Identification of Liver Cancer-Specific Aptamers Using Whole Live Cells
Liver cancer is the third most deadly cancers in the world. Unfortunately, there is no effective treatment. One of the major problems is that most cancers are diagnosed in the later stage, when surgical resection is not feasible. Thus, accurate early diagnosis would significantly improve the clinica...
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creator | Shangguan, Dihua Meng, Ling Cao, Zehui Charles Xiao, Zeyu Fang, Xiaohong Li, Ying Cardona, Diana Witek, Rafal P Liu, Chen Tan, Weihong |
description | Liver cancer is the third most deadly cancers in the world. Unfortunately, there is no effective treatment. One of the major problems is that most cancers are diagnosed in the later stage, when surgical resection is not feasible. Thus, accurate early diagnosis would significantly improve the clinical outcome of liver cancer. Currently, there are no effective molecular probes to recognize biomarkers that are specific for liver cancer. The objective of our current study is to identify liver cancer cell-specific molecular probes that could be used for liver cancer recognition and diagnosis. We applied a newly developed cell-SELEX (Systematic Evolution of Ligands by EXponential enrichment) method for the generation of molecular probes for specific recognition of liver cancer cells. The cell-SELEX uses whole live cells as targets to select aptamers (designed DNA/RNA) for cell recognition. In generating aptamers for liver cancer recognition, two liver cell lines were used: a liver cancer cell line BNL 1ME A.7R.1 (MEAR) and a noncancer cell line, BNL CL.2 (BNL). Both cell lines were originally derived from Balb/cJ mice. Through multiple rounds of selection using BNL as a control, we have identified a panel of aptamers that specifically recognize the cancer cell line MEAR with K d in the nanomolar range. We have also demonstrated that some of the selective aptamers could specifically bind liver cancer cells in a mouse model. There are two major new results (compared with our reported cell-SELEX methodology) in addition to the generation of aptamers specifically for liver cancer. The first one is that our current study demonstrates that cell-based aptamer selection can select specific aptamers for multiple cell lines, even for two cell lines with minor differences (MEAR cell is derived from BNL by chemical inducement); and the second result is that cell-SELEX can be used for adhesive cells and thus open the door for solid tumor selection and investigation. The newly generated cancer-specific aptamers hold great promise as molecular probes for cancer early diagnosis and basic mechanism studies. |
doi_str_mv | 10.1021/ac701962v |
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Unfortunately, there is no effective treatment. One of the major problems is that most cancers are diagnosed in the later stage, when surgical resection is not feasible. Thus, accurate early diagnosis would significantly improve the clinical outcome of liver cancer. Currently, there are no effective molecular probes to recognize biomarkers that are specific for liver cancer. The objective of our current study is to identify liver cancer cell-specific molecular probes that could be used for liver cancer recognition and diagnosis. We applied a newly developed cell-SELEX (Systematic Evolution of Ligands by EXponential enrichment) method for the generation of molecular probes for specific recognition of liver cancer cells. The cell-SELEX uses whole live cells as targets to select aptamers (designed DNA/RNA) for cell recognition. In generating aptamers for liver cancer recognition, two liver cell lines were used: a liver cancer cell line BNL 1ME A.7R.1 (MEAR) and a noncancer cell line, BNL CL.2 (BNL). Both cell lines were originally derived from Balb/cJ mice. Through multiple rounds of selection using BNL as a control, we have identified a panel of aptamers that specifically recognize the cancer cell line MEAR with K d in the nanomolar range. We have also demonstrated that some of the selective aptamers could specifically bind liver cancer cells in a mouse model. There are two major new results (compared with our reported cell-SELEX methodology) in addition to the generation of aptamers specifically for liver cancer. The first one is that our current study demonstrates that cell-based aptamer selection can select specific aptamers for multiple cell lines, even for two cell lines with minor differences (MEAR cell is derived from BNL by chemical inducement); and the second result is that cell-SELEX can be used for adhesive cells and thus open the door for solid tumor selection and investigation. The newly generated cancer-specific aptamers hold great promise as molecular probes for cancer early diagnosis and basic mechanism studies.