Single‐cell sequencing in translational cancer research and challenges to meet clinical diagnostic needs

The ability to capture alterations in the genome or transcriptome by next‐generation sequencing has provided critical insight into molecular changes and programs underlying cancer biology. With the rapid technological development in single‐cell sequencing, it has become possible to study individual...

Full description

Saved in:
Bibliographic Details
Published inGenes chromosomes & cancer Vol. 60; no. 7; pp. 504 - 524
Main Authors Pfisterer, Ulrich, Bräunig, Julia, Brattås, Per, Heidenblad, Markus, Karlsson, Göran, Fioretos, Thoas
Format Journal Article
LanguageEnglish
Published Hoboken, USA John Wiley & Sons, Inc 01.07.2021
Wiley Subscription Services, Inc
Subjects
Animals
Cancer
Cancer and Oncology
Cancer och onkologi
Cancer research
clinical diagnostics
Clinical Medicine
clinical utility
Epigenetics
Gene expression
Genetic Testing - methods
Genetic Testing - standards
Genomes
Humans
Klinisk medicin
Medical and Health Sciences
Medical research
Medicin och hälsovetenskap
Neoplasms - diagnosis
Neoplasms - genetics
RNA-Seq - methods
RNA-Seq - standards
Single-Cell Analysis - methods
Single-Cell Analysis - standards
single‐cell sequencing
Transcription
Transcriptomes
Translational Research, Biomedical - methods
Translational Research, Biomedical - standards
single-cell sequencing
clinical diagnostics
clinical utility
cancer research
Online AccessGet full text

Cover

More Information
Summary:The ability to capture alterations in the genome or transcriptome by next‐generation sequencing has provided critical insight into molecular changes and programs underlying cancer biology. With the rapid technological development in single‐cell sequencing, it has become possible to study individual cells at the transcriptional, genetic, epigenetic, and protein level. Using single‐cell analysis, an increased resolution of fundamental processes underlying cancer development is obtained, providing comprehensive insights otherwise lost by sequencing of entire (bulk) samples, in which molecular signatures of individual cells are averaged across the entire cell population. Here, we provide a concise overview on the application of single‐cell analysis of different modalities within cancer research by highlighting key articles of their respective fields. We furthermore examine the potential of existing technologies to meet clinical diagnostic needs and discuss current challenges associated with this translation.
Bibliography:Funding information
Governmental ALF grants; Lund University Cancer Center (LUCC); Medical Faculty Lund University; SciLifeLab Stockholm; StemTherapy Lund University
ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-3
content type line 23
ObjectType-Review-1
ISSN:1045-2257
1098-2264
DOI:10.1002/gcc.22944