Evidence map›Paper›PMID 35858410›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Genome-scale modeling drives 70-fold improvement of intracellular heme production in

Olena P Ishchuk, Iván Domenzain, Benjamín J Sánchez, Facundo Muñiz-Paredes, José L Martínez, Jens Nielsen, Dina Petranovic

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
6.9field-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

42 citing papers in PubMed, 83 citations in OpenAlex.

  1. Article
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  5. Review
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  8. Article
  9. Systems biology of yeast metabolism.FEMS yeast research · 2026
    Review
  10. Article
  11. Article
  12. Article
  13. Article
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  15. Article
  16. Metabolic engineering ofProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  17. Article
  18. Deep Learning of Cellular Metabolic Flux Distributions Predicts Lifespan.bioRxiv : the preprint server for biology · 2025
    Article
  19. Computational biology predicts metabolic engineering targets for increased production of 103 valuable chemicals in yeast.Proceedings of the National Academy of Sciences of the United States of America · 2025
    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

7 authors at 3 institutions in 2 countries.

Olena P IshchukDepartment of Biology and Biological Engineering, Systems and Synthetic Biology, Chalmers University of Technology, Gothenburg, Sweden.ORCID 0000-0001-6485-9779
Iván DomenzainDepartment of Biology and Biological Engineering, Systems and Synthetic Biology, Chalmers University of Technology, Gothenburg, Sweden.ORCID 0000-0002-5322-2040
Benjamín J SánchezDepartment of Biology and Biological Engineering, Systems and Synthetic Biology, Chalmers University of Technology, Gothenburg, Sweden.ORCID 0000-0001-6093-4110
Facundo Muñiz-ParedesDepartment of Biology and Biological Engineering, Systems and Synthetic Biology, Chalmers University of Technology, Gothenburg, Sweden.ORCID 0000-0002-2509-3261
José L MartínezDepartment of Biology and Biological Engineering, Systems and Synthetic Biology, Chalmers University of Technology, Gothenburg, Sweden.ORCID 0000-0002-4490-8534
Jens NielsenDepartment of Biology and Biological Engineering, Systems and Synthetic Biology, Chalmers University of Technology, Gothenburg, Sweden.ORCID 0000-0002-9955-6003
Dina PetranovicDepartment of Biology and Biological Engineering, Systems and Synthetic Biology, Chalmers University of Technology, Gothenburg, Sweden.ORCID 0000-0001-8724-3942
Chalmers University of Technology · SEBioInnovation Institute · DKNovo Nordisk Foundation · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heme is an oxygen carrier and a cofactor of both industrial enzymes and food additives. The intracellular level of free heme is low, which limits the synthesis of heme proteins. Therefore, increasing heme synthesis allows an increased production of heme proteins. Using the genome-scale metabolic model (GEM) Yeast8 for the yeast

Indexed as

HemeMetabolic EngineeringSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsComputer SimulationHemeproteinsHemeHemeproteinsSaccharomyces cerevisiae Proteinsgenome-scale modelinghemeheme ligand-binding biosensormetabolic engineeringSaccharomyces cerevisiae

Identifiers

PMID35858410
PMCPMC9335255
OpenAlexW4285726023

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.