Matteo Lambrughi

Summary

I'm currently a PostDoctoral researcher at the Computational Biology Laboratory at the Danish Cancer Society Research Center, Copenaghen, Denmark.

Biochemistry Bioengineering Bioinformatics Bioinorganic Chemistry Biomolecules Bioorganic Chemistry Biophysical Chemistry Biophysics Biotechnology Cell Biology Computational Biology Data Science Mathematical Biology Molecular Biology NMR Spectroscopy Omics Technologies Oncology Organometallic Chemistry Scientific Computing & Simulation

Past or current institution affiliations

Fred Hutchinson Cancer Research Center

Work details

PostDoctoral Researcher

Fred Hutchinson Cancer Research Center

January 2019

Computational Biology Laboratory

My main research interests at the Computational Biology Laboratory focus on using an integration of methods based on bioinformatics and computational chemistry with experimental biophysical approaches to understand the molecular mechanisms of key elements in cellular pathways and their alterations in cancer. In particular, I am focusing on the study of lipid signatures in cancer at the organelle-level and their interplay with membrane proteins involved in the autophagy pathway, as well as the mutational landscape of transcription factors, such as p53. I am also establishing a research line in the context of understanding the molecular mechanisms with which cadmium toxicity impacts on cancer, targeting these transcription factors. I aim to decode at the molecular level the alterations in cellular pathways associated with cancer and understand how to target them and restore normal conditions.

Websites

Google Scholar

PeerJ Contributions

Edited 9

Academic Editor on

December 16, 2021

Ploidy level enhances the photosynthetic capacity of a tetraploid variety of Acer buergerianum Miq.

Yi Wang, Bingyu Jia, Hongjian Ren, Zhen Feng

https://doi.org/10.7717/peerj.12620 PubMed 35003928

February 16, 2021

Determining novel candidate anti-hepatocellular carcinoma drugs using interaction networks and molecular docking between drug targets and natural compounds of SiNiSan

Qin Zhang, Zhangying Feng, Mengxi Gao, Liru Guo

https://doi.org/10.7717/peerj.10745 PubMed 33628636

January 27, 2021

Exploring a model-based analysis of patient derived xenograft studies in oncology drug development

Jake Dickinson, Marcel de Matas, Paul A. Dickinson, Hitesh B. Mistry

https://doi.org/10.7717/peerj.10681 PubMed 33569251

September 24, 2020

Saururus chinensis-controlled allergic pulmonary disease through NF-κB/COX-2 and PGE₂ pathways

MiKyung Song, Soon-Young Lee, Minhee Kim, Sangwoug Park, Juyeon Park, Yongbum Kwon, Dae-Hun Park

https://doi.org/10.7717/peerj.10043 PubMed 33024647

July 28, 2020

Comparison of long-term changes in size and longevity of bee colonies in mid-west Japan and Maui with and without exposure to pesticide, cold winters, and mites

Toshiro Yamada, Kazuko Yamada

https://doi.org/10.7717/peerj.9505 PubMed 33194324

July 15, 2020

Canine SOD1 harboring E40K or T18S mutations promotes protein aggregation without reducing the global structural stability

Shintaro Kimura, Yuji O. Kamatari, Yukina Kuwahara, Hideaki Hara, Osamu Yamato, Sadatoshi Maeda, Hiroaki Kamishina, Ryo Honda

https://doi.org/10.7717/peerj.9512 PubMed 32742795

February 24, 2020

Progress of research into circular RNAs in urinary neoplasms

Bangbei Wan, Bo Liu, Cai Lv

https://doi.org/10.7717/peerj.8666 PubMed 32140311

January 20, 2020

Toward a clinical real time tissue ablation technology: combining electroporation and electrolysis (E2)

Enric Guenther, Nina Klein, Paul Mikus, Florin Botea, Mihail Pautov, Franco Lugnani, Matteo Macchioro, Irinel Popescu, Michael K. Stehling, Boris Rubinsky

https://doi.org/10.7717/peerj.7985 PubMed 31998549

October 4, 2019

The impact of artificial intelligence in medicine on the future role of the physician

Abhimanyu S. Ahuja

https://doi.org/10.7717/peerj.7702 PubMed 31592346