Evidence map›Paper›PMID 37063177›Full record

ArticleFrontiers in plant science2023

Omics-assisted characterization of two-component system genes from

Asima Rasool, Farrukh Azeem, Mahmood Ur-Rahman, Muhammad Rizwan, Muhammad Hussnain Siddique, Daniyah Habiballah Bay, Najat Binothman, Najla Amin T Al Kashgry, Sameer H Qari

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In one paragraph

Article in Frontiers in plant science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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  4. 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

9 authors at 4 institutions in 2 countries.

Asima RasoolDepartment of Bioinformatics and Biotechnology, Government College University Faisalabad, Faisalabad, Pakistan.
Farrukh AzeemDepartment of Bioinformatics and Biotechnology, Government College University Faisalabad, Faisalabad, Pakistan.
Mahmood Ur-RahmanDepartment of Bioinformatics and Biotechnology, Government College University Faisalabad, Faisalabad, Pakistan.
Muhammad RizwanDepartment of Environmental Sciences, Government College University Faisalabad, Faisalabad, Pakistan.
Muhammad Hussnain SiddiqueDepartment of Bioinformatics and Biotechnology, Government College University Faisalabad, Faisalabad, Pakistan.
Daniyah Habiballah BayDepartment of Biology, Faculty of Applied Science, Umm Al-Qura University, Makkah, Saudi Arabia.
Najat BinothmanDepartment of Chemistry, College of Sciences & Arts, King Abdulaziz University, Rabigh, Saudi Arabia.
Najla Amin T Al KashgryDepartment of Biology, College of Science, Taif University, Taif, Saudi Arabia.
Sameer H QariDepartment of Biology, A1-Jumum University College, Umm A1-Qura University, Makkah, Saudi Arabia.
Government College University, Faisalabad · PKUmm al-Qura University · SAKing Abdulaziz University · SATaif University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The two-component system (TCS) genes are involved in a wide range of physiological processes in prokaryotes and eukaryotes. In plants, the TCS elements help in a variety of functions, including cell proliferation, response to abiotic and biotic stresses, leaf senescence, nutritional signaling, and division of chloroplasts. Three different kinds of proteins make up the TCS system in plants. These are known as HKs (histidine kinases), HPs (histidine phosphotransfer), and RRs (response regulators). We investigated the genome of

Indexed as

3D structuresABAdifferential expressionHKSHPSmolecular-dockingRRstwo-component system

Identifiers

PMID37063177
PMCPMC10102465
OpenAlexW4362519445

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.