​Which in vitro model best reflects human disease? We compared scRNA-seq profiles of >150K PBMCs across 11 stimuli, mapping them against inflammatory diseases like SLE to highlight the most clinically relevant models. Free data: doi.org/10.1186/s130... 🧪🧬🖥️ #immunosky #scRNAseq #SingleCell

I'm pleased to announce the latest work from the Grayson Lab. Check out the disparate nature of atopy versus NRG1 in protection from lethal respiratory viral infections. This is work funded by #NIH. #Immunosky #Immunology #Medsky #virus #scRNAseq

www.nature.com/articles/s41...

With both pipelines and a Galaxy workflow available, the developers welcome the #scRNAseq and #spatial community to use and test the pipelines, and suggest features to help shape future developments.

Registration closes soon for our hands-on training course in #longread #scRNAseq, covering everything from experimental design to data interpretation with our research faculty.

https://okt.to/Y8HrpT

A valuable step toward connecting atlas-scale single-cell data with ocular biology and precision ophthalmology.

#SingleCell #scRNAseq #Ophthalmology #Transcriptomics #CellAtlas

Using #stickleback (several different tissues) we use single cell RNAseq #scRNAseq to define genes that distinguish particular cell types. We merge this with population genetic data on among-lake variation, and phylogenetic data on among-species divergence...

Join our new training course for hands-on experience in long-read #scRNAseq, covering everything from experimental design to data interpretation with our research faculty.

Find out more below ⤵️

#longreads #singlecell #RNAseq

🔗 Graph Topology Reframes the Coherence of Cell-State Manifold Inference under Heterogeneous Single-Cell Observations. doi.org/10.34133/csb...

📚 CSBJ - A Science Partner Journal: spj.science.org/journal/csbj

@csbj.org #scRNAseq #SingleCellOmics #Transcriptomics #SystemsBiology #CellBiology #Omics

We have developed Ciclopes, a biology-informed deep-learning framework that uses an autoencoder to reconstruct periodic gene expression dynamics and estimates phase-dependent transcription and degradation rates #CompBio, #DeepLearning, #MechansticModelling, #scRNAseq.

Join our new training course for hands-on experience in long-read #scRNAseq, covering everything from experimental design to data interpretation with our research faculty.

Find out more below ⤵️

#longreads #singlecell #RNAseq

🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥🤩
#reproduction #scRNAseq #Drosophila

A very successful scRNA-seq data analysis & Chipster course + CSC & ELIXIR Finland minisymposium on life science resources! 🧬
Organized by MBC Core, CSC & ELIXIR Finland, with financial support from BioCity Turku.
#scRNAseq #Chipster #ELIXIR #CSC
@turkubioscience.bsky.social @utu.fi

🧵 How can we reconstruct cellular spatial organization when spatial transcriptomics lacks single-cell resolution?

A new #GPB study introduces SPCC, a deep-learning framework integrating #scRNAseq and #SpatialTranscriptomics to infer spatial cell–cell interactions. 1/6

📄 Read the paper:
academic.oup.com/gpb/advance-...
#SingleCell #scRNAseq #Genomics #Hemangioma #Propranolol #VascularBiology #Bioinformatics

Single-cell profiling of pancreatic islets maps subtype-associated molecular alterations in type 2 diabetes, highlighting distinct endocrine stress and metabolic signatures across these clinical subgroups. #Diabetes #Subtype #scRNAseq link.springer.com/article/10.1... 🔒

Working with single-cell RNA-Seq data and wondering where to start with the analysis?
This blog includes the main steps:
https://www.fiosgenomics.com/single-cell-rna-seq-data-analysis-workflow
#omics #bioinformatics #singlecell #scRNAseq