Evidence map›Paper›PMID 25763623›Full record

ReviewPlant signaling & behavior2014

Plant secretomics: identification, isolation, and biological significance under environmental stress.

Tehreem Tanveer, Kanwal Shaheen, Sajida Parveen, Alvina Gul Kazi, Parvaiz Ahmad

Abstract readReview
In one paragraph

Review in Plant signaling & behavior, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Quantitative Analysis of theBio-protocol · 2025
    Article
  5. Review
  6. Article
  7. Article
  8. International journal of molecular sciences · 2021
    Review
  9. Secretome Analysis ofInternational journal of molecular sciences · 2021
    Article
  10. Article
  11. Article
  12. Understanding Host-Pathogen Interactions inPlants (Basel, Switzerland) · 2020
    Review
  13. Article
  14. Review
  15. The Apoplastic Secretome ofFrontiers in plant science · 2018
    Article
  16. Article
  17. Article
  18. Review
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

5 authors.

Tehreem Tanveera Atta-ur-Rahman School of Applied Biosciences; National University of Sciences and Technology; Islamabad, Pakistan.
Kanwal Shaheen
Sajida Parveen
Alvina Gul Kazi
Parvaiz Ahmad

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plant secretomes are the proteins secreted by the plant cells and are involved in the maintenance of cell wall structure, relationship between host and pathogen, communication between different cells in the plant, etc. Amalgamation of methodologies like bioinformatics, biochemical, and proteomics are used to separate, classify, and outline secretomes by means of harmonizing in planta systems and in vitro suspension cultured cell system (SSCs). We summed up and explained the meaning of secretome, methods used for the identification and isolation of secreted proteins from extracellular space and methods for the assessment of purity of secretome proteins in this review. Two D PAGE method and HPLC based methods for the analysis together with different bioinformatics tools used for the prediction of secretome proteins are also discussed. Biological significance of secretome proteins under different environmental stresses, i.e., salt stress, drought stress, oxidative stress, etc., defense responses and plant interactions with environment are also explained in detail.

Indexed as

ProteomeStress, PhysiologicalExtracellular SpacePlant CellsPlant ProteinsPlantsProteomicsPlant ProteinsProteomeProteomicssecretomesecretory pathwayssignal peptide

Identifiers

PMID25763623
PMCPMC4203502

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.