Evidence map›Paper›PMID 28193641›Full record

ArticleMolecular systems biology2017

A method for high-throughput production of sequence-verified DNA libraries and strain collections.

Justin D Smith, Ulrich Schlecht, Weihong Xu, Sundari Suresh, Joe Horecka, Michael J Proctor, Raeka S Aiyar, Richard A O Bennett, Angela Chu, Yong Fuga Li and 6 more

Abstract read
In one paragraph

Article in Molecular systems biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
–field-weighted citation impact
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

38 citing papers in PubMed.

  1. Article
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  9. Review
  10. Article
  11. Article
  12. Dissecting quantitative trait nucleotides by saturation genome editing.bioRxiv : the preprint server for biology · 2024
    Article
  13. Article
  14. ArrayedbioRxiv : the preprint server for biology · 2023
    Article
  15. Review
  16. Article
  17. Article
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  19. Review
  20. Article
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

16 authors.

Justin D SmithStanford Genome Technology Center, Stanford University, Palo Alto, CA, USA.ORCID 0000-0003-3079-3534
Ulrich SchlechtStanford Genome Technology Center, Stanford University, Palo Alto, CA, USA.
Weihong XuStanford Genome Technology Center, Stanford University, Palo Alto, CA, USA.
Sundari SureshStanford Genome Technology Center, Stanford University, Palo Alto, CA, USA.
Joe HoreckaStanford Genome Technology Center, Stanford University, Palo Alto, CA, USA.
Michael J ProctorStanford Genome Technology Center, Stanford University, Palo Alto, CA, USA.
Raeka S AiyarStanford Genome Technology Center, Stanford University, Palo Alto, CA, USA.ORCID 0000-0002-3007-8963
Richard A O BennettLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY, USA.
Angela ChuStanford Genome Technology Center, Stanford University, Palo Alto, CA, USA.
Yong Fuga LiStanford Genome Technology Center, Stanford University, Palo Alto, CA, USA.
Kevin RoyStanford Genome Technology Center, Stanford University, Palo Alto, CA, USA.
Ronald W DavisStanford Genome Technology Center, Stanford University, Palo Alto, CA, USA.
Lars M SteinmetzStanford Genome Technology Center, Stanford University, Palo Alto, CA, USA.
Richard W HymanStanford Genome Technology Center, Stanford University, Palo Alto, CA, USA.
Sasha F LevyLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY, USA.ORCID 0000-0002-0923-1636
Robert P St OngeStanford Genome Technology Center, Stanford University, Palo Alto, CA, USA bstonge@stanford.edu.ORCID 0000-0003-1626-3107

Funding

WHOLE YEAST GENOME TRANSCRIPTIONAL AND FUNCTIONAL GENE MAPS--A FEASIBILITY STUDYP01HG000205 · NHGRI · STANFORD UNIVERSITY · PI DAVIS, RONALD WAYNE, HOWE, ROGER THOMAS · 1990 to 2016
$120.9M
Genomic and synthetic biology tools for expressing natural product gene clustersU01GM110706 · NIGMS · STANFORD UNIVERSITY · PI DAVIS, RONALD WAYNE, STEINMETZ, LARS M · 2014 to 2018
$10.9M
PPiSeq: High-Throughput Protein-Protein Interaction SequencingR01HG008354 · NHGRI · STATE UNIVERSITY NEW YORK STONY BROOK · PI LEVY, SASHA F · 2015 to 2018
$1.5M
NHGRI NIH HHS P01 HG000205NHGRI NIH HHS R01 HG008354NIGMS NIH HHS U01 GM110706
6 · The paper itself

Abstract

The low costs of array-synthesized oligonucleotide libraries are empowering rapid advances in quantitative and synthetic biology. However, high synthesis error rates, uneven representation, and lack of access to individual oligonucleotides limit the true potential of these libraries. We have developed a cost-effective method called Recombinase Directed Indexing (REDI), which involves integration of a complex library into yeast, site-specific recombination to index library DNA, and next-generation sequencing to identify desired clones. We used REDI to generate a library of ~3,300 DNA probes that exhibited > 96% purity and remarkable uniformity (> 95% of probes within twofold of the median abundance). Additionally, we created a collection of ~9,000 individually accessible CRISPR interference yeast strains for > 99% of genes required for either fermentative or respiratory growth, demonstrating the utility of REDI for rapid and cost-effective creation of strain collections from oligonucleotide pools. Our approach is adaptable to any complex DNA library, and fundamentally changes how these libraries can be parsed, maintained, propagated, and characterized.

Indexed as

Computational BiologyCRISPR-Cas SystemsDNA, FungalGene LibrarySequence Analysis, DNAYeastsDNA, Fungalarrayed strain collectionCRISPR interferenceDNA librariesoligonucleotide poolssynthetic biology

Identifiers

PMID28193641
PMCPMC5327727

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.