Evidence map›Paper›PMID 21051945›Full record

ArticlePlant signaling & behavior2010

Computational identification of root hair-specific genes in Arabidopsis.

Fatima Cvrčková, Radek Bezvoda, Viktor Zárský

Open access · bronzeAbstract read
In one paragraph

Article in Plant signaling & behavior, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

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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 1 institution in 1 country.

Fatima CvrčkováDepartment of Experimental Plant Biology, Faculty of Sciences, Charles University, Praha, Czech Republic. fatima@natur.cuni.cz
Radek Bezvoda
Viktor Zárský
Charles University · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Activated cortical domains (ACDs) are regions of the plant cell cortex performing localized membrane turnover, delimited by concerted action of the cortical cytoskeleton and endomembrane compartments. Arabidopsis thaliana rhizodermis consists of two cell types differing by a single ACD (trichoblasts, carrying tip-growing root hairs, and hairless atrichoblasts), providing a model for the study of ACD determination. We compiled a set of genes specifically upregulated in root hairs from published transcriptome data, and compared it with a "virtual Arabidopsis root hair proteome", i.e. a list of computationally identified homologs of proteins from the published soybean root hair proteome. Both data sets were enriched in genes and proteins associated with root hairs in functional studies, but there was little overlap between the transcriptome and the proteome: the former captured gene products specific to root hairs, while the latter selected those abundant in root hairs but not necessarily specific to them. Decisive steps in ACD specification may be performed by signaling proteins of high expression specifity and low abundance. Nevertheless, 73 genes specifically transcribed in Arabidopsis trichoblasts or root hairs encode homologs of abundant root hair proteins from soybean. Most of them encode "housekeeping" proteins required for rapid tip growth. However, among the "candidates" is also a generative actin isoform, ACT11. Preliminary characterization of an act11 mutant allele indeed suggests a hitherto unexpected role for this gene in root and root hair development.

Indexed as

Gene Expression ProfilingArabidopsisArabidopsis ProteinsGene Expression Regulation, PlantMutationPhenotypePlant RootsPollenArabidopsis Proteins

Identifiers

PMID21051945
PMCPMC3115242
OpenAlexW2023014827

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.