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Publications

Reconstructing mutational lineages in breast cancer by multi-patient targeted single cell sequencing


Jake Leighton, Min Hu, Emi Sei, Funda Meric-Bernstam, Nicholas E. Navin
Cell Genomics Nov 2022
Abstract

Single cell DNA sequencing (scDNA-seq) methods are powerful tools for profiling mutations in cancer cells, however most genomic regions characterized in single cells are non-informative. To overcome this issue, we developed a Multi-Patient-Targeted (MPT) scDNA-seq sequencing method. MPT involves first performing bulk exome sequencing across a cohort of cancer patients to identify somatic mutations, which are then pooled together to develop a single custom targeted panel for high-throughput scDNA-seq using a microfluidics platform. We applied MPT to profile 330 mutations across 23,500 cells from 5 TNBC patients, which showed that 3 tumors were monoclonal and 2 tumors were polyclonal. From this data, we reconstructed mutational lineages and identified early mutational and copy number events, including early TP53 mutations that occurred in all five patients. Collectively, our data suggests that MPT can overcome technical obstacles for studying tumor evolution using scDNA-seq by profiling information-rich mutation sites.

VIEW

Area

Solid Tumor

Institution Type

Academia

Indication / Modality

Breast Carcinoma

Goal of Study

Clonal Heterogeneity, Tumor Profiling

Key Genes

TP53, NOTCH3, DNMK, RASAL2, NAT9, USP21, RIMS2, GRIN3A, PTPN4, AKAP6, IQGAP3, SPTA1, TBX4, PIN4, ZMAT1, SULTIE1, COL5A3, TMTC1, ZFHX4

PAD Project

No

Analytes Assessed

CNV, InDels, SNV

Sample Storage

Frozen

Sample Prep

Nuclei Prep

Sample Type

Patient Material

Tissue / Organ

Breast

Species

Human

Panel Used

Custom

Proof Point Demonstrated

Clonality, Co-occurrence
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