Evidence map›Paper›PMID 26462863›Full record

ReviewBriefings in functional genomics2016

Efforts to make and apply humanized yeast.

Jon M Laurent, Jonathan H Young, Aashiq H Kachroo, Edward M Marcotte

Open access · hybridAbstract readReview
In one paragraph

Review in Briefings in functional genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
5.3field-weighted citation impact, top 4% 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

54 citing papers in PubMed, 105 citations in OpenAlex.

  1. Article
  2. The power of many: when genetics met yeasts and high-throughput.Biological reviews of the Cambridge Philosophical Society · 2026
    Review
  3. Yeast as a Model for Human Disease.International journal of molecular sciences · 2026
    Review
  4. Microbial cell (Graz, Austria) · 2026
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. The FirstMicroorganisms · 2022
    Article
  19. The Use of Yeast in Biosensing.Microorganisms · 2022
    Review
  20. Cadmium Sulfide Quantum Dots Adversely Affect Gametogenesis inNanomaterials (Basel, Switzerland) · 2022
    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

4 authors at 1 institution in 1 country.

Jon M Laurent
Jonathan H Young
Aashiq H Kachroo
Edward M Marcotte
The University of Texas at Austin · US

Funding

Next-Generation Proteomics: Massively Parallel Single-Molecule Protein IdentificaDP1GM106408 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI MARCOTTE, EDWARD M · 2012 to 2016
$3.8M
NIGMS NIH HHS DP1 GM106408
6 · The paper itself

Abstract

Despite a billion years of divergent evolution, the baker's yeast Saccharomyces cerevisiae has long proven to be an invaluable model organism for studying human biology. Given its tractability and ease of genetic manipulation, along with extensive genetic conservation with humans, it is perhaps no surprise that researchers have been able to expand its utility by expressing human proteins in yeast, or by humanizing specific yeast amino acids, proteins or even entire pathways. These methods are increasingly being scaled in throughput, further enabling the detailed investigation of human biology and disease-specific variations of human genes in a simplified model organism.

Indexed as

DiseaseDrug DiscoveryGenes, FungalGenomicsHumansModels, BiologicalProteinsSaccharomyces cerevisiaeProteinsevolutionfunctional genomicshigh-throughput assayshumanizationyeast

Identifiers

PMID26462863
PMCPMC4803062
OpenAlexW2270484789

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.