Evidence map›Paper›PMID 22982375›Full record

ReviewMolecular & cellular proteomics : MCP2012

Single-cell-type proteomics: toward a holistic understanding of plant function.

Shaojun Dai, Sixue Chen

Abstract readReview
In one paragraph

Review in Molecular & cellular proteomics : MCP, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Proximity Labeling in Plants.Annual review of plant biology · 2023
    Review
  6. Multi-Omics Methods Applied to Flower Development.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  7. Single-cell technologies: From research to application.Innovation (Cambridge (Mass.)) · 2022
    Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Review
  13. Sugar Beet (International journal of molecular sciences · 2020
    Article
  14. Review
  15. Review
  16. Review
  17. Editorial: Plant Single Cell Type Systems Biology.Frontiers in plant science · 2016
    Article
  18. Article
  19. Article
  20. 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

2 authors.

Shaojun DaiDepartment of Biology, Plant Molecular and Cellular Biology Program, Genetics Institute, University of Florida, Gainesville, FL 32610, USA.
Sixue Chen

Funding

Establishment of a High Performance UPLC-QSTAR Elite Proteomics Platform at UniveS10RR025418 · NCRR · UNIVERSITY OF FLORIDA · PI CHEN, SIXUE · 2009 to 2009
$326k
NCRR NIH HHS 1S10RR025418-01NCRR NIH HHS S10 RR025418
6 · The paper itself

Abstract

Multicellular organisms such as plants contain different types of cells with specialized functions. Analyzing the protein characteristics of each type of cell will not only reveal specific cell functions, but also enhance understanding of how an organism works. Most plant proteomics studies have focused on using tissues and organs containing a mixture of different cells. Recent single-cell-type proteomics efforts on pollen grains, guard cells, mesophyll cells, root hairs, and trichomes have shown utility. We expect that high resolution proteomic analyses will reveal novel functions in single cells. This review provides an overview of recent developments in plant single-cell-type proteomics. We discuss application of the approach for understanding important cell functions, and we consider the technical challenges of extending the approach to all plant cell types. Finally, we consider the integration of single-cell-type proteomics with transcriptomics and metabolomics with the goal of providing a holistic understanding of plant function.

Indexed as

Mesophyll CellsMetabolomicsPlant CellsPlant ProteinsPlant RootsPlantsPollenProteomicsTranscriptomePlant Proteins

Identifiers

PMID22982375
PMCPMC3518137

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.