| Chapter title |
A Kinase-Phosphatase Network that Regulates Kinetochore-Microtubule Attachments and the SAC
|
|---|---|
| Chapter number | 19 |
| Book title |
Centromeres and Kinetochores
|
| Published in |
Progress in molecular and subcellular biology, August 2017
|
| DOI | 10.1007/978-3-319-58592-5_19 |
| Pubmed ID | |
| Book ISBNs |
978-3-31-958591-8, 978-3-31-958592-5
|
| Authors |
Giulia Vallardi, Marilia Henriques Cordeiro, Adrian Thomas Saurin, Vallardi, Giulia, Cordeiro, Marilia Henriques, Saurin, Adrian Thomas |
| Abstract |
The KMN network (for KNL1, MIS12 and NDC80 complexes) is a hub for signalling at the outer kinetochore. It integrates the activities of two kinases (MPS1 and Aurora B) and two phosphatases (PP1 and PP2A-B56) to regulate kinetochore-microtubule attachments and the spindle assembly checkpoint (SAC). We will first discuss each of these enzymes separately, to describe how they are regulated at kinetochores and why this is important for their primary function in controlling either microtubule attachments or the SAC. We will then discuss why inhibiting any one of them individually produces secondary effects on all the others. This cross-talk may help to explain why all enzymes have been linked to both processes, even though the direct evidence suggests they each control only one. This chapter therefore describes how a network of kinases and phosphatases work together to regulate two key mitotic processes. |
X Demographics
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 | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 48% |
| Student > Bachelor | 2 | 10% |
| Researcher | 2 | 10% |
| Student > Master | 2 | 10% |
| Professor | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 3 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 13 | 62% |
| Agricultural and Biological Sciences | 3 | 14% |
| Computer Science | 1 | 5% |
| Engineering | 1 | 5% |
| Unknown | 3 | 14% |