The Stem Cell and Leukemia Lab @Lund_Stem @lunduniversity. Focus on normal- and malignant hemtopoietic stem cells and single-cell genomics.
Lund, Sweden
Joined May 2020
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KarlssonLab@LU retweeted
🚀🧫Exciting start to our 2024 #StemCellTalk series at @MedFak_lu! Assoc. Prof. Göran Karlsson discussed 'Exposing the #stemcells of Chronic Myeloid Leukemia' and their therapy resistance, offering new perspectives.
More on @GKarlssonLab's research ⤵️
stemcellcenter.lu.se/researc…
Some stem cell markers indicate ongoing hematopoietic output. The latest work from our lab;
CD9 marks myeloid/MegE-biased human hematopoiesis biorxiv.org/content/10.1101/…
#MyOAarticle "Scarf enables a highly memory-efficient analysis of large-scale single-cell genomics data" received 5,567 downloads since its publication! Access the article here tinyurl.com/38hkfhxj
📢 The latest work from our group (more in comments)! #CML #TKI #LeukemiaResearch #CellularHeterogeneity #TreatmentResponse #CITEseq #SingleCellGenomics biorxiv.org/content/10.1101/…
A groundbreaking study on how the stem cell heterogeneity of chronic myeloid leukemia (CML) patients at diagnosis effects the response to tyrosine kinase inhibitors (TKIs). 🧬🔬
Congratulations to Fatemeh Mojgan Safi for brilliantly defending her thesis on HSC lineage priming and CD9 @Lund_Stem! Great discussion with opponent Kim Theilgaard-Mönch. #science #research #PhD #thesisdefense #LundStemCellCenter
Presenting at the fantastic Danish single-cell meeting
Systematically mapping enhancers in hematopoietic stem and progenitor cells👍
Göran Karlsson @GKarlssonLab Lund University @lunduniversity @Lund_Stem #singlecellCPH23
biorxiv.org/content/10.1101/…
The lab is very proud of Dr Parashar Dhapola who brilliantly defended his thesis today. Thanks to Kostya Khodosevich @KhodosevichLab for being an excellent faculty opponent! Congrats @ParasharDhapola!
KarlssonLab@LU retweeted
🧣Now in @NatureComms, Scarf, a novel memory-efficient solution for single-cell genomic #analysis created by @lunduniversity & @Lund_Stem researchers: @ParasharDhapola & @GKarlssonLab
Discover how it can help scientists navigate their #genomics data ⤵️
stemcellcenter.lu.se/article…
The latest work from our lab by @ParasharDhapola and colleagues!Scarf is a memory efficient tool for single-cell genomic analysis with important applications. nature.com/articles/s41467-0…
KarlssonLab@LU retweeted
New findings from the @GKarlssonLab at @lunduniversity illuminate an elusive cell state during the development of normal #blood #stemcells🩸🔦
Read about their work which sheds light on how properties of these cells are lost as they decide their fate👉 bit.ly/3srFiNy
So very proud of the team behind our latest study characterizing hematopoietic stem cells before they make a decision on what lineage to become. stemcellcenter.lu.se/article…
So proud of Mikael Sommarin for receiving his PhD yesterday! 🍾🎓Thanks David Kent @scienceadvocacy for a brilliant discussion!
KarlssonLab@LU retweeted
Just released Scarf 0.18.0🚀
Many improvements for handling snATAC-Seq datasets. Check out the updated vignette here:
scarf.readthedocs.io/en/late…
#singlecell #snATACseq #genomics
ALT PBMC scATAC peaks derived gene accessibility values (GeneScores) visualized on UMAP
KarlssonLab@LU retweeted
Really excited to share our latest work that links spliceosomal RNA modifications to selective control of alternative splicing and redox homeostasis in cancer cells doi.org/10.1093/narcan/zcab0…. Huge congrats to our Giulia @GiuliBeneventi and all the other co-authors!
KarlssonLab@LU retweeted
Happy to see our protocol paper in STAR Protocols published on line. Thank you all co-authors for a great collaboration!
In vitro differentiation of human pluripotent stem cells into the B li... sciencedirect.com/science/ar…
Minireview from our lab and our friends in @BoiersLab on the power of single-cell heterogeneity analysis for understanding developmental hematopoiesis. frontiersin.org/article/10.3…
1/7 We are delighted to introduce Scarf, a single-cell analysis toolkit that puts atlas-scale datasets within the reach of all scientists, requiring just a laptop. One can process scRNA-Seq data of 4 million cells using less than 16GB of RAM.
Preprint: doi.org/10.1101/2021.05.02.4…
6/7 Scarf also includes functionality to integrate datasets using KNN projection, allowing researchers to investigate how their results compare to huge single-cell expression atlases - all at low memory consumption.
7/7 Scarf is made possible through funding by @barncancerfond @KAWstiftelsen @Vetenskapsradet @Cancerfonden
Source code here:
github.com/parashardhapola/s…
Documentation and tutorials in progress here:
scarf.readthedocs.io
Install on Python:
`pip install scarf-toolkit`