Evidence map›Paper›PMID 21887580›Full record

ArticlePlant molecular biology2011

Transcriptional dynamics during cell wall removal and regeneration reveals key genes involved in cell wall development in rice.

Rita Sharma, Feng Tan, Ki-Hong Jung, Manoj K Sharma, Zhaohua Peng, Pamela C Ronald

Abstract read
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In one paragraph

Article in Plant molecular biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

12 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
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  8. Fine-mapping and validating qHTSF4.1 to increase spikelet fertility under heat stress at flowering in rice.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2015
    Article
  9. 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

6 authors at 4 institutions in 2 countries.

Rita SharmaDepartment of Plant Pathology, University of California, Davis, CA 95616, USA.
Feng Tan
Ki-Hong Jung
Manoj K Sharma
Zhaohua Peng
Pamela C Ronald
Mississippi State University · USUniversity of California, Davis · USJoint BioEnergy Institute · USKyung Hee University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Efficient and cost-effective conversion of plant biomass to usable forms of energy requires a thorough understanding of cell wall biosynthesis, modification and degradation. To elucidate these processes, we assessed the expression dynamics during enzymatic removal and regeneration of rice cell walls in suspension cells over time. In total, 928 genes exhibited significant up-regulation during cell wall removal, whereas, 79 genes were up-regulated during cell wall regeneration. Both gene sets are enriched for kinases, transcription factors and genes predicted to be involved in cell wall-related functions. Integration of the gene expression datasets with a catalog of known and/or predicted biochemical pathways from rice, revealed metabolic and hormonal pathways involved in cell wall degradation and regeneration. Rice lines carrying Tos17 mutations in genes up-regulated during cell wall removal exhibit dwarf phenotypes. Many of the genes up-regulated during cell wall development are also up-regulated in response to infection and environmental perturbations indicating a coordinated response to diverse types of stress.

Indexed as

Cells, CulturedCell WallGene Expression ProfilingGene Expression Regulation, PlantLigninMutationOryzaPectinsPhenotypePlant ProteinsPolysaccharidesStress, PhysiologicalTranscription, GenetichemicelluloseLigninPectinsPlant ProteinsPolysaccharides

Identifiers

PMID21887580
OpenAlexW2132903470

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.