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Cancer cell line-specific protein profiles in extracellular vesicles identified by proteomics
Extracellular vesicles (EVs), are important for intercellular communication in both physiological and pathological processes. To explore the potential of cancer derived EVs as disease biomarkers for diagnosis, monitoring, and treatment decision, it is necessary to thoroughly characterize their biomo...
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| Published in: | PloS one 2020-09, Vol.15 (9), p.e0238591 |
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| creator | Guerreiro, Eduarda M Øvstebø, Reidun Thiede, Bernd Costea, Daniela Elena Søland, Tine M Kanli Galtung, Hilde |
| description | Extracellular vesicles (EVs), are important for intercellular communication in both physiological and pathological processes. To explore the potential of cancer derived EVs as disease biomarkers for diagnosis, monitoring, and treatment decision, it is necessary to thoroughly characterize their biomolecular content. The aim of the study was to characterize and compare the protein content of EVs derived from three different cancer cell lines in search of a specific molecular signature, with emphasis on proteins related to the carcinogenic process. Oral squamous cell carcinoma (OSCC), pancreatic ductal adenocarcinoma (PDAC) and melanoma brain metastasis cell lines were cultured in CELLine AD1000 flasks. EVs were isolated by ultrafiltration and size-exclusion chromatography and characterized. Next, the isolated EVs underwent liquid chromatography-mass spectrometry (LC-MS) analysis for protein identification. Functional enrichment analysis was performed for a more general overview of the biological processes involved. More than 600 different proteins were identified in EVs from each particular cell line. Here, 14%, 10%, and 24% of the identified proteins were unique in OSCC, PDAC, and melanoma vesicles, respectively. A specific protein profile was discovered for each cell line, e.g., EGFR in OSCC, Muc5AC in PDAC, and FN1 in melanoma vesicles. Nevertheless, 25% of all the identified proteins were common to all cell lines. Functional enrichment analysis linked the proteins in each data set to biological processes such as "biological adhesion", "cell motility", and "cellular component biogenesis". EV proteomics discovered cancer-specific protein profiles, with proteins involved in processes promoting tumor progression. In addition, the biological processes associated to the melanoma-derived EVs were distinct from the ones linked to the EVs isolated from OSCC and PDAC. The malignancy specific biomolecular cues in EVs may have potential applications as diagnostic biomarkers and in therapy. |
| doi_str_mv | 10.1371/journal.pone.0238591 |
| format | article |
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To explore the potential of cancer derived EVs as disease biomarkers for diagnosis, monitoring, and treatment decision, it is necessary to thoroughly characterize their biomolecular content. The aim of the study was to characterize and compare the protein content of EVs derived from three different cancer cell lines in search of a specific molecular signature, with emphasis on proteins related to the carcinogenic process. Oral squamous cell carcinoma (OSCC), pancreatic ductal adenocarcinoma (PDAC) and melanoma brain metastasis cell lines were cultured in CELLine AD1000 flasks. EVs were isolated by ultrafiltration and size-exclusion chromatography and characterized. Next, the isolated EVs underwent liquid chromatography-mass spectrometry (LC-MS) analysis for protein identification. Functional enrichment analysis was performed for a more general overview of the biological processes involved. More than 600 different proteins were identified in EVs from each particular cell line. Here, 14%, 10%, and 24% of the identified proteins were unique in OSCC, PDAC, and melanoma vesicles, respectively. A specific protein profile was discovered for each cell line, e.g., EGFR in OSCC, Muc5AC in PDAC, and FN1 in melanoma vesicles. Nevertheless, 25% of all the identified proteins were common to all cell lines. Functional enrichment analysis linked the proteins in each data set to biological processes such as "biological adhesion", "cell motility", and "cellular component biogenesis". EV proteomics discovered cancer-specific protein profiles, with proteins involved in processes promoting tumor progression. In addition, the biological processes associated to the melanoma-derived EVs were distinct from the ones linked to the EVs isolated from OSCC and PDAC. The malignancy specific biomolecular cues in EVs may have potential applications as diagnostic biomarkers and in therapy.