Use of statistical methods to find the polysaccharide structural characteristics and the relationships between monosaccharide composition ratio and macrophage stimulatory activity of regionally different strains of Lentinula edodes
Multiple linear regression analysis was used to deduce the correlation between the monosaccharide composition ratios of 10 regionally different strains of Lentinula edodes and their in vitro macrophage stimulatory activities. Arabinose, xylose, mannose and galactose were identified as the monosaccha...
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| Veröffentlicht in: | Analytica chimica acta 2007-02, Vol.584 (1), p.50-56 |
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| creator | Lo, Tiffany Chien Ting Jiang, Yi Huei Chao, Anne Lien Ju Chang, Cheng Allen |
| description | Multiple linear regression analysis was used to deduce the correlation between the monosaccharide composition ratios of 10 regionally different strains of
Lentinula edodes and their
in vitro macrophage stimulatory activities. Arabinose, xylose, mannose and galactose were identified as the monosaccharides that could be related to macrophage stimulatory activities. Additional principal component analysis and factor analysis methods were used to treat the same monosaccharide composition ratio data and the compositions of arabinose, xylose, mannose and galactose were found to be important. Interestingly, glucose, although presented in large compositions in all strains presumably forms the backbone of the polysaccharide structures, is not selected as the determinant factor for either structural characteristics or that of the
in vitro macrophage stimulatory activities. |
| doi_str_mv | 10.1016/j.aca.2006.10.051 |
| format | Article |
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Lentinula edodes and their
in vitro macrophage stimulatory activities. Arabinose, xylose, mannose and galactose were identified as the monosaccharides that could be related to macrophage stimulatory activities. Additional principal component analysis and factor analysis methods were used to treat the same monosaccharide composition ratio data and the compositions of arabinose, xylose, mannose and galactose were found to be important. Interestingly, glucose, although presented in large compositions in all strains presumably forms the backbone of the polysaccharide structures, is not selected as the determinant factor for either structural characteristics or that of the
in vitro macrophage stimulatory activities.</description><identifier>ISSN: 0003-2670</identifier><identifier>EISSN: 1873-4324</identifier><identifier>DOI: 10.1016/j.aca.2006.10.051</identifier><identifier>PMID: 17386584</identifier><identifier>CODEN: ACACAM</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Analytical chemistry ; Animals ; Cell Line ; Chemistry ; Exact sciences and technology ; Factor analysis ; Lentinula edodes ; Macrophage stimulatory activity ; Macrophages - drug effects ; Macrophages - physiology ; Mice ; Mice, Inbred BALB C ; Monosaccharides - analysis ; Monosaccharides - pharmacology ; Multiple linear regression analysis ; Polysaccharide ; Polysaccharides - chemistry ; Polysaccharides - isolation & purification ; Polysaccharides - pharmacology ; Principal component analysis ; Regression Analysis ; Shiitake Mushrooms - chemistry ; Shiitake Mushrooms - classification</subject><ispartof>Analytica chimica acta, 2007-02, Vol.584 (1), p.50-56</ispartof><rights>2006 Elsevier B.V.</rights><rights>2007 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c412t-91291ed363211d7df3a6f2675e4ddc9791264fad50ef41d78bfb8467947a6ad93</citedby><cites>FETCH-LOGICAL-c412t-91291ed363211d7df3a6f2675e4ddc9791264fad50ef41d78bfb8467947a6ad93</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.aca.2006.10.051$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>315,781,785,3551,27928,27929,45999</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=18467181$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/17386584$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lo, Tiffany Chien Ting</creatorcontrib><creatorcontrib>Jiang, Yi Huei</creatorcontrib><creatorcontrib>Chao, Anne Lien Ju</creatorcontrib><creatorcontrib>Chang, Cheng Allen</creatorcontrib><title>Use of statistical methods to find the polysaccharide structural characteristics and the relationships between monosaccharide composition ratio and macrophage stimulatory activity of regionally different strains of Lentinula edodes</title><title>Analytica chimica acta</title><addtitle>Anal Chim Acta</addtitle><description>Multiple linear regression analysis was used to deduce the correlation between the monosaccharide composition ratios of 10 regionally different strains of
Lentinula edodes and their
in vitro macrophage stimulatory activities. Arabinose, xylose, mannose and galactose were identified as the monosaccharides that could be related to macrophage stimulatory activities. Additional principal component analysis and factor analysis methods were used to treat the same monosaccharide composition ratio data and the compositions of arabinose, xylose, mannose and galactose were found to be important. Interestingly, glucose, although presented in large compositions in all strains presumably forms the backbone of the polysaccharide structures, is not selected as the determinant factor for either structural characteristics or that of the
