Characterization of Drosophila mitochondrial transcripts through high throughput EST data
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ABSTRACT:
PROVIDER: PRJNA116239 | ENA |
REPOSITORIES: ENA
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Project description:We used high throughput EST sequences to characterize and generate expression profiles for all transcripts encoded in the mitochondrial genome of D. melanogaster and D. pseudoobscura. Mapping of ESTs confirmed previously predicted transcripts and revealed non-canonical transcript structures. Expression of mitochondrial transcripts was not different between the two species, but it was significantly different for males and females. We also detected difference in expression levels among mRNAs from genes located in the same transcriptional unit and among genes interacting in the same protein complexes, NADH dehydrogenase and cytochrome c oxidase complexes, suggesting a complex post-transcriptional regulation to maintain mitochondrial function. Keywords: Transcriptome Analysis Four samples analysed: D. melanogaster males, D. melanogaster females, D. pseuoobscura males, D. pseudoobscura females The number of reads that mapped to each transcript is proportional to the transcript abundance, so it can be used as a measure of the absolute level of expression of that transcript. The gene expression measure as the absolute EST counts and the expression relative to the library size for each mitochondrial gene in each library is displayed in the supplementary file linked below.
2009-12-09 | E-GEOD-16651 | biostudies-arrayexpress
Project description:We used high throughput EST sequences to characterize and generate expression profiles for all transcripts encoded in the mitochondrial genome of D. melanogaster and D. pseudoobscura. Mapping of ESTs confirmed previously predicted transcripts and revealed non-canonical transcript structures. Expression of mitochondrial transcripts was not different between the two species, but it was significantly different for males and females. We also detected difference in expression levels among mRNAs from genes located in the same transcriptional unit and among genes interacting in the same protein complexes, NADH dehydrogenase and cytochrome c oxidase complexes, suggesting a complex post-transcriptional regulation to maintain mitochondrial function. Keywords: Transcriptome Analysis
2009-12-09 | GSE16651 | GEO
Project description:Reconstructing lineage relationships in complex tissues can reveal mechanisms underlying development and disease. Recent methods combine single-cell transcriptomics with mitochondrial DNA variant detection to establish lineage relationships in primary human cells, but are not scalable to interrogate complex tissues. To overcome this limitation, here we develop a technology for high-confidence detection of mitochondrial mutations from high-throughput single-cell RNA-sequencing. We use the new method to identify skewed immune cell expansions in primary human clonal hematopoiesis.
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Project description:The human mitochondrial genome comprises a distinct genetic system transcribed as precursor polycistronic transcripts that are subsequently cleaved to generate individual mRNAs, tRNAs and rRNAs. Here we provide a comprehensive analysis of the human mitochondrial transcriptome across multiple cell lines and tissues. Using directional deep sequencing and parallel analysis of RNA ends, we demonstrate wide variation in mitochondrial transcript abundance, and precisely resolve transcript processing and maturation events. We identify novel transcripts, including small RNAs, and observe the enrichment of several nuclear RNAs in mitochondria. Using high-throughput in vivo DNaseI footprinting, we establish the global profile of DNA-binding protein occupancy across the mitochondrial genome at single nucleotide resolution, revealing novel regulatory features at mitochondrial transcription initiation sites and functional insights into disease-associated variants. Together, this integrated analysis of the mitochondrial transcriptome reveals unexpected complexity in the regulation, expression, and processing of mitochondrial RNA, and itM-CM-^BM-BM- provides a resource for the future study of mitochondrial function (accessed at mitochondria.matticklab.com). Examination of the mitochondiral transcriptome by long and small RNA sequencing, PARE sequencing and DNAseI hypersensitivity mapping.
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Project description:Simple sequence repeats (SSRs) or microsatellite markers derived from expressed sequence tags (ESTs) are routinely used for molecular assisted-selection breeding, comparative genomic analysis, and genetic diversity studies. In this study, we investigated 54,546 ESTs for the identification and development of SSR markers in Pogostemon cablin (Patchouli). In total, 1219 SSRs were identified from 1144 SSR-containing ESTs. Trinucleotides (80.8%) were the most abundant SSRs, followed by di- (10.8%), mono- (7.1%), and hexa-nucleotides (1.3%). The top six motifs were CCG/CGG (15.3%), AAG/CTT (15.0%), ACC/GGT (13.5%), AGG/CCT (12.4%), ATC/ATG (9.9%), and AG/CT (9.8%). On the basis of these SSR-containing ESTs, a total of 192 primer pairs were randomly designed and used for polymorphism analysis in 38 accessions collected from different geographical regions of Guangdong, China. Of the SSR markers, 45 were polymorphic and had allele variations from two to four. Furthermore, a transferability analysis of these primer pairs revealed a 10?40% cross-species transferability in 10 related species. This report is the first comprehensive study on the development and analysis of a large set of SSR markers in P. cablin. These markers have the potential to be used in quantitative trait loci mapping, genetic diversity studies, and the fingerprinting of cultivars of P. cablin.
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Project description:The human mitochondrial genome comprises a distinct genetic system transcribed as precursor polycistronic transcripts that are subsequently cleaved to generate individual mRNAs, tRNAs and rRNAs. Here we provide a comprehensive analysis of the human mitochondrial transcriptome across multiple cell lines and tissues. Using directional deep sequencing and parallel analysis of RNA ends, we demonstrate wide variation in mitochondrial transcript abundance, and precisely resolve transcript processing and maturation events. We identify novel transcripts, including small RNAs, and observe the enrichment of several nuclear RNAs in mitochondria. Using high-throughput in vivo DNaseI footprinting, we establish the global profile of DNA-binding protein occupancy across the mitochondrial genome at single nucleotide resolution, revealing novel regulatory features at mitochondrial transcription initiation sites and functional insights into disease-associated variants. Together, this integrated analysis of the mitochondrial transcriptome reveals unexpected complexity in the regulation, expression, and processing of mitochondrial RNA, and it provides a resource for the future study of mitochondrial function (accessed at mitochondria.matticklab.com).
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