- Open Access
Genome-wide prediction and identification of cis-natural antisense transcripts in Arabidopsis thaliana
© Wang et al.; licensee BioMed Central Ltd. 2005
- Received: 17 December 2004
- Accepted: 25 February 2005
- Published: 15 March 2005
Natural antisense transcripts (NAT) are a class of endogenous coding or non-protein-coding RNAs with sequence complementarity to other transcripts. Several lines of evidence have shown that cis- and trans-NATs may participate in a broad range of gene regulatory events. Genome-wide identification of cis-NATs in human, mouse and rice has revealed their widespread occurrence in eukaryotes. However, little is known about cis-NATs in the model plant Arabidopsis thaliana.
We developed a new computational method to predict and identify cis-encoded NATs in Arabidopsis and found 1,340 potential NAT pairs. The expression of both sense and antisense transcripts of 957 NAT pairs was confirmed using Arabidopsis full-length cDNAs and public massively parallel signature sequencing (MPSS) data. Three known or putative Arabidopsis imprinted genes have cis-antisense transcripts. Sequences and the genomic arrangement of two Arabidopsis NAT pairs are conserved in rice.
We combined information from full-length cDNAs and Arabidopsis genome annotation in our NAT prediction work and reported cis-NAT pairs that could not otherwise be identified by using one of the two datasets only. Analysis of MPSS data suggested that for most Arabidopsis cis-NAT pairs, there is predominant expression of one of the two transcripts in a tissue-specific manner.
- Additional Data File
- Arabidopsis Genome
- Antisense Transcript
- Massively Parallel Signature Sequencing
- Natural Antisense Transcript
In the past few years, several families of regulatory RNA molecules have been shown to be widely expressed in eukaryotes [1, 2]. Natural antisense transcripts (NATs) belong to one such family. NATs are endogenous RNA molecules whose partial or entire sequences exhibit complementarity to other transcripts. There are two types of NATs. Cis-NATs are transcribed from the same genomic loci as their sense transcripts but on the opposite DNA strand. By contrast, trans-NATs are expressed from genomic regions distinct from those encoding their sense transcripts [3–5]. Cis-NATs and their sense RNAs are usually related in a one-to-one fashion, whereas a single trans-NAT may target several sense transcripts; for example, one type of micro RNA (miRNA) could regulate the expression of several distinct target mRNAs .
Studies performed in various organisms have suggested that NATs can participate in a broad range of regulatory events, such as transcription occlusion resulting in the reciprocal expression of sense-antisense RNAs [7, 8] and RNA interference (RNAi) which leads to the degradation of double-stranded sense-antisense transcript pairs . There is evidence for the involvement of NATs in alternative splicing [10, 11], RNA editing [12, 13], DNA methylation [14, 15], genomic imprinting [16–20] and X-chromosome inactivation . NATs are also known to regulate expression of some circadian clock genes . However, because each of the above regulatory modes was only observed in a few cases, the general biological functions and regulatory mechanisms of NATs are still unclear.
Recent large-scale NAT identifications in several model organisms have revealed the widespread existence of cis-NATs in eukaryotes. Lehner et al. first reported 372 NATs in human by searching for overlapping mRNA sequences in public databases . Using a public expressed sequence tag (EST) database, Shendure and Church also found 144 human NATs and 73 mouse NATs . In a later work, Yelin et al. predicted 2,667 NATs in human and concluded that around 1,600 NAT pairs were transcribed from both strands after experimental validation . The RIKEN group identified 2,481 NAT pairs and 899 non-antisense bidirectional transcript units from 60,770 mouse full-length cDNAs . A similar analysis by the same group uncovered 687 bidirectional transcript pairs from 32,127 rice (Oryza sativa) full-length cDNAs . Antisense expression of about 7,600 annotated genes was observed in a recent work using whole-genome arrays to analyze the transcription activity of the A. thaliana genome. However, a detailed list of these Arabidopsis antisense RNAs and their complete analysis is not yet available . We note that in all previous investigations NAT prediction focused on cis-NATs only.
Here, we present results of a genome-wide computational search to predict and identify cis-NATs in Arabidopsis. Combining sequence information of Arabidopsis full-length cDNAs from the public databases and Arabidopsis annotated genes from the Arabidopsis genome release, we have identified 1,340 potential cis-NAT pairs. Expression evidence for transcripts derived from both strands of 957 cis-NAT pairs was obtained from the Arabidopsis full-length cDNA and the public Arabidopsis massively parallel signature sequencing (MPSS) database.
