A urinary extracellular vesicle microRNA biomarker discovery pipeline; from automated extracellular vesicle enrichment by acoustic trapping to microRNA sequencing

被引:23
作者
Ku, Anson [1 ,9 ]
Ravi, Naveen [2 ]
Yang, Minjun [2 ]
Evander, Mikael [3 ]
Laurell, Thomas [3 ]
Lilja, Hans [1 ,4 ,5 ,6 ,7 ]
Ceder, Yvonne [8 ]
机构
[1] Lund Univ, Dept Translat Med, Malmo, Sweden
[2] Lund Univ, Dept Lab Med, Div Clin Genet, Lund, Sweden
[3] Lund Univ, Dept Biomed Engn, Lund, Sweden
[4] Mem Sloan Kettering Canc Ctr, Dept Surg, Urol Serv, New York, NY 10021 USA
[5] Mem Sloan Kettering Canc Ctr, Dept Med, Genitourinary Oncol Serv, 1275 York Ave, New York, NY 10021 USA
[6] Mem Sloan Kettering Canc Ctr, Dept Lab Med, 1275 York Ave, New York, NY 10021 USA
[7] Univ Oxford, Nuffield Dept Surg Sci, Oxford, England
[8] Lund Univ, Div Translat Canc Res, Dept Lab Med, Lund, Sweden
[9] Lund Univ, Dept Lab Med, Lund, Sweden
来源
PLOS ONE | 2019年 / 14卷 / 05期
基金
瑞典研究理事会; 美国国家卫生研究院;
关键词
BIASES; IDENTIFICATION;
D O I
10.1371/journal.pone.0217507
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Development of a robust automated platform for enrichment of extracellular vesicles from low sample volume that matches the needs for next-generation sequencing could remove major hurdles for genomic biomarker discovery. Here, we document a protocol for urinary EVs enrichment by utilizing an automated microfluidic system, termed acoustic trap, followed by next-generation sequencing of microRNAs (miRNAs) for biomarker discovery. Specifically, we compared the sequencing output from two small RNA library preparations, NEXTFlex and CATS, using only 130 pg of input total RNA. The samples prepared using NEXTflex was found to contain larger number of unique miRNAs that was the predominant RNA species whereas rRNA was the dominant RNA species in CATS prepared samples. A strong correlation was found between the miRNA expressions of the acoustic trap technical replicate in the NEXTFlex prepared samples, as well as between the acoustic trap and ultracentrifugation enrichment methods. Together, these results demonstrate a robust and automated strategy for biomarker discovery from small volumes of urine.
引用
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页数:13
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共 23 条
  • [1] Barcoding bias in high-throughput multiplex sequencing of miRNA
    Alon, Shahar
    Vigneault, Francois
    Eminaga, Seda
    Christodoulou, Danos C.
    Seidman, Jonathan G.
    Church, George M.
    Eisenberg, Eli
    [J]. GENOME RESEARCH, 2011, 21 (09) : 1506 - 1511
  • [2] Exosomes in cancer development, metastasis, and drug resistance: a comprehensive review
    Azmi, Asfar S.
    Bao, Bin
    Sarkar, Fazlul H.
    [J]. CANCER AND METASTASIS REVIEWS, 2013, 32 (3-4) : 623 - 642
  • [3] Assessment of microRNA differential expression and detection in multiplexed small RNA sequencing data
    Campbell, Joshua D.
    Liu, Gang
    Luo, Lingqi
    Xiao, Ji
    Gerrein, Joseph
    Juan-Guardela, Brenda
    Tedrow, John
    Alekseyev, Yuriy O.
    Yang, Ivana V.
    Correll, Mick
    Geraci, Mark
    Quackenbush, John
    Sciurba, Frank
    Schwartz, David A.
    Kaminski, Naftali
    Johnson, W. Evan
    Monti, Stefano
    Spira, Avrum
    Beane, Jennifer
    Lenburg, Marc E.
    [J]. RNA, 2015, 21 (02) : 164 - 171
  • [4] Length and GC-biases during sequencing library amplification: A comparison of various polymerase-buffer systems with ancient and modern DNA sequencing libraries
    Dabney, Jesse
    Meyer, Matthias
    [J]. BIOTECHNIQUES, 2012, 52 (02) : 87 - +
  • [5] Systematic comparison of small RNA library preparation protocols for next-generation sequencing
    Dard-Dascot, Cloelia
    Naquin, Delphine
    d'Aubenton-Carafa, Yves
    Alix, Karine
    Thermes, Claude
    van Dijk, Erwin
    [J]. BMC GENOMICS, 2018, 19
  • [6] Non-contact acoustic capture of microparticles from small plasma volumes
    Evander, Mikael
    Gidlof, Olof
    Olde, Bjorn
    Erlinge, David
    Laurell, Thomas
    [J]. LAB ON A CHIP, 2015, 15 (12) : 2588 - 2596
  • [7] unitas: the universal tool for annotation of small RNAs
    Gebert, Daniel
    Hewel, Charlotte
    Rosenkranz, David
    [J]. BMC GENOMICS, 2017, 18
  • [8] RNA-ligase-dependent biases in miRNA representation in deep-sequenced small RNA cDNA libraries
    Hafner, Markus
    Renwick, Neil
    Brown, Miguel
    Mihailovic, Aleksandra
    Holoch, Daniel
    Lin, Carolina
    Pena, John T. G.
    Nusbaum, Jeffrey D.
    Morozov, Pavel
    Ludwig, Janos
    Ojo, Tolulope
    Luo, Shujun
    Schroth, Gary
    Tuschl, Thomas
    [J]. RNA, 2011, 17 (09) : 1697 - 1712
  • [9] Seed particle-enabled acoustic trapping of bacteria and nanoparticles in continuous flow systems
    Hammarstrom, Bjorn
    Laurell, Thomas
    Nilsson, Johan
    [J]. LAB ON A CHIP, 2012, 12 (21) : 4296 - 4304
  • [10] Identification and remediation of biases in the activity of RNA ligases in small-RNA deep sequencing
    Jayaprakash, Anitha D.
    Jabado, Omar
    Brown, Brian D.
    Sachidanandam, Ravi
    [J]. NUCLEIC ACIDS RESEARCH, 2011, 39 (21) : e141