Evidence map›Paper›PMID 22847330›Full record

ReviewCellular and molecular life sciences : CMLS2012

Role of AGC kinases in plant growth and stress responses.

Ana Victoria Garcia, Mohamed Al-Yousif, Heribert Hirt

Open access · greenAbstract readReview
In one paragraph

Review in Cellular and molecular life sciences : CMLS, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 15% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.

  1. Pooled it
  2. Comparative Phosphoproteomics of TwoJournal of fungi (Basel, Switzerland) · 2026
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  4. Genome-Wide Analysis ofInternational journal of molecular sciences · 2025
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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

3 authors at 2 institutions in 2 countries.

Ana Victoria GarciaURGV Unité de Recherche en Génomique Végétale, UMR, ERL, INRA-UEVE-CNRS, Evry, France.
Mohamed Al-Yousif
Heribert Hirt
King Saud University · SAUniversité d'Évry Val-d'Essonne · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

AGC kinases are important regulators of cell growth, metabolism, division, and survival in mammalian systems. Mutation or deregulation of members of this family of protein kinases contribute to the pathogenesis of many human diseases, including cancer and diabetes. Although AGC kinases are conserved in the plant kingdom, little is known about their molecular functions and targets. Some of the best-studied plant AGC kinases mediate auxin signaling and are thereby involved in the regulation of growth and morphogenesis. Furthermore, certain members are regulated by lipid-derived signals via the 3-phosphoinositide-dependent kinase 1 (PDK1) and the kinase target of rapamycin (TOR), similar to its animal counterparts. In this review, we discuss recent findings on plant AGC kinases that unravel important roles in the regulation of plant growth, immunity and cell death, and connections to stress-induced mitogen-activated protein kinase signaling cascades.

Indexed as

Plant DevelopmentStress, Physiological3-Phosphoinositide-Dependent Protein KinasesArabidopsisArabidopsis ProteinsBasidiomycotaCell DeathMAP Kinase Signaling SystemPhosphatidylinositol 3-KinasesPlantsProtein KinasesProtein Serine-Threonine KinasesSymbiosis3-Phosphoinositide-Dependent Protein KinasesArabidopsis ProteinsPDPK1 protein, humanPhosphatidylinositol 3-KinasesProtein KinasesProtein Serine-Threonine KinasesTOR protein, Arabidopsis

Identifiers

PMID22847330
PMCPMC11114936
OpenAlexW2027960572

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.