journal article·2023-12-12Open access

Nanoprojectile Secondary Ion Mass Spectrometry Enables Multiplexed Analysis of Individual Hepatic Extracellular Vesicles

Seonhwa Lee, Dmitriy S. Verkhoturov, Michael J. Eller, Stanislav V. Verkhoturov, Michael A. Shaw, Kihak Gwon, Yohan Kim, Fabrice Lucien, Harmeet Malhi, Alexander Revzin, Emile A. Schweikert

ACS Nano· Volume 17· Issue 23

Abstract

Extracellular vesicles (EVs) are nanoscale lipid bilayer particles secreted by cells. EVs may carry markers of the tissue of origin and its disease state, which makes them incredibly promising for disease diagnosis and surveillance. While the armamentarium of EV analysis technologies is rapidly expanding, there remains a strong need for multiparametric analysis with single EV resolution. Nanoprojectile (NP) secondary ion mass spectrometry (NP-SIMS) relies on bombarding a substrate of interest with individual gold NPs resolved in time and space. Each projectile creates an impact crater of 10–20 nm in diameter while molecules emitted from each impact are mass analyzed and recorded as individual mass spectra. We demonstrate the utility of NP-SIMS for statistical analysis of single EVs derived from normal liver cells (hepatocytes) and liver cancer cells. EVs were captured on antibody (Ab)-functionalized gold substrate and then labeled with Abs carrying lanthanide (Ln) MS tags (Ab@Ln). These tags targeted four markers selected for identifying all EVs, and specific to hepatocytes or liver cancer. NP-SIMS was used to detect Ab@Ln-tags colocalized on the same EV and to construct scatter plots of surface marker expression for thousands of EVs with the capability of categorizing individual EVs. Additionally, NP-SIMS revealed information about the chemical nanoenvironment where targeted moieties colocalized. Our approach allowed analysis of population heterogeneity with single EV resolution and distinguishing between hepatocyte and liver cancer EVs based on surface marker expression. NP-SIMS holds considerable promise for multiplexed analysis of single EVs and may become a valuable tool for identifying and validating EV biomarkers of cancer and other diseases.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Extracellular vesicles in disease · Nanopore and Nanochannel Transport Studies · Mass Spectrometry Techniques and Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, Minnesota 55905, United States

Department of Chemistry, Texas A&M University, College Station, Texas 77843, United States

Department of Chemistry and Biochemistry, California State University Northridge, Northridge, California 91330, United States

Department of Urology, Mayo Clinic, Rochester, Minnesota 55905, United States

Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota 55905, United States

Funding

National Cancer Institute · National Institute of General Medical Sciences

References (58)

