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One of hopefully many journeys to come. Big thanks to my mentors @MoEbrahimkhani and @samira_kiani1. Also, thanks to @ryanlegraw for working shoulder to shoulder with me on this for the last few years. Time flies.
1/It’s a pleasure to share with you results of +4 years’ work of my students and collaborations.@CellSystemsCP @CellPressNews "Gene Regulatory Network Analysis and Engineering Directs Development and Vascularization of Multilineage Human Liver Organoids"
authors.elsevier.com/sd/arti…
I AM DOCTOR! 😁 Thank you for your valuable mentorship these last 6 years that has gotten me to this point! @MoEbrahimkhani @samira_kiani1 Thanks to everyone who could make it in person and over Zoom.
Jeremy Velazquez retweeted
Another amazing organoid advance from @JimWellsLab @CincyChildrens tissue engineering with hPSC-derived ectoderm, mesoderm and endoderm
sciencedirect.com/science/ar…
Woohoo!
1/3 It’s a great pleasure to receive this award to support our lab studies on #programmable #organoids and living #Machines - special thanks to @NSF for RECODE program inside.upmc.com/upmc-pitt-re…
Jeremy Velazquez retweeted
A great collaboration with @doralidsy and Ziv Bar-joseph lab at @CarnegieMellon . We show how integration of machine learning approaches (TraSig) with synthetic morphogenesis can decode principles governing cellular communication and development. #organoids
1/5 We are excited to share our new preprint on leveraging pseudo-time ordering to infer cell-cell interaction for scRNA-seq data, in collaboration with @Jvquez12 , @johnding86 , @SynCellJoshua
and @MoEbrahimkhani . biorxiv.org/content/10.1101/…
It was really great collaborating with you on this, Dora. Very excited about the work and future applications.
1/5 We are excited to share our new preprint on leveraging pseudo-time ordering to infer cell-cell interaction for scRNA-seq data, in collaboration with @Jvquez12 , @johnding86 , @SynCellJoshua
and @MoEbrahimkhani . biorxiv.org/content/10.1101/…
It feels weird not working with you 24/7 on this anymore =/ Cheers!
Super excited to see a few years of work with @Jvquez12 @MoEbrahimkhani @samira_kiani1 along with a sweet cover now out in @CellSystemsCP cell.com/cell-systems/fullte…
Jeremy Velazquez retweeted
There was a very 2020 apocalyptic vibe on the last confocal session for the year today @IMBatUQ.
Jeremy Velazquez retweeted
Two very interesting papers on 'synthetic morphogen' systems. GFP was used as a diffusible ligand!
science.sciencemag.org/conte…
science.sciencemag.org/conte…
Jeremy Velazquez retweeted
SingleCellNet is now available in Python too! It is Scanpy and AnnData compatible! The pySCN maintains the high performance in the quantitative annotation as the original version in R but with shorter training time. Check it out! github.com/pcahan1/PySingleC… Plz retweet!! @cahanLab
Jeremy Velazquez retweeted
Sharing another great article that gives a comprehensive overview from start to end of single-cell RNA-seq.
New review on single-cell RNA seq analytical tools by an amazing team @BrianHie @joshpetepeters @snyquist2 @shaleklab BergerLabMIT -- check it out! annualreviews.org/doi/pdf/10…
Jeremy Velazquez retweeted
2. what I like of the ‘organoid field’ is that, if we are honest, we know we are pitched against the most fearful competitor and critic: the embryo who gets it ‘right’ every time
My first 1st author technical paper from my PhD studies! It's been quite the journey. bioRxiv viewer disq.us/t/3om1owl
Excited to show the project we have been working towards for past few years!
I am glad to share with you our recent preprint :
"Synthetic Maturation of Multilineage Human Liver Organoids via Genetically guided engineering " #organoids #multicellular #maturation #geneticengineering #liver #stemcell biorxiv.org/content/10.1101/…
Jeremy Velazquez retweeted
Very glad to have been able to participate in @theNASEM Embryo Model Systems Workshop! A full day of insightful, thought-provoking talks and beautiful science. Excited to dive back into my own work! #EbrahimkhaniLab
Jeremy Velazquez retweeted
Liver-on-a-chip, the ideal test environment for CRISPR | EurekAlert! Science News eurekalert.org/pub_releases/…




















