Evidence map›Paper›PMID 34718741›Full record

ArticleNucleic acids research2022

qPTMplants: an integrative database of quantitative post-translational modifications in plants.

Han Xue, Qingfeng Zhang, Panqin Wang, Bijin Cao, Chongchong Jia, Ben Cheng, Yuhua Shi, Wei-Feng Guo, Zhenlong Wang, Ze-Xian Liu and 1 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  11. Regulation of V-ATPase by Jasmonic Acid: Possible Role of Persulfidation.International journal of molecular sciences · 2023
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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

11 authors.

Han XueSchool of Life Sciences, Zhengzhou University, Zhengzhou 450001, China.ORCID 0000-0003-1137-2873
Qingfeng ZhangState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
Panqin WangSchool of Life Sciences, Zhengzhou University, Zhengzhou 450001, China.
Bijin CaoSchool of Life Sciences, Zhengzhou University, Zhengzhou 450001, China.
Chongchong JiaSchool of Life Sciences, Zhengzhou University, Zhengzhou 450001, China.
Ben ChengSchool of Life Sciences, Zhengzhou University, Zhengzhou 450001, China.
Yuhua ShiSchool of Life Sciences, Zhengzhou University, Zhengzhou 450001, China.
Wei-Feng GuoSchool of Electrical Engineering, Zhengzhou University, Zhengzhou 450001, China.
Zhenlong WangSchool of Life Sciences, Zhengzhou University, Zhengzhou 450001, China.
Ze-Xian LiuState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.ORCID 0000-0001-9698-0610
Han ChengSchool of Life Sciences, Zhengzhou University, Zhengzhou 450001, China.ORCID 0000-0002-6684-317X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a crucial molecular mechanism, post-translational modifications (PTMs) play critical roles in a wide range of biological processes in plants. Recent advances in mass spectrometry-based proteomic technologies have greatly accelerated the profiling and quantification of plant PTM events. Although several databases have been constructed to store plant PTM data, a resource including more plant species and more PTM types with quantitative dynamics still remains to be developed. In this paper, we present an integrative database of quantitative PTMs in plants named qPTMplants (http://qptmplants.omicsbio.info), which hosts 1 242 365 experimentally identified PTM events for 429 821 nonredundant sites on 123 551 proteins under 583 conditions for 23 PTM types in 43 plant species from 293 published studies, with 620 509 quantification events for 136 700 PTM sites on 55 361 proteins under 354 conditions. Moreover, the experimental details, such as conditions, samples, instruments and methods, were manually curated, while a variety of annotations, including the sequence and structural characteristics, were integrated into qPTMplants. Then, various search and browse functions were implemented to access the qPTMplants data in a user-friendly manner. Overall, we anticipate that the qPTMplants database will be a valuable resource for further research on PTMs in plants.

Indexed as

Databases, ProteinPlantsProtein Processing, Post-TranslationalProteinsProteomicsProteins

Identifiers

PMID34718741
PMCPMC8728288

What Socratic holds

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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 Socratic graph.