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0238591</identifier><identifier>PMID: 32886718</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adenocarcinoma ; Biological activity ; Biology ; Biology and Life Sciences ; Biomarkers ; Biomarkers, Tumor - analysis ; Biosynthesis ; Biotechnology ; Blood ; Brain Neoplasms - chemistry ; Brain Neoplasms - diagnosis ; Brain Neoplasms - pathology ; Brain Neoplasms - secondary ; Cancer ; Cancer cells ; Cancer research ; Carcinogens ; Carcinoma, Pancreatic Ductal - chemistry ; Carcinoma, Pancreatic Ductal - diagnosis ; Carcinoma, Pancreatic Ductal - pathology ; Carcinoma, Squamous Cell - chemistry ; Carcinoma, Squamous Cell - diagnosis ; Carcinoma, Squamous Cell - pathology ; Cell culture ; Cell Line, Tumor ; Cell signaling ; Chromatography ; Decision making ; Dentistry ; Development and progression ; Diagnosis ; Diagnostic software ; Diagnostic systems ; Disease ; Epidermal growth factor receptors ; Extracellular vesicles ; Extracellular Vesicles - chemistry ; Extracellular Vesicles - pathology ; Flasks ; Health aspects ; Hospitals ; Humans ; Liquid chromatography ; Malignancy ; Mass Spectrometry ; Mass spectroscopy ; Medical treatment ; Medicine and Health Sciences ; Melanoma ; Melanoma - chemistry ; Melanoma - diagnosis ; Melanoma - pathology ; Metastases ; Metastasis ; Mouth cancer ; Mouth Neoplasms - chemistry ; Mouth Neoplasms - diagnosis ; Mouth Neoplasms - pathology ; Neoplasms - chemistry ; Neoplasms - diagnosis ; Neoplasms - pathology ; Ontology ; Oral squamous cell carcinoma ; Organelles ; Pancreas ; Pancreatic cancer ; Pancreatic carcinoma ; Pancreatic Neoplasms - chemistry ; Pancreatic Neoplasms - diagnosis ; Pancreatic Neoplasms - pathology ; Pathology ; Physiological aspects ; Proteins ; Proteins - analysis ; Proteomics ; Research and Analysis Methods ; Scientific imaging ; Size exclusion chromatography ; Skin cancer ; Squamous cell carcinoma ; Supervision ; Tumor cell lines ; Ultrafiltration ; Vesicles</subject><ispartof>PloS one, 2020-09, Vol.15 (9), p.e0238591</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Guerreiro et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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To explore the potential of cancer derived EVs as disease biomarkers for diagnosis, monitoring, and treatment decision, it is necessary to thoroughly characterize their biomolecular content. The aim of the study was to characterize and compare the protein content of EVs derived from three different cancer cell lines in search of a specific molecular signature, with emphasis on proteins related to the carcinogenic process. Oral squamous cell carcinoma (OSCC), pancreatic ductal adenocarcinoma (PDAC) and melanoma brain metastasis cell lines were cultured in CELLine AD1000 flasks. EVs were isolated by ultrafiltration and size-exclusion chromatography and characterized. Next, the isolated EVs underwent liquid chromatography-mass spectrometry (LC-MS) analysis for protein identification. Functional enrichment analysis was performed for a more general overview of the biological processes involved. More than 600 different proteins were identified in EVs from each particular cell line. 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The malignancy specific biomolecular cues in EVs may have potential applications as diagnostic biomarkers and in therapy.</description><subject>Adenocarcinoma</subject><subject>Biological activity</subject><subject>Biology</subject><subject>Biology and Life Sciences</subject><subject>Biomarkers</subject><subject>Biomarkers, Tumor - analysis</subject><subject>Biosynthesis</subject><subject>Biotechnology</subject><subject>Blood</subject><subject>Brain Neoplasms - chemistry</subject><subject>Brain Neoplasms - diagnosis</subject><subject>Brain Neoplasms - pathology</subject><subject>Brain Neoplasms - secondary</subject><subject>Cancer</subject><subject>Cancer cells</subject><subject>Cancer research</subject><subject>Carcinogens</subject><subject>Carcinoma, Pancreatic Ductal - chemistry</subject><subject>Carcinoma, Pancreatic Ductal - diagnosis</subject><subject>Carcinoma, Pancreatic Ductal - pathology</subject><subject>Carcinoma, Squamous Cell - chemistry</subject><subject>Carcinoma, Squamous Cell - diagnosis</subject><subject>Carcinoma, Squamous Cell - pathology</subject><subject>Cell culture</subject><subject>Cell Line, Tumor</subject><subject>Cell signaling</subject><subject>Chromatography</subject><subject>Decision making</subject><subject>Dentistry</subject><subject>Development and progression</subject><subject>Diagnosis</subject><subject>Diagnostic software</subject><subject>Diagnostic systems</subject><subject>Disease</subject><subject>Epidermal growth factor receptors</subject><subject>Extracellular vesicles</subject><subject>Extracellular Vesicles - chemistry</subject><subject>Extracellular Vesicles - pathology</subject><subject>Flasks</subject><subject>Health