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Cited by 572Extracellular vesicles in diseaseMicrofluidic and Bio-sensing TechnologiesMicrofluidic and Capillary Electrophoresis Applications

Microfluidic isolation and transcriptome analysis of serum microvesicles

Open access
Chen, Chihchen, Skog, Johan, Hsu, Chia-Hsien, Lessard, Ryan T., Balaj, Leonora, Wurdinger, Thomas, Carter, Bob S., Breakefield, Xandra O. +2 more·2010·Lab Chip
DOI 10.1039/b916199fPMC PMC3136803
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Abstract

Microvesicles (exosomes) shed from both normal and cancerous cells may serve as means of intercellular communication. These microvesicles carry proteins, lipids and nucleic acids derived from the host cell. Their isolation and analysis from blood samples have the potential to provide information about state and progression of malignancy and should prove of great clinical importance as biomarkers for a variety of disease states. However, current protocols for isolation of microvesicles from blood require high-speed centrifugation and filtration, which are cumbersome and time consuming. In order to take full advantage of the potential of microvesicles as biomarkers for clinical applications, faster and simpler methods of isolation will be needed. In this paper, we present an easy and rapid microfluidic immunoaffinity method to isolate microvesicles from small volumes of both serum from blood samples and conditioned medium from cells in culture. RNA of high quality can be extracted from these microvesicles providing a source of information about the genetic status of tumors to serve as biomarkers for diagnosis and prognosis of cancer.

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  • mRNA profiling of serum-derived EV contents can discriminate between healthy and glioblastoma-bearing patients, and IDH-1, EGFRvIII, and c-myc alterations have been detected in EVs from glioblastoma or medulloblastoma samples.

    “For example, mRNA profiling of serum derived EV contents can discriminate between healthy and glioblastoma bearing patients [118]. IDH-1 (isocitrate dehydrogenase 1) transcripts have been detected from EVs isolated from the blood of glioblastoma bearing patients using immunoisolations of EVs targeting CD63 [119].”

    From Biogenesis of extracellular vesicles (EV): exosomes, microvesicles, retrovirus-like vesicles, and apoptotic bodies (2013) · cites this paper as [119]

    The Results section ('Extraction of RNA from captured microvesicles'; page unavailable) reports less microvesicle RNA in healthy serum than in glioblastoma patient serum. It does not show that mRNA profiles discriminate between the two groups: the two mRNAs tested were detected in both. The IDH-1 statement in the printed sentence carries a different citation and is not attributed to this paper here. (LLM, conf=0.84)

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Research works printed but not linked: 45

