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Unravelling Intratumoral Heterogeneity through High-Sensitivity Single-Cell Mutational Analysis and Parallel RNA Sequencing.

Molecular cell | 2019

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.

Pubmed ID: 30765193 RIS Download

Associated grants

  • Agency: Medical Research Council, United Kingdom
    Id: MC_UU_12009/5
  • Agency: Medical Research Council, United Kingdom
    Id: MR/L006340/1
  • Agency: Medical Research Council, United Kingdom
    Id: MC_PC_12020
  • Agency: Medical Research Council, United Kingdom
    Id: G84/6443
  • Agency: Medical Research Council, United Kingdom
    Id: G0501838
  • Agency: Medical Research Council, United Kingdom
    Id: MC_UU_00016/15
  • Agency: Medical Research Council, United Kingdom
    Id: MC_UU_12009/16
  • Agency: Cancer Research UK, United Kingdom
    Id: 29034
  • Agency: Medical Research Council, United Kingdom
    Id: MC_UU_00016/5
  • Agency: Medical Research Council, United Kingdom
    Id: G0801073

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This is a list of tools and resources that we have found mentioned in this publication.


dbSNP (tool)

RRID:SCR_002338

Database as central repository for both single base nucleotide substitutions and short deletion and insertion polymorphisms. Distinguishes report of how to assay SNP from use of that SNP with individuals and populations. This separation simplifies some issues of data representation. However, these initial reports describing how to assay SNP will often be accompanied by SNP experiments measuring allele occurrence in individuals and populations. Community can contribute to this resource.

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RefSeq (tool)

RRID:SCR_003496

Collection of curated, non-redundant genomic DNA, transcript RNA, and protein sequences produced by NCBI. Provides a reference for genome annotation, gene identification and characterization, mutation and polymorphism analysis, expression studies, and comparative analyses. Accessed through the Nucleotide and Protein databases.

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RSeQC (tool)

RRID:SCR_005275

Software package to comprehensively evaluate different aspects of RNA-seq experiments, such as sequence quality, GC bias, polymerase chain reaction bias, nucleotide composition bias, sequencing depth, strand specificity, coverage uniformity and read distribution over the genome structure. RSeQC takes both SAM and BAM files as input, which can be produced by most RNA-seq mapping tools as well as BED files, which are widely used for gene models.

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Systems Transcriptional Activity Reconstruction (tool)

RRID:SCR_005622

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QIAGEN (tool)

RRID:SCR_008539

A commercial organization which provides assay technologies to isolate DNA, RNA, and proteins from any biological sample. Assay technologies are then used to make specific target biomolecules, such as the DNA of a specific virus, visible for subsequent analysis.

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FISHER (tool)

RRID:SCR_009181

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Subread (tool)

RRID:SCR_009803

Software package for high-performance read alignment, quantification and mutation discovery.General purpose read aligner which can be used to map both genomic DNA-seq reads and RNA-seq reads. Subread aligner as fast, accurate and scalable read mapping by seed-and-vote.These programs were also implemented in Bioconductor R package Rsubread.

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SAM format (tool)

RRID:SCR_012093

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RRID:SCR_013054

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RRID:SCR_013575

Company provides laboratories worldwide with analytical instruments and supplies, clinical and diagnostic testing services, consumables, applications and expertise in life sciences and applied chemical markets.

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pagoda2 (tool)

RRID:SCR_017094

Software R package for analyzing and interactively exploring large single cell RNAseq datasets.

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STAR (tool)

RRID:SCR_004463

Software performing alignment of high-throughput RNA-seq data. Aligns RNA-seq reads to reference genome using uncompressed suffix arrays.

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RRID:CVCL_0065

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RRID:AB_314624

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RRID:AB_2075096

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RRID:AB_493576

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FITC anti-human CD66b (antibody)

RRID:AB_314496

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MOLT-4 (cell line)

RRID:CVCL_0013

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R Project for Statistical Computing (software resource)

RRID:SCR_001905

Software environment and programming language for statistical computing and graphics. R is integrated suite of software facilities for data manipulation, calculation and graphical display. Can be extended via packages. Some packages are supplied with the R distribution and more are available through CRAN family.It compiles and runs on wide variety of UNIX platforms, Windows and MacOS.

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Jurkat E6.1 (cell line)

RRID:CVCL_0367

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STAR (software resource)

RRID:SCR_015899

Software performing alignment of high-throughput RNA-seq data. Aligns RNA-seq reads to reference genome using uncompressed suffix arrays.

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SET-2 (cell line)

RRID:CVCL_2187

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bcl2fastq (software processing resource)

RRID:SCR_015058

Conversion software that both demultiplexes data and converts BCL files generated by Illumina sequencing systems to standard FASTQ file formats for downstream analysis.

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NALM-6 (cell line)

RRID:CVCL_0092

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K-562 (cell line)

RRID:CVCL_0004

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RRID:SCR_002798

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FlowJo (software resource)

RRID:SCR_008520

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RRID:SCR_003199

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featureCounts (software resource)

RRID:SCR_012919

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SAMTOOLS (software resource)

RRID:SCR_002105

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MOLT-4 (cell line)

RRID:CVCL_0013

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R Project for Statistical Computing (software resource)

RRID:SCR_001905

Software environment and programming language for statistical computing and graphics. R is integrated suite of software facilities for data manipulation, calculation and graphical display. Can be extended via packages. Some packages are supplied with the R distribution and more are available through CRAN family.It compiles and runs on wide variety of UNIX platforms, Windows and MacOS.

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Jurkat E6.1 (cell line)

RRID:CVCL_0367

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RRID:SCR_003199

Software package for interpreting gene expression data. Used for interpretation of a large-scale experiment by identifying pathways and processes.

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