Prediction and identification of Arabidopsis cis-NAT pairs
To search for cis-encoded Arabidopsis natural antisense transcripts, we aligned all Arabidopsis full-length cDNA sequences collected in the UniGene and RIKEN datasets with the Arabidopsis genome sequences. Pairs of transcripts that satisfied the following criteria were selected as cis-encoded natural sense-antisense transcript pairs (referred to as NAT pairs hereafter): first, cDNAs of both transcripts can be uniquely mapped to the Arabidopsis genome with at least 96% sequence identity; second, the two transcripts are derived from opposite strands of the genome; third, both transcripts are encoded by overlapping genomic loci, and the overlap length is longer than 50 nucleotides; fourth, the sense and antisense transcripts have distinct splicing patterns. Applying all of the above criteria, we identified 332 sense-antisense pairs from Arabidopsis full-length cDNAs. These NAT pairs are referred to as cDNA-NATs.
The 332 pairs of cDNA-NATs can be grouped into two categories. The first category contained 145 NAT pairs in which both the sense and antisense transcripts had nearly perfect annotated gene matches. The second category contained 187 NAT pairs in which at least one transcript had no corresponding annotated gene. This observation led us to hypothesize that additional NAT pairs, whose corresponding cDNAs were not included in the UniGene and RIKEN Arabidopsis full-length cDNA datasets, could be identified using the Arabidopsis genome annotation.
For most NAT pairs in the second category of the cDNA-NAT set, only one transcript in each pair matched an annotated gene. This indicates that transcripts of some full-length cDNAs could form cis-NAT pairs with other transcripts, although their corresponding genes are not included in the current Arabidopsis genome annotation. In a search of such NAT pairs, we compared the genomic loci of the UniGene and RIKEN Arabidopsis full-length cDNAs with those of annotated genes and identified 1,291 full-length cDNAs whose transcripts could form cis-NAT pairs with potential transcripts of annotated genes (see Materials and methods for criteria). The 1,291 genomic-cDNA-NAT pairs included the 332 cDNA-NAT pairs and 758 unique genomic-NAT pairs. Therefore, 201 unique NAT pairs were predicted by the cDNA-genome comparison approach and are referred to as unique genomic-cDNA-NAT pairs hereafter (Figure 1b).
In total, we have found 1,340 potential NAT pairs from three categories: 332 pairs with cDNA evidence for both sense and antisense transcripts; 807 pairs based on the Arabidopsis genome annotation (including 758 pairs with full-length cDNA evidence for one strand) and another 201 genomic-cDNA pairs by combining genome annotation with full-length cDNA sequence information.
Characterization of ArabidopsisNAT pairs
Structure analysis of NAT pairs
Number of pairs
Tail to tail (3' to 3')
Head to head (5' to 5')
One transcript contained entirely within the other transcript
Two transcripts overlap only within introns
Chromosomal distribution of NAT pairs
Number of NAT pairs
Chromosome size (Mb)
Splicing pattern and coding potential of Arabidopsis full-length cDNAs and annotated genes
The Arabidopsis genome
Number of transcripts with perfect genome match
Number of transcripts with ORFs
Number of non-spliced transcripts with ORFs
Number of transcripts without ORFs
Number of non-spliced transcripts without ORFs
Expression analysis of NAT pairs using public ArabidopsisMPSS data
To investigate the expression of our predicted NAT pairs, we used the public Arabidopsis MPSS data at the University of Delaware . MPSS is a bead-based sequencing technology that identifies a sequence of 17-20 nucleotides from each transcript. This sequencing technique is capable of identifying new, rarely expressed transcripts. MPSS can also quantitatively measure the expression level of a transcript because the transcripts per million (TMP) value for a transcript in the sequencing results reflect its in vivo abundance [32, 33].
Summary of MPSS matches for NAT pairs
Number of NAT pairs
Total NAT pairs
Number of pairs with MPSS matches on both strands
Expressed absolutely in different libraries
Expressed mainly in different libraries, occasionally in same libraries
Examples of NAT pairs with MPSS matches on both strands
We also found additional 222 genomic-NAT pairs and 51 genomic-cDNA-NAT pairs with full-length cDNA evidence for one transcript and MPSS data for the other transcript. Together with the 332 cDNA-NAT pairs, we have obtained either full-length cDNA or MPSS expression evidence for both transcripts of 957 NAT pairs, corresponding to 71.4% of the total 1340 pairs ((455 - 103) + 332 + 222 + 51 = 957).
