Evidence map›Paper›PMID 33906944›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

High-throughput functional variant screens via in vivo production of single-stranded DNA.

Max G Schubert, Daniel B Goodman, Timothy M Wannier, Divjot Kaur, Fahim Farzadfard, Timothy K Lu, Seth L Shipman, George M Church

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed
6.4field-weighted citation impact, top 2% 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

63 citing papers in PubMed, 104 citations in OpenAlex.

  1. Article
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  6. CRISPR-DNA Polymerase Assisted Targeted Mutagenesis for Regulable Laboratory Evolution.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Scaling DNA engineering.Trends in biotechnology · 2025
    Review
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3 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

8 authors at 5 institutions in 2 countries.

Max G SchubertDepartment of Genetics, Harvard Medical School, Boston, MA 02115; mgschubert@gmail.com.ORCID 0000-0001-5047-2207
Daniel B GoodmanDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA 94143.ORCID 0000-0003-3759-6883
Timothy M WannierDepartment of Genetics, Harvard Medical School, Boston, MA 02115.ORCID 0000-0002-4165-4751
Divjot KaurDepartment of Zoology, University of Warwick, Coventry CV4 7AL, United Kingdom.ORCID 0000-0002-1180-7040
Fahim FarzadfardResearch Laboratory of Electronics, Massachussetts Institute of Technology, Cambridge, MA 02139.
Timothy K LuResearch Laboratory of Electronics, Massachussetts Institute of Technology, Cambridge, MA 02139.
Seth L ShipmanDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA 94143.ORCID 0000-0003-3130-8043
George M ChurchDepartment of Genetics, Harvard Medical School, Boston, MA 02115.ORCID 0000-0003-3535-2076
Harvard University · USMassachusetts Institute of Technology · USGladstone Institutes · USUniversity of California, San Francisco · USUniversity of Warwick · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Creating and characterizing individual genetic variants remains limited in scale, compared to the tremendous variation both existing in nature and envisioned by genome engineers. Here we introduce retron library recombineering (RLR), a methodology for high-throughput functional screens that surpasses the scale and specificity of CRISPR-Cas methods. We use the targeted reverse-transcription activity of retrons to produce single-stranded DNA (ssDNA) in vivo, incorporating edits at >90% efficiency and enabling multiplexed applications. RLR simultaneously introduces many genomic variants, producing pooled and barcoded variant libraries addressable by targeted deep sequencing. We use RLR for pooled phenotyping of synthesized antibiotic resistance alleles, demonstrating quantitative measurement of relative growth rates. We also perform RLR using the sheared genomic DNA of an evolved bacterium, experimentally querying millions of sequences for causal variants, demonstrating that RLR is uniquely suited to utilize large pools of natural variation. Using ssDNA produced in vivo for pooled experiments presents avenues for exploring variation across the genome.

Indexed as

Genetic EngineeringAllelesCRISPR-Cas SystemsDNA, Single-StrandedDrug Resistance, MicrobialEscherichia coliGene LibraryGenome, BacterialGenomicsHigh-Throughput Nucleotide SequencingHigh-Throughput Screening AssaysSaccharomyces cerevisiaeSynthetic BiologyDNA, Single-Strandedantibiotic resistancefunctional genomicsgenetic engineeringretronsynthetic biology

Identifiers

PMID33906944
PMCPMC8106316
OpenAlexW3158323591

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.