Evidence map›Paper›PMID 37445944›Full record

ReviewInternational journal of molecular sciences2023

Yeast Heterologous Expression Systems for the Study of Plant Membrane Proteins.

Larissa G Popova, Dmitrii E Khramov, Olga I Nedelyaeva, Vadim S Volkov

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Yeast as a Platform to Dissect Poly(ADP-Ribose) Polymerase Function fromInternational journal of molecular sciences · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. The Functional Identification of theInternational journal of molecular sciences · 2025
    Article
  9. Review
  10. Article
  11. Article
  12. The KillerMicroorganisms · 2024
    Review
  13. 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.

Larissa G PopovaK.A. Timiryazev Institute of Plant Physiology RAS, 127276 Moscow, Russia.
Dmitrii E KhramovK.A. Timiryazev Institute of Plant Physiology RAS, 127276 Moscow, Russia.
Olga I NedelyaevaK.A. Timiryazev Institute of Plant Physiology RAS, 127276 Moscow, Russia.
Vadim S VolkovK.A. Timiryazev Institute of Plant Physiology RAS, 127276 Moscow, Russia.ORCID 0000-0003-1621-6490

Funding

Ministry of Science and Higher Education of the Russian Federation (theme No. 122042700044-6) Ministry of Science and Higher Education of the Russian Federation (theme No. 122042700044-6)
6 · The paper itself

Abstract

Researchers are often interested in proteins that are present in cells in small ratios compared to the total amount of proteins. These proteins include transcription factors, hormones and specific membrane proteins. However, sufficient amounts of well-purified protein preparations are required for functional and structural studies of these proteins, including the creation of artificial proteoliposomes and the growth of protein 2D and 3D crystals. This aim can be achieved by the expression of the target protein in a heterologous system. This review describes the applications of yeast heterologous expression systems in studies of plant membrane proteins. An initial brief description introduces the widely used heterologous expression systems of the baker's yeast

Indexed as

Membrane ProteinsSaccharomyces cerevisiaePichiaPlant ProteinsRecombinant ProteinsMembrane ProteinsPlant ProteinsRecombinant Proteinsbaker’s yeastsheterologous expressionmethylotrophic yeastsPichia pastorisplant membrane proteinsrecombinant proteinsSaccharomyces cerevisiae

Identifiers

PMID37445944
PMCPMC10342074

What Socratic 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 Socratic graph.