siRNA matches of NAT pairs
siRNA matches of NAT pairs
Category of NAT pairs
Overlap length (nucleotides)
Replication protein, putative
Membrane protein, putative
Pentatricopeptide (PPR) repeat-containing protein
Ras-related GTP-binding protein, putative
Protein kinase family protein
Mitochondrial import receptor subunit TOM7
Small nuclear ribonucleoprotein, putative
Acetyl-CoA C-acyltransferase 1
No coding potential
Putative transcription factor
Pentatricopeptide (PPR) repeat containing protein
No coding potential
No coding potential
TCP family transcription factor
Exocyst subunit EXO70 family protein
No coding potential
No coding potential
Conservation of ArabidopsisNAT pairs in rice
Conserved NAT pairs of Arabidopsis and rice
Overlap length (nucleotides)
NAT pair 1
Tail to tail
DNA topoisomerase VIA
PPR repeat-containing protein
Tail to tail
DNA topoisomerase VIA
PPR repeat-containing protein
NAT pair 2
Tail to tail
Chlorophyll A-B binding protein
Myosin heavy chain
Tail to tail
Chlorophyll A-B binding protein
Myosin heavy chain
Although NATs are often seen in prokaryotes, their prevalence in eukaryotes was not detected until the past few years [23–27, 34]. In this work, we combined sequence information on Arabidopsis full-length cDNAs with that from the Arabidopsis genome annotation and identified 1,340 potential cis-NAT pairs in Arabidopsis (Additional data file 1, 2, 3).
Assessment of our NAT prediction methods
The 1,340 Arabidopsis NAT pairs were identified from three sources. First, by aligning full-length cDNA sequences to the Arabidopsis genome, we identified 332 cDNA-NAT pairs. However, comparison of these 332 cDNA-NAT pairs with Arabidopsis annotated genes showed that more than half of these NAT pairs had one partner that was not included in the current Arabidopsis genome annotation. Because traditional genome annotation mainly aims at the identification of protein coding genes within a genome, there is the possibility that non-coding antisense transcripts may be overlooked by currently trained gene finders. A recent report using a genome tiling array to examine the transcription activity of the entire Arabidopsis genome also supports this notion .
To search for potential NAT pairs not included in the current full-length Arabidopsis cDNA library, we compared the genomic coordinates of all annotated genes with each other and with those of full-length cDNAs. This approach uncovered another 807 overlapping genomic-NAT pairs based on the annotation of their corresponding genes, and 201 genomic-cDNA-NAT pairs, each including a transcript derived from an annotated gene on one strand and a transcript represented in the full-length cDNA database on the other strand. The full-length cDNAs included in genomic-cDNA-NAT pairs either had no annotated gene match or their corresponding transcripts cannot form cis-NAT pairs with transcripts of other genes based on their annotation. These results indicate that although the Arabidopsis genome is currently one of the best annotated eukaryotic genomes, a lot of information is still missing. The identification in eukaryotes of several classes of regulatory RNA genes, such as those encoding natural antisense transcripts, which are the focus here, will not only further our understanding of genome structure and gene regulation, but will also open a new window for improved genome annotation.
Most antisense prediction work reported to date has focused on identifying NATs from expressed cDNAs and ESTs [23–27]. In this work, we avoided using ESTs because of the ambiguous orientation of some sequences. We also included sequence information of annotated Arabidopsis genes in our NAT prediction in order to provide a more complete picture of antisense transcripts in Arabidopsis. The reliability of our approach is supported by the following lines of evidence: first, the expression of both sense and antisense transcripts of 293 pairs of genomic-NATs (36.3% of a total of 807) was observed in the public MPSS data, and another 222 genomic-NAT pairs (27.5% of a total of 807) have full-length cDNA evidence for one transcript and associated MPSS data for the other transcript; second, the two NAT pairs which were conserved in rice were also identified in our Arabidopsis genomic-NAT dataset; third, it is known that imprinted genes are likely subject to antisense regulation; three of the six reported Arabidopsis imprinted genes [35–39], FIE, FIS2 and MSI1, are included in our genomic-NAT sets. However, it remains possible that some genomic-NAT pairs are false positives if the lengths of their untranslated regions (UTRs) were annotated inaccurately.
In rice, both transcripts of 86% of the NAT pairs have coding sequence (CDS) regions whereas 28% of the predicted Arabidopsis NAT pairs include at least one transcript without coding potential. Non-protein-coding transcripts are more prevalent in cDNA-and genomic-cDNA-NAT pairs in that 170 cDNA NAT pairs and 156 genomic-cDNA-NAT pairs include one non-protein-coding transcript. We used Genescan to evaluate the coding potential of each transcript by screening their corresponding genomic DNA sequence for valid gene structures. Using annotated genes as controls, we estimated the false-negative rate of our definition of coding potential to be 2.3%. Unlike CDS-containing antisense transcripts that may be translated into proteins under certain conditions, transcripts without any protein-coding potential could possess solely regulatory functions.
In our work described here, and in all other genome-wide antisense transcript identification papers published so far [23–27], the investigation was focused on cis-antisense RNAs, which are transcribed from the same genomic loci as their sense RNAs, but on the opposite genome strand. To ensure the cis-antisense relationship of NATs reported here, only cDNAs with unique genomic loci were included in this study. We note that certain number of trans-antisense transcripts also exist in cells. Examples include miRNAs and siRNAs which are widely studied in most model organisms . Genome-wide identification of trans-antisense transcripts in Arabidopsis is being attempted.
