Project description:We developed TARGET-seq, a single-cell genotyping and RNA-seq method, which allows accurate detection of multiple mutations within single-cells from genomic and coding DNA in parallel with whole transcriptome analysis, providing a powerful tool to link transcriptional and genetic tumor heterogeneity. Single cell whole transcriptome sequencing of Lineage-CD34+ HSPC (Hematopoietic Stem and Progenitor Cells) from patients with myeloproliferative neoplasms and normal controls using full-length TARGET-seq reveals distinct molecular signatures associated with the presence of somatic mutations in single cells as well as distinct transcriptional profiles of WT cells from patient samples as compared with normal controls.
Project description:We developed 3'-TARGET-seq, a single-cell genotyping and RNA-seq method, which allows accurate detection of multiple mutations within single-cells from genomic and coding DNA in parallel with high throughput 3'-biased whole transcriptome analysis, providing a powerful tool to link transcriptional and genetic tumor heterogeneity. Single cell whole transcriptome sequencing of 2798 Lineage-CD34+ HSPC (Hematopoietic Stem and Progenitor Cells) from patients with JAK2-V617F mutant myelofibrosis and normal controls using 3'-TARGET-seq reveals distinct molecular signatures associated with the presence of somatic mutations in single cells as well as distinct transcriptional profiles of WT cells from patient samples as compared with normal controls.
Project description:Understanding clonal evolution and cancer development requires experimental approaches for characterizing the consequences of somatic mutations on gene regulation. However, no methods currently exist that efficiently link chromatin accessibility with genotype in single cells. To address this, we developed Genotyping with the Assay for Transposase-Accessible Chromatin (GTAC), enabling accurate mutation detection at multiple amplified loci, coupled with robust chromatin accessibility readout. We applied GTAC to primary acute myeloid leukemia, obtaining high-quality chromatin accessibility profiles and clonal identities for multiple mutations in 88% of cells. We traced chromatin variation throughout clonal evolution, showing the restriction of different clones to distinct differentiation stages. Furthermore, we identified switches in transcription factors motif accessibility associated with a specific combination of driver mutations, which biased transformed progenitors towards a leukemia stem cell-like chromatin state. GTAC is a powerful tool to study clonal heterogeneity across a wide spectrum of pre-malignant and neoplastic conditions.
Project description:We developed TARGET-seq, a single-cell genotyping and RNA-seq method, which allows accurate detection of multiple mutations within single-cells from genomic and coding DNA in parallel with whole transcriptome analysis, providing a powerful tool to link transcriptional and genetic tumor heterogeneity. Single cell whole transcriptome analysis of JURKAT, SET2 and HSPCs using SMART-seq+, mRNA targeting (tSMARTseq) or TARGET-seq reveals very good correlations between methods.
Project description:Abstract Mutations in the gene encoding nucleophosmin (NPM1) carry prognostic value for patients with acute myeloid leukemia (AML). Various techniques are currently being used to detect these mutations in routine molecular diagnostics. Incorporation of accurate NPM1 mutation detection on a gene expression platform would enable simultaneous detection with various other expression biomarkers. Here we present an array based mutation detection using custom probes for NPM1 WT mRNA and NPM1 type A, B, and D mutant mRNA. This method was 100% accurate on a training cohort of 505 newly diagnosed unselected AML cases. Validation on an independent cohort of 143 normal karyotype AML cases revealed no false negative results, and one false positive (sensitivity 100.0%, and specificity 98.7%). Based on this, we conclude that this method provides a reliable method for NPM1 mutation detection. The method can be applied to other genes/mutations as long as the mutant alleles are sufficiently high expressed. Validation cohort of 143 AML cases analyzed using the AMLprofiler
Project description:Abstract Mutations in the gene encoding nucleophosmin (NPM1) carry prognostic value for patients with acute myeloid leukemia (AML). Various techniques are currently being used to detect these mutations in routine molecular diagnostics. Incorporation of accurate NPM1 mutation detection on a gene expression platform would enable simultaneous detection with various other expression biomarkers. Here we present an array based mutation detection using custom probes for NPM1 WT mRNA and NPM1 type A, B, and D mutant mRNA. This method was 100% accurate on a training cohort of 505 newly diagnosed unselected AML cases. Validation on an independent cohort of 143 normal karyotype AML cases revealed no false negative results, and one false positive (sensitivity 100.0%, and specificity 98.7%). Based on this, we conclude that this method provides a reliable method for NPM1 mutation detection. The method can be applied to other genes/mutations as long as the mutant alleles are sufficiently high expressed. Training cohort of 505 AML cases analyzed using the AMLprofiler
