Opposite directions of association of higher physical activity and higher insulin resistance with human skeletal muscle cell type abundance and fiber type-level gene expression #snRNAseq #SingleNucleus #RNAseq #genomics 🧪🧬🖥️ www.biorxiv.org/content/10.1...

Identification of Cell Fate Determining Transcription Factors for Generating Brain Endothelial Cells - Stem Cell Reviews and Reports Reliable models of the blood-brain barrier (BBB), wherein brain microvascular endothelial cells (BMECs) play a key role in maintenance of barrier function, are essential tools for developing therapeut...

Identification of Cell Fate Determining Transcription Factors for Generating Brain Endothelial Cells

#SingleCell #SingleNucleus #transcriptomics #MetaAnalysis #IPSC #StemCell #TranscriptionFactors #regulon

doi.org/10.1007/s120...

Contrasting genetic predisposition and diagnosis in psychiatric disorders: A multi-omic single-nucleus analysis of the human OFC Genetic risk and diagnosis for psychiatric disorders influence gene expression and chromatin accessibility in brain cells.

Beyond diagnosis: Nathalie Gerstner mapped gene expression and chromatin accessibility in the orbitofrontal cortex, to explore how genetic risk for psychiatric disorders shapes brain cells and differs from clinical diagnoses. www.science.org/doi/10.1126/... #Genomics #BrainCells #SingleNucleus

Unveiling adipose populations linked to metabolic health in obesity Metabolic disease risk in individuals with obesity is variable and influenced by so-far-unknown factors. Reinisch and Ghosh et al. uncovered distinct cell populations and transcriptional programs in adipose tissue that are strongly linked to metabolic disease. The findings suggest that visceral adipose tissue plasticity is key to maintaining metabolic health despite excess adiposity.

Reading now: Unveiling adipose populations linked to metabolic health in obesity by I Reinisch et al. #adipose #RNAseq #snRNAseq #SingleNucleus 🧬🖥️🧪

Accurate quantification of nascent and mature RNAs from single-cell and single-nucleus RNA-seq Abstract. In single-cell and single-nucleus RNA sequencing (RNA-seq), the coexistence of nascent (unprocessed) and mature (processed) messenger RNA (mRNA)

Reading now: Accurate quantification of nascent and mature RNAs from single-cell and single-nucleus RNA-seq by @delaneyksull.bsky.social @guillaumeolesan.bsky.social @pmelsted.bsky.social @lpachter.bsky.social et al. #RNAseq #scRNAseq #snRNAseq #SingleCell #SingleNucleus

Accurate quantification of nascent and mature RNAs from single-cell and single-nucleus RNA-seq Abstract. In single-cell and single-nucleus RNA sequencing (RNA-seq), the coexistence of nascent (unprocessed) and mature (processed) messenger RNA (mRNA)

Accurate quantification of nascent and mature RNAs from single-cell and single-nucleus RNA-seq. #RNA #SingleCell #SingleNucleus #RNAseq #NAR 🧬 🖥️
academic.oup.com/nar/advance-...

Alright, naive question time.
Random Priming & Extension is the standard method for transcriptome-wide sc/snRNAseq.

There has to be a transcript length bias, right? Right?
Anyone aware of any study of this and/or ways to adjust counts for it? #singlecell #neuroskyence #singlenucleus #bioinformatics