Evaluation of NAT expression using MPSS data
The non-gel-based properties of MPSS technology render it an ideal resource for evaluating the expression profile of NAT pairs for the following reasons: first, because the MPSS technology captures almost all polyadenylated transcripts within cells, this technology is theoretically capable of identifying new, rarely expressed transcripts without prior knowledge of their corresponding genes; second, the digital result of MPSS reflects the expression pattern of a sequenced RNA molecule, and therefore provides a quantitative relationship between the sense and antisense transcript of a NAT pair in different tissues. This information was not available in any of the previous NAT prediction work [32, 33].
Using the full-length cDNA and public Arabidopsis MPSS data, we were able to obtain expression evidence for both transcripts of 957 NAT pairs. The digital nature of MPSS data enabled us to evaluate the expression relationship of the sense and antisense transcripts directly. Our results showed that the sense and antisense transcripts of a NAT pair tend to be expressed in different tissues or under different conditions. In addition, in cases where the sense and antisense transcripts of a NAT pair were expressed in the same library, one type of transcript was usually more abundant than the other. On average, transcripts of NAT pairs were found to be coexpressed in only two libraries, whereas dominant expression (the expression level of one transcript was at least three times higher than that of the other transcript) or absolute expression (only one transcript of a NAT pair was expressed) was observed in nine libraries. The tissue-specific expression of sense and antisense transcripts observed in this study is consistent with the Arabidopsis genome transcription study using a whole genome-tiling array, in which about 7,600 genes were found to have tissue-specific sense and antisense expression . Although a detailed list of these 7,600 genes is not yet available, it is possible that for some genes not included in our list, the antisense transcription activity was contributed by trans-antisense transcripts. This could explain why we predicted fewer NAT pairs than the previous work, as our work only focuses on cis-antisense transcripts.
To ensure the MPSS sequences were indeed generated by their matching transcripts, all MPSS data were first aligned with the Arabidopsis genome and all annotated mRNAs to remove signatures with multiple genomic loci. Therefore, unless an MPSS signature sequence was derived from the joint-exon region of some transcripts that are not included in the current genome annotation, it should originate from its corresponding transcript.
Speculation on the function and origin of NATs
One possible function of NATs is to trigger the degradation of their sense transcripts via the RNAi pathway. However, in our study, we found only 11 NAT pairs with known siRNA matches. There are two possible explanations for this observation. First, the current public Arabidopsis siRNA database, which only contains 1,822 unique siRNA sequences, is small and does not cover all siRNAs associated with sequences of the NAT pairs reported here. Second, all NATs identified in this work are cis-antisense transcripts. siRNAs are used to downregulate expression levels of their target mRNA to achieve a low protein concentration. Cis-antisense transcripts can accomplish the same goal by interfering with the transcription of their sense transcripts, and this might be a more energy-efficient mechanism to achieve local gene regulation. This hypothesis predicts that we would expect to find more siRNAs associated with trans-antisense transcripts.
For most NAT pairs with associated MPSS data for both transcripts, the expression of sense and antisense transcripts tends to occur in different tissues. In these cases, we could speculate that transcription of genes encoding these NAT transcript pairs may be regulated by similar factors but that the production of antisense transcripts might interfere with the transcription of their sense transcripts, resulting in reciprocal expression patterns. Another possibility is that the two genes of a NAT pair are subject to different transcriptional regulation and consequently they are never expressed in the same tissue at the same time. Functional analysis of all NAT pairs using gene ontology reveals no over-representation of any functional category compared to the Arabidopsis genome, indicating that cis-antisense regulation might be a global mechanism for all gene families. Further experiments are needed to investigate the validity of these hypotheses.
Antiparallel transcription and antisense transcripts are known to be involved in genomic imprinting of Xist gene in mouse and human . There is supporting evidence that the MEA and PHE genes of Arabidopsis are imprinted , and in addition, FIS2, FIE, MSI1 and FWA may also be imprinted, although the evidence for these four other genes is not unequivocal [36–39]. Nonetheless, we found antisense transcription units for FIS2, FIE and FWA, suggesting that transcription of these three genes might be regulated by antisense transcripts, or their antisense transcripts might be involved in silencing their expression. Genomic imprinting usually involves a chromosomal locus and, in certain cases, may even extend overa chromosomal region. Given the close proximity of the sense-antisense gene transcripts if one member of the pair is imprinted, it is likely that the other would be subject to the same regulation. Unfortunately, because of the absence of data on imprinted genes in rice, we were unable to examine whether imprinted genes were also subject to antisense regulation in rice.
We found that two Arabidopsis NAT pairs are conserved in rice. These conserved NAT pairs could be used to study the antisense regulatory mechanism and the origin of NATs in plants. Given over 150 million years of evolutionary distance between Arabidopsis and rice, the gene order on the two genomes has diverged quite significantly. Therefore, the conservation of these two NAT pairs might have some functional relevance. A closer comparison of the Arabidopsis and rice NAT pairs and the identification of additional conserved NAT pairs could help address this issue.
