Evidence map›Paper›PMID 23975147›Full record

ArticlePlant molecular biology2014

Coexpression network analysis associated with call of rice seedlings for encountering heat stress.

Neelam K Sarkar, Yeon-Ki Kim, Anil Grover

Abstract read
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In one paragraph

Article in Plant molecular biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

42 citing papers in PubMed, 84 citations in OpenAlex.

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  7. Genome-wide association study of soybean (Frontiers in plant science · 2023
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  11. Global identification and integrated analysis of heat-responsive long non-coding RNAs in contrasting rice cultivars.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
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  12. Development ofFrontiers in genetics · 2022
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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 2 institutions in 2 countries.

Neelam K SarkarDepartment of Plant Molecular Biology, University of Delhi South Campus, New Delhi, 110021, India.
Yeon-Ki Kim
Anil Grover
University of Delhi · INMyongji University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coexpression network analysis is useful tool for identification of functional association of coexpressed genes. We developed a coexpression network of rice from heat stress transcriptome data. Global transcriptome of rice leaf tissues was performed by microarray at three time points--post 10 and 60 min heat stress at 42 °C and 30 min recovery at 26 °C following 60 min 42 °C heat stress to investigate specifically the early events in the heat stress and recovery response. The transcriptome profile was significantly modulated within 10 min of heat stress. Strikingly, the number of up-regulated genes was higher than the number of down-regulated genes in 10 min of heat stress. The enrichment of GO terms protein kinase activity/protein serine threonine kinase activity, response to heat and reactive oxygen species in up-regulated genes after 10 min signifies the role of signal transduction events and reactive oxygen species during early heat stress. The enrichment of transcription factor (TF) binding sites for heat shock factors, bZIPs and DREBs coupled with up-regulation of TFs of different families suggests that the heat stress response in rice involves integration of various regulatory networks. The interpretation of microarray data in the context of coexpression network analysis identified several functionally correlated genes consisting of previously documented heat upregulated genes as well as new genes that can be implicated in heat stress. Based on the findings on parallel analysis of growth of seedlings, associated changes in transcripts of selected Hsps, genome-wide microarray profiling and the coexpression network analysis, this study is a step forward in understanding heat response of rice, the world's most important food crop.

Indexed as

Cluster AnalysisGene Expression Regulation, PlantHot TemperatureOligonucleotide Array Sequence AnalysisOryzaPlant ProteinsSignal TransductionStress, PhysiologicalTranscriptomePlant Proteins

Identifiers

PMID23975147
OpenAlexW1964294261

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.