Evidence map›Paper›PMID 34270051›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2021

Phosphoproteomics Analysis of Plant Root Tissue.

Zhe Zhu, Shubo Yang, Shalan Li, Xiaolin Yang, Leonard Krall

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.6field-weighted citation impact, top 37% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 1 institution in 1 country.

Zhe ZhuState Key Laboratory of Conservation and Utilization of Bio-Resources in Yunnan and Center for Life Science, School of Life Sciences, Yunnan University, Kunming, China.
Shubo YangState Key Laboratory of Conservation and Utilization of Bio-Resources in Yunnan and Center for Life Science, School of Life Sciences, Yunnan University, Kunming, China.
Shalan LiState Key Laboratory of Conservation and Utilization of Bio-Resources in Yunnan and Center for Life Science, School of Life Sciences, Yunnan University, Kunming, China.
Xiaolin YangState Key Laboratory of Conservation and Utilization of Bio-Resources in Yunnan and Center for Life Science, School of Life Sciences, Yunnan University, Kunming, China.
Leonard KrallState Key Laboratory of Conservation and Utilization of Bio-Resources in Yunnan and Center for Life Science, School of Life Sciences, Yunnan University, Kunming, China. len.krall@gmail.com.
Yunnan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plants absorb water and nutrients from soil through roots and transmit these resources through the xylem to the shoot. Roots therefore participate in information and material transduction as well as signal communication with the shoot. The importance of reversible protein phosphorylation in the regulation of plant growth and development has been amply demonstrated through decades of research. Here, we present a simple mass spectrometry-based shotgun phosphoproteomics protocol for Arabidopsis root tissue. Through this method, we can profile the Arabidopsis root phosphoproteome and construct signal networks of key proteins to better understand their roles in plant growth and development.

Indexed as

ArabidopsisProteomicsArabidopsis ProteinsPlant ProteinsPlant RootsPlant ShootsProteomeXylemArabidopsis ProteinsPlant ProteinsProteomeMass spectrometryPhosphoproteomicsPlant root tissueTotal protein

Identifiers

PMID34270051
OpenAlexW3179821127

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.