The core idea was stolen from @michalis-averof.bsky.social, the source of most of my stolen core ideas :P
The core idea was stolen from @michalis-averof.bsky.social, the source of most of my stolen core ideas :P
I "vibe coded" the app as a fun project in about 20 minutes, based on an old script I had around my Desktop for years. Have fun!
The tool returns a per-epitope hit list, including any other info the Ab manufacturer shared with you (ie. catalogue number), that you can use to order your favorite antibody right away.
No proteome? no problem! the tool will also accept a transcriptome (or genome), compute the 6-frame translation on the go, and scan the epitope list against the 6-frame translation.
If you ask nicely, Ab manufacturers will share the epitope information for all their monoclonal epitope-mapped antibodies. These epitopes can be searched against a new species' proteome and return potential hits, revealing potential reactivity.
Do you work with a strange model species and are frustrated by the lack of antibodies for immunos? Here's a web app that does some computational pre-screening for you.
sixpack-abscan.serve.scilifelab.se
In animals with large genomes, finding cis-regulatory elements can be very challenging. Enhancers can be located tens/hundreds of kb away from their target promoters. We face this challenge in Parhyale, with >3 Gbp genome.
We just published a preprint describing how we are tackling this problem. /1
I am very happy (and a bit scared) to present to you what we have been working on over the last 4 years. This manuscript is exactly what I dreamt of when I started the lab and I could not be happier and prouder of the outcome!
Mastodon: the Command Center for Large-Scale Lineage-Tracing Microscopy Datasets https://www.biorxiv.org/content/10.64898/2025.12.10.693416v1
A cloning strategy as depicted in the OpenCloning website
#OpenCloning is a an Open Source alternative to SnapGene/Benchling that supports automation and integration with other software
β
Free
π Open Source
𧬠More cloning methods than SnapGene
π€ Can be automated with python
π¨βπ¬ Built by a researcher β for researchers!
π Check it out at opencloning.org
Thrilled to share my main postdoc work with @jamesbriscoe.bsky.social
We used genomic barcoding + scRNAseq in chick & human embryos to reveal a lineage architecture that reshapes how we understand neural tube development & cell fate decisions
π§΅π
www.biorxiv.org/content/10.1...
There is still βan urgent need for donations from the community,β says Eric Lai, president of the Fly Board.
By @callimcflurry.bsky.social
#neuroskyence
www.thetransmitter.org/community/fl...
Here it is! Postdoctoral position to identify the progenitors sensory organs in the regenerating legs of Parhyale
apply here: www.averof-lab.org/pages/tracman
1/3
π¬π§¬π If you're interested in spatial omics and miRNAs, donβt miss our latest review!
We explore where the early field of spatial miRNomics stands, whatβs missing, and why incorporating miRNAs matters for building richer spatial transcriptomic maps.
#SpatialOmics #miRNA #GeneRegulation
We're looking for a PhD student!
Join the team to develop new technologies for targeted spatial omics.
More info and instruction on how to apply at the following link:
su.varbi.com/what:job/job...
We've just been awarded a grant to study the cellular basis of regeneration β to track the progenitors of sensory organs in the context of leg regeneration, in our favourite crustacean tinyurl.com/parhyale, based on live imaging and cell tracking. The project involves some cool collaborations... 1/3
Our latest work is now live on bioRxiv! We use copy number variation inference to uncover tumor clonality from imaging-based spatial transcriptomics data. Check it out: doi.org/10.1101/2025...
Useful perspective incorporating GRNs & gene modules into theory of evolutionary novelty
Parker & Pennell emphasise gene modules, not individual genes, as fundamental units of phenotypic evolution
Provides a needed evolutionary lens for analysing scRNAseq & cell types
www.cell.com/current-biol...
We're looking forward to another great day full of practicals and learning here at #EMBOSpatialOmics. We're having a great time so far, how about you? π
Let's see what you've been up to @maxjtelford.bsky.social ;)
Our colleague Prof. Benny (Ben Zion) Shilo passed away this morning @WeizmannScience . Benny worked at the forefront of world science in the study of molecular and developmental genetics. Among other things, he won the A.M.T. Prize in the field of genetics in 2013. He was also a great explainer of science, a kind teacher - and an artist photographer with a sharp eye and a sensitive soul. Benny, we will miss you very much. May his memory be blessed.
Our field has lost an amazing scientist, mentor, and old friend. Benny, along with Mike Hoffman, had a brilliant idea in the early 1980s. The first oncogenes were being cloned and they realized if we wanted to understand their roles in cancer, we needed to understand their normal function 1/n π§ͺ
Ok. This is the coolest i've read in a while
A study from @sergiomarcosalas.bsky.social @nilssonlab.org and colleagues presents a comprehensive evaluation of Xenium in situ datasets and provides recommendations on analysis workflows. @scilifelab.se
www.nature.com/articles/s41...
We offer three new positions to join BCA Phase 0:
1. A full-stack developer to work on the BCA database with @ebi.embl.org
2. A senior research technician to develop sc methods
3. A bioinformatician to analyze new atlases with @sangerinstitute.bsky.social
Details below.
Please, share and repost.
RNA xkcd.com/3056
New paper alert! Led by the great Fernando Garcia Moreno, our lab's first venture into evolutionary developmental biology is out on @science.org
www.science.org/doi/10.1126/...
This paper here is the product of one of my funniest collaboration ever. Developmental biology, evolution, tech development, memes, gifs, improvised brainstorming sessions via WhatsApp, and so much more... Crazy things can happen when people with different skill sets have fun together!
Schematic overview on how MicroSpit operates. It can split superimposed structures in fluorescent image channels by using a suitably trained AI.
Concrete example for how MicroSplit unmixes four superimposed structures.
Immagine you could image two cellular structures in the same fluorescent channel and still reliably get them separated afterwardsβ¦
What would you do with this?
Nowβ¦ what would you do if that also worked with 4 structures at once? π #MicroSplit #previewπ§΅