| Title |
Optimization of RiPCA for the Live‐Cell Detection of Pre‐MicroRNA‐Protein Interactions
|
|---|---|
| Published in |
ChemBioChem, November 2022
|
| DOI | 10.1002/cbic.202200508 |
| Pubmed ID | |
| Authors |
Sydney L. Rosenblum, Amanda L. Garner |
| Abstract |
<p class="Abstract" style="margin: 0in 0in 30pt; text-align: justify; line-height: 11.25pt; font-size: 8pt; font-family: Arial, sans-serif; caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0);">Advancements in methods for identifying RNA-protein interactions (RPIs) on a large scale has necessitated the development of assays for validation of these interactions, particularly in living cells. We previously reported the development of RiPCA (RNA interaction with Protein-mediated Complementation Assay) to enable the cellular detection of the well-characterized interaction between the pre-microRNA, pre-let-7, and its RNA-binding protein (RBP) partner Lin28. In this study, the applicability of RiPCA for the detection of putative pre-miRNA-protein interactions was explored using an improved RiPCA protocol, termed RiPCA 2.0. RiPCA 2.0 was adapted to detect the sequence specificity of the RBPs hnRNP A1, Msi1, and Msi2 for reported pre-microRNA binding partners. Additionally, the ability of RiPCA 2.0 to detect site-specific binding was explored. Collectively, this work highlights the versatility of RiPCA 2.0 in detecting cellular RPIs. <o:p></o:p></p>. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 57% |
| France | 1 | 14% |
| Germany | 1 | 14% |
| Unknown | 1 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 57% |
| Members of the public | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 33% |
| Student > Master | 1 | 33% |
| Unknown | 1 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 33% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 33% |
| Unknown | 1 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 29 November 2022.
All research outputs
#6,551,672
of 23,213,531 outputs
Outputs from ChemBioChem
#1,572
of 5,583 outputs
Outputs of similar age
#121,507
of 441,157 outputs
Outputs of similar age from ChemBioChem
#35
of 116 outputs
Altmetric has tracked 23,213,531 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 5,583 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 70% of its peers.
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We're also able to compare this research output to 116 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 68% of its contemporaries.