Ontology highlight
ABSTRACT:
PROVIDER: PRJNA111575 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Novel endogenous antisense transcripts (data for the mouse mammary tumors)
| PRJNA114397 | ENA
Project description:Novel endogenous antisense transcripts (data for the mouse normal tissues)
| PRJNA114473 | ENA
Project description:This SuperSeries is composed of the following subset Series: GSE14372: Novel endogenous antisense transcripts (data for the mouse normal tissues) GSE14557: Novel endogenous antisense transcripts (data for the mouse mammary tumors) Refer to individual Series Unpublished data has been masked in the supplementary feature extraction files.
2009-08-24 | E-GEOD-14568 | biostudies-arrayexpress
Project description:Antisense Transcripts in Mutant Strains
| PRJNA163863 | ENA
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: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:We demonstrate that Myodonta-clade-specific 4.5S RNAH (4.5SH), an abundant nuclear noncoding RNA that is highly homologous to the retrotransposon SINE B1, controls the expression of multiple genes containing the antisense insertion of SINE B1 The depletion of endogenous 4.5SH with antisense oligonucleotides changes the subcellular distribution of these target transcripts containing the antisense SINE B1 insertions.
2015-09-30 | GSE57264 | GEO
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:Comparison of sense (forward probes) and antisense (reverse probes on U74 v1 gene arrays) transcripts in mouse kidney and brain. Positive calls related to antisense transcripts were compared to the cognate signals on the 430 version of mouse genome arrays to obtain genes that co expressed sense and antisense transcripts. This had to be done manually because divergent probe IDs on the two chip generations. Keywords: Qualitative comparison of expression
2006-11-07 | GSE6106 | GEO
Project description:Histone H3K36 can be added up to three methyl groups to form mono-, di-, and tri-methylation states. Recent study has shown that Set2 can suppress a specific group of antisense transcripts, which largely depends on the presence of H3K36 methylation. However, whether different methylation states possess distinct regulatory mechanisms on antisense transcripts is still unclear. In this study, we identified two yeast mutants that lack H3K36 di-methylation and tri-methylation, respectively. We also identified novel antisense transcripts in the absence of Set2 with own bioinformatics pipeline. Our study showed that the expression of these antisense transcripts does not affect the expression of corresponding sense genes. Different H3K36 methylation states (me2/me3) are not specific for the regulation of antisense expression, implying a co-regulation mechanism between them. Altogether, our study developed a method to identify new antisense transcripts, examined the potential effect of H3K36 di-methylation and tri-methylation on production of antisense transcripts. This study would shed light on the mechanism underlying how H3K36 methylation functions in the production of antisense transcripts.
2021-06-19 | GSE167338 | GEO