Evidence map›Paper›PMID 26714768›Full record

ArticleBMC systems biology2015

Scope and limitations of yeast as a model organism for studying human tissue-specific pathways.

Shahin Mohammadi, Baharak Saberidokht, Shankar Subramaniam, Ananth Grama

Abstract read
In one paragraph

Article in BMC systems biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Building peroxisomes: perspectives on plant peroxins.Biochemical Society transactions · 2026
    Review
  2. Article
  3. Article
  4. Yeast as a Model for Human Disease.International journal of molecular sciences · 2026
    Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Comb spectroscopy of COBiomedical optics express · 2024
    Article
  17. International journal of molecular sciences · 2023
    Review
  18. Review
  19. Article
  20. 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.

Shahin MohammadiDepartment of Computer Sciences, Purdue University, West Lafayette, 47907, USA. mohammadi@purdue.edu.
Baharak SaberidokhtDepartment of Computer Sciences, Purdue University, West Lafayette, 47907, USA. bsaberid@purdue.edu.
Shankar SubramaniamDepartment of Bioengineering, University of California at San Diego, 9500 Gilman Drive, La Jolla, 92093, USA. shankar@ucsd.edu.
Ananth GramaDepartment of Computer Sciences, Purdue University, West Lafayette, 47907, USA. ayg@cs.purdue.edu.

Funding

Theoretical Foundations and Software Infrastructure for Biological Network DatabasesU01CA198941 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI KOYUTURK, MEHMET · 2015 to 2017
$1.4M
NCI NIH HHS U01 CA198941
6 · The paper itself

Abstract

backgroundBudding yeast, S. cerevisiae, has been used extensively as a model organism for studying cellular processes in evolutionarily distant species, including humans. However, different human tissues, while inheriting a similar genetic code, exhibit distinct anatomical and physiological properties. Specific biochemical processes and associated biomolecules that differentiate various tissues are not completely understood, neither is the extent to which a unicellular organism, such as yeast, can be used to model these processes within each tissue.

resultsWe present a novel framework to systematically quantify the suitability of yeast as a model organism for different human tissues. To this end, we develop a computational method for dissecting the global human interactome into tissue-specific cellular networks. By individually aligning these networks with the yeast interactome, we simultaneously partition the functional space of human genes, and their corresponding pathways, based on their conservation both across species and among different tissues. Finally, we couple our framework with a novel statistical model to assess the conservation of tissue-specific pathways and infer the overall similarity of each tissue with yeast. We further study each of these subspaces in detail, and shed light on their unique biological roles in the human tissues.

conclusionsOur framework provides a novel tool that can be used to assess the suitability of the yeast model for studying tissue-specific physiology and pathophysiology in humans. Many complex disorders are driven by a coupling of housekeeping (universally expressed in all tissues) and tissue-selective (expressed only in specific tissues) dysregulated pathways. While tissue-selective genes are significantly associated with the onset and development of a number of tissue-specific pathologies, we show that the human-specific subset has even higher association. Consequently, they provide excellent candidates as drug targets for therapeutic interventions.

Indexed as

Gene Regulatory NetworksModels, BiologicalComputational BiologyHumansMetabolic Networks and PathwaysProtein Interaction MapsSaccharomyces cerevisiaeSpecies SpecificitySystems Biology

Identifiers

PMID26714768
PMCPMC4696342

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.