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Robust Transcriptional Activation in Plants Using Multiplexed CRISPR-Act2.0 and mTALE-Act Systems

Overview of attention for article published in Molecular Plant, November 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

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5 patents

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186 Dimensions

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Title
Robust Transcriptional Activation in Plants Using Multiplexed CRISPR-Act2.0 and mTALE-Act Systems
Published in
Molecular Plant, November 2017
DOI 10.1016/j.molp.2017.11.010
Pubmed ID
Authors

Levi G. Lowder, Jianping Zhou, Yingxiao Zhang, Aimee Malzahn, Zhaohui Zhong, Tzung-Fu Hsieh, Daniel F. Voytas, Yong Zhang, Yiping Qi

Abstract

Previously, we have shown transcriptional activation of endogenous genes in plants using dCas9-VP64. Here, we develop a second generation of vector systems for enhanced transcriptional activation in plants. We tested multiple strategies for CRISPR-Cas9 based transcriptional activation. Simultaneous recruitment of VP64 by dCas9 and a modified guide RNA scaffold gRNA2.0 (designated CRISPR-Act2.0) yielded stronger transcriptional activation than our first generation dCas9-VP64 activators. In addition, we have built a multiplex transcription activator-like effector activation (mTALE-Act) system for simultaneous activation of up to four genes in plants. Our results suggest that mTALE-Act is even more effective than CRISPR-Act2.0. Moreover, we explored tissue specific gene activation using positive feedback loops. Interestingly, our study revealed that certain endogenous genes are more amenable than others to transcriptional activation, and tightly regulated genes may cause target gene silencing when perturbed by activation probes. Hence, these new tools may be used to investigate gene regulatory networks and their control mechanisms. Assembly of multiplex CRISPR-Act2.0 and mTALE-Act systems are both based on streamlined and PCR-independent Golden Gate and Gateway cloning strategies. The systems will enable transcriptional activation applications in both dicots and monocots, and the vectors in this new toolbox are publicly available to the research community through Addgene.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 221 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 221 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 45 20%
Researcher 41 19%
Student > Master 22 10%
Student > Bachelor 20 9%
Student > Doctoral Student 15 7%
Other 28 13%
Unknown 50 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 89 40%
Biochemistry, Genetics and Molecular Biology 59 27%
Computer Science 3 1%
Social Sciences 3 1%
Chemistry 2 <1%
Other 12 5%
Unknown 53 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 07 December 2023.
All research outputs
#6,277,581
of 25,382,440 outputs
Outputs from Molecular Plant
#645
of 1,758 outputs
Outputs of similar age
#111,840
of 446,404 outputs
Outputs of similar age from Molecular Plant
#18
of 39 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,758 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. 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 446,404 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 39 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 53% of its contemporaries.