DaveFinlayTCD @finlayd@qoto.org
We are an Immunometabolism research group that studies how nutrients and metabolism affect immune cell function at #TrinityCollegeDublin👨🔬 Love #NK_cells, #Dendritic_cells and #T_cells but can be easily convinced to talk at length about metabolism in any immune cell 😄. Twitter handle @DavidFinlayTCD
Joined Nov 2022
How does the non-physiological cell culture conditions affect cellular immunotherapies? A question on lots of peoples minds.
This study suggests controlling oxygen simply at point of CAR-T activation (not thereafter) provides cytotoxicity advantage
Oooh, I do like a lymphocyte adopting a novel metabolic configuration 😁🤓.
Resilient anti-tumour CD8 T with high Malic enzyme 1 expression.
ME1 makes glycolysis independent pyruvate and NADPH - the first for energy, the second supports GSH levels.
This one from John O’Shea’s group ticks a lot of boxes for me: common γ cytokine receptors, IL2, STAT5, mTOR, Myc, metabolism……all with genome wide analyses. 😁 nice!!
Lipid overloaded alveolar macrophages when they lack a NK cell receptor 🤔
NKR-P1B, best known as a NK inhibitory receptor, is required by alveolar macrophages to shape its metabolic configuration. KO AM take up more lipid but can’t metabolise it.
RT @LabWaggoner
Reproductive failure may be caused by global reduction in expression of uNK receptors important for interaction with HLA-C and HLA-G on EVT during early pregnancy, leading to reduced uNK activation @VikiLovesFACS https://www.biorxiv.org/content/10.1101/2022.11.25.517971v1
Surprising data showing that “MMR vaccination induces a trained immunity phenotype in γδ T cells”. Effect on γδ T cells is much greater than for NK cells and monocytes, known for their trained phenotype in response to the BCG vaccine.
RT @Rainmaker1973
How a book written in 1910 could teach you calculus better than several books of today
[Calculus Made Easy, by Silvanus P. Thompson, 1910 - full text pdf: http://bit.ly/2pThkf1 or with the table of contents: http://calculusmadeeasy.org]
Shhhh…do you hear that…👂. That is the sound of a massive energy barrier breaking 💥. Maybe I will do some RNASeq after all 😁
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RT @biorxiv_bioinfo
RNAlysis: analyze your RNA sequencing data without writing a single line of code https://biorxiv.org/cgi/content/short/2022.11.25.517851v1 #biorxiv_bioinfo
https://twitter.com/biorxiv_bioinfo/status/1596183814354530309
Interesting study looking at the impact of setbacks on early-career scientists
“Overall these findings are consistent with the concept that ‘what doesn’t kill me makes me stronger’.”
DaveFinlayTCD
boosted
@finlayd And also understanding protein levels can provide insights into regulation, secretome, metabolism, and human disease
RT @JasonSynaptic
“our study demonstrated that protein tissue-enrichment information can explain phenotypes of genetic diseases, which cannot be obtained by transcript information alone.” Large discordance between mRNA and protein enrichment! Now what RNA-seq folks?! https://www.cell.com/cell/fulltext/S0092-8674(20)31078-3
RT @DKrementsov
Excited to share our latest publication in which we challenge the dogma that gut bacterial metabolites of dietary tryptophan are immunoregulatory/suppressive. A short summary thread follows. https://microbiomejournal.biomedcentral.com/articles/10.1186/s40168-022-01408-7
An interesting area where I think there are lots of discoveries to be made.
“Metabolic control of ILCs in health and disease”
https://www.nature.com/articles/s42255-022-00685-8?utm_source=dlvr.it&utm_medium=twitter
How to stop Killers from turning on each other?
Engineering CAR-NK cells with ‘don’t kill me’ ligands circumvents problem of trogocytosis-mediated fratricide.
RT @DanielJDrucker
Careful how you mess with Acetyl-CoA carboxylase. A critical role for ACC in metabolic regulation of the innate immune response in macrophages @ScienceAdvances https://www.science.org/doi/10.1126/sciadv.abq1984
DaveFinlayTCD
boosted
Wondering how accurate #AlphaFold models are?
We compared #AlphaFold predictions with experimental data. Many parts are great, but even high-confidence #AlphaFold predictions have distortions, domain movements, backbone errors, and side chain errors.
Some great advise for young scientists from Ben Feringa:
👉withstand failure
👉show perseverance
👉take inspiration from small successes.
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RT @NobelPrize
"If you want to be a scientist, you have to withstand failure."
Listen to chemistry laureate Ben Feringa give advice to young science students on how to tackle failures.
Watch the full student session with Feringa here: https://www.youtube.com/watch?v=vpPfb6CscyI&t=1438s
https://twitter.com/NobelPrize/status/1595117014733193216
RT @roserventotormo
Delighted to receive #ERCStG to continue studying early cell fate decisions in the placenta using high-throughput genomics, computational/AI and synthetic biology tools!
Now, that is some good multi-tasking !!!
Fructose-1,6-bisphosphatase 1 functions as a protein phosphatase to dephosphorylate histone H3 and suppresses PPARα-regulated gene transcription and tumour growth
Great article providing interesting insight into how #mastodon is different to the #birdsite. Seems to me like a much more wholesome place to be. https://www.wired.com/story/the-man-behind-mastodon-eugen-rochko-built-it-for-this-moment/
We are an Immunometabolism research group that studies how nutrients and metabolism affect immune cell function at #TrinityCollegeDublin👨🔬 Love #NK_cells, #Dendritic_cells and #T_cells but can be easily convinced to talk at length about metabolism in any immune cell 😄. Twitter handle @DavidFinlayTCD
Joined Nov 2022