Taken together, our results provide the first genome-wide identification and prediction of NATs in Arabidopsis. These results will facilitate functional studies of NATs in this model plant, as well as in other plant species, and help to unravel complex gene regulatory networks in eukaryotes.
Identification of sense-antisense transcript pairs from full-length cDNA datasets
The Arabidopsis UniGene (Build 45) dataset (file named At.seq.all) was downloaded from the National Center for Biotechnology Information (NCBI) UniGene Resources [40, 41]. A total of 20,683 full-length cDNA sequences were extracted from the UniGene dataset by selecting sequences marked as 'Full-length/full-length cDNA'. The RIKEN Arabidopsis full-length cDNA dataset, which contains 13,181 sequences, was downloaded from the RIKEN BioResource Center (BRC) [42, 43]. The 20,683 UniGene and 13,181 RIKEN full-length cDNAs were aligned to the Arabidopsis genome sequences from The Institute for Genomic Research (TIGR) (release version 5)  by BLAT. The splicing pattern of the transcript derived from each cDNA was further confirmed using the sim4 sequence alignment program [29, 44, 45]. cDNAs with at least 96% sequence identity to the Arabidopsis genome were used in the following analysis. For pairs of cDNAs encoded by opposite strands of the Arabidopsis genome and sharing overlapping genomic loci, if both their corresponding sense and antisense transcripts had no other genomic locations and exhibited different splicing patterns, they were selected as encoding sense-antisense transcript pairs and are referred to as cDNA-NAT pairs in the text.
Prediction of sense-antisense transcript pairs using the Arabidopsisgenome annotation and full-length cDNAs
We used the A. thaliana genome annotations from TIGR (release version 5) in this study [44, 45]. Putative NAT pairs were identified on the basis of annotated genomic loci of Arabidopsis genes. If a pair of overlapping genes were located on opposite strands of the Arabidopsis genome and at least one gene had no annotated UTR at the overlap end, their encoded transcripts were selected as a putative NAT pair regardless of the overlap length of the encoded transcripts. Otherwise, if a pair of antiparallel overlapping genes both have annotated UTR regions at the overlap end, the overlap length of their encoded transcripts must be longer than 50 nucleotides to qualify as NAT pairs. NAT pairs from the above two categories are both referred to as genomic-NAT pairs in the text.
Genomic-cDNA-NAT pairs were identified by comparing the genomic loci of full-length cDNAs with those of annotated genes. UniGene and RIKEN full-length cDNAs with unique genomic locations and at least 96% sequence identity to the Arabidopsis genome were used in this step. Using the same criteria for genomic NATs, if an annotated gene had a overlap cDNA match on the opposite strand and the transcript of the annotated gene and that derived from the antisense cDNA had different splicing patterns, the gene and its matching cDNA were selected as a genomic-cDNA-NAT pair.
Splicing pattern and coding potential evaluation of full-length cDNAs and annotated genes
Splicing patterns of transcripts encoded by full-length cDNAs were obtained by aligning the cDNA sequences to the Arabidopsis genome using the sim4 program . Splicing patterns of transcripts derived from Arabidopsis annotated genes were extracted from the TIGR Arabidopsis genome annotation (release version 5) . To evaluate the coding potential of full-length cDNAs, their corresponding genomic sequences (determined by BLAT and sim4 result) were extracted and screened by GeneScan .
Identification of MPSS evidence for NAT pairs
We used the public Arabidopsis MPSS data at the University of Delaware  to evaluate the expression of NAT pairs. MPSS sequences from 14 different libraries of Arabidopsis Columbia-0 (Col-0) ecotype were downloaded from . Each MPSS library contained signature sequences identified from the same tissue. The quality of these MPSS sequences was evaluated according to the information provided by the database. Only MPSS sequences with 'reliable' (present in more than one sequencing run) and 'significant' (TPM ≥ 4) expression pattern were considered as 'trusted' signatures and used in this analysis.
The public MPSS database contained 87,705 trusted signatures that satisfied the above expression criteria. These signatures were aligned to the sequences of the 1,340 putative NAT pairs to identify MPSS sequences derived from them. Signatures with multiple perfect matches to the Arabidopsis genome or to cDNAs had ambiguous origins and were not considered further. For a NAT pair, if both the sense and antisense transcripts had associated MPSS data and their expression values were both significant in one or more libraries, transcripts in this NAT pair were considered as coexpressed in the same tissue. On the other hand, if both transcripts had MPSS data but had no significant coexpression in any of the examined libraries, then the transcripts were considered as expressed, but in different libraries.