aspects</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Liquid chromatography</subject><subject>Malignancy</subject><subject>Mass Spectrometry</subject><subject>Mass spectroscopy</subject><subject>Medical treatment</subject><subject>Medicine and Health Sciences</subject><subject>Melanoma</subject><subject>Melanoma - chemistry</subject><subject>Melanoma - diagnosis</subject><subject>Melanoma - pathology</subject><subject>Metastases</subject><subject>Metastasis</subject><subject>Mouth cancer</subject><subject>Mouth Neoplasms - chemistry</subject><subject>Mouth Neoplasms - diagnosis</subject><subject>Mouth Neoplasms - pathology</subject><subject>Neoplasms - chemistry</subject><subject>Neoplasms - diagnosis</subject><subject>Neoplasms - pathology</subject><subject>Ontology</subject><subject>Oral squamous cell carcinoma</subject><subject>Organelles</subject><subject>Pancreas</subject><subject>Pancreatic cancer</subject><subject>Pancreatic carcinoma</subject><subject>Pancreatic Neoplasms - chemistry</subject><subject>Pancreatic Neoplasms - diagnosis</subject><subject>Pancreatic Neoplasms - pathology</subject><subject>Pathology</subject><subject>Physiological aspects</subject><subject>Proteins</subject><subject>Proteins - analysis</subject><subject>Proteomics</subject><subject>Research and Analysis Methods</subject><subject>Scientific imaging</subject><subject>Size exclusion chromatography</subject><subject>Skin cancer</subject><subject>Squamous cell carcinoma</subject><subject>Supervision</subject><subject>Tumor cell lines</subject><subject>Ultrafiltration</subject><subject>Vesicles</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>3HK</sourceid><sourceid>DOA</sourceid><recordid>eNqNk1tr2zAUx83YWLtu32BsgcHYHpJZV0svgxJ2CRQKu70NIUvHiYojpZJd1m8_uXFKPPow9CAh_f7n6NyK4iUqF4hU6MNV6KPX7WIXPCxKTAST6FFxiiTBc45L8vjofFI8S-mqLBkRnD8tTggWgldInBa_l9obiDMDbTtrnYd52oFxjTOzXQwdOD_sjWshzfIZ_nRRD2zf6ji7geTM3YsF32UR2Fl9uxeGrTPpefGk0W2CF-N-Vvz8_OnH8uv84vLLanl-MTcV4t1cEG0ayyWtkUaC14A00SDqUiAhmqYW3NSWc1kJKxm2jDdVzaThAkuJpBXkrHi9t7trQ1JjZpLClJZYMF7RTKz2hA36Su2i2-p4q4J26u4ixLXSsRuiUUCs1MCYxQhRDEgiDU2tG8OY1DUevH0cvfX1FqzJsUfdToxOX7zbqHW4URWtCENH3zXRpc555UPUCpWCYSUQEjIT70YXMVz3kDq1dWnIu_YQ-n1ktEKS4oy--Qd9OP6RWuscovNNGAo5GFXnnFAqKaqGjy0eoPKykMuZG21ohKng_USQmS73yFr3KanV92__z17-mrJvj9gN6LbbpND2nQs-TUF6SGVIKUJzXwZUqmFODtlQw5yocU6y7NVxCe9Fh8EgfwEJJg1W</recordid><startdate>20200904</startdate><enddate>20200904</enddate><creator>Guerreiro, Eduarda M</creator><creator>Øvstebø, Reidun</creator><creator>Thiede, Bernd</creator><creator>Costea, Daniela Elena</creator><creator>Søland, Tine M</creator><creator>Kanli Galtung, Hilde</creator><general>Public Library of Science</general><general>PLOS</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>3HK</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-7825-3540</orcidid></search><sort><creationdate>20200904</creationdate><title>Cancer cell line-specific protein profiles in extracellular vesicles identified by proteomics</title><author>Guerreiro, Eduarda M ; Øvstebø, Reidun ; Thiede, Bernd ; Costea, Daniela Elena ; Søland, Tine M ; Kanli Galtung, Hilde</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c716t-83acfd694b1a186be1a3ae8b08188ffb86cbd66978d952d56f7b59c6829919d83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adenocarcinoma</topic><topic>Biological activity</topic><topic>Biology</topic><topic>Biology and Life Sciences</topic><topic>Biomarkers</topic><topic>Biomarkers, Tumor - 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chemistry</topic><topic>Pancreatic Neoplasms - diagnosis</topic><topic>Pancreatic Neoplasms - pathology</topic><topic>Pathology</topic><topic>Physiological aspects</topic><topic>Proteins</topic><topic>Proteins - analysis</topic><topic>Proteomics</topic><topic>Research and Analysis Methods</topic><topic>Scientific imaging</topic><topic>Size exclusion chromatography</topic><topic>Skin cancer</topic><topic>Squamous cell carcinoma</topic><topic>Supervision</topic><topic>Tumor cell lines</topic><topic>Ultrafiltration</topic><topic>Vesicles</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Guerreiro, Eduarda M</creatorcontrib><creatorcontrib>Øvstebø, Reidun</creatorcontrib><creatorcontrib>Thiede, Bernd</creatorcontrib><creatorcontrib>Costea, Daniela Elena</creatorcontrib><creatorcontrib>Søland, Tine M</creatorcontrib><creatorcontrib>Kanli Galtung, Hilde</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>ProQuest Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health Medical collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Agricultural & Environmental Science</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Databases</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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Academic</collection><collection>NORA - Norwegian Open Research