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Ian Mellis Reposted

What if you could find out the history of signaling activity in each cell with a single round of imaging? Wouldn't that be incredible? Well, we thought so too. And that's what we set out to achieve with INSCRIBE in our new preprint. Let’s dive in! 🚀🔬 biorxiv.org/content/10.110…


Ian Mellis Reposted

After precisely 4 years of grad school, I'm excited to share that the FIRST PEER REVIEWED PAPER FROM MY PHD HAS LANDED! cell.com/cell-systems/f… Indulge me in some back-story. 🧵


Ian Mellis Reposted

Transcriptional adaptation is so cool! and now we know how widespread it is- check out the paper for more. Very grateful to have worked with and learned so much from @ian_mellis !

Thrilled to share our latest @GenomeBiology led by @ian_mellis identifying widespread presence of transcriptional adaptation *really cool biology* in mammals w/ data mining & stochastic modeling thx @NU_CDB @NUSynBio @czbiohub @NITMB_Chicago @LurieCancer genomebiology.biomedcentral.com/articles/10.11…



Ian Mellis Reposted

Thrilled to share our latest @GenomeBiology led by @ian_mellis identifying widespread presence of transcriptional adaptation *really cool biology* in mammals w/ data mining & stochastic modeling thx @NU_CDB @NUSynBio @czbiohub @NITMB_Chicago @LurieCancer genomebiology.biomedcentral.com/articles/10.11…


Ian Mellis Reposted

My PhD work on harnessing the brain parasite Toxoplasma gondii for protein delivery to the brain is out in @NatureMicrobiol ! nature.com/articles/s4156…


Ian Mellis Reposted

Excited to share our new @biorxivpreprint in which we demonstrate the formation and maintenance of cellular memories in melanoma during acquisition of therapy resistance - dependent on the transcription factor AP-1 biorxiv.org/content/10.110… (1/9)


Ian Mellis Reposted

Interested in knowing how well doublet detection algorithms do and extract real singlets from scRNA-seq data? excited to share first research paper from the Goyal lab, a Herculean effort by @madelinemelzer & Charles in @CellGenomics! @NUFeinbergMed @NUSynBio @NU_CDB @czbiohub

Interested in reliably and robustly extracting ground-truth singlets in your scRNA-seq datasets? Excited to share a project from @yogeshgoyallab and Ziyang Zhang, using DNA barcodes to identify doublets in single-cell RNA sequencing data cell.com/cell-genomics/… (1/

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Ian Mellis Reposted

Interested in reliably and robustly extracting ground-truth singlets in your scRNA-seq datasets? Excited to share a project from @yogeshgoyallab and Ziyang Zhang, using DNA barcodes to identify doublets in single-cell RNA sequencing data cell.com/cell-genomics/… (1/

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Truly amazing PI, very talented and collegial lab members, exciting and diverse scientific ideas--if I were looking for a new position in the fields he mentions, I would definitely write to @yogeshgoyallab!

Interested in single-cell fate tracing in a variety of cancer and stem cell contexts? We have postdoc positions funded by Pew, CZI, and others. Reach out if interested!



Ian Mellis Reposted

Sharing the lab's first preprint! This was a herculean team effort led by Abby, Roshan and Jessie in the lab with contributions from additional past members. We describe a molecular recorder for tracing signaling histories in cells during development biorxiv.org/content/10.110…


Ian Mellis Reposted

Transcriptional responses of genes to master regulators can take complex non-linear forms. We wouldn't have been able to show this without systematically modulating TF dosage to a range of subtle to strong effects. So happy finally to see part of my postdoc work out! Great 🧵👇

We know the importance of subtle gene dosage variation, and yet the main tool of molbio is gene KO/KD. In our new preprint, @JuliaDiumenge introduced subtle modulations of transcription factor dosage by CRISPRi/a, and quantified responses by scRNA-seq. 1/ biorxiv.org/content/10.110…



Ian Mellis Reposted

A dream of our lab has been to image the full central dogma from a single endogenous gene, all live and with single molecule resolution. After many years we are happy to unveil a beautiful cell line that makes it possible. Check out our preprint (biorxiv.org/content/10.110…)! (1/n)


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