Evidence map›Paper›PMID 24798576›Full record

ArticleScientific reports2014

Assembly and validation of versatile transcription activator-like effector libraries.

Yi Li, Kristina Ehrhardt, Michael Q Zhang, Leonidas Bleris

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 25% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Reprogramming cell fate with a genome-scale library of artificial transcription factors.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  3. Article
  4. Article
  5. Article
  6. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Yi Li1] Bioengineering Department, The University of Texas at Dallas, 800 West Campbell Road, Richardson TX 75080 USA [2] Center for Systems Biology, The University of Texas at Dallas, 800 West Campbell Road, Richardson TX 75080 USA.
Kristina Ehrhardt1] Bioengineering Department, The University of Texas at Dallas, 800 West Campbell Road, Richardson TX 75080 USA [2] Center for Systems Biology, The University of Texas at Dallas, 800 West Campbell Road, Richardson TX 75080 USA.
Michael Q Zhang1] Center for Systems Biology, The University of Texas at Dallas, 800 West Campbell Road, Richardson TX 75080 USA [2] Molecular and Cell Biology Department, The University of Texas at Dallas, 800 West Campbell Road, Richardson TX 75080 USA.
Leonidas Bleris1] Bioengineering Department, The University of Texas at Dallas, 800 West Campbell Road, Richardson TX 75080 USA [2] Center for Systems Biology, The University of Texas at Dallas, 800 West Campbell Road, Richardson TX 75080 USA [3] Electrical Engineering Department, The University of Texas at Dallas, 800 West Campbell Road, Richardson TX 75080 USA.
The University of Texas at Dallas · US

Funding

Reverse Engineering of Direct versus Indirect Effects in Biological PathwaysR21GM098984 · NIGMS · UNIVERSITY OF TEXAS DALLAS · PI BLERIS, LEONIDAS · 2011 to 2012
$395k
Probing the characteristics of genetic circuits integrated in mammalian cells andR15GM096271 · NIGMS · UNIVERSITY OF TEXAS DALLAS · PI BLERIS, LEONIDAS · 2011 to 2011
$306k
NCI NIH HHS CA17001801NIGMS NIH HHS GM096271NIGMS NIH HHS GM098984NIGMS NIH HHS R15 GM096271NIGMS NIH HHS R21 GM098984
6 · The paper itself

Abstract

The ability to perturb individual genes in genome-wide experiments has been instrumental in unraveling cellular and disease properties. Here we introduce, describe the assembly, and demonstrate the use of comprehensive and versatile transcription activator-like effector (TALE) libraries. As a proof of principle, we built an 11-mer library that covers all possible combinations of the nucleotides that determine the TALE-DNA binding specificity. We demonstrate the versatility of the methodology by constructing a constraint library, customized to bind to a known p53 motif. To verify the functionality in assays, we applied the 11-mer library in yeast-one-hybrid screens to discover TALEs that activate human SCN9A and miR-34b respectively. Additionally, we performed a genome-wide screen using the complete 11-mer library to confirm known genes that confer cycloheximide resistance in yeast. Considering the highly modular nature of TALEs and the versatility and ease of constructing these libraries we envision broad implications for high-throughput genomic assays.

Indexed as

Cell LineCell Line, TumorDNA-Binding ProteinsGene LibraryGenomeGenomicsHEK293 CellsHeLa CellsHumansNAV1.7 Voltage-Gated Sodium ChannelTrans-ActivatorsTranscription FactorsTranscription, GeneticDNA-Binding ProteinsNAV1.7 Voltage-Gated Sodium ChannelSCN9A protein, humanTrans-ActivatorsTranscription Factors

Identifiers

PMID24798576
PMCPMC4010924
OpenAlexW1994643244

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.