ArticleMolecular cell2019
Unravelling Intratumoral Heterogeneity through High-Sensitivity Single-Cell Mutational Analysis and Parallel RNA Sequencing.
Article in Molecular cell, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 187 papers, 1 of them a synthesis that pooled it.
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Who cites it
187 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Deep learning in single-cell and spatial transcriptomics data analysis: advances and challenges from a data science perspective.Briefings in bioinformatics · 2025Pooled it
- HMGA1 and HMGA2: epigenetic regulators in myeloproliferative neoplasms and novel platelet transcriptomic biomarkers of myelofibrosis.Leukemia · 2026Article
- Type 1 interferon perturbates clonal competition by reshaping human blood development.Nature genetics · 2026Article
- A single-cell lens into the co-evolution of genotypes and phenotypes in cancer.Nature reviews. Cancer · 2026Review
- Evolutionary considerations for risk stratification in TP53-variant myeloproliferative neoplasms.Leukemia · 2026Article
- Defining and predicting disease progression in myeloproliferative neoplasms: a proposed biomarker-driven approach.Leukemia · 2026Review
- Single-cell long-read genotyping of transcripts reveals discrete mechanisms of clonal evolution in post-MPN AML.Blood advances · 2026Article
- Clonal Metamorphosis: Deconstructing MPN Evolution with Single-Cell and Spatial Multi-Omics.Clinical and experimental medicine · 2026Review
- Charting single-cell lineages with synthetic and natural barcodes.Nature reviews. Genetics · 2026Review
- Platelets Outperform Leukocytes in Transcriptomic Liquid Biopsy Profiling of Myeloproliferative Neoplasms.bioRxiv : the preprint server for biology · 2026Article
- Single-Cell and Spatial Omics: Methods and Applications.MedComm · 2026Review
- A practical guide to targeted single-cell RNA sequencing technologies.Communications biology · 2026Review
- ATRX loss couples genome instability at a G-rich repeat to dysregulation of human alpha-globin expression.Nature communications · 2026Article
- The Role and Impact of Non-driver Gene Mutations in Myelofibrosis.Current hematologic malignancy reports · 2026Review
- Sabotaged Integral HSC Heterogeneity Underlies Essential Thrombocythemia Development.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Co-mapping clonal and transcriptional heterogeneity in somatic evolution via GoT-Multi.Cell genomics · 2026Article
- A technical comparison of spatial transcriptomics platforms across six cancer types.Genome biology · 2026Article
- RoCK and ROI: single-cell transcriptomics with multiplexed enrichment of selected transcripts and region-specific sequencing.Nature communications · 2025Article
- Targeting the roots of myeloid malignancies with T cell receptors.Nature reviews. Cancer · 2025Review
- NLRP3-induced systemic inflammation controls the development of JAK2V617F mutant myeloproliferative neoplasms.Nature communications · 2025Article
127 more citing papers are in PubMed but not listed here.
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15 authors.
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Abstract
Single-cell RNA sequencing (scRNA-seq) has emerged as a powerful tool for resolving transcriptional heterogeneity. However, its application to studying cancerous tissues is currently hampered by the lack of coverage across key mutation hotspots in the vast majority of cells; this lack of coverage prevents the correlation of genetic and transcriptional readouts from the same single cell. To overcome this, we developed TARGET-seq, a method for the high-sensitivity detection of multiple mutations within single cells from both genomic and coding DNA, in parallel with unbiased whole-transcriptome analysis. Applying TARGET-seq to 4,559 single cells, we demonstrate how this technique uniquely resolves transcriptional and genetic tumor heterogeneity in myeloproliferative neoplasms (MPN) stem and progenitor cells, providing insights into deregulated pathways of mutant and non-mutant cells. TARGET-seq is a powerful tool for resolving the molecular signatures of genetically distinct subclones of cancer cells.
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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.