  1. [1]Andre F Schartz NEC Movassagh M Flament C Pautier P Morice P Pomel C Lhomme C Escudier B Le Chevalier T Tursz T Amigorena S Raposo G Angevin E Zitvogel L Lancet 2002 360 295 305 12147373
  2. [2]Thery C Zitvogel L Amigorena S Nat Rev Immunol 2002 2 569 579 12154376
  3. [3]Booth AM Fang Y Fallon JK Yang JM Hildreth JEK Gould SJ J Cell Biol 2006 172 923 935 16533950 PMC2063735
  4. [4]Pan BT Johnstone RM Cell 1983 33 967 977 6307529
  5. [5]Fevrier B Raposo G Curr Opin Cell Biol 2004 16 415 421 15261674
  6. [6]Lakkaraju A Rodriguez-Boulan E Trends Cell Biol 2008 18 199 209 18396047 PMC3754907
  7. [7]Valadi H Ekstrom K Bossios A Sjostrand M Lee JJ Lotvall JO Nat Cell Biol 2007 9 654 U672 17486113
  8. [8]Andre F Chaput N Schartz NEC Flament C Aubert N Bernard J Lemonnier F Raposo G Escudier B Hsu DH Tursz T Amigorena S Angevin E Zitvogel L J Immunol 2004 172 2126 2136 14764678
  9. [9]Taylor DD Akyol S Gercel-Taylor C J Immunol 2006 176 1534 1542 16424182
  10. [10]Skog J Wurdinger T van Rijn S Meijer DH Gainche L Sena-Esteves M Curry WT Carter BS Krichevsky AM Breakefield XO Nat Cell Biol 2008 10 1470 1476 19011622 PMC3423894
  11. [11]Kim SH Lechman ER Bianco N Menon R Keravala A Nash J Mi ZB Watkins SC Gambotto A Robbins PD J Immunol 2005 174 6440 6448 15879146
  12. [12]Hegmans J Bard MPL Hemmes A Luider TM Kleijmeer MJ Prins JB Zitvogel L Burgers SA Hoogsteden HC Lambrecht BN Am J Pathol 2004 164 1807 1815 15111327 PMC1615654
  13. [13]Zwaal RFA Comfurius P Bevers EM Biochim Biophys Acta 1992 1180 1 8 1390938
  14. [14]Stoorvogel W Kleijmeer MJ Geuze HJ Raposo G Traffic Oxford U K 2002 3 321 330 11967126
  15. [15]Fevrier B Vilette D Archer F Loew D Faigle W Vidal M Laude H Raposo G Proc Natl Acad Sci U S A 2004 101 9683 9688 15210972 PMC470735
  16. [16]Taylor DD Gercel-Taylor C Br J Cancer 2005 92 305 311 15655551 PMC2361848
  17. [17]Cantin R Diou J Belanger D Tremblay AM Gilbert C J Immunol Methods 2008 338 21 30 18675270
  18. [18]Thery C Clayton A Amigorena S Raposo G Current Protocols in Cell Biology Morgan K John Wiley New York 2006 p. UNIT 3.22 18228490
  19. [19]Lamparski HG Metha-Damani A Yao JY Patel S Hsu DH Ruegg C Le Pecq JB J Immunol Methods 2002 270 211 226 12379326
  20. [20]Taylor DD Gercel-Taylor C Gynecol Oncol 2008 110 13 21 18589210
  21. [21]Stroock AD Dertinger SKW Ajdari A Mezic I Stone HA Whitesides GM Science 2002 295 647 651 11809963
  22. [22]Hsu CH Di Carlo D Chen CC Irimia D Toner M Lab Chip 2008 8 2128 2134 19023476 PMC4142319
  23. [23]Choi S Park JK Lab Chip 2007 7 890 897 17594009
  24. [24]Cheng XH Irimia D Dixon M Sekine K Demirci U Zamir L Tompkins RG Rodriguez W Toner M Lab Chip 2007 7 170 178 17268618 PMC4028372
  25. [25]Murthy SK Sin A Tompkins RG Toner M Langmuir 2004 20 11649 11655 15595794
  26. [26]Usami S Chen HH Zhao YH Chien S Skalak R Ann Biomed Eng 1993 21 77 83 8434823
  27. [27]Squires TM Messinger RJ Manalis SR Nat Biotechnol 2008 26 417 426 18392027
  28. [28]Parsons D Jones S Zhang X Lin J Leary R Angenendt P Mankoo P Carter H Siu I Gallia G Olivi A McLendon R Rasheed B Keir S Nikolskaya T Nikolsky Y Busam D Tekleab H Diaz L Hartigan J Smith D Strausberg R Marie S Shinjo S Yan H Riggins G Bigner D Karchin R Papadopoulos N Parmigiani G Vogelstein B Velculescu V Kinzler K Science 2008 321 1807 1812 18772396 PMC2820389
  29. [29]Yan H Parsons DW Jin GL McLendon R Rasheed BA Yuan WS Kos I Batinic-Haberle I Jones S Riggins GJ Friedman H Friedman A Reardon D Herndon J Kinzler KW Velculescu VE Vogelstein B Bigner DD N Engl J Med 2009 360 765 773 19228619 PMC2820383
  30. [30]Tschoepe D Schultheiss HP Kolarov P Schwippert B Dannehl K Nieuwenhuis HK Kehrel B Strauer B Gries FA Circulation 1993 88 37 42 7686453
  31. [31]Tohami T Drucker L Radnay J Shapira H Lishner M Tissue Antigens 2004 64 235 242 15304003
  32. [32]Al-Nedawi K Meehan B Micallef J Lhotak V May L Guha A Rak J Nat Cell Biol 2008 10 619 624 18425114
  33. [33]Graner M Alzate O Dechkovskaia A Keene J Sampson J Mitchell D Bigner D FASEB J 2009 23 1541 1557 19109410 PMC2669426
  34. [34]Hasselmann D Rappl G Tilgen W Reinhold U Clin Chem Washington, D C 2001 47 1488 1489 11468248
  35. [35]Abu Al-Soud W Jonsson LJ Radstrom P J Clin Microbiol 2000 38 345 350 10618113 PMC88721
  36. [36]Akane A Matsubara K Nakamura H Takahashi S Kimura K J Forensic Sci 1994 39 362 372 8195750
  37. [38]Wilson IG Appl Environ Microbiol 1997 63 3741 3751 9327537 PMC168683
  38. [39]Nagrath S Sequist LV Maheswaran S Bell DW Irimia D Ulkus L Smith MR Kwak EL Digumarthy S Muzikansky A Ryan P Balis UJ Tompkins RG Haber DA Toner M Nature 2007 450 1235 1239 18097410 PMC3090667
  39. [41]Wardle B Saito D Garcia E Hart A de Villoria R Verploegen E Adv Mater 2008 20 2707 2714 25213894
  40. [42]Peluso P Wilson DS Do D Tran H Venkatasubbaiah M Quincy D Heidecker B Poindexter K Tolani N Phelan M Witte K Jung LS Wagner P Nock S Anal Biochem 2003 312 113 124 12531195
  41. [43]Russom A Sethu P Irimia D Mindrinos MN Calvan SE Iris GA Finnerty C Tannahill C Abouhamze A Wilhelmy J Lopez MC Baker HV Herndon DN Lowry SF Maier RV Davis RW Moldawer LL Tompkins RG Toner M Clin Chem Washington, D C 2008 54 891 900 PMC4011019 18375483
  42. [44]Maheswaran S Sequist LV Nagrath S Ulkus L Brannigan B Collura CV Inserra E Diederichs S Iafrate AJ Bell DW Digumarthy S Muzikansky A Irimia D Settleman J Tompkins RG Lynch TJ Toner M Haber DA N Engl J Med 2008 359 366 377 18596266 PMC3551471
  43. [45]Agrawal N Toner M Irimia D Lab Chip 2008 8 2054 2061 19023468 PMC3770894
  44. [46]Taylor DD Lyons KS Gercel-Taylor C Gynecol Oncol 2002 84 443 448 11855885
  45. [47]Taylor DD Taylor CG Jiang C Black PH Int J Cancer 1988 41 629 635 3356493

