Evidence map›Paper›PMID 18479511›Full record

ArticleBMC genomics2008

Arabidopsis mRNA polyadenylation machinery: comprehensive analysis of protein-protein interactions and gene expression profiling.

Arthur G Hunt, Ruqiang Xu, Balasubrahmanyam Addepalli, Suryadevara Rao, Kevin P Forbes, Lisa R Meeks, Denghui Xing, Min Mo, Hongwei Zhao, Amrita Bandyopadhyay and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

62 citing papers in PubMed, 125 citations in OpenAlex.

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  19. The circadian clock shapes theThe Journal of biological chemistry · 2020
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  20. Review

2 more citing papers are in PubMed but not listed here.

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

14 authors at 4 institutions in 2 countries.

Arthur G HuntDepartment of Plant and Soil Sciences, University of Kentucky, Lexington, KY 40546, USA. aghunt00@uky.edu
Ruqiang Xu
Balasubrahmanyam Addepalli
Suryadevara Rao
Kevin P Forbes
Lisa R Meeks
Denghui Xing
Min Mo
Hongwei Zhao
Amrita Bandyopadhyay
Lavanya Dampanaboina
Amanda Marion
Carol Von Lanken
Qingshun Quinn Li
University of Kentucky · USMiami University · USFamily Health Center of Worcester · USSigma Research (United States) · US

Funding

The Role of a New Cleavage and Polyadenylation Specificity Factor (CPSF73-II)R15GM077192 · NIGMS · MIAMI UNIVERSITY OXFORD · PI LI, QINGSHUN Q · 2007 to 2010
$271k
NIGMS NIH HHS 1R15GM077192-01A1NIGMS NIH HHS R15 GM077192
6 · The paper itself

Abstract

backgroundThe polyadenylation of mRNA is one of the critical processing steps during expression of almost all eukaryotic genes. It is tightly integrated with transcription, particularly its termination, as well as other RNA processing events, i.e. capping and splicing. The poly(A) tail protects the mRNA from unregulated degradation, and it is required for nuclear export and translation initiation. In recent years, it has been demonstrated that the polyadenylation process is also involved in the regulation of gene expression. The polyadenylation process requires two components, the cis-elements on the mRNA and a group of protein factors that recognize the cis-elements and produce the poly(A) tail. Here we report a comprehensive pairwise protein-protein interaction mapping and gene expression profiling of the mRNA polyadenylation protein machinery in Arabidopsis.

resultsBy protein sequence homology search using human and yeast polyadenylation factors, we identified 28 proteins that may be components of Arabidopsis polyadenylation machinery. To elucidate the protein network and their functions, we first tested their protein-protein interaction profiles. Out of 320 pair-wise protein-protein interaction assays done using the yeast two-hybrid system, 56 (approximately 17%) showed positive interactions. 15 of these interactions were further tested, and all were confirmed by co-immunoprecipitation and/or in vitro co-purification. These interactions organize into three distinct hubs involving the Arabidopsis polyadenylation factors. These hubs are centered around AtCPSF100, AtCLPS, and AtFIPS. The first two are similar to complexes seen in mammals, while the third one stands out as unique to plants. When comparing the gene expression profiles extracted from publicly available microarray datasets, some of the polyadenylation related genes showed tissue-specific expression, suggestive of potential different polyadenylation complex configurations.

conclusionAn extensive protein network was revealed for plant polyadenylation machinery, in which all predicted proteins were found to be connecting to the complex. The gene expression profiles are indicative that specialized sub-complexes may be formed to carry out targeted processing of mRNA in different developmental stages and tissue types. These results offer a roadmap for further functional characterizations of the protein factors, and for building models when testing the genetic contributions of these genes in plant growth and development.

Indexed as

Gene Expression ProfilingPolyadenylationArabidopsisArabidopsis ProteinsmRNA Cleavage and Polyadenylation FactorsProtein Interaction MappingRNA, MessengerArabidopsis ProteinsmRNA Cleavage and Polyadenylation FactorsRNA, Messenger

Identifiers

PMID18479511
PMCPMC2391170
OpenAlexW2164064395

What OpenQuestion holds

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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.