Literature DB >> 25690152

On-chip surface acoustic wave lysis and ion-exchange nanomembrane detection of exosomal RNA for pancreatic cancer study and diagnosis.

Daniel Taller1, Katherine Richards, Zdenek Slouka, Satyajyoti Senapati, Reginald Hill, David B Go, Hsueh-Chia Chang.   

Abstract

There has been increasing evidence that micro and messenger RNA derived from exosomes play important roles in pancreatic and other cancers. In this work, a microfluidics-based approach to the analysis of exosomal RNA is presented based on surface acoustic wave (SAW) exosome lysis and ion-exchange nanomembrane RNA sensing performed in conjunction on two separate chips. Using microRNA hsa-miR-550 as a model target and raw cell media from pancreatic cancer cell lines as a biological sample, SAW-based exosome lysis is shown to have a lysis rate of 38%, and an ion-exchange nanomembrane sensor is shown to have a limit of detection of 2 pM, with two decades of linear dynamic range. A universal calibration curve was derived for the membrane sensor and used to detect the target at a concentration of 13 pM in a SAW-lysed sample, which translates to 14 target miRNA per exosome from the raw cell media. At a total analysis time of ~1.5 h, this approach is a significant improvement over existing methods that require two overnight steps and 13 h of processing time. The platform also requires much smaller sample volumes than existing technology (~100 μL as opposed to ~mL) and operates with minimal sample loss, a distinct advantage for studies involving mouse models or other situations where the working fluid is scarce.

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Year:  2015        PMID: 25690152     DOI: 10.1039/c5lc00036j

Source DB:  PubMed          Journal:  Lab Chip        ISSN: 1473-0189            Impact factor:   6.799


  52 in total

Review 1.  Future microfluidic and nanofluidic modular platforms for nucleic acid liquid biopsy in precision medicine.

Authors:  Ana Egatz-Gomez; Ceming Wang; Flora Klacsmann; Zehao Pan; Steve Marczak; Yunshan Wang; Gongchen Sun; Satyajyoti Senapati; Hsueh-Chia Chang
Journal:  Biomicrofluidics       Date:  2016-05-05       Impact factor: 2.800

Review 2.  Liquid biopsy technologies based on membrane microfluidics: High-yield purification and selective quantification of biomarkers in nanocarriers.

Authors:  Ceming Wang; Satyajyoti Senapati; Hsueh-Chia Chang
Journal:  Electrophoresis       Date:  2020-04-09       Impact factor: 3.535

3.  A compact microfluidic chip with integrated impedance biosensor for protein preconcentration and detection.

Authors:  Tuan Vu Quoc; Meng-Syuan Wu; Tung Thanh Bui; Trinh Chu Duc; Chun-Ping Jen
Journal:  Biomicrofluidics       Date:  2017-10-23       Impact factor: 2.800

Review 4.  Electrokinetic ion transport in nanofluidics and membranes with applications in bioanalysis and beyond.

Authors:  Li-Jing Cheng
Journal:  Biomicrofluidics       Date:  2018-04-12       Impact factor: 2.800

Review 5.  Microfluidics for exosome isolation and analysis: enabling liquid biopsy for personalized medicine.

Authors:  Jose C Contreras-Naranjo; Hung-Jen Wu; Victor M Ugaz
Journal:  Lab Chip       Date:  2017-10-25       Impact factor: 6.799

6.  Extracellular vesicle identification in tooth movement models.

Authors:  L Shannon Holliday; Estella Truzman; Jian Zuo; Guanghong Han; Rosemarie Torres-Medina; Wellington J Rody
Journal:  Orthod Craniofac Res       Date:  2019-05       Impact factor: 1.826

7.  A microfluidic electrochemical biosensor based on multiwall carbon nanotube/ferrocene for genomic DNA detection of Mycobacterium tuberculosis in clinical isolates.

Authors:  B Zribi; E Roy; A Pallandre; S Chebil; M Koubaa; N Mejri; H Magdinier Gomez; C Sola; H Korri-Youssoufi; A-M Haghiri-Gosnet
Journal:  Biomicrofluidics       Date:  2016-02-02       Impact factor: 2.800

8.  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

Review 9.  Exosomal biomarkers for cancer diagnosis and patient monitoring.

Authors:  Amy Makler; Waseem Asghar
Journal:  Expert Rev Mol Diagn       Date:  2020-02-20       Impact factor: 5.225

10.  Acoustofluidic methods in cell analysis.

Authors:  Yuliang Xie; Hunter Bachman; Tony Jun Huang
Journal:  Trends Analyt Chem       Date:  2019-07-13       Impact factor: 12.296

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