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For: Krafft C, Wilhelm K, Eremin A, Nestel S, von Bubnoff N, Schultze-seemann W, Popp J, Nazarenko I. A specific spectral signature of serum and plasma-derived extracellular vesicles for cancer screening. Nanomedicine: Nanotechnology, Biology and Medicine 2017;13:835-41. [DOI: 10.1016/j.nano.2016.11.016] [Cited by in Crossref: 35] [Cited by in F6Publishing: 34] [Article Influence: 7.0] [Reference Citation Analysis]
Number Citing Articles
1 Wang T, Xing Y, Cheng Z, Yu F. Analysis of Single Extracellular Vesicles for Biomedical Applications with Especial Emphasis on Cancer Investigations. TrAC Trends in Analytical Chemistry 2022. [DOI: 10.1016/j.trac.2022.116604] [Reference Citation Analysis]
2 Qian H, Shao X, Zhang H, Wang Y, Liu S, Pan J, Xue W. Diagnosis of urogenital cancer combining deep learning algorithms and surface-enhanced Raman spectroscopy based on small extracellular vesicles. Spectrochim Acta A Mol Biomol Spectrosc 2022;281:121603. [PMID: 35868057 DOI: 10.1016/j.saa.2022.121603] [Reference Citation Analysis]
3 George SK, Lauková L, Weiss R, Semak V, Fendl B, Weiss VU, Steinberger S, Allmaier G, Tripisciano C, Weber V. Comparative Analysis of Platelet-Derived Extracellular Vesicles Using Flow Cytometry and Nanoparticle Tracking Analysis. Int J Mol Sci 2021;22:3839. [PMID: 33917210 DOI: 10.3390/ijms22083839] [Reference Citation Analysis]
4 Imanbekova M, Suarasan S, Rojalin T, Mizenko RR, Hilt S, Mathur M, Lepine P, Nicouleau M, Mohamed NV, Durcan TM, Carney RP, Voss JC, Wachsmann-Hogiu S. Identification of amyloid beta in small extracellular vesicles via Raman spectroscopy. Nanoscale Adv 2021;3:4119-32. [PMID: 34355118 DOI: 10.1039/d1na00330e] [Reference Citation Analysis]
5 Agarwala PK, Aneja R, Kapoor S. Lipidomic landscape in cancer: Actionable insights for membrane-based therapy and diagnoses. Med Res Rev 2021. [PMID: 34719798 DOI: 10.1002/med.21868] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
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7 Morasso CF, Sproviero D, Mimmi MC, Giannini M, Gagliardi S, Vanna R, Diamanti L, Bernuzzi S, Piccotti F, Truffi M, Pansarasa O, Corsi F, Cereda C. Raman spectroscopy reveals biochemical differences in plasma derived extracellular vesicles from sporadic Amyotrophic Lateral Sclerosis patients. Nanomedicine 2020;29:102249. [PMID: 32599162 DOI: 10.1016/j.nano.2020.102249] [Cited by in Crossref: 6] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
8 Tantussi F, Messina GC, Capozza R, Dipalo M, Lovato L, De Angelis F. Long-Range Capture and Delivery of Water-Dispersed Nano-objects by Microbubbles Generated on 3D Plasmonic Surfaces. ACS Nano 2018;12:4116-22. [PMID: 29589906 DOI: 10.1021/acsnano.7b07893] [Cited by in Crossref: 25] [Cited by in F6Publishing: 20] [Article Influence: 6.3] [Reference Citation Analysis]
9 Johnsen KB, Gudbergsson JM, Andresen TL, Simonsen JB. What is the blood concentration of extracellular vesicles? Implications for the use of extracellular vesicles as blood-borne biomarkers of cancer. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer 2019;1871:109-16. [DOI: 10.1016/j.bbcan.2018.11.006] [Cited by in Crossref: 57] [Cited by in F6Publishing: 60] [Article Influence: 19.0] [Reference Citation Analysis]
