@ecesuet.bsky.social
Reposted
Excited to finally share our latest work!
We show that increased β-cell workload drives adaptive state transitions, but chronic activation can promote maladaptive states linked to β-cell failure in T2D.
Huge thanks to @worthamlab.bsky.social and all co-authors for their guidance and collaboration.
We show that increased β-cell workload drives adaptive state transitions, but chronic activation can promote maladaptive states linked to β-cell failure in T2D.
Huge thanks to @worthamlab.bsky.social and all co-authors for their guidance and collaboration.
Excited to share our latest work on beta cell adaptation and failure during increased workload! We found that deletion of the chromatin modifier Lsd1 has differing effects on glycemia in insulin resistant and insulin sensitive models via regulation of beta cell states (1/3) tinyurl.com/yxackfce
May 19, 2026 at 8:26 AM
Excited to finally share our latest work!
We show that increased β-cell workload drives adaptive state transitions, but chronic activation can promote maladaptive states linked to β-cell failure in T2D.
Huge thanks to @worthamlab.bsky.social and all co-authors for their guidance and collaboration.
We show that increased β-cell workload drives adaptive state transitions, but chronic activation can promote maladaptive states linked to β-cell failure in T2D.
Huge thanks to @worthamlab.bsky.social and all co-authors for their guidance and collaboration.
Reposted
I am so happy to share that our paperis officially published in Cell Genomics! In this paper, we describe TESLA-seq, which combines pooled CRISPR activation with targeted single-cell RNA-seq to map enhancer-gene connections at high sensitivity.
Link to the full story: www.cell.com/cell-genomic...
Link to the full story: www.cell.com/cell-genomic...
September 9, 2025 at 3:29 PM
I am so happy to share that our paperis officially published in Cell Genomics! In this paper, we describe TESLA-seq, which combines pooled CRISPR activation with targeted single-cell RNA-seq to map enhancer-gene connections at high sensitivity.
Link to the full story: www.cell.com/cell-genomic...
Link to the full story: www.cell.com/cell-genomic...
Reposted
Shortcomings of silhouette in single-cell integration benchmarking - @uweohler.bsky.social @prauten.bsky.social @mdc-bimsb.bsky.social @mdc-berlin.bsky.social @humboldtuni.bsky.social go.nature.com/4fcQzZr
Shortcomings of silhouette in single-cell integration benchmarking - Nature Biotechnology
Silhouette score is unsuitable as a metric for single-cell data integration.
go.nature.com
July 30, 2025 at 3:26 PM
Shortcomings of silhouette in single-cell integration benchmarking - @uweohler.bsky.social @prauten.bsky.social @mdc-bimsb.bsky.social @mdc-berlin.bsky.social @humboldtuni.bsky.social go.nature.com/4fcQzZr
Reposted
To evaluate computational models, we rely on trusted benchmark data and metrics
So what if a metrics is widely used… but plain wrong? It means that evaluations in dozens of papers are meaningless.
This has happened in single cell genomics…
(1/)
So what if a metrics is widely used… but plain wrong? It means that evaluations in dozens of papers are meaningless.
This has happened in single cell genomics…
(1/)
Shortcomings of silhouette in single-cell integration benchmarking - @uweohler.bsky.social @prauten.bsky.social @mdc-bimsb.bsky.social @mdc-berlin.bsky.social @humboldtuni.bsky.social go.nature.com/4fcQzZr
Shortcomings of silhouette in single-cell integration benchmarking - Nature Biotechnology
Silhouette score is unsuitable as a metric for single-cell data integration.
go.nature.com
August 6, 2025 at 8:07 AM
To evaluate computational models, we rely on trusted benchmark data and metrics
So what if a metrics is widely used… but plain wrong? It means that evaluations in dozens of papers are meaningless.
This has happened in single cell genomics…
(1/)
So what if a metrics is widely used… but plain wrong? It means that evaluations in dozens of papers are meaningless.
This has happened in single cell genomics…
(1/)
Reposted
Evaluating something like batch correction requires looking at the data, and picking metrics that capture what you care about. Great work @prauten.bsky.social and @uweohler.bsky.social
Shortcomings of silhouette in single-cell integration benchmarking - @uweohler.bsky.social @prauten.bsky.social @mdc-bimsb.bsky.social @mdc-berlin.bsky.social @humboldtuni.bsky.social go.nature.com/4fcQzZr
Shortcomings of silhouette in single-cell integration benchmarking - Nature Biotechnology
Silhouette score is unsuitable as a metric for single-cell data integration.
go.nature.com
August 5, 2025 at 12:48 PM
Evaluating something like batch correction requires looking at the data, and picking metrics that capture what you care about. Great work @prauten.bsky.social and @uweohler.bsky.social
Reposted
I think a lot about what Carl Sagan said in one of his final interviews.
May 4, 2025 at 6:21 AM
I think a lot about what Carl Sagan said in one of his final interviews.