RT @MarkCembrowski
our institute is doing a cluster hire of 6(!!) faculty members. @ubclifesciences / @UBC is a spectacular place to run a lab, with immensely supportive colleagues and environment. happy to answer any questions on our upcoming search https://twitter.com/ubclifesciences/status/1619101479121600512
RT @WishartLab
Dr. Wishart has just been awarded the J. Gordin Kaplan Award for Excellence in Research. It is the the most prestigious research award given out by the #UAlberta, and he joins a list of other distinguished scholars. Congratulations, Dr. Wishart! https://www.ualberta.ca/research-innovation/funding-and-awards/internal-honours-prizes/j-gordin-kaplan-laureates.html
RT @ubclifesciences
The LSI is launching a search for 6 diverse faculty members, across career stages, around the concept of Biological Resilience. https://lsi.ubc.ca/2023/01/27/six-faculty-positions-at-ubc-in-biological-resilience/
Share widely!
@JimJohnsonSci @UBCmedicine @SBME_UBC @UBCcps @ZoologyUBC @UBCbiochemistry @UBCMicroImmuno @EJRideout
I have focused on the DNA binding and bioinformatics, but read the paper for detailed characterization of the disease phenotype, transgenic mouse models and much more 13/12
With deep appreciation to all of the participating scientists and clinicians in the vast IRF4 International Consortium. And most importantly to the patients and families for engaging in the research process. 12/12
It is also a great display of bioinformatics being well applied at the intersection of rare disease and gene regulation. Very pleased to have contributed 11/12
I think this is a dramatic example of how disrupting the binding of a TF can have widespread impact on regulatory programs in cells and human phenotypes 10/12
ExplaiNN provided great insight into the wide range of IRF4 binding motifs, returning Importance scores that clearly highlight the novel motifs targeted by IRF4 9/12
Pulling together the diverse types of binding data compiled, @ofornes used our ExplaiNN system (with input from @NovakovskyG ) to explore the relative contribution of the diverse IRF4 target sites observed … 8/12
https://www.biorxiv.org/content/10.1101/2022.05.20.492818v3
The binding data showed in particular that the mutation was allowing the TF to stick to novel target sequences, most strikingly those having a GATA instead of a GATA in the motif 7/12
to show that the mutations were indeed causing IRF4 to stick to a much broader range of DNA sequences 6/12
In an amazing effort spanning many countries and disciplines, more patients were discovered and extensive profiling of mutant IRF4 binding was generated – so many partners stepped up 5/12
After structural modeling, @ofornes suggested that the introduction of a positively charged amino acid at the position could cause increased DNA affinity, which would alter TF-DNA interactions 4/12
IRF4 DNA binding is complex as it partners with many different TFs for binding. On its own IRF4 binds to ISRE motifs, but in partnership targets composite sites - EICEs (ETS partnered) and AICEs (AP1 partnered) 3/12
The work reflects a virtuoso bioinformatics effort by @ofornes that started for us with an email about a single amino acid change in IRF4 that was observed in a child with immune problems 2/12
Excited to share a story about mutations in the IRF4 TF DNA binding domain that alter its binding specificity to cause a dominant form of immunodeficiency. Great work led by @TurveyLab https://www.science.org/doi/10.1126/sciimmunol.ade7953 1/12
Bioinformatics enthusiast, UBC professor, BC Children's Hospital scientist, He/Him