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AuthorAhmed, Rashid
AuthorZaman, Tariq
AuthorChowdhury, Farhan
AuthorMraiche, Fatima
AuthorTariq, Muhammad
AuthorAhmad, Irfan S.
AuthorHasan, Anwarul
Available date2023-06-08T10:30:05Z
Publication Date2022
Publication NameInternational Journal of Molecular Sciences
ResourceScopus
URIhttp://dx.doi.org/10.3390/ijms23063042
URIhttp://hdl.handle.net/10576/44233
AbstractSingle-cell RNA sequencing (RNA-seq) techniques can perform analysis of transcriptome at the single-cell level and possess an unprecedented potential for exploring signatures involved in tumor development and progression. These techniques can perform sequence analysis of transcripts with a better resolution that could increase understanding of the cellular diversity found in the tumor microenvironment and how the cells interact with each other in complex heterogeneous cancerous tissues. Identifying the changes occurring in the genome and transcriptome in the spatial context is considered to increase knowledge of molecular factors fueling cancers. It may help develop better monitoring strategies and innovative approaches for cancer treatment. Recently, there has been a growing trend in the integration of RNA-seq techniques with contemporary omics technologies to study the tumor microenvironment. There has been a realization that this area of research has a huge scope of application in translational research. This review article presents an overview of various types of single-cell RNA-seq techniques used currently for analysis of cancer tissues, their pros and cons in bulk profiling of transcriptome, and recent advances in the techniques in exploring heterogeneity of various types of cancer tissues. Furthermore, we have highlighted the integration of single-cell RNA-seq techniques with other omics technologies for analysis of transcriptome in their spatial context, which is considered to revolutionize the understanding of tumor microenvironment.
SponsorThis article was made possible by the NPRP10-0120-170211 grant funded by the Qatar National Research Fund (a part of the Qatar Foundation). The statements made here are the sole responsibility of the authors.
Languageen
PublisherMDPI
SubjectIntratumor heterogeneity
Single-cell RNA sequencing techniques
Spatial transcriptomics
TitleSingle-Cell RNA Sequencing with Spatial Transcriptomics of Cancer Tissues
TypeArticle Review
Issue Number6
Volume Number23
dc.accessType Open Access


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