Quantitating Cell–Cell Interaction Functions with Applications to Glioblastoma Multiforme Cancer Cells
We report on a method for quantitating the distance dependence of cell–cell interactions. We employ a microchip design that permits a multiplex, quantitative protein assay from statistical numbers of cell pairs, as a function of cell separation, with a 0.15 nL volume microchamber. We interrogate int...
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| Veröffentlicht in: | Nano letters 2012-12, Vol.12 (12), p.6101-6106 |
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| container_issue | 12 |
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| container_title | Nano letters |
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| creator | Wang, Jun Tham, Douglas Wei, Wei Shin, Young Shik Ma, Chao Ahmad, Habib Shi, Qihui Yu, Jenkan Levine, Raphael D Heath, James R |
| description | We report on a method for quantitating the distance dependence of cell–cell interactions. We employ a microchip design that permits a multiplex, quantitative protein assay from statistical numbers of cell pairs, as a function of cell separation, with a 0.15 nL volume microchamber. We interrogate interactions between pairs of model brain cancer cells by assaying for six functional proteins associated with PI3k signaling. At short incubation times, cells do not appear to influence each other, regardless of cell separation. For 6 h incubation times, the cells exert an inhibiting influence on each other at short separations and a predominately activating influence at large separation. Protein-specific cell–cell interaction functions are extracted, and by assuming pairwise additivity of those interactions, the functions are shown to correctly predict the results from three-cell experiments carried out under the identical conditions. |
| doi_str_mv | 10.1021/nl302748q |
| format | Article |
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We employ a microchip design that permits a multiplex, quantitative protein assay from statistical numbers of cell pairs, as a function of cell separation, with a 0.15 nL volume microchamber. We interrogate interactions between pairs of model brain cancer cells by assaying for six functional proteins associated with PI3k signaling. At short incubation times, cells do not appear to influence each other, regardless of cell separation. For 6 h incubation times, the cells exert an inhibiting influence on each other at short separations and a predominately activating influence at large separation. Protein-specific cell–cell interaction functions are extracted, and by assuming pairwise additivity of those interactions, the functions are shown to correctly predict the results from three-cell experiments carried out under the identical conditions.</description><identifier>ISSN: 1530-6984</identifier><identifier>EISSN: 1530-6992</identifier><identifier>DOI: 10.1021/nl302748q</identifier><identifier>PMID: 23130660</identifier><language>eng</language><publisher>Washington, DC: American Chemical Society</publisher><subject>Assaying ; Biological and medical sciences ; Brain ; Brain Neoplasms - enzymology ; Brain Neoplasms - metabolism ; Cancer ; Cell Communication ; Cell interactions, adhesion ; Cell Line, Tumor ; Equipment Design ; Fundamental and applied biological sciences. Psychology ; Glioblastoma - enzymology ; Glioblastoma - metabolism ; Humans ; Lab-On-A-Chip Devices ; Mathematical models ; Molecular and cellular biology ; Multiplexing ; Nanostructure ; Phosphatidylinositol 3-Kinases - metabolism ; Proteins ; Separation ; Signal Transduction</subject><ispartof>Nano letters, 2012-12, Vol.12 (12), p.6101-6106</ispartof><rights>Copyright © 2012 American Chemical Society</rights><rights>2014 