Cited by

Sorted by citations

Authors
Chen, C., Skog, J., Hsu, C.-H., Lessard, R. T., Balaj, L., Wurdinger, T., Carter, B. S., Breakefield, X. O., Toner, M., & Irimia, D.
Affiliations
Harvard University (US)
Corresponding author
Irimia, Daniel
ORCID
Venue
Lab Chip
Publisher
Royal Society of Chemistry (RSC)
Published
2010
Volume
10
Issue
4
Pages
505-511
ISSN
  • 1473-0189 (ISSN-L)
  • 1473-0197
DOI
10.1039/b916199f
PMC
PMC3136803
OpenAlex
W2097343453
Cited by
572
References
4
Citations by year
2026: 29 · 2025: 41 · 2024: 30 · 2023: 39 · 2022: 47 · 2021: 44 · 2020: 50 · 2019: 55 · 2018: 55 · 2017: 32 · 2016: 31 · 2015: 37 · 2014: 30 · 2013: 17 · 2012: 18
FWCI
4.70
Type
journal article
Language
en
Open access
Locations
  • Lab on a Chip (publishedVersion)
  • PubMed (publishedVersion)
  • Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
  • PubMed Central (acceptedVersion)
  • Pure Amsterdam UMC (submittedVersion)
  • VU Research Portal (submittedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
Funders
  • National Cancer Institute (CA -69246, P01CA069246, P50CA086355, CA 86355)
  • National Institute of Biomedical Imaging and Bioengineering (P41EB002503)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Extracellular vesicles in disease
  • Physical Sciences › Engineering › Biomedical Engineering › Microfluidic and Bio-sensing Technologies
  • Physical Sciences › Engineering › Biomedical Engineering › Microfluidic and Capillary Electrophoresis Applications
Keywords
microvesicles, exosomes, immunoaffinity, serum, transcriptome, RNA extraction, tumor markers, tumor diagnosis, tumor progression
MeSH terms
Antibody Affinity, Cell-Free System, Humans, Neoplasms, RNA, Surface Properties, Time Factors, Culture Media, Conditioned, Point-of-Care Systems, Gene Expression Profiling, Serum, Cell Line, Tumor, Microfluidic Analytical Techniques, Exosomes

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