scholarly journals Flavin Adenine Dinucleotide (FAD) Pegylated (PEG)-Complexes: Proof of Concept (PoC) of theranostic tool on a Murine Breast Cancer Model

2022 ◽  
Vol 6 (2) ◽  
pp. 175-183
Author(s):  
Celia Arib ◽  
Hui Liu ◽  
Qiqian Liu ◽  
Anne-Marie Cieutat ◽  
Didier Paleni ◽  
...  
2013 ◽  
Vol 229 (5) ◽  
pp. 705-718 ◽  
Author(s):  
Ana Sofia Ribeiro ◽  
Bárbara Sousa ◽  
Laura Carreto ◽  
Nuno Mendes ◽  
Ana Rita Nobre ◽  
...  

2015 ◽  
Vol 122 (03) ◽  
Author(s):  
FJ Möller ◽  
K Wende ◽  
O Zierau ◽  
MC Bosland ◽  
MH Muders ◽  
...  

2021 ◽  
pp. 2100008
Author(s):  
Hamilton Kakwere ◽  
Hua Zhang ◽  
Elizabeth S. Ingham ◽  
Marina Nura‐Raie ◽  
Spencer K. Tumbale ◽  
...  

2021 ◽  
Vol 38 (1) ◽  
pp. 1099-1110
Author(s):  
Leonardo Bianchi ◽  
Rachael Mooney ◽  
Yvonne R. Cornejo ◽  
Emiliano Schena ◽  
Jacob M. Berlin ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jiayue-Clara Jiang ◽  
Joseph A. Rothnagel ◽  
Kyle R. Upton

AbstractWhile transposons are generally silenced in somatic tissues, many transposons escape epigenetic repression in epithelial cancers, become transcriptionally active and contribute to the regulation of human gene expression. We have developed a bioinformatic pipeline for the integrated analysis of transcription factor binding and transcriptomic data to identify transposon-derived promoters that are activated in specific diseases and developmental states. We applied this pipeline to a breast cancer model, and found that the L1PA2 transposon subfamily contributes abundant regulatory sequences to co-ordinated transcriptional regulation in breast cancer. Transcription factor profiling demonstrates that over 27% of L1PA2 transposons harbour co-localised binding sites of functionally interacting, cancer-associated transcription factors in MCF7 cells, a cell line used to model breast cancer. Transcriptomic analysis reveals that L1PA2 transposons also contribute transcription start sites to up-regulated transcripts in MCF7 cells, including some transcripts with established oncogenic properties. In addition, we verified the utility of our pipeline on other transposon subfamilies, as well as on leukemia and lung carcinoma cell lines. We demonstrate that the normally quiescent regulatory activities of transposons can be activated and alter the cancer transcriptome. In particular, the L1PA2 subfamily contributes abundant regulatory sequences, and likely plays a global role in modulating breast cancer transcriptional regulation. Understanding the regulatory impact of L1PA2 on breast cancer genomes provides additional insights into cancer genome regulation, and may provide novel biomarkers for disease diagnosis, prognosis and therapy.


Oncogene ◽  
2015 ◽  
Vol 35 (25) ◽  
pp. 3314-3323 ◽  
Author(s):  
J Du ◽  
M Yang ◽  
S Chen ◽  
D Li ◽  
Z Chang ◽  
...  

2015 ◽  
Vol 75 (2) ◽  
Author(s):  
Ho Wei Yong ◽  
Abdullah Bade ◽  
Rajesh Kumar Muniandy

Over the past thirty years, a number of researchers have investigated on 3D organ reconstruction from medical images and there are a few 3D reconstruction software available on the market. However, not many researcheshave focused on3D reconstruction of breast cancer’s tumours. Due to the method complexity, most 3D breast cancer’s tumours reconstruction were done based on MRI slices dataeven though mammogram is the current clinical practice for breast cancer screening. Therefore, this research will investigate the process of creating a method that will be able to reconstruct 3D breast cancer’s tumours from mammograms effectively.  Several steps were proposed for this research which includes data acquisition, volume reconstruction, andvolume rendering. The expected output from this research is the 3D breast cancer’s tumours model that is generated from correctly registered mammograms. The main purpose of this research is to come up with a 3D reconstruction method that can produce good breast cancer model from mammograms while using minimal computational cost.


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