Cell Signaling Lab
@PosasLab
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We aim to unravel how cells detect, respond and adapt to environmental changes, working with yeast and higher eukaryotes. Francesc Posas lab at @IRBBarcelona
IRB Barcelona
Joined February 2020
New preprint!!🚨🚨 Happy to share that we’ve generated a single-cell yeast transcriptome atlas using deletion-based genetic perturbations for more than 3000 mutants under control and stress conditions. 🧬👇
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RT @Cris_Vieitez: Our lab is recruiting Postdocs with strong background in Epigenetics, PTM biology and/or Cell Signalling along with exp…
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RT @GallegoLab: We open a PhD position in our lab @UPFbiomed , if you like exploring never studied #fungi, understanding #biophysical princ…
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RT @M_NadalRibelles: Tomorrow I'll be explaining our latest work at the @Singleron_Bio webinar. If you are interested in our scRNA-seq pert…
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The work was supported by @IRBBarcelona, @UPFbiomed, @BecariosFLC, @CienciaGob, @icreacommunity. Great support from @Singleron_Bio ! Cheers to the great team: @M_NadalRibelles, @carmesoleserra, Yaima Matas, Anna Diez, @yocamilleyo, @eulaliadenadal, @LarsMSteinmetz, Francesc Posas
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Cell states can be genetically perturbed and contain information to infer gene function based on transcriptional phenotypes. Some mutants act as state attractors. For example, impaired mitochondrial function and endosomal sorting promote aging-like transcriptional phenotypes.
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In addition, we have identified stress-primed cells whose expression program renders them with lower fitness in control conditions but grants them a stress-resistant phenotype.
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For example, we disentangled the aged cell signature from bulk into different aging-associated expression patterns based on the expression of iron (FIT3) or hypoxia (HUG1) related genes. Cells that express any of those markers showed aged phenotypes.
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This has led us to understand how transcriptional heterogeneity within a population establishes intrinsic and extrinsic cell states that reflect cell function. A plus is that you will be able to look at your favorite mutant single cell expression pattern.
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We profiled 1M cells that cover 75% of the yeast genome (>3000 mutants per condition). This 3’UTR barcoding strategy includes clonal tracing and allows mapping the genomic position of the mutant validating its identity, a longstanding question for yeast collections. 🤔
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To achieve this, we’ve created a new version of the Yeast Knock Out Collection that includes RNA-traceable genotype and clone barcodes using the original deletions.
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We have mapped cellular states and assessed the extent to which perturbation-driven transcriptional heterogeneity influences cell fitness. A wonderful collaboration with @LarsMSteinmetz. Tweetorial to follow is coming very soon! stay tuned.
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One more Doctor in the house! Today, Hansol Bae succesfully defended her PhD thesis 🎉 Best of luck in your new future steps! 👩🏻🎓🍀
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RT @IRBBarcelona: 🏅¡El #IRBBarcelona distinguido por cuarta vez consecutiva con la Acreditación de #Excelencia #SeveroOchoa! 👉Orgullosos d…
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@IRBBarcelona @VWR @Avantor_News @VWR_UK @thermofisher And pur best friends in the labs, the 1.5mL tubes fron @Eppendorf_Group We filled some of them with different buffers to build a colourful bridge Take a look again in case you could not spot it!
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