Website: https://steglelab.org/
We’re excited to welcome Prof. Dr. Oliver Stegle as keynote speaker at #HMCConference2026
Director & Co-Spokesperson of #GHGA, @oliverstegle.bsky.social advances secure, #FAIR infrastructures for data-driven biomedical research. 🧬
steglelab.bsky.social ghga.bsky.social
We’re excited to welcome Prof. Dr. Oliver Stegle as keynote speaker at #HMCConference2026
Director & Co-Spokesperson of #GHGA, @oliverstegle.bsky.social advances secure, #FAIR infrastructures for data-driven biomedical research. 🧬
steglelab.bsky.social ghga.bsky.social
Preprint: doi.org/10.64898/202...
Summary in the 🧵 below by @danaivagiaki.bsky.social
Preprint: doi.org/10.64898/202...
Summary in the 🧵 below by @danaivagiaki.bsky.social
🔗 Deadline: 15/02/2026
embl.wd103.myworkdayjobs.com/en-US/EMBL/d...
🔗 Deadline: 15/02/2026
embl.wd103.myworkdayjobs.com/en-US/EMBL/d...
Project Outline Nr. 58: drive.google.com/file/d/1YZbs...
Project Outline Nr. 58: drive.google.com/file/d/1YZbs...
- A minimum of one first-author publication is required
- Applicants must develop their own research proposal based on our project outline
- Provide your CV, two reference letters and your project proposal
- Expected start date: between August 1, 2026, and January 1, 2027
- A minimum of one first-author publication is required
- Applicants must develop their own research proposal based on our project outline
- Provide your CV, two reference letters and your project proposal
- Expected start date: between August 1, 2026, and January 1, 2027
For more information, see the @hlsalliance.bsky.social Postdoc Program:
www.health-life-sciences.de/opportunitie...
For more information, see the @hlsalliance.bsky.social Postdoc Program:
www.health-life-sciences.de/opportunitie...
Register now and submit your poster: elsa-ai.eu/elsa-worksho...
📅 March 9, Heidelberg DE
Register now and submit your poster: elsa-ai.eu/elsa-worksho...
📅 March 9, Heidelberg DE
@embl.org | @dkfz.bsky.social | @uniheidelberg.bsky.social | @sangerinstitute.bsky.social
@embl.org | @dkfz.bsky.social | @uniheidelberg.bsky.social | @sangerinstitute.bsky.social
1️⃣ Understand perturbation responses
2️⃣ Extrapolate to unseen conditions
3️⃣ Guide future experiments
1️⃣ Understand perturbation responses
2️⃣ Extrapolate to unseen conditions
3️⃣ Guide future experiments
This database is continuously growing, and we invite everyone to submit methods and help us keep the repository up-to-date.
This database is continuously growing, and we invite everyone to submit methods and help us keep the repository up-to-date.
Our perspective further proposes a unifying ontology to structure and organise these methods across tasks, assumptions, and modelling concepts.
Our perspective further proposes a unifying ontology to structure and organise these methods across tasks, assumptions, and modelling concepts.
Take a look at our recent perspective: "Interpretation, extrapolation and perturbation of single cells"! (rdcu.be/eXeDY)
Take a look at our recent perspective: "Interpretation, extrapolation and perturbation of single cells"! (rdcu.be/eXeDY)
📘Preprint: www.biorxiv.org/content/10.6... 10/10
📘Preprint: www.biorxiv.org/content/10.6... 10/10
We reconstruct lineages, transfer spatial information between cells, and uncover region-specific stem cell identities and perturbation responses. 8/10
We reconstruct lineages, transfer spatial information between cells, and uncover region-specific stem cell identities and perturbation responses. 8/10
Different cell types respond differently to mono- vs biallelic mutations, revealing spatially organized compensatory mechanisms across the tissue. 7/10
Different cell types respond differently to mono- vs biallelic mutations, revealing spatially organized compensatory mechanisms across the tissue. 7/10
Standard perturbed-vs-control comparisons are dominated by stress responses.
Using true internal WT cells, scPT-seq uncovers mutation-specific transcriptional programs that were previously hidden. 6/10
Standard perturbed-vs-control comparisons are dominated by stress responses.
Using true internal WT cells, scPT-seq uncovers mutation-specific transcriptional programs that were previously hidden. 6/10
This lets us compare mutant and wild-type cells within the same tissue, separating genetic from environmental effects. 5/10
This lets us compare mutant and wild-type cells within the same tissue, separating genetic from environmental effects. 5/10
1️⃣ Base-pair resolution of CRISPR edits
2️⃣ Detection of insertions, deletions and splice changes
3️⃣ Clear distinction between WT, mono- and biallelic edits
4️⃣ Identification of “missing” alleles (a major blind spot of past methods) 4/10
1️⃣ Base-pair resolution of CRISPR edits
2️⃣ Detection of insertions, deletions and splice changes
3️⃣ Clear distinction between WT, mono- and biallelic edits
4️⃣ Identification of “missing” alleles (a major blind spot of past methods) 4/10
• droplet-based scRNA-seq
• targeted long-read sequencing of edited loci
• haplotype-resolved mutation calling
All from the same cells, in vivo. 3/10
• droplet-based scRNA-seq
• targeted long-read sequencing of edited loci
• haplotype-resolved mutation calling
All from the same cells, in vivo. 3/10
Guide capture ≠ successful edit.
Computational inference ≠ true genotype.
And in vivo, environmental effects easily mask real mutation-driven responses.
So how do we truly link genotype to phenotype at single-cell resolution? 2/10
Guide capture ≠ successful edit.
Computational inference ≠ true genotype.
And in vivo, environmental effects easily mask real mutation-driven responses.
So how do we truly link genotype to phenotype at single-cell resolution? 2/10
Most single-cell CRISPR screens infer edits indirectly.
We present scPT-seq, a method that directly detects CRISPR mutations and transcriptomes in the same single cells in vivo, from John Hawkins and Siamak Redhai from Boutros Lab. 1/10
Most single-cell CRISPR screens infer edits indirectly.
We present scPT-seq, a method that directly detects CRISPR mutations and transcriptomes in the same single cells in vivo, from John Hawkins and Siamak Redhai from Boutros Lab. 1/10