Genome-wide analysis of expression and DNA methylation at CpG-island-associated sense-antisense transcript loci in mouse
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ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE14392 | GEO | 2010/08/26
SECONDARY ACCESSION(S): PRJNA111365
REPOSITORIES: GEO
Similar Datasets
Project description:Sense-antisense transcript (SAT) pairs are pairs of transcripts that fully or partially overlap but are transcribed in opposite directions. Although SAT expression occurs in various species, most SAT pairs have not been examined in detail. Because our previous studies revealed some tissue specificity in SAT expression, SAT pairs might be involved in cell differentiation and the maintenance of tissue-specific gene expression programs. To analyze such tissue-specific SAT pairs, we assessed the expression profiles of SATs from 12 tissues of normal mice at a genome-wide scale and found that a considerable number of SAT pairs showed expression patterns unique to testis. This finding prompted us to study the relationship between SAT expression pattern and another epigenetic gene regulatory mechanism, DNA methylation. We conducted a comparative global analysis of the DNA methylation status of CpG island (CGI)-associated SAT loci from various tissues and found that in 99 of the 4911 SAT pairs studied, DNA methylation could cooperatively suppress its downstream “sense” transcription together with the “antisense” transcriptional activity in a tissue-specific manner. The tissue-specific differentially methylated regions (T-DMRs) of these SAT pairs mainly occurred outside of the defined CGIs. In addition, some of these T-DMRs are situated at the 5′ region of the antisense transcripts. This positioning implies a novel mechanism for DNA methylation to regulate gene transcription, in which DNA methylation inhibits an opposing transcriptional activity and therefore maintains stable expression of a tissue-specific gene. Twelve tissues (brain, thymus, heart, lung, liver, spleen, stomach, kidney, small intestine, testis, and placentae [10.5 and 13.5 days postcoitum (dpc)]) of C57BL/6J Jc1 and a mouse fibroblast cell line (SL10) were used for the mouse expression oligo-microarray. The expression array data were obtained by both oligo-dT and random priming methods, except for SL10 (olio-dT only). Twelve tissues (brain, thymus, heart, lung, liver, spleen, stomach, kidney, small intestine, testis, and placentae [10.5 and 13.5 days postcoitum (dpc)]) were used for DIP chip experiments. Nine of twelve tissues were separately analyzed classified on the basis of sex. A technical duplication of DIP chip analysis was performed by using the same genomic DNA of male kidney.
2010-08-26 | E-GEOD-14392 | biostudies-arrayexpress
Project description:<p>High throughput RNA Sequencing has revealed that the human genome is widely transcribed. However, the extent of natural antisense transcription, the molecular mechanisms by which natural antisense transcripts (NATs) might affect their cognate sense genes, and the role of NATs in cancer are less well understood. Here, we use strand-specific paired-end RNA sequencing (ssRNASeq) on a cohort of 376 cancer patients covering 9 tissue types to comprehensively characterize the landscape of antisense expression. Our results reveal that greater than 60% of annotated transcripts have measureable antisense expression and the expression of sense and antisense transcript pairs is in general positively correlated. Furthermore, by studying the expression of sense/antisense pairs across tissues we identify lineage-specific, ubiquitous and cancer-specific antisense loci. Our results raise the possibility that NATs participate in the regulation of well-known tumor suppressors and oncogenes. Finally, this study provides a catalogue of cancer related genes with significant antisense transcription (oncoNAT). This resource will allow researchers to investigate the molecular mechanisms of sense/antisense regulation and further advance our understanding of their role in cancer.</p>
| phs000937 | dbGaP
Project description:Increasing numbers of sense–antisense transcripts (SATs), which are transcribed from the same chromosomal location but in opposite directions, have been identified in various eukaryotic species, but the biological meanings of most SATs remain unclear. To improve understanding of natural sense–antisense transcription, we performed comparative expression profiling of SATs conserved among humans and mice. Using custom oligo-arrays loaded with probes that represented SATs with both protein-coding and non-protein–coding transcripts, we showed that 33% of the 291 conserved SATs displayed identical expression patterns in the two species. Among these SATs, expressional balance inversion of sense–antisense genes was mostly observed in testis at a tissue-specific manner. Northern analyses of the individual conserved SAT loci revealed that: (1) a smeary hybridization pattern was present in mice, but not in humans, and (2) small RNAs (about 60 to 80 nt) were detected from the exon-overlapping regions of SAT loci. In addition, further analyses showed marked alteration of sense–antisense expression balance throughout spermatogenesis in testis. These results suggest that conserved SAT loci are rich in potential regulatory roles that will help us understand this new class of transcripts underlying the mammalian genome. Keywords: Expression profile of mouse and human sense-antisense transcript
2008-02-20 | GSE9581 | GEO
Project description:Background: Recent studies have identified thousands of sense-antisense gene pairs across different genomes by computational mapping of cDNA sequences. These studies have shown that approximately 25% of all transcriptional units in the human and mouse genomes are involved in cis-sense-antisense pairs. However, the number of known sense-antisense pairs remains limited because currently available cDNA sequences represent only a fraction of the total number of transcripts comprising the transcriptome of each cell type. Results: To discover novel antisense transcripts encoded in the antisense strand of important genes, such as cancer-related genes, we conducted expression analyses of antisense transcripts using our custom microarray platform along with 2376 probes designed specifically to detect the potential antisense transcripts of 501 well-known genes suitable for cancer research. Using colon cancer tissue and normal tissue surrounding the cancer tissue obtained from 6 patients, we found that antisense transcripts without poly(A) tails are expressed from approximately 80% of these well-known genes. This observation is consistent with our previous finding that many antisense transcripts expressed in a cell are poly(A)-. We also identified 101 and 71 antisense probes displaying a high level of expression specifically in normal and cancer tissues respectively. Some of these probes showed characteristic expression patterns which are anti-correlated with the expression patterns of the sense genes. Conclusion: Our microarray analysis identified novel antisense transcripts with expression profiles specific to cancer tissue, some of which might play a role in the regulatory networks underlying oncogenesis and thus are potential targets for further experimental validation.
2011-03-01 | GSE14397 | GEO
Project description:Increasing numbers of senseâantisense transcripts (SATs), which are transcribed from the same chromosomal location but in opposite directions, have been identified in various eukaryotic species, but the biological meanings of most SATs remain unclear. To improve understanding of natural senseâantisense transcription, we performed comparative expression profiling of SATs conserved among humans and mice. Using custom oligo-arrays loaded with probes that represented SATs with both protein-coding and non-proteinâcoding transcripts, we showed that 33% of the 291 conserved SATs displayed identical expression patterns in the two species. Among these SATs, expressional balance inversion of senseâantisense genes was mostly observed in testis at a tissue-specific manner. Northern analyses of the individual conserved SAT loci revealed that: (1) a smeary hybridization pattern was present in mice, but not in humans, and (2) small RNAs (about 60 to 80 nt) were detected from the exon-overlapping regions of SAT loci. In addition, further analyses showed marked alteration of senseâantisense expression balance throughout spermatogenesis in testis. These results suggest that conserved SAT loci are rich in potential regulatory roles that will help us understand this new class of transcripts underlying the mammalian genome. Keywords: Expression profile of mouse and human sense-antisense transcript The RNA samples used for the mouse oligo-array experiments came from the brain, NIH3T3 cells (fibroblast cell line), liver, heart, and testis. RNA from mouse tissue (C57BL/6J, 8 to 10 weeks, male and female mixed) and mouse fibroblast line NIH3T3 was isolated by using Trizol reagent (Invitrogen). The mouse custom oligo DNA microarray chip (microarray format: 11K) contained 3896 probes that represented genes in 1948 exon-overlapping SAT (sense-antisense transcript) pairs.The same total RNA samples were reciprocally labeled with Cy3 or Cy5, hybridized to the oligo DNA on the chip, and dye-normalized. The data on all genes on the chip were used to enable the Feature Extraction software to produce the processed signals. The total mean signal on the mouse chip in each hybridization experiment was adjusted with to a value of 4872.3. The RNA samples used for human microarray experiments came from brain, HF19 cells (fibroblast cell line), heart, liver and testis. The total brain, heart, and testis RNA used in the array experiments was purchased from Ambion. Total RNA was isolated from the fibroblast cells by using Trizol reagent (Invitrogen). The same total RNA samples were labeled with single color Cy3, hybridized to the oligo DNA on the chip, and dye-normalized; the processed signals were obtained by using Feature Extraction software (Agilent Technologies). The custom oligo DNA microarray chip (microarray format: 11K) contained 2793 probes for 1486 pairs of exon-overlapping SATs. The data on all genes on the chip were used to enable the Feature Extraction software to produce the processed signals. For further analysis, the Cy3-labeled processed signal was used as the processed signal from the expression of a particular gene. The total mean signal on the human chip in each hybridization experiment was adjusted to 1491.6, so that the relative differences in gene expression could be compared among cell lines and tissues.
2010-06-25 | E-GEOD-9581 | biostudies-arrayexpress
Project description:We characterized the expression patterns of sense-antisense transcripts, based on available cDNA sequences, in colon (colorectal) cancer tissues and in normal tissues surrounding the cancer tissues. Although expression balances (ratios) of most of sense and antisense transcript pairs did not change between patients or between normal and cancer tissues, we found 68 sense-antisense transcripts whose expression balances were altered specifically in colon cancer tissues. We conducted DNA microarray analyses by using the same set of probes designed for 2621 sense-antisense pairs to detect transcripts expressed in colon cancer tissues. These probes comprise 2358 pairs for the detection of protein-coding transcripts only, 250 pairs for the detection of protein-coding transcripts paired with non-protein-coding transcripts, and 13 pairs for the detection of non-protein-coding transcripts only.