10 Tao SC, Guo SC, Zhang CQ. Platelet-derived Extracellular Vesicles: An Emerging Therapeutic Approach. Int J Biol Sci 2017;13:828-34. [PMID: 28808416 DOI: 10.7150/ijbs.19776] [Cited by in Crossref: 62] [Cited by in F6Publishing: 67] [Article Influence: 12.4] [Reference Citation Analysis]
11 Potter M, Hanson C, Anderson AJ, Vargis E, Britt DW. Abiotic stressors impact outer membrane vesicle composition in a beneficial rhizobacterium: Raman spectroscopy characterization. Sci Rep 2020;10:21289. [PMID: 33277560 DOI: 10.1038/s41598-020-78357-4] [Reference Citation Analysis]
12 González-cebrián A, Almenar-pérez E, Xu J, Yu T, Huang WE, Giménez-orenga K, Hutchinson S, Lodge T, Nathanson L, Morten KJ, Ferrer A, Oltra E. Diagnosis of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome With Partial Least Squares Discriminant Analysis: Relevance of Blood Extracellular Vesicles. Front Med 2022;9:842991. [DOI: 10.3389/fmed.2022.842991] [Reference Citation Analysis]
13 Liu C, Xu X, Li B, Situ B, Pan W, Hu Y, An T, Yao S, Zheng L. Single-Exosome-Counting Immunoassays for Cancer Diagnostics. Nano Lett 2018;18:4226-32. [PMID: 29888919 DOI: 10.1021/acs.nanolett.8b01184] [Cited by in Crossref: 122] [Cited by in F6Publishing: 107] [Article Influence: 30.5] [Reference Citation Analysis]
14 Rojalin T, Koster HJ, Liu J, Mizenko RR, Tran D, Wachsmann-Hogiu S, Carney RP. Hybrid Nanoplasmonic Porous Biomaterial Scaffold for Liquid Biopsy Diagnostics Using Extracellular Vesicles. ACS Sens 2020;5:2820-33. [PMID: 32935542 DOI: 10.1021/acssensors.0c00953] [Cited by in Crossref: 21] [Cited by in F6Publishing: 16] [Article Influence: 10.5] [Reference Citation Analysis]
15 Gualerzi A, Kooijmans SAA, Niada S, Picciolini S, Brini AT, Camussi G, Bedoni M. Raman spectroscopy as a quick tool to assess purity of extracellular vesicle preparations and predict their functionality. J Extracell Vesicles 2019;8:1568780. [PMID: 30728924 DOI: 10.1080/20013078.2019.1568780] [Cited by in Crossref: 33] [Cited by in F6Publishing: 33] [Article Influence: 11.0] [Reference Citation Analysis]
16 Zini J, Saari H, Ciana P, Viitala T, Lõhmus A, Saarinen J, Yliperttula M. Infrared and Raman spectroscopy for purity assessment of extracellular vesicles. Eur J Pharm Sci 2022;:106135. [PMID: 35121019 DOI: 10.1016/j.ejps.2022.106135] [Reference Citation Analysis]
17 Rasuleva K, Elamurugan S, Bauer A, Khan M, Wen Q, Li Z, Steen P, Guo A, Xia W, Mathew S, Jansen R, Sun D. β-Sheet Richness of the Circulating Tumor-Derived Extracellular Vesicles for Noninvasive Pancreatic Cancer Screening. ACS Sens 2021;6:4489-98. [PMID: 34846848 DOI: 10.1021/acssensors.1c02022] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
18 Rojalin T, Phong B, Koster HJ, Carney RP. Nanoplasmonic Approaches for Sensitive Detection and Molecular Characterization of Extracellular Vesicles. Front Chem 2019;7:279. [PMID: 31134179 DOI: 10.3389/fchem.2019.00279] [Cited by in Crossref: 30] [Cited by in F6Publishing: 27] [Article Influence: 10.0] [Reference Citation Analysis]
19 Osei EB, Paniushkina L, Wilhelm K, Popp J, Nazarenko I, Krafft C. Surface-Enhanced Raman Spectroscopy to Characterize Different Fractions of Extracellular Vesicles from Control and Prostate Cancer Patients. Biomedicines 2021;9:580. [PMID: 34065470 DOI: 10.3390/biomedicines9050580] [Reference Citation Analysis]
20 Gualerzi A, Niada S, Giannasi C, Picciolini S, Morasso C, Vanna R, Rossella V, Masserini M, Bedoni M, Ciceri F, Bernardo ME, Brini AT, Gramatica F. Raman spectroscopy uncovers biochemical tissue-related features of extracellular vesicles from mesenchymal stromal cells. Sci Rep 2017;7:9820. [PMID: 28852131 DOI: 10.1038/s41598-017-10448-1] [Cited by in Crossref: 48] [Cited by in F6Publishing: 47] [Article Influence: 9.6] [Reference Citation Analysis]