Archives</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Guerreiro, Eduarda M</au><au>Øvstebø, Reidun</au><au>Thiede, Bernd</au><au>Costea, Daniela Elena</au><au>Søland, Tine M</au><au>Kanli Galtung, Hilde</au><au>Horowitz, Arie</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Cancer cell line-specific protein profiles in extracellular vesicles identified by proteomics</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2020-09-04</date><risdate>2020</risdate><volume>15</volume><issue>9</issue><spage>e0238591</spage><pages>e0238591-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Extracellular vesicles (EVs), are important for intercellular communication in both physiological and pathological processes. To explore the potential of cancer derived EVs as disease biomarkers for diagnosis, monitoring, and treatment decision, it is necessary to thoroughly characterize their biomolecular content. The aim of the study was to characterize and compare the protein content of EVs derived from three different cancer cell lines in search of a specific molecular signature, with emphasis on proteins related to the carcinogenic process. Oral squamous cell carcinoma (OSCC), pancreatic ductal adenocarcinoma (PDAC) and melanoma brain metastasis cell lines were cultured in CELLine AD1000 flasks. EVs were isolated by ultrafiltration and size-exclusion chromatography and characterized. Next, the isolated EVs underwent liquid chromatography-mass spectrometry (LC-MS) analysis for protein identification. Functional enrichment analysis was performed for a more general overview of the biological processes involved. More than 600 different proteins were identified in EVs from each particular cell line. Here, 14%, 10%, and 24% of the identified proteins were unique in OSCC, PDAC, and melanoma vesicles, respectively. A specific protein profile was discovered for each cell line, e.g., EGFR in OSCC, Muc5AC in PDAC, and FN1 in melanoma vesicles. Nevertheless, 25% of all the identified proteins were common to all cell lines. Functional enrichment analysis linked the proteins in each data set to biological processes such as "biological adhesion", "cell motility", and "cellular component biogenesis". EV proteomics discovered cancer-specific protein profiles, with proteins involved in processes promoting tumor progression. In addition, the biological processes associated to the melanoma-derived EVs were distinct from the ones linked to the EVs isolated from OSCC and PDAC. The malignancy specific biomolecular cues in EVs may have potential applications as diagnostic biomarkers and in therapy.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>32886718</pmid><doi>10.1371/journal.pone.0238591</doi><tpages>e0238591</tpages><orcidid>https://orcid.org/0000-0001-7825-3540</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2020-09, Vol.15 (9), p.e0238591 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_2440285674 |
| source | NORA - Norwegian Open Research Archives; Publicly Available Content Database; PubMed |
| subjects | Adenocarcinoma Biological activity Biology Biology and Life Sciences Biomarkers Biomarkers, Tumor - analysis Biosynthesis Biotechnology Blood Brain Neoplasms - chemistry Brain Neoplasms - diagnosis Brain Neoplasms - pathology Brain Neoplasms - secondary Cancer Cancer cells Cancer research Carcinogens Carcinoma, Pancreatic Ductal - chemistry Carcinoma, Pancreatic Ductal - diagnosis Carcinoma, Pancreatic Ductal - pathology Carcinoma, Squamous Cell - chemistry Carcinoma, Squamous Cell - diagnosis Carcinoma, Squamous Cell - pathology Cell culture Cell Line, Tumor Cell signaling Chromatography Decision making Dentistry Development and progression Diagnosis Diagnostic software Diagnostic systems Disease Epidermal growth factor receptors Extracellular vesicles Extracellular Vesicles - chemistry Extracellular Vesicles - pathology Flasks Health aspects Hospitals Humans Liquid chromatography Malignancy Mass Spectrometry Mass spectroscopy Medical treatment Medicine and Health Sciences Melanoma Melanoma - chemistry Melanoma - diagnosis Melanoma - pathology Metastases Metastasis Mouth cancer Mouth Neoplasms - chemistry Mouth Neoplasms - diagnosis Mouth Neoplasms - pathology Neoplasms - chemistry Neoplasms - diagnosis Neoplasms - pathology Ontology Oral squamous cell carcinoma Organelles Pancreas Pancreatic cancer Pancreatic carcinoma Pancreatic Neoplasms - chemistry Pancreatic Neoplasms - diagnosis Pancreatic Neoplasms - pathology Pathology Physiological aspects Proteins Proteins - analysis Proteomics Research and Analysis Methods Scientific imaging Size exclusion chromatography Skin cancer Squamous cell carcinoma Supervision Tumor cell lines Ultrafiltration Vesicles |
| title | Cancer cell line-specific protein profiles in extracellular vesicles identified by proteomics |
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