Evidence map›Paper›PMID 27208310›Full record

ReviewPlant physiology2016

Techniques for the Analysis of Protein-Protein Interactions in Vivo.

Shuping Xing, Niklas Wallmeroth, Kenneth W Berendzen, Christopher Grefen

Abstract readReview
In one paragraph

Review in Plant physiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 137 papers.

0numbers the graph read from it
0cells of the map it votes in
137citing 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

137 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Molecular-level understanding of the aging bone and regeneration mechanisms using computational methods.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026
    Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. FRET-FLIM: Unveiling Transcription Factor Interactions in Plants.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  11. Article
  12. Review
  13. Probing direct interactions between nuclear proteins in cells with nxReLo.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  14. Review
  15. Review
  16. A phosphoinositide-mediated switch of GET pathway receptor dimerization inProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  17. Article
  18. Review
  19. Article
  20. Review

77 more citing papers are in PubMed but not listed here.

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.

Shuping XingUniversity of Tübingen, ZMBP Developmental Genetics (S.X., N.W., C.G.) and ZMBP Central Facilities (K.W.B.), D-72076 Tuebingen, Germany.
Niklas WallmerothUniversity of Tübingen, ZMBP Developmental Genetics (S.X., N.W., C.G.) and ZMBP Central Facilities (K.W.B.), D-72076 Tuebingen, Germany.
Kenneth W BerendzenUniversity of Tübingen, ZMBP Developmental Genetics (S.X., N.W., C.G.) and ZMBP Central Facilities (K.W.B.), D-72076 Tuebingen, Germany.
Christopher GrefenUniversity of Tübingen, ZMBP Developmental Genetics (S.X., N.W., C.G.) and ZMBP Central Facilities (K.W.B.), D-72076 Tuebingen, Germany christopher.grefen@uni-tuebingen.de.ORCID 0000-0002-5820-4466

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identifying key players and their interactions is fundamental for understanding biochemical mechanisms at the molecular level. The ever-increasing number of alternative ways to detect protein-protein interactions (PPIs) speaks volumes about the creativity of scientists in hunting for the optimal technique. PPIs derived from single experiments or high-throughput screens enable the decoding of binary interactions, the building of large-scale interaction maps of single organisms, and the establishment of cross-species networks. This review provides a historical view of the development of PPI technology over the past three decades, particularly focusing on in vivo PPI techniques that are inexpensive to perform and/or easy to implement in a state-of-the-art molecular biology laboratory. Special emphasis is given to their feasibility and application for plant biology as well as recent improvements or additions to these established techniques. The biology behind each method and its advantages and disadvantages are discussed in detail, as are the design, execution, and evaluation of PPI analysis. We also aim to raise awareness about the technological considerations and the inherent flaws of these methods, which may have an impact on the biological interpretation of PPIs. Ultimately, we hope this review serves as a useful reference when choosing the most suitable PPI technique.

Indexed as

GenomicsPlant ProteinsPlantsProtein BindingProtein Interaction MappingYeastsPlant Proteins

Identifiers

PMID27208310
PMCPMC4902627

What OpenQuestion holds

Textmetadata
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.