Metadata of the article that will be visualized in OnlineFirst
Polysaccharides, the most abundant biopolymers, are required for a host of activities in lower organisms, animals, and plants. Their solution characterization is challenging due to their complex shape, heterogeneity, and size. Here, recently developed data analysis approaches were applied for tradi...
| Main Authors: | , , , , , , |
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| Format: | Article |
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Springer Verlag
2016
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| Online Access: | https://eprints.nottingham.ac.uk/35329/ |
| _version_ | 1848795054033862656 |
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| author | Gillis, Richard B. Adams, Gary G. Besong, David T. M. Machova, Eva Ebringerova, Anna Harding, Stephen E. Patel, Trushar R. |
| author_facet | Gillis, Richard B. Adams, Gary G. Besong, David T. M. Machova, Eva Ebringerova, Anna Harding, Stephen E. Patel, Trushar R. |
| author_sort | Gillis, Richard B. |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | Polysaccharides, the most abundant biopolymers, are required for a host of activities in lower organisms,
animals, and plants. Their solution characterization is challenging due to their complex shape, heterogeneity, and size. Here, recently developed data analysis approaches were applied for traditional sedimentation equilibrium and velocity methods in order to investigate the molar mass distribution(s) of a subtype of polysaccharide, namely, mannans from four Candida spp. The molecular weight distributions of these mannans were studied using two recently developed equilibrium approaches: SEDFIT-MSTAR and MULTISIG, resulting in corroboratory distribution profiles. Additionally, sedimentation velocity data for all four mannans, analyzed using ls-g*(s) and Extended Fujita approaches, suggest that two of the fungal mannans (FM-1 and FM-3) have a unimodal distribution of molecular species whereas two others (FM-2 and FM-4) displayed bi-modal and broad distributions, respectively: this demonstrates considerable molecular heterogeneity in these polysaccharides, consistent with previous observations of mannans and polysaccharides in general. These methods not only have applications for the characterization of mannans but for other biopolymers such as polysaccharides, DNA, and proteins (including intrinsically disordered proteins). |
| first_indexed | 2025-11-14T19:25:59Z |
| format | Article |
| id | nottingham-35329 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:25:59Z |
| publishDate | 2016 |
| publisher | Springer Verlag |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-353292020-05-04T18:02:10Z https://eprints.nottingham.ac.uk/35329/ Metadata of the article that will be visualized in OnlineFirst Gillis, Richard B. Adams, Gary G. Besong, David T. M. Machova, Eva Ebringerova, Anna Harding, Stephen E. Patel, Trushar R. Polysaccharides, the most abundant biopolymers, are required for a host of activities in lower organisms, animals, and plants. Their solution characterization is challenging due to their complex shape, heterogeneity, and size. Here, recently developed data analysis approaches were applied for traditional sedimentation equilibrium and velocity methods in order to investigate the molar mass distribution(s) of a subtype of polysaccharide, namely, mannans from four Candida spp. The molecular weight distributions of these mannans were studied using two recently developed equilibrium approaches: SEDFIT-MSTAR and MULTISIG, resulting in corroboratory distribution profiles. Additionally, sedimentation velocity data for all four mannans, analyzed using ls-g*(s) and Extended Fujita approaches, suggest that two of the fungal mannans (FM-1 and FM-3) have a unimodal distribution of molecular species whereas two others (FM-2 and FM-4) displayed bi-modal and broad distributions, respectively: this demonstrates considerable molecular heterogeneity in these polysaccharides, consistent with previous observations of mannans and polysaccharides in general. These methods not only have applications for the characterization of mannans but for other biopolymers such as polysaccharides, DNA, and proteins (including intrinsically disordered proteins). Springer Verlag 2016-07-11 Article PeerReviewed Gillis, Richard B., Adams, Gary G., Besong, David T. M., Machova, Eva, Ebringerova, Anna, Harding, Stephen E. and Patel, Trushar R. (2016) Metadata of the article that will be visualized in OnlineFirst. European Biophysics Journal . ISSN 0175-7571 (In Press) AUC; Extended Fujita approach; MULTISIG; SEDFIT-MSTAR; Sedimentation |
| spellingShingle | AUC; Extended Fujita approach; MULTISIG; SEDFIT-MSTAR; Sedimentation Gillis, Richard B. Adams, Gary G. Besong, David T. M. Machova, Eva Ebringerova, Anna Harding, Stephen E. Patel, Trushar R. Metadata of the article that will be visualized in OnlineFirst |
| title | Metadata of the article that will be visualized in OnlineFirst |
| title_full | Metadata of the article that will be visualized in OnlineFirst |
| title_fullStr | Metadata of the article that will be visualized in OnlineFirst |
| title_full_unstemmed | Metadata of the article that will be visualized in OnlineFirst |
| title_short | Metadata of the article that will be visualized in OnlineFirst |
| title_sort | metadata of the article that will be visualized in onlinefirst |
| topic | AUC; Extended Fujita approach; MULTISIG; SEDFIT-MSTAR; Sedimentation |
| url | https://eprints.nottingham.ac.uk/35329/ |