Mus musculus
Ontology highlight
ABSTRACT:
OTHER RELATED OMICS DATASETS IN: E-GEOD-43721
PROVIDER: PRJNA187158 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR652199.fastq.gz | Fastqsanger.gz | |||
| SRR652200.fastq.gz | Fastqsanger.gz | |||
| SRR652201.fastq.gz | Fastqsanger.gz | |||
| SRR652202.fastq.gz | Fastqsanger.gz | |||
| SRR652203.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 15 |
Similar Datasets
Project description:Cellular source and mechanisms of high transcriptome complexity in the mammalian testis (RNA-Seq organs)
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Project description:Cellular source and mechanisms of high transcriptome complexity in the mammalian testis (RRBS and ChIP-Seq)
| PRJNA187159 | ENA
Project description:We collected whole genome testis expression data from hybrid zone mice. We integrated GWAS mapping of testis expression traits and low testis weight to gain insight into the genetic basis of hybrid male sterility.
2014-12-04 | GSE61417 | GEO
Project description:Single-nucleus RNA sequencing (snRNA-seq) was used to profile the transcriptome of 5,264 nuclei in mouse adult testis. This dataset includes two samples from two different individuals. This dataset is part of a larger evolutionary study of adult testis at the single-nucleus level (97,521 single-nuclei in total) across mammals including 10 representatives of the three main mammalian lineages: human, chimpanzee, bonobo, gorilla, gibbon, rhesus macaque, marmoset, mouse (placental mammals); grey short-tailed opossum (marsupials); and platypus (egg-laying monotremes). Corresponding data were generated for a bird (red junglefowl, the progenitor of domestic chicken), to be used as an evolutionary outgroup.
2021-11-08 | E-MTAB-11071 | biostudies-arrayexpress
Project description:We collected whole genome testis expression data from hybrid zone mice. We integrated GWAS mapping of testis expression traits and low testis weight to gain insight into the genetic basis of hybrid male sterility. Gene expression was measured in whole testis from males aged 62-86 days. Samples include 190 first generation lab-bred male offspring of wild-caught mice from the Mus musculus musculus - M. m. domesticus hybrid zone.
2014-12-04 | E-GEOD-61417 | biostudies-arrayexpress
Project description:Understanding the extent of genomic transcription and its functional relevance is a central goal in genomics research. However, detailed genome‐wide investigations of transcriptome complexities in major mammalian organs and their underlying cellular sources, transcriptional mechanisms, and functional relevance have been scarce. Here we first show, using extensive RNA‐seq data, that transcription of both functional and nonfunctional genomic elements is substantially more widespread in the testis than in other organs across representative mammals. By scrutinizing the transcriptomes of all main testicular cell types in the mouse, we then reveal that meiotic spermatocytes and especially post‐meiotic round spermatids have remarkably diverse transcriptomes, which explains the high transcriptome complexity of the testis as a whole. The widespread transcriptional activity in spermatocytes and spermatids encompasses protein‐coding genes and long noncoding RNA genes but also poorly conserved intergenic sequences, suggesting that much of it is not of immediate functional relevance. Rather, our analyses of genome‐wide epigenetic data show that this prevalent transcription, which apparently promoted the birth of new genes during evolution, results from a highly permissive chromatin state during and after meiosis that may ultimately facilitate the replacement of histones by protamines during late spermatogenesis. To study the cellular source and mechanisms of high transcriptome complexity in the mammalian testis, we generated strand-specific deep coverage RNA‐Seq data for purified sertoli cells, spermatogonia, spermatocytes, spermatids and spermatozoa as well as for brain, liver and the whole testis from the mouse. We prepared 8 sequencing libraries for the polyadenylated RNA fraction of each sample and sequenced each library in 3 lanes of the Illumina Genome Analyser IIx platform, yielding a total of >60 millions strand-specific reads of 76 base pairs per sample. In addition, we generated ChIP-Seq data for the H3K4me2 modification as well as RRBS data for brain, liver, testis, spermatocytes and spermatids. RNA-seq, ChIP-seq and RRBS data were generated from the same individual or pool of individuals, in the case of purified cells. RNA-Seq of brain, liver and the whole testis
2013-06-20 | E-GEOD-43721 | biostudies-arrayexpress
Project description:This experiment contains the subset of data corresponding to mouse RNA-Seq data from experiment E-GEOD-30352 (http://www.ebi.ac.uk/arrayexpress/experiments/E-GEOD-30352/), which goal is to understand the dynamics of mammalian transcriptome evolution. To study mammalian transcriptome evolution at high resolution, we generated RNA-Seq data (∼3.2 billion Illumina Genome Analyser IIx reads of 76 base pairs) for the polyadenylated RNA fraction of brain (cerebral cortex or whole brain without cerebellum), cerebellum, heart, kidney, liver and testis (usually from one male and one female per somatic tissue and two males for testis) from nine mammalian species: placental mammals (great apes, including humans; rhesus macaque; mouse), marsupials (gray short-tailed opossum) and monotremes (platypus). Corresponding data (∼0.3 billion reads) were generated for a bird (red jungle fowl, a non-domesticated chicken) and used as an evolutionary outgroup.
