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Transcription Profile Analyses Identify Genes and Pathways Central to Root Cap Functions in Maize

Overview of attention for article published in Plant Molecular Biology, February 2006
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 patents
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1 Wikipedia page

Citations

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52 Dimensions

Readers on

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78 Mendeley
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1 Connotea
Title
Transcription Profile Analyses Identify Genes and Pathways Central to Root Cap Functions in Maize
Published in
Plant Molecular Biology, February 2006
DOI 10.1007/s11103-005-4209-4
Pubmed ID
Authors

Keni Jiang, Shibo Zhang, Stanley Lee, George Tsai, Kyungpil Kim, Haiyan Huang, Charles Chilcott, Tong Zhu, Lewis J. Feldman

Abstract

Affymetrix GeneChips arrayed with about one-half (~23K) of the rice genes were used to profile gene transcription activity in three tissues comprising the maize root tip; the proximal meristem (PM), the quiescent center (QC), and the root cap (RC). Here we analyze the gene transcription profile of the RC, compared to both the PM and the QC, from three biological replicates. In the RC, a total of 669 genes were identified as being differentially upregulated, and 365 differentially downregulated. Real-time quantitative RT-PCR analysis was used to confirm upregulated genes in the RC. In addition, using the technique of laser microdissection (LMD) we localized upregulated gene expression to the lateral RC cells. Taken as a whole, transcription profile analyses revealed the upregulation in the maize RC of clusters of genes linked to major metabolic processes and pathways, including: (1) transport, both the export of carbohydrates and the uptake of nutrients; (2) sensing and responding to (often stressful) biotic and abiotic environmental stimuli; (3) integrating the responses of at least 3 major growth regulators (auxin, ethylene, jasmonic acid); (4) processing the large amount of carbohydrate transported into the RC. Although the profile data are derived using heterologous rice GeneChips, with about half of the total rice gene set, this study, nevertheless, provides a genomic scale characterization of the entire RC, and serves as a new platform from which to advance studies of the network of pathways operating in the maize RC.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 8%
Portugal 1 1%
Ethiopia 1 1%
Germany 1 1%
Spain 1 1%
United Kingdom 1 1%
Unknown 67 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 27%
Researcher 19 24%
Professor > Associate Professor 13 17%
Professor 5 6%
Student > Master 5 6%
Other 10 13%
Unknown 5 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 66 85%
Biochemistry, Genetics and Molecular Biology 2 3%
Environmental Science 1 1%
Social Sciences 1 1%
Design 1 1%
Other 0 0%
Unknown 7 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 December 2013.
All research outputs
#4,697,128
of 22,790,780 outputs
Outputs from Plant Molecular Biology
#390
of 2,846 outputs
Outputs of similar age
#19,814
of 154,690 outputs
Outputs of similar age from Plant Molecular Biology
#8
of 22 outputs
Altmetric has tracked 22,790,780 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,846 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 69% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 154,690 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.