Exploring genome-transcriptome correlations in cancer

Ronemus, Michael, Bradford, Daniel, Laster, Zachary, Li, Siran (February 2025) Exploring genome-transcriptome correlations in cancer. Biochemical Society Transactions, 53 (1). ISSN 0300-5127

Abstract

We examine the complex relationship between genomic copy number variation (CNV) and gene expression, highlighting the relevance to cancer biology and other biological contexts. By tracing the history of genometranscriptome correlations, we emphasize the complexity and challenges in understanding these interactions, particularly within the heterogeneous landscape of human cancers. Recent advances in computational algorithms and high-throughput single-cell multi-omic sequencing technologies are discussed, demonstrating their potential to refine our understanding of cancer biology and their limitations. The integration of genomic and transcriptomic analyses, which offers novel insights into tumor evolution and heterogeneity as well as therapeutic strategies, is presented as a crucial approach for advancing cancer research.

Item Type: Paper
Subjects: bioinformatics
diseases & disorders
bioinformatics > genomics and proteomics
diseases & disorders > neoplasms
bioinformatics > computational biology > algorithms
bioinformatics > computational biology
CSHL Authors:
Communities: CSHL labs > Wigler lab
SWORD Depositor: CSHL Elements
Depositing User: CSHL Elements
Date: 5 February 2025
Date Deposited: 07 Feb 2025 19:48
Last Modified: 07 Feb 2025 19:48
Related URLs:
URI: https://repository.cshl.edu/id/eprint/41791

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