Martin Reijns

28 Followers
31 Following
29 Posts
Senior Postdoctoral Researcher at the MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh • Molecular Biology • Genome embedded ribonucleotides • Mutagenesis • Cancer • NA driven inflammation
HomeEdinburgh, Scotland
InstitutionMRC Human Genetics Unit, Institute of Genetics and Cancer, The University of Edinburgh
ResearchMolecular biology: Genome embedded ribonucleotides, genome stability, mutagenesis, cancer, NA driven inflammation
Born14 September 1977, Terneuzen, The Netherlands

This is worth reading under the Christmas tree! I was touched by the stories of @DrAnneCarpenter and @LashuelLab who both shrunk their lab following health issues. Perhaps science, as well as scientists, would be better off if we all ran smaller labs?

https://elifesciences.org/collections/1926c529/sparks-of-change?utm_source=twitter&utm_medium=social&utm_campaign=organic

Sparks of Change

Tell us how the culture of research is changing.

eLife

"we find that the number of non-AUG proteoforms identified with ribosome profiling data greatly exceeds those with strong phylogenetic support suggesting their recent evolution. Our study argues that the protein coding potential of human genome greatly exceeds that detectable through comparative genomics"

Alternative interpretation: translation is messy.

https://www.nature.com/articles/s41467-022-35595-6

Thousands of human non-AUG extended proteoforms lack evidence of evolutionary selection among mammals - Nature Communications

Analysis of a large number of Ribo-seq datasets and genomic alignments led to detection of novel non-AUG proteoforms. Unexpectedly the number of non-AUG proteoforms identified with Ribo-seq greatly exceeds those with strong phylogenetic support.

Nature
interesting new approach for a classic problem in computational biology : protein sequence alignment https://www.nature.com/articles/s41592-022-01707-9
Deep-learning language models help to improve protein sequence alignment - Nature Methods

We trained DEDAL, an algorithm based on deep-learning language models, to generate pairwise alignments of protein sequences taking into account the sequence-specific context of amino acid substitutions or gaps. DEDAL improved the alignment correctness on remote homologs by up to threefold and the discrimination of remote homologs from evolutionarily unrelated sequences.

Nature
I created mankind to spend half its time praising Me and the other half killing each other over who praised Me better.

#introduction

I'm a Wellcome Trust supported clinical career development fellow at University of #Oxford leading a group focusing on the tumour microenvironment of chromosomally unstable tumours.

I'm also a medical oncologist leading early phase #ImmunoOncology trials.

Personally, my #family & #faith are important to me. I like #running #swimming #triathlon. My husband has #MECFS Chronic Fatigue Syndrome, there's still more in life to celebrate than otherwise. I support #WomenInSTEM

There's always a tweet.

This is the best thing ever 😂

Who did this?? 🤣

Interesting finding from the Shokat & Gilbert labs: IFITMs can play a role in cellular uptake of large molecules that break the usual rules for passive permeation. In general, those processes aren’t well-understood, so there’s likely more to be written.
Also worth keeping in mind that PROTACs have an irreversible mechanistic step, and turnover, on their side to help compensate for poor uptake.
https://www.science.org/doi/10.1126/science.abl5829
When I get to 100,000 followers I will SMITE Elon and his bird shite for good by making Mastodon the ultimate new hotness. This will start a domino effect that will force all social media companies to ease their algorithm chicanery.
It starts HERE! #BoostTheToots