Author: fredrikwermeling

2018 / Text (Swedish) for the membership magazine Legatus Mensae (“A strong Immune System”):

2021 / Interview for Nordic Life Science about the Nobel Prize in Chemistry for CRISPR (p. 38-43 here in English):

2020 / Interview for KI about the Nobel Prize in Chemistry for CRISPR (here in Swedish):

2020 / Interview for Reumatikervärlden, the membership magazine of the Swedish Rheumatism Association (in Swedish). Rumatikervärlden number 2 2020 page 36-37 (interview by Annika Sjöberg):

2005 / Text for the student magazine “Bukpressen”:

Page 38-43 in http://www.e-magin.se/paper/x7qggvj4/paper/1#/paper/x7qggvj4/38

Great work by Sanjay Boddul in the lab developing methods to study T cell receptors cloned from patients! The presented experimental pipeline enables rapid development of relevant humanized animal models for studying novel antigen-specific tolerance therapeutics.

https://smart.servier.com/

The Immune Epitope Database (IEDB) is a freely available resource funded by NIAID. It catalogs experimental data on antibody and T cell epitopes studied in humans, non-human primates, and other animal species in the context of infectious disease, allergy, autoimmunity and transplantation. The IEDB also hosts tools to assist in the prediction and analysis of epitopes.

http://www.iedb.org/home_v3.php

It’s a version of LentiGuide-puro where Sudeepta Panda and Long Jiang added P2A-eGFP after PuroR, lac-mRFP in the stuffer, and a cloning site directly after the sgRNA scaffold.

The plasmid allows for both puro and eGFP selection and MOI determination. The lac-mRFP in the stuffer gives a simple visual quality control step when expanding in bacteria (red=stuffer, white=spacer successfully introduced). The cloning site allows for introducing e.g. UMIs.

https://addgene.org/137730/

Beautiful paper from the Elling  and Zuber  Labs on a novel score to predict sgRNA efficiency. Also including a website for sgRNA design based on the VBC score: https://www.vbc-score.org/ . Brought to my attention by shared first author Julian Jude.

Paper: https://pubmed.ncbi.nlm.nih.gov/32514112/

Commentary: https://www.viennabiocenter.org/about/news/new-prediction-tool-sharpens-the-crispr-scissors/

Traditional #CRISPR screens typically only identify genes that have a non-redundant role in the studied system. Still, these are likely good candidate drug targets.

https://www.nature.com/articles/s41587-020-0490-7

Here we describe the bioinformatic tools we use designing and analyzing hypothesis-driven CRISPR Screens.

Great work by talented PhD student Vaishnavi Iyer, and everyone else involved!

–> https://www.sciencedirect.com/science/article/pii/S2001037020303627?via%3Dihub