Evidence map›Paper›PMID 23241746›Full record

ArticleGenome research2013

High-resolution mapping, characterization, and optimization of autonomously replicating sequences in yeast.

Ivan Liachko, Rachel A Youngblood, Uri Keich, Maitreya J Dunham

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed, 71 citations in OpenAlex.

  1. Article
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  5. Review
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  11. A Versatile Toolset for Genetic Manipulation of the Wine YeastInternational journal of molecular sciences · 2023
    Article
  12. DNA replication timing: Biochemical mechanisms and biological significance.BioEssays : news and reviews in molecular, cellular and developmental biology · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Logomaker: beautiful sequence logos in Python.Bioinformatics (Oxford, England) · 2020
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Ivan LiachkoDepartment of Genome Sciences, University of Washington, Seattle, Washington 98105, USA.
Rachel A Youngblood
Uri Keich
Maitreya J Dunham
University of Washington · USThe University of Sydney · AU

Funding

ZDS2P REGULATES SWE1P-DEPENDENT POLARIZED CELL GROWTH IN S CEREVISIAEP41RR011823 · NCRR · UNIVERSITY OF WASHINGTON · PI FIELDS, STANLEY · 1996 to 2011
$24.7M
INTERDISCIPLINARY TRAINING IN GENOMIC SCIENCEST32HG000035 · NHGRI · UNIVERSITY OF WASHINGTON · PI Bruce Colston Trapnell · 1995 to 2026
$24.2M
TrainingP41GM103533 · NIGMS · UNIVERSITY OF WASHINGTON · PI MACCOSS, MICHAEL · 2012 to 2021
$20.7M
A Study of DNA Replication Origins by Comparative Functional GenomicsF32GM090561 · NIGMS · UNIVERSITY OF WASHINGTON · PI LIACHKO, IVAN · 2010 to 2012
$127k
NCRR NIH HHS 5P41RR011823-17NCRR NIH HHS P41 RR011823NHGRI NIH HHS T32 HG000035NHGRI NIH HHS T32 HG00035NIGMS NIH HHS 8 P41GM103533-17NIGMS NIH HHS F32 GM090561NIGMS NIH HHS P41 GM103533
6 · The paper itself

Abstract

DNA replication origins are necessary for the duplication of genomes. In addition, plasmid-based expression systems require DNA replication origins to maintain plasmids efficiently. The yeast autonomously replicating sequence (ARS) assay has been a valuable tool in dissecting replication origin structure and function. However, the dearth of information on origins in diverse yeasts limits the availability of efficient replication origin modules to only a handful of species and restricts our understanding of origin function and evolution. To enable rapid study of origins, we have developed a sequencing-based suite of methods for comprehensively mapping and characterizing ARSs within a yeast genome. Our approach finely maps genomic inserts capable of supporting plasmid replication and uses massively parallel deep mutational scanning to define molecular determinants of ARS function with single-nucleotide resolution. In addition to providing unprecedented detail into origin structure, our data have allowed us to design short, synthetic DNA sequences that retain maximal ARS function. These methods can be readily applied to understand and modulate ARS function in diverse systems.

Indexed as

Chromosome MappingDNA ReplicationChromosomes, FungalComputational BiologyGene LibraryGenes, FungalGenomicsHigh-Throughput Nucleotide SequencingMutationReplication OriginSaccharomyces cerevisiaeYeasts

Identifiers

PMID23241746
PMCPMC3613586
OpenAlexW2171460421

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.