</description><identifier>ISSN: 0003-2700</identifier><identifier>EISSN: 1520-6882</identifier><identifier>DOI: 10.1021/ac701962v</identifier><identifier>PMID: 18177018</identifier><identifier>CODEN: ANCHAM</identifier><language>eng</language><publisher>Washington, DC: American Chemical Society</publisher><subject>Animal tumors. Experimental tumors ; Animals ; Aptamers, Nucleotide - genetics ; Base Sequence ; Binding Sites ; Biological and medical sciences ; Cancer ; Cell Differentiation - genetics ; Cell Differentiation - physiology ; Cell Line, Tumor ; Cellular biology ; DNA - genetics ; DNA - metabolism ; Experimental digestive system and abdominal tumors ; Liver ; Liver Neoplasms - chemistry ; Liver Neoplasms - genetics ; Liver Neoplasms - pathology ; Medical diagnosis ; Medical sciences ; Mice ; Mice, Inbred BALB C ; Molecular Sequence Data ; Peptides ; RNA - genetics ; RNA - metabolism ; SELEX Aptamer Technique - methods ; Studies ; Tumors</subject><ispartof>Analytical chemistry (Washington), 2008-02, Vol.80 (3), p.721-728</ispartof><rights>Copyright © 2008 American Chemical Society</rights><rights>2008 INIST-CNRS</rights><rights>Copyright American Chemical Society Feb 1, 2008</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a474t-8eb6ded29d440cdc9441bb1d12cfccd1b8b14471178470125734bdb5f92195103</citedby><cites>FETCH-LOGICAL-a474t-8eb6ded29d440cdc9441bb1d12cfccd1b8b14471178470125734bdb5f92195103</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://pubs.acs.org/doi/pdf/10.1021/ac701962v$$EPDF$$P50$$Gacs$$H</linktopdf><linktohtml>$$Uhttps://pubs.acs.org/doi/10.1021/ac701962v$$EHTML$$P50$$Gacs$$H</linktohtml><link.rule.ids>314,780,784,2765,27076,27924,27925,56738,56788</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=20081553$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/18177018$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Shangguan, Dihua</creatorcontrib><creatorcontrib>Meng, Ling</creatorcontrib><creatorcontrib>Cao, Zehui Charles</creatorcontrib><creatorcontrib>Xiao, Zeyu</creatorcontrib><creatorcontrib>Fang, Xiaohong</creatorcontrib><creatorcontrib>Li, Ying</creatorcontrib><creatorcontrib>Cardona, Diana</creatorcontrib><creatorcontrib>Witek, Rafal P</creatorcontrib><creatorcontrib>Liu, Chen</creatorcontrib><creatorcontrib>Tan, Weihong</creatorcontrib><title>Identification of Liver Cancer-Specific Aptamers Using Whole Live Cells</title><title>Analytical chemistry (Washington)</title><addtitle>Anal. Chem</addtitle><description>Liver cancer is the third most deadly cancers in the world. Unfortunately, there is no effective treatment. One of the major problems is that most cancers are diagnosed in the later stage, when surgical resection is not feasible. Thus, accurate early diagnosis would significantly improve the clinical outcome of liver cancer. Currently, there are no effective molecular probes to recognize biomarkers that are specific for liver cancer. The objective of our current study is to identify liver cancer cell-specific molecular probes that could be used for liver cancer recognition and diagnosis. We applied a newly developed cell-SELEX (Systematic Evolution of Ligands by EXponential enrichment) method for the generation of molecular probes for specific recognition of liver cancer cells. The cell-SELEX uses whole live cells as targets to select aptamers (designed DNA/RNA) for cell recognition. In generating aptamers for liver cancer recognition, two liver cell lines were used: a liver cancer cell line BNL 1ME A.7R.1 (MEAR) and a noncancer cell line, BNL CL.2 (BNL). Both cell lines were originally derived from Balb/cJ mice. Through multiple rounds of selection using BNL as a control, we have identified a panel of aptamers that specifically recognize the cancer cell line MEAR with K d in the nanomolar range. We have also demonstrated that some of the selective aptamers could specifically bind liver cancer cells in a mouse model. There are two major new results (compared with our reported cell-SELEX methodology) in addition to the generation of aptamers specifically for liver cancer. The first one is that our current study demonstrates that cell-based aptamer selection can select specific aptamers for multiple cell lines, even for two cell lines with minor differences (MEAR cell is derived from BNL by chemical inducement); and the second result is that cell-SELEX can be used for adhesive cells and thus open the door for solid tumor selection and investigation. The newly generated cancer-specific aptamers hold great promise as molecular probes for cancer early diagnosis and basic mechanism studies.