Evidence map›Paper›PMID 29304331›Full record

ArticleMolecular cell2018

Rapid and Scalable Characterization of CRISPR Technologies Using an E. coli Cell-Free Transcription-Translation System.

Ryan Marshall, Colin S Maxwell, Scott P Collins, Thomas Jacobsen, Michelle L Luo, Matthew B Begemann, Benjamin N Gray, Emma January, Anna Singer, Yonghua He and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Molecular cell, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed
11.1field-weighted citation impact, top 1% 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

86 citing papers in PubMed, 210 citations in OpenAlex.

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  15. Characterization ofmSphere · 2024
    Article
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  19. CRISPR-based screening of small RNA modulators of bile susceptibility inProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  20. Article

26 more citing papers are in PubMed but not listed here.

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

12 authors at 3 institutions in 1 country.

Ryan MarshallSchool of Physics and Astronomy, University of Minnesota, Minneapolis, MN 55455, USA.
Colin S MaxwellDepartment of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC 27695, USA.
Scott P CollinsDepartment of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC 27695, USA.
Thomas JacobsenDepartment of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC 27695, USA.
Michelle L LuoDepartment of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC 27695, USA.
Matthew B BegemannBenson Hill Biosystems, St. Louis, MO 63132, USA.
Benjamin N GrayBenson Hill Biosystems, St. Louis, MO 63132, USA.
Emma JanuaryBenson Hill Biosystems, St. Louis, MO 63132, USA.
Anna SingerBenson Hill Biosystems, St. Louis, MO 63132, USA.
Yonghua HeBenson Hill Biosystems, St. Louis, MO 63132, USA.
Chase L BeiselDepartment of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC 27695, USA. Electronic address: cbeisel@ncsu.edu.
Vincent NoireauxSchool of Physics and Astronomy, University of Minnesota, Minneapolis, MN 55455, USA. Electronic address: noireaux@umn.edu.
Benson Hill Biosystems (United States) · USNorth Carolina State University · USUniversity of Minnesota · US

Funding

Tri-Institutional Molecular Mycology and Pathogenesis Training ProgramT32AI052080 · NIAID · DUKE UNIVERSITY · PI ANDREW ALSPAUGH, JOSEPH HEITMAN · 2003 to 2026
$8.7M
Understanding and exploiting the functional diversity of CRISPR-Cas immune systemsR35GM119561 · NIGMS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI BEISEL, CHASE LAWRENCE · 2016 to 2020
$1.9M
NIAID NIH HHS T32 AI052080NIGMS NIH HHS R35 GM119561
6 · The paper itself

Abstract

CRISPR-Cas systems offer versatile technologies for genome engineering, yet their implementation has been outpaced by ongoing discoveries of new Cas nucleases and anti-CRISPR proteins. Here, we present the use of E. coli cell-free transcription-translation (TXTL) systems to vastly improve the speed and scalability of CRISPR characterization and validation. TXTL can express active CRISPR machinery from added plasmids and linear DNA, and TXTL can output quantitative dynamics of DNA cleavage and gene repression-all without protein purification or live cells. We used TXTL to measure the dynamics of DNA cleavage and gene repression for single- and multi-effector CRISPR nucleases, predict gene repression strength in E. coli, determine the specificities of 24 diverse anti-CRISPR proteins, and develop a fast and scalable screen for protospacer-adjacent motifs that was successfully applied to five uncharacterized Cpf1 nucleases. These examples underscore how TXTL can facilitate the characterization and application of CRISPR technologies across their many uses.

Indexed as

Cell-Free SystemClustered Regularly Interspaced Short Palindromic RepeatsCRISPR-Cas SystemsDNA, BacterialEndonucleasesEscherichia coliGenetic EngineeringOryzaProtein BiosynthesisRNA, Guide, CRISPR-Cas SystemsTranscription, GeneticDNA, BacterialEndonucleasesRNA, Guide, CRISPR-Cas SystemsCas9CascadeCpf1PAMprototypingsynthetic biologyTXTL

Identifiers

PMID29304331
PMCPMC5976856
OpenAlexW2741777336

What OpenQuestion holds

Textmetadata
LicenceTDM
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.