21 Su KY, Lee WL. Fourier Transform Infrared Spectroscopy as a Cancer Screening and Diagnostic Tool: A Review and Prospects. Cancers (Basel) 2020;12:E115. [PMID: 31906324 DOI: 10.3390/cancers12010115] [Cited by in Crossref: 28] [Cited by in F6Publishing: 22] [Article Influence: 14.0] [Reference Citation Analysis]
22 Nawaz M, Fatima F, Squire JA. Mining Extracellular Vesicles for Clinically Relevant Noninvasive Diagnostic Biomarkers in Cancer. In: Wang J, editor. Novel Implications of Exosomes in Diagnosis and Treatment of Cancer and Infectious Diseases. InTech; 2017. [DOI: 10.5772/intechopen.69406] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.2] [Reference Citation Analysis]
23 Gualerzi A, Picciolini S, Carlomagno C, Terenzi F, Ramat S, Sorbi S, Bedoni M. Raman profiling of circulating extracellular vesicles for the stratification of Parkinson's patients. Nanomedicine 2019;22:102097. [PMID: 31648040 DOI: 10.1016/j.nano.2019.102097] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.7] [Reference Citation Analysis]
24 Zlotogorski-hurvitz A, Dekel BZ, Malonek D, Yahalom R, Vered M. FTIR-based spectrum of salivary exosomes coupled with computational-aided discriminating analysis in the diagnosis of oral cancer. J Cancer Res Clin Oncol 2019;145:685-94. [DOI: 10.1007/s00432-018-02827-6] [Cited by in Crossref: 42] [Cited by in F6Publishing: 32] [Article Influence: 14.0] [Reference Citation Analysis]
25 Beekman P, Enciso-Martinez A, Rho HS, Pujari SP, Lenferink A, Zuilhof H, Terstappen LWMM, Otto C, Le Gac S. Immuno-capture of extracellular vesicles for individual multi-modal characterization using AFM, SEM and Raman spectroscopy. Lab Chip 2019;19:2526-36. [PMID: 31292600 DOI: 10.1039/c9lc00081j] [Cited by in Crossref: 26] [Cited by in F6Publishing: 11] [Article Influence: 13.0] [Reference Citation Analysis]
26 Salvi S, Bandini E, Carloni S, Casadio V, Battistelli M, Salucci S, Erani I, Scarpi E, Gunelli R, Cicchetti G, Guescini M, Bonafè M, Fabbri F. Detection and Investigation of Extracellular Vesicles in Serum and Urine Supernatant of Prostate Cancer Patients. Diagnostics (Basel) 2021;11:466. [PMID: 33800141 DOI: 10.3390/diagnostics11030466] [Cited by in Crossref: 4] [Article Influence: 4.0] [Reference Citation Analysis]
27 Perut F, Graziani G, Roncuzzi L, Zini N, Avnet S, Baldini N. FT-IR Spectral Signature of Sensitive and Multidrug-Resistant Osteosarcoma Cell-Derived Extracellular Nanovesicles. Cells 2022;11:778. [DOI: 10.3390/cells11050778] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
28 Ferguson S, Yang KS, Weissleder R. Single extracellular vesicle analysis for early cancer detection. Trends in Molecular Medicine 2022. [DOI: 10.1016/j.molmed.2022.05.003] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
29 van der Pol E, de Rond L, Coumans FA, Gool EL, Böing AN, Sturk A, Nieuwland R, van Leeuwen TG. Absolute sizing and label-free identification of extracellular vesicles by flow cytometry. Nanomedicine: Nanotechnology, Biology and Medicine 2018;14:801-10. [DOI: 10.1016/j.nano.2017.12.012] [Cited by in Crossref: 51] [Cited by in F6Publishing: 48] [Article Influence: 12.8] [Reference Citation Analysis]
