Chapter title |
Characterization of Plant Cell Wall Damage-Associated Molecular Patterns Regulating Immune Responses
|
---|---|
Chapter number | 2 |
Book title |
Plant Pattern Recognition Receptors
|
Published in |
Methods in molecular biology, February 2017
|
DOI | 10.1007/978-1-4939-6859-6_2 |
Pubmed ID | |
Book ISBNs |
978-1-4939-6858-9, 978-1-4939-6859-6
|
Authors |
Bacete, Laura, Mélida, Hugo, Pattathil, Sivakumar, Hahn, Michael G., Molina, Antonio, Miedes, Eva, Laura Bacete, Hugo Mélida, Sivakumar Pattathil, Michael G. Hahn, Antonio Molina, Eva Miedes |
Editors |
Libo Shan, Ping He |
Abstract |
The plant cell wall is one of the first defensive barriers that pathogens need to overcome to successfully colonize plant tissues. Plant cell wall is considered a dynamic structure that regulates both constitutive and inducible defense mechanisms. The wall is a potential source of a diverse set of Damage-Associated Molecular Patterns (DAMPs), which are signalling molecules that trigger immune responses. However, just a few active wall ligands, such as oligogalacturonic acids (OGs), have been characterized so far. To identify additional wall-derived DAMPs, we obtained different plant wall fractions and tested their capacity to trigger immune responses using a calcium read-out system. To characterize the active DAMPs structures present in these fractions, we applied Glycome Profiling, a technology that uses a large and diverse set of specific monoclonal antibodies against wall carbohydrate ligands. The methods describe here can be used in combination with other biochemical approaches to identify and purify new plant cell wall DAMPs. |
X Demographics
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 28 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 6 | 21% |
Student > Ph. D. Student | 5 | 18% |
Researcher | 5 | 18% |
Professor > Associate Professor | 2 | 7% |
Student > Doctoral Student | 1 | 4% |
Other | 1 | 4% |
Unknown | 8 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 10 | 36% |
Biochemistry, Genetics and Molecular Biology | 8 | 29% |
Arts and Humanities | 1 | 4% |
Chemistry | 1 | 4% |
Unknown | 8 | 29% |