Johan Henriksson (Group leader)
Computational jack of all trades, with a recent love for the pipette.
Got an MSc in mechanical engineering from Chalmers, aimed at taking over family business, but the studies derailed. Ended up getting degrees in mathematics and computer science, among other, in addition. Somewhat randomly ended up with a hobby project on speciation and realized biology was the place to be if you are computational. Did a PhD working on microscopy for C.elegans at the Karolinska Institut. Realized this wasn’t the most efficient approach and went to learn single-cell RNA-seq at the Sanger Institute as a postdoc. Decided it was time to also do wet lab work. Was working on single-cell methodology but got stuck on a CRISPR-related project; this became the new speciality, with a focus on T cells. Still didn’t have enough of the academic experience and decided T cells would be a good model system of choice to go back and do regulatory modelling – full circle back to the speciation project, just completely different equations!
On the spare-time, only have the hobby of collecting hobbies (including now for example dancing, sawing, cooking, playing guitar and other typically Swedish macho male pastimes). General provider of banter, irony and dad humour.
Physicist/chemist with a taste for biology.
Got an MSc from Jadavpur University, India, in physical chemistry. Moved on to the Indian Association for the Cultivation of Science to do a PhD. After several successful papers, modelling reaction-diffusion (nonlinear) systems, toured the the US, with postdocs at University of North Dakota and Harvard. Ended up doing functional genomics and modelling of the Snapping Turtle, but realized a simpler system and more data is required to truly understand a biological system. Ended up joining us with the aim of whole-cell modelling, bringing his command of differential equations to meet our high-throughput data generation of T cells.
Also working with Ellen Bushell at MIMS on genetic screens in Malaria.
Biologist, now doing 50/50 wet-dry work (“moist”), because learning just one side was too simple.
Likes driving. Deploys robotic minions.
Highly equipped OT-2 system
Does the work while the rest are off drinking coffee or hacking on new algorithms. Has a particular appetite for 96-well plates but considers the 384-diet. Does up to 200ul volumes on a regular basis, especially when 80% ethanol is involved, but otherwise works down to 5ul. Less if needed. Doesn’t have much patience and usually goes with the 8-channel pipette. Though 1-channel pipettes available for all our cherry-picking or normalization needs.
Happy to also play with other groups at MIMS and Umeå University, as long they feed me well!
Friends of mine in the lab includes, among other, a Mantis dispenser, and several single-cell library prep systems.
Students / Internships:
2021 – Hayoung Lee; master thesis in advanced CRISPR screening
2021 – William Rosenbaum; mixed wet-dry lab master thesis on microRNA regulation of CD4+ T cells
2021 – Johan Lehto, Mathias Jonsson, Agata Jasna, Tiam Fitoon, Johan Lundberg & Elsa Renström – DBT2021 project students; automating SPRI cleaning on the OT2-robot
2021 – Nagham Saleh; master thesis in single-cell analysis
2021 – Annica Pedersen; single-cell internship – Forskaraspiranterna
2021 – Eleonora Hedin; single-cell internship
2021 – Illia Simutin; single-cell internship
2021 – Anna Münch; rotation project on single-cell analysis and advanced CRISPR screening
2021 – Jonathan Persson; thesis project on machine learning
2021 – Laura Plutowski; rotation project on single-cell analysis
2021 – Mattias Wassbjer; thesis project on machine learning. Prediction of RNA levels given gene sequence
2021 – Fanny Gustavsson; summer course on padlock probes / isothermal amplification
2021 – Yanka Rabelo; thesis project on lentivirus production for gene perturbation
2021 – Lisabeth Emilius; thesis project on ATAC-seq wet lab implementation and analysis
2020 – Zinzou Maëva; Single-cell analysis, CellPhoneDB
2020 – Hanna Olsson, Leonardo Monrroy Perez, Rasmus Burge & Yanka Rabelo – DBT2019 project students; predicting RNA binding protein activity from RNA-seq data.
Nicolò Lazzaro (Computational project assistant)
Luisa F. Corredor-Arias (Postdoc / Wetlab guru)
Anton Björk (Computational project assistant)