30 Di Santo R, Romanò S, Mazzini A, Jovanović S, Nocca G, Campi G, Papi M, De Spirito M, Di Giacinto F, Ciasca G. Recent Advances in the Label-Free Characterization of Exosomes for Cancer Liquid Biopsy: From Scattering and Spectroscopy to Nanoindentation and Nanodevices. Nanomaterials (Basel) 2021;11:1476. [PMID: 34199576 DOI: 10.3390/nano11061476] [Reference Citation Analysis]
31 Penders J, Nagelkerke A, Cunnane EM, Pedersen SV, Pence IJ, Coombes RC, Stevens MM. Single Particle Automated Raman Trapping Analysis of Breast Cancer Cell-Derived Extracellular Vesicles as Cancer Biomarkers. ACS Nano 2021. [PMID: 34735133 DOI: 10.1021/acsnano.1c07075] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
32 Romanò S, Di Giacinto F, Primiano A, Mazzini A, Panzetta C, Papi M, Di Gaspare A, Ortolani M, Gervasoni J, De Spirito M, Nocca G, Ciasca G. Fourier Transform Infrared Spectroscopy as a useful tool for the automated classification of cancer cell-derived exosomes obtained under different culture conditions. Anal Chim Acta 2020;1140:219-27. [PMID: 33218484 DOI: 10.1016/j.aca.2020.09.037] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
33 Lukose J, M SP, N M, Barik AK, Pai KM, Unnikrishnan VK, George SD, Kartha VB, Chidangil S. Photonics of human saliva: potential optical methods for the screening of abnormal health conditions and infections. Biophys Rev 2021;:1-27. [PMID: 34093888 DOI: 10.1007/s12551-021-00807-8] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
34 Szentirmai V, Wacha A, Németh C, Kitka D, Rácz A, Héberger K, Mihály J, Varga Z. Reagent-free total protein quantification of intact extracellular vesicles by attenuated total reflection Fourier transform infrared (ATR-FTIR) spectroscopy. Anal Bioanal Chem 2020;412:4619-28. [PMID: 32472144 DOI: 10.1007/s00216-020-02711-8] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
35 Ullah R, Khan S, Farman F, Bilal M, Krafft C, Shahzad S. Demonstrating the application of Raman spectroscopy together with chemometric technique for screening of asthma disease. Biomed Opt Express 2019;10:600-9. [PMID: 30800502 DOI: 10.1364/BOE.10.000600] [Cited by in Crossref: 14] [Article Influence: 4.7] [Reference Citation Analysis]
36 Imanbekova M, Suarasan S, Lu Y, Jurchuk S, Wachsmann-hogiu S. Recent advances in optical label-free characterization of extracellular vesicles. Nanophotonics 2022;0. [DOI: 10.1515/nanoph-2022-0057] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
37 Canetta E. Current and Future Advancements of Raman Spectroscopy Techniques in Cancer Nanomedicine. Int J Mol Sci 2021;22:13141. [PMID: 34884946 DOI: 10.3390/ijms222313141] [Reference Citation Analysis]
38 Rikkert LG, Beekman P, Caro J, Coumans FAW, Enciso-Martinez A, Jenster G, Le Gac S, Lee W, van Leeuwen TG, Loozen GB, Nanou A, Nieuwland R, Offerhaus HL, Otto C, Pegtel DM, Piontek MC, van der Pol E, de Rond L, Roos WH, Schasfoort RBM, Wauben MHM, Zuilhof H, Terstappen LWMM. Cancer-ID: Toward Identification of Cancer by Tumor-Derived Extracellular Vesicles in Blood. Front Oncol 2020;10:608. [PMID: 32582525 DOI: 10.3389/fonc.2020.00608] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]
39 Grieve S, Puvvada N, Phinyomark A, Russell K, Murugesan A, Zed E, Hassan A, Legare JF, Kienesberger PC, Pulinilkunnil T, Reiman T, Scheme E, R Brunt K. Nanoparticle surface-enhanced Raman spectroscopy as a noninvasive, label-free tool to monitor hematological malignancy. Nanomedicine (Lond) 2021;16:2175-88. [PMID: 34547916 DOI: 10.2217/nnm-2021-0076] [Reference Citation Analysis]
