Evidence map›Paper›PMID 26260262›Full record

ReviewNature reviews. Genetics2015

Genomes by design.

Adrian D Haimovich, Paul Muir, Farren J Isaacs

Abstract readReview
In one paragraph

Review in Nature reviews. Genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. ACS synthetic biology · 2021
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. The case for biotech on Mars.Nature biotechnology · 2020
    Article
  8. Review
  9. Article
  10. Article
  11. Characterizing posttranslational modifications in prokaryotic metabolism using a multiscale workflow.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  12. Upgrading aminoacyl-tRNA synthetases for genetic code expansion.Current opinion in chemical biology · 2018
    Review
  13. Beyond editing to writing large genomes.Nature reviews. Genetics · 2017
    Article
  14. Review
  15. Article
  16. Biofuel metabolic engineering with biosensors.Current opinion in chemical biology · 2016
    Review
  17. Article
  18. Article
  19. Review
  20. 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

3 authors.

Adrian D Haimovich1] Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, Connecticut 06520, USA. [2] Systems Biology Institute, Yale University, West Haven, Connecticut 06516, USA.
Paul Muir1] Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, Connecticut 06520, USA. [2] Systems Biology Institute, Yale University, West Haven, Connecticut 06516, USA. [3] Integrated Graduate Program in Physical and Engineering Biology, Yale University, New Haven, Connecticut 06520, USA.
Farren J Isaacs1] Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, Connecticut 06520, USA. [2] Systems Biology Institute, Yale University, West Haven, Connecticut 06516, USA.

Funding

Revealing substrates and phosphoproteome level function of human STE20 kinasesR01GM117230 · NIGMS · YALE UNIVERSITY · PI ISAACS, FARREN J., RINEHART, JESSE · 2015 to 2024
$3.2M
Development of Co-translational Phosphotyrosine Incorporation to Elucidate Mechanisms of Src ActivationF30CA196191 · NCI · YALE UNIVERSITY · PI HAIMOVICH, ADRIAN · 2015 to 2017
$105k
NCI NIH HHS F30 CA196191NIGMS NIH HHS R01 GM117230
6 · The paper itself

Abstract

Next-generation DNA sequencing has revealed the complete genome sequences of numerous organisms, establishing a fundamental and growing understanding of genetic variation and phenotypic diversity. Engineering at the gene, network and whole-genome scale aims to introduce targeted genetic changes both to explore emergent phenotypes and to introduce new functionalities. Expansion of these approaches into massively parallel platforms establishes the ability to generate targeted genome modifications, elucidating causal links between genotype and phenotype, as well as the ability to design and reprogramme organisms. In this Review, we explore techniques and applications in genome engineering, outlining key advances and defining challenges.

Indexed as

GenomeAnimalsGene TargetingGenetic EngineeringGenetic VariationGenotypeHigh-Throughput Nucleotide SequencingHumans

Identifiers

PMID26260262
PMCPMC5484418

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.