2011-10-12 | E-MTAB-3718 | biostudies-arrayexpress
Project description:Understanding the extent of genomic transcription and its functional relevance is a central goal in genomics research. However, detailed genomewide investigations of transcriptome complexities in major mammalian organs and their underlying cellular sources, transcriptional mechanisms, and functional relevance have been scarce. Here we first show, using extensive RNAseq data, that transcription of both functional and nonfunctional genomic elements is substantially more widespread in the testis than in other organs across representative mammals. By scrutinizing the transcriptomes of all main testicular cell types in the mouse, we then reveal that meiotic spermatocytes and especially postmeiotic round spermatids have remarkably diverse transcriptomes, which explains the high transcriptome complexity of the testis as a whole. The widespread transcriptional activity in spermatocytes and spermatids encompasses protein coding genes and long noncoding RNA genes but also poorly conserved intergenic sequences, suggesting that much of it is not of immediate functional relevance. Rather, our analyses of genomewide epigenetic data show that this prevalent transcription, which apparently promoted the birth of new genes during evolution, results from a highly permissive chromatin state during and after meiosis that may ultimately facilitate the replacement of histones by protamines during late spermatogenesis. To study the cellular source and mechanisms of high transcriptome complexity in the mammalian testis, we generated strand-specific deep coverage RNASeq data for purified sertoli cells, spermatogonia, spermatocytes, spermatids and spermatozoa as well as for brain, liver and the whole testis from the mouse. We prepared 8 sequencing libraries for the polyadenylated RNA fraction of each sample and sequenced each library in 3 lanes of the Illumina Genome Analyser IIx platform, yielding a total of >60 millions strand-specific reads of 76 base pairs per sample. In addition, we generated ChIP-Seq data for the H3K4me2 modification as well as RRBS data for brain, liver, testis, spermatocytes and spermatids. RNA-seq, ChIP-seq and RRBS data were generated from the same individual or pool of individuals, in the case of purified cells. RNASeq data for purified sertoli cells, spermatogonia, spermatocytes, spermatids and spermatozoa
2013-06-20 | E-GEOD-43717 | biostudies-arrayexpress
Project description:Understanding the extent of genomic transcription and its functional relevance is a central goal in genomics research. However, detailed genome‐wide investigations of transcriptome complexities in major mammalian organs and their underlying cellular sources, transcriptional mechanisms, and functional relevance have been scarce. Here we first show, using extensive RNA‐seq data, that transcription of both functional and nonfunctional genomic elements is substantially more widespread in the testis than in other organs across representative mammals. By scrutinizing the transcriptomes of all main testicular cell types in the mouse, we then reveal that meiotic spermatocytes and especially post‐meiotic round spermatids have remarkably diverse transcriptomes, which explains the high transcriptome complexity of the testis as a whole. The widespread transcriptional activity in spermatocytes and spermatids encompasses protein‐coding genes and long noncoding RNA genes but also poorly conserved intergenic sequences, suggesting that much of it is not of immediate functional relevance. Rather, our analyses of genome‐wide epigenetic data show that this prevalent transcription, which apparently promoted the birth of new genes during evolution, results from a highly permissive chromatin state during and after meiosis that may ultimately facilitate the replacement of histones by protamines during late spermatogenesis. To study the cellular source and mechanisms of high transcriptome complexity in the mammalian testis, we generated strand-specific deep coverage RNA‐Seq data for purified sertoli cells, spermatogonia, spermatocytes, spermatids and spermatozoa as well as for brain, liver and the whole testis from the mouse. We prepared 8 sequencing libraries for the polyadenylated RNA fraction of each sample and sequenced each library in 3 lanes of the Illumina Genome Analyser IIx platform, yielding a total of >60 millions strand-specific reads of 76 base pairs per sample. In addition, we generated ChIP-Seq data for the H3K4me2 modification as well as RRBS data for brain, liver, testis, spermatocytes and spermatids. RNA-seq, ChIP-seq and RRBS data were generated from the same individual or pool of individuals, in the case of purified cells. ChIP-Seq data for the H3K4me2 modification as well as RRBS data for brain, liver, testis, spermatocytes and spermatids
2013-06-20 | E-GEOD-43719 | biostudies-arrayexpress
Project description:Understanding the extent of genomic transcription and its functional relevance is a central goal in genomics research. However, detailed genome‐wide investigations of transcriptome complexities in major mammalian organs and their underlying cellular sources, transcriptional mechanisms, and functional relevance have been scarce. Here we first show, using extensive RNA‐seq data, that transcription of both functional and nonfunctional genomic elements is substantially more widespread in the testis than in other organs across representative mammals. By scrutinizing the transcriptomes of all main testicular cell types in the mouse, we then reveal that meiotic spermatocytes and especially post‐meiotic round spermatids have remarkably diverse transcriptomes, which explains the high transcriptome complexity of the testis as a whole. The widespread transcriptional activity in spermatocytes and spermatids encompasses protein‐coding genes and long noncoding RNA genes but also poorly conserved intergenic sequences, suggesting that much of it is not of immediate functional relevance. Rather, our analyses of genome‐wide epigenetic data show that this prevalent transcription, which apparently promoted the birth of new genes during evolution, results from a highly permissive chromatin state during and after meiosis that may ultimately facilitate the replacement of histones by protamines during late spermatogenesis. To study the cellular source and mechanisms of high transcriptome complexity in the mammalian testis, we generated strand-specific deep coverage RNA‐Seq data for purified sertoli cells, spermatogonia, spermatocytes, spermatids and spermatozoa as well as for brain, liver and the whole testis from the mouse. We prepared 8 sequencing libraries for the polyadenylated RNA fraction of each sample and sequenced each library in 3 lanes of the Illumina Genome Analyser IIx platform, yielding a total of >60 millions strand-specific reads of 76 base pairs per sample. In addition, we generated ChIP-Seq data for the H3K4me2 modification as well as RRBS data for brain, liver, testis, spermatocytes and spermatids. RNA-seq, ChIP-seq and RRBS data were generated from the same individual or pool of individuals, in the case of purified cells.
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