Search bioRxivSearch

Biology subjects

Perez-Gonzalez, A.

Publications and source records attributed to Perez-Gonzalez, A..

2 recordsLinked to original sources

Comparative analysis of the effect of genomic isolators flanking transgenes to avoid positional effects in Arabidopsis

HighlightWe have studied the effect of different insulator sequences over transgene expression levels and variability, and over transgene integration, using NGS. Our results compare the benefits obtained by their use.\n\nAbstractFor more than 20 years, plant biologists have tried to achieve complete control of transgene expression, but until gene targeting techniques become routine, flanking transgenes with genetic insulators can help avoid positional effects. Insulators are DNA sequences with barrier activity that protect transgenes from interferences with the host genome. We have, for the first time, compared the effect of three insulator sequences previously described in the literature and of a matrix attachment region from Arabidopsis never tested before. Our results indicate that the use of all sequences increases transgene expression, but only the last one reduces variability between lines and between individuals to a minimum. We have analyzed the integration of insulator-flanked T-DNAs using whole genome re-sequencing (to our knowledge, also the first time) and found chiMAR lines with insertions located within heterochromatic regions of the genome, characterized by DNA methylation that did not spread into the T-DNA, suggesting that chiMAR can shelter transgene insertions from neighboring repressive epigenetic states. Finally, we could also observe a loss of accuracy of the RB insertion in the lines harboring insulators, evidenced by a high frequency of truncation of T-DNAs and of insertion of vector backbone that, however, did not affect transgene expression.

synthetic biology

The whole-genome panorama of cancer drivers

The advance of personalized cancer medicine requires the accurate identification of the mutations driving each patients tumor. However, to date, we have only been able to obtain partial insights into the contribution of genomic events to tumor development. Here, we design a comprehensive approach to identify the driver mutations in each patients tumor and obtain a whole-genome panorama of driver events across more than 2,500 tumors from 37 types of cancer. This panorama includes coding and non-coding point mutations, copy number alterations and other genomic rearrangements of somatic origin, and potentially predisposing germline variants. We demonstrate that genomic events are at the root of virtually all tumors, with each carrying on average 4.6 driver events. Most individual tumors harbor a unique combination of drivers, and we uncover the most frequent co-occurring driver events. Half of all cancer genes are affected by several types of driver mutations. In summary, the panorama described here provides answers to fundamental questions in cancer genomics and bridges the gap between cancer genomics and personalized cancer medicine.

cancer biology