Title |
The Human Mitochondrial Transcriptome
|
---|---|
Published in |
Cell, August 2011
|
DOI | 10.1016/j.cell.2011.06.051 |
Pubmed ID | |
Authors |
Tim R. Mercer, Shane Neph, Marcel E. Dinger, Joanna Crawford, Martin A. Smith, Anne-Marie J. Shearwood, Eric Haugen, Cameron P. Bracken, Oliver Rackham, John A. Stamatoyannopoulos, Aleksandra Filipovska, John S. Mattick |
Abstract |
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 previously undescribed 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 regulatory features at mitochondrial transcription initiation sites and functional insights into disease-associated variants. This integrated analysis of the mitochondrial transcriptome reveals unexpected complexity in the regulation, expression, and processing of mitochondrial RNA and provides a resource for future studies of mitochondrial function (accessed at http://mitochondria.matticklab.com). |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 38% |
United Kingdom | 1 | 8% |
Japan | 1 | 8% |
Unknown | 6 | 46% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 6 | 46% |
Members of the public | 5 | 38% |
Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Unknown | 1 | 8% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 13 | 1% |
United Kingdom | 8 | <1% |
France | 5 | <1% |
Germany | 4 | <1% |
Netherlands | 2 | <1% |
Korea, Republic of | 2 | <1% |
India | 2 | <1% |
Japan | 2 | <1% |
Australia | 2 | <1% |
Other | 17 | 2% |
Unknown | 917 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 241 | 25% |
Researcher | 233 | 24% |
Student > Master | 91 | 9% |
Student > Bachelor | 73 | 7% |
Professor > Associate Professor | 49 | 5% |
Other | 172 | 18% |
Unknown | 115 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 397 | 41% |
Biochemistry, Genetics and Molecular Biology | 277 | 28% |
Medicine and Dentistry | 43 | 4% |
Neuroscience | 29 | 3% |
Computer Science | 13 | 1% |
Other | 69 | 7% |
Unknown | 146 | 15% |