Martin Enge from the Karolinska Institutet will present his research as part of the NCMM Tuesday Seminar Series.
Time and place: – ,
Forum, Oslo Science Park, Gaustadalleen 21
Single-cell multiomics for cancer biology
Cell types in healthy tissues only take on a finite number of states, since they are generated following a strict developmental program, and characterization of every cell type in human tissues is therefore possible. However, cancer cells carry genetic alterations that may remove such constraints, leading to a fundamental challenge: the potential co-existence of genetically distinct clones, each supporting multiple stable cancer cell states. This motivates the development of multiomics approaches for applications in cancer.
We have recently developed methodology for joint mRNA and genetic analysis in single cells. We are applying DNTR-seq to study childhood leukemia in a longitudinal fashion, during treatment and at relapse. This approach allows us to identify resistant clones, as well as the appearance of genetically identical phenotypes that persist treatment. We are also studying several solid cancers with a high genetic heterogeneity to understand the general rules of how copy number differences affect gene expression.
Relevant references:
An unsupervised and broadly applicable method for physical cell interaction profiling of complex tissues. Andrews N, Serviss JT, Geyer N, Andersson A, Dzwonkowska E, Heijboer R, Baryawno N, Gerling M, Enge M.
Nature Methods volume 18, 912–920 (2021)
A highly scalable method for joint whole genome sequencing and gene expression profiling of single cells. Zachariadis V, Cheng H, Andrews N, Enge M. Molecular Cell, 80:3, 5 Nov. 2020. pp541-553.e5
Single cell analysis of human pancreas reveals transcriptional signatures of aging and somatic mutation patterns. Enge M, Arda HE, Mignardi M, Kim SK, Quake, SR. Cell. 2017 Oct 5;171(2):321-330.e14. doi: 10.1016/j.cell.2017.09.004.
PublishedDec. 14, 2022 3:16 PM - Last modifiedJan. 13, 2023 9:33 AM
