Assistant Professor Penn Path & Bioengineering. Interested in gene expression in cancer, single cell bio, tech dev, diagnostics. @PennMedicine @PennBioeng
Excited to share our latest preprint led by Rodrigo Gier!!🥳🥳
with @HuerosRaul and amazing collaborators @NancyZh60672287@DrGaryFalk@LabMuir@tkarakasheva
Lineage tracing with scRNA-seq to track the origins of metaplasia and its evolution to cancer.
https://t.co/kiBZZ1pAs7
Inheritable 'memory' genes drive #cancer drug tolerance, but their discovery in clinical samples is a major challenge. Our new theory, moving away from Luria-Delbruck, detects them from a *single* scRNA-seq dataset! With #ArchishmanRaju led by @suvranil_1 https://t.co/dbSz8bapqC
REGISTER NOW! 🚨🚨
Spots are filling up for the first EMBO workshop on Single cell Lineage Tracing 2025!!
Sept 18-21 in Girona, Spain.
Tons of opportunities for talks (short and full length) still available!!!
https://t.co/5zyDYe4ZaU
1/6 🧬New paper at @CellSytemsCP led by @SashaFanari! What if the “fifth nucleotide,” pseudouridine (Ψ), in mRNA dynamically responds to cell state? We used nanopore direct RNA sequencing + Mod‑pID to map Ψ in a neuron‑like SH‑SY5Y line under “normal” and “perturbed” conditions (healthy, RA‑differentiation and unhealthy, neurotoxicant Pb2+poisoning).
We are hiring postdocs! Projects on 1) probes for remote control of cell death and inflammation, and 2) application in vivo to study inflammation in cancer and therapy. Exciting science in an unparalleled environment @Penn@pennbioeng.
DM or email if interested!
My lab at UCSF (https://t.co/4FI7uEPTjv) is looking to recruit multiple postdocs across the spectrum of wet/dry lab interests to contribute to our research in synthetic gene regulation, combinatorial genetics, and tissue biology (including liver biology and immuno-oncology). We esp. welcome individuals who add to our capabilities and perspectives in computation or specific biological domains in tissue biology. Where appropriate there would be exceptional opportunities to work collaboratively with the help of junior specialists in the lab, as well as with other UCSF labs with complementary expertise.
Gene regulation involves thousands of proteins that bind DNA, yet comprehensively mapping these is challenging. Our paper in @NatureGenet describes ChIP-DIP, a method for genome-wide mapping of hundreds of DNA-protein interactions in a single experiment.
https://t.co/0aINMj2MTu
What gets erased when you integrate single cell data, and can you recover it? Finally, we know what happens and how to recover the lost signals. So excited to share CellANOVA, published online today in NBT! https://t.co/IBYxBXt2PX
Our latest paper with Joan @BruggeMe is now out @NatureGenetics! We explore hidden mechanisms of BRCA1 hereditary breast cancer using new mouse models, revealing unexpected tumor-like chromatin changes in Brca1-heterozygous normal mammary cells.
https://t.co/SadDgqeRMC
Refreshed look for Tools for Science!
https://t.co/6Xzntv2YFZ
Also, given the season, here's my guide for applying to faculty positions:
https://t.co/qEeQ9n0Dyk
Come check out the lab presentations on microbiome, fibrosis, cartilage, craniofacial biomaterials, osteochodral engineering! Applying to grad school or postdoc positions? Looking to recruit the next gen PhD students & Faculty? Come talk to us! #bmes2024@pennbioeng
On bioRxiv today, we raise serious concerns over a recent @nature paper describing ReDeeM, a new single-cell mitochondrial DNA (mtDNA) sequencing / analysis method. Here are three things that you need to know: 1/n
https://t.co/b5MaEdSUcQ
So excited to announce our new method for multiplexed RNA imaging in bacterial cells: bacterial-MERFISH! A huge congratulations to the team of @AriSarfatis, Yuanyou Wang, and Nana Twumasi-Ankrah! Check out the following thread or our bioRxiv (https://t.co/qESwAKeWpO) 1/12
IVT-derived unmodified human transcriptome paper is live! Resource for the #nanopore community. Congrats to the team 🙌🏼 https://t.co/QkgqPUidVp @CAMcCormick20@mitenjain@NUBioE1
We have released a new version of CAJAL, our Python package for cell morphology analyses. You can read about CAJAL in https://t.co/4jGdYlxBaY. In this version, we introduce several functionalities for improved interpretation, integration, and performance #singlecell#neuroscience
Do you want to quantify PD-L1+ extracellular vesicles in blood, but need a limit of quantitation 750x greater than conventional ELISA? We may have what you're looking for!
https://t.co/YCPPomuPhg