Evidence map›Paper›PMID 34251629›Full record

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

Assessing Global Circadian Rhythm Through Single-Time-Point Transcriptomic Analysis.

Xingwei Wang, Yufeng Xu, Mian Zhou, Wei Wang

Abstract read
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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. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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

4 authors.

Xingwei WangState Key Laboratory for Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing, China.
Yufeng XuCollege of Life Sciences, Capital Normal University, Beijing, China.
Mian ZhouCollege of Life Sciences, Capital Normal University, Beijing, China. mianzhou@cnu.edu.cn.
Wei WangState Key Laboratory for Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing, China. oneway1985@pku.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plant circadian clock has emerged as a central hub integrating various endogenous signals and exogenous stimuli to coordinate diverse plant physiological processes. The intimate relationship between crop circadian clock and key agronomic traits has been increasingly appreciated. However, due to the lack of fundamental genetic resources, more complex genome structures and the high cost of large-scale time-course circadian expression profiling, our understanding of crop circadian clock is still very limited. To study plant circadian clock, conventional methods rely on time-course experiments, which can be expensive and time-consuming. Different from these conventional approaches, the molecular timetable method can estimate the global rhythm using single-time-point transcriptome datasets, which has shown great promises in accelerating studies of crop circadian clock. Here we describe the application of the molecular timetable method in soybean and provide key technical caveats as well as related R Markdown scripts.

Indexed as

Circadian ClocksCircadian RhythmCorrelation of DataGene Expression ProfilingGene Expression Regulation, PlantGlycine maxTranscriptomeCircadian clockMolecular timetableSoybeanSubmergenceTranscriptome

Identifiers

PMID34251629

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.