Homology comparison with reported rice NATs
Full-length cDNA sequences of the 687 rice NAT pairs were downloaded from the website described in . To facilitate protein sequence comparison, the rice and Arabidopsis cDNAs were mapped to their corresponding genomes by BLAT . Both the A. thaliana and O. sativa genomes were downloaded from TIGR . The corresponding genomic sequences of each cDNA were extracted according to their genomic coordinates from the BLAT results. Protein sequences were obtained by evaluating the genomic sequences of those cDNAs using GENSCAN . The protein sequences of rice NATs were aligned with those of Arabidopsis NATs using blastp . High similarity pairs with E-value less than 10-30 and alignment coverage greater than 50% of query sequence were considered as homologous sequences.
We thank Takatoshi Kiba and Siripong Thitamadee for fruitful discussions and Peter Hare and Yupu Liang for carefully reading the manuscript. This research was supported by NIH GM44640 to N-H.C. and DBI-9984882 to T.G.
- Szymanski M, Barciszewska MZ, Zywicki M, Barciszewski J: Noncoding RNA transcripts. J Appl Genet. 2003, 44: 1-19.PubMedGoogle Scholar
- Eddy SR: Non-coding RNA genes and the modern RNA world. Nat Rev Genet. 2001, 2: 919-929. 10.1038/35103511.PubMedView ArticleGoogle Scholar
- Lavorgna G, Dahary D, Lehner B, Sorek R, Sanderson CM, Casari G: In search of antisense. Trends Biochem Sci. 2004, 29: 88-94. 10.1016/j.tibs.2003.12.002.PubMedView ArticleGoogle Scholar
- Kumar M, Carmichael GG: Antisense RNA: function and fate of duplex RNA in cells of higher eukaryotes. Microbiol Mol Biol Rev. 1998, 62: 1415-1434.PubMedPubMed CentralGoogle Scholar
- Vanhee-Brossollet C, Vaquero C: Do natural antisense transcripts make sense in eukaryotes?. Gene. 1998, 211: 1-9. 10.1016/S0378-1119(98)00093-6.PubMedView ArticleGoogle Scholar
- Bartel DP: MicroRNAs: genomics, biogenesis, mechanism, and function. Cell. 2004, 116: 281-297. 10.1016/S0092-8674(04)00045-5.PubMedView ArticleGoogle Scholar
- Silverman TA, Noguchi M, Safer B: Role of sequences within the first intron in the regulation of expression of eukaryotic initiation factor 2 alpha. J Biol Chem. 1992, 267: 9738-9742.PubMedGoogle Scholar
- Farrell CM, Lukens LN: Naturally occurring antisense transcripts are present in chick embryo chondrocytes simultaneously with the down-regulation of the alpha 1 (I) collagen gene. J Biol Chem. 1995, 270: 3400-3408. 10.1074/jbc.270.7.3400.PubMedView ArticleGoogle Scholar
- Billy E, Brondani V, Zhang H, Muller U, Filipowicz W: Specific interference with gene expression induced by long, double-stranded RNA in mouse embryonal teratocarcinoma cell lines. Proc Natl Acad Sci USA. 2001, 98: 14428-14433. 10.1073/pnas.261562698.PubMedPubMed CentralView ArticleGoogle Scholar
- Munroe SH, Lazar MA: Inhibition of c-erbA mRNA splicing by a naturally occurring antisense RNA. J Biol Chem. 1991, 266: 22083-22086.PubMedGoogle Scholar
- Sureau A, Soret J, Guyon C, Gaillard C, Dumon S, Keller M, Crisanti P, Perbal B: Characterization of multiple alternative RNAs resulting from antisense transcription of the PR264/SC35 splicing factor gene. Nucleic Acids Res. 1997, 25: 4513-4522. 10.1093/nar/25.22.4513.PubMedPubMed CentralView ArticleGoogle Scholar
- Peters NT, Rohrbach JA, Zalewski BA, Byrkett CM, Vaughn JC: RNA editing and regulation of Drosophila 4f-rnp expression by sas-10 antisense readthrough mRNA transcripts. RNA. 2003, 9: 698-710. 10.1261/rna.2120703.PubMedPubMed CentralView ArticleGoogle Scholar
- Kim DD, Kim TT, Walsh T, Kobayashi Y, Matise TC, Buyske S, Gabriel A: Widespread RNA editing of embedded alu elements in the human transcriptome. Genome Res. 2004, 14: 1719-1725. 10.1101/gr.2855504.PubMedPubMed CentralView ArticleGoogle Scholar
