Evidence map›Paper›PMID 32690674›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

Bidirectional titration of yeast gene expression using a pooled CRISPR guide RNA approach.

Emily K Bowman, Matthew Deaner, Jan-Fang Cheng, Robert Evans, Ernst Oberortner, Yasuo Yoshikuni, Hal S Alper

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. High-throughput metabolic engineering ofProceedings of the National Academy of Sciences of the United States of America · 2025
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  3. Review
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  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Biosensor-CoupledmSystems · 2022
    Article
  12. High-content CRISPR screening.Nature reviews. Methods primers · 2022
    Article
  13. Review
  14. Review
  15. Review
  16. Sorting for secreted molecule production using a biosensor-in-microdroplet approach.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  17. Review
  18. Article
  19. 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

7 authors.

Emily K BowmanInstitute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, TX, 78712.ORCID 0000-0002-2896-3285
Matthew DeanerMcKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, TX, 78712.
Jan-Fang ChengThe US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720.
Robert EvansThe US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720.
Ernst OberortnerThe US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720.ORCID 0000-0002-4287-5513
Yasuo YoshikuniThe US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720.ORCID 0000-0002-8372-640X
Hal S AlperInstitute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, TX, 78712; halper@che.utexas.edu.ORCID 0000-0002-8246-8605

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most classic genetic approaches utilize binary modifications that preclude the identification of key knockdowns for essential genes or other targets that only require moderate modulation. As a complementary approach to these classic genetic methods, we describe a plasmid-based library methodology that affords bidirectional, graded modulation of gene expression enabled by tiling the promoter regions of all 969 genes that comprise the ito977 model of

Indexed as

Clustered Regularly Interspaced Short Palindromic RepeatsCRISPR-Cas SystemsGene Expression Regulation, FungalGene LibraryPlasmidsPromoter Regions, GeneticRNA, FungalRNA, Guide, CRISPR-Cas SystemsSaccharomyces cerevisiaeRNA, FungalRNA, Guide, CRISPR-Cas SystemsCRISPRessential genesgraded expressionnext-generation sequencingsynthetic biology

Identifiers

PMID32690674
PMCPMC7414176

What OpenQuestion holds

Textmetadata
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.