Recombinant Antibody Microarray for Profiling the Serum Proteome of SLE.
(2014) In Methods in Molecular Biology 1134. p.67-78- Abstract
- Systemic lupus erythematosus (SLE) is a severe autoimmune connective tissue disease. Our current knowledge about the serum proteome, or serum biomarker panels, reflecting disease and disease status is still very limited. Affinity proteomics, represented by recombinant antibody arrays, is a novel, multiplex technology for high-throughput protein expression profiling of crude serum proteomes in a highly specific, sensitive, and miniaturized manner. The antibodies are deposited one by one in an ordered pattern, an array, onto a solid support. Next, the sample is added, and any specifically bound proteins are detected and quantified. The binding pattern is then converted into a relative protein expression map, or protein map, deciphering the... (More)
- Systemic lupus erythematosus (SLE) is a severe autoimmune connective tissue disease. Our current knowledge about the serum proteome, or serum biomarker panels, reflecting disease and disease status is still very limited. Affinity proteomics, represented by recombinant antibody arrays, is a novel, multiplex technology for high-throughput protein expression profiling of crude serum proteomes in a highly specific, sensitive, and miniaturized manner. The antibodies are deposited one by one in an ordered pattern, an array, onto a solid support. Next, the sample is added, and any specifically bound proteins are detected and quantified. The binding pattern is then converted into a relative protein expression map, or protein map, deciphering the composition of the sample at the molecular level. The methodology provides unique opportunities for delineating serum biomarkers reflecting SLE, thus paving the way for improved diagnosis, classification, and prognosis. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4335617
- author
- Borrebaeck, Carl A K ; Sturfelt, Gunnar LU and Wingren, Christer
- organization
- publishing date
- 2014
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Methods in Molecular Biology
- volume
- 1134
- pages
- 67 - 78
- publisher
- Springer
- external identifiers
-
- pmid:24497355
- scopus:84896301105
- ISSN
- 1940-6029
- DOI
- 10.1007/978-1-4939-0326-9_6
- language
- English
- LU publication?
- yes
- id
- e86231d8-7a49-44ee-a895-3474d9a34362 (old id 4335617)
- alternative location
- http://www.ncbi.nlm.nih.gov/pubmed/24497355?dopt=Abstract
- date added to LUP
- 2016-04-04 08:55:32
- date last changed
- 2022-02-20 22:39:29
@article{e86231d8-7a49-44ee-a895-3474d9a34362,
abstract = {{Systemic lupus erythematosus (SLE) is a severe autoimmune connective tissue disease. Our current knowledge about the serum proteome, or serum biomarker panels, reflecting disease and disease status is still very limited. Affinity proteomics, represented by recombinant antibody arrays, is a novel, multiplex technology for high-throughput protein expression profiling of crude serum proteomes in a highly specific, sensitive, and miniaturized manner. The antibodies are deposited one by one in an ordered pattern, an array, onto a solid support. Next, the sample is added, and any specifically bound proteins are detected and quantified. The binding pattern is then converted into a relative protein expression map, or protein map, deciphering the composition of the sample at the molecular level. The methodology provides unique opportunities for delineating serum biomarkers reflecting SLE, thus paving the way for improved diagnosis, classification, and prognosis.}},
author = {{Borrebaeck, Carl A K and Sturfelt, Gunnar and Wingren, Christer}},
issn = {{1940-6029}},
language = {{eng}},
pages = {{67--78}},
publisher = {{Springer}},
series = {{Methods in Molecular Biology}},
title = {{Recombinant Antibody Microarray for Profiling the Serum Proteome of SLE.}},
url = {{http://dx.doi.org/10.1007/978-1-4939-0326-9_6}},
doi = {{10.1007/978-1-4939-0326-9_6}},
volume = {{1134}},
year = {{2014}},
}