Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcription profiling of mouse brain and kidney Sense-antisense transcript comparison

ABSTRACT: 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. Experiment Overall Design: The first Affymetrix U74 mouse gene chips contains reversely oriented probe sets. These probes will hybridize to natural antisense transcripts that overlap with the sense transcript in the cognate area. Affymetrix provided a mask to identify the reverse probes. Positive calls with these reverse probes will give an estimate of the antisense transcriptome in that particular tissue. Comparison of the reversely oriented probes with correctly annotated probes will reveal the expression ratio of sense and antisense transcripts.

ORGANISM(S): Mus musculus

SUBMITTER: Andreas Werner

PROVIDER: E-GEOD-6106 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Expression profiling of antisense transcripts on DNA arrays.

Werner Andreas A Schmutzler Gabriele G Carlile Mark M Miles Colin G CG Peters Heiko H

Physiological genomics 20061114 3

The majority of mouse genes are estimated to undergo bidirectional transcription; however, their tissue-specific distribution patterns and physiological significance are largely unknown. This is in part due to the lack of methodology to routinely assess the expression of natural antisense transcripts (NATs) on a large scale. Here we tested whether commercial DNA arrays can be used to monitor antisense transcription in mouse kidney and brain. We took advantage of the reversely annotated oligonucl ...[more]

PMID: 17105753

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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.

Dataset Information

Transcription profiling of mouse brain and kidney Sense-antisense transcript comparison

Publications

Expression profiling of antisense transcripts on DNA arrays.

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