| 11. |
- Sun, Song, et al.
(författare)
-
Genome-Wide Detection of Spontaneous Chromosomal Rearrangements in Bacteria
- 2012
-
Ingår i: PLOS ONE. - : Public Library of Science (PLoS). - 1932-6203. ; 7:8, s. e42639-
-
Tidskriftsartikel (refereegranskat)abstract
- Genome rearrangements have important effects on bacterial phenotypes and influence the evolution of bacterial genomes. Conventional strategies for characterizing rearrangements in bacterial genomes rely on comparisons of sequenced genomes from related species. However, the spectra of spontaneous rearrangements in supposedly homogenous and clonal bacterial populations are still poorly characterized. Here we used 454 pyrosequencing technology and a 'split mapping' computational method to identify unique junction sequences caused by spontaneous genome rearrangements in chemostat cultures of Salmonella enterica Var. Typhimurium LT2. We confirmed 22 unique junction sequences with a junction microhomology more than 10 bp and this led to an estimation of 51 true junction sequences, of which 28, 12 and 11 were likely to be formed by deletion, duplication and inversion events, respectively. All experimentally confirmed rearrangements had short inverted (inversions) or direct (deletions and duplications) homologous repeat sequences at the endpoints. This study demonstrates the feasibility of genome wide characterization of spontaneous genome rearrangements in bacteria and the very high steady-state frequency (20-40%) of rearrangements in bacterial populations.
|
|
| 12. |
- Sun, Song, 1982-, et al.
(författare)
-
High frequencies of genome rearrangements in bacterial chromosomes
-
Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- Genome rearrangements have important effects on bacterial phenotypes and influence the evolution of bacterial genomes. Conventional strategies for characterizing rearrangements in bacterial genomes rely on comparisons of sequenced genomes from related species. However, the spectra of spontaneous rearrangements in supposedly homogenous and clonal bacterial populations are still poorly characterized. Here we used 454 pyrosequencing technology and a ‘split mapping’ computational method to identify unique junction sequences caused by spontaneous genome rearrangements in chemostat cultures of Salmonella enterica Var. Typhimurium LT2. We were able to confirm 22 unique junction sequences with a junction homology more than 10bp and this led to an estimation of 51 true junction sequences, of which 28, 12 and 11 were likely to be formed by deletion, duplication and inversion events, respectively. All experimentally confirmed rearrangements had short inverted (inversions) or direct (deletions and duplications) homologous repeat sequences at the endpoints. This study demonstrates the feasibility of genome wide characterization of spontaneous genome rearrangements in bacteria and the high steady-state frequency of rearrangements in bacterial populations.
|
|
| 13. |
|
|
| 14. |
- Zardán Gómez de la Torre, Teresa, et al.
(författare)
-
Sensitive Detection of Spores Using Volume-Amplified Magnetic Nanobeads
- 2012
-
Ingår i: Small. - : Wiley. - 1613-6810. ; 8:14, s. 2174-2177
-
Tidskriftsartikel (refereegranskat)abstract
- A magnetic-nanobead-based, substrate-free method for the sensitive detection of spores in an immunoassay format is presented. The method is shown to detect Bacillus globigii spores, the non-pathogenic simulant of Bacillus anthracis, with a limit-of-detection of 50 spores with a reaction time of 135 min. The study shows the versatility of magnetic nanobeads for detection of biological molecules other than DNA.
|
|
| 15. |
- Zhao, Yansong, et al.
(författare)
-
Single Cell RNA Expression Analysis Using Flow Cytometry Based on Specific Probe Ligation and Rolling Circle Amplification
- 2020
-
Ingår i: ACS Sensors. - : American Chemical Society (ACS). - 2379-3694. ; 5:10, s. 3031-3036
-
Tidskriftsartikel (refereegranskat)abstract
- Conventional flow cytometry has been widely used for high-throughput single-cell gene expression analysis using specific antibody staining. However, this is limited by the availability of high-quality antibodies. We developed a novel flow cytometry RNA detection technique termed RCA-Flow for single-cell RNA expression analysis. We showed that it is able to analyze not only mRNAs but also microRNAs and circular RNAs that are otherwise difficult to analyze by other flow cytometry techniques. The versatility for high-throughput analysis of different types of RNA molecules makes our method possess great potential for both biomedical and clinical applications.
|
|
