Ida Lindeman

55 posts

Ida Lindeman

Ida Lindeman

@IdaLindeman

Postdoc at Oslo University Hospital Interested in autoimmunity, celiac disease, plasma cells, BCRs, IG polymorphisms and single-cell technologies.

Oslo, Norge Katılım Nisan 2012
337 Takip Edilen230 Takipçiler
Ida Lindeman retweetledi
Rasmus Iversen
Rasmus Iversen@RasmusIv·
Very happy to share our latest preprint, where we address the relationship between systemic and gut IgA. See link below and details in 🧵. Huge thanks to everyone involved! biorxiv.org/content/10.110…
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Cell Reports
Cell Reports@CellReports·
Generation of circulating autoreactive pre-plasma cells fueled by naive B cells in celiac disease dlvr.it/T5DBjy
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Rasmus Iversen
Rasmus Iversen@RasmusIv·
Very happy to share this story on autoreactive B cells in celiac disease together with @IdaLindeman @LeneHoydahl @ChristophAsb @LouiseFRisnes @JCoDiRC. Here, we identify a population of circulating IgA-switched B cells specific to the self-antigen transglutaminase 2 (TG2).
bioRxiv Immunology@biorxiv_immuno

Generation of circulating autoreactive pre-plasma cells fueled by naive B cells in celiac disease biorxiv.org/cgi/content/sh… #biorxiv_immuno

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Ida Lindeman retweetledi
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GreiffLab 💻🔬💊
GreiffLab 💻🔬💊@victorgreiff·
We just released CompAIRR – a tool that reduces greatly the longstanding computational bottleneck of identifying shared identical and similar sequences among large sets of immune repertoires. All the details/links are in the thread below. Feedback is very welcome! @airr_community
Lonneke Scheffer, PhD🧬💻@LonnekeScheffer

We are happy to report a dramatic speedup for one of the core computations for adaptive immune receptor repertoire (AIRR) analysis - the discovery and counting of receptors that overlap between repertoires! Check out our CompAIRR method: biorxiv.org/content/10.110… 1/7

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GreiffLab 💻🔬💊
GreiffLab 💻🔬💊@victorgreiff·
Another new preprint! We combined virtually-docked 3D-antibody-antigen binding complexes with an unbiased in silico oracle to explore at unprecedented resolution the principles of ML-based antibody design with respect to affinity, conformational epitope, and developability. 1/2
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Philippe A. Robert
Philippe A. Robert@PRobertImmodels·
Happy to share our preprint: "A billion synthetic 3D-antibody-antigen complexes enable unconstrained machine-learning formalized investigation of antibody specificity prediction" biorxiv.org/content/10.110… Check out Absolut! database+software to simulate more github.com/csi-greifflab/…
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Chakravarthi Kanduri
Chakravarthi Kanduri@KanduriC·
AIRR ML: Did you know that baseline machine learning methods can perform well even when disease-associated signals are present in only 2 out of 100 000 receptors in diseased adaptive immune repertoires? Check our latest preprint: biorxiv.org/content/10.110… 1/10
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Ida Lindeman
Ida Lindeman@IdaLindeman·
Check out our new paper on B-cell responses in multiple sclerosis! We used scRNA-seq and BCR-reconstruction to characterise B-lineage cells in the CSF, and identified stereotypical B-cell responses linked to IgG constant region polymorphisms. biorxiv.org/content/10.110…
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Andrei Slabodkin
Andrei Slabodkin@rlyhighvariance·
1/11 Did you ever wonder whether individuals have the same probability of generating a given antibody sequence? Turns out, they do not – not even twins! We showed that humans – including monozygotic twins – have unique VDJ recombination rules. biorxiv.org/content/10.110…
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Ida Lindeman retweetledi
GreiffLab 💻🔬💊
GreiffLab 💻🔬💊@victorgreiff·
Beyond happy to share our @immuneml platform, which streamlines your machine learning analyses on adaptive immune receptor repertoire data. It can be extended in all possible ways. Fantastic teamwork with the @SandveGeir lab. Let us know what you think! @airr_community 1/2
Geir Kjetil Sandve@SandveGeir

Very happy to finally release immuneML – an open-source python platform that streamlines development, application, and benchmarking of immune receptor machine learning for predicting immune status or antigen specificity (immuneml.uio.no). biorxiv.org/content/10.110… 1/10

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