40 Aguilar-Hernández I, Cárdenas-Chavez DL, López-Luke T, García-García A, Herrera-Domínguez M, Pisano E, Ornelas-Soto N. Discrimination of radiosensitive and radioresistant murine lymphoma cells by Raman spectroscopy and SERS. Biomed Opt Express 2020;11:388-405. [PMID: 32010523 DOI: 10.1364/BOE.11.000388] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
41 Roman M, Kamińska A, Drożdż A, Platt M, Kuźniewski M, Małecki MT, Kwiatek WM, Paluszkiewicz C, Stępień EŁ. Raman spectral signatures of urinary extracellular vesicles from diabetic patients and hyperglycemic endothelial cells as potential biomarkers in diabetes. Nanomedicine 2019;17:137-49. [PMID: 30703535 DOI: 10.1016/j.nano.2019.01.011] [Cited by in Crossref: 6] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
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43 Ullah R, Khan S, Ali H, Chaudhary II, Bilal M, Ahmad I. A comparative study of machine learning classifiers for risk prediction of asthma disease. Photodiagnosis Photodyn Ther 2019;28:292-6. [PMID: 31614223 DOI: 10.1016/j.pdpdt.2019.10.011] [Cited by in Crossref: 7] [Cited by in F6Publishing: 6] [Article Influence: 2.3] [Reference Citation Analysis]
44 Lombardi M, Parolisi R, Scaroni F, Bonfanti E, Gualerzi A, Gabrielli M, Kerlero de Rosbo N, Uccelli A, Giussani P, Viani P, Garlanda C, Abbracchio MP, Chaabane L, Buffo A, Fumagalli M, Verderio C. Detrimental and protective action of microglial extracellular vesicles on myelin lesions: astrocyte involvement in remyelination failure. Acta Neuropathol 2019;138:987-1012. [PMID: 31363836 DOI: 10.1007/s00401-019-02049-1] [Cited by in Crossref: 71] [Cited by in F6Publishing: 66] [Article Influence: 23.7] [Reference Citation Analysis]
45 Huber M, Kepesidis KV, Voronina L, Božić M, Trubetskov M, Harbeck N, Krausz F, Žigman M. Stability of person-specific blood-based infrared molecular fingerprints opens up prospects for health monitoring. Nat Commun 2021;12:1511. [PMID: 33686065 DOI: 10.1038/s41467-021-21668-5] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
46 Kamińska A, Roman M, Wróbel A, Gala-Błądzińska A, Małecki MT Prof, Paluszkiewicz C, Stępień EŁ Prof. Raman spectroscopy of urinary extracellular vesicles to stratify patients with chronic kidney disease in type 2 diabetes. Nanomedicine 2022;39:102468. [PMID: 34619362 DOI: 10.1016/j.nano.2021.102468] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
47 Yan Z, Dutta S, Liu Z, Yu X, Mesgarzadeh N, Ji F, Bitan G, Xie YH. A Label-Free Platform for Identification of Exosomes from Different Sources. ACS Sens 2019;4:488-97. [PMID: 30644736 DOI: 10.1021/acssensors.8b01564] [Cited by in Crossref: 60] [Cited by in F6Publishing: 52] [Article Influence: 20.0] [Reference Citation Analysis]
48 Polito R, Musto M, Temperini ME, Ballerini L, Ortolani M, Baldassarre L, Casalis L, Giliberti V. Infrared Nanospectroscopy of Individual Extracellular Microvesicles. Molecules 2021;26:887. [PMID: 33567597 DOI: 10.3390/molecules26040887] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
49 Ramirez-Garrastacho M, Bajo-Santos C, Line A, Martens-Uzunova ES, de la Fuente JM, Moros M, Soekmadji C, Tasken KA, Llorente A. Extracellular vesicles as a source of prostate cancer biomarkers in liquid biopsies: a decade of research. Br J Cancer 2021. [PMID: 34811504 DOI: 10.1038/s41416-021-01610-8] [Reference Citation Analysis]