2011-03-01 | E-GEOD-14398 | biostudies-arrayexpress
Project description:Background: Recent studies have identified thousands of sense-antisense gene pairs across different genomes by computational mapping of cDNA sequences. These studies have shown that approximately 25% of all transcriptional units in the human and mouse genomes are involved in cis-sense-antisense pairs. However, the number of known sense-antisense pairs remains limited because currently available cDNA sequences represent only a fraction of the total number of transcripts comprising the transcriptome of each cell type. Results: To discover novel antisense transcripts encoded in the antisense strand of important genes, such as cancer-related genes, we conducted expression analyses of antisense transcripts using our custom microarray platform along with 2376 probes designed specifically to detect the potential antisense transcripts of 501 well-known genes suitable for cancer research. Using colon cancer tissue and normal tissue surrounding the cancer tissue obtained from 6 patients, we found that antisense transcripts without poly(A) tails are expressed from approximately 80% of these well-known genes. This observation is consistent with our previous finding that many antisense transcripts expressed in a cell are poly(A)-. We also identified 101 and 71 antisense probes displaying a high level of expression specifically in normal and cancer tissues respectively. Some of these probes showed characteristic expression patterns which are anti-correlated with the expression patterns of the sense genes. Conclusion: Our microarray analysis identified novel antisense transcripts with expression profiles specific to cancer tissue, some of which might play a role in the regulatory networks underlying oncogenesis and thus are potential targets for further experimental validation. 501 probes targeting well-known genes suitable for cancer researches were designed. Additionally 2,376 probes targeting putative transcription units on the antisense strand of these genes were designed. Samples were obtained from colon cancer tissues and normal tissues surrounding cancer tissues of six patients.
2011-03-01 | E-GEOD-14397 | biostudies-arrayexpress
Project description:Objective: Abdominal adiposity is strongly associated with diabetic and cardiovascular comorbidities. The long non-coding RNA HOTAIR (HOX Transcript Antisense Intergenic RNA) is an important epigenetic regulator, with fat depot-specific expression between abdominal subcutaneous adipose tissue (SAT) and gluteal SAT. HOTAIR locates closely with HOXC13, known to strongly associated with human fat distribution. Here, we examined the phenotypic effects of HOTAIR overexpression on abdominal adipogenesis, and hypothesized that HOTAIR-mediated DNA methylation is correlated with transcriptome changes, leading to the regulation of specific genes and the functional pathways. Methods: The expression level of HOTAIR was compared among different fat-depots collected from six healthy, five severe obese, and five uremic subjects, and was correlated with dual-energy x-ray absorptiometry (DXA) defined regional adiposity. The human immortalized preadipocyte was used to assess the phenotypic effects of HOTAIR overexpression on abdominal adipogenesis. The integrative analysis of reduced representation bisulfite sequencing (RRBS) and RNA-sequencing was performed to identify putative genes that are epigenetically regulated by HOTAIR, and the associated signaling pathways. HOTAIR-repressed genes were further validated using RNA/chromatin immunoprecipitation with real-time qPCR and correlated with human body fat distribution. Results: We found that the expression of HOTAIR was high in gluteal SAT, and low in arm/abdominal SAT and visceral (omental) adipose tissue. It could be aberrantly increased in uremic arm SAT. Notably, in severe obese subjects we found that HOTAIR is lowly expressed in abdominal SAT correlating with a higher abdominal adiposity, whereas in uremic patients HOTAIR is highly expressed in arm SAT correlating with lower arm adiposity. HOTAIR overexpression in human immortalized abdominal preadipocyte remarkably suppresses the in vitro adipogenesis. Overall the differentially methylated genes were functionally enriched for nervous system development. We specifically identified 10 HOTAIR-mediated genes showing strong changes of DNA methylation associated with gene expression during abdominal adipogenesis, suggesting potential epigenetic regulation. Two HOTAIR-repressed genes, SLITRK4 and PITPNC1, were further highlighted and validated; presenting an obesity-driven fat-depot specific expression pattern positively correlated with the central body fat distribution. Conclusions: Our study indicated that HOTAIR is an important regulator for abdominal adipogenesis via intricate DNA methylation likely to associate with transcriptional regulation of specific genes, such as SLITRK4 and PITPNC1.
2022-04-20 | GSE186159 | GEO
Project description:We systematically identified long noncoding natural antisense transcripts (lncNATs), defined as lncRNAs transcribed from the opposite DNA strand of coding or noncoding genes. We identified in total 37,238 sense-antisense transcript pairs and found 70% mRNAs are associated with antisense transcripts in Arabidopsis. To detect the expression levels of these NAT pairs, we designed an Agilent custom array, ATH NAT array, and analyzed RNA samples from Arabidopsis inflorescences, leaves and roots, with 3 biological replicates each.
2013-12-23 | GSE49381 | GEO
Project description:We characterized the expression patterns of sense-antisense transcripts, based on available cDNA sequences, in colon (colorectal) cancer tissues and in normal tissues surrounding the cancer tissues. Although expression balances (ratios) of most of sense and antisense transcript pairs did not change between patients or between normal and cancer tissues, we found 68 sense-antisense transcripts whose expression balances were altered specifically in colon cancer tissues.
2011-03-01 | GSE14398 | GEO