- Tufarelli C, Stanley JA, Garrick D, Sharpe JA, Ayyub H, Wood WG, Higgs DR: Transcription of antisense RNA leading to gene silencing and methylation as a novel cause of human genetic disease. Nat Genet. 2003, 34: 157-165. 10.1038/ng1157.PubMedView ArticleGoogle Scholar
- Lewis A, Mitsuya K, Umlauf D, Smith P, Dean W, Walter J, Higgins M, Feil R, Reik W: Imprinting on distal chromosome 7 in the placenta involves repressive histone methylation independent of DNA methylation. Nat Genet. 2004, 36: 1291-1295. 10.1038/ng1468.PubMedView ArticleGoogle Scholar
- Moore T, Constancia M, Zubair M, Bailleul B, Feil R, Sasaki H, Reik W: Multiple imprinted sense and antisense transcripts, differential methylation and tandem repeats in a putative imprinting control region upstream of mouse Igf2. Proc Natl Acad Sci USA. 1997, 94: 12509-12514. 10.1073/pnas.94.23.12509.PubMedPubMed CentralView ArticleGoogle Scholar
- Sleutels F, Zwart R, Barlow DP: The non-coding Air RNA is required for silencing autosomal imprinted genes. Nature. 2002, 415: 810-813.PubMedView ArticleGoogle Scholar
- Yamasaki K, Joh K, Ohta T, Masuzaki H, Ishimaru T, Mukai T, Niikawa N, Ogawa M, Wagstaff J, Kishino T: Neurons but not glial cells show reciprocal imprinting of sense and antisense transcripts of Ube3a. Hum Mol Genet. 2003, 12: 837-847. 10.1093/hmg/ddg106.PubMedView ArticleGoogle Scholar
- Thakur N, Tiwari VK, Thomassin H, Pandey RR, Kanduri M, Gondor A, Grange T, Ohlsson R, Kanduri C: An antisense RNA regulates the bidirectional silencing property of the Kcnq1 imprinting control region. Mol Cell Biol. 2004, 24: 7855-7862. 10.1128/MCB.24.18.7855-7862.2004.PubMedPubMed CentralView ArticleGoogle Scholar
- Wang Y, Joh K, Masuko S, Yatsuki H, Soejima H, Nabetani A, Beechey CV, Okinami S, Mukai T: The mouse Murr1 gene is imprinted in the adult brain, presumably due to transcriptional interference by the antisense-oriented U2af1-rs1 gene. Mol Cell Biol. 2004, 24: 270-279. 10.1128/MCB.24.1.270-279.2004.PubMedPubMed CentralView ArticleGoogle Scholar
- Lee JT, Davidow LS, Warshawsky D: Tsix, a gene antisense to Xist at the X-inactivation centre. Nat Genet. 1999, 21: 400-404. 10.1038/7734.PubMedView ArticleGoogle Scholar
- Crosthwaite SK: Circadian clocks and natural antisense RNA. FEBS Lett. 2004, 567: 49-54. 10.1016/j.febslet.2004.04.073.PubMedView ArticleGoogle Scholar
- Lehner B, Williams G, Campbell RD, Sanderson CM: Antisense transcripts in the human genome. Trends Genet. 2002, 18: 63-65. 10.1016/S0168-9525(02)02598-2.PubMedView ArticleGoogle Scholar
- Shendure J, Church GM: Computational discovery of sense-antisense transcription in the human and mouse genomes. Genome Biol. 2002, 3: research0044.1-research0044.14. 10.1186/gb-2002-3-9-research0044.View ArticleGoogle Scholar
- Yelin R, Dahary D, Sorek R, Levanon EY, Goldstein O, Shoshan A, Diber A, Biton S, Tamir Y, Khosravi R, et al: Widespread occurrence of antisense transcription in the human genome. Nat Biotechnol. 2003, 21: 379-386. 10.1038/nbt808.PubMedView ArticleGoogle Scholar
- Kiyosawa H, Yamanaka I, Osato N, Kondo S, Hayashizaki Y: Antisense transcripts with FANTOM2 clone set and their implications for gene regulation. Genome Res. 2003, 13: 1324-1334. 10.1101/gr.982903.PubMedPubMed CentralView ArticleGoogle Scholar
- Osato N, Yamada H, Satoh K, Ooka H, Yamamoto M, Suzuki K, Kawai J, Carninci P, Ohtomo Y, Murakami K, et al: Antisense transcripts with rice full-length cDNAs. Genome Biol. 2003, 5: R5-10.1186/gb-2003-5-1-r5.PubMedPubMed CentralView ArticleGoogle Scholar
- Yamada K, Lim J, Dale JM, Chen H, Shinn P, Palm CJ, Southwick AM, Wu HC, Kim C, Nguyen M, et al: Empirical analysis of transcriptional activity in the Arabidopsis genome. Science. 2003, 302: 842-846. 10.1126/science.1088305.PubMedView ArticleGoogle Scholar
- Florea L, Hartzell G, Zhang Z, Rubin GM, Miller W: A computer program for aligning a cDNA sequence with a genomic DNA sequence. Genome Res. 1998, 8: 967-974.PubMedPubMed CentralGoogle Scholar
