Tim Trobisch

25 posts

Tim Trobisch

Tim Trobisch

@TimTrobisch

Resident in Neurology | physician-scientist at @schirmerlab with a special focus on #SingleCell, heterogeneity of #NeuroGlia and #MultipleSclerosis

Se unió Temmuz 2019
59 Siguiendo21 Seguidores
Tim Trobisch retuiteado
Prof. Nikolai Slavov
Prof. Nikolai Slavov@slavov_n·
Let’s talk about proteins whose abundance generally does not correlate the abundance of the transcripts that templates them. Give examples.
Prof. Nikolai Slavov tweet media
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Ming "Tommy" Tang
Ming "Tommy" Tang@tangming2005·
People always ask how the protein is expressed if I show the RNA data. Here are the 6 resources for protein data 👇🧵
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Rahul Satija
Rahul Satija@satijalab·
Interested in single cell genomics but need help getting started? Check out my lab's Single Cell Genomics Day on April 7. Talks will feature recent exciting computational and experimental advances and will be livestreamed at satijalab.org/scgd. Please RT/spread the word!
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Lucas Schirmer
Lucas Schirmer@schirmerlab·
Extremely happy that this piece is out! A wonderful multi-lab endeavor spearheaded by ⁦@hannah_kapell⁩ about neuron-oligodendrocyte potassium shuttling at nodes of Ranvier that protects against inflammatory demyelination ⁦⁦@jclinicalinvest⁩ jci.org/articles/view/…
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Rahul Satija
Rahul Satija@satijalab·
Excited to share our preprint on multimodal single-cell sequencing to characterize antigen-specific CD8+ T cells across COVID vaccination and disease. We also release datasets profiling ATAC, RNA, protein, TCR and MHC dextramers at single-cell resolution: biorxiv.org/content/early/…
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Ming "Tommy" Tang
Ming "Tommy" Tang@tangming2005·
10 courses/books to learn bioinformatics 🧵👇
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Tim Trobisch
Tim Trobisch@TimTrobisch·
It was a great pleasure to present our latest data on cross-regional transcriptomic reactivity in MS @ECTRIMS - the first study to integrate three CNS regions on single cell resolution in human disease 🥳 many thanks for this opportunity @schirmerlab #ECTRIMS2022 #MS #SingleCell
Lucas Schirmer@schirmerlab

⁦@TimTrobisch⁩ rocked the poster session with a brilliant journey profiling #neuroglia cell types across the #CNS reporting novel #oligodendrocyte encoded #biomarkers in #MS - a fantastic endeavor that recently made it to paper, check it out: link.springer.com/article/10.100…

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Tim Trobisch retuiteado
Ramon Massoni Badosa
Ramon Massoni Badosa@rmassonix·
Do you want to get into scRNA-seq but are lost in the sea of never-ending papers? No worries, I got you covered. Here's a list of the best review that have help me understand the core concepts of the technique, analysis and interpretation:🧵
Fabian Luther@lutherfabian_

@rmassonix do any of you have similar ones for single-cell RNAseq? We want to establish both techniques in my lab!

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Tim Trobisch retuiteado
Itai Yanai
Itai Yanai@ItaiYanai·
If you don’t feel stupid doing science you’re not trying hard enough.
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Lucas Schirmer
Lucas Schirmer@schirmerlab·
Fantastic opportunity to dive deep into multiplexed spatial omics and apply novel spatially resolved transcriptomics and proteomics to inflamed tissues of muscle and brain! Drop us a line for more details and apply @DenisSchapiro and @schirmerlab @UniHeidelberg @ResearchLifesci
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Tim Trobisch retuiteado
Rahul Satija
Rahul Satija@satijalab·
We've released an Azimuth API that lets you process, map, and annotate your scRNA-seq dataset with a single R command. Just needs the raw counts matrix as input, and accepts Seurat objects, AnnData (h5ad), or hdf5 files. Check out the vignette at: satijalab.github.io/azimuth/articl…
Rahul Satija tweet media
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@IdoAmitLab @slinnarsson @AlexandervanOu1 @MarioniLab @sandberglab @jclinicalinvest @schirmerlab @hannah_kapell