#scRNA-Seq
scStable: assessing scRNA-seq analysis stability under bulk-derived between-sample variation #SingleCell 🧪🧬🖥️
https://www.biorxiv.org/content/10.64898/2026.10.01.755876v1
October 8, 2026 at 4:01 PM
scStable: assessing scRNA-seq analysis stability under bulk-derived between-sample variation https://www.biorxiv.org/content/10.64898/2026.10.01.755876v1
October 8, 2026 at 11:45 AM
scStable: assessing scRNA-seq analysis stability under bulk-derived between-sample variation https://www.biorxiv.org/content/10.64898/2026.10.01.755876v1
October 8, 2026 at 11:45 AM
Gastric cancer-specific neuroinflammation-related genes with prognostic significance: scRNA-seq with bulk RNA-seq data and experimental validation #NeuroDegeneration 🧪🧠
https://www.researchsquare.com/article/rs-10253202/latest
October 7, 2026 at 4:03 PM
Gastric cancer-specific neuroinflammation-related genes with prognostic significance: scRNA-seq with bulk RNA-seq data and experimental validation #SingleCell 🧪🧬🖥️
https://www.researchsquare.com/article/rs-10253202/latest
October 7, 2026 at 4:00 PM
🏆 Poster/abstract deadline: Oct 15. The two best posters each win a full fee waiver to publish in npj Systems Biology and Applications.

I'll be talking about personalizing multiscale models with PhysiBoSS (bulk RNA-seq, scRNA-seq, spatial transcriptomics).
October 7, 2026 at 12:38 PM
"Double-dipping" in testing for phenotypic differences with scRNA-Seq #SingleCell 🧪🧬🖥️
https://www.biorxiv.org/content/10.64898/2026.10.02.756269v1
October 7, 2026 at 10:01 AM
"Double-dipping" in testing for phenotypic differences with scRNA-Seq https://www.biorxiv.org/content/10.64898/2026.10.02.756269v1
October 7, 2026 at 7:47 AM
"Double-dipping" in testing for phenotypic differences with scRNA-Seq https://www.biorxiv.org/content/10.64898/2026.10.02.756269v1
October 7, 2026 at 7:47 AM
A developmental single-cell atlas of the Drosophila visual system glia reveals cell type diversification and subcellular mRNA compartmentalization @PLOSBiology.org
A developmental single-cell atlas of the Drosophila visual system glia reveals cell type diversification and subcellular mRNA compartmentalization
by Amanda A. G. Ferreira, Sergio Córdoba, Raghuvanshi Rajesh, Ben Jiwon Choi, Claude Desplan Glial cells are essential for proper nervous system development and function. To understand glial development and function, we comprehensively annotated the glial cells from two large single-cell mRNA-sequencing (scRNA-seq) atlases of the developing Drosophila visual system. This allowed us to identify all glial cell types from larval to adult stages and follow their developmental trajectories to understand how the diversity of glial types is generated during development. We show that whereas most glial types, such as chiasm glia, gradually change their transcriptome as they mature during development, neuropil glia that transcriptionally appear as a single-cell class in larvae, splits into ensheathing (EG) and astrocyte-like (ALG) glia types during pupal stages. We have experimentally validated these developmental trajectories and identified the genetic markers expressed through the differentiation between EG and ALG classes. Unexpectedly, our analysis of scRNA-seq datasets allowed us to discover that the transcriptome of glial cell bodies can be distinguished from that of their processes. We have identified that processes are enriched for distinct mRNAs that were validated in vivo. This work provides the most detailed transcriptomic analysis of optic lobe glia during development and helps explain the expansion of glial diversity observed in the adult visual system. We also present an innovative computational approach to identify mRNA species that are differentially localized to cell bodies or cellular processes.
dlvr.it
October 7, 2026 at 7:40 AM
Gastrulation is a dynamic process driven by interactions among epigenetic regulators. But how do they regulate genes and repeats in this critical period? We generated 30 different F0 knock-outs and performed scRNA-seq to find out.
October 6, 2026 at 7:51 PM
Great to see this out from @vertesy.bsky.social and @knoblich-lab.bsky.social. A real tour de force, using barcoded monosynaptic rabies tracing with scRNA-seq to study single-neuron connectivity and molecular states in hPSC-derived organoids. Huge congrats to the whole team!
New preprint! 🧠🧬 Can cerebral organoids reveal intrinsic rules of circuit assembly? We think yes! COSCO maps >10,000 networks and reveals cell-type intrinsic wiring, reproducible network formation, recurrent motifs, molecular signatures of wiring and aberrant connectivity in TSC. bit.ly/47CryUl
October 6, 2026 at 2:24 PM
A new preprint introduces two standardized, end-to-end pipelines for single-cell RNA-seq and imaging-based #spatialtranscriptomics analysis.

EISCA supports droplet- and plate-based scRNA-seq, while EISTA is tailored for high-resolution spatial platforms.

