Discover and read the best of Twitter Threads about #CyTOF
Most recents (7)
New @medrxivpreprint from work over 5 years with @tsanglab!
Our framework for integrating human population & single cell variations identified a "naturally adjuvanted" baseline immune system setpoint linked to more robust & immunogenic vaccine responses.
medrxiv.org/content/10.110…
Our framework for integrating human population & single cell variations identified a "naturally adjuvanted" baseline immune system setpoint linked to more robust & immunogenic vaccine responses.
medrxiv.org/content/10.110…
We used mixed effects models to decompose variation in every gene attributable to cell type (defined by surface protein), individual, age, sex, and vaccination effects. Individual differences often explain substantial variation, highlighting the need for hierarchical models. 
After accounting for human population variation, we defined vaccine-induced transcriptome perturbations in each cell type, then integrated these statistical model results with "bottom up" computational reconstructions of transcriptional dynamics.
Early IFN-α signatures and persistent dysfunction are distinguishing features of NK cells in severe COVID-19, bit.ly/3teIlId, our latest team effort in #COVID19 research lead by Jacob Natterman @LabSchultze and @AschenbrennerAC out now @ImmunityCP. [1/n]
We performed a detailed characterization of natural killer cells in 205 patients from four independent cohorts using #scRNAseq, #MCFC and #CyTOF together with functional studies. [2/n]
We found elevated IFN-α plasma levels in early severe COVD-19 alongside increased NK cell expression of ISGs and genes involved in IFN-α signaling. [3/n]
Good morning science Twitter 😁🧬🔬 Our deep profiling of human IL-10-producing B cells by single-cell, highly multiplexed cytometry analysis is live on @biorxivpreprint! #bcellsrule
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As all you immunology researchers know well, Tregs are the 'popular' lymphocytes when it come to regulatory immune cells. Yet, there is provocative evidence that regulatory B cells (#Bregs) also mediate anti-inflammatory function, primarily through production of #IL10.
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Many knowledge gaps remain with respect to the optimal signals to induce Bregs, their phenotypic and functional diversity across healthy humans, and the potential of canonical B cell subsets to give rise to IL-10-producing cells.
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Is it possible to predict signaling in single cell? 🤔
Our @attila_gbr with Marco Tognetti, @BodenmillerLab group, @tanevski, and @Sagebio designed a @DR_E_A_M challenge to crowdsource this question and our manuscript is out 🎊biorxiv.org/content/10.110…. Here is what we learnt🧑🎓
Our @attila_gbr with Marco Tognetti, @BodenmillerLab group, @tanevski, and @Sagebio designed a @DR_E_A_M challenge to crowdsource this question and our manuscript is out 🎊biorxiv.org/content/10.110…. Here is what we learnt🧑🎓
we used this biorxiv.org/content/10.110… rich dataset from the @BodenmillerLab and @Picotti_Lab labs: 80 millions of #singlecell from 67 #breastcancer cell lines, 36 measured markers, 5 kinase inhibitors, time courses #CyTOF + #proteomics , transcriptomics and genomics
Did the antibody stop working or you cannot measure a node? We can predict it’s activity from other measured nodes. Predictions correlate strongly with test data and are accurate across time and conditions. Watch out for rare signaling patterns though.
Suppressive myeloid cells are a hallmark of severe COVID-19 bit.ly/3hbrGyN. Our latest preprint provides insights into systemic immune responses to SARS-CoV-2 infection incl. profound alterations of the myeloid compartment associated with severe COVID-19. (1/n) #COVID19
We combined two scRNA-seq techniques and sc-proteomics in PBMC and whole blood in two independent dual-center patient cohorts (n=46 + n=54 samples) to determine changes in immune cell composition and activation in mild and severe cases of COVID-19.(2/n) #scRNAseq #CyToF
Our study reports 1) time- and severity-dependent deviations of the monocyte compartment, particularly the identification of immunosuppressive monocytes at late stages in severe COVID-19, 2) the apprearance of immature and dysfunctional granulocyte subsets in severe disease.(3/n)
Extremely proud to share my lab’s first paper: ‘Cell-Type Specific Signaling Networks in Heterocellular Organoids’ out today in @naturemethods (1/14) nature.com/articles/s4159…
#Organoids are amazing biomimetic tissue models that contain multiple cell-types (e.g. stem, differentiated), each in their own cell-state (e.g. proliferating, quiescent, apoptotic). (2/14)
While this complexity is what makes organoids so useful, it also makes them tricky to study. My lab wanted to use organoids to study cell-signalling in cancer – but bulk methods (e.g. LC-MS/MS) couldn’t easily provide cell-type and cell-state specific signalling data. (3/14)
Out today! New tool for everyone interested in immune monitoring using mass cytometry (#CyTOF). Provides a comprehensive reference panel to identify major immune cell lineages, functional subsets and checkpoint molecule expression.
Some highlights below:
cell.com/cell-reports/f…
Some highlights below:
cell.com/cell-reports/f…
No more spending several months to establish a panel! Our workflow is ready-to-go, consists of
commercially available reagents (@fluidigm) and is already titrated. Using this backbone, >98% of peripheral blood cells can be clearly identified by positivity for >4 antigens
More:
commercially available reagents (@fluidigm) and is already titrated. Using this backbone, >98% of peripheral blood cells can be clearly identified by positivity for >4 antigens
More:
We further validated our approach by flow cytometry and across various research centers. Also, works comparable on both live and pre-fixed cells. Did we miss your favorite marker or you have a specific hypothesis? Can easily be extended with 10+ surface and intracellular markers