in vitro macrophage stimulatory activities.</description><subject>Analytical chemistry</subject><subject>Animals</subject><subject>Cell Line</subject><subject>Chemistry</subject><subject>Exact sciences and technology</subject><subject>Factor analysis</subject><subject>Lentinula edodes</subject><subject>Macrophage stimulatory activity</subject><subject>Macrophages - drug effects</subject><subject>Macrophages - physiology</subject><subject>Mice</subject><subject>Mice, Inbred BALB C</subject><subject>Monosaccharides - analysis</subject><subject>Monosaccharides - pharmacology</subject><subject>Multiple linear regression analysis</subject><subject>Polysaccharide</subject><subject>Polysaccharides - chemistry</subject><subject>Polysaccharides - isolation & purification</subject><subject>Polysaccharides - pharmacology</subject><subject>Principal component analysis</subject><subject>Regression Analysis</subject><subject>Shiitake Mushrooms - chemistry</subject><subject>Shiitake Mushrooms - classification</subject><issn>0003-2670</issn><issn>1873-4324</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFks-O1DAMxisEYoeFB-CCcoHbDEnTpq04oRX_pJG4sOcqkzg7GbVNidNFfWJeA2dnpOUEp8jO7_vi2C6K14LvBBfq_Wmnjd6VnCuKd7wWT4qNaBu5rWRZPS02nHO5LVXDr4oXiCcKS8Gr58WVaGSr6rbaFL9vEVhwDJNOHpM3emAjpGOwyFJgzk-WpSOwOQwramOOOnoLhMfFpCUSnVPaJIgPcmT6oogwkGWY8OhnZAdIvwAmNoYp_OVjwjgH9JljMeMP8lGbGOajvssP-XEhoxBXRq_4e5_WXG-EO9LoYViZ9c5BhCnlqrSfMN_vKfYTKRnYYAFfFs-cHhBeXc7r4vbzpx83X7f771--3Xzcb00lyrTtRNkJsFLJUgjbWCe1ctTBGiprTdfQvaqctjUHVxHQHtyhrVTTVY1W2nbyunh39p1j-LkApn70aGAY9ARhwb7hUigp_g-KrilrJWsCxRmkniBGcP0c_ajj2gve5zXoTz2tQZ_XIKdoDUjz5mK-HEawj4rL3Al4ewE00shd1JPx-MjlP4k2G304c0A9u_cQezQeJgPWRzCpt8H_o4w_BSHYAA</recordid><startdate>20070212</startdate><enddate>20070212</enddate><creator>Lo, Tiffany Chien Ting</creator><creator>Jiang, Yi Huei</creator><creator>Chao, Anne Lien Ju</creator><creator>Chang, Cheng Allen</creator><general>Elsevier B.V</general><general>Elsevier</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>7QO</scope><scope>7T7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>M7N</scope><scope>P64</scope><scope>7X8</scope></search><sort><creationdate>20070212</creationdate><title>Use of statistical methods to find the polysaccharide structural characteristics and the relationships between monosaccharide composition ratio and macrophage stimulatory activity of regionally different strains of Lentinula edodes</title><author>Lo, Tiffany Chien Ting ; Jiang, Yi Huei ; Chao, Anne Lien Ju ; Chang, Cheng Allen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c412t-91291ed363211d7df3a6f2675e4ddc9791264fad50ef41d78bfb8467947a6ad93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Analytical chemistry</topic><topic>Animals</topic><topic>Cell Line</topic><topic>Chemistry</topic><topic>Exact sciences and technology</topic><topic>Factor analysis</topic><topic>Lentinula edodes</topic><topic>Macrophage stimulatory activity</topic><topic>Macrophages - drug effects</topic><topic>Macrophages - physiology</topic><topic>Mice</topic><topic>Mice, Inbred BALB C</topic><topic>Monosaccharides - analysis</topic><topic>Monosaccharides - pharmacology</topic><topic>Multiple linear regression analysis</topic><topic>Polysaccharide</topic><topic>Polysaccharides - chemistry</topic><topic>Polysaccharides - isolation & purification</topic><topic>Polysaccharides - pharmacology</topic><topic>Principal component analysis</topic><topic>Regression Analysis</topic><topic>Shiitake Mushrooms - chemistry</topic><topic>Shiitake Mushrooms - classification</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lo, Tiffany Chien Ting</creatorcontrib><creatorcontrib>Jiang, Yi Huei</creatorcontrib><creatorcontrib>Chao, Anne Lien Ju</creatorcontrib><creatorcontrib>Chang, Cheng Allen</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>Biotechnology Research Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Analytica chimica acta</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lo, Tiffany Chien Ting</au><au>Jiang, Yi Huei</au><au>Chao, Anne Lien Ju</au><au>Chang, Cheng Allen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Use of statistical methods to find the polysaccharide structural characteristics and the relationships between monosaccharide composition ratio and macrophage stimulatory activity of regionally different strains of Lentinula edodes</atitle><jtitle>Analytica chimica acta</jtitle><addtitle>Anal Chim Acta</addtitle><date>2007-02-12</date><risdate>2007</risdate><volume>584</volume><issue>1</issue><spage>50</spage><epage>56</epage><pages>50-56</pages><issn>0003-2670</issn><eissn>1873-4324</eissn><coden>ACACAM</coden><abstract>Multiple linear regression analysis was used to deduce the correlation between the monosaccharide composition ratios of 10 regionally different strains of
Lentinula edodes and their
in vitro macrophage stimulatory activities. Arabinose, xylose, mannose and galactose were identified as the monosaccharides that could be related to macrophage stimulatory activities. Additional principal component analysis and factor analysis methods were used to treat the same monosaccharide composition ratio data and the compositions of arabinose, xylose, mannose and galactose were found to be important. Interestingly, glucose, although presented in large compositions in all strains presumably forms the backbone of the polysaccharide structures, is not selected as the determinant factor for either structural characteristics or that of the
in vitro macrophage stimulatory activities.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><pmid>17386584</pmid><doi>10.1016/j.aca.2006.10.051</doi><tpages>7</tpages></addata></record> |
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| subjects | Analytical chemistry Animals Cell Line Chemistry Exact sciences and technology Factor analysis Lentinula edodes Macrophage stimulatory activity Macrophages - drug effects Macrophages - physiology Mice Mice, Inbred BALB C Monosaccharides - analysis Monosaccharides - pharmacology Multiple linear regression analysis Polysaccharide Polysaccharides - chemistry Polysaccharides - isolation & purification Polysaccharides - pharmacology Principal component analysis Regression Analysis Shiitake Mushrooms - chemistry Shiitake Mushrooms - classification |
| title | Use of statistical methods to find the polysaccharide structural characteristics and the relationships between monosaccharide composition ratio and macrophage stimulatory activity of regionally different strains of Lentinula edodes |
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