the mutational landscape of the oncogenic mzf1 scan domain in cancer

Clicks: 388
ID: 221705
2016
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #9 of 33 articles by views in biopsychosocial medicine

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
SCAN domains in zinc-finger transcription factors are crucial mediators of protein-protein interactions. Up to 240 SCAN-domain encoding genes have been identified throughout the human genome. These include cancer-related genes, such as the myeloid zinc finger 1 (MZF1), an oncogenic transcription factor involved in the progression of many solid cancers. The mechanisms by which SCAN homo- and heterodimers assemble and how they alter the transcriptional activity of zinc-finger transcription factors in cancer and other diseases remain to be investigated. Here, we provide the first description of the conformational ensemble of the MZF1 SCAN domain cross-validated against NMR experimental data, which are probes of structure and dynamics on different timescales. We investigated the protein-protein interaction network of MZF1 and how it is perturbed in different cancer types by the analyses of high-throughput proteomics and RNASeq data. Collectively, we integrated many computational approaches, ranging from simple empirical energy functions to all-atom microsecond molecular dynamics simulations and network analyses to unravel the effects of cancer-related substitutions in relation to MZF1 structure and interactions.
Reference Key
nygaard2016frontiersthe Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Mads Nygaard, Thilde Terkelsen, Andre Vidas Olsen, Valentina Sora, Juan Salamanca Viloria, Fabio Rizza, Sanne Bergstrand, Miriam Di Marco, Mette Vistesen, Matteo Tiberti, Matteo Lambrughi, Marja Jaattela, Tuula Kallunki, Elena Papaleo
Are you one of these authors? Claim your profile
Journal biopsychosocial medicine
Year 2016
DOI
10.3389/fmolb.2016.00078
URL
http://journal.frontiersin.org/Journal/10.3389/fmolb.2016.00078/full
Keywords
molecular dynamics simulation tcga transcription factors rnaseq saturation mutagenesisbiology (general)

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.