, Abdel-Kareem Khatib, George Somlo, Shizhen Emily Wang, Xinping Cui, Wenwan Zhong.   

Abstract

Circulating microRNAs (miRNAs) are potential biomarkers useful in cancer diagnosis. They have been found to be bound to various carriers like proteins, lipoprotein particles, and exosomes. It is likely that only miRNAs in particular carriers, but not the overall quantity, are directly related to cancer development. Herein, we developed a method for rapid separation of different miRNA carriers in serum using asymmetrical flow field flow fractionation (AF4). Sera from two healthy individuals (control) or from two cancer patients (case) were fractionated. Six fractions enriching different types of miRNA carriers, such as the lipoprotein particles and exosomes, were collected. The quantities of eight selected miRNAs in each fraction were obtained by RT-qPCR to yield their distribution profiles among the carriers. Larger changes in miRNA quantity between the control and the case were detected in the fractionated results compared to the sum values. Statistical analysis on the distribution profiles also proved that, the quantities of 4 miRNAs within particular fractions showed significant difference between the controls and the cases. On the contrary, if the overall quantity of the miRNA was subject to the same statistical analysis, only 2 miRNAs exhibited significant difference. Moreover, principle component analysis revealed good separation between the controls and the cases with the fractionated miRNA amounts. All in all, we have demonstrated that, our method enables comprehensive screening of the distribution of circulating miRNAs in the carriers. The obtained distribution profile enlarges the miRNA expression difference between healthy individuals and cancer patients, facilitating the discovery of specific miRNA biomarkers for cancer diagnosis.

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Year:  2014        PMID: 25191694     DOI: 10.1021/ac5028929

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  20 in total

1.  Analysis of circulating non-coding RNAs in a non-invasive and cost-effective manner.

Authors:  Yu-Min Wang; Michael Patrick Trinh; Yongzan Zheng; Kaizhu Guo; Luis A Jimenez; Wenwan Zhong
Journal:  Trends Analyt Chem       Date:  2019-07-05       Impact factor: 12.296

2.  Identification of distinct nanoparticles and subsets of extracellular vesicles by asymmetric flow field-flow fractionation.

Authors:  Haiying Zhang; Daniela Freitas; Han Sang Kim; Kristina Fabijanic; Zhong Li; Haiyan Chen; Milica Tesic Mark; Henrik Molina; Alberto Benito Martin; Linda Bojmar; Justin Fang; Sham Rampersaud; Ayuko Hoshino; Irina Matei; Candia M Kenific; Miho Nakajima; Anders Peter Mutvei; Pasquale Sansone; Weston Buehring; Huajuan Wang; Juan Pablo Jimenez; Leona Cohen-Gould; Navid Paknejad; Matthew Brendel; Katia Manova-Todorova; Ana Magalhães; José Alexandre Ferreira; Hugo Osório; André M Silva; Ashish Massey; Juan R Cubillos-Ruiz; Giuseppe Galletti; Paraskevi Giannakakou; Ana Maria Cuervo; John Blenis; Robert Schwartz; Mary Sue Brady; Héctor Peinado; Jacqueline Bromberg; Hiroshi Matsui; Celso A Reis; David Lyden
Journal:  Nat Cell Biol       Date:  2018-02-19       Impact factor: 28.824

3.  Highly Efficient Exosome Isolation and Protein Analysis by an Integrated Nanomaterial-Based Platform.

Authors:  Xiaoni Fang; Yaokai Duan; Gary Brent Adkins; Songqin Pan; Hua Wang; Yang Liu; Wenwan Zhong
Journal:  Anal Chem       Date:  2018-02-08       Impact factor: 6.986

4.  Breast-cancer-secreted miR-122 reprograms glucose metabolism in premetastatic niche to promote metastasis.

Authors:  Miranda Y Fong; Weiying Zhou; Liang Liu; Aileen Y Alontaga; Manasa Chandra; Jonathan Ashby; Amy Chow; Sean Timothy Francis O'Connor; Shasha Li; Andrew R Chin; George Somlo; Melanie Palomares; Zhuo Li; Jacob R Tremblay; Akihiro Tsuyada; Guoqiang Sun; Michael A Reid; Xiwei Wu; Piotr Swiderski; Xiubao Ren; Yanhong Shi; Mei Kong; Wenwan Zhong; Yuan Chen; Shizhen Emily Wang
Journal:  Nat Cell Biol       Date:  2015-01-26       Impact factor: 28.824

Review 5.  MicroRNAs: New Biomarkers for Diagnosis, Prognosis, Therapy Prediction and Therapeutic Tools for Breast Cancer.

Authors:  Gloria Bertoli; Claudia Cava; Isabella Castiglioni
Journal:  Theranostics       Date:  2015-07-13       Impact factor: 11.556

6.  Differential regulation of serum microRNA expression by HNF1β and HNF1α transcription factors.

Authors:  Wojciech Fendler; Joanna Madzio; Kamil Kozinski; Kashyap Patel; Justyna Janikiewicz; Magdalena Szopa; Adam Tracz; Maciej Borowiec; Przemyslawa Jarosz-Chobot; Malgorzata Mysliwiec; Agnieszka Szadkowska; Andrew T Hattersley; Sian Ellard; Maciej T Malecki; Agnieszka Dobrzyn; Wojciech Mlynarski
Journal:  Diabetologia       Date:  2016-04-08       Impact factor: 10.122

7.  miR-199a-5p confers tumor-suppressive role in triple-negative breast cancer.

Authors:  Jiawei Chen; Vivian Y Shin; Man T Siu; John C W Ho; Isabella Cheuk; Ava Kwong
Journal:  BMC Cancer       Date:  2016-11-14       Impact factor: 4.430

Review 8.  Diagnostic value of microRNAs in asbestos exposure and malignant mesothelioma: systematic review and qualitative meta-analysis.

Authors:  Luigina Micolucci; Most Mauluda Akhtar; Fabiola Olivieri; Maria Rita Rippo; Antonio Domenico Procopio
Journal:  Oncotarget       Date:  2016-09-06

9.  Use of miRNAs in biofluids as biomarkers in dietary and lifestyle intervention studies.

Authors:  Sophie Rome
Journal:  Genes Nutr       Date:  2015-08-02       Impact factor: 5.523

10.  Comparative miRNAome analysis revealed different miRNA expression profiles in bovine sera and exosomes.

Authors:  Ke Zhao; Guanxiang Liang; Xu Sun; Le Luo Guan
Journal:  BMC Genomics       Date:  2016-08-12       Impact factor: 3.969

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