| Chapter title |
Antibody arrays for determination of relative protein abundances.
|
|---|---|
| Chapter number | 9 |
| Book title |
Tissue Proteomics
|
| Published in |
Methods in molecular biology, March 2008
|
| DOI | 10.1007/978-1-60327-047-2_9 |
| Pubmed ID | |
| Book ISBNs |
978-1-58829-679-5, 978-1-60327-047-2
|
| Authors |
Grigoriy S. Chaga, Chaga, Grigoriy S. |
| Abstract |
As a large number of genome-sequencing projects reached completion, the attention of the scientific community is turning toward understanding the structure-functions of gene translation products-the proteins as well as the complete complement of proteins-the proteome. One goal of proteomics is to correlate changes in protein abundance with biological processes and disease states. To help accelerate this avenue of proteomics, a significant effort has been devoted to the development of multiplexed methods for protein analyses. We have developed an Antibody Microarray, a chip-based technology for multiparallel determination of relative abundance of hundreds of proteins. The Antibody Microarray is composed of hundreds of distinct monoclonal antibodies printed at high density on a glass slide. It utilizes a novel experimental setup and data analysis algorithm, which enables scientists to assay hundreds of cytosolic, nuclear, and membrane-bound proteins with a single experiment. Examples of biological samples that are analyzed on the Antibody Microarray include tissue samples, cell cultures, and body fluids. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 2 | 25% |
| Researcher | 1 | 13% |
| Other | 1 | 13% |
| Student > Master | 1 | 13% |
| Unknown | 3 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 1 | 13% |
| Nursing and Health Professions | 1 | 13% |
| Agricultural and Biological Sciences | 1 | 13% |
| Social Sciences | 1 | 13% |
| Design | 1 | 13% |
| Other | 0 | 0% |
| Unknown | 3 | 38% |