liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Investigation of sera from various species by using lectin affinity arrays and scanning ellipsometry
Linköping University, Department of Physics, Chemistry and Biology, Applied Physics . Linköping University, The Institute of Technology. (Applied Physics)
nanoArc Corp, Newport Beach, CA, USA.
Linköping University, Department of Physics, Chemistry and Biology, Applied Physics . Linköping University, The Institute of Technology.
Pure and Applied Biochemistry, Lund University, PO Box 124, SE-22100 Lund, Sweden .
Show others and affiliations
2005 (English)In: Analytica Chimica Acta, ISSN 0003-2670, E-ISSN 1873-4324, Vol. 530, no 2, 167-171 p.Article in journal (Refereed) Published
Abstract [en]

Serum proteins of different species and of different human blood groups exhibit various protein glycosylation patterns. Sera from human, pig, sheep and guinea pig have been applied to a panel of eight different lectins immobilized on a gold wafer. The biorecognition has been evaluated with scanning ellipsometry and the two-dimensional matrices obtained have been treated with image analysis and MVDA for evaluation. The results showed a clear difference in protein binding pattern between the different species and thereby separation of the different sera could be made. Dendograms indicate that human and pig sera are the most related of the four different sera investigated.

Place, publisher, year, edition, pages
2005. Vol. 530, no 2, 167-171 p.
Keyword [en]
Serum proteins, lectins, scanning ellipsometry, image analysis, multivariate data analysis
National Category
Chemical Sciences
Identifiers
URN: urn:nbn:se:liu:diva-12466DOI: 10.1016/j.aca.2004.09.022OAI: oai:DiVA.org:liu-12466DiVA: diva2:178
Available from: 2008-09-06 Created: 2008-09-06 Last updated: 2017-12-13Bibliographically approved
In thesis
1. Interaction Studies in Complex Fluids with Optical Biosensors
Open this publication in new window or tab >>Interaction Studies in Complex Fluids with Optical Biosensors
2008 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

In this thesis interactions in complex fluids, such as serum and meat juice, were analysed with optical biosensor techniques.

Panels of lectins immobilised on gold surfaces were used for investigation of differences in protein glycosylation pattern in sera and meat juices between various species. The present panel was also used for investigation of global glycosylation changes of serum proteins in type 1 diabetes patients. Biorecognition was evaluated with null ellipsometry and scanning ellipsometry combined with multivariate data analysis techniques (MVDA). Principal component analysis (PCA) showed that the lectin panel enabled discrimination between sera from the different species as well as for the different meat juices. The results also indicate that there is a measurable global alteration in glycosylation pattern of serum proteins in type 1 diabetic patients compared to healthy subjects. Using an artificial neuronal net (ANN), it was also possible to correctly categorise unknown serum samples into their respective class or group. The analytical potential of combining information from lectin panels with multivariate data analysis was thereby demonstrated.

Also, a sensitive and specific method based on surface plasmon resonance (SPR) for detection of insulin autoantibodies (IAA) in serum samples from individuals at high risk of developing type 1 diabetes (T1D) has been developed. When measuring trace molecules, such as autoantibodies, in undiluted sera with label-free techniques like SPR, non-specific adsorption of matrix proteins to the sensor surface is often a problem, since it causes a signal that masks the analyte response. The developed method is an indirect competitive immunoassay designed to overcome these problems. Today, IAA is mainly measured in radio immunoassays (RIAs), which are time consuming and require radioactively labelled antigen. With our SPR-based immunoassay the overall assay time is reduced by a factor of >100 (from 4 days to 50 min), while sensitivity is maintained at a level comparable to that offered by RIA. Finally, the assay was used in a screening study of newly diagnosed type 1 diabetes patients and non-diabetic subjects.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2008. 70 p.
Series
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 1195
Keyword
Type 1 diabetes, Insulin, Lectin panel, Ellipsometry, Meat juice, Serum proteins
National Category
Chemical Sciences
Identifiers
urn:nbn:se:liu:diva-14694 (URN)978-91-7394-852-5 (ISBN)
Public defence
2008-09-19, Planck, Fysikhuset, Campus Norrköping, Linköpings universitet, Linköping, 10:15 (English)
Opponent
Supervisors
Available from: 2008-09-26 Created: 2008-09-19 Last updated: 2009-04-24Bibliographically approved
2. Surface analytical methods and multivariate data analysis applied to lectin panels
Open this publication in new window or tab >>Surface analytical methods and multivariate data analysis applied to lectin panels
2004 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

In this thesis lectin panels on gold wafers were utilized to investigate sera from different mammals and meat juices from various species of animals. Lectins, which are a group of diverse, natural proteins recognize and bind to different carbohydrate structures present on the sera proteins and on the proteins in the different meat juices. The binding patterns from the relatively unspecific interactions between lectins and carbohydrate structures were evaluated with techniques based on ellipsometry. The resulting data was treated with multivariate data analysis (MVDA) techniques, especially principal component analysis (PCA), to identify separation or grouping of data.

It was shown that lectin panels combined with ellipsometric techniques and MVDA could be used to separate sera from different mammals and also a possible relation between species could be seen. Meat juices from the different species evaluated were also possible to separate and using a simple model based on an artificial neuronal net, it was also possible to classify meat juices from the mammals investigated. In spite of its great analytical potential, not much work has yet been done utilizing MVDA together with bioanalytical methods. The results in this thesis however, show great potential for combining lectin panels with MVDA.

This work, regarding lectin panels, was incorporated as a part of a EU-project, Nanocell. The aim of the Nanocell-project was to develop a biosensor consisting of a single biomolecule electrically interfaced to nanoelectrodes, which is sensed electronically/optically.

Place, publisher, year, edition, pages
Linköping: Linköpings universitet, 2004. 28 p.
Series
Linköping Studies in Science and Technology. Thesis, ISSN 0280-7971 ; 1123
Series
LiU-TEK-LIC, 52
National Category
Natural Sciences
Identifiers
urn:nbn:se:liu:diva-24566 (URN)6735 (Local ID)91-85295-64-7 (ISBN)6735 (Archive number)6735 (OAI)
Available from: 2009-10-07 Created: 2009-10-07 Last updated: 2013-11-13

Open Access in DiVA

No full text

Other links

Publisher's full textLink to Ph.D. thesis

Authority records BETA

Carlsson, JennyLundström, IngemarWinquist, Fredrik

Search in DiVA

By author/editor
Carlsson, JennyLundström, IngemarWinquist, Fredrik
By organisation
Applied Physics The Institute of Technology
In the same journal
Analytica Chimica Acta
Chemical Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 271 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf