ArticleGenome biology2020
Systematic assessment of tissue dissociation and storage biases in single-cell and single-nucleus RNA-seq workflows.
Article in Genome biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 438 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
438 citing papers in PubMed, 2 syntheses or guidelines pooled it, 626 citations in OpenAlex.
- Single-cell RNA sequencing offers novel perspectives in viral infection research.Frontiers in cellular and infection microbiology · 2026Pooled it
- Towards a consensus atlas of human and mouse adipose tissue at single-cell resolution.Nature metabolism · 2025Guideline
- A YAP-TEAD-CTCF Transcriptional Regulatory Axis Associated With the Elimination of Injured Hepatocytes From the Liver.Genes to cells : devoted to molecular & cellular mechanisms · 2026Article
- Cytomegalovirus Latency Fuels Inflammation Following Myocardial Infarction.Circulation research · 2026Article
- Integrity of Tumor Tissue Collected by Ultrasonic Aspirator: A Cellular and Molecular Perspective.Neurosurgery practice · 2026Article
- A State-Resolved Single-Cell and Spatial Atlas RevealsMedComm · 2026Article
- T-Cell Remodeling in Renal Fibrosis: From Acute Injury to Chronic Kidney Disease.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Review
- A Conserved Macrophage-to-Hepatic Stellate Cell PDGF Axis in Human MASH Identified by Multi-Cohort sc/snRNA-Seq Re-Analysis.International journal of molecular sciences · 2026Article
- Benchmarking biomedical foundation models.Nature methods · 2026Review
- Mapping ovarian cellular and molecular landscape across the lifespan of women: a scoping review.Human reproduction update · 2026Article
- DeOPUS: cellular deconvolution via optimized power-transformed unmixing with shrinkage.Briefings in bioinformatics · 2026Article
- Spatially guided in vivo single-cell functional genomics of postnatal heart.Nature cardiovascular research · 2026Article
- Comment on "Transcriptomic profiling of an in vivo diffuse large B-cell lymphoma model reveals molecular programs underlying CNS dissemination".Annals of hematology · 2026Article
- Protocol for flash-freezing, pooling, and preparing single nuclei suspensions from amniote inner-ear sensory epithelia.STAR protocols · 2026Article
- Intact Cell Dissociation of Formalin-Fixed Paraffin-Embedded Colon Tissue Enhances Cell Recovery and Gene Detection in Single-Cell RNA Sequencing.Cellular and molecular gastroenterology and hepatology · 2026Article
- Translational insights and clinical challenges of targeting cancer stem cells.Signal transduction and targeted therapy · 2026Review
- Integrated inference of cellular compositions and gene expression programs by deconvolution.Cell regeneration (London, England) · 2026Article
- Enhancing pan-cancer spatial transcriptomics at single-cell resolution with stPainter.Nature communications · 2026Article
- Uncovering the signaling networks of disseminated glioblastoma cells in vivo with INSIGHT.Nature communications · 2026Article
378 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSingle-cell RNA sequencing has been widely adopted to estimate the cellular composition of heterogeneous tissues and obtain transcriptional profiles of individual cells. Multiple approaches for optimal sample dissociation and storage of single cells have been proposed as have single-nuclei profiling methods. What has been lacking is a systematic comparison of their relative biases and benefits.
resultsHere, we compare gene expression and cellular composition of single-cell suspensions prepared from adult mouse kidney using two tissue dissociation protocols. For each sample, we also compare fresh cells to cryopreserved and methanol-fixed cells. Lastly, we compare this single-cell data to that generated using three single-nucleus RNA sequencing workflows. Our data confirms prior reports that digestion on ice avoids the stress response observed with 37 °C dissociation. It also reveals cell types more abundant either in the cold or warm dissociations that may represent populations that require gentler or harsher conditions to be released intact. For cell storage, cryopreservation of dissociated cells results in a major loss of epithelial cell types; in contrast, methanol fixation maintains the cellular composition but suffers from ambient RNA leakage. Finally, cell type composition differences are observed between single-cell and single-nucleus RNA sequencing libraries. In particular, we note an underrepresentation of T, B, and NK lymphocytes in the single-nucleus libraries.
conclusionsSystematic comparison of recovered cell types and their transcriptional profiles across the workflows has highlighted protocol-specific biases and thus enables researchers starting single-cell experiments to make an informed choice.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.