- Initiative AG: Analysis of the genome sequence of the flowering plant Arabidopsis thaliana. Nature. 2000, 408: 796-815. 10.1038/35048692.View ArticleGoogle Scholar
- The Public Arabidopsis MPSS database. [http://mpss.udel.edu]
- Brenner S, Williams SR, Vermaas EH, Storck T, Moon K, McCollum C, Mao JI, Luo S, Kirchner JJ, Eletr S, et al: In vitro cloning of complex mixtures of DNA on microbeads: physical separation of differentially expressed cDNAs. Proc Natl Acad Sci USA. 2000, 97: 1665-1670. 10.1073/pnas.97.4.1665.PubMedPubMed CentralView ArticleGoogle Scholar
- Brenner S, Johnson M, Bridgham J, Golda G, Lloyd DH, Johnson D, Luo S, McCurdy S, Foy M, Ewan M, et al: Gene expression analysis by massively parallel signature sequencing (MPSS) on microbead arrays. Nat Biotechnol. 2000, 18: 630-634. 10.1038/76469.PubMedView ArticleGoogle Scholar
- Wagner EG, Simons RW: Antisense RNA control in bacteria, phages, and plasmids. Annu Rev Microbiol. 1994, 48: 713-742. 10.1146/annurev.mi.48.100194.003433.PubMedView ArticleGoogle Scholar
- Grossniklaus U, Vielle-Calzada JP, Hoeppner MA, Gagliano WB: Maternal control of embryogenesis by MEDEA, a polycomb group gene in Arabidopsis. Science. 1998, 280: 446-450. 10.1126/science.280.5362.446.PubMedView ArticleGoogle Scholar
- Ohad N, Yadegari R, Margossian L, Hannon M, Michaeli D, Harada JJ, Goldberg RB, Fischer RL: Mutations in FIE, a WD polycomb group gene, allow endosperm development without fertilization. Plant Cell. 1999, 11: 407-416. 10.1105/tpc.11.3.407.PubMedPubMed CentralView ArticleGoogle Scholar
- Luo M, Bilodeau P, Koltunow A, Dennis ES, Peacock WJ, Chaudhury AM: Genes controlling fertilization-independent seed development in Arabidopsis thaliana. Proc Natl Acad Sci USA. 1999, 96: 296-301. 10.1073/pnas.96.1.296.PubMedPubMed CentralView ArticleGoogle Scholar
- Kohler C, Hennig L, Bouveret R, Gheyselinck J, Grossniklaus U, Gruissem W: Arabidopsis MSI1 is a component of the MEA/FIE Polycomb group complex and required for seed development. EMBO J. 2003, 22: 4804-4814. 10.1093/emboj/cdg444.PubMedPubMed CentralView ArticleGoogle Scholar
- Kinoshita T, Miura A, Choi Y, Kinoshita Y, Cao X, Jacobsen SE, Fischer RL, Kakutani T: One-way control of FWA imprinting in Arabidopsis endosperm by DNA methylation. Science. 2004, 303: 521-523. 10.1126/science.1089835.PubMedView ArticleGoogle Scholar
- Pontius JU, Wagner L, Schuler GD: UniGene: a unified view of the transcriptome. The NCBI Handbook. 2003, Bethesda, MD: National Center for Biotechnology Information, [http://0-www.ncbi.nlm.nih.gov.brum.beds.ac.uk/entrez/query.fcgi?db=books]Google Scholar
- Arabidopsis UniGene dataset. [ftp://ftp.ncbi.nih.gov/repository/UniGene]
- Seki M, Narusaka M, Kamiya A, Ishida J, Satou M, Sakurai T, Nakajima M, Enju A, Akiyama K, Oono Y, et al: Functional annotation of a full-length Arabidopsis cDNA collection. Science. 2002, 296: 141-145. 10.1126/science.1071006.PubMedView ArticleGoogle Scholar
- RIKEN Arabidopsis full-length cDNA dataset. [http://pfgweb.gsc.riken.go.jp/projects/raflcdna.html]
- The Arabidopsis thaliana genome sequences. [ftp://ftp.tigr.org/pub/data/a_thaliana/ath1/]
- Kent WJ: BLAT - the BLAST-like alignment tool. Genome Res. 2002, 12: 656-664. 10.1101/gr.229202. Article published online before March 2002.PubMedPubMed CentralView ArticleGoogle Scholar
- Burge C, Karlin S: Prediction of complete gene structures in human genomic DNA. J Mol Biol. 1997, 268: 78-94. 10.1006/jmbi.1997.0951.PubMedView ArticleGoogle Scholar
- Zhang J, Madden TL: PowerBLAST: a new network BLAST application for interactive or automated sequence analysis and annotation. Genome Res. 1997, 7: 649-656.PubMedPubMed CentralGoogle Scholar
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