#SingleCell #RNAseq
Preprint: EISCA and EISTA: Full-Spectrum Pipelines for Single-Cell and Spatial Transcriptomics Analysis
Scientists at Earlham Institute, John Innes Centre, University of Freiburgh, and University Medical Center Rotterdam present EISCA and EISTA, two standardized, end-to-end pipelines for single-cell RNA- seq and imaging-based spatial transcriptomics analysis.
okt.to
October 6, 2026 at 1:00 PM
4/5 And, close to our hearts, **HLA**!

From scRNA-seq reads alone, scTAPAS can also infer classical HLA alleles and amino acid variation, enabling downstream HLA–TCR association analyses.

No matched genotyping. No molecular HLA typing. Just scRNA-seq (+ scTCR-seq for the TCR analysis!).
October 6, 2026 at 9:04 AM
1/5 scRNA-seq reads contain a lot of usable genetic information.

By combining sparse RNA-derived variants, including intronic and intergenic sites, scTAPAS can accurately reconstruct donor genotypes from scRNA-seq alone.

And as expected: more transcription → more reads → better variant recovery.
October 6, 2026 at 9:04 AM
📣 Proud to share another preprint from the lab! 📣

Can we do genetic association studies from single-cell RNA-seq when matched genotypes aren’t available?

Introducing scTAPAS: reconstructing donor genotypes from scRNA-seq for downstream eQTL and HLA–TCR analyses.
www.biorxiv.org/content/10.6...
🧵👇
October 6, 2026 at 9:04 AM
Reconstructing donor genotypes from scRNA-seq for downstream eQTL and HLA-TCR analysis #SingleCell 🧪🧬🖥️
https://www.biorxiv.org/content/10.64898/2026.09.30.755703v1
October 5, 2026 at 10:01 PM
Reconstructing donor genotypes from scRNA-seq for downstream eQTL and HLA-TCR analysis https://www.biorxiv.org/content/10.64898/2026.09.30.755703v1
October 5, 2026 at 8:45 PM
Reconstructing donor genotypes from scRNA-seq for downstream eQTL and HLA-TCR analysis https://www.biorxiv.org/content/10.64898/2026.09.30.755703v1
October 5, 2026 at 8:45 PM
3.88M cells from 704 human samples, spanning 16 ocular regions and 15 diseases. HOSCA harmonizes atlas-scale scRNA-seq into one interactive platform—bridging single-cell data to precision ophthalmology.
doi.org/10.1093/gpbj...
October 5, 2026 at 4:02 AM
A developmental single-cell atlas of the Drosophila visual system glia reveals cell type diversification and subcellular mRNA compartmentalization @PLOSBiology.org
A developmental single-cell atlas of the Drosophila visual system glia reveals cell type diversification and subcellular mRNA compartmentalization
by Amanda A. G. Ferreira, Sergio Córdoba, Raghuvanshi Rajesh, Ben Jiwon Choi, Claude Desplan Glial cells are essential for proper nervous system development and function. To understand glial development and function, we comprehensively annotated the glial cells from two large single-cell mRNA-sequencing (scRNA-seq) atlases of the developing Drosophila visual system. This allowed us to identify all glial cell types from larval to adult stages and follow their developmental trajectories to understand how the diversity of glial types is generated during development. We show that whereas most glial types, such as chiasm glia, gradually change their transcriptome as they mature during development, neuropil glia that transcriptionally appear as a single-cell class in larvae, splits into ensheathing (EG) and astrocyte-like (ALG) glia types during pupal stages. We have experimentally validated these developmental trajectories and identified the genetic markers expressed through the differentiation between EG and ALG classes. Unexpectedly, our analysis of scRNA-seq datasets allowed us to discover that the transcriptome of glial cell bodies can be distinguished from that of their processes. We have identified that processes are enriched for distinct mRNAs that were validated in vivo. This work provides the most detailed transcriptomic analysis of optic lobe glia during development and helps explain the expansion of glial diversity observed in the adult visual system. We also present an innovative computational approach to identify mRNA species that are differentially localized to cell bodies or cellular processes.
dlvr.it
October 5, 2026 at 1:38 AM
We refined cell type signatures that can be used to define various bone marrow hematopoietic and niche cells from scRNA-seq data. These signatures work across several different mammalian species including mouse and human.
October 4, 2026 at 8:55 AM
New publication from the groups of Duncan Odom, Marieke Essers and myself: Concentrating cell-type-specific transcriptional signatures in bone marrow from interspecies comparisons: Cell Genomics www.cell.com/cell-genomic...
@dkfz.bsky.social
Concentrating cell-type-specific transcriptional signatures in bone marrow from interspecies comparisons
The authors present a framework to isolate condensed marker gene signatures by requiring both conserved cell-type specificity and conserved expression across multi-species scRNA-seq datasets. Bone mar...
www.cell.com
October 4, 2026 at 8:53 AM
When to Target 50,000 Rather Than 20,000 Reads per Cell in scRNA-seq — https://quantbio.me/blog/when-to-target-50000-rather-than-20000-reads-per-cell-in-scrna-seq.php
October 3, 2026 at 11:42 PM