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a468t-36920a93e6707de454666e365d797ee6685bb09babdc563425ba093351a56ff03</citedby><cites>FETCH-LOGICAL-a468t-36920a93e6707de454666e365d797ee6685bb09babdc563425ba093351a56ff03</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/nl302748q$$EPDF$$P50$$Gacs$$H</linktopdf><linktohtml>$$Uhttps://pubs.acs.org/doi/10.1021/nl302748q$$EHTML$$P50$$Gacs$$H</linktohtml><link.rule.ids>230,314,776,780,881,2752,27053,27901,27902,56713,56763</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=26748813$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23130660$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wang, Jun</creatorcontrib><creatorcontrib>Tham, Douglas</creatorcontrib><creatorcontrib>Wei, Wei</creatorcontrib><creatorcontrib>Shin, Young Shik</creatorcontrib><creatorcontrib>Ma, Chao</creatorcontrib><creatorcontrib>Ahmad, Habib</creatorcontrib><creatorcontrib>Shi, Qihui</creatorcontrib><creatorcontrib>Yu, Jenkan</creatorcontrib><creatorcontrib>Levine, Raphael D</creatorcontrib><creatorcontrib>Heath, James R</creatorcontrib><title>Quantitating Cell–Cell Interaction Functions with Applications to Glioblastoma Multiforme Cancer Cells</title><title>Nano letters</title><addtitle>Nano Lett</addtitle><description>We report on a method for quantitating the distance dependence of cell–cell interactions. We employ a microchip design that permits a multiplex, quantitative protein assay from statistical numbers of cell pairs, as a function of cell separation, with a 0.15 nL volume microchamber. We interrogate interactions between pairs of model brain cancer cells by assaying for six functional proteins associated with PI3k signaling. At short incubation times, cells do not appear to influence each other, regardless of cell separation. For 6 h incubation times, the cells exert an inhibiting influence on each other at short separations and a predominately activating influence at large separation. Protein-specific cell–cell interaction functions are extracted, and by assuming pairwise additivity of those interactions, the functions are shown to correctly predict the results from three-cell experiments carried out under the identical conditions.</description><subject>Assaying</subject><subject>Biological and medical sciences</subject><subject>Brain</subject><subject>Brain Neoplasms - enzymology</subject><subject>Brain Neoplasms - metabolism</subject><subject>Cancer</subject><subject>Cell Communication</subject><subject>Cell interactions, adhesion</subject><subject>Cell Line, Tumor</subject><subject>Equipment Design</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Glioblastoma - enzymology</subject><subject>Glioblastoma - metabolism</subject><subject>Humans</subject><subject>Lab-On-A-Chip Devices</subject><subject>Mathematical models</subject><subject>Molecular and cellular biology</subject><subject>Multiplexing</subject><subject>Nanostructure</subject><subject>Phosphatidylinositol 3-Kinases - metabolism</subject><subject>Proteins</subject><subject>Separation</subject><subject>Signal Transduction</subject><issn>1530-6984</issn><issn>1530-6992</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkd9qFDEUxkNR7B-96AvI3BTsxerJ5M_M3AhlaWuhIoJehzPZTDclk2yTjOJd36Fv2Ccx7a5bhYJX55D8-JLv-wg5pPCeQk0_eMegbnh7s0P2qGAwk11Xv9juLd8l-yldA0DHBLwiuzWjDKSEPbL8OqHPNmO2_qqaG-fub-8eRnXhs4mosw2-Opv845KqnzYvq5PVylmN65McqnNnQ-8w5TBi9Xly2Q4hjqaao9cmPqqm1-TlgC6ZN5t5QL6fnX6bf5pdfjm_mJ9czpDLNs-Y7GrAjhnZQLMwXHAppWFSLJquMUbKVvQ9dD32Cy0k47XosbhigqKQwwDsgHxc666mfjQLbXyO6NQq2hHjLxXQqn9vvF2qq_BDMdkC47QIvNsIxHAzmZTVaJMuFtCbMCVFG1kD77ho_o_WrKXQlKQLerxGdQwpRTNsf0RBPZSotiUW9u3fFrbkn9YKcLQBMGl0Qyw52_TEySLTUvbEoU7qOkzRl-SfefA3xnuyaw</recordid><startdate>20121212</startdate><enddate>20121212</enddate><creator>Wang, Jun</creator><creator>Tham, Douglas</creator><creator>Wei, Wei</creator><creator>Shin, Young Shik</creator><creator>Ma, Chao</creator><creator>Ahmad, Habib</creator><creator>Shi, Qihui</creator><creator>Yu, Jenkan</creator><creator>Levine, Raphael D</creator><creator>Heath, James R</creator><general>American Chemical Society</general><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>7X8</scope><scope>7SR</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>L7M</scope><scope>5PM</scope></search><sort><creationdate>20121212</creationdate><title>Quantitating Cell–Cell Interaction Functions with Applications to Glioblastoma Multiforme