ArticleCommunications biology2023
Single-cell gene and isoform expression analysis reveals signatures of ageing in haematopoietic stem and progenitor cells.
Article in Communications biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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
16 citing papers in PubMed.
- Current trends and challenges in deciphering single molecule resolution maps of single cell transcriptomes.Briefings in bioinformatics · 2026Review
- ICON: An isoform-aware hierarchical random forest model for cell type classification.bioRxiv : the preprint server for biology · 2026Article
- Targeting splicing-derived neoantigens for precision cancer immunotherapy.Frontiers in immunology · 2026Review
- TLR5 Signaling Causes Dendritic Cell Dysfunction and Orchestrates Failure of Immune Checkpoint Therapy against Ovarian Cancer.Cancer immunology research · 2025Article
- Long-read single-cell RNA sequencing enables the study of cancer subclone-specific genotypes and phenotypes in chronic lymphocytic leukemia.Genome research · 2025Article
- Advancing automated cell type annotation with large language models and single-cell isoform sequencing.Computational and structural biotechnology journal · 2025Review
- Splicing the Difference: Harnessing the Complexity of the Transcriptome in Hematopoiesis.Experimental hematology · 2024Review
- Why an integrated view of gene expression studies on hematopoiesis in mouse aging is better than the sum of their parts.FEBS letters · 2024Review
- Advances in single-cell long-read sequencing technologies.NAR genomics and bioinformatics · 2024Article
- Article
- Long-read single-cell RNA sequencing enables the study of cancer subclone-specific genotype and phenotype in chronic lymphocytic leukemia.bioRxiv : the preprint server for biology · 2024Article
- Interrogations of single-cell RNA splicing landscapes with SCASL define new cell identities with physiological relevance.Nature communications · 2024Article
- stMMR: accurate and robust spatial domain identification from spatially resolved transcriptomics with multimodal feature representation.GigaScience · 2024Article
- Applications of long-read sequencing to Mendelian genetics.Genome medicine · 2023Review
- IsoTools: a flexible workflow for long-read transcriptome sequencing analysis.Bioinformatics (Oxford, England) · 2023Article
- The spatial landscape of gene expression isoforms in tissue sections.Nucleic acids research · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Single-cell approaches have revealed that the haematopoietic hierarchy is a continuum of differentiation, from stem cell to committed progenitor, marked by changes in gene expression. However, many of these approaches neglect isoform-level information and thus do not capture the extent of alternative splicing within the system. Here, we present an integrated short- and long-read single-cell RNA-seq analysis of haematopoietic stem and progenitor cells. We demonstrate that over half of genes detected in standard short-read single-cell analyses are expressed as multiple, often functionally distinct, isoforms, including many transcription factors and key cytokine receptors. We observe global and HSC-specific changes in gene expression with ageing but limited impact of ageing on isoform usage. Integrating single-cell and cell-type-specific isoform landscape in haematopoiesis thus provides a new reference for comprehensive molecular profiling of heterogeneous tissues, as well as novel insights into transcriptional complexity, cell-type-specific splicing events and consequences of ageing.
Indexed as
Identifiers
What Socratic 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 Socratic graph.