Antifungal Drug Resistance
Springer US
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| Chapter title |
Conditional Protein Depletion in the Analysis of Antifungal Drug Resistance in Candida glabrata.
|
|---|---|
| Chapter number | 13 |
| Book title |
Antifungal Drug Resistance
|
| Published in |
Methods in molecular biology, January 2023
|
| DOI | 10.1007/978-1-0716-3155-3_13 |
| Pubmed ID | |
| Book ISBNs |
978-1-07-163154-6, 978-1-07-163155-3
|
| Authors |
Conway, Thomas P, Moye-Rowley, W Scott, Thomas P. Conway, W. Scott Moye-Rowley, Conway, Thomas P., Moye-Rowley, W. Scott |
| Abstract |
This chapter illustrates a method to generate Candida glabrata conditional depletion mutants for SNF2, an ATPase subunit of the SWI/SNF chromatin remodeling complex with potential roles in the response to azole drugs. The strategy employed utilizes a plant-specific proteolysis pathway which allows for the rapid degradation of a target protein in the presence of the phytohormone, auxin. The steps taken to generate strains expressing the auxin-inducible plant F-box protein, Tir1, and in which the auxin-binding target, IAA17, is C-terminally fused to Snf2 are described. This acute depletion strategy is suitable for studying the effects of the loss of growth-critical proteins. The rapid depletion afforded by the auxin-induced degradation avoids the potential complications of a null allele causing a severe growth defect and allows a more rapid assessment of the consequences of reduced levels of a protein of interest. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 1 | 100% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 1 | 100% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 April 2023.
All research outputs
#15,146,159
of 24,052,577 outputs
Outputs from Methods in molecular biology
#4,463
of 13,569 outputs
Outputs of similar age
#210,576
of 441,370 outputs
Outputs of similar age from Methods in molecular biology
#153
of 634 outputs
Altmetric has tracked 24,052,577 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,569 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 63% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 441,370 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 634 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.