Cancer Cells</title><author>Wang, Jun ; Tham, Douglas ; Wei, Wei ; Shin, Young Shik ; Ma, Chao ; Ahmad, Habib ; Shi, Qihui ; Yu, Jenkan ; Levine, Raphael D ; Heath, James R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a468t-36920a93e6707de454666e365d797ee6685bb09babdc563425ba093351a56ff03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Assaying</topic><topic>Biological and medical sciences</topic><topic>Brain</topic><topic>Brain Neoplasms - enzymology</topic><topic>Brain Neoplasms - metabolism</topic><topic>Cancer</topic><topic>Cell Communication</topic><topic>Cell interactions, adhesion</topic><topic>Cell Line, Tumor</topic><topic>Equipment Design</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Glioblastoma - enzymology</topic><topic>Glioblastoma - metabolism</topic><topic>Humans</topic><topic>Lab-On-A-Chip Devices</topic><topic>Mathematical models</topic><topic>Molecular and cellular biology</topic><topic>Multiplexing</topic><topic>Nanostructure</topic><topic>Phosphatidylinositol 3-Kinases - metabolism</topic><topic>Proteins</topic><topic>Separation</topic><topic>Signal Transduction</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Jun</creatorcontrib><creatorcontrib>Tham, Douglas</creatorcontrib><creatorcontrib>Wei, Wei</creatorcontrib><creatorcontrib>Shin, Young Shik</creatorcontrib><creatorcontrib>Ma, Chao</creatorcontrib><creatorcontrib>Ahmad, Habib</creatorcontrib><creatorcontrib>Shi, Qihui</creatorcontrib><creatorcontrib>Yu, Jenkan</creatorcontrib><creatorcontrib>Levine, Raphael D</creatorcontrib><creatorcontrib>Heath, James R</creatorcontrib><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>MEDLINE - Academic</collection><collection>Engineered Materials Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Nano letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Jun</au><au>Tham, Douglas</au><au>Wei, Wei</au><au>Shin, Young Shik</au><au>Ma, Chao</au><au>Ahmad, Habib</au><au>Shi, Qihui</au><au>Yu, Jenkan</au><au>Levine, Raphael D</au><au>Heath, James R</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quantitating Cell–Cell Interaction Functions with Applications to Glioblastoma Multiforme Cancer Cells</atitle><jtitle>Nano letters</jtitle><addtitle>Nano Lett</addtitle><date>2012-12-12</date><risdate>2012</risdate><volume>12</volume><issue>12</issue><spage>6101</spage><epage>6106</epage><pages>6101-6106</pages><issn>1530-6984</issn><eissn>1530-6992</eissn><abstract>We report on a method for quantitating the distance dependence of cell–cell interactions. We employ a microchip design that permits a multiplex, quantitative protein assay from statistical numbers of cell pairs, as a function of cell separation, with a 0.15 nL volume microchamber. We interrogate interactions between pairs of model brain cancer cells by assaying for six functional proteins associated with PI3k signaling. At short incubation times, cells do not appear to influence each other, regardless of cell separation. For 6 h incubation times, the cells exert an inhibiting influence on each other at short separations and a predominately activating influence at large separation. 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| identifier | ISSN: 1530-6984 |
| ispartof | Nano letters, 2012-12, Vol.12 (12), p.6101-6106 |
| issn | 1530-6984 1530-6992 |
| language | eng |
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| source | ACS Publications; MEDLINE |
| subjects | Assaying Biological and medical sciences Brain Brain Neoplasms - enzymology Brain Neoplasms - metabolism Cancer Cell Communication Cell interactions, adhesion Cell Line, Tumor Equipment Design Fundamental and applied biological sciences. Psychology Glioblastoma - enzymology Glioblastoma - metabolism Humans Lab-On-A-Chip Devices Mathematical models Molecular and cellular biology Multiplexing Nanostructure Phosphatidylinositol 3-Kinases - metabolism Proteins Separation Signal Transduction |
| title | Quantitating Cell–Cell Interaction Functions with Applications to Glioblastoma Multiforme Cancer Cells |
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