Show source-provided references
1. 10.3322/caac.2149210.3322/caac.21492 ↗
2. 10.1016/j.cgh.2016.07.03310.1016/j.cgh.2016.07.033 ↗
3. 10.1093/jnci/djab07910.1093/jnci/djab079 ↗
4. 10.1039/C4CS00370E10.1039/C4CS00370E ↗
5. 10.3978/j.issn.2218-676X.2015.06.0410.3978/j.issn.2218-676X.2015.06.04 ↗
6. 10.3390/cells906137010.3390/cells9061370 ↗
7. 10.1038/nature0638510.1038/nature06385 ↗
8. 10.1126/scitranslmed.300040310.1126/scitranslmed.3000403 ↗
9. 10.1146/annurev-med-062310-09421910.1146/annurev-med-062310-094219 ↗
10. 10.1056/NEJMoa121326110.1056/NEJMoa1213261 ↗
11. 10.1016/S0140-6736(02)07746-210.1016/S0140-6736(02)07746-2 ↗
12. 10.1016/j.jhep.2017.02.02410.1016/j.jhep.2017.02.024 ↗
13. 10.3390/ijms1805104310.3390/ijms18051043 ↗
14. 10.3390/ijms2118654310.3390/ijms21186543 ↗
15. 10.1038/s12276-019-0218-210.1038/s12276-019-0218-2 ↗
16. 10.1021/pr501279t10.1021/pr501279t ↗
17. 10.1021/acs.analchem.8b0375610.1021/acs.analchem.8b03756 ↗
18. 10.1039/D1RA04305F10.1039/D1RA04305F ↗
19. 10.1016/j.cell.2016.04.01910.1016/j.cell.2016.04.019 ↗
20. 10.1016/j.snr.2021.10005210.1016/j.snr.2021.100052 ↗
21. 10.1038/s41598-017-10448-110.1038/s41598-017-10448-1 ↗
22. 10.1038/srep3435810.1038/srep34358 ↗
23. 10.3402/jev.v4.2853310.3402/jev.v4.28533 ↗
24. 10.1080/20013078.2019.169702810.1080/20013078.2019.1697028 ↗
25. 10.1039/D0NR05525E10.1039/D0NR05525E ↗
26. 10.1002/jev2.1213010.1002/jev2.12130 ↗
27. 10.1002/jev2.1220610.1002/jev2.12206 ↗
28. 10.1039/D2NR01160C10.1039/D2NR01160C ↗
29. 10.1016/j.ijrobp.2022.05.03710.1016/j.ijrobp.2022.05.037 ↗
30. 10.1021/acs.analchem.6b0146610.1021/acs.analchem.6b01466 ↗
31. 10.1021/acs.analchem.8b0295010.1021/acs.analchem.8b02950 ↗
32. 10.1021/acs.analchem.8b0371510.1021/acs.analchem.8b03715 ↗
33. 10.1002/sia.500910.1002/sia.5009 ↗
34. 10.1016/j.ijms.2011.01.00110.1016/j.ijms.2011.01.001 ↗
35. 10.1021/ac201608510.1021/ac2016085 ↗
36. 10.1117/1.JMM.18.2.02350410.1117/1.JMM.18.2.023504 ↗
37. 10.1063/1.505392310.1063/1.5053923 ↗
38. 10.1016/j.ijms.2012.10.00310.1016/j.ijms.2012.10.003 ↗
39. 10.1021/acs.analchem.2c0030310.1021/acs.analchem.2c00303 ↗
40. 10.1021/ac801461510.1021/ac8014615 ↗
41. 10.1021/acs.analchem.1c0068910.1021/acs.analchem.1c00689 ↗
42. 10.1021/acssensors.2c0207710.1021/acssensors.2c02077 ↗
43. 10.1038/s41596-018-0016-710.1038/s41596-018-0016-7 ↗
44. 10.3390/ijms23241621710.3390/ijms232416217 ↗
45. 10.1053/j.gastro.2009.04.00510.1053/j.gastro.2009.04.005 ↗
46. 10.1039/D2NH00424K10.1039/D2NH00424K ↗
47. 10.1186/s12951-018-0372-z10.1186/s12951-018-0372-z ↗
48. 10.1002/smll.20200815510.1002/smll.202008155 ↗
49. 10.1016/j.bios.2023.11514210.1016/j.bios.2023.115142 ↗
50. 10.1016/j.nano.2021.10243010.1016/j.nano.2021.102430 ↗
51. 10.1111/liv.1422310.1111/liv.14223 ↗
52. 10.1021/acs.analchem.1c0174610.1021/acs.analchem.1c01746 ↗
53. 10.1021/acs.analchem.2c0299010.1021/acs.analchem.2c02990 ↗
54. 10.3390/ijms1501005810.3390/ijms15010058 ↗
55. 10.1016/S0002-9440(10)63352-410.1016/S0002-9440(10)63352-4 ↗
56. 10.1055/s-0040-170144410.1055/s-0040-1701444 ↗
57. 10.1021/acsami.1c1450610.1021/acsami.1c14506 ↗
58. 10.1021/acs.langmuir.2c0021710.1021/acs.langmuir.2c00217 ↗