</description><subject>Animal tumors. Experimental tumors</subject><subject>Animals</subject><subject>Aptamers, Nucleotide - genetics</subject><subject>Base Sequence</subject><subject>Binding Sites</subject><subject>Biological and medical sciences</subject><subject>Cancer</subject><subject>Cell Differentiation - genetics</subject><subject>Cell Differentiation - physiology</subject><subject>Cell Line, Tumor</subject><subject>Cellular biology</subject><subject>DNA - genetics</subject><subject>DNA - metabolism</subject><subject>Experimental digestive system and abdominal tumors</subject><subject>Liver</subject><subject>Liver Neoplasms - chemistry</subject><subject>Liver Neoplasms - genetics</subject><subject>Liver Neoplasms - pathology</subject><subject>Medical diagnosis</subject><subject>Medical sciences</subject><subject>Mice</subject><subject>Mice, Inbred BALB C</subject><subject>Molecular Sequence Data</subject><subject>Peptides</subject><subject>RNA - genetics</subject><subject>RNA - metabolism</subject><subject>SELEX Aptamer Technique - methods</subject><subject>Studies</subject><subject>Tumors</subject><issn>0003-2700</issn><issn>1520-6882</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpl0F1P2zAUBmALbYLyccEfmKJJIHGRcY7jxM4lqjZA6gaopeXOcmxnM0uTYqeI_XvctWql7coX5zmvjl9CThG-IFC8VJoDlgV93SMDzCmkhRD0AxkAQJZSDnBADkN4BkAELPbJAQrkcUUMyPWtsW3vaqdV77o26epk5F6tT4aq1dan44XVq2lytejV3PqQPAbX_kxmv7rG_qXJ0DZNOCYfa9UEe7J5j8jjt6-T4U06uru-HV6NUsU461Nhq8JYQ0vDGGijS8awqtAg1bXWBitRIWMckQsWD6Q5z1hlqrwuKZY5QnZEzte5C9-9LG3o5dwFHS9Qre2WQXKgLO6ICD__A5-7pW_jbZLGdCGyvIjoYo2070LwtpYL7-bK_5EIclWt3FYb7adN4LKaW7OTmy4jONsAFbRqah8bdGHrKIDAPM-iS9fOhd6-befK_5YFz3guJ_djORn9eHr4Pp3J6S5X6bD7xP8HvgPsdJnR</recordid><startdate>20080201</startdate><enddate>20080201</enddate><creator>Shangguan, Dihua</creator><creator>Meng, Ling</creator><creator>Cao, Zehui Charles</creator><creator>Xiao, Zeyu</creator><creator>Fang, Xiaohong</creator><creator>Li, Ying</creator><creator>Cardona, Diana</creator><creator>Witek, Rafal P</creator><creator>Liu, Chen</creator><creator>Tan, Weihong</creator><general>American Chemical Society</general><scope>BSCLL</scope><scope>IQODW</scope><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>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7TA</scope><scope>7TB</scope><scope>7TM</scope><scope>7U5</scope><scope>7U7</scope><scope>7U9</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>H94</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>P64</scope><scope>7X8</scope></search><sort><creationdate>20080201</creationdate><title>Identification of Liver Cancer-Specific Aptamers Using Whole Live Cells</title><author>Shangguan, Dihua ; Meng, Ling ; Cao, Zehui Charles ; Xiao, Zeyu ; Fang, Xiaohong ; Li, Ying ; Cardona, Diana ; Witek, Rafal P ; Liu, Chen ; Tan, Weihong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a474t-8eb6ded29d440cdc9441bb1d12cfccd1b8b14471178470125734bdb5f92195103</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Animal tumors. Experimental tumors</topic><topic>Animals</topic><topic>Aptamers, Nucleotide - genetics</topic><topic>Base Sequence</topic><topic>Binding Sites</topic><topic>Biological and medical sciences</topic><topic>Cancer</topic><topic>Cell Differentiation - genetics</topic><topic>Cell Differentiation - physiology</topic><topic>Cell Line, Tumor</topic><topic>Cellular biology</topic><topic>DNA - genetics</topic><topic>DNA - metabolism</topic><topic>Experimental digestive system and abdominal tumors</topic><topic>Liver</topic><topic>Liver Neoplasms - chemistry</topic><topic>Liver Neoplasms - genetics</topic><topic>Liver Neoplasms - pathology</topic><topic>Medical diagnosis</topic><topic>Medical sciences</topic><topic>Mice</topic><topic>Mice, Inbred BALB C</topic><topic>Molecular Sequence Data</topic><topic>Peptides</topic><topic>RNA - genetics</topic><topic>RNA - metabolism</topic><topic>SELEX Aptamer Technique - methods</topic><topic>Studies</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shangguan, Dihua</creatorcontrib><creatorcontrib>Meng, Ling</creatorcontrib><creatorcontrib>Cao, Zehui Charles</creatorcontrib><creatorcontrib>Xiao, Zeyu</creatorcontrib><creatorcontrib>Fang, Xiaohong</creatorcontrib><creatorcontrib>Li, Ying</creatorcontrib><creatorcontrib>Cardona, Diana</creatorcontrib><creatorcontrib>Witek, Rafal P</creatorcontrib><creatorcontrib>Liu, Chen</creatorcontrib><creatorcontrib>Tan, Weihong</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Analytical chemistry (Washington)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shangguan, Dihua</au><au>Meng, Ling</au><au>Cao, Zehui Charles</au><au>Xiao, Zeyu</au><au>Fang, Xiaohong</au><au>Li, Ying</au><au>Cardona, Diana</au><au>Witek, Rafal P</au><au>Liu, Chen</au><au>Tan, Weihong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identification of Liver Cancer-Specific Aptamers Using Whole Live Cells</atitle><jtitle>Analytical chemistry (Washington)</jtitle><addtitle>Anal. Chem</addtitle><date>2008-02-01</date><risdate>2008</risdate><volume>80</volume><issue>3</issue><spage>721</spage><epage>728</epage><pages>721-728</pages><issn>0003-2700</issn><eissn>1520-6882</eissn><coden>ANCHAM</coden><abstract>Liver cancer is the third most deadly cancers in the world. Unfortunately, there is no effective treatment. One of the major problems is that most cancers are diagnosed in the later stage, when surgical resection is not feasible. Thus, accurate early diagnosis would significantly improve the clinical outcome of liver cancer. Currently, there are no effective molecular probes to recognize biomarkers that are specific for liver cancer. The objective of our current study is to identify liver cancer cell-specific molecular probes that could be used for liver cancer recognition and diagnosis. We applied a newly developed cell-SELEX (Systematic Evolution of Ligands by EXponential enrichment) method for the generation of molecular probes for specific recognition of liver cancer cells. The cell-SELEX uses whole live cells as targets to select aptamers (designed DNA/RNA) for cell recognition. In generating aptamers for liver cancer recognition, two liver cell lines were used: a liver cancer cell line BNL 1ME A.7R.1 (MEAR) and a noncancer cell line, BNL CL.2 (BNL). Both cell lines were originally derived from Balb/cJ mice. Through multiple rounds of selection using BNL as a control, we have identified a panel of aptamers that specifically recognize the cancer cell line MEAR with K d in the nanomolar range. We have also demonstrated that some of the selective aptamers could specifically bind liver cancer cells in a mouse model. There are two major new results (compared with our reported cell-SELEX methodology) in addition to the generation of aptamers specifically for liver cancer. The first one is that our current study demonstrates that cell-based aptamer selection can select specific aptamers for multiple cell lines, even for two cell lines with minor differences (MEAR cell is derived from BNL by chemical inducement); and the second result is that cell-SELEX can be used for adhesive cells and thus open the door for solid tumor selection and investigation. The newly generated cancer-specific aptamers hold great promise as molecular probes for cancer early diagnosis and basic mechanism studies.</abstract><cop>Washington, DC</cop><pub>American Chemical Society</pub><pmid>18177018</pmid><doi>10.1021/ac701962v</doi><tpages>8</tpages></addata></record> |
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subjects | Animal tumors. Experimental tumors Animals Aptamers, Nucleotide - genetics Base Sequence Binding Sites Biological and medical sciences Cancer Cell Differentiation - genetics Cell Differentiation - physiology Cell Line, Tumor Cellular biology DNA - genetics DNA - metabolism Experimental digestive system and abdominal tumors Liver Liver Neoplasms - chemistry Liver Neoplasms - genetics Liver Neoplasms - pathology Medical diagnosis Medical sciences Mice Mice, Inbred BALB C Molecular Sequence Data Peptides RNA - genetics RNA - metabolism SELEX Aptamer Technique - methods Studies Tumors |
title | Identification of Liver Cancer-Specific Aptamers Using Whole Live Cells |
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