Evidence map›Paper›PMID 18194570›Full record

ArticleBMC molecular biology2008

Small RNAs and the regulation of cis-natural antisense transcripts in Arabidopsis.

Hailing Jin, Vladimir Vacic, Thomas Girke, Stefano Lonardi, Jian-Kang Zhu

Open access · hybridAbstract readComparative Study
In one paragraph

Article in BMC molecular biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed
7.2field-weighted citation impact, top 2% 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

65 citing papers in PubMed, 135 citations in OpenAlex.

  1. Review
  2. The Multiverse of Plant Small RNAs: How Can We Explore It?International journal of molecular sciences · 2022
    Review
  3. Review
  4. Article
  5. Recent Advances in Plant Gene Silencing Methods.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  6. Modern Approaches for Transcriptome Analyses in Plants.Advances in experimental medicine and biology · 2021
    Article
  7. Article
  8. Review
  9. Article
  10. Article
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  15. Review
  16. Article
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  20. Review

5 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

5 authors at 1 institution in 1 country.

Hailing JinDepartment of Plant Pathology, Center for Plant Cell Biology and Institute for Integrative Genome Biology, University of California, Riverside, CA 92521, USA. hailingj@ucr.edu
Vladimir Vacic
Thomas Girke
Stefano Lonardi
Jian-Kang Zhu
University of California, Riverside · US

Funding

CALCIUM SIGNALING--INTRACELL ION HOMEOSTASIS REGULATIONR01GM059138 · NIGMS · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI ZHU, JIAN-KANG · 1999 to 2015
$4.4M
DNA Demethylation and Transcriptional Gene SilencingR01GM070795 · NIGMS · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI ZHU, JIAN-KANG · 2004 to 2015
$4.0M
NIGMS NIH HHS R01 GM059138NIGMS NIH HHS R01 GM070795NIGMS NIH HHS R01GM070795NIGMS NIH HHS R01GM59138
6 · The paper itself

Abstract

backgroundIn spite of large intergenic spaces in plant and animal genomes, 7% to 30% of genes in the genomes encode overlapping cis-natural antisense transcripts (cis-NATs). The widespread occurrence of cis-NATs suggests an evolutionary advantage for this type of genomic arrangement. Experimental evidence for the regulation of two cis-NAT gene pairs by natural antisense transcripts-generated small interfering RNAs (nat-siRNAs) via the RNA interference (RNAi) pathway has been reported in Arabidopsis. However, the extent of siRNA-mediated regulation of cis-NAT genes is still unclear in any genome.

resultsThe hallmarks of RNAi regulation of NATs are 1) inverse regulation of two genes in a cis-NAT pair by environmental and developmental cues and 2) generation of siRNAs by cis-NAT genes. We examined Arabidopsis transcript profiling data from public microarray databases to identify cis-NAT pairs whose sense and antisense transcripts show opposite expression changes. A subset of the cis-NAT genes displayed negatively correlated expression profiles as well as inverse differential expression changes under at least one of the examined developmental stages or treatment conditions. By searching the Arabidopsis Small RNA Project (ASRP) and Massively Parallel Signature Sequencing (MPSS) small RNA databases as well as our stress-treated small RNA dataset, we found small RNAs that matched at least one gene in 646 pairs out of 1008 (64%) protein-coding cis-NAT pairs, which suggests that siRNAs may regulate the expression of many cis-NAT genes. 209 putative siRNAs have the potential to target more than one gene and half of these small RNAs could target multiple members of a gene family. Furthermore, the majority of the putative siRNAs within the overlapping regions tend to target only one transcript of a given NAT pair, which is consistent with our previous finding on salt- and bacteria-induced nat-siRNAs. In addition, we found that genes encoding plastid- or mitochondrion-targeted proteins are over-represented in the Arabidopsis cis-NATs and that 19% of sense and antisense partner genes of cis-NATs share at least one common Gene Ontology term, which suggests that they encode proteins with possible functional connection.

conclusionThe negatively correlated expression patterns of sense and antisense genes as well as the presence of siRNAs in many of the cis-NATs suggest that siRNA regulation of cis-NATs via the RNAi pathway is an important gene regulatory mechanism for at least a subgroup of cis-NATs in Arabidopsis.

Indexed as

Gene Expression Regulation, PlantRNA InterferenceArabidopsisGene Expression ProfilingRNA, AntisenseRNA, Small InterferingRNA, AntisenseRNA, Small Interfering

Identifiers

PMID18194570
PMCPMC2262095
OpenAlexW1979154939

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.